Skip to main content
Journal of Translational Medicine logoLink to Journal of Translational Medicine
. 2026 Feb 7;24:345. doi: 10.1186/s12967-026-07792-0

Overcoming therapeutic challenges in acute myeloid leukemia: active targeting strategies by nano-drug delivery systems

Yuqian Tang 1, Jiaxin Li 2, Wu Ye 3, Yiwen Du 1, Ying Zhang 1, Yunxia Ye 2, Yuping Gong 1,
PMCID: PMC12977839  PMID: 41654885

Abstract

Background

Acute myeloid leukemia (AML) is a highly aggressive hematological malignancy characterized by poor overall survival and high relapse rates. The standard chemotherapy remains the conventional “7+3” regimens, while the suboptimal pharmacokinetics and significant systemic toxicity in AML present ongoing challenges to long-term disease control. Nano-drug delivery systems (NDDSs) have emerged as a promising strategy to overcome these barriers by enabling enhanced drug stability, targeted delivery, and specific distribution. Although several NDDS-based therapies have been approved by FDA, the clinical translation of nanomedicine in AML remains limited. This is largely due to the unique pathophysiology of AML, which lacks the vascular structures found in solid tumors, resulting in a limited and atypical enhanced permeability and retention (EPR) effect. Active targeting strategies, including antibody, aptamer, and peptide-based ligand modifications, offer a compelling approach to improve cellular specificity and therapeutic efficacy.

Methods

In this review, we provide a comprehensive overview of NDDSs engineered for AML, focusing on recent advances in active targeting approaches, their mechanistic advantages, and translational challenges.

Results

Current active-targeting NDDSs in AML generally follow two major directions. One direction focuses on surface receptors that are aberrantly overexpressed on AML cells, thereby improving payload specificity. The other direction focuses on bone marrow (BM)-targeted nanocarriers that utilize cell homing mechanisms and disease-associated markers of the BM microenvironment.

Conclusion

NDDSs designed for different targets, carrier materials, and release mechanisms have demonstrated improved pharmacodynamic effects, but they remain at the preclinical stage. Based on a summary of the current challenges facing NDDSs, this review further discusses key directions for next-generation system design, such as the development of personalized carriers, reduction of off-target effects, and more effective delivery to leukemia stem cells.

Keywords: Acute myeloid leukemia, Nano-drug delivery system, Nanomedicine, Target therapy

Introduction

Acute myeloid leukemia (AML) is a highly aggressive hematologic malignancy characterized by clonal expansion of undifferentiated myeloid precursors, leading to the disruption of normal hematopoiesis. The disease progresses rapidly, with high relapse rates and poor overall survival, especially among elderly and unfit patients [13]. The standard first-line “7+3” regimen, consisting of 7 days of cytarabine (Ara-C) and 3 days of an anthracycline, has remained largely unchanged for decades [4, 5]. Despite the incorporation of molecularly targeted agents, including FLT3 inhibitors (midostaurin, gilteritinib, quizartinib) [68], IDH1/2 inhibitors (ivosidenib, enasidenib) [9, 10], and BCL-2 inhibitors (venetoclax) [11], long-term outcomes remain unfavorable. Hematopoietic stem cell transplantation (HSCT) offers curative potential but is limited by donor availability, toxicity, and cost [12, 13]. Immunotherapeutic approaches such as monoclonal antibodies (mAbs), antibody-drug conjugates (ADCs), and CAR-T cell therapy are emerging, yet they are associated with significant adverse events and variable efficacy in AML due to antigen heterogeneity and immune evasion [14, 15].

Key challenges in AML therapy are the systemic dissemination, as well as the pronounced genetic and phenotypic heterogeneity. Traditional chemotherapy lacks specificity and causes off-target toxicities, while small-molecule inhibitors are only effective in patients with select mutations and may face resistance. These limitations underscore the urgent need for more precise and personalized therapeutic strategies.

In this context, nano-drug delivery systems (NDDSs) have gained significant attention in oncology for their ability to improve pharmacokinetics, enhance tumor specificity, and minimize systemic toxicity [1618]. NDDSs such as liposomes, polymeric micelles, dendrimers, and antibody-conjugated nanocarriers have demonstrated therapeutic potential in various tumors, including AML. For example, CPX-351, a liposomal co-formulation of Ara-C and daunorubicin (DNR), has been approved by the FDA for high-risk AML subtypes, demonstrating improved survival compared to conventional chemotherapy [19, 20].

In AML, passive targeting through the enhanced permeability and retention (EPR) effect can result in nanoparticle accumulation in the splenic and hepatic sinusoids, as well as inflamed bone marrow niches [2123]. Nevertheless, this level of passive targeting is insufficient to ensure effective drug delivery, as leukemia cells (LCs) circulate freely in the bloodstream and infiltrate organs rather than forming solid tumor masses. Therefore, this fundamental difference necessitates the development of active targeting strategies. AML cells aberrantly overexpress specific surface receptors, allowing NDDSs to achieve precise drug delivery through receptor-ligand interactions. This approach overcomes the non-specific distribution of conventional chemotherapeutic agents. In parallel, by moving beyond a precision medicine paradigm that relies solely on intracellular genetic mutations, it also offers a new strategy to address the marked heterogeneity of AML. Consequently, this strategy has the potential to shift the current subtype-specific treatment model toward a more broadly applicable therapeutic platform with improved efficacy and reduced toxicity, ultimately increasing remission rates, lowering relapse risk, and improving long-term survival.

In this review, we summarize the current landscape of active targeting strategies employed in NDDSs for AML treatment (Fig. 1), including available target receptor, nanocarrier engineering, and delivery mechanisms. We further discuss preclinical progress, translational obstacles, and potential solutions for promoting nanomedicine into AML clinical practice. Our aim is to provide a comprehensive framework for understanding and guiding the future development of precision-targeted nanomedicines in the treatment of AML.

Fig. 1.

Fig. 1

Schematic overview of targeted drug delivery strategies for the treatment of acute myeloid leukemia

NDDSs for AML cells-specific delivery

Active targeting strategies utilizing AML surface receptors have emerged as a promising approach to achieve precise therapy. This section focuses on specific receptors that are aberrantly overexpressed on AML blasts but are low or absent on normal cells. The corresponding receptors and their nanocarrier applications are summarized in Table 1.

Table 1.

Actively targeted drug delivery systems based on leukemic cell surface receptors

Target Ligand Cargo Carrier Stimuli Animal model Year Ref
Type Cell Site
CXCR4 E5 E5 Micelle - CDX (SRM) AE&CKITD816V-transduced splenocytes Disseminated 2020 [24]
CXCR4 E5 E5+DOX Micelle - CDX (SRM) AE&CKITD816V-transduced splenocytes Disseminated 2022 [25]
CXCR4 E5 Fe3O4 and Pt Nanozyme pH CDX HL-60 Disseminated 2021 [26]
CXCR4/CD44 E5/HA DNR PBNP - CDX HL-60 Disseminated 2021 [27]
CXCR4 E5 DNR + Ara-C HMPBs Laser - - - 2021 [28]
CXCR4 E5 E5+AraN Liposome - CDX HL-60-Luc Disseminated 2024 [29]
CXCR4 T22 mRTA NCs - CDX THP-1-Luc Disseminated 2018 [30]
CXCR4 T22 MMAE NCs - CDX THP-1-Luc Disseminated 2020 [31]
CXCR4 T22 Ara-C NCs - CDX THP-1-Luc Disseminated 2022 [32]
CXCR4 T22 DITOX NCs - CDX THP-1-Luc Disseminated 2021 [33]
CXCR4 T22 PE24 NCs - CDX MONO-MAC-6-Luc Disseminated 2023 [34]
CXCR4 T22 MMAE NCs - CDX THP-1- Luc Disseminated 2022 [35]
CXCR4/MUC1 T22-NLS/aptarmer CRISPR-Case9 plasmid Composite nanocarrier - - - - 2022 [36]
CXCR4 T22 VEN + SOR Micelle - CDX MV4-11-Luc Disseminated 2024 [37]
CXCR4 AMD3100 AMD3100 + siRNA PCX - GEM Cbfb-MYH11+ cells Disseminated 2020 [38]
CXCR4 CXCL12 Pt + DOX Biomimetic NPs - CDX HL-60 Disseminated 2022 [39]
CXCR4 CXCL12 DNR Biomimetic NPs - - - - 2023 [40]
CXCR4 CXCL12/AMD3100 AMD3100+DOX+PDT Biomimetic NPs - CDX HL-60-Luc Disseminated 2024 [41]
CD71 Tf c-myb ASOs Tf-polylysine - - - - 1992 [42]
CD71 Tf GTI-2040 Tf-LPPs pH - - - 2010 [43]
CD71 Tf miR-29b Tf-LPPs pH CDX MV4-11 Disseminated 2013 [44]
CD71 Tf LOR-1248 Tf-NPs - CDX MV4-11 Subcutaneous 2014 [45]
CD71 Tf DOX LPNs - - - - 2017 [46]
CD71 Tf EDS PEG-PLL-PLGA - - - - 2017 [47]
CD71/CD117 Tf/aptamer DRN and Lut Micelle - CDX HL-60 Subcutaneous 2023 [48]
CD71/CD11b Tf/C3b DOX FH - CDX MOLM-13 Disseminated 2025 [49]
CD71 HumFt Cytochrome C HumFt - - - - 2019 [50]
CD71 Ferritin miRNA-145-5p HumFt-PAMAM - - - - 2021 [51]
CD71 Ferritin ATO Ferritin - CDX Luc-HL-60 Disseminated 2021 [52]
CD71 HFn Ara-C HFn - CDX Luc-HL-60 Disseminated 2023 [53]
CD71 HFn siRNA HFn - - - - 2024 [54]
CD71 OKT9 DOX Liposome - - - - 1997 [55]
CD123 PO-6 PO-6 Micelle - CDX (SRM) AE&CKITD816V-transduced splenocytes Disseminated 2021 [56, 57]
CD123 mAb DNR Liposome - - - - 2017 [58]
CD123 mAb DNR Niosome - CDX THP-1 Disseminated 2017 [59]
CD123/CD33 mAb DNR Liposome - - - - 2019 [60]
CD123 Fab’ fragment siRNA Micelle - - - - 2017 [61]
CD123 ZW25 DNR TDT - CDX MOLM-13 Subcutaneous 2017 [62]
CD123 SS30 SS30 Hydrogel Cas9/sgRNA CDX MOLM-13 Subcutaneous 2021 [63]
CD44 HA Cur Liposome - CDX KG-1 Disseminated 2017 [64]
CD44 HA 6-MP Prodrug GSH CDX OCI-AML-2 Subcutaneous 2017 [65]
CD44 HA DOX LACHA GSH CDX AML-2 Subcutaneous 2017 [66]
CD44 HA HDC GDH - - - - 2017 [67]
CD44 HA DOX+GA LPHNs - CDX HL-60 Subcutaneous 2019 [68]
CD44 mAbs PLGA NPs - - - - 2019 [69]
CD33 scFv siRNA Liposome - - - - 2010 [70]
CD33 mAbs PMI LONp - - - - 2018 [71]
CD33 Fab’ fragment Ara-C Liposome pH CDX HL-60 Disseminated 2009 [72, 73]
CD33 scFv GTI-2040 LNPs - CDX Kasumi-1 Subcutaneous 2015 [74]
CD33 mAbs G3139 aCD33-NKSN - CDX Kasumi-1 Subcutaneous 2022 [75]
CD33 Aptamer ASO Gold NPs - - - - 2016 [76]
CD33 mAbs ASO RBCEVs - CDX MOLM13-Luc-GFP Disseminated 2022 [77]
CD33 mAbs - MoS2 - - - - 2021 [78]
CD38 Dara TRAIL Liposome - CDX OCI-AML2 Disseminated 2023 [79]
CD38 Dara Vincristine Polymersomal - CDX MOLM-13-Luc Disseminated 2023 [80]
FR FA DOX Liposomes - CDX KG-1 Ascites 2002/2007/2010 [8183]
FR FA SiRNA Albumin - CDX KG-1 Subcutaneous 2021 [84]
FR FA DNR + Eme Liposomes - - - - 2014 [85]
FR FA

PTX

TanIIA

LB-MSN - CDX NB4 Subcutaneous 2020 [86]
FLT3 FLT3L miR-150 Dendrimers - GEM MLL-AF9-transduced BM Disseminated 2016 [87]
FLT3 scFv scFv ELP - CDX MOLM-13 Disseminated 2020 [88]
FLT3/CD99 scFv scFv ELP - CDX MV4-11 Disseminated 2024 [89]
CD117 mAb DM1 ADC - - - - 2018 [90]
CD117 mAb DM1 ADC - CDX Kasumi-1 Subcutaneous 2022 [91]
CD117 Aptamer MTX Aptamer-drug conjugate - - - - 2015 [92]
CLL-1 CLL1-L1 DNR Micelle - - - - 2012 [93]
CLL-1 CLL1-L1 DNR Micelle - PDX Primary cells Disseminated 2019 [94]
CD34 mAb DOX Liposome - - - - 2004 [95]
CD99 scFv scFv ELP - CDX MOLM-13 Disseminated 2020 [96]
CD96 mAbs ICG CPSNPs - CDX 32D-p210-GFP Disseminated 2011 [97]

Abbreviations: CDX, cell-derived xenograft; SRM, secondary recipient model; GEM, genetically engineered mouse. HFn, heavy ferritin chain; ICG, indocyanine green. Others are defined in the Abbreviations section

Among the best-characterized targets, CXCR4, CD123, CD44, and CD71 have garnered significant attention due to their roles in leukemic cell survival, proliferation. CXCR4, CD123, and CD44 are involved in intracellular signaling pathways critical to AML pathogenesis. Notably, drug delivery systems directed at these receptors not only facilitate targeted payload delivery but may also confer direct antileukemic effects via receptor blockade. In contrast, CD71 (transferrin receptor 1) is primarily associated with cellular iron metabolism and proliferation. Its high expression in AML, particularly among aggressive and proliferative subtypes, renders it an attractive target for therapeutic intervention.

Various targeting ligands, including monoclonal mAbs, peptides, aptamers, and polysaccharide derivatives, have been designed to engage these receptors, with each type offering distinct advantages in terms of affinity, stability, and translational feasibility. For example, antibodies exhibit high affinity but are limited by high immunogenicity, large molecular size, and high cost. Nucleic acid aptamers are easy to synthesize but are prone to degradation in vivo. In comparison, peptides combine high affinity with ease of synthesis, while also offering low immunogenicity, controlled chemical synthesis, good batch-to-batch consistency, and facile modification. However, peptides can be vulnerable to proteolytic cleavage. The selection of an optimal ligand thus depends on a comprehensive consideration of the intended application, required pharmacokinetics, and translational practicality.

C-X-C chemokine receptor 4 (CXCR4)

CXCR4 is a G-protein coupled receptor with seven transmembrane domains that binds stromal derived factor 1α (SDF-1α or CXCL12) [98]. This receptor-ligand interaction plays a crucial role in directing LCs homing and retention in BM and spleen niches, where LCs receive survival and anti-apoptotic signals from stromal support [99, 100]. Overexpression of CXCR4 is frequently observed in AML and is associated with poor prognosis and chemotherapy resistance [101, 102]. Consequently, the CXCR4/CXCL12 axis has become an attractive therapeutic target for active-targeting nanomedicine strategies.

One of the most widely studied approaches involves the CXCR4-antagonistic peptide E5. Meng et al. synthesized E5 and fabricated micelles (M-E5) with DSPE-PEG [24]. M-E5 bound efficiently to CXCR4 at the ECL1/ECL2 and N-terminal domains, which overlap with CXCL12 binding sites. By downregulating proliferation and adhesion genes and upregulating apoptosis and differentiation genes, M-E5 blocked the CXCR4/CXCL12 axis and mobilized LCs into peripheral blood (PB). Building on this, a co-delivery micelle (M-E5-DOX) was created by loading doxorubicin (DOX) with E5 using DSPE-mPEG2000 (Fig. 2A) [25]. This co-delivery system integrates three key functions: CXCR4 targeting, CXCR4/CXCL12 axis inhibition and direct LCs elimination.

Fig. 2.

Fig. 2

CXCR4-targeted nano-drug delivery systems (NDDSs) for AML therapy. (A) E5-modified micelles co-loaded with doxorubicin (M-E5-DOX), enabling CXCR4-targeted delivery, inhibition of the CXCR4/CXCL12 axis, and direct elimination of leukemic cells [25]. (B) CXCR4-targeted, photothermal-responsive HMPB co-loaded with DNR and Ara-C, surface-modified with zwitterionic sulfobetaine (ZS) to reduce nonspecific interactions, and conjugated with E5 peptide for leukemia cell targeting [28]. (C) E5-modified liposomes (LipoAran) co-loaded with a hydrophobic Ara-C derivative, enabling CXCR4-targeted delivery and enhanced liposomal stability. (Adapted with permission from [29]. Copyright 2024 American chemical society.) (D) T22-based protein nanoconjugates incorporating human-derived scaffolds for CXCR4-targeted delivery of cytotoxic agents with enhanced in vivo stability and reduced immunogenicity [35]. (E) T22-decorated, disulfide-crosslinked polymeric micelles for CXCR4-targeted co-delivery of venetoclax and sorafenib with enhanced synergistic efficacy. (Adapted with permission from [37]. Copyright 2024 American chemical society.) (F) Cholesterol-modified polymeric CXCR4 antagonist (PCX) enables CXCR4 blockade and siRNA delivery with nuclease protection [38]. (G) Biomimetic nanoplatform (BOC@PLGA@DG@ACM/A) for AML-targeted co-delivery of DOX, GOX, and PDT agents with enhanced therapeutic efficacy. (Adapted with permission from [41]. Copyright 2024 American chemical society.)

Zhang’s group further advanced this strategy by combining E5 with nanozymes to form Fe3O4@Pt@E5 [26]. Fe3O4 and Platinum (Pt) catalyzed H2O2 into ·OH under acidic pH lysosomal conditions, inducing LCs death. They also designed a CXCR4/CD44 dual-target Prussian blue nanoparticles (PBNPs) to deliver DNR [27]. Further, a multifunctional system, HMPBs (DNR + AraC)@PEI-ZS-E5, was developed. It incorporated hollow mesoporous Prussian blue (HMPB) NPs with zwitterionic modification for stability and E5 for targeting (Fig. 2B) [28]. Despite its promising design, this system was only validated in vitro. Challenges for in vivo translation include blood dilution effects, optimization of laser power for photothermal therapy, and evaluation of whether localized bone marrow exposure can achieve sufficient therapeutic efficacy in the context of disseminated leukemia cells.

