Role of SIPA1 in chemotherapy resistance in breast cancer cells
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ABSTRACT:
PROVIDER: PRJNA511676 | ENA |
REPOSITORIES: ENA
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Project description:SIPA1 is a potential transcriptional modulator of tumor metastasis and recurrence. Here we showed that the breast cancer patients with higher SIPA1 expression have a higher relapse rate and worse prognosis, especially for triple-negative breast cancer (TNBC) patients. Moreover, SIPA1 expression was found positively correlated with relapse of breast cancer patients receiving adjuvant chemotherapy. In a TNBC cell line MDA-MB-231, we identified the possible tumorigenesis and metastasis processes regulated by SIPA1, and demonstrated that SIPA1 promoted cancer stem-like feature to form tumourspheres. Tumoursphere-formed MDA-MB-231 cells were shown to be resistant to epirubicin. Then we confirmed that SIPA1 could particularly activate the CD44 promoter and upregulate CD44 expression. Furthermore, SIPA1 could promote ABCB1 expression and strengthen chemoresistance of MDA-MB-231 cells to epirubicin. In conclusion, SIPA1 is a risk factor for highly-relapse in TNBC patients and a transcriptional regulator to maintain cancer stem-like features and promote chemoresistance in breast cancer cells.
2018-12-25 | GSE124344 | GEO
Project description:Abstract Introduction Response rates to chemotherapy remain highly variable in breast cancer patients. We set out to identify genes associated with chemotherapy resistance. We analyzed what is currently the largest single-institute set of gene expression profiles derived from breast cancers prior to a single neoadjuvant chemotherapy regimen (dose-dense doxorubicine and cyclophophamide). Methods We collected, gene expression-profiled and analyzed 178 HER2-negative breast tumor biopsies (M-bM-^@M-^XNKI datasetM-bM-^@M-^Y). We employed a recently developed approach for detecting imbalanced differential signal (DIDS) in order to identify markers of resistance to treatment. In contrast to traditional methods, DIDS is able to identify markers that show aberrant expression in only a small subgroup of the non-responder samples. Results We found a number of markers of resistance to anthracycline-based chemotherapy. We validated our findings by the analysis of three external datasets, which contained 456 HER2-negative samples in total. Since these external sets included patients who received differing treatment regimens we could only validate markers of general chemotherapy resistance. There was a highly significant overlap in the markers identified in the NKI dataset and the other three datasets. Five resistance markers, SERPINA6, BEX1, AGTR1, SLC26A3, and LAPTM4B, were identified in three of the four datasets (p-value overlap <1e-6). These five genes identified resistant tumors that could not have been identified by merely taking ER-status or proliferation into account. Conclusion The identification of these genes might lead to a better understanding of the mechanisms involved in (clinically) observed chemotherapy resistance and could possibly assist in the recognition of breast cancers in which chemotherapy does not contribute to response or survival. We collected, gene expression profiled and analyzed 178 HER2-negative breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy.
2012-12-01 | E-GEOD-34138 | biostudies-arrayexpress
Project description:Individual cancers are composed of heterogeneous tumor cells with distinct phenotypes and genotypes, with triple negative breast cancers (TNBC) demonstrating the most heterogeneity among breast cancer types. Variability in transcriptional phenotypes could meaningfully limit the efficacy of monotherapies and fuel drug resistance, although to an unknown extent. To determine if transcriptional differences between tumor cells lead to differential drug responses we performed single cell RNA-seq on cell line and PDX models of breast cancer revealing cell subpopulations in states associated with resistance to standard-of-care therapies. We found that TNBC models contained a subpopulation in an inflamed cellular state, often also present in human breast cancer samples. Inflamed cells display evidence of heightened cGAS/STING signaling which we demonstrate is sufficient to cause tumor cell resistance to chemotherapy. Accordingly, inflamed cells were enriched in human tumors taken after neoadjuvant chemotherapy and associated with early recurrence, highlighting the potential for diverse tumor cell states to promote drug resistance.
