Skip to main content
American Journal of Cancer Research logoLink to American Journal of Cancer Research
. 2021 May 15;11(5):1962–1981.

Exosomal long noncoding RNA AGAP2-AS1 regulates trastuzumab resistance via inducing autophagy in breast cancer

Xueke Qian 1,*, Hongbo Qu 2,*, Fan Zhang 3,*, Shujia Peng 4, Dongwei Dou 1, Yunqing Yang 1, Yichao Ding 3, Mingwei Xie 3, Huaying Dong 3, Yue Liao 3,5, Mingli Han 1
PMCID: PMC8167703  PMID: 34094664

Abstract

Trastuzumab has been widely used for treatment of HER-2-positive breast cancer patients, however, the clinical response has been restricted due to emergence of resistance. Recent studies indicate that long noncoding RNA AGAP2-AS1 (lncRNA AGAP2-AS1) plays an important role in cancer resistance. However, the precise regulatory function and therapeutic potential of AGAP2-AS1 in trastuzumab resistance is still not defined. In this study, we sought to reveal the essential role of AGAP2-AS1 in trastuzumab resistance. Our results suggest that AGAP2-AS1 disseminates trastuzumab resistance via packaging into exosomes. Exosomal AGAP2-AS1 induces trastuzumab resistance via modulating ATG10 expression and autophagy activity. Mechanically, AGAP2-AS1 is associated with ELAVL1 protein, and the AGAP2-AS1-ELAVL1 complex could directly bind to the promoter region of ATG10, inducing H3K27ac and H3K4me3 enrichment, which finally activates ATG10 transcription. AGAP2-AS1-targeting antisense oligonucleotides (ASO) substantially increased trastuzumab-induced cytotoxicity. Clinically, increased expression of serum exosomal AGAP2-AS1 was associate with poor response to trastuzumab treatment. In conclusion, exosomal AGAP2-AS1 increased trastuzumab resistance via promoting ATG10 expression and inducing autophagy. Therefore, AGAP2-AS1 may serve as predictive biomarker and therapeutic target for HER-2+ breast cancer patients.

Keywords: Breast cancer, trastuzumab resistance, AGAP2-AS1, ATG10, ELAVL1

Introduction

Human epidermal growth factor receptor 2 (HER-2) positive breast cancer (BC) is one of the most common types of BC, and HER-2 is amplified or overexpressed in 15 to 20% of all BC patients [1]. Currently, the use of adjuvant trastuzumab is the standard of care for these patients [2]. However, a very limited part of patients responds well to trastuzumab and over 60% become resistance [3]. Thus, finding novel therapeutic approaches and new targets to promote trastuzumab cytotoxicity are urgently needed.

Long noncoding RNAs (lncRNAs) are now described to have many functions and involved in tumor progression and response to therapy [4]. Exosomes (70-120 nm) are microvesicles that originate from multivesicular bodies (MVBs) and are released into the extracellular milieu upon fusion of MVBs with cytomembrane. Evidence is mounting that numerous lncRNAs contained in exosomes (exosomal lncRNAs) are involved in regulating cancer resistance, such as GAS5, UCA1 and ATB [5-8]. Previously, we demonstrated the essential role of AFAP1-AS1 in trastuzumab resistance. AFAP1-AS1 could interact with AUF1, and then activate ERBB2 translation [9]. RNA-binding proteins (RBPs) are playing important functions in cancers by regulating the messenger RNA (mRNA) stability and splicing [10]. RBPs regulate the step of RNA processing to modulate the progression of BC [11]. For instance, RNA-binding protein CUGBP1 controls the differential INSR splicing in molecular subtypes of BC cells and affects cell aggressiveness [12]. And RNA-binding protein RBM38 increases PTEN expression via enhancing its mRNA stability in BC [13]. Those studies along with ours indicate that lncRNAs are critical regulators for trastuzumab resistance by binding with RBPs.

Autophagy is a well-known cellular process which is accompanied by various pathologic processes and biological reactions, including hypoxia, cancer, nutritional deficiencies and other cellular stresses [14]. Thus, it is easily understood that autophagy plays important roles during drug treatment and resistance. Learning how autophagy participates in trastuzumab resistance could provide new insights into overcoming resistance and developing new therapeutic targets [15]. By modulating key autophagy-related proteins expression, lncRNAs plays essential roles in regulating autophagy [16]. Therefore, finding the regulatory relationships between lncRNAs and autophagy in trastuzumab resistance may provide new thoughts in BC treatment.

In our previous study, we revealed a critical role of AGAP2-AS1 in trastuzumab resistance [17]. Here, we continue to explore the underlying regulatory mechanism of AGAP2-AS1 in BC trastuzumab resistance through binding with RBPs and regulation of autophagy, which may help us obtain new insights into the clinical potential of AGAP2-AS1 in BC therapy.

Materials and methods

Patient samples

Overall, a cohort of serum samples obtained from 90 HER-2 positive (pathological confirmed) patients (female, range of age (median): 38-67 (55)) were included from March 2012 to January 2015, to determine the expression of serum exosomal AGAP2-AS1 for trastuzumab response. Patients include 45 responding (female, range of age (median): 38-65 (54)) and 45 non-responding patients (female, range of age (median): 39-67 (56)) according to iRECIST criteria [18]. Patients who received radiotherapy and chemotherapy before surgical treatment were excluded. Meanwhile, the general clinical information and detailed pathological records were collected. Written-informed consent was obtained from all patients and the study protocol was approved by the Research Scientific Ethics Committee of The First Affiliated Hospital of Zhengzhou University, The First People’s Hospital of Chenzhou City, Tangdu Hospital, The Fourth Military Medical University and Hainan General Hospital.

Cell culture and treatment

The human HER-2 positive BC cell lines SKBR-3 and BT474 were obtained from the Cell Bank of the Chinese Academy of Sciences (Shanghai, China). Cells were cultured in RPMI-1640 medium (Gibco, CA, USA) supplemented with 10% fetal bovine serum (Australia Origin, Gibco, Carlsbad, CA, USA) and 1% penicillin/streptomycin (Solarbio, Beijing, China). The cells were grown in a humidified atmosphere of 5% CO2 and 95% air at 37°C. Trastuzumab (Herceptin) was purchased from Roche (Basel, Switzerland) and used by dissolving in phosphate-buffered saline (PBS). The trastuzumab-resistant cell lines, SKBR-3-TR and BT474-TR, originated from SKBR-3 and BT474 cells, respectively, were established as previously described [19].

RNA extraction and qRT-PCR analysis

Total RNA was isolated from the cultured cell lines or clinical samples by use of Trizol reagent (Invitrogen, Carlsbad, CA), and subjected to reverse transcription as requested (Takara, Shiga, Japan). The RNA concentration and purity were measured by Nanodrop 2000 (Thermo Scientific, Waltham, MA, USA). The expression levels of mRNA and lncRNA were detected by the PrimeScriptTMRT reagent kit (Takara, Dalian, China). qRT-PCR was carried out using the SYBR Premix Ex TaqTM II (Takara, Dalian, China) and standardized using GAPDH as reference gene. All reactions were carried out in triplicate. The relative expression was calculated using the 2-ΔΔct method. PCR primers were listed in Additional file 1: Table S1.

Plasmid construction and cell transfection

For knockdown of AGAP2-AS1 and ATG10, small interfering RNA (siRNA) was purchased from GenePharma (Shanghai, China). To construct a plasmid overexpressing AGAP2-AS1, the full-length human AGAP2-AS1 sequence was synthesized and subcloned into the pEX-3 vector (GenePharma, Shanghai, China). The pENTER-ATG10 vector used for overexpression of ATG10 mRNA was provided by Vigene BioSciences, followed by transfection into BC cells using Lipofectamine 2000 for 48 h (Invitrogen). For stably overexpressing or silencing AGAP2-AS1, we constructed lentivirus-based vectors from Genechem (Shanghai, China). The sequences of oligonucleotides are presented in Additional file 1: Table S1.

