Abstract
The identification of stem-like CD8+ T cells, also termed progenitor or precursor of exhausted T cells (TPEX), has reshaped our understanding of durable antitumor immunity. These cells exhibit progenitor-like properties, including self-renewal capacity and multilineage differentiation potential, giving rise to both effector-like and terminally exhausted CD8+ T cell subsets. Accordingly, the abundance of stem-like CD8+ T cells correlate strongly with improved clinical outcomes in patients receiving immune checkpoint inhibitors, adoptive cell therapy, or cancer vaccines across multiple tumor types. This review synthesizes recent advances in TPEX cells biology, highlighting interconnected research pillars, including: specialized niche microenvironments that sustain stemness of TPEX cells through coordinated chemokine signaling and antigen-presenting cell interactions; core molecular circuitry that dynamically balances self-renewal versus effector differentiation via transcription factors and cytokines; and therapeutic reprogramming strategies that harness TPEX cells as the primary driver of immunotherapy efficacy. Further, we explore strategies to augment the functionality of TPEX cells through niche modulation, stem-like CAR-T engineering, and combinatorial approaches, highlighting the trend that targeting TPEX cells thus emerge as a transformative future strategy to overcome immunotherapy resistance and achieve a durable response.
Keywords: cancer immunotherapy, self-renewability, stem-like T cells, therapeutic implications, tumor microenvironment
1. Introduction
The advent of immunotherapy has revolutionized cancer treatment. However, durable responses remain limited, occurring in only 15-30% of patients receiving immune checkpoint blockade (ICB) (1, 2). Preclinical and clinical evidence underscores that CD8+ T cell infiltration correlates with improved outcomes, particularly in cancers with high mutational burden and neoantigen load (3). Critically, the functional outcomes of antigen-stimulated CD8+ T cells are critically shaped by the context and duration of antigen exposure.
During acute antigen stimulation (as in resolved infections or some vaccines), CD8+ T cells differentiate into both short-lived effector cells (SLECs) characterized by a KLRG1+ CD127− phenotype and memory precursor effector cells (MPECs) characterized by a KLRG1− CD127+ phenotype (4, 5). SLECs exhibit potent cytotoxicity and undergo robust clonal expansion to mediate immediate pathogen clearance, but most undergo apoptosis after antigen clearance. Whereas MPECs are minimally differentiated, activated CD8 T cells that show a high propensity to survive during the transition from an activated state to a resting state. Importantly, it is the MPECs population that gives rise to long-lived memory T cells (2, 4, 6–8). Additionally, MPECs afford long-lived protective immunity by virtue of their ability to generate large waves of effector cells in the face of renewed antigen stimulation; their ability to rapidly recall effector functions; and their broad distribution in peripheral tissues where they can act promptly to precipitate tissue immunity and memory T cells (2, 5).
Conversely, chronic antigen stimulation, as occurs in persistent viral infections and cancer, drives CD8+ T cells into a state of exhaustion or dysfunction, which is distinct from functional memory (5, 9–12). Within this exhausted compartment, a distinct subset with stem-like or progenitor properties has been identified, variably termed progenitor/precursor of exhausted T (TPEX) cells or stem-like CD8+ T (TSL) cells (2, 13–16). This subset is defined by two cardinal stem cell-like functions: self-renewal, which maintains a durable reservoir, and multilineage differentiation potential, enabling them to give rise to both effector-like exhausted T (TEEF) cells and terminally differentiated exhausted T (TTEX) cells (9, 17–19) (Figure 1A). These progenitor-like properties of TPEX, sustained by a core transcriptional circuit such as transcription factor 1 (TCF1), allow them to serve as a renewable source for effector T cells and underpin durable immune responses, distinguishing them from terminal effector or classical memory subsets (4, 20–22). Notably, TPEX cells are the primary mediator of the proliferative burst following ICB and are essential for sustained tumor control (14, 20, 23, 24). The study of TPEX cells has evolved through key milestones (Figure 1B). They were first described in 2005 in the context of murine graft-versus-host disease (25). A pivotal advance came in 2016, when studies in chronic infection and tumor models revealed that a stem-like progenitor subset within the exhausted lineage drives T cell regeneration upon PD-1 blockade, providing a mechanistic basis for ICB efficacy (11, 26). The advent of single-cell RNA sequencing has since resolved the transcriptional heterogeneity of TPEX cells within the tumor microenvironment (TME), uncovering finer regulators of their maintenance (17). Most recently, these insights have spurred clinical innovation, with stem-like CAR-T therapies showing improved persistence (27) and epigenetic reprogramming strategies aiming to rejuvenate stem-like functionality (28, 29).
Figure 1.
Historical and characteristics of stem-like T cells. (A) T cell heterogeneity and differentiation hierarchy in acute and chronic infection. (Up) Acute antigen stimulation drives CD8+ T cells differentiate into short-lived effector cells (SLECs) characterized by a KLRG1+ CD127− and memory precursor effector cells (MPECs) characterized by a KLRG1- CD127+ CD62L+ CD27+. When encountering the antigen again, MPECs will rapidly differentiate into SLECs. (Down) Persistent antigen stimulation drives CD8+ T cells into exhausted T cell subsets including progenitor of exhausted T cells (TPEX), effector-like exhausted T cells (TEFF), and terminal differentiated exhausted T (TTEX) cells. TPEX cells express TCF1, PD-1, and CXCR5 continuously self-renew and replenished the TPEX pool, thus giving rise to more differentiated TCF1- PD-1+ TIM3+ CD101- TEFF cells and TCF1- PD-1+ TIM3+ CD101+ TTEX cells. (B) Timeline of historical milestone events in the field of stem-like T cells.
Herein, we review the latest advances in understanding TPEX cell biology within the TME, focusing on: (1) the specialized niches that support their maintenance and differentiation, (2) strategies to generate or enhance TPEX cells, and (3) the therapeutic potential of targeting TPEX functionality to improve ICB, adoptive cell therapy, and cancer vaccination.
2. Molecular markers and characteristics of stem-like T cells
2.1. Molecular markers of stem-like T cells
Stem-like T (TSL) cells, also known as precursors of exhausted T (TPEX) cells originate from antigen-stimulated naïve T cells. But under the chronic or persistent antigen exposure (as in cancer or chronic infections), they emerge as a distinct subset within the exhausted T cell lineage. Their canonical and defining feature is the high expression of the transcription factor TCF1, encoded by Tcf7, a key regulator of T cell stemness and a downstream effector of the Wnt/β-catenin pathway (22, 30–32). Phenotypically, these cells are characterized by the co-expression of TCF1 and intermediate-to-high levels of PD-1 (TCF1+ PD-1+), which distinguishes them from both naïve T cells (TCF1+ PD-1−) and TTEX cells (TCF1− PD-1+). They typically lack or express low levels of markers associated with terminal exhaustion, such as TIM-3. Additional surface markers often found on TPEX cells include CXCR5 (important for lymphoid follicle homing) and Slamf6 (Ly108 in mice) (33), while they exhibit low expression of immediate effector molecules like granzyme B (GZMB) and interferon-γ (IFN-γ) (5, 9, 34, 35). Details are summarized in Table 1.
Table 1.
The definition, markers, function, and metabolic profile of T cell terminologies.
| Stimulation | T cell lineage | Subset | Markers | Key feature | Metabolic profile | Reference |
|---|---|---|---|---|---|---|
| Acute antigen stimulation | Activated/memory T cells | SLEC | KLRG1+, CD127- | Highly differentiated cytotoxic CD8+ T cell; Most undergo apoptosis after antigen clearance. | Highly glycolytic and dependent on one-carbon metabolism | (4, 6–8, 38, 39) |
| MPECs | CD127+, CD27+, TCF1+, CD62L+/-, KLRG1- | A minimally differentiated activated CD8+ T cell; Has a high propensity to survive during the transition from an activated state to a resting state; Produce cytokines but exhibit less cytotoxicity than SLECs. |
Dependent on OXPHOS and mitochondrial function; Contain relatively greater mitochondrial mass; The mitochondria have a fused ultrastructure and a relatively higher SRC. |
(4, 36–40) | ||
| Chronic antigen stimulation | Exhausted T cells | TPEX* | TCF1+, PD-1+, BCL6+, SLAMF6+, CXCR3+, LEF1+, CD73+, XCL1+, CXCR5+, TIM3-, CD39-, granzyme B- | Self-renewal; Expands and burst proliferate after ICB; Differentiate into TEFF cells and TTEX cells. |
Mitochondrial fitness (high SRC, fused morphology); Increased FAO and mitochondrial SRC, generated less reactive oxygen species, and minimized oxidative damage. |
(2, 4, 5, 9, 13–16, 23, 24, 39–42) |
| TINT | PD-1+, TIM3+, T-bet+, granzyme B+, perforin+, IFNγ+, CX3CR1+, TCF1-, SLAMF6-, CD101- | Express effector molecules such as granzyme B and perforin to kill tumor cells. | Metabolic insufficiency and inhibition of mitochondrial respiration and glycolysis. | (2, 4, 5, 9, 17, 19, 39–42) | ||
| TTEX | PD-1+, TOX+, TIM3+, granzyme B+, CD39+, CD101+, TCF1-, SLAMF6-, CX3CR1- | Increased expression of inhibitory receptors; Limited killing capacity and proliferation. |
Severe mitochondrial dysfunction driven by PGC1α suppression; Metabolic paralysis, such as decreased glycolytic activity and OXPHOS. | (2, 4, 5, 9, 17, 19, 39–42) |
TPEX, also named TSL;
TINT, also named TEFF.
SLECs, Short-lived effector cell; MPECs, Memory precursor effector cells; TPEX, Progenitor or precursor exhausted T; TSL, Stem-like T; TINT, Intermediate exhausted T; TEFF, Effector-like exhausted T; TTEX, Terminally differentiated exhausted T; SRS, Spare respiratory capacity; FAO, Fatty acid oxidation; ICB, Immune checkpoint blockade; OXPHOS, Oxidative phosphorylation.
2.2. Functional characteristics of stem-like T cells
Functionally, TPEX cells are demarcated from other T cell subsets by their unique combination of properties. Unlike naïve T cells, which are antigen-inexperienced, TPEX cells are generated post-activation and possess a poised, antigen-experienced state while retaining a multipotent capacity. Compared to SLECs, which are terminally differentiated for immediate cytotoxicity but undergo rapid contraction. TPEX cells exhibit minimal immediate effector function but sustain long-term proliferative potential and self-renewal. They also differ from conventional memory T cells (e.g., central memory and effector memory T cells), which arise from acute, resolved infections and are maintained in a quiescent state for rapid recall (4, 36, 37).
TPEX cells exist within the context of persistent antigen, are often part of the “exhausted” lineage, and their self-renewal is continuously engaged to replenish exhausted effector pools. Most critically, they are distinct from TTEX, which are epigenetically fixed, dysfunctional, and possess negligible proliferative capacity (28). TPEX cells serve as the primary reservoir that undergoes proliferative expansion in response to ICB, driving the replenishment of the effector T cell compartment, which is absent in TTEX subsets (2, 14). Overall, these functional profiles including self-renewal under chronic antigen pressure, multilineage differentiation, and therapy-responsive proliferation, defines their unique role as the central regenerative engine of the antitumor T cell response. Details are summarized in Table 1.
2.3. Metabolic signature of stem-like T cells
This metabolic profile of TPEX cells starkly contrasts with other T cells. SLECs are highly glycolytic and dependent on one-carbon metabolism (38, 39). Memory T cells contain relatively greater mitochondrial mass, and the mitochondria have a fused ultrastructure and a relatively higher spare respiratory capacity (SRC) (38–40). TTEX cells exhibit severe mitochondrial dysfunction driven by PGC1α suppression and metabolic paralysis, such as decreased glycolytic activity and oxidative phosphorylation (OXPHOS). Whereas TPEX cells display distinct metabolic profiles characterized by increased fatty acid oxidation (FAO) and mitochondrial SRC, which generates less reactive oxygen species, minimizing oxidative damage. Furthermore, they possess abundant, fused mitochondria, indicative of metabolic fitness. The unique metabolic wiring of TPEX cells is thus integral to their self-renewal capacity, persistence, and readiness to proliferate upon demand (39, 41, 42).
3. Specific niches of stem-like T cells
When chronic antigen stimulation, TPEX cells are activated and predominantly localize to specialized niches within tissues. Within these niches, they engage in intercellular interactions and receive microenvironmental signals critical for their survival and functional maintenance. These niches enable TPEX cells to contribute to immune surveillance and mount rapid recall responses upon antigen re-encounter (Table 2). Consequently, delineating the specific niches harboring TPEX cells is critical for advancing immunotherapeutic strategies and developing more efficacious treatments.