2023-12-18 | GSE250156 | GEO
Project description:Individual cancers are composed of heterogeneous tumor cells with distinct phenotypes and genotypes, with triple negative breast cancers (TNBC) demonstrating the most heterogeneity among breast cancer types. Variability in transcriptional phenotypes could meaningfully limit the efficacy of monotherapies and fuel drug resistance, although to an unknown extent. To determine if transcriptional differences between tumor cells lead to differential drug responses we performed single cell RNA-seq on cell line and PDX models of breast cancer revealing cell subpopulations in states associated with resistance to standard-of-care therapies. We found that TNBC models contained a subpopulation in an inflamed cellular state, often also present in human breast cancer samples. Inflamed cells display evidence of heightened cGAS/STING signaling which we demonstrate is sufficient to cause tumor cell resistance to chemotherapy. Accordingly, inflamed cells were enriched in human tumors taken after neoadjuvant chemotherapy and associated with early recurrence, highlighting the potential for diverse tumor cell states to promote drug resistance.
2023-12-18 | GSE250157 | GEO
Project description:Chemotherapy resistance frequently drives tumor progression. However, the underlying molecular mechanisms are poorly characterized. Epithelial-to-mesenchymal transition (EMT) has been shown to correlate with therapy resistance, but the functional link and signaling pathways remain to be elucidated. We report here that miR-30c, a human breast tumor prognostic marker, plays a pivotal role in chemo-resistance by a direct targeting of the actin-transporter TWF1, which promotes EMT. An IL-6 family member, IL-11 was identified as a secondary target of TWF1 in the miR-30c signaling pathway. Expression of miR-30c inversely correlated with IL-11 expression in clinical tumors and IL-11 correlated with relapse-free survival in breast cancer patients. Identification of a novel miRNA-mediated pathway that regulates chemo-resistance in breast cancer will facilitate the development of new management strategies. reference x sample
2013-01-18 | E-GEOD-22049 | biostudies-arrayexpress
Project description:In this study, we have analyzed the transcriptional patterns of breast cancer cell lines and tumors of NAC resistant patients evaluated by GGI, and screened potential genes associated with chemoresistance. Furthermore, we have constructed a neoadjuvant chemotherapy response risk model and examined the evaluation accuracy of the risk score for NAC response. We conducted molecular bioinformatics analysis of the genes that constitute the chemotherapy resistance risk score, and explored potential drugs to reverse breast cancer chemotherapy resistance. Finally, we have examined the the risk score for predicting prognosis in breast cancer. In all, we have reported a novel signature to evaluate neoadjuvant chemotherapy response and predicts prognosis in breast cancer, and screened out potential drugs to reverse chemotherapy resistance in breast cancer.
2022-10-11 | GSE197931 | GEO
Project description:When locally advanced breast cancer is treated with neoadjuvant chemotherapy, the recurrence risk is significantly higher if no complete pathologic response is achieved. Identification of the underlying resistance mechanisms is essential to select treatments with maximal efficacy and minimal toxicity. Here we employed gene expression profiles derived from 317 HER2-negative treatment-naïve breast cancer biopsies of patients who underwent neoadjuvant chemotherapy, deep whole exome and RNA-sequencing profiles of 22 matched pre- and post-treatment tumors, and treatment outcome data to identifiy biomarkers of response and resistance mechanims. Molecular profiling of treatment-naïve breast cancer samples revealed that expression levels of proliferation, immune response and extracellular matrix (ECM) organization combined predict response to chemotherapy. Triple negative patients with high proliferation, high immune response and low ECM expression had a significantly better treatment response and survival benefit (HR 0.29, 95% CI 0.10-0.85; p=0.02), while in ER+ patients the opposite was seen (HR 4.73, 95% CI 1.51-14.8; 0=0.008). The characterization of paired pre-and post-treatment samples revealed that aberrations of known cancer genes were either only present in the pre-treatmane sample (CDKN1B) or in the post-treatment sample(TP53, APC, CTNNB1). Proliferation-associated genes were frequently down-regulated in post-treatment ER+ tumors, but not in triple negative tumors. Genes involved in ECM were upregulated in the majority of post-chemotherapy samples. Genomic and transcriptomic differences between pre- and post-chemotherapy samples are common and may reveal potential mechanisms of therapy resistance. Our results show a wide range of distinct, but related mechanisms, with a prominent role for proliferation- and ECM-related genes.