CCK8 assay

The cells transfected accordingly were seeded in a 96-well plate, the cells were cultured for 72 h with different dose of trastuzumab. After that, 10 mg/mL of CCK8 reagent (Dojindo, Kumamoto, Japan) was supplemented for cell viability detection according to manufacturer’s protocols. The absorbance at 450 nm was measured with a microplate reader. The dose for the half survival was represented the half-maximal inhibitory concentration (IC50) of trastuzumab in SKBR-3-TR and BT474-TR cells.

Isolation and identification of exosomes

Cell supernatant was collected and sequentially centrifuged under 3000 g for 15 min at 4°C after taken out from -80°C and filtered through a 0.45-µm pore polyvinylidene fluoride filter (Millipore, Billerica, Mass). Then, 63 µl ExoQuickTM exosome precipitation solution (SBI, USA) was added into 250 µl serum followed by incubation at 4°C for 50 min. After centrifugation at 1500 g for 30 minutes, exosomes were collected. 50 µl phosphate-buffered saline (PBS) was used to resuspend the exosome pellets obtained from the former step. Exosome isolated from serum of BC patients were done with similar procedures.

The sample of exosomes was identified through transmission electron microscopy, nanoparticle tracking analysis (NTA, Malvern Panalytical). Exosomes were loaded on a Formvar-carbon-coated electron microscope grid (Polysciences) for 30 min. Then the grid was washed in PBS and fixed in 2% glutaraldehyde (Sigma Aldrich) for 10 min. The grid was subsequently washed in PBS for 5 times and counter-stained with 2% uranyl acetate (Sigma Aldrich) for 1 min. Air-dried grids were viewed with a Hitachi transmission electron microscope.

RNA sequencing analysis

Total RNA was extracted from wild type or AGAP2-AS1-knock out SKBR-3 cells using RNeasy mini kit (Qiagen, Germany). The paired-end libraries were constructed by using TruSeqTM RNA Sample Preparation Kit (Illumina, USA) according to the manufacture’s sample preparation guide. The mRNA expression profiles of the treated cells were determined using the Illumina NovaSeq 6000 (Illumina, USA) following the manufacturer’s instructions. The library construction and sequencing were performed at Shanghai Sinomics Corporation (Shanghai, China). Cuffdiff was used to evaluate differentially expressed genes. The differentially expressed genes were selected using the following filter criteria: P≤0.05 and fold change ≥2.

Subcutaneous tumorigenicity assay

4-week-old female BALB/c nude mice were purchased from the Beijing Vital River Laboratory Animal Technology and housed in specific pathogen-free barrier facilities. Fifteen mice were randomly assigned to two exosome-treated groups and one control group (5 mice/group). Mice were subcutaneous injected SKBR-3-TR cells (1 × 106 cells in 0.1 ml physiological saline) in the flank. Each group received PBS, SKBR-3-TR-EXOVector, or SKBR-3-TR-EXOAGAP2-AS1 treatments every 3 days for 5 weeks. Meanwhile, each group received intraperitoneal treatment of trastuzumab once every two days for 4 weeks. After 4 weeks post-injection, mice were imaged using a luminescence imaging system. At the end of imaging, all mice were euthanized by carbon dioxide inhalation, followed by cervical dislocation to ensure death. Then, tumors were surgically dissected and weighted. Tumor volume (mm3) = 0.5 × width2 × length.

To test the therapeutic role of AGAP2-AS1, ASO was used for treatment of xenograft tumors through tail vein injection. Briefly, 5 × 105 SKBR-3-TR cells in 100 μL of sterile PBS were injected directly into the mammary fat pads of mice to establish in situ xenograft. Then, mice were divided into 3 groups (n = 5 in each group) after the xenograft was established. ASO was used at the concentration of 10 nmol, twice a week.

All experimental procedures were conducted in conformity with the ethical standards of national and international guidelines and policies. This study was approved by the Institute Animal Care and Use Committee of The First Affiliated Hospital of Zhengzhou University (Zhengzhou, China).

RNA pulldown

AGAP2-AS1 was transcribed using T7 RNA polymerase in vitro (Ambio Life) followed by the purification with RNeasy Plus Mini Kit (Qiagen) treatment with DNase I (Qiagen). The cell lysates were freshly prepared using Magnetic RNA-Protein Pull-Down Kit (Thermo Fisher Scientific, Cat# 20164). Cell protein extracts were collected and mixed with the biotinylated.

RNA probes for AGAP2-AS1 in magnetic beads. Results were analyzed by sliver staining and mass spectrometry (ekspertTMnanoLC; AB Sciex TripleTOF 5600-plus; SCIEX). Data were analyzed using Proteinpilot software (https://omictools.com/proteinpilot-tool). The retrieved protein ELAVL1 was further validated by standard western blot.

RNA immunoprecipitation (RIP) and chromatin immunoprecipitation (ChIP)

Using EZ-Magna RIP RNA Binding Protein Immunoprecipitation Kit, RIP assay was implemented as instructed by supplier (Millipore, Billerica, MA). Cell lysates were reaped for incubation with the ELAVL1 (cat. no. ab200342, Abcam, Cambridge, MA) antibody in magnetic beads, using IgG antibody as negative control. All precipitates were examined by qRT-PCR.

For ChIP assay, the Millipore EZ ChIP Kit (Millipre) was used according to the manufacture’s guideline. After fixation with 4% formaldehyde, cells were lysed by using RIPA buffer (Beyotime, Shanghai, China). Then, DNA fragments (length of 200-1000 bp) were obtained by treatment with ultrasonic followed by immunoprecipitation using anti-H3K27ac antibody (Abcam, cat. no. ab4729), H3K4me3 antibody (Abcam, cat. no. ab8580) and the negative control IgG antibody (EMD Millipore, cat. no. 12-371) overnight at 4°C. The cross-linked chromatin was then acquired and detected via qRT-PCR after route elution. Experiments were performed in triplicate.

RNA fluorescent in situ hybridization (RNA-FISH)

The colocalization of AGAP2-AS1 and ELAVL1 were confirmed by fluorescence staining. Briefly, SKBR-3 cells were seeded on a glass-bottomed confocal plate and cultured overnight. After fixation with 4% PFA and permeabilization with 0.5% Triton, hybridization was carried out overnight with the AGAP2-AS1 probes conjugated with Alexa Fluor 555 (Invitrogen, CA, USA) at 37°C in 2 × SSC, 10% formamide and 10% dextran. Subsequently, Anti-ELAVL1 was incubated in the dark overnight followed by incubation with secondary antibody for 1 h. Finally, the nuclei were stained by DAPI and the images were captured under a Nikon A1Si Laser Scanning Confocal Microscope (Nikon Instruments Inc, Japan).

Immunohistochemistry (IHC) analysis

For IHC, the formalin-fixed, paraffin-embedded sections were dewaxed and rehydrated as previously described [17], and then treated with 3% hydrogen peroxide followed by EDTA buffer for antigen retrieval. The sections were then blocked in goat serum for 30 min, incubated with rabbit anti ATG10 antibody (Abcam, cat. no. ab229728) at 4°C overnight and subsequent with horseradish peroxidase-conjugated secondary antibodies for 30 min at room temperature. Finally, the sections were stained with the DAB substrate and hematoxylin. Images were recorded by Nikon Eclipse Ti microscope.

Western blot analysis

Protein extraction were performed using RIPA lysis buffer (Pierce, IL, USA) containing protease inhibitor (Roche, CA, USA). Protein extracts were subjected to 10% SDS-polyacrylamide gel electrophoresis followed by electro-transfer to polyvinylidene difluoride membrane. After 1 h of pre-membrane blocking with 5% BSA, the proteins were incubated with respective primary antibodies at 4°C overnight followed by secondary antibodies incubation at room temperature for 1 h. The detection of proteins was carried out using ECL reagent.