Other formulations have explored E5 as both targeting ligand and CXCR4 blocker. For example, LipoAraN-E5 was developed as a dual-function liposomal formulation that co-loads E5 and AraN, an amphiphilic Ara-C derivative generated by C14 conjugation (Fig. 2C). This design resulted in a structurally stable liposomal system [29].

Another notable ligand is T22, derived from polyphemusin II of the horseshoe crab. T22 functions both as a CXCR4 antagonist and a structural element in self-assembling nanoparticles. Compared to the existing protein drug delivery system, mostly ADCs, T22-based NPs offer superior in vivo stability, lower renal filtration, and reduced proteolysis. A Spanish group engineered T22-tagged nanoconjugates (NCs) such as T22-mRTA-H6 [30], T22-GFP-H6-MMAE [31] and T22-GFP-H6-Ara-C [32], achieving potent antitumor effects with low systemic toxicity in CXCR4-overexpressing AML cells. Further systems, including T22-DITOX-H6 [33] and T22-PE24-H6 [34], incorporated bacterial toxins but faced immunogenicity issues. To overcome this, human protein scaffolds such as Stefin A, chorionic gonadotropin, and Nidogen G2 were employed, generating NPs like T22-STM-H6-MMAE, which retained efficacy with reduced off-target effects (Fig. 2D) [35].

Beyond peptide-based designs, Ren et al. developed a dual-target nanomedicine (P@PPM) combining CXCR4 and MUC1 aptamers with CRISPR-associated protein 9 (Cas9) cargo to downregulate CXCR4 expression and induce LC death [36]. T22 was also recently incorporated into a disulfide cross-linked polymeric micelle designed to co-deliver VEN and sorafenib (SOR) (Fig. 2E) [37], achieving enhanced therapeutic effects at reduced drugs dosages by optimizing the drug ratio.

Small-molecule CXCR4 antagonists have also been repurposed. AMD3100 (Plerixafor), modified with cholesterol, yielded polymeric CXCR4 antagonist (PCX) (Fig. 2F) [38]. PCX both inhibited CXCR4 to sensitize LCs and served as a carrier for small interference RNA (siRNA), protecting it from nuclease degradation.

In addition to these synthetic systems, biomimetic strategies have also been developed for CXCR4-targeted delivery. Kong et al. constructed cell membrane-derived nanoparticles encapsulating PFOB@PLGA@Pt and DOX (PFOB@PLGA@Pt@DOX-CM) [39]. These particles converted H2O2 into reactive oxygen species (ROS), killed LCs, inhibited BM infiltration, and homed to BM niches. Another design, HMPB(DNR)@CM NPs, combined DNR-loaded Prussian blue cores with BMSC membranes, achieving CXCR4 targeting and ROS scavenging to protect the liver from DNR [40]. Recently, a multi-mechanism platform, BOC@PLGA@DG@ACM/A, integrated photodynamic therapy (PDT), chemotherapy, and biomimetic targeting (Fig. 2G). It employed AML cell membranes decorated with AMD3100, DOX, and glucose oxidase, alongside a PLGA core encapsulating CPPO, PFOB, and the photosensitizer Ce6 [41].

In summary, CXCR4-targeted NDDSs span a diverse range of delivery platforms, from polymeric micelles and protein-based self-assembling systems to gene-editing nanocarriers and biomimetic constructs. These formulations collectively offer promising strategies for disrupting LC-niche interactions and enhancing therapeutic precision in AML.

CD71

CD71, or transferrin receptor 1, is a 97-kDa type-II transmembrane glycoprotein that binds transferrin (Tf) and ferritin to mediate cellular iron uptake [103, 104]. Iron serves as an essential mental cofactor to regulate important cell process, such as cellular respiration, DNA synthesis and proliferation [105, 106]. Tumor cells, including AML cells, exhibit a heightened requirement for iron to support DNA synthesis during active proliferation [105107]. Notably, CD71 expression in AML cells surpasses that observed in other types of leukemia [108111], making it an attractive target for drug delivery. Moreover, anti-CD71 therapies have demonstrated anti-leukemia efficacy [112, 113], further supporting the feasibility of CD71 as a therapeutic target.

Tf is a key ligand for targeting CD71-high cells. In 1992, researchers used transferrin-polylysine to deliver c-myb antisense oligodeoxynucleotides (ASOs) [42]. Marcucci’s team further developed a series of Tf-based NPs for non-coding RNAs delivery. They first used Tf-modified pH-sensitive lipopolyplex nanoparticles (LPPs) to deliver GTI-2040, an ASO targeting the R2 subunit of ribonucleotide reductase (RNR), which later entered Phase I and II clinical trials (Fig. 3A) [43]. They later delivered miR-29b using transferrin-conjugated anionic LPPs [44], and utilized Tf-modified lipid nanoparticles (LNPs) to carry LOR-1248, a siRNA targeting RNR which showed strong antitumor activity [45].

Fig. 3.

Fig. 3

Nanocarriers for CD71-targeted drug delivery. (A) Tf-modified pH-sensitive lipopolyplex nanoparticles (LPPs) for targeted delivery of GTI-2040, an ASO targeting R2 subunit of RNR. (Adapted with permission from [43]. Copyright 2010 American chemical society.) (B) Feraheme (FH)-based nanoparticles with a protein corona of transferrin and C3b for dual targeting of CD71 and CD11b, enhancing DOX delivery and reducing AML burden in vitro and in vivo. (Adapted with permission from [49]. Copyright 2025 American chemical society.) (C) AfFt, a humanized archaeoglobus ferritin, enables CD71 targeting and efficient encapsulation of positively charged cargos, including cytochrome C [50]. (D) As@Fn nanoparticles, thermotolerant apoferritin loaded with ATO and iron, retain ATO in its trivalent form while exhibiting high CD71 affinity, highlighting their potential for large-scale production and clinical application [52]. (E) ferritin nanocages loaded with ara-C, demonstrating stable CD71 expression and effective delivery for leukemia treatment [53]

Other Tf-modified systems also demonstrated efficacy. Zhu et al. synthesized a novel target ligand, transferrin-polyethylene glycol-oleic acid (Tf-PEG-OA), and prepared Tf-DOX P85/LPNs which effectively killed LCs while overcoming multidrug resistance [46]. Sun et al. developed Tf-modified PEG-PLL-PLGA micelles for edelfosine (EDS) delivery, achieving significant anti-leukemia effect [47]. Zhu et al. designed a binary nanodrug, combining Tf-Lut (Tf-modified, luteolin-loaded NPs) with AP-Drn (aptamer-decorated, DNR-loaded NPs), targeting CD71 and CD117 respectively [48]. Wu et al. exploited protein corona formation on feraheme (FH) to achieve dual targeting, as the corona contained both Tf and C3b. Using FH as a DOX carrier (DOX@FH), they achieved dual targeting of CD71 and CD11b and reduced AML burden in vitro and in vivo (Fig. 3B) [49].

Ferritins are emerging as promising nanocarriers for drug delivery due to their hollow structure and targeting ability to CD71. Bonamore’s team engineered humanized Archaeglobus fulgidus (AfFt) by grafting a loop from human H-ferritin onto AfFt (humanized Archaeoglobus ferritin, HumFt), enabling efficient CD71-targeting capability. HumFt retained the ability to efficiently encapsulate positively charged cargos, such as full-length cytochrome C (Fig. 3C) [50]. To enable the loading of negatively charged nucleic acids, polyamine dendrimers were incorporated into the HumFt cavity, enabling the delivery of miRNA-145-5p [51]. Considering the hollow cage and the natural absorptivity to Fe ions of apoferritin (ferritin without an iron core), Wang et al. utilized thermotolerant apoferritin to load arsenic trioxide (ATO) and iron, forming Fe-O-As cores inside the nanocages (Fig. 3D) [52]. The resultant As@Fn nanoparticles retained ATO in its medicinal trivalent form while exhibiting high CD71 affinity. This streamlined and safe preparation procedure highlighted the potential for large-scale production and clinical application. This team also leveraged ferritin nanocages to load Ara-C, demonstrating stable CD71 expression levels during treatment (Fig. 3E) [53].

Anti-transferrin receptor (TfR) mAbs offer another approach for CD71 targeting. Suzuki’s group developed OKT9-modified chemoimmunoliposomes (OKT9-CIL) encapsulating DOX [55], which specifically bound to CD71-positive LCs and maintained high DOX levels in K562/ADM cells, which are resistant to conventional DOX treatment.

Overall, diverse CD71-targeted delivery strategies have demonstrated effective drug delivery and antitumor activity in leukemia models. Among them, ferritins stand out for their dual role as carriers and targeting ligands, positioning CD71-targeted systems as a promising platform for AML therapy.

CD123

CD123, also known as the interleukin-3 receptor alpha subunit (IL-3Rα), is a type-I cytokine receptor coded in the pseudo-autosomal region of Xp22.3 and Yp22.3 [114116]. Upon binding IL-3, CD123 heterodimerizes with the common β-subunit of the GM-CSF/IL-5/IL-3 receptor complex, activating JAK/STAT and PI3K/mTOR pathways and upregulating anti-apoptotic proteins, thereby promoting cell differentiation and proliferation [116, 117]. CD123 is expressed in 40%–93% of leukemia cell samples, with variations likely due to detection methods or patient cohorts [118121]. It is aberrantly overexpressed by CD34+CD38- AML cells but undetectable or low in their normal BM counterparts [118, 119], enabling proliferation even under low IL-3 conditions [122]. Notably, only the CD34+/CD38-/CD123+ subpopulation is capable of initiating leukemia in immunodeficient mice, establishing CD123 as a marker of leukemia stem cells (LSCs) [123]. Moreover, CD123 expression is closely associated with poor prognosis in AML [124128]. Given these features, CD123 is a compelling therapeutic target in AML.

Xu et al. successfully identified a CD123-selective binding peptide (PO-6) [56, 57], which competes with IL-3 for CD123 binding. When encapsulated in amphiphilic polymeric micelles (mPO-6, Fig. 4A), PO-6 exhibited improved solubility and cellular uptake. Beyond targeting, mPO-6 mimicked a CD123 antibody, effectively blocking the CD123/IL-3 axis, resulting a significant anti-leukemia effect and prolonged survival time in mice. Besides blocking the CD123/IL-3 axis, PO-6’s targeting capability may also serve as a ligand for future drug delivery systems.

Fig. 4.

Fig. 4

CD123-targeted nanomedicines for enhanced drug delivery and therapy. (A) The amphiphilic polymeric micelle (mPO-6) encapsulating the CD123-selective peptide PO-6 enhances cellular uptake and CD123/IL-3 axis blockade. (Adapted with permission from [57]. Copyright 2022 American chemical society.) (B) CD123-LIP, a CD123 antibody-conjugated DNR-loaded immunoliposome [58]. (C) CD.DSPE-PEG-Fab, a CD123 Fab-conjugated cyclodextrin-based NP for siRNA delivery and BRD4 silencing. (Adapted with permission from [61]. Copyright 2017 American chemical society.) (D) The CD123 aptamer-conjugated TDT enables selective targeting and high-efficiency DOX loading [62]. (E) SS30 polyaptamer hydrogel (SSFH) system releases SS30 via CRISPR/Cas9, enhancing therapeutic efficacy in AML cells [63]

As an alternative strategy, Wang et al. developed antibody-based NDDSs. They conjugated a CD123 antibody onto a DNR-loaded liposome via a PEGylated linker, generating CD123-LIP (Fig. 4B) [58], and similarly designed an anti-CD123 niosome (CD123-NS) for DNR delivery [59]. To overcome limitations of single-targeting, such as relapse from target-negative cells, they further constructed a CD123/CD33 dual-antibody-modified liposome to broaden the targeting spectrum [60]. In parallel, Gou’s team constructed another CD123 antibody-decorated NDDS by conjugating the Fab fragment onto cyclodextrins through a PEGylated linker (CD.DSPE-PEG-Fab, Fig. 4C) [61]. This system enabled efficient siRNA delivery, overcoming challenges such as rapid clearance and poor intracellular trafficking, thereby achieving effective BRD4 silencing and notable antitumor activity in vitro.

Given the sensitivity of antibodies to temperature, pH, and freeze-thaw cycles, Wu et al. applied systematic evolution of ligand exponential enrichment (SELEX) to generate high-affinity CD123 aptamers ZW25 and CY30 [62]. ZW25 was then incorporated into an aptamer-mediated targeted drug train (TDT) containing two C/G-rich probes and a pair of aptamer-linked trigger probes (Fig. 4D). This system exhibited high loading efficiency, as DOX efficiently intercalates into the C/G-rich regions at high concentration. The aptamers demonstrated selective binding to CD123, and the TDT based on them showed promising therapeutic efficiency. Furthermore, this team developed the first CD123 thioaptamer, SS30, exhibited high affinity for CD123 and compete with IL-3 at the CD123 binding cite, blocking multiple signaling pathways and inhibiting AML cells growth [129, 130]. To overcome SS30 instability in vivo, they designed a DNA hydrogel delivery platform, termed SS30 polyaptamer hydrogel (SSFH) (Fig. 4E). This hydrogel system enabled CRISPR-Cas9-mediated controlled release and enhanced therapeutic efficacy [63].

CD44

CD44 is a non-kinase transmembrane glycoprotein encoded on chromosome 11 [131, 132], and it plays a critical role in normal myelopoiesis [133]. On progenitor cells, CD44 mediates adhesion to hyaluronic acid (HA), a glycosaminoglycan component of the extracellular matrix [134136]. Blocking CD44 with mAbs has been shown to completely inhibit long-term myelopoiesis in bone marrow (BM) culture in vitro [135, 137]. Notably, CD44 is significantly overexpressed in various malignancies, including AML [138, 139]. Upon HA binding, CD44 becomes activated and recruits cytoplasmic adaptor proteins, initiating signaling pathways that support tumor cell survival [138]. Inhibition of this signaling consistently exerts anti-AML effects [140142]. Together, these findings highlight CD44 as both a promising therapeutic target and a potential mediator for active drug delivery.

HA, the natural ligand of CD44, has been widely applied in AML drug delivery. Sun et al. developed HA-modified liposomes for curcumin delivery (HA-Cur-LPs, Fig. 5A) [64], which exhibited high affinity and significant therapeutic potential. Qiu et al. designed HA-mercaptopurine prodrug (HA-GS-MP) to specifically target CD44-positive LCs [65]. HA-GS-MP was composed of HA conjugated to 6-Mercaptopurine (6-MP) via a glutathione (GSH)-responsive carbonyl vinyl sulfide linker, which enhanced the stability and water solubility of 6-MP while enabling rapid release and effective tumor inhibition (Fig. 5B). Zhong et al. developed another CD44-targeted nanocarrier by encapsulating DOX in lipoic acid-crosslinked HA (LACHA-DOX) (Fig. 5C), which demonstrated potent anti-AML effect both in vitro and in vivo [66]. Cherukula et al. developed a graphene quantum dots (GDH)-based system for histamine dihydrochloride (HDC) delivery to suppress ROS in LCs [67], where HA was conjugated to 3,4-dihydroxy-L-phenylalanine (DA) for stability, and then anchored onto HDC loaded GDH. Shao’s group designed lipid-polymer hybrid NPs for co-delivery of DOX and gallic acid (GA), using DSPE-PEG-HA to enable CD44 targeting [68].

Fig. 5.

Fig. 5

CD44- and CD33-targeted nanomedicines for AML therapy. (A) HA-Cur-LPs enable CD44-targeted curcumin delivery with therapeutic potential in AML. (Adapted with permission from [64]. Copyright 2017 American chemical society.) (B) HA-GS-MP enables GSH-responsive 6-MP release with improved solubility and AML inhibition. (Adapted with permission from [65]. Copyright 2017 American chemical society.) (C) LACHA-DOX delivers DOX via CD44 targeting, showing strong anti-AML effects in vitro and in vivo [66]. (D) Anti-CD33 fab-conjugated pH-sensitive liposomes enhance Ara-C delivery and retention in AML cells [72]. (E) CD33 antibody-conjugated RBCEVs enable targeted delivery of ASOs against FLT3-ITD and miR-125b while preserving vesicle integrity [77]. (F) Anti-CD33 MoS₂ nanoflakes for potential AML diagnosis and therapy [78]

In addition to HA-based approaches, CD44 mAbs have been employed to enhance target drug delivery. Noureldien’s team conjugated anti-CD44 mAbs to PLGA NPs encapsulating parthenolide (PTL) [69]. Their study showed that elevated NF-κB activity correlates with poor AML prognosis and that PTL, a natural NF-κB inhibitor, can be effectively delivered using this targeted approach.

CD33

CD33, or Siglecs-3, is a 67-kDa transmembrane glycoprotein selectively expressed on myeloid linage, and its activation inhibits tyrosine phosphorylation and calcium mobilization [143145]. In AML, CD33 is overexpressed in 85–90% of cases [146149], with a molecule density in BM cells approximately 3.5-fold higher than in normal counterparts [150]. High CD33 expression is associated with poor prognosis [151, 152]. Therapeutic strategies targeting CD33, including mAbs and CD33-specific immunotoxin, have shown clinical potential in AML [153155]. Notably, CD33-targeting therapies restore normal clonal hematopoiesis without impairing differentiation of CD33CD34+ myeloid progenitors [154], supporting its value as a selective drug delivery target.

The most common strategy for targeting CD33-positive leukemic cells is antibody-based drug delivery. Rothdiener et al. developed siRNA-loaded liposomes targeting the AML1/MTG8 fusion protein, with an anti-CD33 single-chain variable fragment (scFv) conjugated to the liposomal surface to enhance specificity [70]. Anti-CD33 mAbs have also been applied to construct multifunctional carriers [71]. For instance, a humanized anti-CD33 mAbs was conjugated to fluorescent lanthanide oxyfluoride nanoparticles (LONps) co-loaded with a dual MDM2/MDMX peptide inhibitor (PMI), allowing disease tracking and treatment monitoring.

