Evidence map›Paper›PMID 24553122›Full record

ArticleCell cycle (Georgetown, Tex.)2014

Acquired resistance to metformin in breast cancer cells triggers transcriptome reprogramming toward a degradome-related metastatic stem-like profile.

Cristina Oliveras-Ferraros, Alejandro Vazquez-Martin, Elisabet Cuyàs, Bruna Corominas-Faja, Esther Rodríguez-Gallego, Salvador Fernández-Arroyo, Begoña Martin-Castillo, Jorge Joven, Javier A Menendez

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 3 countries.

Cristina Oliveras-FerrarosMetabolism & Cancer Group; Translational Research Laboratory; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain; Molecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain.
Alejandro Vazquez-MartinMetabolism & Cancer Group; Translational Research Laboratory; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain; Molecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain.
Elisabet CuyàsMetabolism & Cancer Group; Translational Research Laboratory; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain; Molecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain.
Bruna Corominas-FajaMetabolism & Cancer Group; Translational Research Laboratory; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain; Molecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain.
Esther Rodríguez-GallegoUnitat de Recerca Biomèdica; Hospital Universitari Sant Joan and Hospital Universitari Joan XXIII; Institut d'Investigació Sanitària Pere Virgili; Universitat Rovira i Virgili; Reus, Spain.
Salvador Fernández-ArroyoUnitat de Recerca Biomèdica; Hospital Universitari Sant Joan and Hospital Universitari Joan XXIII; Institut d'Investigació Sanitària Pere Virgili; Universitat Rovira i Virgili; Reus, Spain.
Begoña Martin-CastilloMolecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain; Unit of Clinical Research; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain.
Jorge JovenUnitat de Recerca Biomèdica; Hospital Universitari Sant Joan and Hospital Universitari Joan XXIII; Institut d'Investigació Sanitària Pere Virgili; Universitat Rovira i Virgili; Reus, Spain.
Javier A MenendezMetabolism & Cancer Group; Translational Research Laboratory; Catalan Institute of Oncology-Girona (ICO-Girona); Girona, Spain; Molecular Oncology; Girona Biomedical Research Institute (IDIBGI); Girona, Spain.
Molecular Oncology (United States) · USTranslational Research Institute · AUCatalan Institute for Water Research · ESCentro de Investigación Biomédica en Red · ESHospital Universitari Joan XXIII de Tarragona · ESInstitut d'Investigació Biomèdica de Girona · ESInstitut d'Investigació Sanitària Pere Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Drug Resistance, NeoplasmTranscriptomeAMP-Activated Protein KinasesAntineoplastic AgentsBreast NeoplasmsGene Expression ProfilingHumansMCF-7 CellsMetforminNeoplasm MetastasisNeoplastic Stem CellsAMP-Activated Protein KinasesAntineoplastic AgentsMetforminAMPKbreast cancerdegradomemetabolismmetastasismetformin

Identifiers

PMID24553122
PMCPMC4013163
OpenAlexW1999161313

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.