Statistical analysis

Each experiment contained at least 3 individual bio-replications. Data were all given as the mean ± standard deviation (SD) and processed with Prism Version 5.0 (GraphPad Software, La Jolla, CA). Statistical analysis in form of Student’s t-test or one-way analysis of variance (ANOVA), was considered to be significant when p-values below 0.05.

Results

AGAP2-AS1 was enriched in BC cell-secreted exosomes

Previously, we identified an upregulation of AGAP2-AS1 in trastuzumab-resistant BC cells compared to parental cells [17]. However, whether AGAP2-AS1 can be packaged into extracellular materials, such as exosome, is not well known. By using SKBR-3-TR cells, we extracted exosomes from the cell culture medium and confirmed by transmission electron microscopy (TEM) (Figure 1A) and NanoSight analysis (Figure 1B). The exosomes were further confirmed by western blotting analysis of exosomal markers, TSG101 and HSP70 (Figure 1C). qRT-PCR indicated that the expression of AGAP2-AS1 packaged in exosome was significantly increased in trastuzumab-resistant cells in contrast to the respective parental cells (Figure 1D). Moreover, AGAP2-AS1 was more enriched in exosomes in contrast to intracellular portions, indicating that AGAP2-AS1 may function via incorporating into exosomes (Figure 1E). Importantly, knockdown of cellular AGAP2-AS1 via transfection of AGAP2-AS1 small interfere vectors induced a dramatically decrease of exosomal AGAP2-AS1 expression (Figure 1F and 1G), while overexpression of cellular AGAP2-AS1 showed opposite effects (Figure 1H and 1I), strengthening our conclusion that AGAP2-AS1 was enriched in extracellular exosomes.

Figure 1.

Figure 1

Cellular AGAP2-AS1 was incorporated into exosomes. A. Exosomes was identified under transmission electron microscopy. B. NanoSight analysis showed the size distribution of extracellular vesicles. C. Exosomal marker proteins were identified by western blot. D. qRT-PCR was used to detect the expression of exosomal AGAP2-AS1 in sensitive and resistant breast cancer cells. E. The expression of cellular or exosomal AGAP2-AS1 was determined by qRT-PCR. F, G. Both total and exosomal AGAP2-AS1 were silenced by specific silencing vectors. H, I. Both total and exosomal AGAP2-AS1 were overexpressed by transfection of overexpression vector. *P<0.05, **P<0.01, ***P<0.001.

Exosomal AGAP2-AS1 was internalized by BC parental cells to induce trastuzumab resistance

To directly probe exosomal AGAP2-AS1 induces trastuzumab resistance in recipient cells, we incubated SKBR-3 and BT474 cells with exosomes derived from SKBR-3-TR cells. As shown in Figure 2A, SKBR-3-TR-secreted exosomes significantly suppressed trastuzumab-induced cytotoxicity. However, treatment with exosomes isolated from SKBR-3-TR cells which are silenced with AGAP2-AS1 lost the ability to induce trastuzumab resistance of parental cells (Figure 2B). On the other hand, incubation SKBR-3 and BT474 cells with AGAP2-AS1-enriched SKBR-3-TR-derived exosomes significantly increased the cellular expression of AGAP2-AS1 of recipient cells while AGAP2-AS1-silenced exosomes showed no influence on AGAP2-AS1 expression level (Figure 2C), suggesting that exosomal AGAP2-AS1 may be internalized to induce trastuzumab resistance.

Figure 2.

Figure 2

Exosomal AGAP2-AS1 was internalized by BC parental cells. (A, B) Incubation of SKBR-3 and BT474 cells with SKBR-3-TR-secreted exosomes induced suppression of cytotoxicity induced by trastuzumab. However, this effect was not obvious when AGAP2-AS1 was silenced in SKBR-3-TR cells. (C) Incubation SKBR-3 and BT474 cells with AGAP2-AS1-enriched SKBR-3-TR-derived exosomes significantly increased the cellular expression of AGAP2-AS1 of recipient cells while AGAP2-AS1-silenced exosomes showed no influence on AGAP2-AS1 expression level. (D) A strong PKH67 fluorescence signal was observed in recipient cells while no signal was observed in PBS control group. Scale bars: 10 μm. (E) A successful deficiency of AGAP2-AS1 was confirmed by qRT-PCR analysis. (F, G) CCK8 assay proved that AGAP2-AS1-overexpressed cell-secreted exosomes promoted trastuzumab resistance of AGAP2-AS1-knockout cells (F). These results were consistent with that of AGAP2-AS1-wild type BC cells (G). *P<0.05.

To provide direct evidence that exosomal AGAP2-AS1 was internalized by BC cells, we labeled extracted exosomes with PKH67 green dye. As expected, a strong green fluorescence signal was observed in recipient cells while no signal was observed in PBS control group (Figure 2D). To eliminate the possibility that endogenous AGAP2-AS1 induced trastuzumab resistance of BC parental cells. We built AGAP2-AS1-knockout SKBR-3 and BT474 cells from using the CRISPR-Cas9 approach with double-strained sgRNAs targeting AGAP2-AS1. A successful deficiency of AGAP2-AS1 was confirmed by our qRT-PCR analysis (Figure 2E). CCK8 assay proved that AGAP2-AS1-overexpressed cell-secreted exosomes promoted trastuzumab resistance of AGAP2-AS1-knockout cells (Figure 2F). These results were consistent with that of AGAP2-AS1-wild type BC cells (Figure 2G). Taken together, we demonstrated that AGAP2-AS1-overexpression cells could spread trastuzumab resistance by transferring exosomal AGAP2-AS1 to sensitive cells.

Exosomal AGAP2-AS1 promotes trastuzumab resistance via inducing autophagy

It is well demonstrated that autophagy may decrease the cytotoxicity of drugs upon cancer cells, inducing resistance [20]. Interestingly, the Gene Ontology (GO) analysis showed that autophagy may be involved in the function of AGAP2-AS1 (Figure 3A). To find whether AGAP2-AS1 regulates trastuzumab resistance via inducing autophagy, we firstly measured the autophagy activity of BC cells. Remarkably, compared to BC parental cells, trastuzumab-resistant cells showed higher activity of autophagy, as evidenced by increased expression of LC3-II, decreased expression of p62 protein and increased formation of LC3 puncta, than the corresponding parental cells, confirming the close association between autophagy and drug resistance in cancer (Figure 3B, 3C). To identify the direct role of autophagy in trastuzumab resistance, we used chloroquine (CQ), a well-known autophagy inhibitor [21]. As expected, CQ treatment inhibited autophagy activity and deteriorated trastuzumab resistance (Figure 3D, 3E).

Figure 3.

Figure 3

Exosomal AGAP2-AS1 promotes trastuzumab resistance via inducing autophagy. (A) Gene Ontology analysis showed that autophagy may be involved in the function of AGAP2-AS1. (B, C) Trastuzumab-resistant cells showed higher LC3-II, lower p62 protein levels (B) and increased formation of LC3 puncta (C) in contrast to sensitive cells. (D) Western blotting showed that autophagy inhibitor, CQ, significantly inhibited autophagy activity and deteriorated trastuzumab resistance. (E) CQ treatment deteriorated trastuzumab resistance. (F, G) Knockdown of AGAP2-AS1 caused decreased LC3-II, elevated p62 expression and reduced number of LC3 puncta in SKBR-3-TR and BT474-TR cells. (H, I) Incubation with SKBR-3-TR-derived exosomes increased autophagy activity of SKBR-3 and BT474 cells. However, the pro-autophagic effect was not observed when we incubated with exosomes derived from si-AGAP2-AS1-transfected SKBR-3-TR cells. *P<0.05.