Given that the efficacy of Ara-C depends on intracellular bioavailability and sustained exposure, rapid clearance of free Ara-C increases the risk of drug resistance. To address this, anti-CD33 Fab fragments were conjugated to pH-sensitive liposomes for targeted Ara-C delivery (Fig. 5D) [72, 73]. Another approach modified LNP carrying GTI-2040, an ASO targeting mRNA of R2 subunit of RNR, with anti-CD33 scFv to overcome Ara-C resistance [74].

Additional CD33-targeted gene delivery strategies have also been explored. A vector (aCD33-NKSN) was designed to deliver the BCL2 ASOs (G3139), incorporating a nuclear localization signal, fusion peptide, and stearic acid to enhance nuclear transport [75]. Considering the therapeutic potential of ASOs in AML, Zaimy et al. developed gold nanoparticles functionalized with five ASOs targeting key AML oncogenes, integrated with an anti-CD33+/CD34- aptamer for precise targeting [76]. Furthermore, red blood cell-derived extracellular vesicles (RBCEVs) were engineered to deliver ASOs against FLT3-ITD and miR-125b [77]. In this system, CD33 antibodies were attached to RBCEVs through a biotin-streptavidin interaction while preserving vesicle membrane integrity (Fig. 5E).

Beyond drug and gene delivery, CD33-targeting strategies have also been applied in diagnostics. For example, an anti-CD33 antibody was conjugated to MoS2 nanoflake using biotin-avidin interactions, demonstrating potential for AML diagnosis and therapy (Fig. 5F) [78].

These advancements highlight the versatility of CD33-targeted approaches in both therapeutic and diagnostic applications for AML.

CD38

CD38, also known as cyclic ADP ribose hydrolase, is a 45-kD type II transmembrane glycoprotein [156]. As an exoenzyme, it converts nicotinamide adenine dinucleotide (NAD) into adenosine diphosphate ribose (ADPR) and cyclic ADP ribose (cADPR), the latter acting as a key second messenger in Ca2+ signaling [157159]. It is highly expressed in hematologic malignancies, including myeloma, chronic myeloid leukemia (CML), and AML, but shows low expression in normal tissues [160]. Experimental studies indicate that CD38 activation promotes proliferative signaling, whereas anti-CD38 antibodies inhibit its enzymatic activity and suppress cell growth [156]. Daratumumab, an anti-CD38 antibodies approved by FDA for treatment of multiple myeloma (MM) [161, 162], has recently been applied in NDDS both as a therapeutic agent and as a targeting ligand for AML nanomedicines.

A research team in Ireland conjugated Daratumumab to PEG-lysed liposomes, which were functionalized with recombinant human TNF-related apoptosis-inducing ligand (TRAIL) (Fig. 6A) [79]. This approach was inspired by the finding that soluble TRAIL showed limited cytotoxicity in clinical trials, while membrane-bound TRAIL on NK cells exhibited potent antitumor activity. The NK·NPs maintained strong tumoricidal effects and avoided inactivation by tumor-derived immunosuppressive factors. The inclusion of daratumumab also enabled active CD38 targeting.

Fig. 6.

Fig. 6

Other targeted nanomedicines for leukemia cells. (A) NK·NPs co-displaying TRAIL and daratumumab mimic NK cells for CD38-targeted AML therapy with enhanced cytotoxicity [79]. (B) ATRA combined with daratumumab-decorated polymersomal vincristine (DPV) induces CD38 upregulation and improves therapeutic efficacy in CD38-low AML [80]. (C) ATRA-loaded albumin NPs enhance FR-β expression and improve targeting efficiency of FA-siRNA nanocarriers in AML [84]. (D) Anti-FLT3 scFv fused with A192 polypeptide enables stable and cost-effective FLT3-targeted delivery [88]. (E) Dual-targeting NPs co-assembled from CD99–A192 and FLT3–A192 fusion proteins enhance AML therapy via CD99 and FLT3 recognition [89]. (F) CD117-specific ssDNA aptamer-drug conjugate (apt-MTX) enables targeted methotrexate (MTX) delivery with enhanced intracellular accumulation and reduced systemic toxicity [92]. (G) CLL1-L1 peptide-functionalized telodendrimer micelles enable selective DNR delivery to CLL-1+ LSCs [93]. (H) disulfide-crosslinked CLL1-targeted micelles [94]

Given the heterogenous expressive of CD38 level in AML patients, CD38-targeted nanomedicine may face translational challenges. To overcome this limitation, researchers introduced all-trans retinoic acid (ATRA) to induce CD38 upregulation, thereby ensuring sustained molecular target. ATRA treatment significantly increased CD38 expression in AML cell lines and primary LCs, regardless of baseline levels [163, 164]. Subsequently, a daratumumab-decorated polymersomal vincristine sulfate (DPV) was developed and combined with ATRA for AML treatment in a CD38-low animal model (Fig. 6B) [80]. While DPV monotherapy produced modest benefits, the combination therapy tripled the median survival time, demonstrating the synergistic therapeutic potential of this strategy.

Folate receptor

Human folate receptors (FR) mediate folic acid (FA) internalization [165, 166]. FR-β is expressed at low level in the placenta and hematopoietic cells [167169]. Although it serves as a neutrophilic lineage marker, FR-β on granulocytes is incapable of binding FA due to post-translational modifications, whereas FR-β overexpressed on AML cells retains this ability [81, 170]. In addition to being a precursor for nucleic acid synthesis, FA acts as a cofactor in multiple metabolic reactions [167, 171, 172]. The high proliferative state of AML cells leads to FR-β overexpression to meet increased FA demand [173175], making it an attractive target for drug delivery.

ATRA can upregulate FR-β expression in AML cells. Based on this mechanism, FA-modified, DOX-loaded liposomes (f-L-DOX) were developed for AML therapy [81]. f-L-DOX enhanced FR-specific DOX uptake, which was unaffected by serum folate levels, and combination with ATRA further increased cytotoxicity. These results demonstrate the scalability and clinical potential of f-L-DOX [82, 83]. This ATRA-mediated FR-β upregulation was also utilized by Wang’s team [84]. They designed an ATRA-loaded albumin nanoparticle system co-administered with FA-modified, siRNA-encapsulating albumin nanocarriers, wherein ATRA enhanced the targeting efficiency of siRNA carriers (Fig. 6C). Similarly, FA-modified liposomes were used for co-delivery of DNR and emetine (Eme) under methotrexate (MTX) promoted FR-β expression, thereby priming selective liposomal uptake [85]. Building on this strategy, lipid-bilayer-coated mesoporous silica nanoparticles (LB-MSNs) were designed to encapsulate paclitaxel (PTX) and tanshinone IIA [86]. The lipid coating effectively prevented premature drug release and reduced hemolysis by shielding the silica surface, which would interact with tetra-alkylammonium groups on erythrocyte membranes.

FLT3

FMS-like tyrosine kinase 3(FLT3) is a critical oncogene in AML, encoding a membrane-bound class III receptor tyrosine kinase [176, 177]. The internal tandem duplication (ITD) mutation within its juxtamembrane domain leads to ligand-independent activation, which associates with poor prognosis [178180]. Although FLT3 mutations occur in approximately 30% of newly diagnosed AML cases [181, 182], aberrant FLT3 expression and activation are not restricted to FLT3-mutant AML. FLT3 overexpression has also been reported in FLT3 wild-type AML, where it undergoes phosphorylation and remains sensitive to FLT3 kinase inhibition [183, 184]. These findings suggest that FLT3 represents a relevant biological and therapeutic target, supporting the broader applicability of FLT3-targeted drug delivery strategies.

FLT3 has been widely explored for targeted drug delivery. One strategy use FLT3 ligand (FLT3L) as a targeting ligand conjugated to poly(amidoamine) (PAMAM) dendrimers [87]. These nanocarriers were loaded with miR-150, a tumor-suppressive microRNA downregulated by MLL-fusion proteins and MYC/LIN28 signaling that induces FLT3 overexpression. Restoring miR-150 expression produced strong anti-leukemic effects in vivo, and co-administration with a bromodomain inhibitor showed synergistic inhibition of FLT3-overexpressing AML.

Another targeting approach utilizes the scFv of anti-FLT3 antibodies. Park et al. fused anti-FLT3 scFv with an elastin-like polypeptide (A192), generating a stable and cost-effective nanoplatform efficiently produced in Escherichia coli (Fig. 6D) [88]. Their study also revealed that FLT3-ITD AML exhibited elevated CD99 expression. Based on this, dual-targeting nanoparticles, were developed by co-assembling CD99–A192 and FLT3–A192 fusion proteins, significantly enhancing therapeutic efficacy (Fig. 6E) [89].

CD117

CD117, also known as c-KIT, is a receptor tyrosine kinase encoded by the proto-oncogene KIT on chromosome 4q12 [185, 186]. It is expressed in a subset of hematopoietic stem cells (HSCs), where it regulates normal hematopoiesis with expression decreasing during differentiation [187189]. Upon binding to its ligand, stem cell factor (SCF), CD117 activates downstream signaling via tyrosine phosphorylation, promoting cell proliferation, differentiation, migration, and survival [189192]. CD117 represents a promising therapeutic target in AML, as it is upregulated in approximately 80% of AML patients [193, 194], correlating with poor prognosis [193, 195].

To exploit this target, an ADC was developed by linking the anti-CD117 mAbs (LMJ729) to the cytotoxic maytansinoid DM1 [90]. Researchers demonstrated that non-ligand-blocking ADCs showed significantly c-KIT degradation efficiency, particularly in the presence of SCF. This effect was consistent in both wild-type and mutant c-KIT cell lines, indicating potential therapeutic value for CD117-positive AML. However, LMJ729 was reported to induce hypersensitivity reactions via Fc receptor interactions. To address this, Kim’s team developed NN2101, a highly fucosylated and galactose-deficient mAb, which was subsequently conjugated to DM1 [91].

Considering the time, cost and complexity associated with humanized antibody production and subsequent drug conjugation, an alternative approach used a CD117-specific single-stranded DNA (ssDNA) aptamer as a drug carrier [92]. The resulting Apt-MTX conjugate achieved significantly higher intracellular drug concentrations than free MTX, enabling sub-toxic dosing while maintaining therapeutic efficacy and minimizing systemic toxicity (Fig. 6F).

CLL-1

C-type lectin-like molecule-1 (CLL-1), or C-type lectin domain family 12 member A (CLEC12A), is involved in the establishment of innate and adaptive immunity [196198]. As a type II transmembrane glycoprotein, CLL-1 is expressed on LSCs of AML and normal myeloid cells, but it is absent in normal HSCs [199, 200]. This selective expression enables the distinction between LSCs and HSCs, making CLL-1 an attractive therapeutic target for AML.

Through phage display screening, peptides containing the LR (S/T) motif were identified for specific binding to CLL-1. Among them, CLL1-L1 was selected for further modification and conjugated to the surface of telodendrimer-based micelles (Fig. 6G) [93]. These micelles encapsulated DNR for targeted delivery to LSCs. Compared to anti-CLL-1 antibodies, CLL1-L1 peptide-functionalized micelles reduced off-target toxicity and minimized damage to normal hematopoietic cells. To enhance structural stability and prevent premature drug release, disulfide crosslinking was introduced into the micellar framework (Fig. 6H), resulting in improved therapeutic efficacy against AML and LSCs in a patient-derived xenograft (PDX) model [94].

CD34

CD34, encoded on chromosome 1q, is a 45-kDa type I glycoprotein selectively expressed on hematopoietic progenitor cells [201203]. CD34+CD38- cells have been identified as LSCs or leukemia initiation cells [204, 205]. Moreover, CD34 expression correlates with poor chemotherapy response and shorter remission duration [206, 207]. To target CD34, Carrion et al. conjugated the My10 mAb onto DOX-loaded liposomes, generating CD34-specific immunoliposomes [95]. These nanocarriers selectively bound to CD34 but were not internalized by LCs, leading to localized extracellular DOX release near LCs. Notably, non-CD34-expressing cells showed a higher IC₅₀ for CD34-targeted liposomes than for free DOX, indicating enhanced selectivity and reduced systemic toxicity.

CD99

CD99 is a 32-kDa type II transmembrane glycoprotein essential for cell migration and adhesion [208, 209]. Its overexpression has been reported in myelodysplastic syndromes (MDS) and AML [210212], and it serves as a reliable marker for LSCs [213]. Targeting CD99 with mAbs has been reported to reduce leukemic burden in AML xenograft models [212, 214]. However, the complex production process and high cost of mAbs remain major obstacles. To overcome these limitations, scFvs have been explored as an alternative due to their comparable specificity and rapid production in Escherichia coli. To further enhance therapeutic efficacy, an anti-CD99 scFv was fused with elastin-like polypeptide (ELP) to form a nanoworm, which selectively targeted CD99 and exhibited a prolonged pharmacokinetic half-life [96].

CD96

CD96, also known as Tactile, is an immunoglobulin superfamily member expressed on T cells and NK cells, where it mediates cell adhesion during the late immune response [215217]. Subsequent studies identified that CD96 is selectively expressed on CD34+CD38 AML cells, suggesting its potential as a therapeutic target for eliminating LSCs [213]. A study reported that approximately 14.5% of AML patients harbored CD34+ CD38 CD96+ LSCs [97]. Based on this, researchers integrated targeted nanomedicine with PDT to overcome its inherent limitations, such as photosensitizer toxicity, poor targeting specificity, and limited photon penetration [97]. They synthesized PEGylated calcium phosphosilicate nanoparticles (CPSNPs) functionalized with sulfo-NHS, which subsequently conjugated with anti-CD96 antibodies for selective targeting.

Strategies for BM-targeted drug delivery

BM is the primary hematopoietic niche where blood cells originate and mature. However, it also functions as a protective reservoir for LCs, particularly after chemotherapy, allowing minimal residual disease (MRD) to persist. The LCs within BM microenvironment often develop drug resistance through interactions with stromal components, extracellular matrix proteins, and cytokine signaling networks, leading to disease relapse [218220]. Therefore, eliminating residual LCs in the BM is critical to improving patient outcomes.

To achieve active BM-targeted drug delivery, two primary approaches have been investigated. The first exploits the natural homing ability of HSCs to the BM. This involves functionalizing carriers with ligands that mimic the interactions between HSCs and the BM niche, or by coating NPs with HSC membranes to enhance BM accumulation. The second strategy targets the BM microenvironment itself, focusing on receptors or molecular markers that are aberrantly expressed in the BM of AML patients. By integrating these targeting strategies, BM-specific drug delivery platforms can improve therapeutic efficacy while minimizing off-target toxicity. Continued investigation of BM niche interactions and the development of innovative delivery platforms will be essential to overcoming resistance and preventing relapse. Nanocarriers designed for BM-targeted drug delivery are summarized in Table 2.

Table 2.

Nanocarriers designed for BM targeting in AML treatment

Target Targeting tool Cargo Carrier Stimuli Animal model Year Ref
Type Cell Site
HRs HSCM aPD-1 Biomimetic NPs - CDX C1498-Luc Disseminated 2018 [221]
HRs AMLCM DOX Biomimetic NPs - CDX C1498-Luc Disseminated 2020 [222]
HRs HSPCM Ara-C Biomimetic NPs - CDX(SRM) Ka539/MLL-AF9-GFP transduced BM Disseminated 2024 [223]
HRs HSCM aTIM-3 CR-TNG Hypoxia CDX Luc-HL-60 Disseminated 2024 [224]
E-selectin ESTA NPs PSP - - - - 2011 [225]
E-selectin ESTA PTL MSV - PDX Primary cells Disseminated 2016 [226]
VLA-4 LDV siRNA LNPs - PDX Primary cells Disseminated 2023 [227]
VLA-4/CXCR4 VCAM-1/CXCL12 Cas9 RNP MSCM-NFs - CDX THP-1 Disseminated 2021 [228]
HARE HA SOR Micelle PDX Primary cells Disseminated 2022 [229]
HAP ALN Ara-C Liposome GSH CDX C1498 Disseminated 2022 [230]
TRAP TBP MVC TBP-NP - CDX (SRM) MLL-AF9-transduced LSK cells Disseminated 2021 [231]

Abbreviations: HSCM, hematopoietic stem cell membrane; AMLCM, acute myeloid leukemia cell membrane; HSPCM, hematopoietic stem/progenitor cell membrane; MSV, bone marrow-targeted multistage vector; MVC, Maraviroc. Others are defined in the Abbreviations section

Homing receptors

Hematopoietic stem/progenitor cells (HSPCs) and AML cells possess an intrinsic ability to home to the BM through a multistep process involving adhesion, rolling, and nesting. This process is mediated by homing receptors (HRs) such as CXCR4, VLA-4, VLA-5, CD44, and LFA-1, as well as selectins expressed on HSPCs or AML cells [232234]. CXCL12 secreted by stromal cells recruits CXCR4-expressing cells to the BM sinusoids, where E-selectin and P-selectin on endothelial interact with glycoprotein ligands on cells to mediate rolling [235, 236]. Subsequent firm adhesion to the vessel wall is mediated by interactions such as VLA-4/LFA-1 – ICAM-1, CD44 – HA, and VLA-5 – fibronectin [237239]. Finally, under the CXCL12 gradient, activated adhesion receptors such as VLA-4 and CD44 facilitate transendothelial migration into the BM [240, 241].

By utilizing cell membranes as nanocarriers, NPs can mimic natural homing mechanisms while competitively binding adhesion molecules, thereby preventing LSCs from engaging these receptors. Hu et al. developed a biomimetic drug delivery system to transport PD-1 antibodies (aPD-1) to the BM [221]. In this system, HSC plasma membranes were covalently conjugated with aPD-1-decorated platelets through a click reaction, forming HSC-Platelet-aPD-1 (S-P-aPD-1) (Fig. 7A). S-P-aPD-1 was demonstrated enhanced BM accumulation, prolonged circulation time and reduced toxicity. Notably, it significantly improved T-cell-mediated anti-leukemia efficacy compared to the free aPD-1. However, unintended platelet activation during circulation remains a concern, as it may induce pro-inflammatory responses or systemic T-cell activation.

Fig. 7.

