Literature DB >> 35088889

Knockdown of ATG4A inhibits breast cancer progression and promotes tamoxifen chemosensitivity by suppressing autophagy.

Qingfang Li1, Lingling Zan2.   

Abstract

Autophagy‑related 4A (ATG4A) is an autophagy regulator. The current study investigated the role of ATG4A in the development of tamoxifen‑resistant breast cancer. ATG4A expression was assessed in tumor and adjacent normal tissue obtained from The Cancer Genome Atlas database. Analyses of the disease‑free survival between the ATG4A high and low expression groups was then evaluated in patients with breast cancer. Cell viability and apoptosis in MCF7/R cells was detected using Cell Counting Kit‑8 assay and flow cytometry, respectively. Gene set enrichment analysis identified the pathway responsible for the effects of ATG4A. The protein expression of ATG4A, LC3, p62, Bcl‑2, Bax, GSK‑3β, phosphorylated (p)‑GSK‑3β, β‑catenin, cyclinD1 and c‑myc in MCF and MCF7/R cells was determined using western blot. In this study, ATG4A expression was increased in the tumor tissues, and a higher ATG4A expression exhibited poor disease‑free survival. While 4‑hydroxytamoxifen (4‑OHT) increased ATG4A expression in MCF7 and MCF7/R cells, ATG4A expression decreased in the cells treated with 3‑methyladenine (3MA). Treatment with 4‑OHT and rapamycin (an autophagy activator) increased the LC3‑II/LC3‑I ratio, LC3 puncta number and decreased the level of p62 in MCF7/R cells. However, the effects of 4‑OHT and rapamycin were reversed by 3MA and knockdown of ATG4A, respectively. After treatment with 4‑OHT, knockdown of ATG4A suppressed proliferation, triggered apoptosis, decreased the expression of Bcl‑2, β‑catenin, cyclin D1 and c‑myc, and increased the expression of Bax and p‑GSK3β in MCF7/R cells. Moreover, SKL2001, an activator of the Wnt/β‑catenin signaling pathway, reversed the effects of ATG4A knockdown on cell viability and apoptosis in MCF7/R cells. In conclusion, the knockdown of ATG4A inhibited the anticancer effects of 4‑OHT in breast cancer.

Entities:  

Keywords:  autophagy; autophagy‑related 4A; breast cancer; tamoxifen

Mesh:

Substances:

Year:  2022        PMID: 35088889      PMCID: PMC8822883          DOI: 10.3892/mmr.2022.12617

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


Introduction

Breast cancer is the leading cause of cancer-associated mortality (mortality rate, 11.6%) in women worldwide (1). A total of ~80% of breast tumors are estrogen receptor (ER) positive and often respond to chemotherapeutic agents, such as tamoxifen, which is a selective ER modulator (2). Tamoxifen induces cell cycle arrest and inhibits tumor growth (3,4); therefore, tamoxifen therapy reduces breast cancer recurrence (5). However, tamoxifen resistance limits its clinical applications (6) and the potential mechanisms underlying tamoxifen resistance remain unclear. Autophagy can cause drug resistance, and thus lead to a reduction in the benefits of chemotherapy (7). Alterations in autophagy have been considered to be a mechanism of tamoxifen resistance (8). The synthetic ER antagonist 4-hydroxytamoxifen (4-OHT) induces autophagy and decreases apoptosis in ER-positive breast cancer cells (9). To date, >30 autophagy-related genes have been identified (10). Among them, autophagy-related (ATG) protein 4 (ATG4), a cysteine protease, serves an important role in the ATG8/LC3 lipid conjugation system, which is essential for the late step of autophagosome formation (11). The human genome contains four ATG4 homologous genes: ATG4A, ATG4B, ATG4C and ATG4D (12). Previous studies have reported that ATG4A cleaves gamma-aminobutyric acid receptor-associated protein subfamily isoforms (a subfamily of the ATG8 proteins) (11,13). ATG4A is overexpressed in multiple human cancers, such as osteosarcoma (14) and gastric cancer (15), and its overexpression is often associated with the progression of malignancy. A previous study has reported that ATG4A participates in stem cell maintenance during breast cancer (16). Therefore, an improved understanding of the role of ATG4A during tamoxifen resistance would be beneficial in treatment planning for patients undergoing chemotherapy to treat breast cancer. In the present study, it was aimed to investigate whether interference with ATG4A could affect autophagy and 4-OHT sensitivity in breast cancer cell lines and elucidate its underlying molecular mechanisms.

