ArticleCell cycle (Georgetown, Tex.)2014
Acquired resistance to metformin in breast cancer cells triggers transcriptome reprogramming toward a degradome-related metastatic stem-like profile.
Article in Cell cycle (Georgetown, Tex.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.
- Integrated analysis reveals down-regulation of SPARCL1 is correlated with cervical cancer development and progression.Cancer biomarkers : section A of Disease markers · 2018Pooled it
- Cancer Antigen 15-3/Mucin 1 Levels in CCTG MA.32: A Breast Cancer Randomized Trial of Metformin vs Placebo.JNCI cancer spectrum · 2021Trial
- Trial
- Profile and clinical significance of SPARCL1 and its prognostic significance in breast cancer.Oncology letters · 2025Article
- The effects of hsa-mir-26a-5p on cell proliferation, migration, and PI3K inhibitor sensitivity in metformin-resistant triple negative breast cancer cells.Turkish journal of biology = Turk biyoloji dergisi · 2025Article
- Estrogen Receptor Is Required for Metformin-Induced Apoptosis in Breast Cancer Cells Under Hyperglycemic Conditions.Breast cancer : basic and clinical research · 2024Article
- Metformin escape in prostate cancer by activating the PTGR1 transcriptional program through a novel super-enhancer.Signal transduction and targeted therapy · 2023Article
- Article
- Metformin resistant MDA-MB-468 cells exhibit EMT-like phenotype and increased migration capacity.Molecular biology reports · 2022Article
- Transcriptional and H3K27ac related genome profiles in oral squamous cell carcinoma cells treated with metformin.Journal of Cancer · 2022Article
- Expression signature, prognosis value and immune characteristics of cathepsin F in non-small cell lung cancer identified by bioinformatics assessment.BMC pulmonary medicine · 2021Article
- TRAIL receptor-induced features of epithelial-to-mesenchymal transition increase tumour phenotypic heterogeneity: potential cell survival mechanisms.British journal of cancer · 2021Review
- Tuft and Cancer Stem Cell Marker DCLK1: A New Target to Enhance Anti-Tumor Immunity in the Tumor Microenvironment.Cancers · 2020Review
- Metformin regulation of progesterone receptor isoform-B expression in human endometrial cancer cells is glucose-dependent.Oncology letters · 2020Article
- Counteracting Chemoresistance with Metformin in Breast Cancers: Targeting Cancer Stem Cells.Cancers · 2020Review
- ARS2/MAGL signaling in glioblastoma stem cells promotes self-renewal and M2-like polarization of tumor-associated macrophages.Nature communications · 2020Article
- Article
- ISG15 and ISGylation is required for pancreatic cancer stem cell mitophagy and metabolic plasticity.Nature communications · 2020Article
- Role of purines in regulation of metabolic reprogramming.Purinergic signalling · 2019Review
- Clinical Implications of Chromosomal Instability (CIN) and Kinetochore Abnormalities in Breast Cancers.Molecular diagnosis & therapy · 2019Review
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Therapeutic interventions based on metabolic inhibitor-based therapies are expected to be less prone to acquired resistance. However, there has not been any study assessing the possibility that the targeting of the tumor cell metabolism may result in unforeseeable resistance. We recently established a pre-clinical model of estrogen-dependent MCF-7 breast cancer cells that were chronically adapted to grow (> 10 months) in the presence of graded, millimolar concentrations of the anti-diabetic biguanide metformin, an AMPK agonist/mTOR inhibitor that has been evaluated in multiple in vitro and in vivo cancer studies and is now being tested in clinical trials. To assess what impact the phenomenon of resistance might have on the metformin-like "dirty" drugs that are able to simultaneously hit several metabolic pathways, we employed the ingenuity pathway analysis (IPA) software to functionally interpret the data from Agilent whole-human genome arrays in the context of biological processes, networks, and pathways. Our findings establish, for the first time, that a "global" targeting of metabolic reprogramming using metformin certainly imposes a great selective pressure for the emergence of new breast cancer cellular states. Intriguingly, acquired resistance to metformin appears to trigger a transcriptome reprogramming toward a metastatic stem-like profile, as many genes encoding the components of the degradome (KLK11, CTSF, FREM1, BACE-2, CASP, TMPRSS4, MMP16, HTRA1), cancer cell migration and invasion factors (TP63, WISP2, GAS3, DKK1, BCAR3, PABPC1, MUC1, SPARCL1, SEMA3B, SEMA6A), stem cell markers (DCLK1, FAK), and key pro-metastatic lipases (MAGL and Cpla2) were included in the signature. Because this convergent activation of pathways underlying tumor microenvironment interactions occurred in low-proliferative cancer cells exhibiting a notable downregulation of the G 2/M DNA damage checkpoint regulators that maintain genome stability (CCNB1, CCNB2, CDC20, CDC25C, AURKA, AURKB, BUB1, CENP-A, CENP-M) and pro-autophagic features (i.e., TRAIL upregulation and BCL-2 downregulation), it appears that the unique mechanism of acquired resistance to metformin has opposing roles in growth and metastatic dissemination. While refractoriness to metformin limits breast cancer cell growth, likely due to aberrant mitotic/cytokinetic machinery and accelerated autophagy, it notably increases the potential of metastatic dissemination by amplifying the number of pro-migratory and stemness inputs via the activation of a significant number of proteases and EMT regulators. Future studies should elucidate whether our findings using supra-physiological concentrations of metformin mechanistically mimic the ultimate processes that could paradoxically occur in a polyploid, senescent-autophagic scenario triggered by the chronic metabolic stresses that occur during cancer development and after treatment with cancer drugs.
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