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Record W2075037683 · doi:10.1158/1538-7445.am2011-2113

Abstract 2113: Programmed cell death 4 (PDCD4) regulates apoptotic resistance of human gliomas

2011· article· en· W2075037683 on OpenAlexaff
Urszula Liwak, Lindsay E. Jordan, Martin Holčı́k

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsXIAPInternal ribosome entry siteGene silencingBiologyProgrammed cell deathCancer researchApoptosisTranslation (biology)Cell biologyInhibitor of apoptosismicroRNAGliomaCaspaseGeneMessenger RNAGenetics

Abstract

fetched live from OpenAlex

Abstract Glioblastoma multiforme (GBM) is the most prevalent form of tumors of the central nervous system with an average survival rate of less than one year. Given the location and characteristics of GBM only limited treatment options are available, thus understanding the mechanisms of GBM formation or progression may lead to the development of novel treatment options. Strikingly, a common feature of GBM is the loss of expression of the tumor suppressor programmed cell death gene 4 (PDCD4), which correlates with a poor prognosis. Through both transcriptional and translational regulation, PDCD4 has been shown to regulate many proteins within the cell, although the precise mechanism of target selection is not known. We have hypothesised that silencing of PDCD4 in glioblastomas leads to an altered expression of apoptosis-regulating proteins resulting in the suppression of apoptotic signals and enhanced chemo-resistance of glioblastomas. Indeed, we show that low levels of PDCD4 correlate with an increase in the anti-apoptotic XIAP and Bcl-xL proteins, and decrease in pro-apoptotic Apaf-1. Importantly, these proteins are regulated at the level of protein synthesis through the internal ribosome entry sites (IRESs) in the 5’ untranslated region (UTR) of their respective mRNAs. IRES elements allow for translation to occur through a cap-independent mechanism during times of cellular stress when global translation is attenuated. We further show that PDCD4 regulates the activity of Bcl-xL, XIAP and Apaf-1 IRES and is therefore an IRES specific translational regulator. We further dissect the signalling pathways that regulate PDCD4 levels and show that activation of S6K2 results in the proteolytic degradation of PDCD4 and concomitant upregulation of XIAP and Bcl-xL, and downregulation of Apaf-1 levels. Importantly, reintroduction of PDCD4 into glioblastoma cell lines results in a reduction in both XIAP and Bcl-xL protein levels and enhanced cell death. In summary, our work provides a novel role for PDCD4 as a translational regulator of XIAP, Bcl-xL and Apaf-1, as well as a mechanistic understanding into the regulation of PDCD4 expression. Our research offers insight into the biology of glioblastomas in the hopes that we can identify new pathways as novel targets for anticancer therapy. 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 2113. doi:10.1158/1538-7445.AM2011-2113

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.110
GPT teacher head0.381
Teacher spread0.271 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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