Fig. 7

Schematic illustrations of diverse bone marrow (BM)-targeted nanocarriers for AML. (A) HSC membrane-platelet hybrid nanoparticles functionalized with aPD-1 for BM-targeted immune checkpoint blockade [221]. (B) Liquid nitrogen-treated (LNT) AML cell-derived carriers for BM-targeted doxorubicin delivery and AML vaccination [222]. (C) HSPC membrane-coated Ara-C-loaded liposomes enabling BM homing via adhesion molecules [223]. (D) Hypoxia-responsive albumin nanogels co-delivering aCD47 and R848, guided by TIM-3 targeting and BM accumulation [224]. (E) LDV peptide-modified lipid nanoparticles targeting VLA-4 receptor for BM-selective siRNA delivery [227]. (F) MSC membrane-coated nanofibrils loaded with CXCL12α and LNP-Cas9 for LSC-targeted CRISPR-Cas9 gene editing in the BM [228]. (G) HA-EGCG/SOR self-assembled micellar nanocomplex (sora-MNC) for BM-targeted delivery and selective uptake by CD44+ leukemic cells [229]. (H) ALN-HA-SS-AraC-Lip liposomes for hydroxyapatite-targeted BM delivery, CD44-mediated leukemic cell uptake, and redox-responsive Ara-C release [230]. (I) TRAP-binding peptide (TBP)-modified PSMA-b-PS micelles enable BM-targeted delivery of CCR1/5 inhibitors via TRAP-mediated endosteal accumulation [231]

A research team utilized liquid nitrogen-treated (LNT) AML cells as carriers for DOX delivery (Fig. 7B) [222]. LNT treatment eliminated leukemogenic potential while retaining cellular structure and BM-homing properties. In addition to serving as an efficient drug carrier that prolonged survival of AML mice, LNT cells also acted as a cancer vaccine, inducing protective immunity against AML when administered with an adjuvant.

Li et al. extracted membranes from HSPCs and fused them with Ara-C-loaded liposomes to generate Ara-C@HSPC-Lipo (Fig. 7C) [223]. Their study demonstrated that adhesion molecules such as CD44 and ITGB2 on HSPC-derived membranes conferred BM-targeting capability.

In another study, a hypoxia-responsive albumin nanogel was designed to enhance the efficacy of immune checkpoint blockade agents, aCD47 and resiquimod (R848) [224]. CD47/R848@HSA-TIM-3 (CR-TNG) was constructed by self-assembling human serum albumin (HSA), aCD47, R848, and the hypoxia-sensitive cross-linker (NHS-AZO-NHS), followed by covalent coating with aTIM-3. After intravenous administration, aTIM-3 specifically recognized TIM-3 on circulating AML cells, facilitating CR-TNG attachment. Exploiting the BM-homing property of AML cells, CR-TNGs preferentially accumulated in the BM and underwent cleavage in response to the hypoxic microenvironment (Fig. 7D).

E-selectin

As noted above, E-selectin (or CD62E) is specifically expressed on BM endothelial cells at tumor cell homing sites, making its ligand a promising target for BM-directed drug deliver [237, 240]. Building on this, Mann and colleagues identified an E-selectin-specific thioaptamer ligand (ESTA), and developed ESTA-functionalized porous silicon microparticles (ESTA-PSP) to modulate the biodistribution of payloads [225]. Porous silicon enables the loading of diverse cargoes, including proteins, drugs, and even nanoparticles. ESTA-PSP exhibited high nanoparticle-loading efficiency and significantly enhanced BM accumulation while reducing hepatic and splenic sequestration in vivo. Zong et al. further designed a multistage delivery system consisting of a PTL-loaded mPEG-PLA micellar core, encapsulated within an ESTA-modified porous silicon (pSi) shell [226].

Very late antigen-4 (VLA-4)

The VLA-4 is an adhesion receptor involved in HSCs homing and cells-matrix interactions. Although nanoparticles can pass through BM sinusoids during circulation, non-targeted LNPs exhibit insufficient retention to achieve therapeutic efficacy. To address this, VLA-4 targeted nanocarriers were designed to enable selective uptake by LSCs in the BM. The tripeptide sequence Leu-Asp-Val (LDV) in fibronectin, identified as the minimal motif required for VLA-4 binding, has been utilized to direct siRNA-loaded LNPs into the BM (Fig. 7E) [227].

Additionally, BM stromal cells secrete CXCL12 to support LSC survival and inhibit their mobilization into the bloodstream [241, 242]. Ho et al. utilized this property to develop a scaffold-mediated CRISPR-Cas9 delivery system which combined nanoparticle technology with gene-editing technology [228]. In this system, Cas9/single-guide RNA ribonucleoprotein targeting IL1RAP was encapsulated within LNPs (LNP-Cas9). Nanofibrils (NFs) were coated with mesenchymal stem cell membranes (MSCMs), onto which CXCL12α was subsequently loaded to enhance LSC recruitment. LNP-Cas9 was then electrostatically assembled onto the MSCM-coated NFs, forming the final delivery construct. After injection into the BM, CXCL12α and VCAM-1 on MSCM-NFs interacted with CXCR4 and VLA-4 on LSCs, promoting internalization of the gene-editing complex (Fig. 7F).

Hyaluronan receptor for endocytosis (HARE)

The HARE, distinct from CD44 and ICAM-1, is essential in systemic HA clearance [243, 244]. Intravenous administration of HA results in preferential accumulation in the BM [245, 246], suggesting its potential for BM-targeted drug delivery. Based on this, Bae et al. conjugated HA with the anti-leukemia agent epigallocatechin-3-O-gallate (EGCG) to form HA-EGCG. The resulting conjugate self-assembled with sorafenib (SOR) into a bone marrow-targeting micellar nanocomplex (Sora-MNC) (Fig. 7G) [229]. After reaching the BM, Sora-MNC selectively targeted leukemic blasts with high CD44 expression.

Hydroxyapatite (HAP)

Beyond HR-based strategies, the bone mineral HAP represents another effective target for BM-directed drug delivery. Alendronate (ALN), with high affinity for HAP, been widely applied as BM-targeting ligand in models of osteoporosis [247, 248], osteosarcoma [249, 250], CML [251], MDS [252], MM [253] and bone metastasis originated from breast cancer [254, 255] or prostate cancer [256, 257].

In AML, Wu et al. developed a multifunctional liposomal system (ALN-HA-SS-AraC-Lip) that demonstrated significant anti-leukemic efficacy [230]. ALN-HA was synthesized and conjugated to cholesterol via a bio-reducible disulfide (-SS-) linker. This design enabled BM targeting, sequential recognition of CD44+ leukemic cells, and redox-responsive drug release within the bone microenvironment (Fig. 7H).

Tartrate-resistant acid phosphatase (TRAP)

TRAP is a protein secreted by osteoclasts and deposited at endosteal bone resorption sites, making it a promising BM target. In leukemia, C-C chemokine ligand 3 (CCL3) plays a pivotal role in disease progression, but inhibitors of its receptors (CCR1 and CCR5) have shown limited efficacy in vivo due to poor BM accumulation [231]. To address this, poly (styrene-alt-maleic anhydride)-b-poly(styrene) (PSMA-b-PS) was used as the micellar skeleton due to its passive BM accumulation. To further enhance BM targeting, a TRAP-binding peptide (TBP) was conjugated onto the nanocarrier (Fig. 7I). TBP, a 13-amino acid oligopeptide, was identified through an M13 phage display library screening using TRAP as the target bait [258]. TBP has also been utilized to facilitate nanocarriers accumulation at bone fracture sites [259, 260], further demonstrating the confirm BM targeting ability.

Conclusion and future directions

From the early 2000s, nanotechnology has gradually evolved from basic research to applied science, promoting the application of NDDS in medical field. Since traditional chemotherapy remains the primary treatment for AML, NDDSs have emerged as great potential in improving the antitumor efficacy of free drugs. The predominant advantages applied in AML include [261, 262]: (1) Targeted drug delivery. Active targeting can be achieved by surface modification with specific ligands or using the ligands as carrier. Which endowers classical chemotherapeutic drugs target ability without chemical modification, avoiding non-specific distribution. (2) Prolonged circulation time. Drugs encapsulated in nanocarriers are shielded from premature enzymatic degradation in the bloodstream, thereby improving their stability and extending their half-life. (3) Controlled drug release. The nanocarrier materials can be engineered to respond to specific stimuli such as pH [26], hypoxia [224], laser [28], and GSH [65], which differ between healthy and tumor tissues. (4) Crossing biological barriers. The small size of nanoparticles allows them to penetrate blood-bone marrow barrier (BMB) [226]. (5) Multi-drug delivery. NDDSs can be engineered to co-deliver multiple drugs, which is particularly advantageous in AML, where combination therapy is always required.

Despite significant progress, all the studies are still in the preclinical stage. Challenges hinder the clinical translation of NDDSs include: (1) Toxicity and biocompatibility concerns. Some nanocarrier materials, particularly metals (such as copper, iron), silicon-based nanoparticles (such as SiO₂), and high-molecular-weight polymers (such as polystyrene, polylactic acid), are difficult to degrade and may accumulate in organs, causing systemic toxicity. (2) Impaired targeting efficiency. Some tumor-targeting receptors are also expressed on normal tissues, leading to off-target effects. (3) Manufacturing challenges. The complex fabrication process of active-targeted NDDSs presents scalability and quality control issues. (4) Complex approval process and supervision standards. NDDS are still a relatively new field. The complex structure and mechanisms of action need more toxicological and clinical trials to assess safety and efficacy. And the uniform international evaluation standards of preparation and characterization of NPs is deficient.

While these limitations present considerable obstacles, they do not overshadow the promising outcomes achieved in preclinical AML models. In response to the clinical translational obstacles mentioned above, several strategies can be proposed:

Future NDDS design should prioritize biodegradable and biomimetic materials. Inspired by the concept of CAR-T therapy, which involves extracting a patient’s own T cells, genetically modifying them, and reinfusing them back into the patient [263, 264], a similar strategy may be envisioned using AML cells. AML cells could be isolated from patients, and their membranes harnessed to coat anti-tumor drugs or drug-loaded nanoparticles. Since AML is a highly heterogeneous disease, with genetic, phenotypic, and microenvironmental differences among patients, which contribute to variable responses to standard chemotherapy regimens. These membrane-camouflaged nanoparticles could then be reinfused into the same patient, enabling a highly personalized drug delivery approach that leverages tumor-derived homing capabilities while minimizing immune response.

In addition, off-target effect remains a major obstacle in targeted therapy, particularly in the late treatment stage when tumor burden decreases and MRD shielding in the BM becoming hard to target. Therefore, targeting BM is crucial. Few studies have focused on this aspect, most of them are biomimetic NDDSs, demonstrating their great potential once again. Future research should focus on maintaining membrane function during extraction and preparation to ensure stable BM-targeting ability and batch-to-batch consistency. Meanwhile, it is also essential to maintain consistent and high receptor expression across all disease stages. When leukemic cells express significantly higher receptor levels than normal cells, NDDSs are more likely to accumulate selectively in LCs, reducing off-target effect. As presented in this review, combining NDDS with chemotherapeutic agents that upregulate receptor expression will enhance the specificity and efficacy of targeted NDDSs. Such as MTX upregulate FR expression [85], and ATRA increases FR [81, 84] and CD38 [163, 164]. This strategy shows clinical promise in reducing off-target toxicity and overcoming limitations caused by variable receptor expression, while expanding the therapeutic potential of these drugs.

Further, LSCs represent a rare subpopulation of leukemic cells with self-renewal capacity and resistance to conventional therapies [265, 266]. They mainly reside in protective BM niches, where the microenvironment provides anti-apoptotic and quiescence-maintaining signals. This shelter enables LSCs to evade immune surveillance and survive chemotherapy, leading to relapse [218, 267]. In addition, most chemotherapeutic agents act primarily on rapidly dividing cells, quiescent LSCs can escape cytotoxic damage. Consequently, NDDSs offer a promising strategy for eliminate LSCs by selectively targeting their specific surface markers. Targeted delivery strategies against CD34, CD123, CLL1, CD96, and CD99 have shown encouraging results, with CD123-targeted NDDSs being the most extensively studied. Considering that the BM niche supports LSCs survival and can be remodeled by LSCs, dual-targeting NDDSs that combine BM-homing mechanisms with LSC-specific ligands represent an appealing strategy. Incorporating stimuli-responsive components allows these systems to release drugs precisely in response to features of the LSC niche, such as hypoxia [268] and overexpression of matrix metalloproteinases (MMPs) [269]. This approach holds promise for improving the precision and efficacy of AML treatment in the future.

Finally, for clinical translation and large-scale production, NDDS design should be simplified. Complicated synthesis and preparation processes will impair batch consistency and increase cost. And ligands should be proven efficacy, and easy to synthesis or naturally available. Future research should focus on improving targeting precision, delivery efficiency, and in vivo validation of these systems in clinically relevant AML models. In summary, NDDSs represents not only a critical future trend but also a potential breakthrough in the treatment of AML.

Acknowledgements

Not applicable.

Abbreviations

6-MP

6-Mercaptopurine

ADC

Antibody-drug conjugate

ALN

Alendronate

AML

Acute myeloid leukemia

aPD-1

PD-1 antibodies

Ara-C

Cytarabine

ASOs

Antisense oligodeoxynucleotides

ATO

Arsenic trioxide

ATRA

All-trans retinoic acid

BM

Bone marrow

CLL-1

C-type lectin-like molecule-1

Cur

Curcumin

CXCR4

C-X-C chemokine receptor 4

DNR

Daunorubicin

DOX

Doxorubicin

EDS

Edelfosine

Eme

Emetine

EPR

Enhanced permeation and retention

FA

Folic acid

FH

Feraheme

FLT3

FMS-like tyrosine kinase 3

FR

Folate receptors

GA

Gallic acid

GDH

Graphene quantum dots

GEM

Genetically engineered mouse

GSH

Glutathione

HA

Hyaluronic acid

HAP

Hydroxyapatite

HARE

Hyaluronan receptor for endocytosis

HDC

Histamine dihydrochloride

HMPB

Hollow mesoporous Prussian blue

HRs

Homing receptors

HSCs

Hematopoietic stem cells

HSPCs

Hematopoietic stem/progenitor cells

HSCT

Hematopoietic stem cell transplantation

HumF

Humanized Archaeoglobus ferritin

ICG

Indocyanine green

ITD

Internal tandem duplication

LC

Leukemia cells

LDV

Leu-Asp-Val

LNPs

Lipid nanoparticles

LONp

Lanthanide oxyfluoride nanoparticle

LPPs

Lipopolyplex nanoparticles

LSCs

Leukemia stem cells

Lut

Luteolin

mAbs

Monoclonal antibodies

MDS

Myelodysplastic syndromes

MM

Multiple myeloma

MRD

Minimal residual disease

MTX

Methotrexate

NCs

Nanoconjugates

NDDSs

Nano-drug delivery systems

NP

Nanoparticles

PB

Peripheral blood

PBNPs

Prussian blue nanoparticles

PDT

Photodynamic therapy

PDX

Patient-derived xenograft

PTX

Paclitaxel

PPNPs

Porous silicon microparticles

PSP

Porous silicon microparticles

PTL

Parthenolide

PTX

Paclitaxel

RNR

Ribonucleotide reductase

ROS

Reactive oxygen species

scFv

Single-chain variable fragment

siRNA

Small interference RNA

SOR

Sorafenib

TBP

TRAP-binding peptide

TDT

Targeted drug train

Tf

Transferrin

TRAIL

TNF-related apoptosis-inducing ligand

TRAP

Tartrate-resistant acid phosphatase

VEN

Venetoclax

VLA-4

Very late antigen-4

Author contributions

GYP and TYQ conceived the review idea. YW, DYW, ZY and YYX performed literature search and analysis. TYQ and LJX wrote the main manuscript. TYQ prepared the visualization. All authors have reviewed and approved the final version of the manuscript.

Funding

The authors acknowledge the institutional support provided by the Science and Technology Department of Sichuan Province (2023YFS0307).

Data availability

Not applicable.

Declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Döhner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, et al. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022;140(12):1345–77. [DOI] [PubMed] [Google Scholar]
  • 2.Bataller A, DiNardo CD, Bazinet A, Daver NG, Maiti A, Borthakur G, et al. Targetable genetic abnormalities in patients with acute myeloblastic leukemia across age groups. Am J Hematol. 2024;99(4):792–96. [DOI] [PubMed] [Google Scholar]
  • 3.Hoff FW, Huang Y, Welkie RL, Swords RT, Traer E, Stein EM, et al. Molecular characterization of newly diagnosed acute myeloid leukemia patients aged 60 years or older: a report from the beat AML clinical trial. Blood Cancer J. 2025;15(1):55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Matthews AH, Perl AE, Luger SM, Gill SI, Lai C, Porter DL, et al. Real-world effectiveness of intensive chemotherapy with 7+3 versus venetoclax and hypomethylating agent in acute myeloid leukemia. Am J Hematol. 2023;98(8):1254–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Röllig C, Steffen B, Schliemann C, Mikesch JH, Alakel N, Herbst R, et al. Single or Double induction with 7 + 3 containing standard or high-dose daunorubicin for newly diagnosed AML: the randomized DaunoDouble trial by the study alliance leukemia. J Clin Oncol. 2025;43(1):65–74. [DOI] [PubMed] [Google Scholar]
  • 6.Pratz KW, Cherry M, Altman JK, Cooper BW, Podoltsev NA, Cruz JC, et al. Gilteritinib in combination with induction and consolidation chemotherapy and as maintenance therapy: a phase IB study in patients with newly diagnosed AML. J Clin Oncol. 2023;41(26):4236–46. [DOI] [PubMed] [Google Scholar]
  • 7.Joudinaud R, Boudry A, Fenwarth L, Geffroy S, Salson M, Dombret H, et al. Midostaurin shapes macroclonal and microclonal evolution of FLT3-mutated acute myeloid leukemia. Blood Adv. 2025;9(2):365–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Erba HP, Montesinos P, Kim HJ, Patkowska E, Vrhovac R, Žák P, et al. Quizartinib plus chemotherapy in newly diagnosed patients with FLT3-internal-tandem-duplication-positive acute myeloid leukaemia (QuANTUM-First): a randomised, double-blind, placebo-controlled, phase 3 trial. Lancet. 2023;401(10388):1571–83. [DOI] [PubMed] [Google Scholar]
  • 9.Ivosidenib boosts OS with azacitidine in AML. Cancer Discov. 2022;12(7):1602–03. [DOI] [PubMed]
  • 10.de Botton S, Montesinos P, Schuh AC, Papayannidis C, Vyas P, Wei AH, et al. Enasidenib vs conventional care in older patients with late-stage mutant-IDH2 relapsed/refractory AML: a randomized phase 3 trial. Blood. 2023;141(2):156–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gangat N, Tefferi A. Venetoclax schedule in AML: 7 vs 14 vs 21 vs 28 days. Blood Cancer J. 2025;15(1):56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wang M, Chen S, Zhang Q, Yuan L, Wang X, Zhang J, et al. Comparison of autologous hematopoietic cell transplantation, matched sibling donor hematopoietic cell transplantation, and chemotherapy in patients with favorable- and intermediate-risk acute myeloid leukemia. Front Immunol. 2024;15:1511057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Mei D, Xue Z, Zhang T, Yang Y, Jin L, Yu Q, et al. Immune isolation-enabled nanoencapsulation of donor T cells: a promising strategy for mitigating GVHD and treating AML in preclinical models. J Immunother Cancer. 2024;12(9). [DOI] [PMC free article] [PubMed]
  • 14.Freyer CW, Porter DL. Cytokine release syndrome and neurotoxicity following CAR T-cell therapy for hematologic malignancies. J Allergy Clin Immunol. 2020;146(5):940–48. [DOI] [PubMed] [Google Scholar]
  • 15.Wang X, Zhang Y, Xue S. Recent progress in chimeric antigen receptor therapy for acute myeloid leukemia. Ann Hematol. 2024;103(6):1843–57. [DOI] [PubMed] [Google Scholar]
  • 16.Aalhate M, Mahajan S, Dhuri A, Singh PK. Biohybrid nano-platforms manifesting effective cancer therapy: fabrication, characterization, challenges and clinical perspective. Adv Colloid Interface Sci. 2025;335:103331. [DOI] [PubMed] [Google Scholar]
  • 17.Kong X, Xie X, Wu J, Wang X, Zhang W, Wang S, et al. Combating cancer immunotherapy resistance: a nano-medicine perspective. Cancer Commun (Lond). 2025. [DOI] [PMC free article] [PubMed]
  • 18.Zou L, Xian P, Pu Q, Song Y, Ni S, Chen L, et al. Nano-drug delivery strategies affecting cancer-associated fibroblasts to reduce tumor metastasis. Acta Pharm Sin B. 2025;15(4):1841–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Cortes JE, Lin TL, Asubonteng K, Faderl S, Lancet JE, Prebet T. Efficacy and safety of CPX-351 versus 7 + 3 chemotherapy by European LeukemiaNet 2017 risk subgroups in older adults with newly diagnosed, high-risk/secondary AML: post hoc analysis of a randomized, phase 3 trial. J Hematol Oncol. 2022;15(1):155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Renga G, Nunzi E, Stincardini C, Pariano M, Puccetti M, Pieraccini G, et al. CPX-351 exploits the gut microbiota to promote mucosal barrier function, colonization resistance, and immune homeostasis. Blood. 2024;143(16):1628–45. [DOI] [PubMed] [Google Scholar]
  • 21.Taurin S, Nehoff H, Greish K. Anticancer nanomedicine and tumor vascular permeability; where is the missing link? J Control Release. 2012;164(3):265–75. [DOI] [PubMed] [Google Scholar]
  • 22.Khademi R, Mohammadi Z, Khademi R, Saghazadeh A, Rezaei N. Nanotechnology-based diagnostics and therapeutics in acute lymphoblastic leukemia: a systematic review of preclinical studies. Nanoscale Adv. 2023;5(3):571–95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Lim WS, Tardi PG, Xie X, Fan M, Huang R, Ciofani T, et al. Schedule- and dose-dependency of CPX-351, a synergistic fixed ratio cytarabine: daunorubicin formulation, in consolidation treatment against human leukemia xenografts. Leuk Lymphoma. 2010;51(8):1536–42. [DOI] [PubMed] [Google Scholar]
  • 24.Meng J, Ge Y, Xing H, Wei H, Xu S, Liu J, et al. Synthetic CXCR4 Antagonistic peptide assembling with nanoscaled micelles combat acute myeloid leukemia. Small. 2020;16(31):e2001890. [DOI] [PubMed] [Google Scholar]
  • 25.Zhang M, Ge Y, Xu S, Fang X, Meng J, Yu L, et al. Nanomicelles co-loading CXCR4 antagonist and doxorubicin combat the refractory acute myeloid leukemia. Pharmacol Res. 2022;185:106503. [DOI] [PubMed] [Google Scholar]
  • 26.Kong F, Bai HY, Ma M, Wang C, Xu HY, Gu N, et al. Fe3O4@Pt nanozymes combining with CXCR4 antagonists to synergistically treat acute myeloid leukemia. Nano Today. 2021;37.
  • 27.Bai HY, Wang T, Kong F, Zhang MC, Li ZX, Zhuang LL, et al. CXCR4 and CD44 dual-targeted Prussian blue nanosystem with daunorubicin loaded for acute myeloid leukemia therapy. Chem Eng J. 2021;405.
  • 28.Bai H, Sun Q, Kong F, Dong H, Ma M, Liu F, et al. Zwitterion-functionalized hollow mesoporous Prussian blue nanoparticles for targeted and synergetic chemo-photothermal treatment of acute myeloid leukemia. J Mater Chem B. 2021;9(26):5245–54. [DOI] [PubMed] [Google Scholar]
  • 29.Wang X, Wang X, Su J, Wang D, Feng W, Wang X, et al. A dual-function LipoAraN-E5 Coloaded with N(4)-myristyloxycarbonyl-1-β-d-arabinofuranosylcytosine (AraN) and a CXCR4 antagonistic peptide (E5) for blocking the dissemination of acute myeloid leukemia. ACS Nano. 2024;18(41):27917–32. [DOI] [PubMed] [Google Scholar]
  • 30.Díaz R, Pallarès V, Cano-Garrido O, Serna N, Sánchez-García L, Falgàs A, et al. Selective CXCR4+ cancer cell targeting and potent antineoplastic effect by a nanostructured version of recombinant ricin. Small. 2018;14(26). [DOI] [PubMed]
  • 31.Pallarès V, Unzueta U, Falgàs A, Sánchez-García L, Serna N, Gallardo A, et al. An auristatin nanoconjugate targeting CXCR4+ leukemic cells blocks acute myeloid leukemia dissemination. J Hematol Oncol. 2020;13(1):36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Pallarès V, Unzueta U, Falgàs A, Aviñó A, Núñez Y, García-León A, et al. A multivalent Ara-C-prodrug nanoconjugate achieves selective ablation of leukemic cells in an acute myeloid leukemia mouse model. Biomaterials. 2022;280:121258. [DOI] [PubMed] [Google Scholar]
  • 33.Pallarès V, Núñez Y, Sánchez-García L, Falgàs A, Serna N, Unzueta U, et al. Antineoplastic effect of a diphtheria toxin-based nanoparticle targeting acute myeloid leukemia cells overexpressing CXCR4. J Control Release. 2021;335:117–29. [DOI] [PubMed] [Google Scholar]
  • 34.Núñez Y, Garcia-León A, Falgàs A, Serna N, Sánchez-García L, Garrido A, et al. T22-PE24-H6 nanotoxin selectively kills CXCR4-high expressing AML patient cells in vitro and potently blocks dissemination in vivo. Pharmaceutics. 2023;15(3). [DOI] [PMC free article] [PubMed]
  • 35.Serna N, Pallarès V, Unzueta U, Garcia-Leon A, Voltà-Durán E, Sánchez-Chardi A, et al. Engineering non-antibody human proteins as efficient scaffolds for selective, receptor-targeted drug delivery. J Control Release. 2022;343:277–87. [DOI] [PubMed] [Google Scholar]
  • 36.Ren XH, Xu C, Li LL, Zuo Y, Han D, He XY, et al. A targeting delivery system for effective genome editing in leukemia cells to reverse malignancy. J Control Release. 2022;343:645–56. [DOI] [PubMed] [Google Scholar]
  • 37.Yang J, Zhang P, Mao Y, Chen R, Cheng R, Li J, et al. CXCR4-mediated codelivery of FLT3 and BCL-2 inhibitors for enhanced targeted combination therapy of FLT3-ITD acute myeloid leukemia. Biomacromolecules. 2024;25(7):4569–80. [DOI] [PubMed] [Google Scholar]
  • 38.Wang Y, Xie Y, Williams J, Hang Y, Richter L, Becker M, et al. Use of polymeric CXCR4 inhibitors as siRNA delivery vehicles for the treatment of acute myeloid leukemia. Cancer Gene Ther. 2020;27(1–2):45–55. [DOI] [PubMed] [Google Scholar]
  • 39.Kong F, He H, Bai H, Yang F, Ma M, Gu N, et al. A biomimetic nanocomposite with enzyme-like activities and CXCR4 antagonism efficiently enhances the therapeutic efficacy of acute myeloid leukemia. Bioact Mater. 2022;18:526–38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Li QQ, Wang F, Bai HY, Cui Y, Ma M, Zhang Y. Hollow mesoporous Prussian blue nanoparticles loaded with daunorubicin for acute myeloid leukemia treatment. ACS Appl Nano Mater. 2023;6(23):22128–41. [Google Scholar]
  • 41.Zhang Y, Chen L, Fu T, Xu AB, Li KQ, Hao K, et al. Self-stimulated photodynamic nanoreactor in combination with CXCR4 antagonists for antileukemia therapy. ACS Appl Mater Interfaces. 2024;16(17):21610–22. [DOI] [PubMed] [Google Scholar]
  • 42.Citro G, Perrotti D, Cucco C, D’Agnano I, Sacchi A, Zupi G, et al. Inhibition of leukemia cell proliferation by receptor-mediated uptake of c-myb antisense oligodeoxynucleotides. Proc Natl Acad Sci USA. 1992;89(15):7031–35. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jin Y, Liu S, Yu B, Golan S, Koh CG, Yang J, et al. Targeted delivery of antisense oligodeoxynucleotide by transferrin conjugated pH-sensitive lipopolyplex nanoparticles: a novel oligonucleotide-based therapeutic strategy in acute myeloid leukemia. Mol Pharm. 2010;7(1):196–206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Huang X, Schwind S, Yu B, Santhanam R, Wang H, Hoellerbauer P, et al. Targeted delivery of microRNA-29b by transferrin-conjugated anionic lipopolyplex nanoparticles: a novel therapeutic strategy in acute myeloid leukemia. Clin Cancer Res. 2013;19(9):2355–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Yang Z, Yu B, Zhu J, Huang X, Xie J, Xu S, et al. A microfluidic method to synthesize transferrin-lipid nanoparticles loaded with siRNA LOR-1284 for therapy of acute myeloid leukemia. Nanoscale. 2014;6(16):9742–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Zhu B, Zhang H, Yu L. Novel transferrin modified and doxorubicin loaded Pluronic 85/lipid-polymeric nanoparticles for the treatment of leukemia: in vitro and in vivo therapeutic effect evaluation. Biomed Pharmacother. 2017;86:547–54. [DOI] [PubMed] [Google Scholar]
  • 47.Sun Y, Sun ZL. Transferrin-conjugated polymeric nanomedicine to enhance the anticancer efficacy of edelfosine in acute myeloid leukemia. Biomed Pharmacother. 2016;83:51–57. [DOI] [PubMed] [Google Scholar]
  • 48.Zhu Y, Zhang W, Chen J. Binary nanodrug-delivery system designed for leukemia therapy: aptamer- and transferrin-codecorated daunorubicin- and luteolin-coloaded nanoparticles. Drug Des Devel Ther. 2023;17:1–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Wu W, Li Y, Liu Q, Liu T, Zhao Y, Shao H, et al. Dual-targeted drug delivery to myeloid leukemia cells via complement- and transferrin-based protein Corona. Nano Lett. 2025;25(1):147–56. [DOI] [PubMed] [Google Scholar]
  • 50.Macone A, Masciarelli S, Palombarini F, Quaglio D, Boffi A, Trabuco MC, et al. Ferritin nanovehicle for targeted delivery of cytochrome C to cancer cells. Sci Rep. 2019;9(1):11749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Palombarini F, Masciarelli S, Incocciati A, Liccardo F, Di Fabio E, Iazzetti A, et al. Self-assembling ferritin-dendrimer nanoparticles for targeted delivery of nucleic acids to myeloid leukemia cells. J Nanobiotechnol. 2021;19(1):172. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Wang C, Zhang W, He Y, Gao Z, Liu L, Yu S, et al. Ferritin-based targeted delivery of arsenic to diverse leukaemia types confers strong anti-leukaemia therapeutic effects. Nat Nanotechnol. 2021;16(12):1413–23. [DOI] [PubMed] [Google Scholar]
  • 53.Wu X, Jiao Z, Zhang J, Li F, Li Y. Expression of TFRC helps to improve the antineoplastic effect of Ara-C on AML cells through a targeted delivery carrier. J Nanobiotechnol. 2023;21(1):126. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Rajabinejad M, Valadan R, Tehrani M, Najafi A, Negarandeh R, Saeedi M, et al. Effective delivery of anti-PD-L1 siRNA with human heavy chain ferritin (HFn) in acute myeloid leukemia cell lines. Med Oncol. 2024;41(6):149. [DOI] [PubMed] [Google Scholar]
  • 55.Suzuki S, Inoue K, Hongoh A, Hashimoto Y, Yamazoe Y. Modulation of doxorubicin resistance in a doxorubicin-resistant human leukaemia cell by an immunoliposome targeting transferring receptor. Br J Cancer. 1997;76(1):83–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Xu S, Zhang M, Fang X, Meng J, Xing H, Yan D, et al. A novel CD123-targeted therapeutic peptide loaded by micellar delivery system combats refractory acute myeloid leukemia. J Hematol Oncol. 2021;14(1):193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Xu S, Zhang M, Fang X, Hu X, Xing H, Yang Y, et al. CD123 Antagonistic peptides assembled with nanomicelles act as monotherapeutics to combat refractory acute myeloid leukemia. ACS Appl Mater Interfaces. 2022;14(34):38584–93. [DOI] [PubMed] [Google Scholar]
  • 58.Wang Y, Liu F, Wang Q, Xiang H, Jin H, Li H, et al. A novel immunoliposome mediated by CD123 antibody targeting to acute myeloid leukemia cells. Int J Pharm. 2017;529(1–2):531–42. [DOI] [PubMed] [Google Scholar]
  • 59.Liu FR, Jin H, Wang Y, Chen C, Li M, Mao SJ, et al. Anti-CD123 antibody-modified niosomes for targeted delivery of daunorubicin against acute myeloid leukemia. Drug Deliv. 2017;24(1):882–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Sun S, Zou H, Li L, Liu Q, Ding N, Zeng L, et al. CD123/CD33 dual-antibody modified liposomes effectively target acute myeloid leukemia cells and reduce antigen-negative escape. Int J Pharm. 2019;568:118518. [DOI] [PubMed] [Google Scholar]
  • 61.Guo J, Russell EG, Darcy R, Cotter TG, McKenna SL, Cahill MR, et al. Antibody-targeted cyclodextrin-based nanoparticles for siRNA delivery in the treatment of acute myeloid leukemia: physicochemical characteristics, in vitro mechanistic studies, and ex vivo patient derived therapeutic efficacy. Mol Pharm. 2017;14(3):940–52. [DOI] [PubMed] [Google Scholar]
  • 62.Wu H, Wang M, Dai B, Zhang Y, Yang Y, Li Q, et al. Novel CD123-aptamer-originated targeted drug trains for selectively delivering cytotoxic agent to tumor cells in acute myeloid leukemia theranostics. Drug Deliv. 2017;24(1):1216–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Wu H, Zhang L, Zhu Z, Ding C, Chen S, Liu R, et al. Novel CD123 polyaptamer hydrogel edited by Cas9/sgRNA for AML-targeted therapy. Drug Deliv. 2021;28(1):1166–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Sun D, Zhou JK, Zhao L, Zheng ZY, Li J, Pu W, et al. Novel curcumin liposome modified with hyaluronan targeting CD44 plays an anti-leukemic role in acute myeloid leukemia in vitro and in vivo. ACS Appl Mater Interfaces. 2017;9(20):16857–68. [DOI] [PubMed] [Google Scholar]