Materials and methods

Cell culture and treatment

Human breast cancer MCF7 cells (The Cell Bank of Type Culture Collection of The Chinese Academy of Sciences) were cultured in DMEM: F-12 (HyClone; Cytiva) containing 10% FBS (HyClone; Cytiva), 100 U/ml penicillin (Thermo Fisher Scientific, Inc.), 100 mg/ml streptomycin (Thermo Fisher Scientific, Inc.), 2 mM GlutaMax (HyClone; Cytiva) and 6 ng/ml insulin (HyClone; Cytiva) at 37°C and 5% CO2. MCF7/TAMR-7 cells (MCF7/R; Ximbio), which are tamoxifen-resistant, were cultured in the presence of 1 µM 4-OHT (Sigma-Aldrich; Merck KGaA) under the same conditions as aforementioned. MCF7 and MCF7/R cells were divided into control, 4-OHT and 4-OHT+3-methyladenine (3MA) groups. Cells in the 4-OHT group were treated with 10 µM 4-OHT with DMSO as the vehicle. Cells in 4-OHT+3-MA group were treated with 10 µM 4-OHT and 1 mM 3MA (Sigma-Aldrich; Merck KGaA) with DMSO as the vehicle. MCF7/R cells in rapamycin group were treated with 10 nM rapamycin (Selleck Chemicals) with DMSO as the vehicle. Cells in control group were treated with DMSO in follow up experiments.

Lentiviral infection and treatment

Lentiviral plasmid (GV248; GeneChem, Inc.) carrying the knockdown vector of ATG4A [short hairpin (sh)-ATG4A] and empty vector were purchased from Shanghai GenePharma Co., Ltd. The sequences of sh-ATG4A and sh-negative control (NC) were as follows: sh-ATG4A sense, 5′-GGATGTTTGAATTAGTTCA-3′ and antisense, 5′-TGAACTAATTCAAACATCC-3′; and sh-NC sense, 5′-TTCTCCGAACGTGTCACGTTT-3′ and antisense, 5′-ACGTGACACGTTCGGAGAATT-3′. A second-generation system was used in this experiment. Briefly, 293T cells (The Cell Bank of Type Culture Collection of The Chinese Academy of Sciences) were seeded into six-well plates (4×105 cells/well) and transfected with lentiviral plasmid, psPAX2 (Biovector NTCC Inc.) and PMD2G (Biovector NTCC Inc.) in the following ratio: 10:7.5:2.5 µg. Transfection was conducted using lipofectamine® 2000 (Invitrogen; Thermo Fisher Scientific, Inc.) at 37°C for 48 h. Next, lentiviral particles were collected after centrifugation at 50,000 × g for 2 h. MCF7/R cells (5×104 cells/well) were seeded into 24-well plates and then infected with lentivirus supernatant (1×108 TU/ml) at a multiplicity of infection of 20 in the presence of 8 mg/ml polybrene (MilliporeSigma). After 48 h of incubation, stably transfected cell lines were selected with 2.5 µg/ml puromycin (Sigma-Aldrich; Merck KGaA) for 1 week. The stably transfected cell lines were maintained under 0.5 µg/ml puromycin. After transfection for 24 h, subsequent experiments were performed. Cells were treated with 4-OHT (10 µM). Additionally, 20 µM SKL2001 (MedChemExpress) was added to the 4-OHT + sh-ATG4A group.

