MétaCan
Menu
Back to cohort
Record W2059868114 · doi:10.1158/1538-7445.am2013-1713

Abstract 1713: BAX and BAK are preferentially activated by BIM and BID, respectively, affecting clinical chemotherapy response.

2013· article· en· W2059868114 on OpenAlexaff
Kristopher A. Sarosiek, John A. Bachman, Joan Montero, Luv Patel, Joshua J. Sims, Xiaoke Chi, David W. Andrews, Peter K. Sorger, Anthony Letai

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsApoptosisProgrammed cell deathEtoposideCell biologyBcl-2-associated X proteinTopotecanEffectorHomeostasisTopoisomeraseChemistryDoxorubicinBiologyIn vitroCaspase 3BiochemistryChemotherapyGenetics

Abstract

fetched live from OpenAlex

Abstract Apoptosis is a highly regulated form of cell death that is essential for maintenance of homeostasis and is controlled by the BCL-2 family of proteins. Two key members of this family, the effectors BAX and BAK, can be activated by BIM or BID, which triggers their oligomerization and permeabilization of the mitochondrial membrane, a crucial event during apoptosis. Despite their essential and distinct roles in maintaining homeostasis, BIM and BID are considered to be functionally redundant in their ability to activate BAX and BAK. However, by separately examining the activation of BAX and BAK by BIM and BID we find that these apoptosis-regulating proteins exhibit differing interaction preferences. Specifically, BIM preferentially activates BAX while BID preferentially activates BAK in murine and human cells. The preferential activation is evident when treating cells with BIM and BID BH3 peptides or recombinant, full-length proteins. Calculated EC50 values demonstrate a nearly twenty-fold decrease in the BID BH3 concentration required to activate BAK rather than BAX (0.54μM for BAK versus 9.3μM for BAX) and a three-fold decrease in the BIM BH3 concentration required to activate BAX rather than BAK (6.7μM for BAK versus 2.3μM for BAX). Based on these findings, we hypothesized that cells lacking BAK would be resistant to commonly used topoisomerase inhibitors including topotecan, etoposide and doxorubicin which can induce apoptosis via activation of BID. We confirm that BAK-/-, but not BAX-/-, cells are in fact resistant to these agents but not chemotherapies that induce apoptosis independently of BID activation including the alkylating agent cisplatin, the microtubule inhibitor paclitaxel, or the nucleoside analogue gemcitabine. Topoisomerase inhibitors are frequently used to treat ovarian cancer patients who have failed initial therapy with carboplatin and paclitaxel, yet clinical responses to these second-line therapies are varied. Importantly, we found that 23.8% of ovarian primary tumors possess a heterozygous or homozygous loss of BAK1, which encodes BAK. These patients exhibit an vastly inferior overall survival when treated with topoisomerase inhibitors in the clinic (p=0.0048) while loss of BAX had no effect on survival (p=0.9534). In addition, BAK1 loss had no effect on response to treatment with agents that were not topoisomerase inhibitors including carboplatin and paclitaxel. Thus, BIM and BID have non-overlapping roles in the induction of apoptosis via BAX and BAK which affect clinical responses to chemotherapy. Citation Format: Kristopher A. Sarosiek, John Bachman, Joan Montero, Luv Patel, Joshua J. Sims, Xiaoke Chi, David W. Andrews, Peter Sorger, Anthony Letai. BAX and BAK are preferentially activated by BIM and BID, respectively, affecting clinical chemotherapy response. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 1713. doi:10.1158/1538-7445.AM2013-1713

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 score0.009
Threshold uncertainty score0.030

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)0.0090.002

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 head0.069
GPT teacher head0.417
Teacher spread0.349 · 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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueCancer ResearchSame topicRNA Interference and Gene DeliveryFrench-language works237,207