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Record W1991395730 · doi:10.1158/1538-7445.am2011-1061

Abstract 1061: Context dependent tumor suppressor activity of the ERK pathway explains its inverse correlation with malignancy in prostate neoplasms

2011· article· en· W1991395730 on OpenAlexaff
Xavier Deschênes‐Simard, Marie‐France Gaumont‐Leclerc, Olga Moiseeva, Valérie Forest, Véronique Bourdeau, Fred Saad, Anne‐Marie Mes‐Masson, Gerardo Ferbeyre

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsHôpital Notre-DameUniversité de Montréal
Fundersnot available
KeywordsMAPK/ERK pathwayCarcinogenesisSenescenceProtein kinase BKinaseCell biologyPI3K/AKT/mTOR pathwayCancer researchBiologySignal transductionCancerGenetics

Abstract

fetched live from OpenAlex

Abstract This study gives considerable insight about the antagonistic functions associated to the ERK1/2 kinases activation during tumorigenesis. The Ras proteins are small GTPases known for their role in growth factor signals transmission from membrane receptors. Oncogenic forms of Ras are found in approximately 25% of all human cancers and are generally associated with uncontrolled cell proliferation. However, expression of oncogenic Ras in normal cells is associated with accumulation of DNA damage, activation of tumor suppressors p53 and Rb and cellular senescence. It is known that Ras activates multiple signaling pathways, such as the PI3K/Akt pathway, the Ral pathway and the classical Raf/Mek/Erk MAP Kinase pathway. Our study demonstrates that Erk1/2 (Extracellular-Regulated Kinases) are crucial for H-RasV12-induced senescence in normal human fibroblasts. We have shown that the expression of different small hairpin RNAs against Erk1 or Erk2 in normal human fibroblasts causes an important bypass of H-RasV12-induced senescence and the acquisition of several characteristics of transformed cells. This finding strongly suggests that the Raf/Mek/Erk pathway can be anti-oncogenic in some contexts by activating the tumor suppressor pathways regulating senescence. We propose a model where a moderated level of activated Erk promotes proliferation and potentially transformation, but a higher level of activated Erk, over a given threshold, activates senescence. Consistent with our model, expression studies in benign prostatic hyperplasia (BPH), a benign tumor of the prostate, reveal that BPH cells display high level of senescence markers and activated Erk in comparison with normal cells and many tumor samples. Similarly, we observed a negative correlation between the p-Erk1/2 levels in the nuclei of cancer cells from different prostate tumors and the Gleason score or the biochemical relapse after chemotherapy. Such correlations suggest that cells with lower p-Erk1/2 levels are in general from more aggressive prostate cancers. To explain the phenotype of transformed cells that bypass senescence in our experiments, an analysis of signaling pathways known to contribute to transformation by Ras was performed. We observed that the Raf/Mek/Erk pathway exerts a negative control on the PI3K/Akt pathway, itself activated by Ras. Thus, cells that bypass H-RasV12-induced senescence by decreasing Raf/Mek/Erk activity show a strong hyperactivation of Akt, which could explain their anarchic proliferation. Our results suggest caution in the clinical use of inhibitors of the ERK pathway alone but also the possibility of designing novel antitumor agents that increase the ERK activity over the threshold required to induce cellular senescence. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 1061. doi:10.1158/1538-7445.AM2011-1061

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.095
GPT teacher head0.335
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2011
Admission routes1
Has abstractyes

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