Table 2.
Specific niches of stem-like T cells.
| Specific niches | Key cell type | Function | Reference |
|---|---|---|---|
| TDLNs | DCs | Carry tumor antigens, activate TPEX cells, and maintain their stem cell properties. | (44, 45) |
| Fibroblast | Promotes the localization of TPEX cells and stem cell phenotype through the CCR7-CCL19/CCL21 signaling pathway. | (43) | |
| Perivascular tumor niches | APCs | Antigens are presented through MHC II molecules, which promote the aggregation and function of TPEX cells. | (15, 49) |
| Endothelial cells (CD31+) | Support TPEX cells residency through the CXCR6-CXCL16 and CXCR3-CXCL9/CXCL10 signaling pathways. | (22, 50) | |
| TLS | B cells | Promote the aggregation and function of TPEX cells through CXCL13 signaling, and support anti-tumor immune responses. | (34, 53, 54) |
| Interaction between DCs and T cells | In TLS, DCs interact with TPEX cells to maintain their stem cell properties and functions. | (34, 52) |
TDLN, Tumor-draining lymph nodes; TLS, Tertiary lymphoid structures; DCs, Dendritic cells; APCs, Antigen-presenting cells; TPEX, Progenitor or precursor exhausted T.
3.1. Tumor-draining lymph nodes
In patients with lung adenocarcinoma, Connolly et al. (36) observed that the majority of TPEX cells were present in non-metastatic lung-draining lymph nodes, which was in line with the findings in mice, where TPEX cells were predominantly located in tumor-draining lymph nodes (TDLNs). TPEX cells within the TDLNs present with high CCR7 expression, which is vital for the migration and positioning of TPEX cells. The stromal cells in TDLNs could produce CCL19 and CCL21, which are the ligands of CCR7, and attract TPEX cells to concentrate in the inner T cell zone (TCZ) (43) (Figure 2A). Mature dendritic cells (DCs) carrying tumor-generated antigens infiltrate the TCZ, providing specific signals that tune naïve T cells toward TPEX cells (44, 45). Meanwhile, in the outer TCZ, DCs attract TPEX cells to differentiate into effector cells by expressing CXCR3 ligands, CXCL9 and CXCL10, and IFN-I (Figure 2B). Thus, blockading of PDL1 on DCs could induce local expansion of TPEX cells within the TDLNs, which further traffics to the tumor and induces effective immunity (16, 46, 47). Other studies also discovered that TPEX cells in the TDLNs are the precursors of the tumor-specific T cells (37, 48) and play a vital role in maintaining persistent T cell responses (Figure 2C). Altogether, increasing data have shown that TDLNs as a reservoir of TPEX cells are key sites where de novo antitumor responses are initiated.
Figure 2.
Special niches and differentiation of stem-like T cells. Progenitor of exhausted T (TPEX) cells reside in tumor-draining nodes (TDLNs) or lymphoid structures such as APC-niche and tertiary lymphoid structures (TLS) within tumors. Here, they interact with antigen-presenting cells (APCs), such as dendritic cells (DC) and macrophages, CD4+ T cells, and B cells that provide signals for TPEX cell survival and maintenance and their differentiation into effector-like exhausted T cells (TEFF), and terminal differentiated exhausted T (TTEX) cells. (A) TPEX cells migrate and localize in the white pulp niche (closer to the capsule and afferent lymphatics) of TDLN is regulated by the chemokine receptor CCR7. (B) TEFF cells expressing CXCR3 are attracted to the red pulp niche (closer to the efferent lymphatics) by CXCL9 and CXCL10, produced by DCs and stromal cells and then differentiating into TTEX cells. (C) Mature DCs migrate to TDLNs under the guidance of chemokines like CCL19 and CCL21 produced by fibroblast. Within TDLNs, DCs deliver tumor-derived antigens to naïve T cells via major histocompatibility complex (MHC) molecules, supported by co-stimulatory signals like CD80/CD86 binding to CD28. This antigen presentation primes naïve T cells, promoting their differentiation into TPEX cells, which then continuously migrates from the TDLNs to the tumor and differentiated into TEFF cells and TTEX cells. (D) TEFF cells expressing CXCR3 are recruited to both primary and abscopal tumor sites through the bloodstream, which is facilitated by chemokines such as CXCL9 and CXCL10. TEFF cells secret IFNγ, TNFα, and Gzmb to kill tumor cells.
3.2. Perivascular tumor niches
TPEX cells predominantly localize to the specialized perivascular niches at the tumor-stroma interface, while TEFF cells and TTEX cells infiltrate deeper tumor parenchymal regions, where they directly engage tumor cells. These perivascular niches provide specific signals that sustain TPEX cell survival and stemness. Multiple studies have revealed a spatial correlation between TPEX cells and antigen-presenting cells (APCs) in tumor tissues. In kidney, bladder, and prostate cancers, TPEX cells localize preferentially to tumor regions densely populated by MHCII+ APCs, while TTEX cells and TTEX cells resided distally. This compartmentalization establishes functional perivascular niches that drive TPEX cell clustering and facilitate cross-presentation of tumor antigens (15, 49).
Furthermore, the presence of perivascular niches correlated with enhanced tumor vascularization. In a melanoma, TPEX cells are localized preferentially within perivascular regions adjacent to CD31+ endothelial cells in tumor tissue (22). Similar perivascular niches, enriched in TPEX cells and DCs, have also been documented in colon cancer and pancreatic ductal adenocarcinoma (50). These niches are coordinated by CXCR6-CXCL16 and CXCR3-CXCL9/CXCL10 chemokine interactions within the tumor stroma, interactions critical for mediating immunotherapy responses. Crucially, immunotherapy induces the formation of these perivascular niches, and their abundance correlates with the magnitude of therapeutic response, supporting their functional importance in antitumor immunity (50).
3.3. Tertiary lymphoid structures
Tertiary lymphoid structures (TLS) are ectopic immune cell aggregates exhibiting architectural parallels to the follicles of secondary lymphoid organs (51). These structures facilitate antigen presentation to lymphocytes, thereby supporting the initiation and regulation of adaptive immune responses. Within the TME, TLS is predominantly localized at peri-tumoral sites or along the tumor-stroma interface (52) (Figure 2C). Their presence correlates positively with enhanced intratumoral T cell infiltration and favorable patient prognosis (34, 53). In the context of patients with stage I–IV non-small-cell lung cancer (NSCLC), TPEX cells are observed to be located in the TLSs rather than in the tumor parenchyma (54). Studies further demonstrate significantly greater TPEX abundance in TLS-enriched tumors, suggesting TLS may function as an intratumoral reservoir for TPEX cells (34). Conversely, T cells from TLS-deficient tumors exhibit pronounced exhaustion phenotypes, characterized by elevated co-expression of PD-1 and TIM-3 (52). While burgeoning evidence underscores the prognostic and immunological significance of TLS and associated TPEX populations, the precise molecular mechanisms governing their spatial organization, functional interplay, and therapeutic contributions remain incompletely elucidated.
4. Differentiation and maintenance of stem-like T cells
The differentiation and maintenance of TPEX cells are governed by complex cell-extrinsic and -intrinsic factors. While sustaining self-renewal ability, TPEX cells simultaneously undergo substantial transcriptional and functional reprogramming and phenotypic differentiation following antigen exposure (49, 55). Studies on chronic viral infections and tumor models have demonstrated that when TPEX cells proliferate in response to persisting antigen or inflammatory cues, they may give rise to multiple exhausted progenies, including TEEF cells, intermediate exhausted T (TINT) cells, and TTEX.
TEEF and TINT cells have been used to describe transitional exhausted T (transitional TEX) cells. These cells express effector molecules such as GZMB and perforin and have anti-viral and anti-tumor functions. They leave lymphoid tissues and migrate to sites of infection or tumors (56) (Figure 2D). Concomitant with this differentiation, transitional TEX cells downregulate TCF1 expression, thereby losing the stem-like characteristics. Markers used for transitional TEX cells are TCF1− PD-1+ TOX+ TIM3+ CD101− (4, 16, 30).
TTEX cells have little proliferative capacity and reduced and altered effector function compared to transitional TEX cells. TTEX cells do retain limited cytotoxicity, produce low amounts of effector cytokines, and express chemokines that help recruit other leukocytes. TTEX cells can arise directly from TPEX cells and also from transitional TEX cells. In the context of cancer, TTEX cells are often referred to as ‘dysfunctional’ T cells. Markers used for TTEX cells are TCF1− PD-1+ TOX+ TIM3+ CD101+ (2, 9, 56). Collectively, the differentiation of exhausted CD8+ T cells follow a hierarchical and progressive pathway under sustained antigen exposure (Figure 2D).
Functionally, while undergoing differentiation, TPEX cells retain self-renewal capacity, a property critical for robust proliferative expansion that underpins durable clinical benefit following immunotherapy. Conversely, TEFF and TTEX populations exhibit limited survival and self-renewal potential (2, 9, 57). Although reversal of T cell exhaustion has traditionally been considered the primary mechanism of ICB efficacy, studies on TPEX cells demonstrate that their defining feature, responsiveness to ICB-mediated expansion, represents the key driver of therapeutic benefit, rather than phenotypic reversion (21, 58, 59). Notably, the TEFF and TTEX phenotype predominates within the tumor-specific repertoire, implying that sustained antitumor immunity likely depends on an external TSL population capable of generation and infiltration (14, 60–62).
TPEX cells exhibit migratory capacity, trafficking between intratumoral perivascular niches or TLS and reservoir sites within TDLNs (16, 36, 37, 63–65). Preclinical evidence using the S1P1-agonist FTY720 to block T cell egress demonstrated that preventing TPEX migration diminished tumor regression. This challenges the paradigm that anti-PD-1 therapy acts solely on intratumoral T cells and underscores the necessity of TDLNs for TPEX maintenance (16, 64).
5. Endogenous frequency and microenvironmental regulation of stem-like T cells
The frequency of TPEX cells is highly variable and context-dependent, typically representing ~5%-20% of tumor-infiltrating CD8+ T cell across different cancer types and patients (15, 36, 66, 67). The variation is dynamically regulated by the TME through several key mechanisms.
5.1. Special niches
The frequencies of TPEX cells are positively correlated with the presence of immunologically active structures, including TLS, perivascular areas, and TDLNs (50–54). These niches provide critical survival signals (e.g., IL7 and IL-15) and intermittent antigen presentation, which sustain TPEX cell clustering and prevent terminal differentiation (51, 52, 54). Clinically, niche-rich tumors exhibit higher TPEX cell frequencies and improved patient outcomes (68, 69). The absence of these structures correlates with lower TPEX frequencies and a more exhausted T cell landscape (50–54, 68, 69). The TDLN serves as a critical extratumoral reservoir, maintaining a higher frequency of TPEX cells that can be recruited to the tumor (36, 67). TPEX cells continuously traffic between the TDLN and tumor, a process required for replenishing the intratumoral pool (36, 70, 71). Using FTY720 to block this egress could reduce TPEX cell frequency and antitumor immunity (36, 70, 72).
5.2. Metabolic and antigen pressure
The nutrient-depleted, hypoxic TME imposes metabolic stress that can also affect the TPEX cells. A clear consensus indicates that TPEX cells rely on oxidative metabolism (OXPHOS/FAO) for long-term persistence, unlike their glycolytic effector progeny (39, 40). Furthermore, chronic antigen exposure such as high levels of IFN-I (late phase), IL-2, and inflammatory signals, constantly depletes the TPEX pool by driving differentiation, making their sustained frequency a balance between self-renewal and differentiation pressure (37, 73).
5.3. Impact on cancer progression and patient outcomes
Additionally, the regulatory mechanisms governing TPEX cell frequency described above also directly dictate the balance between tumor immune control and disease progression. A robust and well-maintained TPEX pool, supported by functional niches and balanced cytokine signals (51, 52, 54), establishes a state of continuous immunosurveillance. This enables the adaptive immune system to dynamically respond to tumor evolution by generating TEFF cells continuously. In this context, the immune system can control tumors in a state of long-term equilibrium or even mediate tumor regression, a hallmark of effective immunotherapy. Clinically, this is reflected in the strong association between high TPEX abundance, the presence of TLS, and favorable patient outcomes across multiple cancer types (68, 69).
