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Record W2073789788 · doi:10.1158/1538-7445.am2011-2074

Abstract 2074: Hsp27 inhibition activates the unfold protein response and autophagy pathway through inhibition of proteasome activity in prostate cancer

2011· article· en· W2073789788 on OpenAlexaff
Masafumi Kumano, Junya Furukawa, Amina Zoubeidi, Shiota Masaki, Eliana Beraldi, Martin Gleave

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsUnfolded protein responseHsp27MG132AutophagyProteasomeCell biologyEndoplasmic reticulumProteostasisGene knockdownProgrammed cell deathProteasome inhibitorViability assayCancer cellHeat shock proteinChemistryCancer researchApoptosisBiologyHsp70CancerBiochemistry

Abstract

fetched live from OpenAlex

Abstract Introduction and objectives: Hsp27 is a stress-activated, multifunctional chaperone that inhibits treatment-induced apoptosis and is highly expressed in castrate-resistant prostate cancer. Hsp27 is induced by accumulation of unfolded protein aggregates following various stress conditions, and promotes folding of proteins to their native state or degrading misfolded proteins via the ubiquitin-proteasome pathway (UPP). The specific signaling that occurs between the endoplasmic reticulum (ER) and the nucleus in response to ER stress is known as the unfolded protein response (UPR). During the UPR, accumulated unfolded protein is either correctly refolded or degraded by the UPP, but when unfolded protein levels exceed a threshold, damaged cells are committed to cell death. Recently, there has been an increased general interest in understanding the interactions of ER stress, proteasome and autophagy in protein clearance. However, it is still unclear whether ER stress-mediated autophagy is involved in cell survival or cell death. We hypothesize that inhibition of Hsp27 will enhance ER stress and treatment-induced cancer cell death by increasing unfolded protein burden. We set out to characterize the role of Hsp27 in ER stress and UPR in prostate cancer. Methods: Effects of Hsp27 silencing using siRNA or antisense inhibitor (OGX-427) or proteasome inhibition (MG132) on PC3 cell apoptosis and putative targets of UPR were compared. Proteasome activity was measured using fluorescent substrate of proteasome in Hsp27 inhibited or overexpressed PC3 cells. We also evaluated autophagy activity after Hsp27 knockdown and cell viability after combination treatment with Hsp27 knockdown +/- inhibition of autophagy by 3-methyladenine (3-MA). Results: Hsp27 expression and other components of the UPR were activated in PC-3 cells after treatment with MG132 with accumulation of ubiquitinated proteins. Hsp27 knockdown was associated with decreased proteasome activity, increased ubiquitinated protein levels, and activation of UPR, similar to that seen with MG132. In contrast, Hsp27 overexpressing PC3 cells exhibited increased proteasome activity and resistance to MG-132 induced cell death and UPR activation compared to control cells. The inhibition of Hsp27 also led to increased autophagy activity. Furthermore, the combination treatment with Hsp27 silencing and 3MA significantly reduced PC3 cell viability and induced apoptosis. Conclusions: These results suggest that Hsp27 enhances the catalytic activity of the proteasome and increases the degradation rate of ubiquitinated proteins. Moreover, the inhibition of both Hsp27 and autophagy enhances prostate cancer cell death and represents a useful therapeutic strategy to target for anti-cancer therapies. 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 2074. doi:10.1158/1538-7445.AM2011-2074

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 score0.006
Threshold uncertainty score0.022

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.047
GPT teacher head0.339
Teacher spread0.292 · 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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