We then explored whether AGAP2-AS1 influence autophagy of BC cells. Compared to control group, knockdown of AGAP2-AS1 caused decreased LC3-II, elevated p62 expression and reduced number of LC3 puncta in SKBR-3-TR and BT474-TR cells (Figure 3F, 3G). Importantly, an increased autophagy activity was observed in SKBR-3 and BT474 cells when incubated with exosomes derived from SKBR-3-TR cells, however, the pro-autophagic effect was not observed when we incubated with exosomes derived from si-AGAP2-AS1-transfected SKBR-3-TR cells (Figure 3H, 3I). Moreover, treatment with CQ eliminated the elevated autophagic effect, suggesting the high level of autophagy activity were caused by increased autophagic flux (Figure S1). Collectively, we proved that exosomal AGAP2-AS1 transmit trastuzumab resistance via regulating autophagy activity.

Exosomal AGAP2-AS1 upregulates ATG10 expression to induce trastuzumab resistance in vitro

To clarify the functional target of AGAP2-AS1 in autophagy and trastuzumab resistance, we performed RNA sequencing with AGAP2-AS1 knockout SKBR-3 cells and wild-type controlled cells. Preliminarily, 1247 genes were identified with statistical significance (Fold change > 2) in both cell lines (Figure 4A). Given the fact that AGAP2-AS1 may influence trastuzumab resistance via regulating autophagy, we focus on 27 autophagy-related genes, including ATG10 and ATG5 (Figure 4B). By performing qRT-PCR, we identified five genes were significantly altered upon silence of AGAP2-AS1 in trastuzumab resistant cells (Figure 4C). Western blotting showed that the protein levels of two of those genes, ATG10 and ATG5 were silenced by AGAP2-AS1 knockdown (Figure 4D). Moreover, ATG10 was upregulated in trastuzumab-resistant cells compared to parental cells in both transcript and protein levels (Figure 4E), whereas ATG5 was not altered (data not shown). Functionally, knockdown of ATG10 significantly reversed the AGAP2-AS1-induced autophagy activity and trastuzumab resistance (Figure 4F and 4G), while silence of ATG5 showed no effect (data not shown), suggesting that ATG10 may be directly targeted by AGAP2-AS1 and mediates the AGAP2-AS1-induced autophagy and trastuzumab resistance.

Figure 4.

Figure 4

AGAP2-AS1 regulates trastuzumab resistance via upregulating ATG10 expression. (A, B) Scatter plot and volcano plot showed the differentially expressed genes regulated by AGAP2-AS1, including 27 autophagy-related genes, including ATG10 and ATG5. (C) qRT-PCR verified five genes that were significantly altered upon knockdown of AGAP2-AS1. (D) Western blotting showed that knockdown of AGAP2-AS1 decreased ATG10 and ATG5 expression. (E) ATG10 was upregulated in BC trastuzumab-resistant cells compared to parental cells in both transcript (upper panel) and protein levels (lower panel). (F, G) Knockdown of ATG10 significantly reversed the AGAP2-AS1-induced autophagy activity (F) and trastuzumab resistance (G). *P<0.05, **P<0.01.

Exosomal AGAP2-AS1 promotes trastuzumab resistance via ATG10 in vivo

To further confirm the essential role of exosomal AGAP2-AS1 in autophagy and trastuzumab resistance, we established xenografts in BALB/c nude mice models. Mice were inoculated subcutaneously with SKBR-3 cells and randomly divided into three groups. Mice of each group received PBS, SKBR-3-TR-EXOVector, or SKBR-3-TR-EXOAGAP2-AS1 treatments accordingly, once every 3 days for 5 weeks (Figure 5A). Meanwhile, each group received intraperitoneal treatment of trastuzumab once every two days for 4 weeks (Figure 5B). Mice treated with SKBR-3-TR-EXOAGAP2-AS1 showed increased growth of xenografts, greater size and weight compared to PBS and SKBR-3-TR-EXOVector-treated mice (Figure 5C-G), suggesting that exosomal AGAP2-AS1 increased trastuzumab resistance of mice. Moreover, IHC analysis showed that SKBR-3-TR-EXOAGAP2-AS1 treatment increased ATG10 expression compared to PBS and SKBR-3-TR-EXOVector groups (Figure 5H). Consistently, tumors in SKBR-3-TR-EXOAGAP2-AS1 group showed increased formation of LC3 puncta (Figure 5I). These results suggest that exosomal AGAP2-AS1 induced trastuzumab resistance via promoting ATG10 expression and autophagy in vivo.

Figure 5.

Figure 5

Exosomal AGAP2-AS1 promotes trastuzumab resistance via ATG10 in vivo. A. The schematic diagram and protocols to establish mouse xenografts. B. The schematic diagram showed plan of trastuzumab treatment. C. The stripped xenografts from different groups were shown. D, E. Tumor size and tumor weight of stripped xenografts were calculated. F, G. Dual BLI/NIRF imaging were generated and the luciferase intensity were quantified. H. ATG10 expression was detected in established tumors from different groups by using IHC analysis. I. GFP LC3 signaling was evaluated in xenografts to determine autophagy activity. **P<0.01.

AGAP2-AS1 was interacted and stabilized by ELAVL1

To verify the RNA binding protein of AGAP2-AS1, we performed RNA pulldown assay using biotinylated AGAP2-AS1 and sense control. An obvious band of 35-50 kDa was identified with clear significance between AGAP2-AS1 and sense control (Figure 6A). According to mass spectrometry analysis and western blotting after RNA pulldown, we identified it was embryonic lethal abnormal version like RNA binding protein 1 (ELAVL1) (Figure 6B-D). Consistently, RNA-FISH verified that AGAP2-AS1 and ELAVL1 colocalized mostly in the cytoplasm of SKBR-3 cells (Figure 6E). RIP assay further confirmed the direct interaction between AGAP2-AS1 and ELAVL1 (Figure 6F). Furthermore, serial deletion analysis revealed that the 900-1200 nt region of AGAP2-AS1 was essential for binding with ELAVL1 (Figure 6G). Prediction by POSTAR2 (http://lulab.life.tsinghua.edu.cn/postar/index.php) showed a binding motif of ELAVL1 at the 937-957 nt region of AGAP2-AS1 (Figure 6H). According to RNAfold, an online software predicting spatial structure [22], the potential binding area formed stem-loop structure (Figure 6I), which strongly suggests a direct binding.

Figure 6.

Figure 6

AGAP2-AS1 was interacted and stabilized by ELAVL1. A. Silver-stained RNA pulldown assay using biotinylated AGAP2-AS1 and sense control were performed, and a specific band was identified. B. Mass spectrometry analysis of proteins from RNA pulldown, and the ELAVL1 atlas was shown. C, D. Western blotting confirmed the interacted protein was ELAVL1. E. RNA-FISH with specific probe verified that AGAP2-AS1 and ELAVL1 colocalized mostly in the cytoplasm of SKBR-3 cells. F. RIP assay with ELAVL1 protein further confirmed the direct interaction between AGAP2-AS1 and ELAVL1. G. Serial deletion analysis revealed that the 900-1200 nt region of AGAP2-AS1 was essential for binding with ELAVL1. H. Predicted motif sequence of ELAVL1 was shown according to POSTAR2 (http://lulab.life.tsinghua.edu.cn/postar/index.php). I. The 937-957 nt region of AGAP2-AS1 formed a stem-loop structure as predicted by RNAfold (http://rna.tbi.univie.ac.at//cgi-bin/RNAWebSuite/RNAfold.cgi?). J. ELAVL1 was silenced after transfection with specific silencing vectors. K. qPCR showed that knockdown of ELAVL1 decreased AGAP2-AS1 expression in SKBR-3 and BT474 cells. L. The half-life of AGAP2-AS1 RNA was dramatically decreased in ELAVL1-silenced cells compared to that in control cells. *P<0.05, ***P<0.001.