  • 65.Qiu J, Cheng R, Zhang J, Sun H, Deng C, Meng F, et al. Glutathione-sensitive hyaluronic acid-mercaptopurine prodrug linked via carbonyl vinyl sulfide: a robust and CD44-targeted nanomedicine for leukemia. Biomacromolecules. 2017;18(10):3207–14. [DOI] [PubMed] [Google Scholar]
  • 66.Zhong Y, Meng F, Deng C, Mao X, Zhong Z. Targeted inhibition of human hematological cancers in vivo by doxorubicin encapsulated in smart lipoic acid-crosslinked hyaluronic acid nanoparticles. Drug Deliv. 2017;24(1):1482–90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Cherukula K, Nurunnabi M, Jeong YY, Lee YK, Park IK. A targeted graphene nanoplatform carrying histamine dihydrochloride for effective inhibition of leukemia-induced immunosuppression. J Biomater Sci Polym Ed. 2018;29(7–9):734–49. [DOI] [PubMed] [Google Scholar]
  • 68.Shao Y, Luo W, Guo Q, Li X, Zhang Q, Li J. In vitro and in vivo effect of hyaluronic acid modified, doxorubicin and gallic acid co-delivered lipid-polymeric hybrid nano-system for leukemia therapy. Drug Des Devel Ther. 2019;13:2043–55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Darwish NHE, Sudha T, Godugu K, Bharali DJ, Elbaz O, El-Ghaffar HAA, et al. Novel targeted nano-parthenolide molecule against NF-kB in acute myeloid leukemia. Molecules (Basel, Switzerland). 2019;24(11). [DOI] [PMC free article] [PubMed]
  • 70.Rothdiener M, Müller D, Castro PG, Scholz A, Schwemmlein M, Fey G, et al. Targeted delivery of SiRNA to CD33-positive tumor cells with liposomal carrier systems. J Control Release. 2010;144(2):251–58. [DOI] [PubMed] [Google Scholar]
  • 71.Niu F, Yan J, Ma B, Li S, Shao Y, He P, et al. Lanthanide-doped nanoparticles conjugated with an anti-CD33 antibody and a p53-activating peptide for acute myeloid leukemia therapy. Biomaterials. 2018;167:132–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Simard P, Leroux JC. pH-sensitive immunoliposomes specific to the CD33 cell surface antigen of leukemic cells. Int J Pharm. 2009;381(2):86–96. [DOI] [PubMed] [Google Scholar]
  • 73.Simard P, Leroux JC. In vivo evaluation of pH-sensitive polymer-based immunoliposomes targeting the CD33 antigen. Mol Pharm. 2010;7(4):1098–107. [DOI] [PubMed] [Google Scholar]
  • 74.Li H, Xu S, Quan J, Yung BC, Pang J, Zhou C, et al. CD33-targeted lipid nanoparticles (aCd33lns) for therapeutic delivery of GTI-2040 to acute myelogenous leukemia. Mol Pharm. 2015;12(6):2010–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Yan C, Gu J, Zhang Y, Ma K, Lee RJ. Efficient delivery of the bcl-2 antisense oligonucleotide G3139 via nucleus-targeted aCD33-NKSN nanoparticles. Int J Pharm. 2022;625:122074. [DOI] [PubMed] [Google Scholar]
  • 76.Zaimy MA, Jebali A, Bazrafshan B, Mehrtashfar S, Shabani S, Tavakoli A, et al. Coinhibition of overexpressed genes in acute myeloid leukemia subtype M2 by gold nanoparticles functionalized with five antisense oligonucleotides and one anti-CD33(+)/CD34(+) aptamer. Cancer Gene Ther. 2016;23(9):315–20. [DOI] [PubMed] [Google Scholar]
  • 77.Chen H, Jayasinghe MK, Yeo EYM, Wu Z, Pirisinu M, Usman WM, et al. CD33-targeting extracellular vesicles deliver antisense oligonucleotides against FLT3-ITD and miR-125b for specific treatment of acute myeloid leukaemia. Cell Prolif. 2022;55(9):e13255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Štefík P, Annušová A, Lakatoš B, Elefantová K, Čepcová L, Hofbauerová M, et al. Targeting acute myeloid leukemia cells by CD33 receptor-specific MoS(2)-based nanoconjugates. Biomed Mater. 2021;16(5). [DOI] [PubMed]
  • 79.Alizadeh Zeinabad H, Yeoh WJ, Arif M, Lomora M, Banz Y, Riether C, et al. Natural killer cell-mimic nanoparticles can actively target and kill acute myeloid leukemia cells. Biomaterials. 2023;298:122126. [DOI] [PubMed] [Google Scholar]
  • 80.Yue S, An J, Zhang Y, Li J, Zhao C, Liu J, et al. Exogenous antigen upregulation empowers antibody targeted nanochemotherapy of leukemia. Adv Mater. 2023;35(32):e2209984. [DOI] [PubMed] [Google Scholar]
  • 81.Pan XQ, Zheng X, Shi G, Wang H, Ratnam M, Lee RJ. Strategy for the treatment of acute myelogenous leukemia based on folate receptor beta-targeted liposomal doxorubicin combined with receptor induction using all-trans retinoic acid. Blood. 2002;100(2):594–602. [DOI] [PubMed] [Google Scholar]
  • 82.Lu Y, Wu J, Wu J, Gonit M, Yang X, Lee A, et al. Role of formulation composition in folate receptor-targeted liposomal doxorubicin delivery to acute myelogenous leukemia cells. Mol Pharm. 2007;4(5):707–12. [DOI] [PubMed] [Google Scholar]
  • 83.Li H, Lu Y, Piao L, Wu J, Liu S, Marcucci G, et al. Targeting human clonogenic acute myelogenous leukemia cells via folate conjugated liposomes combined with receptor modulation by all-trans retinoic acid. Int J Pharm. 2010;402(1–2):57–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Wang D, Li H, Chen W, Yang H, Liu Y, You B, et al. Efficient tumor-targeting delivery of siRNA via folate-receptor mediated biomimetic albumin nanoparticles enhanced by all-trans retinoic acid. Mater Sci Eng C Mater Biol Appl. 2021;119:111583. [DOI] [PubMed] [Google Scholar]
  • 85.Myhren L, Nilssen IM, Nicolas V, Døskeland SO, Barratt G, Herfindal L. Efficacy of multi-functional liposomes containing daunorubicin and emetine for treatment of acute myeloid leukaemia. Eur J Pharm Biopharm. 2014;88(1):186–93. [DOI] [PubMed] [Google Scholar]
  • 86.Li Z, Zhang Y, Zhu C, Guo T, Xia Q, Hou X, et al. Folic acid modified lipid-bilayer coated mesoporous silica nanoparticles co-loading paclitaxel and tanshinone IIA for the treatment of acute promyelocytic leukemia. Int J Pharm. 2020;586:119576. [DOI] [PubMed] [Google Scholar]
  • 87.Jiang X, Bugno J, Hu C, Yang Y, Herold T, Qi J, et al. Eradication of acute myeloid leukemia with FLT3 ligand-targeted miR-150 nanoparticles. Cancer Res. 2016;76(15):4470–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Park M, Vaikari VP, Lam AT, Zhang Y, MacKay JA, Alachkar H. Anti-FLT3 nanoparticles for acute myeloid leukemia: preclinical pharmacology and pharmacokinetics. J Control Release. 2020;324:317–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Ali A, Phan A, Vaikari V, Park M, Pospiech M, Chu R, et al. FLT3/CD99 Bispecific antibody-based nanoparticles (BiAbs) for acute myeloid leukemia. Cancer Res Commun. 2024. [DOI] [PMC free article] [PubMed]
  • 90.Abrams T, Connor A, Fanton C, Cohen SB, Huber T, Miller K, et al. Preclinical antitumor activity of a novel anti-c-KIT antibody-drug conjugate against mutant and wild-type c-KIT-Positive solid tumors. Clin Cancer Res. 2018;24(17):4297–308. [DOI] [PubMed] [Google Scholar]
  • 91.Kim JO, Kim KH, Baek EJ, Park B, So MK, Ko BJ, et al. A novel anti-c-kit antibody-drug conjugate to treat wild-type and activating-mutant c-kit-positive tumors. Mol Oncol. 2022;16(6):1290–308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Zhao N, Pei SN, Qi J, Zeng Z, Iyer SP, Lin P, et al. Oligonucleotide aptamer-drug conjugates for targeted therapy of acute myeloid leukemia. Biomaterials. 2015;67:42–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Zhang H, Luo J, Li Y, Henderson PT, Wang Y, Wachsmann-Hogiu S, et al. Characterization of high-affinity peptides and their feasibility for use in nanotherapeutics targeting leukemia stem cells. Nanomedicine. 2012;8(7):1116–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Lin TY, Zhu Y, Li Y, Zhang H, Ma AH, Long Q, et al. Daunorubicin-containing CLL1-targeting nanomicelles have anti-leukemia stem cell activity in acute myeloid leukemia. Nanomedicine. 2019;20:102004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Carrion C, de Madariaga MA, Domingo JC. In vitro cytotoxic study of immunoliposomal doxorubicin targeted to human CD34(+) leukemic cells. Life Sci. 2004;75(3):313–28. [DOI] [PubMed] [Google Scholar]
  • 96.Vaikari VP, Park M, Keossayan L, MacKay JA, Alachkar H. Anti-CD99 scFv-ELP nanoworms for the treatment of acute myeloid leukemia. Nanomedicine. 2020;29:102236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Barth BM, IA E, Shanmugavelandy SS, Kaiser JM, Crespo-Gonzalez D, DiVittore NA, et al. Targeted indocyanine-green-loaded calcium phosphosilicate nanoparticles for in vivo photodynamic therapy of leukemia. ACS Nano. 2011;5(7):5325–37. [DOI] [PubMed] [Google Scholar]
  • 98.Kalinkovich A, Tavor S, Avigdor A, Kahn J, Brill A, Petit I, et al. Functional CXCR4-expressing microparticles and SDF-1 correlate with circulating acute myelogenous leukemia cells. Cancer Res. 2006;66(22):11013–20. [DOI] [PubMed] [Google Scholar]
  • 99.Tavor S, Petit I, Porozov S, Avigdor A, Dar A, Leider-Trejo L, et al. CXCR4 regulates migration and development of human acute myelogenous leukemia stem cells in transplanted NOD/SCID mice. Cancer Res. 2004;64(8):2817–24. [DOI] [PubMed] [Google Scholar]
  • 100.Zeng Z, Shi YX, Samudio IJ, Wang RY, Ling X, Frolova O, et al. Targeting the leukemia microenvironment by CXCR4 inhibition overcomes resistance to kinase inhibitors and chemotherapy in AML. Blood. 2009;113(24):6215–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Spoo AC, Lübbert M, Wierda WG, Burger JA. CXCR4 is a prognostic marker in acute myelogenous leukemia. Blood. 2007;109(2):786–91. [DOI] [PubMed] [Google Scholar]
  • 102.Chen Y, Jacamo R, Konopleva M, Garzon R, Croce C, Andreeff M. CXCR4 downregulation of let-7a drives chemoresistance in acute myeloid leukemia. J Clin Invest. 2013;123(6):2395–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Li L, Fang CJ, Ryan JC, Niemi EC, Lebrón JA, Björkman PJ, et al. Binding and uptake of H-ferritin are mediated by human transferrin receptor-1. Proc Natl Acad Sci USA. 2010;107(8):3505–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Gammella E, Buratti P, Cairo G, Recalcati S. The transferrin receptor: the cellular iron gate. Metallomics. 2017;9(10):1367–75. [DOI] [PubMed] [Google Scholar]
  • 105.Ponka P, Lok CN. The transferrin receptor: role in health and disease. Int J Biochem Cell Biol. 1999;31(10):1111–37. [DOI] [PubMed] [Google Scholar]
  • 106.Tortorella S, Karagiannis TC. Transferrin receptor-mediated endocytosis: a useful target for cancer therapy. J Membr Biol. 2014;247(4):291–307. [DOI] [PubMed] [Google Scholar]
  • 107.Kawabata H. Transferrin and transferrin receptors update. Free Radic Biol Med. 2019;133:46–54. [DOI] [PubMed] [Google Scholar]
  • 108.Liu Q, Wang M, Hu Y, Xing H, Chen X, Zhang Y, et al. Significance of CD71 expression by flow cytometry in diagnosis of acute leukemia. Leuk Lymphoma. 2014;55(4):892–98. [DOI] [PubMed] [Google Scholar]
  • 109.Wu B, Shi N, Sun L, Liu L. Clinical value of high expression level of CD71 in acute myeloid leukemia. Neoplasma. 2016;63(5):809–15. [DOI] [PubMed] [Google Scholar]
  • 110.Acharya S, Kala PS. Role of CD71 in acute leukemia- an immunophenotypic marker for erythroid lineage or proliferation? Indian J Pathol Microbiol. 2019;62(3):418–22. [DOI] [PubMed] [Google Scholar]
  • 111.Pande A, Dorwal P, Jain D, Tyagi N, Mehra S, Sachdev R, et al. Expression of CD71 by flow cytometry in acute leukemias: more often seen in acute myeloid leukemia. Indian J Pathol Microbiol. 2016;59(3):310–13. [DOI] [PubMed] [Google Scholar]
  • 112.Neiveyans M, Melhem R, Arnoult C, Bourquard T, Jarlier M, Busson M, et al. A recycling anti-transferrin receptor-1 monoclonal antibody as an efficient therapy for erythroleukemia through target up-regulation and antibody-dependent cytotoxic effector functions. MAbs. 2019;11(3):593–605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113.Kameda K, Yanagiya R, Miyatake Y, Carreras J, Higuchi H, Murayama H, et al. The hepatic niche leads to aggressive natural killer cell leukemia proliferation through the transferrin-transferrin receptor 1 axis. Blood. 2023;142(4):352–64. [DOI] [PubMed] [Google Scholar]
  • 114.Milatovich A, Kitamura T, Miyajima A, Francke U. Gene for the alpha-subunit of the human interleukin-3 receptor (IL3RA) localized to the X-Y pseudoautosomal region. Am J Hum Genet. 1993;53(5):1146–53. [PMC free article] [PubMed] [Google Scholar]
  • 115.Rapoport AP, DiPersio JF. Sequence analysis and functional studies of interleukin-3 receptor alpha subunit-encoding cDNAs amplified from KG-1 leukemic cells and normal human marrow. Gene. 1993;137(2):333–37. [DOI] [PubMed] [Google Scholar]
  • 116.Blalock WL, Weinstein-Oppenheimer C, Chang F, Hoyle PE, Wang XY, Algate PA, et al. Signal transduction, cell cycle regulatory, and anti-apoptotic pathways regulated by IL-3 in hematopoietic cells: possible sites for intervention with anti-neoplastic drugs. Leukemia. 1999;13(8):1109–66. [DOI] [PubMed] [Google Scholar]
  • 117.Reddy EP, Korapati A, Chaturvedi P, Rane S. IL-3 signaling and the role of Src kinases, JAKs and STATs: a covert liaison unveiled. Oncogene. 2000;19(21):2532–47. [DOI] [PubMed] [Google Scholar]
  • 118.Muñoz L, Nomdedéu JF, López O, Carnicer MJ, Bellido M, Aventín A, et al. Interleukin-3 receptor alpha chain (CD123) is widely expressed in hematologic malignancies. Haematologica. 2001;86(12):1261–69. [PubMed] [Google Scholar]
  • 119.Testa U, Riccioni R, Militi S, Coccia E, Stellacci E, Samoggia P, et al. Elevated expression of IL-3Ralpha in acute myelogenous leukemia is associated with enhanced blast proliferation, increased cellularity, and poor prognosis. Blood. 2002;100(8):2980–88. [DOI] [PubMed] [Google Scholar]
  • 120.Testa U, Pelosi E, Frankel A. CD 123 is a membrane biomarker and a therapeutic target in hematologic malignancies. Biomark Res. 2014;2(1):4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Bras AE, de Haas V, van Stigt A, Jongen-Lavrencic M, Beverloo HB, Te Marvelde JG, et al. CD123 expression levels in 846 acute leukemia patients based on standardized immunophenotyping. Cytometry B Clin Cytom. 2019;96(2):134–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Steelman LS, Algate PA, Blalock WL, Wang XY, Prevost KD, Hoyle PE, et al. Oncogenic effects of overexpression of the interleukin-3 receptor on hematopoietic cells. Leukemia. 1996;10(3):528–42. [PubMed] [Google Scholar]
  • 123.Du W, Li XE, Sipple J, Pang Q. Overexpression of IL-3Rα on CD34+CD38- stem cells defines leukemia-initiating cells in fanconi anemia AML. Blood. 2011;117(16):4243–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Vergez F, Green AS, Tamburini J, Sarry JE, Gaillard B, Cornillet-Lefebvre P, et al. High levels of CD34+CD38low/-CD123+ blasts are predictive of an adverse outcome in acute myeloid leukemia: a Groupe Ouest-Est des Leucemies Aigues et Maladies du Sang (GOELAMS) study. Haematologica. 2011;96(12):1792–98. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Liu K, Zhu M, Huang Y, Wei S, Xie J, Xiao Y. CD123 and its potential clinical application in leukemias. Life Sci. 2015;122:59–64. [DOI] [PubMed] [Google Scholar]
  • 126.Arai N, Homma M, Abe M, Baba Y, Murai S, Watanuki M, et al. Impact of CD123 expression, analyzed by immunohistochemistry, on clinical outcomes in patients with acute myeloid leukemia. Int J Hematol. 2019;109(5):539–44. [DOI] [PubMed] [Google Scholar]
  • 127.El Achi H, Dupont E, Paul S, Khoury JD. CD123 as a biomarker in hematolymphoid malignancies: principles of detection and targeted therapies. Cancers (Basel). 2020;12(11). [DOI] [PMC free article] [PubMed]
  • 128.O’Rourke K. CD123 expression linked to high-risk disease in children with acute myeloid leukemia. Cancer. 2022;128(7):1357–58. [DOI] [PubMed] [Google Scholar]
  • 129.Hu J, Tang Z, Xu J, Ge W, Hu Q, He F, et al. The inhibitor of interleukin-3 receptor protects against sepsis in a rat model of cecal ligation and puncture. Mol Immunol. 2019;109:71–80. [DOI] [PubMed] [Google Scholar]
  • 130.Zhao J, Wang M, Yang Y, Wang G, Che F, Li Q, et al. CD123 thioaptamer protects against sepsis via the blockade between IL-3/CD123 in a cecal ligation and puncture rat model. Nucleosides Nucleotides Nucleic Acids. 2021;40(1):16–31. [DOI] [PubMed] [Google Scholar]