Conversely, the breakdown of TPEX-supportive regulation is a pivotal event driving cancer progression. This failure can occur through several interconnected mechanisms: 1) Loss of supportive niches (e.g., absence of TLS, vascular abnormalities, and lymph node metastasis), leading to TPEX depletion (50–54, 68, 69); 2) Overwhelming differentiation pressure from chronic inflammation and antigen load, which exhausts the progenitor reservoir (37, 73); 3) Metabolic sabotage within the TME, impairing the mitochondrial fitness of TPEX cells (39, 40). The consequence is a collapsed regenerative engine for antitumor immunity. The T cell compartment becomes dominated by terminally exhausted, dysfunctional TPEX cells, incapable of controlling tumor growth. This failure to replenish effector cells leads to diminished immune pressure, allowing for unchecked tumor expansion, evolution of antigen-loss variants, and eventual metastatic dissemination.
Consequently, the frequency of TPEX cells is a balance between supportive signals and differentiation pressures that deplete the pool by driving terminal exhaustion. The dynamic regulation of TPEX cells is a core modulator of anti-tumor immunity. Therapeutic strategies that successfully maintain, expand, or restore TPEX cells, such as ICB, microenvironment modulators, or adoptive transfer of stem-like T cells, essentially work by restoring this critical regenerative capacity, thereby shifting disease progression from advancement to control.
6. Key transcription factors and cytokines regulating stem-like T cells
The maintenance and functional output of TPEX cells are governed by a dynamic interplay of cell-intrinsic transcriptional programs and extrinsic signals from the TME. Here we summarized some key transcription factors (TFs) and cytokines, which can be broadly categorized into those controlling the overall exhaustion program, those maintaining stemness, and those promoting effector function and terminal differentiation (Figure 3), with detail available in Table 3.
Figure 3.
Key transcriptional factors and cytokines regulators. (A) The differentiation and function of TPEX cells are controlled by TCF1, BCL6, EOMES, MYB, FOXO1, and ID3. These factors maintain stemness and prevent terminal differentiation. Cytokines such as TGF-β, IL-7, and IL-15 further support TPEX cell survival and maintenance. (B) The differentiation TEFF cell is dependent on T-BET, TOX, and IRF4. Cytokines such as IL-2 further support TEFF cell development. (C) The differentiation of TTEX cells is driven by BLIMP1, TOX, and IRF4. Chronic exposure to cytokines such as IFN-I and IL-2 can induce terminal exhaustion.
Table 3.
Key transcription factors and cytokines regulating stem-like T cells.
| Role | Transcription factors and cytokines | Function | References |
|---|---|---|---|
| Stemness maintenance | TCF1 | Maintain the stem cell characteristics of TPEX cells, inhibit their differentiation into TEFF cells, and promote self-renewal and long-term survival. | (22, 31, 74, 75, 84) |
| BCL6 | Promote the stem-like program of TPEX cells, inhibit BLIMP1-mediated terminal differentiation, and maintain the persistence of TPEX cells. | (75, 76, 84) | |
| FOXO1 | Promote the formation, and maintain the long-term survival and stem cell characteristics of TPEX cells. | (79– 81) | |
| IL-7/IL-15 | Cooperate to govern TPEX cell formation and homeostasis. | (102–106) | |
| TGF-β | Maintain the stem cell state of TPEX cells by inhibiting their differentiation and promoting their residence in lymphoid tissues. | (111–114) | |
| Differentiation | BLIMP1 | Drive the TPEX differentiation into exhausted T cells via promoting inhibitory receptor expression (e.g., PD-1) while directly repressing stemness genes like TCF1 | (75, 90, 91) |
| T-BET | Drives TPEX cells differentiation and enhances the cytotoxicity of TEFF cells. | (17, 92, 93) | |
| TOX | Highly expressed in TTEX cells, and further promoting the exhausted programs transcriptionally and epigenetically. | (9, 75, 94–96) | |
| IL-2 | Promotes the differentiation of TPEX cells into effector T cells by inducing BLIMP1 expression, and excess IL-2 lead to T cell exhaustion. | (107) | |
| Dual effect | IRF4 | Promotes early effector differentiation, but under chronic stimulation it cooperates with TOX to repress TCF1 and enforce exhaustion | (18, 97) |
| IL-10 | (Mouse model) Promoted T cell exhaustion and impaired antitumor responses in mouse model; (Patients) PEGylated IL-10 treatment enhanced intratumoral CD8+ T cell expansion and effector function and was related to tumor regression. | Mouse model (39, 108); Patients (109, 110) | |
| IFN-I | Early stage: enhance T cell expansion; Late stage: promoted CD8+ T cell terminal exhaustion | (21, 115) |
TPEX, Progenitor or precursor exhausted T; TEFF, Effector-like exhausted T; TTEX, Terminally differentiated exhausted T.
6.1. Transcriptional circuit for stemness maintenance
A strong consensus exists around a core set of transcription factors (TFs) that are necessary and instructive for the stemness and persistence of TPEX cells, including TCF1 (22, 31, 74), BCL6 (75, 76), ID3 (77, 78), FOXO1 (79–81), and EOMES (82, 83). Among these TFs, TCF1 is the foremost and crucial for TPEX cell formation and maintenance (22, 31, 74). TCF1 establishes the transcriptional network required for TPEX cell differentiation by promoting EOMES and BCL6 expression, while suppressing T-BET and BLIMP1 expression (75, 84). Consequently, TCF1-deficient CD8+ T cells result in the impaired maintenance of T cells response and poor efficacy of ICB in mouse models (85). Similarly, the deletion of BCL6 displays reduced TPEX cell abundance and attenuates the long-term tumor control (75, 76, 84). In contrast, overexpression of TCF1, ID3, or FOXO1 in CD8+ T cells or in CAR-T cells could improve the persistence and tumor control (75, 76, 79, 81, 86). Another key regulator, MYB, is typically expressed in hematopoietic stem cells and in human stem-like T cells. Evidence shows that MYB-deficient T cells fail to respond to ICB (87), and Myb overexpression in CD8+ T cell enhanced the TPEX cell formation and improved tumor control in mouse models (88, 89).
6.2. Regulatory that drive differentiation and determine functional fate
If TCF1, BCL6, and FOXO1 form the “brakes” on differentiation, a separate set of factors act as the “accelerator”, pushing TPEX cell toward effector and exhausted fates.
One such regulator is BLIMP1, which promotes inhibitory receptor expression (e.g., PD-1, LAG-3) while directly repressing stemness genes (Tcf7, Bcl6, Ccr7, Sell, Cxcr5, Il-7r) (75, 90); reciprocally, TCF1 also repressed BLIMP1 (91). Consequently, BLIMP1 deletion expands the TPEX pool and improves responses to immunotherapy (75). Similarly, T-BET is essential for forming effector subsets and can antagonize the exhaustion marker PD-1 expression (17, 92, 93).
Moreover, persistent antigen signaling established a robust causal link to terminal exhaustion via the induction of TOX. TOX is highly expressed in TTEX cells and necessary for the full exhausted phenotype (9, 94, 95). Its absence preserves TCF1 expression and stem-like potential of TPEX cells (75, 96). IRF4 exhibits kinetic complexity: it promotes early effector differentiation but under chronic stimulation cooperates with TOX to repress TCF1 and enforce exhaustion (18, 97).
The roles of ID2 and EOMES appear context-dependent. ID2 expressed in TTEX cells and generally antagonizes TCF1/BCL6 in chronic LCMV infection (98–100), yet its loss in tumor model impairs TPEX maintenance and anti-PD-1 response (101). EOMES is highly expressed in TPEX cells but its deficiency reduces TTEX formation while expanding the TPEX compartment (163), suggesting a complex, stage-specific function that warrants further investigation.
6.3. Cytokines as fate-switching signals
Beyond transcription factors, cytokines critically shape TPEX cell fate, though their necessity within tumors in vivo is often nuanced and context-dependent.
Homeostatic cytokines IL-7 and IL-15 are established promoters of the stem-like state, cooperating to instruct TPEX cell differentiation (102–104) and used in culture to generate stem-like CAR-T cells (105, 106). Conversely, IL-2 predominantly drives effector differentiation by inducing BLIMP1 expression; engineered IL-2Rβγ agonists synergize with PD-1 blockade by expanding the TPEX-derived effector pool (107). However, the role of IL-10 appears to be more complex. In a murine melanoma model, IL-10 signaling promoted T cell exhaustion and impaired antitumor responses (108). But PEGylated IL-10 treatment enhanced intratumoral CD8+ T cell expansion and effector function and was related to tumor regression in cancer patients (109, 110). Moreover, IL-10 administration metabolically reprograms TTEX cells, enhancing antitumor immunity in mouse tumor models independently of TPEX cell (39). Thus, further research is necessary to fully understand the precise effect of IL-10 on TPEX cells.
The roles of TGF-β defy their traditional immunosuppressive labels. In tumor models, loss-of-function studies show TGF-β induced BCL6 expression in CD8+ T cells and was essential for maintaining the TPEX pool by enforcing residency and limiting premature differentiation (111–113). Consistently, TGF-β treatment enhances the stemness of CAR-T cells and improve antitumor efficacy (114).
IFN-I promote TTEX cells by antagonizing the formation and maintenance of TPEX cells (21). In the TME, IFN-I and IFN-II contributed to T cell exhaustion and activated resistance programs in tumor cells that limit anti-tumor T cell responses (21, 115).
7. Implication of stem-like T cells in immunotherapy
Due to the capacity of intrinsic progenitor properties, including self-renewal and multilineage differentiation potential, TPEX cells serve as the cornerstone of durable anti-tumor immunity and clinical response to immunotherapy (14, 35). Correlative preclinical and clinical evidence across multiple cancer types demonstrated that increased intratumoral TPEX cell abundance predicts improved immunotherapy outcomes, including enhanced T cell persistence and objective response rates (20, 22, 30, 68, 69). Consequently, TSL cells represent both a predictive biomarker for therapeutic efficacy and a promising target for next-generation immunotherapies (Table 4).
Table 4.
Potential therapeutic strategies targeting stem-like cells.
| Immunotherapy | Strategies to enhance the stemness of TPEX | References |
|---|---|---|
| ICB | Combined with radiotherapy or chemotherapy to enhances TPEX cell priming and recruitment | (130, 131, 134) |
| Combined with epigenetic reprogramming using DNMT inhibitors (such as azacytidine) or LSD1 inhibitors | (132, 133) | |
| Combined with metabolic interventions | (39) | |
| ACT | Substitution of IL-2 with homeostatic γ-chain cytokines (e.g., IL-7, IL-15, or IL-21) | (136) |
| The modulation of TCR signaling strength during activation (e.g., through altered peptide ligand or co-stimulation) | (9, 139) | |
| Engineering CAR-T cells with stem- and memory-like phenotypes | (81, 145–147) | |
| Cancer vaccination | Targeting of common tumor antigens or individualized neoAg | (22, 150–152) |
| Combined with ICB | (153–155) |
ICB, Immune checkpoint blockade; ACT, Adoptive cell immunotherapy; TPEX, Progenitor or precursor exhausted T.
7.1. Immune checkpoint blockade
Immune checkpoints are actually a normal part of the immune system with the role of preventing immune response from being too strong to destroy healthy cells in the body. As described before, when persistent antigen stimulation, T cells will undergo an exhausted phenotype with the increased expression levels of inhibitory receptors (e.g., PD-1 and CTLA4) (19). Notably, although TPEX cells share some features of exhaustion, they retain proliferative capacity, self-renewal, and lineage plasticity, acting as the progenitor population that continually replenishes the TTEX cells compartment, and responses to checkpoint blockade. Current ICB targeting CTLA-4 and PD-1 receptors have received positive outcomes (19, 116) and truly revolutionized the treatment of cancer patients with melanoma (117), breast cancer (118), lung cancer (119), and other cancers (120, 121).
Crucially, the mechanistic basis of ICB efficacy has been refined through detailed dissection of the T cell compartment. Accumulating evidence have suggested that the clinical benefit of PD-1/PD-L1 blockade is driven predominantly by the expansion and differentiation of TPEX cells, rather than the functional restoration of TTEX cells (5, 9, 23). TPEX cells, characterized by TCF1+ PD-1+ expression, retain self-renewal capacity and serve as a proliferative reservoir. In contrast, TTEX cells exhibit a fixed epigenetic and transcriptional state characterized by chromatin remodeling, TOX-driven transcriptional reprogramming, and metabolic exhaustion, rendering them refractory to reinvigoration (9, 122–124).