It is reported that ELAVL1 play a role in stabilizing mRNAs by binding AU-rich elements (AREs) [23]. To verify whether ELAVL1 stabilized AGAP2-AS1, we silenced ELAVL1 expression in BC cells (Figure 6J). Silence of ELAVL1 caused downregulation of AGAP2-AS1 in trastuzumab resistant cells (Figure 6K). Importantly, when we blocked RNA transcription process by using actinomycin D (ActD), the stability of AGAP2-AS1 RNA was dramatically suppressed in ELAVL1-silenced cells compared to that in control cells (Figure 6L). Our results indicate that ELAVL1 directly binds to AGAP2-AS1 and maintain its stability.

AGAP2-AS1-ELAVL1 complex promote H3K4 trimethylation and H3K27 acetylation at the ATG10 promoter

By analyzing the transcriptional modification region at http://genome.ucsc.edu/, we found potential H3K4 trimethylation (H3K4me3) and H3K27 acetylation (H3K27ac) binding areas at ATG10 promoter region (Figure 7A). To probe AGAP2-AS1-ELAVL1 complex increases ATG10 expression by transcription activation, we performed ChIP assay. As expected, both H3K4me3 and H3K27ac enrichment were identified at ATG10 promoter region (Figure 7B). Moreover, ELAVL1 was also enriched at ATG10 promoter region (Figure 7C).

Figure 7.

Figure 7

AGAP2-AS1-ELAVL1 complex promote H3K4 trimethylation and H3K27 acetylation at ATG10 promoter region. A. Predictive H3K27ac and H3K4me3 binding sites were shown according to UCSC online website. B. ChIP-qPCR showed a direct enrichment of H3K27ac and H3K4me3 at the promoter region of ATG10. C. ChIP-qPCR verified that ELAVL1 was enriched at ATG10 promoter region. D. Knockdown of AGAP2-AS1 decreased H3K27me3 and H3K27ac enrichment in SKBR-3-TR and BT474-TR cells. E. Enrichment of H3K4me3 and H3K27ac at the ATG10 promoter were increased upon treatment with exosomes secreted by AGAP2-AS1-transfected SKBR-3-TR cells. F. Silencing ELAVL1 reversed AGAP2-AS1-induced enrichment of H3K27me3 and H3K27ac. *P<0.05, **P<0.01.

To further confirm AGAP2-AS-ELAVL1 interacted with ATG10 promoter to induce histone modification, we evaluated the role of AGAP2-AS1 and ELAVL1 in H3K27me3 and H3K27ac enrichment. Figure 7D showed that knockdown of AGAP2-AS1 decreased H3K27me3 and H3K27ac enrichment in SKBR-3-TR and BT474-TR cells. Enrichment of the ATG10 promoter sequences associated with H3K4me3 and H3K27ac were increased in SKBR-3 and BT474 cells incubated with exosomes secreted by AGAP2-AS1-transfected SKBR-3-TR cells (Figure 7E). Interestingly, the effect caused by ectopic expression of AGAP2-AS1 was significantly reversed in cells silenced with ELAVL1, indicating that ELAVL1 is essential for AGAP2-AS1-induced transcription activation (Figure 7F). Although ELAVL1 could participate in the regulation of RNA stability, ActD treatment showed that ELAVL1 had little effect on half-life of ATG10 mRNA (data not shown).

Targeting AGAP2-AS1 with ASO showed potential in reversing trastuzumab resistance

Various in vitro, in vivo and pre-clinical studies proved that antisense oligonucleotide (ASO) may serving as promising small molecular drugs by generating specific vectors against diverse RNAs [24]. To investigate the potential of ASOs targeting AGAP2-AS1 in overcoming trastuzumab resistance, three ASOs against AGAP2-AS1 and one negative control were designed (Figure 8A). AGAP2-AS1 was silenced by ASO-1 and ASO-2 in trastuzumab resistant BC cells (Figure 8B). Cell suppression induced by trastuzumab was promoted by ASO-interfered AGAP2-AS1 (Figure 8C, 8D). ATG10 expression and autophagy activity were also suppressed when AGAP2-AS1 was silenced (Figure 8E). By optimizing the ASOs, we tested their functional efficiency in vivo. Free uptake assay revealed that two ASOs inhibited AGAP2-AS1 expression compared to negative control in SKBR-3-TR cells in a dose-dependent manner (Figure 8F). SKBR-3-TR cells were planted into mammary fat pads. When orthotopic xenograft tumor was established, mice were separated into 3 groups and injected via tail vein with ASO-1, ASO-2 or negative control ASO twice a week for 4 weeks (Figure 8G). Meanwhile, each group received intraperitoneal treatment of trastuzumab. Tumor growth was significantly suppressed in two ASO-treated groups compared to ASO-control group, suggesting that trastuzumab combined with AGAP2-AS1 knockdown via ASO could induce better anti-cancer effects, when compared to trastuzumab treatment only (Figure 8H). ATG10 expression was also suppressed in tissues treated with the two ASOs compared to control group (Figure 8I). Taken together, our results indicate that targeting AGAP2-AS1 with ASO combing drugs might be a promising therapeutic approach to overcome trastuzumab resistance.

Figure 8.

Figure 8

Potential therapeutic role of AGAP2-AS1 in BC. A. Schematic view of ASO targets on AGAP2-AS1 gene. B. Relative expression of AGAP2-AS1 48 h after ASO transfection were determined by qRT-PCR. C, D. ASO treatment increases trastuzumab-induced cell cytotoxicity in SKBR-3-TR and BT474-TR cells. E. Western blotting showed the suppressive effect of ASOs in autophagy activity. F. qRT-PCR showed AGAP2-AS1 expression after ASO delivery without transfect reagents. ASO were added into SKBR-3-TR cells at the concentration as indicated. After 48 h, RNA was extracted, and RT-qPCR was performed. G. Schematic view of ASO treatment xenograft model. H. Tumor growth was significantly suppressed in two ASO-treated groups compared to ASO-control group. I. IHC analysis showed that ATG10 expression was suppressed in tissues treated with the two ASOs compared to control group. *P<0.05, **P<0.01, ***P<0.001.

Circulating exosomal AGAP2-AS1 predicts response to trastuzumab treatment of BC patients

To determine the predictive value of exosomal AGAP2-AS1 in trastuzumab response of BC patients, we analyzed its expression in 90 serum samples from patients receiving trastuzumab treatment (45 responding and 45 non-responding patients). As shown in Figure 9A, exosomal AGAP2-AS1 is upregulated in nonresponding patients compared to responding patients. Moreover, receiver operator characteristic (ROC) curve showed a relatively high predictive value of exosomal AGAP2-AS1 in discriminating responding and non-responding patients, with an area under the curve (AUC) at 0.784, and diagnostic sensitivity and specificity at 77.8% and 73.3%, respectively (Figure 9B). By stratifying patients into a high or low exosomal AGAP2-AS1 expression group with a stratification criteria (4.06) obtained from the ROC curve, we found that the percent of patients showing response to trastuzumab therapy was much lower in high AGAP2-AS1-expressed group than that from low AGAP2-AS1-expressed group (Figure 9C), further strengthening the predictive value of exosomal AGAP2-AS1 in discriminating responding and non-responding patients.

Figure 9.

Figure 9

The clinical predictive role of circulating exosomal AGAP2-AS1. A. Serum exosomal AGAP2-AS1 expression was detected in responding and non-responding patients. B. ROC curve was established to evaluate the predictive role of AGAP2-AS1 in discriminating responding and non-responding patients. C. The proportion of high or low-expressing AGAP2-AS1 patients in responding or non-responding groups were shown. D. Schematic diagram of ELAVL1-AGAP2-AS1-ATG10 axis regulating trastuzumab resistance in BC via exosome.