  • 131.Lesley J, Hyman R, Kincade PW. CD44 and its interaction with extracellular matrix. Adv Immunol. 1993;54:271–335. [DOI] [PubMed] [Google Scholar]
  • 132.Naor D, Sionov RV, Ish-Shalom D. CD44: structure, function, and association with the malignant process. Adv Cancer Res. 1997;71:241–319. [DOI] [PubMed] [Google Scholar]
  • 133.Khaldoyanidi S, Moll J, Karakhanova S, Herrlich P, Ponta H. Hyaluronate-enhanced hematopoiesis: two different receptors trigger the release of interleukin-1beta and interleukin-6 from bone marrow macrophages. Blood. 1999;94(3):940–49. [PubMed] [Google Scholar]
  • 134.Morimoto K, Robin E, Le Bousse-Kerdiles MC, Li Y, Clay D, Jasmin C, et al. CD44 mediates hyaluronan binding by human myeloid KG1A and KG1 cells. Blood. 1994;83(3):657–62. [PubMed] [Google Scholar]
  • 135.Smadja-Joffe F, Legras S, Girard N, Li Y, Delpech B, Bloget F, et al. CD44 and hyaluronan binding by human myeloid cells. Leuk Lymphoma. 1996;21(5–6):407–20, color plates following 528. [DOI] [PubMed] [Google Scholar]
  • 136.Legras S, Levesque JP, Charrad R, Morimoto K, Le Bousse C, Clay D, et al. CD44-mediated adhesiveness of human hematopoietic progenitors to hyaluronan is modulated by cytokines. Blood. 1997;89(6):1905–14. [PubMed] [Google Scholar]
  • 137.Ayroldi E, Cannarile L, Migliorati G, Bartoli A, Nicoletti I, Riccardi C. CD44 (Pgp-1) inhibits CD3 and dexamethasone-induced apoptosis. Blood. 1995;86(7):2672–78. [PubMed] [Google Scholar]
  • 138.Naor D, Nedvetzki S, Golan I, Melnik L, Faitelson Y. CD44 in cancer. Crit Rev Clin Lab Sci. 2002;39(6):527–79. [DOI] [PubMed] [Google Scholar]
  • 139.Bendall LJ, Bradstock KF, Gottlieb DJ. Expression of CD44 variant exons in acute myeloid leukemia is more common and more complex than that observed in normal blood, bone marrow or CD34+ cells. Leukemia. 2000;14(7):1239–46. [DOI] [PubMed] [Google Scholar]
  • 140.Allouche M, Charrad RS, Bettaieb A, Greenland C, Grignon C, Smadja-Joffe F. Ligation of the CD44 adhesion molecule inhibits drug-induced apoptosis in human myeloid leukemia cells. Blood. 2000;96(3):1187–90. [PubMed] [Google Scholar]
  • 141.Charrad RS, Gadhoum Z, Qi J, Glachant A, Allouche M, Jasmin C, et al. Effects of anti-CD44 monoclonal antibodies on differentiation and apoptosis of human myeloid leukemia cell lines. Blood. 2002;99(1):290–99. [DOI] [PubMed] [Google Scholar]
  • 142.Song G, Liao X, Zhou L, Wu L, Feng Y, Han ZC. HI44a, an anti-CD44 monoclonal antibody, induces differentiation and apoptosis of human acute myeloid leukemia cells. Leuk Res. 2004;28(10):1089–96. [DOI] [PubMed] [Google Scholar]
  • 143.Orr SJ, Morgan NM, Elliott J, Burrows JF, Scott CJ, McVicar DW, et al. CD33 responses are blocked by SOCS3 through accelerated proteasomal-mediated turnover. Blood. 2007;109(3):1061–68. [DOI] [PubMed] [Google Scholar]
  • 144.Ulyanova T, Blasioli J, Woodford-Thomas TA, Thomas ML. The sialoadhesin CD33 is a myeloid-specific inhibitory receptor. Eur J Immunol. 1999;29(11):3440–49. [DOI] [PubMed] [Google Scholar]
  • 145.Kraguljac N, Marisavljevic D, Jankovic G, Radosevic N, Pantic M, Donfrid M, et al. Characterization of CD13 and CD33 surface antigen-negative acute myeloid leukemia. Am J Clin Pathol. 2000;114(1):29–34. [DOI] [PubMed] [Google Scholar]
  • 146.Legrand O, Perrot JY, Baudard M, Cordier A, Lautier R, Simonin G, et al. The immunophenotype of 177 adults with acute myeloid leukemia: proposal of a prognostic score. Blood. 2000;96(3):870–77. [PubMed] [Google Scholar]
  • 147.Jilani I, Estey E, Huh Y, Joe Y, Manshouri T, Yared M, et al. Differences in CD33 intensity between various myeloid neoplasms. Am J Clin Pathol. 2002;118(4):560–66. [DOI] [PubMed] [Google Scholar]
  • 148.De Propris MS, Raponi S, Diverio D, Milani ML, Meloni G, Falini B, et al. High CD33 expression levels in acute myeloid leukemia cells carrying the nucleophosmin (NPM1) mutation. Haematologica. 2011;96(10):1548–51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Clark MC, Stein A. CD33 directed bispecific antibodies in acute myeloid leukemia. Best Pract Res Clin Haematol. 2020;33(4):101224. [DOI] [PubMed] [Google Scholar]
  • 150.Linenberger ML. CD33-directed therapy with gemtuzumab ozogamicin in acute myeloid leukemia: progress in understanding cytotoxicity and potential mechanisms of drug resistance. Leukemia. 2005;19(2):176–82. [DOI] [PubMed] [Google Scholar]
  • 151.Pollard JA, Alonzo TA, Loken M, Gerbing RB, Ho PA, Bernstein ID, et al. Correlation of CD33 expression level with disease characteristics and response to gemtuzumab ozogamicin containing chemotherapy in childhood AML. Blood. 2012;119(16):3705–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 152.Liu J, Tong J, Yang H. Targeting CD33 for acute myeloid leukemia therapy. BMC Cancer. 2022;22(1):24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Candoni A, Papayannidis C, Martinelli G, Simeone E, Gottardi M, Iacobucci I, et al. Flai (fludarabine, cytarabine, idarubicin) plus low-dose Gemtuzumab Ozogamicin as induction therapy in CD33-positive AML: final results and long term outcome of a phase II multicenter clinical trial. Am J Hematol. 2018;93(5):655–63. [DOI] [PubMed] [Google Scholar]
  • 154.Yu B, Liu D. Gemtuzumab ozogamicin and novel antibody-drug conjugates in clinical trials for acute myeloid leukemia. Biomark Res. 2019;7:24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 155.Schwemmlein M, Peipp M, Barbin K, Saul D, Stockmeyer B, Repp R, et al. A CD33-specific single-chain immunotoxin mediates potent apoptosis of cultured human myeloid leukaemia cells. Br J Haematol. 2006;133(2):141–51. [DOI] [PubMed] [Google Scholar]
  • 156.Mehta K, Shahid U, Malavasi F. Human CD38, a cell-surface protein with multiple functions. Faseb J. 1996;10(12):1408–17. [DOI] [PubMed] [Google Scholar]
  • 157.Malavasi F, Deaglio S, Funaro A, Ferrero E, Horenstein AL, Ortolan E, et al. Evolution and function of the ADP ribosyl cyclase/CD38 gene family in physiology and pathology. Physiol Rev. 2008;88(3):841–86. [DOI] [PubMed] [Google Scholar]
  • 158.Chini EN. CD38 as a regulator of cellular NAD: a novel potential pharmacological target for metabolic conditions. Curr Pharm Des. 2009;15(1):57–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Hogan KA, Chini CCS, Chini EN. The multi-faceted ecto-enzyme CD38: roles in Immunomodulation, cancer, aging, and metabolic diseases. Front Immunol. 2019;10:1187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 160.Konopleva M, Rissling I, Andreeff M. CD38 in hematopoietic malignancies. Chem Immunol. 2000;75:189–206. [DOI] [PubMed] [Google Scholar]
  • 161.Lokhorst HM, Plesner T, Laubach JP, Nahi H, Gimsing P, Hansson M, et al. Targeting CD38 with daratumumab monotherapy in multiple myeloma. N Engl J Med. 2015;373(13):1207–19. [DOI] [PubMed] [Google Scholar]
  • 162.Sanchez L, Wang Y, Siegel DS, Wang ML. Daratumumab: a first-in-class CD38 monoclonal antibody for the treatment of multiple myeloma. J Hematol Oncol. 2016;9(1):51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Drach J, Zhao S, Malavasi F, Mehta K. Rapid induction of CD38 antigen on myeloid leukemia cells by all trans-retinoic acid. Biochem Biophys Res Commun. 1993;195(2):545–50. [DOI] [PubMed] [Google Scholar]
  • 164.Mehta K, McQueen T, Manshouri T, Andreeff M, Collins S, Albitar M. Involvement of retinoic acid receptor-alpha-mediated signaling pathway in induction of CD38 cell-surface antigen. Blood. 1997;89(10):3607–14. [PubMed] [Google Scholar]
  • 165.Sadasivan E, Rothenberg SP, da Costa M, Brink L. Characterization of multiple forms of folate-binding protein from human leukemia cells. Biochim Biophys Acta. 1986;882(3):311–21. [DOI] [PubMed] [Google Scholar]
  • 166.Sadasivan E, da Costa M, Rothenberg SP, Brink L. Purification, properties, and immunological characterization of folate-binding proteins from human leukemia cells. Biochim Biophys Acta. 1987;925(1):36–47. [DOI] [PubMed] [Google Scholar]
  • 167.Jaime-Ramirez AC, McMichael E, Kondadasula S, Skinner CC, Mundy-Bosse BL, Luedke E, et al. NK cell-mediated antitumor effects of a folate-conjugated immunoglobulin are enhanced by cytokines. Cancer Immunol Res. 2016;4(4):323–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Shen F, Ross JF, Wang X, Ratnam M. Identification of a novel folate receptor, a truncated receptor, and receptor type beta in hematopoietic cells: cDNA cloning, expression, immunoreactivity, and tissue specificity. Biochemistry. 1994;33(5):1209–15. [DOI] [PubMed] [Google Scholar]
  • 169.Lu Y, Low PS. Folate-mediated delivery of macromolecular anticancer therapeutic agents. Adv Drug Deliv Rev. 2002;54(5):675–93. [DOI] [PubMed] [Google Scholar]
  • 170.Ross JF, Wang H, Behm FG, Mathew P, Wu M, Booth R, et al. Folate receptor type beta is a neutrophilic lineage marker and is differentially expressed in myeloid leukemia. Cancer. 1999;85(2):348–57. [DOI] [PubMed] [Google Scholar]
  • 171.Weinstein SJ, Hartman TJ, Stolzenberg-Solomon R, Pietinen P, Barrett MJ, Taylor PR, et al. Null association between prostate cancer and serum folate, vitamin B(6), vitamin B(12), and homocysteine. Cancer Epidemiol Biomarker Prev. 2003;12(11 Pt 1):1271–72. [PubMed] [Google Scholar]
  • 172.Kamen BA, Smith AK. A review of folate receptor alpha cycling and 5-methyltetrahydrofolate accumulation with an emphasis on cell models in vitro. Adv Drug Deliv Rev. 2004;56(8):1085–97. [DOI] [PubMed] [Google Scholar]
  • 173.Parker N, Turk MJ, Westrick E, Lewis JD, Low PS, Leamon CP. Folate receptor expression in carcinomas and normal tissues determined by a quantitative radioligand binding assay. Anal Biochem. 2005;338(2):284–93. [DOI] [PubMed] [Google Scholar]
  • 174.Low PS, Henne WA, Doorneweerd DD. Discovery and development of folic-acid-based receptor targeting for imaging and therapy of cancer and inflammatory diseases. Acc Chem Res. 2008;41(1):120–29. [DOI] [PubMed] [Google Scholar]
  • 175.Low PS, Kularatne SA. Folate-targeted therapeutic and imaging agents for cancer. Curr Opin Chem Biol. 2009;13(3):256–62. [DOI] [PubMed] [Google Scholar]
  • 176.Meshinchi S, Alonzo TA, Stirewalt DL, Zwaan M, Zimmerman M, Reinhardt D, et al. Clinical implications of FLT3 mutations in pediatric AML. Blood. 2006;108(12):3654–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 177.Zorko NA, Bernot KM, Whitman SP, Siebenaler RF, Ahmed EH, Marcucci GG, et al. Mll partial tandem duplication and Flt3 internal tandem duplication in a double knock-in mouse recapitulates features of counterpart human acute myeloid leukemias. Blood. 2012;120(5):1130–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 178.Takahashi S. Identification of Flt3 internal tandem duplications downstream targets by high-throughput immunoblotting protein array system. Am J Hematol. 2006;81(9):717–19. [DOI] [PubMed] [Google Scholar]
  • 179.Lee SH, Paietta E, Racevskis J, Wiernik PH. Complete resolution of leukemia cutis with sorafenib in an acute myeloid leukemia patient with FLT3-ITD mutation. Am J Hematol. 2009;84(10):701–02. [DOI] [PubMed] [Google Scholar]
  • 180.Tao S, Wang C, Chen Y, Deng Y, Song L, Shi Y, et al. Prognosis and outcome of patients with acute myeloid leukemia based on FLT3-ITD mutation with or without additional abnormal cytogenetics. Oncol Lett. 2019;18(6):6766–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Kiyoi H, Naoe T, Nakano Y, Yokota S, Minami S, Miyawaki S, et al. Prognostic implication of FLT3 and N-RAS gene mutations in acute myeloid leukemia. Blood. 1999;93(9):3074–80. [PubMed] [Google Scholar]
  • 182.Choi EJ, Lee JH, Lee JH, Park HS, Ko SH, Hur EH, et al. Comparison of anthracyclines used for induction chemotherapy in patients with FLT3-ITD-mutated acute myeloid leukemia. Leuk Res. 2018;68:51–56. [DOI] [PubMed] [Google Scholar]
  • 183.Ozeki K, Kiyoi H, Hirose Y, Iwai M, Ninomiya M, Kodera Y, et al. Biologic and clinical significance of the FLT3 transcript level in acute myeloid leukemia. Blood. 2004;103(5):1901–08. [DOI] [PubMed] [Google Scholar]
  • 184.Tsapogas P, Mooney CJ, Brown G, Rolink A. The cytokine Flt3-ligand in normal and malignant hematopoiesis. Int J Mol Sci. 2017;18(6). [DOI] [PMC free article] [PubMed]
  • 185.Lennartsson J, Rönnstrand L. Stem cell factor receptor/c-Kit: from basic science to clinical implications. Physiol Rev. 2012;92(4):1619–49. [DOI] [PubMed] [Google Scholar]
  • 186.Pollard JA, Alonzo TA, Gerbing RB, Ho PA, Zeng R, Ravindranath Y, et al. Prevalence and prognostic significance of KIT mutations in pediatric patients with core binding factor AML enrolled on serial pediatric cooperative trials for de novo AML. Blood. 2010;115(12):2372–79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 187.Bühring HJ, Ullrich A, Schaudt K, Müller CA, Busch FW. The product of the proto-oncogene c-kit (P145c-kit) is a human bone marrow surface antigen of hemopoietic precursor cells which is expressed on a subset of acute non-lymphoblastic leukemic cells. Leukemia. 1991;5(10):854–60. [PubMed] [Google Scholar]
  • 188.Yamaguchi Y, Gunji Y, Nakamura M, Hayakawa K, Maeda M, Osawa H, et al. Expression of c-kit mRNA and protein during the differentiation of human hematopoietic progenitor cells. Exp Hematol. 1993;21(9):1233–38. [PubMed] [Google Scholar]
  • 189.Russkamp NF, Myburgh R, Kiefer JD, Neri D, Manz MG. Anti-CD117 immunotherapy to eliminate hematopoietic and leukemia stem cells. Exp Hematol. 2021;95:31–45. [DOI] [PubMed] [Google Scholar]
  • 190.Broudy VC. Stem cell factor and hematopoiesis. Blood. 1997;90(4):1345–64. [PubMed] [Google Scholar]
  • 191.Yasuda A, Sawai H, Takahashi H, Ochi N, Matsuo Y, Funahashi H, et al. Stem cell factor/c-kit receptor signaling enhances the proliferation and invasion of colorectal cancer cells through the PI3K/Akt pathway. Dig Dis Sci. 2007;52(9):2292–300. [DOI] [PubMed] [Google Scholar]
  • 192.Yasuda A, Sawai H, Takahashi H, Ochi N, Matsuo Y, Funahashi H, et al. The stem cell factor/c-kit receptor pathway enhances proliferation and invasion of pancreatic cancer cells. Mol Cancer. 2006;5:46. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 193.Ikeda H, Kanakura Y, Tamaki T, Kuriu A, Kitayama H, Ishikawa J, et al. Expression and functional role of the proto-oncogene c-kit in acute myeloblastic leukemia cells. Blood. 1991;78(11):2962–68. [PubMed] [Google Scholar]
  • 194.Wells SJ, Bray RA, Stempora LL, Farhi DC. CD117/CD34 expression in leukemic blasts. Am J Clin Pathol. 1996;106(2):192–95. [DOI] [PubMed] [Google Scholar]
  • 195.Gao X, Lin J, Gao L, Deng A, Lu X, Li Y, et al. High expression of c-kit mRNA predicts unfavorable outcome in adult patients with t(8;21) acute myeloid leukemia. PLoS ONE. 2015;10(4):e0124241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 196.Marshall AS, Willment JA, Lin HH, Williams DL, Gordon S, Brown GD. Identification and characterization of a novel human myeloid inhibitory C-type lectin-like receptor (MICL) that is predominantly expressed on granulocytes and monocytes. J Biol Chem. 2004;279(15):14792–802. [DOI] [PubMed] [Google Scholar]
  • 197.Neumann K, Castiñeiras-Vilariño M, Höckendorf U, Hannesschläger N, Lemeer S, Kupka D, et al. Clec12a is an inhibitory receptor for uric acid crystals that regulates inflammation in response to cell death. Immunity. 2014;40(3):389–99. [DOI] [PubMed] [Google Scholar]
  • 198.Chiffoleau E. C-Type lectin-like receptors as emerging orchestrators of sterile inflammation represent potential therapeutic targets. Front Immunol. 2018;9:227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 199.van Rhenen A, van Dongen GA, Kelder A, Rombouts EJ, Feller N, Moshaver B, et al. The novel AML stem cell associated antigen CLL-1 aids in discrimination between normal and leukemic stem cells. Blood. 2007;110(7):2659–66. [DOI] [PubMed] [Google Scholar]
  • 200.Larsen H, Roug AS, Just T, Brown GD, Hokland P. Expression of the hMICL in acute myeloid leukemia-a highly reliable disease marker at diagnosis and during follow-up. Cytometry B Clin Cytom. 2012;82(1):3–8. [DOI] [PubMed] [Google Scholar]