Preclinical studies established that TPEX cells serve as the primary reservoir for tumor-specific T cell upon PD-1/PD-L1 inhibitors (36, 59). In murine models of chronic LCMV infection and tumors, PD-1 inhibitor induces the proliferation and differentiation of TPEX subset into TEFF cells, driving tumor control (11, 23). Clinically, the association between TPEX cells and response to ICB is context-dependent and continues to be refined. Seminal work in melanoma demonstrated that higher frequencies of intratumoral TPEX cells correlate with prolonged progression-free survival (PFS) and objective response to anti-PD-1 therapy, and that responding patients exhibit clonal expansion of these cells, replenishing the cytotoxic T cell pool post-treatment (22, 125, 126). These findings established TPEX cells as a promising biomarker in this immunogenic cancer. However, subsequent studies across diverse tumor types and patient cohorts have revealed a more nuanced picture. While some reports corroborate a positive association with clinical benefit, others find correlations primarily with PFS rather than with objective response rates per se, and in certain contexts, the abundance of TPEX cells alone does not robustly predict clinical outcomes (15, 49, 59, 127–129). These discrepancies may stem from differences in tumor immunogenicity, prior therapies, T cell sampling site (e.g., blood vs. tumor), and the precise phenotypic definition of the stem-like population. Therefore, while TPEX cells are mechanistically crucial for sustaining antitumor immunity, their utility as a universal predictive biomarker requires further validation in specific cancer types and treatment settings.
Currently, rational combination therapies targeting TPEX cell amplification have shown mechanistic and clinical synergies. Firstly, radiotherapy promotes immunogenic cell death, releasing DAMPs that activate dendritic cells by the cGAS-STING pathway. This cascade enhances TPEX cell priming and recruitment to the tumor site and, when used in combination with anti-CTLA-4, amplifies the distal response (130, 131). Secondly, epigenetic reprogramming using DNMT inhibitors (such as azacytidine) or LSD1 inhibitors reverses T cell exhaustion by demethylating the Tcf7 enhancer. This sustains TPEX to a stem-cell-like state, restoring anti-PD-1 reactivity in preclinical models (132, 133). Thirdly, chemotherapy (such as oxaliplatin) upregulates CXCL10 in tumor vessels via IFN-γ signaling. The resulting chemokine gradient drives TPEX cell homing into tumors, enhancing the efficacy of ICB (134).
7.2. Adoptive cell immunotherapy
Studies on adoptive cell therapy (ACT) demonstrate that sustained antitumor immunity depends critically on the persistence of reinfused cells rather than their immediate cytotoxic capacity upon transfer because prolonged or excessive stimulation during T cell expansion is known to promote exhaustion and can compromise the functional potency of adoptively transferred cells (135). Consequently, contemporary ACT protocols prioritize generating less differentiated cell subsets over terminally differentiated populations to maximize antitumor efficacy in this context. Key strategies focus on culturing conditions that favor progenitor-like states. A pivotal approach involves the substitution of IL-2 with homeostatic γ-chain cytokines (e.g., IL-7, IL-15, or IL-21) during ex vivo expansion (136). Unlike IL-2, which can drive terminal effector differentiation and exhaustion, these cytokines promote homeostatic proliferation and help maintain or upregulate stem/progenitor-associated genes (such as Tcf7 and BCL6), thereby preserving a less differentiated, more persistent T cell product (103, 137, 138). Separately, the modulation of TCR signaling strength during activation (e.g., through altered peptide ligand or co-stimulation) is another critical lever to prevent over-stimulation and exhaustion, working in concert with cytokine conditioning to optimize T cell quality (9, 139). Additional strategies include augmenting stemness-promoting pathways like Notch signaling (140) and inhibiting transcription factors linked to terminal dysfunction (e.g., BLIMP1) (75).
Exogenous T cell therapies, particularly CAR-T immunotherapy, have established a new standard of care for several relapsed or refractory B-cell malignancies, including certain types of large B-cell lymphoma and B-cell acute lymphoblastic leukemia (141–144). Their application is actively being explored and is expanding into other well-defined hematologic and solid tumor settings. Notably, pre-infusion products enriched in CAR-TTEX cell populations correlate with inferior outcomes, whereas stem- and memory-like phenotypes associate with higher response rates (145, 146). Although comprehensive clinical characterization of TPEX phenotypes in CAR-T products remains limited, recent work identified PD-1+ TCF1+ CAR-TPEX cells as predictors of improved clinical outcomes (147). Preclinically, engineered CAR-T models overexpressing TPEX-associated TFs exhibit enhanced stem-like phenotypes, expansion potential, persistence, and therapeutic efficacy (81). Similarly, pre-existing TLS or APC-dense niches may be essential for generating and sustaining CAR-TPEX phenotypes; thus, fostering these microenvironments may augment their persistence (2, 148). Furthermore, utilizing TPEX cells and their molecular signatures as predictive biomarkers may optimize CAR-T clinical management.
Collectively, these findings underscore the paramount importance of preserving and augmenting TPEX cells to enhance persistence and therapeutic outcomes in ACT, particularly in CAR-T immunotherapy.
7.3. Cancer vaccination
Therapeutic vaccination targeting either shared tumor antigens or patient-specific neoantigen (neoAg) pools represents a promising strategy to activate antitumor T cell immunity (149, 150). Leading vaccination approaches aim to harness the self-renewal capacity, long-term persistence, and multilineage differentiation function of TPEX cells through targeting of common tumor antigens or individualized neoAg (150, 151). Preclinical studies demonstrate that the efficacy of therapeutic vaccination depends critically on TPEX cells; thus, enriching these populations during vaccination could theoretically enhance antitumor responses (22, 152). While vaccines initiate de novo T cell responses against tumors, functional exhaustion may limit their activity. Consequently, many clinical vaccine trials employ combinatorial approaches with ICB (153).
Accordingly, vaccines specifically designed to induce TPEX cell populations have been developed and show potent synergy with ICB in tumor models (154, 155). Although clinical outcomes from tumor vaccine trials have yielded inconsistent results, expanding TPEX cells represents a key consideration for improving future vaccine efficacy.
7.4. Clinical translation: challenges and future directions
While the pivotal role of TPEX cells in immunotherapy efficacy is well-established preclinically, translating these insights into clinical practice faces several challenges and opportunities.
7.4.1. Operationalizing stem-like T cells as predictive biomarkers
The development of TPEX cell abundance as a clinically useful biomarker requires standardized and feasible measurement protocols. Critical considerations include sampling source, assay methodology, and temporal dynamics.
Tissue-based assessment: Direct measurement in the TME via multiplex immunofluorescence (e.g., co-detection of TCF1+ PD-1+ TIM-3− cells in FFPE samples), scRNA seq, or spatial transcriptomics provides the most relevant data. Clinical studies across melanoma (20, 22), HNSCC (156), and hepatocellular carcinoma (128) have correlated higher intratumoral TPEX cell frequencies with improved PFS following ICB treatment. However, TPEX cell abundance alone may be insufficient as a prognostic marker of therapy response because responsiveness may require the presence of both TPEX cells and niches permissive for their differentiation, such as TLS and APC niche. Consistent with this idea, TPEX cell supportive niches are enriched in tumors of patients with beneficial therapeutic responses (15, 49, 127–129).
Blood-based monitoring: Peripheral blood analysis offers a minimally invasive alternative for dynamic monitoring. Preclinical studies indicate TPEX cells are activated during the early phase of antitumor immune responses and predominantly reside in the TDLN, and these T cells subsequently traffic into the TME via tumor-associated high endothelial cells to exert their function (2, 65, 157). Several clinical studies have shown that peripheral T cell expansion predicts tumor infiltration and clinical response (158, 159). Their expansion in circulation has been observed following combination therapies [e.g., CD122-directed IL-2 with radiotherapy/anti-PD1 (72)]. In patients with advanced NSCLC, a higher frequency of circulating TPEX cells was associated with improved survival (160). Techniques such as multiplexed flow cytometry and TCR sequencing enable tracking of these populations over time.
Timing of assessment: Biomarker utility likely depends on the timepoint of evaluation. The examination of TPEX cells may be most informative at baseline (predictive of response) and early during treatment (pharmacodynamic indicator of TPEX cell expansion). Post-treatment sampling could inform the durability of response. Overall, it is a critical need for longitudinal tracking through serial sampling (tissue or blood), which is essential to understand clonal dynamics and functional evolution throughout treatment and disease progression.
7.4.2. Implications for treatment sequencing and rational combinations
The central role of TPEX cells informs rational therapeutic design. Treatment sequencing is critical. Modalities designed to expand or generate TPEX pools (e.g., certain vaccines or epigenetic modulators) could be deployed prior to or alongside ICB to “prime” the responsive reservoir. Conversely, for patients progressing on ICIs, strategies to replenish the TPEX compartment (e.g., ACT with stem-like phenotypes) may be necessary.
In addition, given the complexity of sustaining an effective T cell response, combination strategies targeting multiple nodes are promising and more likely to yield durable benefits. These include combining ICB to initiate TPEX proliferation with: agents that foster supportive niches (e.g., VEGF inhibitors for vascular normalization), epigenetic modulators to reinforce stemness programs (29), engineering approaches (e.g., next-generation CAR-T designs) to confer exhaustion resistance (161, 162), metabolic interventions to enhance mitochondrial fitness (39), and so on. Notably, TPEX profiling before and during treatment could guide patient selection, ensuring that these combination strategies are applied to individuals most likely to benefit.
7.4.3. Caveats in extrapolating from murine models to human cancers
While indispensable for mechanistic discovery, key limitations exist when extrapolating from murine models to human cancers. Laboratory models often employ defined antigens and rapid tumor growth, potentially oversimplifying the chronicity and antigen heterogeneity characteristic of human disease. Furthermore, the human TME exhibits greater cellular and spatial complexity, and the endogenous T cell repertoire is far more diverse than the restricted repertoires typical in mouse studies.
Therefore, while murine models robustly elucidate fundamental principles, quantitative predictions (e.g., required TPEX frequency for response) and therapeutic efficacy of specific interventions must be rigorously validated in human clinical trials and through studies using patient-derived models.
8. Conclusions
In conclusion, TPEX cells are conclusively demonstrated as central mediators of antitumor immunotherapies, for their progenitor-like properties of self-renewal, differentiation plasticity, and long-term persistence. Their presence critically determines therapeutic outcomes across ICB, ACT, and cancer vaccination. Future research may prioritize strategies preserving TPEX functionality, engineering supportive microenvironments, and leveraging TPEX-associated signatures for biomarker development. Ultimately, targeting TPEX cells represents a promising paradigm shift to overcome immunotherapy resistance and achieve sustained clinical responses.
Glossary
- ACT
Adoptive cell therapy
- APC
Antigen-presenting cell
- BCL
B-cell lymphoma
- Blimp1
B-lymphocyte-induced maturation protein 1
- CAR-T
Chimeric Antigen Receptor T-Cell Immunotherapy
- CCL
C-C chemokine ligand
- CCR
C-C chemokine receptor 7
- cGAS–STING
Cyclic GMP-AMP synthase–Stimulator of interferon genes pathway
- CXCL
C-X-C chemokine ligand
- CXCR
C-X-C chemokine receptor
- DAMPs
Damage-associated molecular patterns
- DNMT
DNA methyltransferases
- FAO
fatty acid oxidation
- FOXO1
Forkhead box O1
- GZMB
Granzyme B
- HK2
hexokinase 2
- HNSCC
Head and neck squamous-cell carcinoma
- ICB
Immune checkpoint blockade
- IFN
Interferon
- IL
Interleukin
- Il7rα
Interleukin 7 receptor subunit alpha
- IRF
Interferon regulatory factor
- LAG3
Lymphocyte-activation gene 3
- LCMV
Lymphocytic choriomeningitis virus
- LEF1
lymphoid enhancer binding factor 1
- LSD1
Lysine Specific Demethylase 1
- MPECs
Memory precursor effector cells
- mDCs
Migratory dendritic cells
- NFAT
Nuclear Factor of Activated T-Cells
- NSCLC
Non-small-cell lung cancer
- OXPHOS
Oxidative phosphorylation
- PFS
Progression-free survival
- S1P
Sphingosine-1-phosphate
- scRNA-seq
Single-cell RNA sequencing
- Sell
L-selectin
- SLECs
Short-lived effector cells
- SRC
Spare respiratory capacity
- STAT5
Signal Transducer and Activator of Transcription 5
- T-bet
T box expressed in T cell
- TCF1
Transcription factor 1
- TCR
T cell receptor
- TCZ
T cell zone
- TDLN
Tumor-draining lymph nodes
- TEEF
Effector-like exhausted T
- TIM3
T cell immunoglobulin and mucin domain-containing protein3
- TINT
Intermediate exhausted T
- TLS
Tertiary lymphoid structures
- TME
Tumor microenvironment
- TPEX
Progenitor or precursor of exhausted T
- TSL
Stem-like T
- TTEX
Terminally differentiated exhausted T
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Original Exploration Program of National Natural Science Foundation of China (No. 82350128), the 1·3·5 Project for Disciplines of Excellence, West China Hospital, Sichuan University (No. ZYJC21003) and the National Natural Science Foundation of China (No. 82303694).