2021-12-18 | GSE191127 | GEO
Project description:Purpose: Breast cancer is a genetically heterogenous disease with subtypes differing in prognosis and chemosensitivity. The basal-like breast cancer (BLBC) molecular subtype is associated with poorer outcomes, but is more responsive to taxane-based chemotherapy. We evaluated the role of kinesins, motor proteins interacting with microtubules, in influencing taxane resistance. Experimental Design: Kinesin (KIF) expression was studied in one local dataset comprising all taxane resistant breast cancers in relation to taxane resistance. Data in the NCI-60 cell line dataset (GSE5846) nd the MDACC dataset (GSE20194) is separately detailed. Results: In the local dataset, the kinesin KIF26B is overexpressed in taxane-resistant residual breast cancers post-chemotherapy. Conclusions: We show that kinesin overexpression correlates with taxane resistance in BLBC cell lines and tissue. Our results suggest a potential approach to overcoming taxane resistance through concurrent or sequential use of kinesin inhibitors, highlighting the ATP-binding domain as a drug development target. Kinesin (KIF) expression was studied in one local dataset comprising all taxane resistant breast cancers in relation to taxane resistance. Data in the NCI-60 cell line dataset (GSE5846) and the MDACC dataset (GSE20194) is separately detailed.
2012-12-01 | E-GEOD-22796 | biostudies-arrayexpress
Project description:Chemotherapy resistance frequently drives tumor progression. However, the underlying molecular mechanisms are poorly characterized. Epithelial-to-mesenchymal transition (EMT) has been shown to correlate with therapy resistance, but the functional link and signaling pathways remain to be elucidated. We report here that miR-30c, a human breast tumor prognostic marker, plays a pivotal role in chemo-resistance by a direct targeting of the actin-transporter TWF1, which promotes EMT. An IL-6 family member, IL-11 was identified as a secondary target of TWF1 in the miR-30c signaling pathway. Expression of miR-30c inversely correlated with IL-11 expression in clinical tumors and IL-11 correlated with relapse-free survival in breast cancer patients. Identification of a novel miRNA-mediated pathway that regulates chemo-resistance in breast cancer will facilitate the development of new management strategies. MDA-MB231 30c vs. MDA-MB231 scrambled
2013-01-18 | E-GEOD-32617 | biostudies-arrayexpress
Project description:Aggressive breast tumors are routinely treated with pre-operative chemotherapy. However, a subset of patients have recurrence despite adjuvant treatment. To identify metabolic processes involved in drug resistance, we took a mass spectrometry-based proteomic approach, and analyzed a breast cancer cohort of 113 samples comprising of breast tumors before and after chemotherapy, with matched tumor adjacent normal tissue from partial responders that underwent neoadjuvant treatment (NAT). Pattern analysis of 7180 proteins revealed more than 1000 proteins with significantly differential expression in primary tumor relative to the healthy tissue, which do not respond to treatment, in treatment resistant patients. Among those, we found significant upregulation of the proline biosynthesis pathway, primarily, PYCR1 that significantly correlated with lower recurrence free survival time in our cohort. Functional analysis showed that PYCR1 induced a pro-survival effect upon treatment with chemotherapy drugs thus emphasizing the potential role of PYCR1 in drug resistance in advanced breast cancer.
2020-08-24 | PXD012000 | Pride