Cell Counting Kit-8 (CCK-8) assay

MCF7/R cells (2×103 cells/well) were incubated at 37°C and 5% CO2 for 24 h after exposure to tamoxifen (10 µM). The cells were then cultured with 10 µl CCK-8 solution (Beyotime Institute of Biotechnology) for 2 h at 37°C. The absorbance was measured at 450 nm using a microplate reader (Dynex Technologies, Inc.).

Flow cytometric analysis of apoptosis

According to the manufacturer's instructions, cell apoptosis was detected using an Annexin V-FITC kit (Beyotime Institute of Biotechnology). Briefly, MCF-7/R cells (5×104 cells/well) were harvested and centrifuged at 1,000 × g for 5 min at room temperature. Cells were then stained with Annexin V-FITC and propidium iodide for 15 min at room temperature in the dark. Finally, apoptosis was analyzed using a BD Accuri™ C6 Plus flow cytometer (BD Biosciences) and the rate of apoptosis was calculated using BD Accuri C6 Software (BD Biosciences).

Green fluorescent protein (GFP)-LC3 analysis

MCF7 and MCF7/R cells were seeded into 12-well plates (6×104 cells/well) at 37°C overnight, and then transfected with the GFP-LC3 expression plasmids (2 µg/l; LC3; Hanbio Biotechnology Co., Ltd.) using lipofectamine® 2000 at 37°C for 24 h. After transfection for 24 h, cells were treated with 4-OHT (10 µM), 3MA (1 mM) or rapamycin (10 nM) for 24 h. Cells were then fixed with 4% formaldehyde for 10 min at room temperature and observed under a confocal microscope (Leica Microsystems GmbH). The number of LC3 puncta was counted using at least 20 cells from six randomly selected fields, and each experiment was repeated three times.

Western blot analysis

MCF7 and MCF7/R cells were lysed in a RIPA lysis buffer (Sigma-Aldrich; Merck KGaA). According to the manufacturer's protocol, NE-PER nuclear and cytoplasmic extraction reagents (Thermo Scientific Pierce) was used to extract nuclear and cytoplasmic protein from MCF7/R cells. Equal amounts of protein samples (30 µg per lane) were separated via 12% SDS-PAGE and transferred to PVDF membranes (EMD Millipore). After blocking using TBS with 0.05% Tween-20 (TBST) containing 5% non-fat milk at room temperature for 2 h, the membranes were incubated with the following primary antibodies: ATG4A (cat. no. ab108322; 1:1,000; Abcam), LC3 (cat. no. 3868, 1:1,000), p62 (cat. no. 8025; 1:1,000), phosphorylated (p)-GSK-3β (cat. no. 9322; 1:1,000; all from Cell Signaling Technology, Inc.), GSK-3β (cat. no. ab32391; 1:1,000; Abcam), β-catenin (cat. no. 8480; 1:1,000; Cell Signaling Technology, Inc.), cyclin D1 (cat. no. 55506, 1:1,000; Cell Signaling Technology, Inc.), c-myc (cat. no. ab32072; 1:1,000; Abcam), Bax (cat. no. 5023; 1:1,000), Bcl-2 (cat. no. 3498; 1:1,000), GAPDH (cat. no. 5174; 1:1,000), histone H3 (cat. no. 4499; 1:1,000; all from Cell Signaling Technology, Inc.) and β-actin (cat. no. ab179467; 1:1,000; Abcam) at 4°C overnight. After washing with TBST, the membranes were incubated with horseradish peroxidase-labelled secondary antibody (cat. no. 7074; 1:2,000; Cell Signaling Technology, Inc.) at room temperature for 1 h. The bands were visualized using Pierce™ ECL Plus Western Blotting Substrate (Pierce; Thermo Fisher Scientific, Inc.) and detected with ImageJ v1.8.0 (National Institutes of Health).