Discussion

Despite current chemotherapeutic regimens that evidently improved the survival of metastatic tumors, nearly all HER-2+ BC patients finally develop into resistance [25,26]. LncRNAs are dysregulated in various cancers, and modulates drug resistance by interacting with RNA and proteins [27]. Until now, the precise regulatory mechanisms by which lncRNAs regulate trastuzumab resistance in BC is still not clearly defined. In this study, we investigated the pivotal role and post-transcriptional regulation of lncRNA AGAP2-AS1 in trastuzumab resistance. We revealed that AGAP2-AS1 promotes trastuzumab resistance via packaging into exosomes. In addition, AGAP2-AS1 directly interacted with ELAVL1 which in turn stabilizes AGAP2-AS1; the AGAP2-AS1-ELAVL1 complex could directly bind to promoter of ATG10, inducing an enhanced transcriptional activity of ATG10 through increasing H3K4me3 and H3K27ac enrichment, and finally lead to the activation autophagy and trastuzumab resistance (Figure 9D).

During recent years, more useful therapeutic methods were developed for the treatment of HER-2+ breast cancer [28], however, trastuzumab resistance still occurs and dramatically reduced the clinical practicality and response, which has become one of the most urgent challenges for promoting breast cancer outcome. Furthermore, lacking of effective prognostic biomarkers that could be used for predicting therapeutic response to trastuzumab also greatly hindered the improvement of HER-2 positive patients [29]. In addition to the molecular alterations discussed above, there is increased expression of a number of RTKs-IGF-1Rβ, c-Met, and EGFR-that are implicated in trastuzumab resistance [30]. Currently, very limited biomarkers are useful in guiding therapeutic decisions among HER-2+ patients except for HER-2 itself [31]. Hence, more and more studies needs to be devote to finding promising therapeutic targets and prognostic biomarkers [32,33].

In recent years, the functions of lncRNAs have drawn more and more attention. A great number of studies have indicated that lncRNAs play important roles in all steps of carcinogenesis and tumor progression, and lncRNAs could be used as new prognostic markers [34,35]. More recently, emerging evidence has indicated that exosomes regulate malignancy by transferring multiple classes of cargo molecules to recipient cells to mediate intercellular communication, including lncRNAs. Exosomal lncRNAs participate in tumor formation, proliferation, metastasis and chemotherapy resistance by regulating oncogenes or tumor suppressor genes [9,36,37]. However, communication in BC cells with different drug response via exosomes is obscured. In this study, we proved that AGAP2-AS1 lncRNA could be incorporated into exosomes and further internalized by recipient cells to transmit resistant property.

Autophagy can be a double-edged sword for resistant tumors: it participates in the development of drug resistance and protects cancer cells from chemotherapeutics but can also kill cancer cells in which apoptosis pathways are inactive. Therefore, research on the regulation of autophagy to combat resistance is expanding and is becoming increasingly important [38]. By screening potential targeted mRNAs, we identified ATG10 as one potentially regulated by AGAP2-AS1 and may play pivotal roles in trastuzumab resistance via regulating autophagy. Further experimental data proved that ATG10 expression is positively regulated by AGAP2-AS1 and essential for AGAP2-AS1-induced autophagy and trastuzumab resistance. ATG10 is an autophagic E2-like enzyme that interacts with ATG7 to recruit ATG12 and modulates the conversion of LC3-I to LC3-II [39]. Thus, ATG10 plays a critical role in autophagosome formation. Emerging evidence has emphasized that ATG10 displayed higher expression level in tumors of malignancies such as CRC [40] and lung cancer [41]. In addition, increased expression of ATG10 is positively linked with lympho-vascular invasion and predicts decreased overall survival times [42].

Another finding is the identification of the RBP, ELAVL1 (also known as Hu Antigen R, HuR), which binds to AGAP2-AS1 and regulates stability. ELAVL1 is a member of the RBP ELAV (embryonic lethal abnormal version) family, well studied for its role in RNA splicing and mRNA post-transcriptional regulation [43]. Various studies reported the critical role of ELAVL1 in cancer initiation, progression and resistance, via stabilizing targeted mRNAs. For example, Luo et al. revealed that ZEB1-AS1 lncRNA interacts with ELAVL1, thereby maintaining stability of ZEB1 mRNA in breast cancer [44]. Another study by Chen et al. found that lncRNA HOXB-AS1 promotes cell growth in multiple myeloma via FUT4 mRNA stability by ELAVL1 [45]. Our results suggest that there exists a direct interaction between AGAP2-AS1 and ELAVL1 protein, and the binding of AGAP2-AS1 by ELAVL1 increased the stability of AGAP2-AS1. In addition, AGAP2-AS1-ELAVL1 complex further binds to the promoter of ATG10, altering histone modifications and activating transcription. Moreover, the AGAP2-AS1-induced formation of H3K27ac and H3K4me3 was abolished by knockdown of ELAVL1, suggesting that ELAVL1 is essential for this epigenetic regulation. Reciprocally, overexpression of ELAVL1 only partly reversed the decrease of H3K4me3 and H3K27ac enrichment in AGAP2-AS1 silencing cells, indicating that the enhanced transcriptional activity at ATG10 promoter is dependent on the histone modification induced by AGAP2-AS1-ELAVL1 complex.

We need to point out several limitations of this study. First, we explored the experimental role of ASO targeting AGAP2-AS1 in reversing trastuzumab resistance, however, this may need further validation in clinical trials. Second, we preliminarily confirmed the function of AGAP2-AS1/ELAVL1/ATG10 in autophagy and trastuzumab resistance, however the precise regulatory model, and the ongoing interactions with other cellular factors in tumor microenvironment during this process need more meaningful studies. Finally, AGAP2-AS1 and ELAVL1 were highly located in cytoplasm, however, they play pivotal function in nucleus. This discrepancy may be involved in the nucleus transmission and we will explore the underlying regulatory mechanism in our following studies.

In summary, we demonstrated the crucial role of AGAP2-AS1 in trastuzumab resistance of BC by epigenetically increasing ATG10 expression and thereby promoting autophagy. Our discovery not only help us get a better understanding the regulatory potential of AGAP2-AS1 in drug resistance of HER-2+ BC, but also useful for finding promising drug targets and developing novel therapeutic strategies to overcome resistance.

Acknowledgements

We thank Professor Manran Liu, The Key Laboratory of Laboratory Medical Diagnostics, Chinese Ministry of Education, Chongqing Medical University, Chongqing 400016, China, for critical technical support. This study is supported by National Science Foundation of China (81960475, 82072932) and The “Nanhai series” talent cultivation program of Hainan Province.

Disclosure of conflict of interest

None.

Supporting Information

ajcr0011-1962-f10.pdf (236.7KB, pdf)