Footnotes
Edited by: Wenxue Ma, University of California, San Diego, United States
Reviewed by: Pritam Sadhukhan, National Institutes of Health (NIH), United States
Ryma Toumi, Seattle Children’s Research Institute, United States
Author contributions
HW: Writing – review & editing, Writing – original draft. ZY: Writing – review & editing. RL: Writing – review & editing. KK: Writing – review & editing. FN: Writing – review & editing, Conceptualization, Investigation. YL: Conceptualization, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
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References
- 1. Sharma P, Allison JP. Dissecting the mechanisms of immune checkpoint therapy. Nat Rev Immunol. (2020) 20:75–6. doi: 10.1038/s41577-020-0275-8, PMID: [DOI] [PubMed] [Google Scholar]
- 2. Gebhardt T, Park SL, Parish IA. Stem-like exhausted and memory CD8(+) T cells in cancer. Nat Rev Cancer. (2023) 23:780–98. doi: 10.1038/s41568-023-00615-0, PMID: [DOI] [PubMed] [Google Scholar]
- 3. Bruni D, Angell HK, Galon J. The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy. Nat Rev Cancer. (2020) 20:662–80. doi: 10.1038/s41568-020-0285-7, PMID: [DOI] [PubMed] [Google Scholar]
- 4. Masopust D, Awasthi A, Bosselut R, Brooks DG, Buggert M, Chamoto K, et al. Guidelines for T cell nomenclature. Nat Rev Immunol. (2025). doi: 10.1038/s41577-025-01238-2, PMID: [DOI] [PubMed] [Google Scholar]
- 5. Chen Z, Zhu Z, Hu T, Yao C, Wu T. Regulation of T cell exhaustion and stemness: molecular mechanisms and implications for cancer immunotherapy. Cell Mol Immunol. (2026) 23:1–14. doi: 10.1038/s41423-025-01378-4, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Lucas ED, Huggins MA, Peng C, O’Connor C, Gress AR, Thefaine CE, et al. Circulating KLRG1(+) long-lived effector memory T cells retain the flexibility to become tissue resident. Sci Immunol. (2024) 9:eadj8356. doi: 10.1126/sciimmunol.adj8356, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Wherry EJ, Ha SJ, Kaech SM, Haining WN, Sarkar S, Kalia V, et al. Molecular signature of CD8+ T cell exhaustion during chronic viral infection. Immunity. (2007) 27:670–84. doi: 10.1016/j.immuni.2007.09.006, PMID: [DOI] [PubMed] [Google Scholar]
- 8. Wherry EJ, Ahmed R. Memory CD8 T-cell differentiation during viral infection. J virology. (2004) 78:5535–45. doi: 10.1128/JVI.78.11.5535-5545.2004, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Guo X, Ma S, Wang J, Fu Y, Ma W. Terminally exhausted CD8(+) T cells in solid tumors: biology, biomarker potential and translational tools for precision oncology. Front Immunol. (2025) 16:1709852. doi: 10.3389/fimmu.2025.1709852, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Barber DL, Wherry EJ, Masopust D, Zhu B, Allison JP, Sharpe AH, et al. Restoring function in exhausted CD8 T cells during chronic viral infection. Nature. (2006) 439:682–7. doi: 10.1038/nature04444, PMID: [DOI] [PubMed] [Google Scholar]
- 11. Pauken KE, Sammons MA, Odorizzi PM, Manne S, Godec J, Khan O, et al. Epigenetic stability of exhausted T cells limits durability of reinvigoration by PD-1 blockade. Sci (New York NY). (2016) 354:1160–5. doi: 10.1126/science.aaf2807, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Im SJ, Hashimoto M, Gerner MY, Lee J, Kissick HT, Burger MC, et al. Defining CD8+ T cells that provide the proliferative burst after PD-1 therapy. Nature. (2016) 537:417–21. doi: 10.1038/nature19330, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Steiner C, Denlinger N, Huang X, Yang Y. Stem-like CD8(+) T cells in cancer. Front Immunol. (2024) 15:1426418. doi: 10.3389/fimmu.2024.1426418, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Zehn D, Thimme R, Lugli E, de Almeida GP, Oxenius A. ‘Stem-like’ precursors are the fount to sustain persistent CD8(+) T cell responses. Nat Immunol. (2022) 23:836–47. doi: 10.1038/s41590-022-01219-w, PMID: [DOI] [PubMed] [Google Scholar]
- 15. Jansen CS, Prokhnevska N, Master VA, Sanda MG, Carlisle JW, Bilen MA, et al. An intra-tumoral niche maintains and differentiates stem-like CD8 T cells. Nature. (2019) 576:465–70. doi: 10.1038/s41586-019-1836-5, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Huang Q, Wu X, Wang Z, Chen X, Wang L, Lu Y, et al. The primordial differentiation of tumor-specific memory CD8(+) T cells as bona fide responders to PD-1/PD-L1 blockade in draining lymph nodes. Cell. (2022) 185:4049–66.e25. doi: 10.1016/j.cell.2022.09.020, PMID: [DOI] [PubMed] [Google Scholar]
- 17. Beltra JC, Manne S, Abdel-Hakeem MS, Kurachi M, Giles JR, Chen Z, et al. Developmental relationships of four exhausted CD8(+) T cell subsets reveals underlying transcriptional and epigenetic landscape control mechanisms. Immunity. (2020) 52:825–41.e8. doi: 10.1016/j.immuni.2020.04.014, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Giles JR, Ngiow SF, Manne S, Baxter AE, Khan O, Wang P, et al. Shared and distinct biological circuits in effector, memory and exhausted CD8(+) T cells revealed by temporal single-cell transcriptomics and epigenetics. Nat Immunol. (2022) 23:1600–13. doi: 10.1038/s41590-022-01338-4, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Yao L, Jia G, Lu L, Bao Y, Ma W. Factors affecting tumor responders and predictive biomarkers of toxicities in cancer patients treated with immune checkpoint inhibitors. Int immunopharmacology. (2020) 85:106628. doi: 10.1016/j.intimp.2020.106628, PMID: [DOI] [PubMed] [Google Scholar]
- 20. Sade-Feldman M, Yizhak K, Bjorgaard SL, Ray JP, de Boer CG, Jenkins RW, et al. Defining T cell states associated with response to checkpoint immunotherapy in melanoma. Cell. (2018) 175:998–1013.e20. doi: 10.1016/j.cell.2018.10.038, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Rausch L, Kallies A. Molecular mechanisms governing CD8 T cell differentiation and checkpoint inhibitor response in cancer. Annu Rev Immunol. (2025) 43:515–43. doi: 10.1146/annurev-immunol-082223-044122, PMID: [DOI] [PubMed] [Google Scholar]
- 22. Siddiqui I, Schaeuble K, Chennupati V, Fuertes Marraco SA, Calderon-Copete S, Pais Ferreira D, et al. Intratumoral tcf1(+)PD-1(+)CD8(+) T cells with stem-like properties promote tumor control in response to vaccination and checkpoint blockade immunotherapy. Immunity. (2019) 50:195–211.e10. doi: 10.1016/j.immuni.2018.12.021, PMID: [DOI] [PubMed] [Google Scholar]
- 23. Gill AL, Wang PH, Lee J, Hudson WH, Ando S, Araki K, et al. PD-1 blockade increases the self-renewal of stem-like CD8 T cells to compensate for their accelerated differentiation into effectors. Sci Immunol. (2023) 8:eadg0539. doi: 10.1126/sciimmunol.adg0539, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. McManus DT, Valanparambil RM, Medina CB, Scharer CD, McGuire DJ, Sobierajska E, et al. An early precursor CD8(+) T cell that adapts to acute or chronic viral infection. Nature. (2025) 640:772–81. doi: 10.1038/s41586-024-08562-y, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Zhang Y, Joe G, Hexner E, Zhu J, Emerson SG. Host-reactive CD8+ memory stem cells in graft-versus-host disease. Nat Med. (2005) 11:1299–305. doi: 10.1038/nm1326, PMID: [DOI] [PubMed] [Google Scholar]
- 26. Sen DR, Kaminski J, Barnitz RA, Kurachi M, Gerdemann U, Yates KB, et al. The epigenetic landscape of T cell exhaustion. Sci (New York NY). (2016) 354:1165–9. doi: 10.1126/science.aae0491, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Meyran D, Zhu JJ, Butler J, Tantalo D, MacDonald S, Nguyen TN, et al. T(STEM)-like CAR-T cells exhibit improved persistence and tumor control compared with conventional CAR-T cells in preclinical models. Sci Trans Med. (2023) 15:eabk1900. doi: 10.1126/scitranslmed.abk1900, PMID: [DOI] [PubMed] [Google Scholar]
- 28. Kang TG, Lan X, Mi T, Chen H, Alli S, Lim SE, et al. Epigenetic regulators of clonal hematopoiesis control CD8 T cell stemness during immunotherapy. Sci (New York NY). (2024) 386:eadl4492. doi: 10.1126/science.adl4492, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. An Y, Wang Q, Gao K, Zhang C, Ouyang Y, Li R, et al. Epigenetic regulation of aging and its rejuvenation. MedComm. (2025) 6:e70369. doi: 10.1002/mco2.70369, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Kurtulus S, Madi A, Escobar G, Klapholz M, Nyman J, Christian E, et al. Checkpoint blockade immunotherapy induces dynamic changes in PD-1(-)CD8(+) tumor-infiltrating T cells. Immunity. (2019) 50:181–94.e6. doi: 10.1016/j.immuni.2018.11.014, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Escobar G, Mangani D, Anderson AC. T cell factor 1: A master regulator of the T cell response in disease. Sci Immunol. (2020) 5:eabb9726. doi: 10.1126/sciimmunol.abb9726, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Wang J, Yan R, Jia D, Chen S. Reprogramming T cell stemness against cancer. Trends cancer. (2026) 12:68–79. doi: 10.1016/j.trecan.2025.09.004, PMID: [DOI] [PubMed] [Google Scholar]
- 33. Beltra JC, Abdel-Hakeem MS, Manne S, Zhang Z, Huang H, Kurachi M, et al. Stat5 opposes the transcription factor Tox and rewires exhausted CD8(+) T cells toward durable effector-like states during chronic antigen exposure. Immunity. (2023) 56:2699–718.e11. doi: 10.1016/j.immuni.2023.11.005, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Cabrita R, Lauss M, Sanna A, Donia M, Skaarup Larsen M, Mitra S, et al. Tertiary lymphoid structures improve immunotherapy and survival in melanoma. Nature. (2020) 577:561–5. doi: 10.1038/s41586-019-1914-8, PMID: [DOI] [PubMed] [Google Scholar]
- 35. Schnell A. Stem-like T cells in cancer and autoimmunity. Immunol Rev. (2024) 325:9–22. doi: 10.1111/imr.13356, PMID: [DOI] [PubMed] [Google Scholar]
- 36. Connolly KA, Kuchroo M, Venkat A, Khatun A, Wang J, William I, et al. A reservoir of stem-like CD8(+) T cells in the tumor-draining lymph node preserves the ongoing antitumor immune response. Sci Immunol. (2021) 6:eabg7836. doi: 10.1126/sciimmunol.abg7836, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Schenkel JM, Herbst RH, Canner D, Li A, Hillman M, Shanahan SL, et al. Conventional type I dendritic cells maintain a reservoir of proliferative tumor-antigen specific TCF-1(+) CD8(+) T cells in tumor-draining lymph nodes. Immunity. (2021) 54:2338–53.e6. doi: 10.1016/j.immuni.2021.08.026, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Chapman NM, Boothby MR, Chi H. Metabolic coordination of T cell quiescence and activation. Nat Rev Immunol. (2020) 20:55–70. doi: 10.1038/s41577-019-0203-y, PMID: [DOI] [PubMed] [Google Scholar]
- 39. Guo Y, Xie YQ, Gao M, Zhao Y, Franco F, Wenes M, et al. Metabolic reprogramming of terminally exhausted CD8(+) T cells by IL-10 enhances anti-tumor immunity. Nat Immunol. (2021) 22:746–56. doi: 10.1038/s41590-021-00940-2, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Franco F, Jaccard A, Romero P, Yu YR, Ho PC. Metabolic and epigenetic regulation of T-cell exhaustion. Nat Metab. (2020) 2:1001–12. doi: 10.1038/s42255-020-00280-9, PMID: [DOI] [PubMed] [Google Scholar]