Immunofluorescence

MCF7/R cells were fixed with 4% paraformaldehyde for 20 min at room temperature and incubated with 0.3% Triton X-100 for 30 min at room temperature. The cells were incubated with primary antibodies targeting β-catenin (1:200; cat. no. 8480; Cell Signaling Technology, Inc.) overnight at 4°C and then incubated with goad anti-rabbit Alexa Fluor 488 (1:300; cat. no. A11008; Thermo Fisher Scientific, Inc.) for 1 h at 37°C. The cells were then incubated with 5 µg/ml DAPI for 20 min at room temperature and observed under a fluorescence microscope (Leica Microsystems GmbH).

The Cancer Genome Atlas (TCGA) database analysis

ATG4A expression data were obtained from the TCGA database (https://tcga-data.nci.nih.gov/tcga/) using the R package TCGAbiolinks (17). These data included 1,097 breast cancer samples and 114 adjacent normal samples. Subsequently, the clinical information of 439 patients with breast cancer were downloaded from the TCGA database. After excluding 8 patients with breast cancer with incomplete relevant information, 431 patients were divided into two groups based on the median value of ATG4A levels. The clinical characteristics (age and TNM stage) of the patients were analyzed. After excluding 73 patients with breast cancer with an overall survival ≤30 days, 358 patients with breast cancer were divided into two groups (high and low) based on a group cut-off of ‘quartile’. Survival analysis was performed with the R package ‘survival’ (18) using the Kaplan-Meier method.

Gene set enrichment analysis (GSEA)

To further explore the pathway in which ATG4A may be involved, the Molecular Signatures Database (v7.4; http://www.gsea-msigdb.org/gsea/msigdb/index.jsp) hallmark gene set was used to perform GSEA. GSEA parameters were set as follows: Number of permutations=1,000; permutation type=gene_set; enrichment statistic=weighted; metric for ranking genes=Signal2Noise. Gene sets with a positive (or negative) enrichment score and P<0.05 after 1,000 permutations were considered as significantly enriched gene sets.

Statistical analysis

Data are presented as the mean ± standard deviation of three experiments. Computer-based calculations were conducted using GraphPad Prism 7 (GraphPad Software, Inc.). Statistical analysis was performed using unpaired Student's t-test and one-way analysis of variance with Tukey's post hoc test. χ2 test was used to assess the relationship between ATG4A expression and clinicopathological features in patients with breast cancer. Kaplan-Meier analysis was performed using log-rank test. P<0.05 was considered to indicate a statistically significant difference.

Results

ATG4A levels are associated with the survival of patients with breast cancer in The Cancer Genome Atlas (TCGA) database

To investigate the clinical relevance of ATG4A expression, ATG4A expression in TCGA database was firstly analyzed. The results revealed that the expression of ATG4A was higher in breast cancer tissues than in a number of adjacent normal tissues (Fig. 1A). Subsequently, the clinical characteristics (age and TNM stage) of the patients were analyzed. As demonstrated in Table I, high expression of ATG4A was significantly associated with age, but not with TNM stage. In addition, the results of Kaplan-Meier survival analysis revealed that patients with a higher ATG4A expression exhibited poor disease-free survival (Fig. 1B). These results indicated that ATG4A may be involved in the pathogenesis of breast cancer.
Figure 1.

ATG4A is associated with the survival of patients with breast cancer in the TCGA database. (A) ATG4A expression in primary solid tumor tissue (tumor; 1,097) and adjacent normal solid tissue (normal; 114) were downloaded from TCGA database. (B) Kaplan-Meier survival analysis of disease-free survival between the ATG4A high and low expression groups in 358 patients with breast cancer from TCGA database. ATG4A, autophagy-related 4A; TCGA, The Cancer Genome Atlas.

Table I.

Relationship between ATG4A expression and clinicopathological features in patients with breast cancer.

