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Abstract P1-07-16: Galectin-7 increases resistance of breast cancer cells to drug-induced apoptosis and promotes tumor escape by killing T cells

2015· article· en· W1871478153 on OpenAlexaff
Yves St‐Pierre, Andrée‐Anne Grosset, Marilyne Labrie, Donald Gagné, Maria-Claudia Vladoiu, Louis Gaboury, Nicolas Doucet

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicGalectins and Cancer Biology
Canadian institutionsInstitute for Research in Immunology and CancerArmand Frappier Museum
Fundersnot available
KeywordsBreast cancerCancer cellCancer researchCancerApoptosisGalectin-3Metastatic breast cancerBiologyMedicineImmunologyInternal medicine

Abstract

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Abstract Resistance to apoptosis induced by anti-cancer drugs is a major obstacle for the treatment of aggressive forms of breast cancer. Galectin-7 was recently shown to be specifically expressed in basal-like and HER-2 positive but not in luminal subtypes of human breast cancer. Galectin-7 also increases the metastatic behavior of breast cancer cells since overexpression of this protein in poorly metastatic breast cancer cells increases their ability to metastasize to the bone and to the lung. This pro-tumoral activity of galectin-7 in breast cancer is surprising since galectin-7 had been previously associated with activation of p53 and breast cancer cells often harbor a transcriptionally inactive form of p53. We have recently reconcile this apparent contradiction by showing that elevated levels of galectin-7 in breast cancer cells occurs via a gain-of-function mechanism of mutant p53. In p53-null breast cancer cells, we have shown that C/EBPβ-2 (also known as LAP2), the most transcriptionally active of the C/EBPβ isoforms, is responsible for the upregulation of galectin-7. How galectin-7 contributes to the progression of breast cancer remains unclear. Up to now, regulation of apoptosis by intracellular galectins has been largely attributed to their ability to translocate to mitochondria, possibly following their interaction with bcl-2. Here, we report that a mutant of galectin-7 that is unable to translocate to mitochondria induces resistance of human breast cancer cells to apoptosis induced by etoposide or by hypoxia-mimicking conditions. Surprisingly, this mutant and the wild-type form of galectin-7 bind equally well to bcl-2 in vitro and in vivo. Interestingly, both forms decreases the translocation of p53 to the nucleus and reduce the expression of p21 following treatment with doxorubicin. We also found that galectin-7 was released by breast cancer cells and that recombinant galectin-7 increased apoptosis of monocytes, T CD4+ and T CD8+ cells. This suggests that galectin-7 contributes to the establishment of an immunosuppressive tumor microenvironment by killing helper and effector T cells. Taken together, these results challenges the current paradigm that mitochondrial galectins are important for resistance to apoptosis and call for a greater focus on the role of galectin-7 in breast cancer. They also indicate that targeting both cytosolic and extracellular galectin-7 could improve the efficacy of anti-cancer drugs for the treatment of aggressive forms of breast cancer. Citation Format: Yves St-Pierre, Andrée-Anne Grosset, Marilyne Labrie, Donald Gagné, Maria-Claudia Vladoiu, Louis Gaboury, Nicolas Doucet. Galectin-7 increases resistance of breast cancer cells to drug-induced apoptosis and promotes tumor escape by killing T cells [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P1-07-16.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.330
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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