- 41. Cheng H, Qiu Y, Xu Y, Chen L, Ma K, Tao M, et al. Extracellular acidosis restricts one-carbon metabolism and preserves T cell stemness. Nat Metab. (2023) 5:314–30. doi: 10.1038/s42255-022-00730-6, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Li F, Feng Y, Yin Z, Wang Y. Mitochondrial metabolism in T-cell exhaustion. Int J Mol Sci. (2025) 26:7400. doi: 10.3390/ijms26157400, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Chen JH, Nieman LT, Spurrell M, Jorgji V, Elmelech L, Richieri P, et al. Human lung cancer harbors spatially organized stem-immunity hubs associated with response to immunotherapy. Nat Immunol. (2024) 25:644–58. doi: 10.1038/s41590-024-01792-2, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Pittet MJ, Di Pilato M, Garris C, Mempel TR. Dendritic cells as shepherds of T cell immunity in cancer. Immunity. (2023) 56:2218–30. doi: 10.1016/j.immuni.2023.08.014, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Xie Z, Fang Y, Zhang X, Fang Y, Li R, Guo Y, et al. The emerging role of dendritic cells in the tumor microenvironment: from antigen presentation to targeted immunotherapy. Cell Death disease. (2025) 16:900. doi: 10.1038/s41419-025-08180-0, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Peng Q, Qiu X, Zhang Z, Zhang S, Zhang Y, Liang Y, et al. PD-L1 on dendritic cells attenuates T cell activation and regulates response to immune checkpoint blockade. Nat Commun. (2020) 11:4835. doi: 10.1038/s41467-020-18570-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Oh SA, Wu DC, Cheung J, Navarro A, Xiong H, Cubas R, et al. PD-L1 expression by dendritic cells is a key regulator of T-cell immunity in cancer. Nat cancer. (2020) 1:681–91. doi: 10.1038/s43018-020-0075-x, PMID: [DOI] [PubMed] [Google Scholar]
- 48. Hui E, Cheung J, Zhu J, Su X, Taylor MJ, Wallweber HA, et al. T cell costimulatory receptor CD28 is a primary target for PD-1-mediated inhibition. Sci (New York NY). (2017) 355:1428–33. doi: 10.1126/science.aaf1292, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Meiser P, Knolle MA, Hirschberger A, de Almeida GP, Bayerl F, Lacher S, et al. A distinct stimulatory cDC1 subpopulation amplifies CD8(+) T cell responses in tumors for protective anti-cancer immunity. Cancer Cell. (2023) 41:1498–515.e10. doi: 10.1016/j.ccell.2023.06.008, PMID: [DOI] [PubMed] [Google Scholar]
- 50. Stoltzfus CR, Sivakumar R, Kunz L, Olin Pope BE, Menietti E, Speziale D, et al. Multi-parameter quantitative imaging of tumor microenvironments reveals perivascular immune niches associated with anti-tumor immunity. Front Immunol. (2021) 12:726492. doi: 10.3389/fimmu.2021.726492, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Schumacher TN, Thommen DS. Tertiary lymphoid structures in cancer. Sci (New York NY). (2022) 375:eabf9419. doi: 10.1126/science.abf9419, PMID: [DOI] [PubMed] [Google Scholar]
- 52. Tooley KA, Escobar G, Anderson AC. Spatial determinants of CD8(+) T cell differentiation in cancer. Trends cancer. (2022) 8:642–54. doi: 10.1016/j.trecan.2022.04.003, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Shu DH, Ho WJ, Kagohara LT, Girgis A, Shin SM, Danilova L, et al. Immunotherapy response induces divergent tertiary lymphoid structure morphologies in hepatocellular carcinoma. Nat Immunol. (2024) 25:2110–23. doi: 10.1038/s41590-024-01992-w, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54. Im SJ, Obeng RC, Nasti TH, McManus D, Kamphorst AO, Gunisetty S, et al. Characteristics and anatomic location of PD-1(+)TCF1(+) stem-like CD8 T cells in chronic viral infection and cancer. Proc Natl Acad Sci U S A. (2023) 120:e2221985120. doi: 10.1073/pnas.2221985120, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Broz ML, Binnewies M, Boldajipour B, Nelson AE, Pollack JL, Erle DJ, et al. Dissecting the tumor myeloid compartment reveals rare activating antigen-presenting cells critical for T cell immunity. Cancer Cell. (2014) 26:638–52. doi: 10.1016/j.ccell.2014.09.007, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Tonnerre P, Wolski D, Subudhi S, Aljabban J, Hoogeveen RC, Damasio M, et al. Differentiation of exhausted CD8(+) T cells after termination of chronic antigen stimulation stops short of achieving functional T cell memory. Nat Immunol. (2021) 22:1030–41. doi: 10.1038/s41590-021-00982-6, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Baessler A, Vignali DAA. T cell exhaustion. Annu Rev Immunol. (2024) 42:179–206. doi: 10.1146/annurev-immunol-090222-110914, PMID: [DOI] [PubMed] [Google Scholar]
- 58. Philip M, Schietinger A. CD8(+) T cell differentiation and dysfunction in cancer. Nat Rev Immunol. (2022) 22:209–23. doi: 10.1038/s41577-021-00574-3, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Hor JL, Schrom EC, Wong-Rolle A, Vistain L, Shang W, Dong Q, et al. Inhibitory PD-1 axis maintains high-avidity stem-like CD8(+) T cells. Nature. (2026) 649:194–204. doi: 10.1038/s41586-025-09440-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Li H, van der Leun AM, Yofe I, Lubling Y, Gelbard-Solodkin D, van Akkooi ACJ, et al. Dysfunctional CD8 T cells form a proliferative, dynamically regulated compartment within human melanoma. Cell. (2019) 176:775–89.e18. doi: 10.1016/j.cell.2018.11.043, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Simoni Y, Becht E, Fehlings M, Loh CY, Koo SL, Teng KWW, et al. Bystander CD8(+) T cells are abundant and phenotypically distinct in human tumour infiltrates. Nature. (2018) 557:575–9. doi: 10.1038/s41586-018-0130-2, PMID: [DOI] [PubMed] [Google Scholar]
- 62. Yost KE, Chang HY, Satpathy AT. Recruiting T cells in cancer immunotherapy. Sci (New York NY). (2021) 372:130–1. doi: 10.1126/science.abd1329, PMID: [DOI] [PubMed] [Google Scholar]
- 63. Dammeijer F, van Gulijk M, Mulder EE, Lukkes M, Klaase L, van den Bosch T, et al. The PD-1/PD-L1-checkpoint restrains T cell immunity in tumor-draining lymph nodes. Cancer Cell. (2020) 38:685–700.e8. doi: 10.1016/j.ccell.2020.09.001, PMID: [DOI] [PubMed] [Google Scholar]
- 64. Li Z, Tuong ZK, Dean I, Willis C, Gaspal F, Fiancette R, et al. In vivo labeling reveals continuous trafficking of TCF-1+ T cells between tumor and lymphoid tissue. J Exp Med. (2022) 219:e20210749. doi: 10.1084/jem.20210749, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Prokhnevska N, Cardenas MA, Valanparambil RM, Sobierajska E, Barwick BG, Jansen C, et al. CD8(+) T cell activation in cancer comprises an initial activation phase in lymph nodes followed by effector differentiation within the tumor. Immunity. (2023) 56:107–24.e5. doi: 10.1016/j.immuni.2022.12.002, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Lin S, Niu H, Zhang Y, Gai K, Brown R, Brown A, et al. SATB1 is a key regulator of quiescence in stem-like CD8(+) T cells. Nat Immunol. (2025) 26:1737–51. doi: 10.1038/s41590-025-02257-w, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67. Wijesinghe SKM, Rausch L, Gabriel SS, Galletti G, De Luca M, Qin L, et al. Lymph-node-derived stem-like but not tumor-tissue-resident CD8(+) T cells fuel anticancer immunity. Nat Immunol. (2025) 26:1367–83. doi: 10.1038/s41590-025-02219-2, PMID: [DOI] [PubMed] [Google Scholar]
- 68. Wang XQ, Danenberg E, Huang CS, Egle D, Callari M, Bermejo B, et al. Spatial predictors of immunotherapy response in triple-negative breast cancer. Nature. (2023) 621:868–76. doi: 10.1038/s41586-023-06498-3, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Førde D, Kilvær T, Pedersen MI, Blix ES, Urbarova I, Paulsen EE, et al. High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC. Front Immunol. (2024) 15:1504220. doi: 10.3389/fimmu.2024.1504220, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70. Wang H, Yao Z, Kang K, Zhou L, Xiu W, Sun J, et al. Preclinical study and phase II trial of adapting low-dose radiotherapy to immunotherapy in small cell lung cancer. Med (New York NY). (2024) 5:1237–54.e9. doi: 10.1016/j.medj.2024.06.002, PMID: [DOI] [PubMed] [Google Scholar]
- 71. Lin G, Yao Z, Kang K, Luo R, Yi L, Lu Y. Dynamic evolution and antitumor mechanisms of CXCR6(+)CD8(+) T cells in small cell lung cancer treated with low-dose radiotherapy and immunotherapy. J Trans Med. (2025) 23:453. doi: 10.1186/s12967-025-06450-1, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Onyshchenko K, Luo R, Guffart E, Gaedicke S, Grosu AL, Firat E, et al. Expansion of circulating stem-like CD8(+) T cells by adding CD122-directed IL-2 complexes to radiation and anti-PD1 therapies in mice. Nat Commun. (2023) 14:2087. doi: 10.1038/s41467-023-37825-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Roberts EW, Broz ML, Binnewies M, Headley MB, Nelson AE, Wolf DM, et al. Critical role for CD103(+)/CD141(+) dendritic cells bearing CCR7 for tumor antigen trafficking and priming of T cell immunity in melanoma. Cancer Cell. (2016) 30:324–36. doi: 10.1016/j.ccell.2016.06.003, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Zhao X, Shan Q, Xue HH. TCF1 in T cell immunity: a broadened frontier. Nat Rev Immunol. (2022) 22:147–57. doi: 10.1038/s41577-021-00563-6, PMID: [DOI] [PubMed] [Google Scholar]
- 75. Sun Q, Cai D, Liu D, Zhao X, Li R, Xu W, et al. BCL6 promotes a stem-like CD8(+) T cell program in cancer via antagonizing BLIMP1. Sci Immunol. (2023) 8:eadh1306. doi: 10.1126/sciimmunol.adh1306, PMID: [DOI] [PubMed] [Google Scholar]
- 76. Luan F, Li Y, Ning J, Tran JT, Blane TR, Bhargava R, et al. Loss of Bcl6 promotes antitumor immunity by activating glycolysis to rescue CD8 T-cell function. Life Sci alliance. (2026) 9:e202503335. doi: 10.26508/lsa.202503335, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Gago da Graça C, Sheikh AA, Newman DM, Wen L, Li S, Shen J, et al. Stem-like memory and precursors of exhausted T cells share a common progenitor defined by ID3 expression. Sci Immunol. (2025) 10:eadn1945. doi: 10.1126/sciimmunol.adn1945, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Ran L, Yue Z, Ran M, Liu Q, Su X, Wang L, et al. The transcription regulator ID3 maintains tumor-specific memory CD8(+) T cells in draining lymph nodes during tumorigenesis. Cell Rep. (2024) 43:114690. doi: 10.1016/j.celrep.2024.114690, PMID: [DOI] [PubMed] [Google Scholar]
- 79. Doan AE, Mueller KP, Chen AY, Rouin GT, Chen Y, Daniel B, et al. FOXO1 is a master regulator of memory programming in CAR T cells. Nature. (2024) 629:211–8. doi: 10.1038/s41586-024-07300-8, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Ginefra P, Hope HC, Chiang YH, Nutten S, Blum S, Coukos G, et al. Urolithin-A promotes CD8+ T cell-mediated cancer immunosurveillance via FOXO1 activation. Cancer Res Commun. (2024) 4:1189–98. doi: 10.1158/2767-9764.CRC-24-0022, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81. Chan JD, Scheffler CM, Munoz I, Sek K, Lee JN, Huang YK, et al. FOXO1 enhances CAR T cell stemness, metabolic fitness and efficacy. Nature. (2024) 629:201–10. doi: 10.1038/s41586-024-07242-1, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Ruan X, Wu L, Tang Z, Li Y, Wang J, Jiang H, et al. Two chemotherapeutic agents expand stem-like CD62L(+)CD8(+) T cells in antitumor immune responses. Front Immunol. (2025) 16:1533857. doi: 10.3389/fimmu.2025.1533857, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Bisia AM, Xypolita ME, Bikoff EK, Robertson EJ, Costello I. Eomesodermin in conjunction with the BAF complex promotes expansion and invasion of the trophectoderm lineage. Nat Commun. (2025) 16:5079. doi: 10.1038/s41467-025-60417-w, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Oestreich KJ, Read KA, Gilbertson SE, Hough KP, McDonald PW, Krishnamoorthy V, et al. Bcl-6 directly represses the gene program of the glycolysis pathway. Nat Immunol. (2014) 15:957–64. doi: 10.1038/ni.2985, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85. Escobar G, Tooley K, Oliveras JP, Huang L, Cheng H, Bookstaver ML, et al. Tumor immunogenicity dictates reliance on TCF1 in CD8(+) T cells for response to immunotherapy. Cancer Cell. (2023) 41:1662–79.e7. doi: 10.1016/j.ccell.2023.08.001, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86. Jin Y, Hu P, Sun H, Yang C, Zhai J, Wang Y, et al. Expression of Id3 represses exhaustion of anti-tumor CD8 T cells in liver cancer. Mol Immunol. (2022) 144:117–26. doi: 10.1016/j.molimm.2022.02.005, PMID: [DOI] [PubMed] [Google Scholar]