  • 201.Sutherland DR, Watt SM, Dowden G, Karhi K, Baker MA, Greaves MF, et al. Structural and partial amino acid sequence analysis of the human hemopoietic progenitor cell antigen CD34. Leukemia. 1988;2(12):793–803. [PubMed] [Google Scholar]
  • 202.Fina L, Molgaard HV, Robertson D, Bradley NJ, Monaghan P, Delia D, et al. Expression of the CD34 gene in vascular endothelial cells. Blood. 1990;75(12):2417–26. [PubMed] [Google Scholar]
  • 203.Silvestri F, Banavali S, Baccarani M, Preisler HD. The CD34 hemopoietic progenitor cell associated antigen: biology and clinical applications. Haematologica. 1992;77(3):265–73. [PubMed] [Google Scholar]
  • 204.Lapidot T, Sirard C, Vormoor J, Murdoch B, Hoang T, Caceres-Cortes J, et al. A cell initiating human acute myeloid leukaemia after transplantation into SCID mice. Nature. 1994;367(6464):645–48. [DOI] [PubMed] [Google Scholar]
  • 205.Rombouts WJ, Martens AC, Ploemacher RE. Identification of variables determining the engraftment potential of human acute myeloid leukemia in the immunodeficient NOD/SCID human chimera model. Leukemia. 2000;14(5):889–97. [DOI] [PubMed] [Google Scholar]
  • 206.Costello R, Mallet F, Chambost H, Sainty D, Arnoulet C, Gastaut JA, et al. The immunophenotype of minimally differentiated acute myeloid leukemia (AML-M0): reduced immunogenicity and high frequency of CD34+/CD38- leukemic progenitors. Leukemia. 1999;13(10):1513–18. [DOI] [PubMed] [Google Scholar]
  • 207.Dick JE. Acute myeloid leukemia stem cells. Ann N Y Acad Sci. 2005;1044:1–5. [DOI] [PubMed] [Google Scholar]
  • 208.Kang LC, Dunphy CH. Immunoreactivity of MIC2 (CD99) and terminal deoxynucleotidyl transferase in bone marrow clot and core specimens of acute myeloid leukemias and myelodysplastic syndromes. Arch Pathol Lab Med. 2006;130(2):153–57. [DOI] [PubMed] [Google Scholar]
  • 209.Hahn JH, Kim MK, Choi EY, Kim SH, Sohn HW, Ham DI, et al. CD99 (MIC2) regulates the LFA-1/ICAM-1-mediated adhesion of lymphocytes, and its gene encodes both positive and negative regulators of cellular adhesion. J Immunol. 1997;159(5):2250–58. [PubMed] [Google Scholar]
  • 210.Chung SS, Eng WS, Hu W, Khalaj M, Garrett-Bakelman FE, Tavakkoli M, et al. CD99 is a therapeutic target on disease stem cells in myeloid malignancies. Sci Transl Med. 2017;9(374). [DOI] [PMC free article] [PubMed]
  • 211.Manara MC, Pasello M, Scotlandi K. CD99: a cell surface protein with an oncojanus role in tumors. Genes (Basel). 2018;9(3). [DOI] [PMC free article] [PubMed]
  • 212.Travaglini S, Ottone T, Angelini DF, Fiori V, Dominici S, Noguera NI, et al. CD99 as a novel therapeutic target on leukemic progenitor cells in FLT3-ITD(mut) AML. Leukemia. 2022;36(6):1685–88. [DOI] [PubMed] [Google Scholar]
  • 213.Hosen N, Park CY, Tatsumi N, Oji Y, Sugiyama H, Gramatzki M, et al. CD96 is a leukemic stem cell-specific marker in human acute myeloid leukemia. Proc Natl Acad Sci USA. 2007;104(26):11008–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 214.Tavakkoli M, Chung SS, Park CY. Do preclinical studies suggest that CD99 is a potential therapeutic target in acute myeloid leukemia and the myelodysplastic syndromes? Expert Opin Ther Targets. 2018;22(5):381–83. [DOI] [PubMed] [Google Scholar]
  • 215.Wang PL, O’Farrell S, Clayberger C, Krensky AM. Identification and molecular cloning of tactile. A novel human T cell activation antigen that is a member of the Ig gene superfamily. J Immunol. 1992;148(8):2600–08. [PubMed] [Google Scholar]
  • 216.Stanko K, Iwert C, Appelt C, Vogt K, Schumann J, Strunk FJ, et al. CD96 expression determines the inflammatory potential of IL-9-producing Th9 cells. Proc Natl Acad Sci USA. 2018;115(13):E2940–e9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 217.Li J, Xia Q, Di C, Li C, Si H, Zhou B, et al. Tumor cell-intrinsic CD96 mediates chemoresistance and cancer stemness by regulating mitochondrial fatty acid β-oxidation. Adv Sci (Weinh). 2023;10(7):e2202956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 218.Meads MB, Hazlehurst LA, Dalton WS. The bone marrow microenvironment as a tumor sanctuary and contributor to drug resistance. Clin Cancer Res. 2008;14(9):2519–26. [DOI] [PubMed] [Google Scholar]
  • 219.Bernasconi P, Farina M, Boni M, Dambruoso I, Calvello C. Therapeutically targeting SELF-reinforcing leukemic niches in acute myeloid leukemia: a worthy endeavor? Am J Hematol. 2016;91(5):507–17. [DOI] [PubMed] [Google Scholar]
  • 220.Ho TC, LaMere M, Stevens BM, Ashton JM, Myers JR, O’Dwyer KM, et al. Evolution of acute myelogenous leukemia stem cell properties after treatment and progression. Blood. 2016;128(13):1671–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 221.Hu Q, Sun W, Wang J, Ruan H, Zhang X, Ye Y, et al. Conjugation of haematopoietic stem cells and platelets decorated with anti-PD-1 antibodies augments anti-leukaemia efficacy. Nat Biomed Eng. 2018;2(11):831–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 222.Ci T, Li H, Chen G, Wang Z, Wang J, Abdou P, et al. Cryo-shocked cancer cells for targeted drug delivery and vaccination. Sci Adv. 2020;6(50). [DOI] [PMC free article] [PubMed]
  • 223.Li J, Wu H, Yu Z, Wang Q, Zeng X, Qian W, et al. Hematopoietic stem and progenitor cell membrane-coated vesicles for bone marrow-targeted leukaemia drug delivery. Nat Commun. 2024;15(1):5689. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 224.Chen HT, Wang DY, Yao YY, Xiao YF, Zhao ZZ, Zhang ZQ, et al. Leukemia cell hitchhiking hypoxia responsive nanogel for improved immunotherapy of acute myeloid leukemia. Adv Funct Mater. 2024;34(48).
  • 225.Mann AP, Tanaka T, Somasunderam A, Liu X, Gorenstein DG, Ferrari M. E-selectin-targeted porous silicon particle for nanoparticle delivery to the bone marrow. Adv Mater. 2011;23(36):H278–82. [DOI] [PubMed]
  • 226.Zong H, Sen S, Zhang G, Mu C, Albayati ZF, Gorenstein DG, et al. In vivo targeting of leukemia stem cells by directing parthenolide-loaded nanoparticles to the bone marrow niche. Leukemia. 2016;30(7):1582–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 227.Swart LE, Fens M, van Oort A, Waranecki P, Mata Casimiro LD, Tuk D, et al. Increased bone marrow uptake and accumulation of Very-late antigen-4 targeted lipid nanoparticles. Pharmaceutics. 2023;15(6). [DOI] [PMC free article] [PubMed]
  • 228.Ho TC, Kim HS, Chen Y, Li Y, LaMere MW, Chen C, et al. Scaffold-mediated CRISPR-Cas9 delivery system for acute myeloid leukemia therapy. Sci Adv. 2021;7(21). [DOI] [PMC free article] [PubMed]
  • 229.Bae KH, Lai F, Mong J, Niibori-Nambu A, Chan KH, Her Z, et al. Bone marrow-targetable green tea catechin-based micellar nanocomplex for synergistic therapy of acute myeloid leukemia. J Nanobiotechnol. 2022;20(1):481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 230.Hao Wu YG, Ma J, Hu M, Xia J, Bao S, Liu Y, et al. Cytarabine delivered by CD44 and bone targeting redox-sensitive liposomes for treatment of acute myelogenous leukemia. Regenerative Biomater. 2022;9:11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 231.Ackun-Farmmer MA, Soto CA, Lesch ML, Byun D, Yang L, Calvi LM, et al. Reduction of leukemic burden via bone-targeted nanoparticle delivery of an inhibitor of C-chemokine (C-C motif) ligand 3 (CCL3) signaling. Faseb J. 2021;35(4):e21402. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 232.Quesenberry PJ, Becker PS. Stem cell homing: rolling, crawling, and nesting. Proc Natl Acad Sci USA. 1998;95(26):15155–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 233.Vermeulen M, Le Pesteur F, Gagnerault MC, Mary JY, Sainteny F, Lepault F. Role of adhesion molecules in the homing and mobilization of murine hematopoietic stem and progenitor cells. Blood. 1998;92(3):894–900. [PubMed] [Google Scholar]
  • 234.Peled A, Kollet O, Ponomaryov T, Petit I, Franitza S, Grabovsky V, et al. The chemokine SDF-1 activates the integrins LFA-1, VLA-4, and VLA-5 on immature human CD34(+) cells: role in transendothelial/stromal migration and engraftment of NOD/SCID mice. Blood. 2000;95(11):3289–96. [PubMed] [Google Scholar]
  • 235.Lapidot T, Kollet O. The essential roles of the chemokine SDF-1 and its receptor CXCR4 in human stem cell homing and repopulation of transplanted immune-deficient NOD/SCID and NOD/SCID/B2m(null) mice. Leukemia. 2002;16(10):1992–2003. [DOI] [PubMed] [Google Scholar]
  • 236.Lapidot T, Dar A, Kollet O. How do stem cells find their way home? Blood. 2005;106(6):1901–10. [DOI] [PubMed] [Google Scholar]
  • 237.Kollet O, Spiegel A, Peled A, Petit I, Byk T, Hershkoviz R, et al. Rapid and efficient homing of human CD34(+)CD38(-/low)CXCR4(+) stem and progenitor cells to the bone marrow and spleen of NOD/SCID and NOD/SCID/B2m(null) mice. Blood. 2001;97(10):3283–91. [DOI] [PubMed] [Google Scholar]
  • 238.Jin L, Hope KJ, Zhai Q, Smadja-Joffe F, Dick JE. Targeting of CD44 eradicates human acute myeloid leukemic stem cells. Nat Med. 2006;12(10):1167–74. [DOI] [PubMed] [Google Scholar]
  • 239.Chen FM, Wu LA, Zhang M, Zhang R, Sun HH. Homing of endogenous stem/progenitor cells for in situ tissue regeneration: promises, strategies, and translational perspectives. Biomaterials. 2011;32(12):3189–209. [DOI] [PubMed] [Google Scholar]
  • 240.Chute JP. Stem cell homing. Curr Opin Hematol. 2006;13(6):399–406. [DOI] [PubMed] [Google Scholar]
  • 241.Lévesque JP, Helwani FM, Winkler IG. The endosteal ‘osteoblastic’ niche and its role in hematopoietic stem cell homing and mobilization. Leukemia. 2010;24(12):1979–92. [DOI] [PubMed] [Google Scholar]
  • 242.Khaldoyanidi S. Directing stem cell homing. Cell STEM Cell. 2008;2(3):198–200. [DOI] [PubMed] [Google Scholar]
  • 243.Weigel JA, Raymond RC, Weigel PH. The hyaluronan receptor for endocytosis (HARE) is not CD44 or CD54 (ICAM-1). Biochem Biophys Res Commun. 2002;294(4):918–22. [DOI] [PubMed] [Google Scholar]
  • 244.Harris EN, Weigel JA, Weigel PH. Endocytic function, glycosaminoglycan specificity, and antibody sensitivity of the recombinant human 190-kDa hyaluronan receptor for endocytosis (HARE). J Biol Chem. 2004;279(35):36201–09. [DOI] [PubMed] [Google Scholar]
  • 245.Fraser JR, Appelgren LE, Laurent TC. Tissue uptake of circulating hyaluronic acid. A whole body autoradiographic study. Cell Tissue Res. 1983;233(2):285–93. [DOI] [PubMed] [Google Scholar]
  • 246.Courel MN, Maingonnat C, Bertrand P, Chauzy C, Smadja-Joffe F, Delpech B. Biodistribution of injected tritiated hyaluronic acid in mice: a comparison between macromolecules and hyaluronic acid-derived oligosaccharides. In Vivo. 2004;18(2):181–87. [PubMed] [Google Scholar]
  • 247.Ma S, Xu S, Li M, Du Y, Tian G, Deng J, et al. A bone targeting nanoparticle loaded OGP to restore bone homeostasis for osteoporosis therapy. Adv Healthc Mater. 2023;12(25):e2300560. [DOI] [PubMed] [Google Scholar]
  • 248.Sun X, Lin Y, Zhong X, Fan C, Liu Z, Chen X, et al. Alendronate-functionalized polymeric micelles target icaritin to bone for mitigating osteoporosis in a rat model. J Control Release. 2024;376:37–51. [DOI] [PubMed] [Google Scholar]
  • 249.Fu L, Zhang W, Zhou X, Fu J, He C. Tumor cell membrane-camouflaged responsive nanoparticles enable MRI-guided immuno-chemodynamic therapy of orthotopic osteosarcoma. Bioact Mater. 2022;17:221–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 250.Sun K, Yuan L, Chen S, Sun Y, Wei D. Alendronate Pt(IV) prodrug amphiphile for enhanced chemotherapy targeting and bone destruction inhibition in osteosarcoma. Adv Healthc Mater. 2024;13(7):e2302746. [DOI] [PubMed] [Google Scholar]
  • 251.Abou-Elnour FS, El-Habashy SE, Essawy MM, Abdallah OY. Alendronate/lactoferrin-dual decorated lipid nanocarriers for bone-homing and active targeting of ivermectin and methyl dihydrojasmonate for leukemia. Biomater Adv. 2024;162:213924. [DOI] [PubMed] [Google Scholar]
  • 252.Wu X, Hu Z, Nizzero S, Zhang G, Ramirez MR, Shi C, et al. Bone-targeting nanoparticle to co-deliver decitabine and arsenic trioxide for effective therapy of myelodysplastic syndrome with low systemic toxicity. J Control Release. 2017;268:92–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 253.Swami A, Reagan MR, Basto P, Mishima Y, Kamaly N, Glavey S, et al. Engineered nanomedicine for myeloma and bone microenvironment targeting. Proc Natl Acad Sci USA. 2014;111(28):10287–92. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 254.Han TY, Hou LS, Li JX, Huan ML, Zhou SY, Zhang BL. Bone targeted miRNA delivery system for miR-34a with enhanced anti-tumor efficacy to bone-associated metastatic breast cancer. Int J Pharm. 2023;635:122755. [DOI] [PubMed] [Google Scholar]
  • 255.Gao H, Zhang J, Kleijn TG, Wu Z, Liu B, Ma Y, et al. Dual ligand-targeted Pluronic P123 polymeric micelles enhance the therapeutic effect of breast cancer with bone metastases. Oncol Res. 2024;32(4):769–84. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 256.Long M, Liu X, Huang X, Lu M, Wu X, Weng L, et al. Alendronate-functionalized hypoxia-responsive polymeric micelles for targeted therapy of bone metastatic prostate cancer. J Control Release. 2021;334:303–17. [DOI] [PubMed] [Google Scholar]
  • 257.Zhang X, Liu Q, Zhang T, Gao P, Wang H, Yao L, et al. Bone-targeted nanoplatform enables efficient modulation of bone tumor microenvironment for prostate cancer bone metastasis treatment. Drug Deliv. 2022;29(1):889–905. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 258.Sheu TJ, Schwarz EM, O’Keefe RJ, Rosier RN, Puzas JE. Use of a phage display technique to identify potential osteoblast binding sites within osteoclast lacunae. J Bone Min Res. 2002;17(5):915–22. [DOI] [PubMed] [Google Scholar]
  • 259.Wang Y, Newman MR, Ackun-Farmmer M, Baranello MP, Sheu TJ, Puzas JE, et al. Fracture-targeted delivery of β-catenin agonists via peptide-functionalized nanoparticles augments Fracture Healing. ACS Nano. 2017;11(9):9445–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 260.Xiao B, Liu Y, Chandrasiri I, Adjei-Sowah E, Mereness J, Yan M, et al. Bone-targeted nanoparticle drug delivery system-mediated macrophage modulation for enhanced Fracture Healing. Small. 2024;20(7):e2305336. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 261.Patra JK, Das G, Fraceto LF, Campos EVR, Rodriguez-Torres MDP, Acosta-Torres LS, et al. Nano based drug delivery systems: recent developments and future prospects. J Nanobiotechnol. 2018;16(1):71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 262.Torchilin VP. Multifunctional nanocarriers. Adv Drug Deliv Rev. 2006;58(14):1532–55. [DOI] [PubMed] [Google Scholar]
  • 263.Zhu S. CAR-T in cancer therapeutics and updates. J Natl Cancer Cent. 2024;4(3):189–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 264.Frey NV. Chimeric antigen receptor T cells for acute lymphoblastic leukemia. Am J Hematol. 2019;94(S1):S24–S27. [DOI] [PubMed] [Google Scholar]
  • 265.Ishikawa F, Yoshida S, Saito Y, Hijikata A, Kitamura H, Tanaka S, et al. Chemotherapy-resistant human AML stem cells home to and engraft within the bone-marrow endosteal region. Nat Biotechnol. 2007;25(11):1315–21. [DOI] [PubMed] [Google Scholar]
  • 266.Hanekamp D, Cloos J, Schuurhuis GJ. Leukemic stem cells: identification and clinical application. Int J Hematol. 2017;105(5):549–57. [DOI] [PubMed] [Google Scholar]
  • 267.Villatoro A, Konieczny J, Cuminetti V, Arranz L. Leukemia stem cell release from the stem cell niche to treat acute myeloid leukemia. Front Cell Dev Biol. 2020;8:607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 268.Lévesque JP, Winkler IG, Hendy J, Williams B, Helwani F, Barbier V, et al. Hematopoietic progenitor cell mobilization results in hypoxia with increased hypoxia-inducible transcription factor-1 alpha and vascular endothelial growth factor a in bone marrow. STEM Cells. 2007;25(8):1954–65. [DOI] [PubMed] [Google Scholar]
  • 269.Zhang J, Ye J, Ma D, Liu N, Wu H, Yu S, et al. Cross-talk between leukemic and endothelial cells promotes angiogenesis by VEGF activation of the Notch/Dll4 pathway. Carcinogenesis. 2013;34(3):667–77. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Not applicable.


Articles from Journal of Translational Medicine are provided here courtesy of BMC

RESOURCES