ATG4A

CharacteristicLow expression, nHigh expression, nP-value
Age, years0.0006
  <50  89  55
  ≥50127160
TNM stage0.5786
  I/II166170
  III/IV  50  45

ATG4A, autophagy-related 4A.

ATG4A expression and autophagy are enhanced in MCF7/R cells

To explore the molecular mechanism of 4-OHT resistance in breast cancer cells, a 4-OHT-resistant breast cancer cell line (MCF7/R) was used. It was investigated whether ATG4A mediated the regulatory effect of autophagy on 4-OHT resistance in breast cancer. MCF7 and MCF7/R cells were treated with the autophagy inhibitor 3MA and the expression of ATG4A and autophagy genes in vitro was detected. The results revealed that treatment with 4-OHT increased ATG4A expression in MCF7 and MCF7/R cells compared with control group, while treatment with 3MA decreased ATG4A expression compared with 4-OHT group (Fig. 2A). The LC3-II/LC3-I ratio increased and the level of p62 decreased in MCF7/R cells compared with that in MCF7 cells. Compared with control group, treatment with 4-OHT significantly increased the LC3-II/LC3-I ratio and decreased the level of p62, particularly in MCF7/R cells; however, this effect of 4-OHT was reversed by 3MA (Fig. 2B). In addition, the number of LC3 puncta increased in MCF7 and MCF7/R cells after treatment with 4-OHT, but decreased after treatment with 3MA (Fig. 2C).
Figure 2.

ATG4A expression and autophagy are enhanced in MCF7/R cells. The expression of (A) ATG4A and (B) LC3 and p62 in MCF and MCF7/R cells was determined using western blot analysis. (C) The number of LC3-puncta in MCF and MCF7/R cells was counted (scale bar, 100 µm). *P<0.05, **P<0.01 vs. control group; #P<0.05 and ##P<0.01 vs. 4-OHT group. ATG4A, autophagy-related 4A; 4-OHT, 4-hydroxytamoxifen; 3MA, 3-methyladenine; GFP, green fluorescent protein.

ATG4A knockdown enhances the sensitivity of breast cancer cells to 4-OHT

To investigate the role of ATG4 in 4-OHT resistance in breast cancer cells, MCF7/R cells were transfected with sh-ATG4 to establish a stable knockdown ATG4A cell line. As demonstrated in Fig. 3A and B, ATG4A expression was significantly inhibited in MCF7/R cells transfected with sh-ATG4. CCK-8 and flow cytometric apoptosis analysis revealed that there was no significant difference in cell viability and apoptosis between the control and 4-OHT groups, while the knockdown of ATG4A reduced viability and apoptosis in MCF7/R cells treated with 4-OHT (Fig. 3C and D). Additionally, the expression of apoptosis-related proteins (Bcl-2 and Bax) was analyzed via western blot analysis. The results demonstrated that the knockdown of ATG4A decreased Bcl-2 expression and increased Bax expression (Fig. 3E).
Figure 3.

Knockdown of ATG4A enhances the sensitivity of breast cancer cells to tamoxifen. (A and B) The expression of ATG4A in MCF7/R cells was determined using western blot analysis. (C) Cell viability was detected with Cell Counting Kit-8 assay. (D) Apoptosis was detected using flow cytometric analysis. (E) The expression of apoptosis-related proteins (Bcl-2 and Bax) was analyzed using western blot analysis. **P<0.01 vs. control group; ##P<0.01 vs. 4-OHT + sh-NC group. ATG4A, autophagy-related 4A; 4-OHT, 4-hydroxytamoxifen; sh-, short hairpin; NC, negative control.