- 87. Anadon CM, Yu X, Hänggi K, Biswas S, Chaurio RA, Martin A, et al. Ovarian cancer immunogenicity is governed by a narrow subset of progenitor tissue-resident memory T cells. Cancer Cell. (2022) 40:545–57.e13. doi: 10.1016/j.ccell.2022.03.008, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88. Gautam S, Fioravanti J, Zhu W, Le Gall JB, Brohawn P, Lacey NE, et al. The transcription factor c-Myb regulates CD8(+) T cell stemness and antitumor immunity. Nat Immunol. (2019) 20:337–49. doi: 10.1038/s41590-018-0311-z, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89. Tsui C, Kretschmer L, Rapelius S, Gabriel SS, Chisanga D, Knöpper K, et al. MYB orchestrates T cell exhaustion and response to checkpoint inhibition. Nature. (2022) 609:354–60. doi: 10.1038/s41586-022-05105-1, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Jung IY, Narayan V, McDonald S, Rech AJ, Bartoszek R, Hong G, et al. BLIMP1 and NR4A3 transcription factors reciprocally regulate antitumor CAR T cell stemness and exhaustion. Sci Trans Med. (2022) 14:eabn7336. doi: 10.1126/scitranslmed.abn7336, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Murphy MK, McCullen M, Deffenbaugh JL, Chen AY, Pai J, Daniel B, et al. The transcriptional repressor BLIMP1 enforces TCF-1-dependent and -independent restriction of the memory fate of CD8(+) T cells. Immunity. (2025) 58:2472–88.e9. doi: 10.1016/j.immuni.2025.09.008, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Romine KA, MacPherson K, Cho HJ, Kosaka Y, Flynn PA, Byrd KH, et al. BET inhibitors rescue anti-PD1 resistance by enhancing TCF7 accessibility in leukemia-derived terminally exhausted CD8(+) T cells. Leukemia. (2023) 37:580–92. doi: 10.1038/s41375-023-01808-0, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93. Chen Y, Zander RA, Wu X, Schauder DM, Kasmani MY, Shen J, et al. BATF regulates progenitor to cytolytic effector CD8(+) T cell transition during chronic viral infection. Nat Immunol. (2021) 22:996–1007. doi: 10.1038/s41590-021-00965-7, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94. Arcia-Anaya D, Elliott T. STAT5A antagonizes TOX in CD8(+) T cell exhaustion. Nat Rev Immunol. (2023) 23:73. doi: 10.1038/s41577-022-00833-x, PMID: [DOI] [PubMed] [Google Scholar]
- 95. Ngiow SF, Manne S, Huang YJ, Azar T, Chen Z, Mathew D, et al. LAG-3 sustains TOX expression and regulates the CD94/NKG2-Qa-1b axis to govern exhausted CD8 T cell NK receptor expression and cytotoxicity. Cell. (2024) 187:4336–54.e19. doi: 10.1016/j.cell.2024.07.018, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Seo H, Chen J, González-Avalos E, Samaniego-Castruita D, Das A, Wang YH, et al. TOX and TOX2 transcription factors cooperate with NR4A transcription factors to impose CD8(+) T cell exhaustion. Proc Natl Acad Sci U S A. (2019) 116:12410–5. doi: 10.1073/pnas.1905675116, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Kasmani MY, Zander R, Chung HK, Chen Y, Khatun A, Damo M, et al. Clonal lineage tracing reveals mechanisms skewing CD8+ T cell fate decisions in chronic infection. J Exp Med. (2023) 220:e20220679. doi: 10.1084/jem.20220679, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Milner JJ, Toma C, He Z, Kurd NS, Nguyen QP, McDonald B, et al. Heterogenous populations of tissue-resident CD8(+) T cells are generated in response to infection and Malignancy. Immunity. (2020) 52:808–24.e7. doi: 10.1016/j.immuni.2020.04.007, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Omilusik KD, Nadjsombati MS, Shaw LA, Yu B, Milner JJ, Goldrath AW. Sustained Id2 regulation of E proteins is required for terminal differentiation of effector CD8(+) T cells. J Exp Med. (2018) 215:773–83. doi: 10.1084/jem.20171584, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Jiao A, Sun C, Wang X, Lei L, Liu H, Li W, et al. DExD/H-box helicase 9 intrinsically controls CD8(+) T cell-mediated antiviral response through noncanonical mechanisms. Sci Adv. (2022) 8:eabk2691. doi: 10.1126/sciadv.abk2691, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Li Y, Han M, Wei H, Huang W, Chen Z, Zhang T, et al. Id2 epigenetically controls CD8(+) T-cell exhaustion by disrupting the assembly of the Tcf3-LSD1 complex. Cell Mol Immunol. (2024) 21:292–308. doi: 10.1038/s41423-023-01118-6, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102. Cieri N, Camisa B, Cocchiarella F, Forcato M, Oliveira G, Provasi E, et al. IL-7 and IL-15 instruct the generation of human memory stem T cells from naive precursors. Blood. (2013) 121:573–84. doi: 10.1182/blood-2012-05-431718, PMID: [DOI] [PubMed] [Google Scholar]
- 103. Marton C, Mercier-Letondal P, Galaine J, Godet Y. An unmet need: Harmonization of IL-7 and IL-15 combination for the ex vivo generation of minimally differentiated T cells. Cell Immunol. (2021) 363:104314. doi: 10.1016/j.cellimm.2021.104314, PMID: [DOI] [PubMed] [Google Scholar]
- 104. Shen J, Zou Z, Guo J, Cai Y, Xue D, Liang Y, et al. An engineered concealed IL-15-R elicits tumor-specific CD8+T cell responses through PD-1-cis delivery. J Exp Med. (2022) 219:e20220745. doi: 10.1084/jem.20220745, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Zhou J, Jin L, Wang F, Zhang Y, Liu B, Zhao T. Chimeric antigen receptor T (CAR-T) cells expanded with IL-7/IL-15 mediate superior antitumor effects. Protein Cell. (2019) 10:764–9. doi: 10.1007/s13238-019-0643-y, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106. Steffin D, Ghatwai N, Montalbano A, Rathi P, Courtney AN, Arnett AB, et al. Interleukin-15-armoured GPC3 CAR T cells for patients with solid cancers. Nature. (2025) 637:940–6. doi: 10.1038/s41586-024-08261-8, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Codarri Deak L, Nicolini V, Hashimoto M, Karagianni M, Schwalie PC, Lauener L, et al. PD-1-cis IL-2R agonism yields better effectors from stem-like CD8(+) T cells. Nature. (2022) 610:161–72. doi: 10.1038/s41586-022-05192-0, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108. Sawant DV, Yano H, Chikina M, Zhang Q, Liao M, Liu C, et al. Adaptive plasticity of IL-10(+) and IL-35(+) T(reg) cells cooperatively promotes tumor T cell exhaustion. Nat Immunol. (2019) 20:724–35. doi: 10.1038/s41590-019-0346-9, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Salkeni MA, Naing A. Interleukin-10 in cancer immunotherapy: from bench to bedside. Trends cancer. (2023) 9:716–25. doi: 10.1016/j.trecan.2023.05.003, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Naing A, Infante JR, Papadopoulos KP, Chan IH, Shen C, Ratti NP, et al. PEGylated IL-10 (Pegilodecakin) induces systemic immune activation, CD8(+) T cell invigoration and polyclonal T cell expansion in cancer patients. Cancer Cell. (2018) 34:775–91.e3. doi: 10.1016/j.ccell.2018.10.007, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Ouyang W, O’Garra A. IL-10 family cytokines IL-10 and IL-22: from basic science to clinical translation. Immunity. (2019) 50:871–91. doi: 10.1016/j.immuni.2019.03.020, PMID: [DOI] [PubMed] [Google Scholar]
- 112. Hu Y, Hudson WH, Kissick HT, Medina CB, Baptista AP, Ma C, et al. TGF-β regulates the stem-like state of PD-1+ TCF-1+ virus-specific CD8 T cells during chronic infection. J Exp Med. (2022) 219:e20211574. doi: 10.1084/jem.20211574, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113. Ma C, Wang L, Liao W, Liu Y, Mishra S, Li G, et al. TGF-β promotes stem-like T cells via enforcing their lymphoid tissue retention. J Exp Med. (2022) 219:e20211538. doi: 10.1084/jem.20211538, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Jung IY, Noguera-Ortega E, Bartoszek R, Collins SM, Williams E, Davis M, et al. Tissue-resident memory CAR T cells with stem-like characteristics display enhanced efficacy against solid and liquid tumors. Cell Rep Med. (2023) 4:101053. doi: 10.1016/j.xcrm.2023.101053, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Lukhele S, Rabbo DA, Guo M, Shen J, Elsaesser HJ, Quevedo R, et al. The transcription factor IRF2 drives interferon-mediated CD8(+) T cell exhaustion to restrict anti-tumor immunity. Immunity. (2022) 55:2369–85.e10. doi: 10.1016/j.immuni.2022.10.020, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116. Korman AJ, Garrett-Thomson SC, Lonberg N. The foundations of immune checkpoint blockade and the ipilimumab approval decennial. Nat Rev Drug discovery. (2022) 21:509–28. doi: 10.1038/s41573-021-00345-8, PMID: [DOI] [PubMed] [Google Scholar]
- 117. Wolchok JD, Chiarion-Sileni V, Rutkowski P, Cowey CL, SChadendorf D, Wagstaff J, et al. Final, 10-year outcomes with nivolumab plus ipilimumab in advanced melanoma. N Engl J Med. (2025) 392:11–22. doi: 10.1056/NEJMoa2407417, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118. Dvir K, Giordano S, Leone JP. Immunotherapy in breast cancer. Int J Mol Sci. (2024) 25:7517. doi: 10.3390/ijms25147517, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. Cheng W, Kang K, Zhao A, Wu Y. Dual blockade immunotherapy targeting PD-1/PD-L1 and CTLA-4 in lung cancer. J Hematol Oncol. (2024) 17:54. doi: 10.1186/s13045-024-01581-2, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Mukherji R, Debnath D, Hartley ML, Noel MS. The role of immunotherapy in pancreatic cancer. Curr Oncol (Toronto Ont). (2022) 29:6864–92. doi: 10.3390/curroncol29100541, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Kulkarni P, Do D, Shrestha S, Leach B, Salgia R. Cancer immunotherapy-an overview. Cancer Treat Res. (2025) 129:1–16. doi: 10.1007/978-3-031-97242-3_1, PMID: [DOI] [PubMed] [Google Scholar]
- 122. Xiong D, Zhang L, Sun ZJ. Targeting the epigenome to reinvigorate T cells for cancer immunotherapy. Military Med Res. (2023) 10:59. doi: 10.1186/s40779-023-00496-2, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Watowich MB, Gilbert MR, Larion M. T cell exhaustion in Malignant gliomas. Trends cancer. (2023) 9:270–92. doi: 10.1016/j.trecan.2022.12.008, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124. Yang MQ, Zhang SL, Sun L, Huang LT, Yu J, Zhang JH, et al. Targeting mitochondria: restoring the antitumor efficacy of exhausted T cells. Mol cancer. (2024) 23:260. doi: 10.1186/s12943-024-02175-9, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125. Ye L, Ryu H, Granadier D, Nguyen LT, Simoni Y, Dick I, et al. Stem-like exhausted CD8 T cells in pleural effusions predict improved survival in non-small cell lung cancer (NSCLC) and mesothelioma. Trans Lung Cancer Res. (2024) 13:2352–72. doi: 10.21037/tlcr-24-284, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Sang J, Liu P, Wang M, Xu F, Ma J, Wei Z, et al. Stem-like CD8 T cells in stage I lung adenocarcinoma as a prognostic biomarker: A preliminary study. J Cancer Res Ther. (2024) 20:669–77. doi: 10.4103/jcrt.jcrt_2453_23, PMID: [DOI] [PubMed] [Google Scholar]