References

  • 1.Boero S, Morabito A, Banelli B, Cardinali B, Dozin B, Lunardi G, Piccioli P, Lastraioli S, Carosio R, Salvi S, Levaggi A, Poggio F, D’Alonzo A, Romani M, Del Mastro L, Poggi A, Pistillo MP. Analysis of in vitro ADCC and clinical response to trastuzumab: possible relevance of FcgammaRIIIA/FcgammaRIIA gene polymorphisms and HER-2 expression levels on breast cancer cell lines. J Transl Med. 2015;13:324. doi: 10.1186/s12967-015-0680-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Bighin C, Pronzato P, Del Mastro L. Trastuzumab emtansine in the treatment of HER-2-positive metastatic breast cancer patients. Future Oncol. 2013;9:955–957. doi: 10.2217/fon.13.74. [DOI] [PubMed] [Google Scholar]
  • 3.Amadori D, Milandri C, Comella G, Saracchini S, Salvagni S, Barone C, Bordonaro R, Gebbia V, Barbato A, Serra P, Gattuso D, Nanni O, Baconnet B, Gasparini G. A phase I/II trial of non-pegylated liposomal doxorubicin, docetaxel and trastuzumab as first-line treatment in HER-2-positive locally advanced or metastatic breast cancer. Eur J Cancer. 2011;47:2091–2098. doi: 10.1016/j.ejca.2011.05.005. [DOI] [PubMed] [Google Scholar]
  • 4.Herrera-Solorio AM, Armas-Lopez L, Arrieta O, Zuniga J, Pina-Sanchez P, Avila-Moreno F. Histone code and long non-coding RNAs (lncRNAs) aberrations in lung cancer: implications in the therapy response. Clin Epigenetics. 2017;9:98. doi: 10.1186/s13148-017-0398-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Li Z, Qian J, Li J, Zhu C. Knockdown of lncRNA-HOTAIR downregulates the drug-resistance of breast cancer cells to doxorubicin via the PI3K/AKT/mTOR signaling pathway. Exp Ther Med. 2019;18:435–442. doi: 10.3892/etm.2019.7629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Arshi A, Sharifi FS, Khorramian Ghahfarokhi M, Faghih Z, Doosti A, Ostovari S, Mahmoudi Maymand E, Ghahramani Seno MM. Expression analysis of MALAT1, GAS5, SRA, and NEAT1 lncRNAs in breast cancer tissues from young women and women over 45 years of age. Mol Ther Nucleic Acids. 2018;12:751–757. doi: 10.1016/j.omtn.2018.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Zhu HY, Bai WD, Ye XM, Yang AG, Jia LT. Long non-coding RNA UCA1 desensitizes breast cancer cells to trastuzumab by impeding miR-18a repression of Yes-associated protein 1. Biochem Biophys Res Commun. 2018;496:1308–1313. doi: 10.1016/j.bbrc.2018.02.006. [DOI] [PubMed] [Google Scholar]
  • 8.Shi SJ, Wang LJ, Yu B, Li YH, Jin Y, Bai XZ. LncRNA-ATB promotes trastuzumab resistance and invasion-metastasis cascade in breast cancer. Oncotarget. 2015;6:11652–11663. doi: 10.18632/oncotarget.3457. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Han M, Gu Y, Lu P, Li J, Cao H, Li X, Qian X, Yu C, Yang Y, Yang X, Han N, Dou D, Hu J, Dong H. Exosome-mediated lncRNA AFAP1-AS1 promotes trastuzumab resistance through binding with AUF1 and activating ERBB2 translation. Mol Cancer. 2020;19:26. doi: 10.1186/s12943-020-1145-5. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 10.Pereira B, Billaud M, Almeida R. RNA-binding proteins in cancer: old players and new actors. Trends Cancer. 2017;3:506–528. doi: 10.1016/j.trecan.2017.05.003. [DOI] [PubMed] [Google Scholar]
  • 11.Upadhyay R, Sanduja S, Kaza V, Dixon DA. Genetic polymorphisms in RNA binding proteins contribute to breast cancer survival. Int J Cancer. 2013;132:E128–138. doi: 10.1002/ijc.27789. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Huang G, Song C, Wang N, Qin T, Sui S, Obr A, Zeng L, Wood TL, LeRoith D, Li M, Wu Y. RNA-binding protein CUGBP1 controls the differential INSR splicing in molecular subtypes of breast cancer cells and affects cell aggressiveness. Carcinogenesis. 2020;41:1294–1305. doi: 10.1093/carcin/bgz141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Zhou XJ, Wu J, Shi L, Li XX, Zhu L, Sun X, Qian JY, Wang Y, Wei JF, Ding Q. PTEN expression is upregulated by a RNA-binding protein RBM38 via enhancing its mRNA stability in breast cancer. J Exp Clin Cancer Res. 2017;36:149. doi: 10.1186/s13046-017-0620-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Ueno T, Masuda N, Kamigaki S, Morimoto T, Saji S, Imoto S, Sasano H, Toi M. Differential involvement of autophagy and apoptosis in response to chemoendocrine and endocrine therapy in breast cancer: JBCRG-07TR. Int J Mol Sci. 2019;20:984. doi: 10.3390/ijms20040984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Yu T, Guo F, Yu Y, Sun T, Ma D, Han J, Qian Y, Kryczek I, Sun D, Nagarsheth N, Chen Y, Chen H, Hong J, Zou W, Fang JY. Fusobacterium nucleatum promotes chemoresistance to colorectal cancer by modulating autophagy. Cell. 2017;170:548–563. e516. doi: 10.1016/j.cell.2017.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Islam Khan MZ, Tam SY, Law HKW. Autophagy-modulating long non-coding RNAs (LncRNAs) and their molecular events in cancer. Front Genet. 2018;9:750. doi: 10.3389/fgene.2018.00750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Dong H, Wang W, Mo S, Chen R, Zou K, Han J, Zhang F, Hu J. SP1-induced lncRNA AGAP2-AS1 expression promotes chemoresistance of breast cancer by epigenetic regulation of MyD88. J Exp Clin Cancer Res. 2018;37:202. doi: 10.1186/s13046-018-0875-3. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 18.Seymour L, Bogaerts J, Perrone A, Ford R, Schwartz LH, Mandrekar S, Lin NU, Litiere S, Dancey J, Chen A, Hodi FS, Therasse P, Hoekstra OS, Shankar LK, Wolchok JD, Ballinger M, Caramella C, de Vries EGE RECIST working group. iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics. Lancet Oncol. 2017;18:e143–e152. doi: 10.1016/S1470-2045(17)30074-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Dong H, Hu J, Zou K, Ye M, Chen Y, Wu C, Chen X, Han M. Activation of LncRNA TINCR by H3K27 acetylation promotes Trastuzumab resistance and epithelial-mesenchymal transition by targeting MicroRNA-125b in breast cancer. Mol Cancer. 2019;18:3. doi: 10.1186/s12943-018-0931-9. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 20.Liu L, Yan L, Liao N, Wu WQ, Shi JL. A review of ULK1-mediated autophagy in drug resistance of cancer. Cancers (Basel) 2020;12:352. doi: 10.3390/cancers12020352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Xu R, Ji Z, Xu C, Zhu J. The clinical value of using chloroquine or hydroxychloroquine as autophagy inhibitors in the treatment of cancers: a systematic review and meta-analysis. Medicine (Baltimore) 2018;97:e12912. doi: 10.1097/MD.0000000000012912. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Lorenz R, Bernhart SH, Honer Zu Siederdissen C, Tafer H, Flamm C, Stadler PF, Hofacker IL. ViennaRNA Package 2.0. Algorithms Mol Biol. 2011;6:26. doi: 10.1186/1748-7188-6-26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Bakheet T, Hitti E, Al-Saif M, Moghrabi WN, Khabar KSA. The AU-rich element landscape across human transcriptome reveals a large proportion in introns and regulation by ELAVL1/HuR. Biochim Biophys Acta Gene Regul Mech. 2018;1861:167–177. doi: 10.1016/j.bbagrm.2017.12.006. [DOI] [PubMed] [Google Scholar]