ATG4A knockdown attenuates tamoxifen-induced autophagy

Previous studies have demonstrated that ATG4A is closely related to autophagy (19–21). However, the role of ATG4A during autophagy in breast cancer cells remains unclear. To further confirm the role of ATG4A in autophagy, MCF7/R cells were transfected with sh-ATG4 to perform loss-of-function analysis. As revealed in Fig. 4A and C, after treatment with 4-OHT, the knockdown of ATG4A decreased the LC3-II/LC3-I ratio, increased the level of p62, and decreased the number of LC3 puncta compared with 4-OHT + sh-NC group. After treatment with rapamycin (an autophagy activator), the LC3II/LC3I ratio increased, p62 level decreased, and the number of LC3 puncta increased compared with control group. The knockdown of ATG4A reversed the effect of rapamycin on the LC3-II/LC3-I ratio, level of p62 and number of LC3 puncta (Fig. 4B and D).
Figure 4.

ATG4A knockdown attenuates tamoxifen-induced autophagy in MCF7/R cells. (A) After treatment with 4-OHT, the expression of LC3 and p62 in MCF7/R cells was determined using western blot analysis. (B) After treatment with rapamycin, the expression of LC3 and p62 in MCF7/R cells was determined using western blot analysis. (C) After treatment with 4-OHT, the number of LC3-puncta in MCF7/R cells was counted (scale bar, 100 µm). (D) After treatment with rapamycin, the number of LC3-puncta in MCF7/R cells was counted (scale bar, 100 µm). **P<0.01 vs. control group; ##P<0.01 vs. 4-OHT + sh-NC or rapamycin + sh-NC group. ATG4A, autophagy-related 4A; 4-OHT, 4-hydroxytamoxifen; sh-, short hairpin; NC, negative control.

ATG4A knockdown inhibits the Wnt/β-catenin pathway

To further explore the mechanism of ATG4A in breast cancer cells, GSEA was performed to identify the pathway responsible for the effects of ATG4A. The results indicated that ATG4A was enriched in the Wnt/β-catenin pathway (Fig. 5A). The Wnt/β-catenin pathway serves an important role in cancer progression and chemoresistance (22). Compared with the 4-OHT+sh-NC group, the knockdown of ATG4A increased p-GSK3β expression and decreased the expression of β-catenin, cyclin D1 and c-myc in MCF7/R cells (Fig. 5B). Compared with the 4-OHT+sh-NC group, the knockdown of ATG4A decreased the expression of β-catenin in the nucleus (Fig. 5C and D). SKL2001 is an activator of the Wnt/β-catenin signaling pathway (23). Treatment with SKL2001 reversed the effect of ATG4A knockdown on cell viability, apoptosis and the Wnt/β-catenin signaling pathway in MCF7/R cells (Fig. 5E-G).
Figure 5.

ATG4A knockdown dysregulates the Wnt/β-catenin pathway in MCF7/R cells. (A) Gene set enrichment analysis indicated the association between ATG4A and Wnt/β-catenin pathway. (B) The protein expression of p-GSK-3β, GSK-3β, β-catenin, cyclin D1 and c-myc was examined using western blot analysis. (C) ATG4A knockdown promoted the translocation of β-catenin from the nucleus to the cytoplasm in MCF7/R cells (scale bar, 100 µm). (D) ATG4A knockdown decreased β-catenin protein level in MCF7/R cells. (E) Cell viability was detected using Cell Counting Kit-8 assay. (F) Apoptosis was detected using flow cytometric analysis. (G) Western blot analysis was performed to detect the protein expression of β-catenin, cyclin D1 and c-myc. ^^P<0.01 vs. 4-OHT + sh-ATG4A group; #P<0.05 and ##P<0.01 vs. 4-OHT + sh-NC group. ATG4A, autophagy-related 4A; 4-OHT, 4-hydroxytamoxifen; sh-, short hairpin; NC, negative control; p, phosphorylated.