- 127. Fridman WH, Meylan M, Petitprez F, Sun CM, Italiano A, Sautès-Fridman C. B cells and tertiary lymphoid structures as determinants of tumour immune contexture and clinical outcome. Nat Rev Clin Oncol. (2022) 19:441–57. doi: 10.1038/s41571-022-00619-z, PMID: [DOI] [PubMed] [Google Scholar]
- 128. Magen A, Hamon P, Fiaschi N, Soong BY, Park MD, Mattiuz R, et al. Intratumoral dendritic cell-CD4(+) T helper cell niches enable CD8(+) T cell differentiation following PD-1 blockade in hepatocellular carcinoma. Nat Med. (2023) 29:1389–99. doi: 10.1038/s41591-023-02345-0, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129. Li K, Tandurella JA, Gai J, Zhu Q, Lim SJ, Thomas DL, 2nd, et al. Multi-omic analyses of changes in the tumor microenvironment of pancreatic adenocarcinoma following neoadjuvant treatment with anti-PD-1 therapy. Cancer Cell. (2022) 40:1374–91.e7. doi: 10.1016/j.ccell.2022.10.001, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Formenti SC, Rudqvist NP, Golden E, Cooper B, Wennerberg E, Lhuillier C, et al. Radiotherapy induces responses of lung cancer to CTLA-4 blockade. Nat Med. (2018) 24:1845–51. doi: 10.1038/s41591-018-0232-2, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Zhu Z, Lou G, Teng XL, Wang H, Luo Y, Shi W, et al. FOXP1 and KLF2 reciprocally regulate checkpoints of stem-like to effector transition in CAR T cells. Nat Immunol. (2024) 25:117–28. doi: 10.1038/s41590-023-01685-w, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Ghoneim HE, Fan Y, Moustaki A, Abdelsamed HA, Dash P, Dogra P, et al. De novo epigenetic programs inhibit PD-1 blockade-mediated T cell rejuvenation. Cell. (2017) 170:142–57.e19. doi: 10.1016/j.cell.2017.06.007, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Liu Y, Debo B, Li M, Shi Z, Sheng W, Shi Y. LSD1 inhibition sustains T cell invigoration with a durable response to PD-1 blockade. Nat Commun. (2021) 12:6831. doi: 10.1038/s41467-021-27179-7, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134. Yan W, Qiu L, Yang M, Xu A, Ma M, Yuan Q, et al. CXCL10 mediates CD8(+) T cells to facilitate vessel normalization and improve the efficacy of cetuximab combined with PD-1 checkpoint inhibitors in colorectal cancer. Cancer letters. (2023) 567:216263. doi: 10.1016/j.canlet.2023.216263, PMID: [DOI] [PubMed] [Google Scholar]
- 135. Krishna S, Lowery FJ, Copeland AR, Bahadiroglu E, Mukherjee R, Jia L, et al. Stem-like CD8 T cells mediate response of adoptive cell immunotherapy against human cancer. Sci (New York NY). (2020) 370:1328–34. doi: 10.1126/science.abb9847, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136. Zhang Y, Su J. Interleukin-2 family cytokines: An overview of genes, expression, signaling and functional roles in teleost. Dev Comp Immunol. (2023) 141:104645. doi: 10.1016/j.dci.2023.104645, PMID: [DOI] [PubMed] [Google Scholar]
- 137. Jarjour NN, Dalzell TS, Maurice NJ, Wanhainen KM, Peng C, O’Flanagan SD, et al. Collaboration between interleukin-7 and -15 enables adaptation of tissue-resident and circulating memory CD8(+) T cells to cytokine deficiency. Immunity. (2025) 58:616–31.e5. doi: 10.1016/j.immuni.2025.02.009, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138. Zhu W, Zhang Z, Chen J, Chen X, Huang L, Zhang X, et al. A novel engineered IL-21 receptor arms T-cell receptor-engineered T cells (TCR-T cells) against hepatocellular carcinoma. Signal transduction targeted Ther. (2024) 9:101. doi: 10.1038/s41392-024-01792-6, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139. Lan X, Mi T, Alli S, Guy C, Djekidel MN, Liu X, et al. Antitumor progenitor exhausted CD8(+) T cells are sustained by TCR engagement. Nat Immunol. (2024) 25:1046–58. doi: 10.1038/s41590-024-01843-8, PMID: [DOI] [PubMed] [Google Scholar]
- 140. Zhang S, Chan RWS, Ng EHY, Yeung WSB. The role of Notch signaling in endometrial mesenchymal stromal/stem-like cells maintenance. Commun Biol. (2022) 5:1064. doi: 10.1038/s42003-022-04044-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141. Neelapu SS, Locke FL, Bartlett NL, Lekakis LJ, Miklos DB, Jacobson CA, et al. Axicabtagene ciloleucel CAR T-cell therapy in refractory large B-cell lymphoma. N Engl J Med. (2017) 377:2531–44. doi: 10.1056/NEJMoa1707447, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Schuster SJ, Bishop MR, Tam CS, Waller EK, Borchmann P, McGuirk JP, et al. Tisagenlecleucel in adult relapsed or refractory diffuse large B-cell lymphoma. N Engl J Med. (2019) 380:45–56. doi: 10.1056/NEJMoa1804980, PMID: [DOI] [PubMed] [Google Scholar]
- 143. Locke FL, Miklos DB, Jacobson CA, Perales MA, Kersten MJ, Oluwole OO, et al. Axicabtagene ciloleucel as second-line therapy for large B-cell lymphoma. N Engl J Med. (2022) 386:640–54. doi: 10.1056/NEJMoa2116133, PMID: [DOI] [PubMed] [Google Scholar]
- 144. Kamdar M, Solomon SR, Arnason J, Johnston PB, Glass B, Bachanova V, et al. Lisocabtagene maraleucel versus standard of care with salvage chemotherapy followed by autologous stem cell transplantation as second-line treatment in patients with relapsed or refractory large B-cell lymphoma (TRANSFORM): results from an interim analysis of an open-label, randomised, phase 3 trial. Lancet (London England). (2022) 399:2294–308. doi: 10.1016/S0140-6736(22)00662-6, PMID: [DOI] [PubMed] [Google Scholar]
- 145. Monfrini C, Stella F, Aragona V, Magni M, Ljevar S, Vella C, et al. Phenotypic composition of commercial anti-CD19 CAR T cells affects in vivo expansion and disease response in patients with large B-cell lymphoma. Clin Cancer Res. (2022) 28:3378–86. doi: 10.1158/1078-0432.CCR-22-0164, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Deng Q, Han G, Puebla-Osorio N, Ma MCJ, Strati P, Chasen B, et al. Characteristics of anti-CD19 CAR T cell infusion products associated with efficacy and toxicity in patients with large B cell lymphomas. Nat Med. (2020) 26:1878–87. doi: 10.1038/s41591-020-1061-7, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Denlinger N, Song NJ, Zhang X, Jeon H, Peterson C, Wang Y, et al. Postinfusion PD-1+ CD8+ CAR T cells identify patients responsive to CD19 CAR T-cell therapy in non-Hodgkin lymphoma. Blood advances. (2024) 8:3140–53. doi: 10.1182/bloodadvances.2023012073, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Scholler N, Perbost R, Locke FL, Jain MD, Turcan S, Danan C, et al. Tumor immune contexture is a determinant of anti-CD19 CAR T cell efficacy in large B cell lymphoma. Nat Med. (2022) 28:1872–82. doi: 10.1038/s41591-022-01916-x, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Rojas LA, Sethna Z, Soares KC, Olcese C, Pang N, Patterson E, et al. Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer. Nature. (2023) 618:144–50. doi: 10.1038/s41586-023-06063-y, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150. Ott PA, Hu Z, Keskin DB, Shukla SA, Sun J, Bozym DJ, et al. An immunogenic personal neoantigen vaccine for patients with melanoma. Nature. (2017) 547:217–21. doi: 10.1038/nature22991, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151. Mizukoshi E, Nakagawa H, Tamai T, Kitahara M, Fushimi K, Nio K, et al. Peptide vaccine-treated, long-term surviving cancer patients harbor self-renewing tumor-specific CD8(+) T cells. Nat Commun. (2022) 13:3123. doi: 10.1038/s41467-022-30861-z, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152. Verma V, Jafarzadeh N, Boi S, Kundu S, Jiang Z, Fan Y, et al. MEK inhibition reprograms CD8(+) T lymphocytes into memory stem cells with potent antitumor effects. Nat Immunol. (2021) 22:53–66. doi: 10.1038/s41590-020-00818-9, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153. Lin MJ, Svensson-Arvelund J, Lubitz GS, Marabelle A, Melero I, Brown BD, et al. Cancer vaccines: the next immunotherapy frontier. Nat cancer. (2022) 3:911–26. doi: 10.1038/s43018-022-00418-6, PMID: [DOI] [PubMed] [Google Scholar]
- 154. D’Alise AM, Brasu N, De Intinis C, Leoni G, Russo V, Langone F, et al. Adenoviral-based vaccine promotes neoantigen-specific CD8(+) T cell stemness and tumor rejection. Sci Trans Med. (2022) 14:eabo7604. doi: 10.1126/scitranslmed.abo7604, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. Baharom F, Ramirez-Valdez RA, Tobin KKS, Yamane H, Dutertre CA, Khalilnezhad A, et al. Intravenous nanoparticle vaccination generates stem-like TCF1(+) neoantigen-specific CD8(+) T cells. Nat Immunol. (2021) 22:41–52. doi: 10.1038/s41590-020-00810-3, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156. Eberhardt CS, Kissick HT, Patel MR, Cardenas MA, Prokhnevska N, Obeng RC, et al. Functional HPV-specific PD-1(+) stem-like CD8 T cells in head and neck cancer. Nature. (2021) 597:279–84. doi: 10.1038/s41586-021-03862-z, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Hua Y, Vella G, Rambow F, Allen E, Antoranz Martinez A, Duhamel M, et al. Cancer immunotherapies transition endothelial cells into HEVs that generate TCF1(+) T lymphocyte niches through a feed-forward loop. Cancer Cell. (2022) 40:1600–18.e10. doi: 10.1016/j.ccell.2022.11.002, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 158. Wu TD, Madireddi S, de Almeida PE, Banchereau R, Chen YJ, Chitre AS, et al. Peripheral T cell expansion predicts tumour infiltration and clinical response. Nature. (2020) 579:274–8. doi: 10.1038/s41586-020-2056-8, PMID: [DOI] [PubMed] [Google Scholar]
- 159. Ottonello S, Genova C, Cossu I, Fontana V, Rijavec E, Rossi G, et al. Association between response to nivolumab treatment and peripheral blood lymphocyte subsets in patients with non-small cell lung cancer. Front Immunol. (2020) 11:125. doi: 10.3389/fimmu.2020.00125, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Ye L, Dick I, Firth T, Robinson BW, Creaney J, Redwood A. Circulating stem-like exhausted CD8 T cells point to better outcomes in lung cancer: a brief report. Trans Lung Cancer Res. (2025) 14:5074–81. doi: 10.21037/tlcr-2025-509, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Qin D, Lei Y, Shu P, Zhang Y, Loh YH, Wang Y, et al. Supercharging CAR-T cells through transcriptional and epigenetic armoring. Theranostics. (2025) 15:3345–67. doi: 10.7150/thno.107908, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Xiong D, Yu H, Sun ZJ. Unlocking T cell exhaustion: Insights and implications for CAR-T cell therapy. Acta Pharm Sin B. (2024) 14:3416–31. doi: 10.1016/j.apsb.2024.04.022, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Sun R, Wu Y, Zhou H, et al. Eomes Impedes Durable Response to Tumor Immunotherapy by Inhibiting Stemness, Tissue Residency, and Promoting the Dysfunctional State of Intratumoral CD8+ T Cells. Front Cell Dev Biol. (2021) 9:640224. doi: 10.3389/fcell.2021.640224, PMID: [DOI] [PMC free article] [PubMed] [Google Scholar]