  • 24.Sewing S, Gubler M, Gerard R, Avignon B, Mueller Y, Braendli-Baiocco A, Odin M, Moisan A. GalNAc conjugation attenuates the cytotoxicity of antisense oligonucleotide drugs in renal tubular cells. Mol Ther Nucleic Acids. 2019;14:67–79. doi: 10.1016/j.omtn.2018.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Li N, Deng Y, Zhou L, Tian T, Yang S, Wu Y, Zheng Y, Zhai Z, Hao Q, Song D, Zhang D, Kang H, Dai Z. Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017. J Hematol Oncol. 2019;12:140. doi: 10.1186/s13045-019-0828-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Tian T, Wang M, Lin S, Guo Y, Dai Z, Liu K, Yang P, Dai C, Zhu Y, Zheng Y, Xu P, Zhu W, Dai Z. The impact of lncRNA dysregulation on clinicopathology and survival of breast cancer: a systematic review and meta-analysis. Mol Ther Nucleic Acids. 2018;12:359–369. doi: 10.1016/j.omtn.2018.05.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Huang P, Li F, Li L, You Y, Luo S, Dong Z, Gao Q, Wu S, Brunner N, Stenvang J. lncRNA profile study reveals the mRNAs and lncRNAs associated with docetaxel resistance in breast cancer cells. Sci Rep. 2018;8:17970. doi: 10.1038/s41598-018-36231-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Verma S, Miles D, Gianni L, Krop IE, Welslau M, Baselga J, Pegram M, Oh DY, Dieras V, Guardino E, Fang L, Lu MW, Olsen S, Blackwell K, Group ES. Trastuzumab emtansine for HER2-positive advanced breast cancer. N Engl J Med. 2012;367:1783–1791. doi: 10.1056/NEJMoa1209124. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Perez EA, de Haas SL, Eiermann W, Barrios CH, Toi M, Im YH, Conte PF, Martin M, Pienkowski T, Pivot XB, Burris HA 3rd, Stanzel S, Patre M, Ellis PA. Relationship between tumor biomarkers and efficacy in MARIANNE, a phase III study of trastuzumab emtansine +/- pertuzumab versus trastuzumab plus taxane in HER2-positive advanced breast cancer. BMC Cancer. 2019;19:517. doi: 10.1186/s12885-019-5687-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Gallardo A, Lerma E, Escuin D, Tibau A, Munoz J, Ojeda B, Barnadas A, Adrover E, Sanchez-Tejada L, Giner D, Ortiz-Martinez F, Peiro G. Increased signalling of EGFR and IGF1R, and deregulation of PTEN/PI3K/Akt pathway are related with trastuzumab resistance in HER2 breast carcinomas. Br J Cancer. 2012;106:1367–1373. doi: 10.1038/bjc.2012.85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Shetty P, Patil VS, Mohan R, D’souza LC, Bargale A, Patil BR, Dinesh US, Haridas V, Kulkarni SP. Annexin A2 and its downstream IL-6 and HB-EGF as secretory biomarkers in the differential diagnosis of Her-2 negative breast cancer. Ann Clin Biochem. 2017;54:463–471. doi: 10.1177/0004563216665867. [DOI] [PubMed] [Google Scholar]
  • 32.Montemurro F, Prat A, Rossi V, Valabrega G, Sperinde J, Peraldo-Neia C, Donadio M, Galvan P, Sapino A, Aglietta M, Baselga J, Scaltriti M. Potential biomarkers of long-term benefit from single-agent trastuzumab or lapatinib in HER2-positive metastatic breast cancer. Mol Oncol. 2014;8:20–26. doi: 10.1016/j.molonc.2013.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ponde N, Bradbury I, Lambertini M, Ewer M, Campbell C, Ameels H, Zardavas D, Di Cosimo S, Baselga J, Huober J, Izquierdo M, Fumagalli D, Bozovic-Spasojevic I, Maetens M, Harbeck N, Pusztai L, Berghorn M, Im YH, Borrego MR, Chen DR, Rodeheffer R, Piccart M, Suter T, de Azambuja E. Cardiac biomarkers for early detection and prediction of trastuzumab and/or lapatinib-induced cardiotoxicity in patients with HER2-positive early-stage breast cancer: a NeoALTTO sub-study (BIG 1-06) Breast Cancer Res Treat. 2018;168:631–638. doi: 10.1007/s10549-017-4628-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Ghoveud E, Teimuri S, Vatandoost J, Hosseini A, Ghaedi K, Etemadifar M, Nasr Esfahani MH, Megraw TL. Potential biomarker and therapeutic LncRNAs in multiple sclerosis through targeting memory B cells. Neuromolecular Med. 2020;22:111–120. doi: 10.1007/s12017-019-08570-6. [DOI] [PubMed] [Google Scholar]
  • 35.Storti CB, de Oliveira RA, de Carvalho M, Hasimoto EN, Cataneo DC, Cataneo AJM, De Faveri J, Vasconcelos EJR, Dos Reis PP, Cano MIN. Telomere-associated genes and telomeric lncRNAs are biomarker candidates in lung squamous cell carcinoma (LUSC) Exp Mol Pathol. 2020;112:104354. doi: 10.1016/j.yexmp.2019.104354. [DOI] [PubMed] [Google Scholar]
  • 36.Kang M, Ren M, Li Y, Fu Y, Deng M, Li C. Exosome-mediated transfer of lncRNA PART1 induces gefitinib resistance in esophageal squamous cell carcinoma via functioning as a competing endogenous RNA. J Exp Clin Cancer Res. 2018;37:171. doi: 10.1186/s13046-018-0845-9. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 37.Zhang W, Cai X, Yu J, Lu X, Qian Q, Qian W. Exosome-mediated transfer of lncRNA RP11838N2.4 promotes erlotinib resistance in non-small cell lung cancer. Int J Oncol. 2018;53:527–538. doi: 10.3892/ijo.2018.4412. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 38.Sun W, Li J, Zhou L, Han J, Liu R, Zhang H, Ning T, Gao Z, Liu B, Chen X, Ba Y. The c-Myc/miR-27b-3p/ATG10 regulatory axis regulates chemoresistance in colorectal cancer. Theranostics. 2020;10:1981–1996. doi: 10.7150/thno.37621. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Chang TC, Yu D, Lee YS, Wentzel EA, Arking DE, West KM, Dang CV, Thomas-Tikhonenko A, Mendell JT. Widespread microRNA repression by Myc contributes to tumorigenesis. Nat Genet. 2008;40:43–50. doi: 10.1038/ng.2007.30. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Jo YK, Kim SC, Park IJ, Park SJ, Jin DH, Hong SW, Cho DH, Kim JC. Increased expression of ATG10 in colorectal cancer is associated with lymphovascular invasion and lymph node metastasis. PLoS One. 2012;7:e52705. doi: 10.1371/journal.pone.0052705. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Xie K, Liang C, Li Q, Yan C, Wang C, Gu Y, Zhu M, Du F, Wang H, Dai J, Liu X, Jin G, Shen H, Ma H, Hu Z. Role of ATG10 expression quantitative trait loci in non-small cell lung cancer survival. Int J Cancer. 2016;139:1564–1573. doi: 10.1002/ijc.30205. [DOI] [PubMed] [Google Scholar]
  • 42.Cao QH, Liu F, Yang ZL, Fu XH, Yang ZH, Liu Q, Wang L, Wan XB, Fan XJ. Prognostic value of autophagy related proteins ULK1, Beclin 1, ATG3, ATG5, ATG7, ATG9, ATG10, ATG12, LC3B and p62/SQSTM1 in gastric cancer. Am J Transl Res. 2016;8:3831–3847. [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhang J, Kong L, Guo S, Bu M, Guo Q, Xiong Y, Zhu N, Qiu C, Yan X, Chen Q, Zhang H, Zhuang J, Wang Q, Zhang SS, Shen Y, Chen M. hnRNPs and ELAVL1 cooperate with uORFs to inhibit protein translation. Nucleic Acids Res. 2017;45:2849–2864. doi: 10.1093/nar/gkw991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Luo N, Zhang K, Li X, Hu Y. ZEB1 induced-upregulation of long noncoding RNA ZEB1-AS1 facilitates the progression of triple negative breast cancer by binding with ELAVL1 to maintain the stability of ZEB1 mRNA. J Cell Biochem. 2020;121:4176–4187. doi: 10.1002/jcb.29572. [DOI] [PubMed] [Google Scholar]
  • 45.Chen R, Zhang X, Wang C. LncRNA HOXB-AS1 promotes cell growth in multiple myeloma via FUT4 mRNA stability by ELAVL1. J Cell Biochem. 2020;121:4043–4051. doi: 10.1002/jcb.29573. [DOI] [PubMed] [Google Scholar]

Associated Data

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

Supplementary Materials

ajcr0011-1962-f10.pdf (236.7KB, pdf)

Articles from American Journal of Cancer Research are provided here courtesy of e-Century Publishing Corporation

RESOURCES