Discussion

Breast cancer is the most common malignant cancer in women (24). Although surgery and radiotherapy have been indicated to be curative for certain early stage cases, chemotherapy remains a common and essential therapeutic method in breast cancer (25,26). Long-term clinical observations have revealed that patients with breast cancer are more responsive to endocrine therapy agents, such as selective ER modulators (SERMs), aromatase inhibitors and selective ER downregulators (27,28). Tamoxifen, which is one of the SERMs, is a commonly used drug for treating ER positive breast cancer (4). However, the efficacy of tamoxifen is limited due to primary or acquired resistance (5,29–31). Thus, it is important to increase the sensitivity of breast cancer to tamoxifen. The present study suggested that downregulation of ATG4A inhibits the proliferation of breast cancer cells and overcomes tamoxifen resistance. ATG4A, which is an autophagy-regulating molecule, is overexpressed during malignant progression of cancer (32). For instance, ATG4A expression is increased in osteosarcoma tissues, and its overexpression enhances the proliferation of osteosarcoma cell lines (14). Yang et al (15) identified that the expression of ATG4A is upregulated in gastric cancer tissues and its overexpression promotes cell migration and invasion. The present study revealed that a higher expression of ATG4A was associated with a poor prognosis in breast cancer. In addition, an increase in ATG4A was observed in tamoxifen-resistant cells compared with the control group. Autophagy is a protective housekeeping mechanism that maintains cellular metabolism under nutrient-limiting conditions, which is implicated in tumor development (33). LC3 is commonly used as an indicator for detecting autophagy (34). During the formation of autophagosomes, LC3 is cleaved by ATG4 to form LC3-I, then cleaved-LC3 is conjugated with phosphatidylethanolamine to regulate the conversion of LC3-I to LC3-II. (35) Several studies suggested that ATG4 family members promote tumor progression. For example, the knockdown of ATG4B suppresses the survival of chronic myeloid leukemia cells, and promotes imatinib mesylate chemosensitivity by suppressing autophagy (36). The knockdown of ATG4C impairs autophagy, inhibits glioma progression, and sensitizes these cells to temozolomide (37). Studies have reported that 4-OHT stimulates autophagy in breast cancer, and inhibition of autophagy enhances the sensitivity of breast cancer cells to 4-OHT (2,38,39). In the present study, treatment with 4-OHT significantly increased the LC3-II/LC3-I ratio and decreased the level of p62 (a marker of autophagy), while the knockdown of ATG4A enhanced the sensitivity of breast cancer cells to 4-OHT by inhibiting autophagy. Consistent with the findings of the present study, another study reported that overexpression of microRNA-24-3p led to reduction in ATG4A expression, allowing etoposide/cisplatin-resistant small-cell lung cancer cells to become sensitive to etoposide and cisplatin (21). The Wnt/β-catenin pathway is one of the most crucial pathways in regulating proliferation, cell cycle and death (40). When the Wnt/β-catenin pathway is inactivated, nuclear β-catenin is transferred into the cytoplasm (41). Inhibition of GSK-3β phosphorylation promotes β-catenin degradation and changes the expression of cyclin D1 and c-myc (42). The results of the present study confirmed that ATG4A knockdown inhibited the Wnt/β-catenin pathway in MCF7/R cells treated with 4-OHT. Consistent with the present research, overexpression of protein crumbs homolog 3 enhances tamoxifen sensitivity of tamoxifen-resistant cells by inhibiting β-catenin signaling (43). MS-275 (a histone deacetylase inhibitor) combined with cisplatin has been indicated to inhibit cell proliferation and migration and increase cell apoptosis by regulating the Wnt/β-catenin pathway in esophageal squamous cell carcinoma cells (44). In addition, SKL2001, an agonist of the Wnt/β-catenin pathway, effectively rescued the ATG4A knockdown-mediated anti-proliferative effect of tamoxifen-resistant cells. Consistent with the current study, a previous study demonstrated that SKL2001 rescued the WSB2-WD repeat and SOCS box containing 2 knockdown-mediated inhibition of cell proliferation in melanoma (45). In summary, it was demonstrated that knockdown of ATG4A in tamoxifen-resistant cells reduced autophagy and suppressed the Wnt/β-catenin pathway. ATG4A may affect the response to tamoxifen therapy of patients with breast cancer.
  44 in total

1.  A role for macroautophagy in protection against 4-hydroxytamoxifen-induced cell death and the development of antiestrogen resistance.

Authors:  Julia S Samaddar; Virgil T Gaddy; Jennifer Duplantier; Sudharsan Periyasamy Thandavan; Manish Shah; Marlena J Smith; Darren Browning; Jim Rawson; Sylvia B Smith; John T Barrett; Patricia V Schoenlein
Journal:  Mol Cancer Ther       Date:  2008-09       Impact factor: 6.261

Review 2.  A Review on The Role of VEGF in Tamoxifen Resistance.

Authors:  Sepideh Mansouri; Nikta Feizi; Ali Mahdi; Keivan Majidzadeh-A; Leila Farahmand
Journal:  Anticancer Agents Med Chem       Date:  2018       Impact factor: 2.505

Review 3.  Modulating autophagy in cancer therapy: Advancements and challenges for cancer cell death sensitization.

Authors:  Punya Bhat; Jurgen Kriel; Babu Shubha Priya; Nanjunda Swamy Shivananju; Ben Loos
Journal:  Biochem Pharmacol       Date:  2017-12-02       Impact factor: 5.858

Review 4.  Tamoxifen a pioneering drug: An update on the therapeutic potential of tamoxifen derivatives.

Authors:  Irshad Ahmad
Journal:  Eur J Med Chem       Date:  2017-11-24       Impact factor: 6.514

5.  Neoadjuvant chemotherapy with cyclophosphamide, mitoxantrone, and 5-fluorouracil in locally advanced breast cancer.

Authors:  Kutlu Erol; Esmen Baltali; Kadri Altundag; Nilufer Guler; Yavuz Ozisik; Demir Ali Onat; Iskender Sayek; Mustafa Cengiz; Lale Atahan; Gülten Tekuzman
Journal:  Onkologie       Date:  2005-02

6.  Relevance of breast cancer hormone receptors and other factors to the efficacy of adjuvant tamoxifen: patient-level meta-analysis of randomised trials.

Authors:  C Davies; J Godwin; R Gray; M Clarke; D Cutter; S Darby; P McGale; H C Pan; C Taylor; Y C Wang; M Dowsett; J Ingle; R Peto
Journal:  Lancet       Date:  2011-07-28       Impact factor: 79.321

7.  MASTL induces Colon Cancer progression and Chemoresistance by promoting Wnt/β-catenin signaling.

Authors:  Srijayaprakash Babu Uppada; Saiprasad Gowrikumar; Rizwan Ahmad; Balawant Kumar; Bryan Szeglin; Xi Chen; J Joshua Smith; Surinder K Batra; Amar B Singh; Punita Dhawan
Journal:  Mol Cancer       Date:  2018-08-01       Impact factor: 27.401

8.  A mammosphere formation RNAi screen reveals that ATG4A promotes a breast cancer stem-like phenotype.

Authors:  Jonas Wolf; Dyah Laksmi Dewi; Johannes Fredebohm; Karin Müller-Decker; Christa Flechtenmacher; Jörg D Hoheisel; Michael Boettcher
Journal:  Breast Cancer Res       Date:  2013-11-14       Impact factor: 6.466

9.  Elevated CRB3 expression suppresses breast cancer stemness by inhibiting β-catenin signalling to restore tamoxifen sensitivity.

Authors:  Pingping Li; Chen Feng; He Chen; Yina Jiang; Fang Cao; Jie Liu; Peijun Liu
Journal:  J Cell Mol Med       Date:  2018-03-30       Impact factor: 5.310

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Authors:  Leila Jahangiri; Tala Ishola
Journal:  Int J Mol Sci       Date:  2022-05-09       Impact factor: 6.208

  1 in total

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