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Record W4393073073 · doi:10.1158/1538-7445.am2024-7061

Abstract 7061: Targeting metabolic vulnerabilities in ARID1A/B dual-deficient dedifferentiated endometrial carcinoma

2024· article· en· W4393073073 on OpenAlexaff
Rebecca Ho, Eunice Li, Chae Young Shin, Shary Chen, David G. Huntsman, Yemin Wang

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsSpinal Cord Injury BCUniversity of British Columbia
Fundersnot available
KeywordsARID1AMedicineEndometrial cancerCancer researchCarcinomaOncologyInternal medicineBiologyCancerGeneGeneticsMutation

Abstract

fetched live from OpenAlex

Abstract Background: Dedifferentiated endometrial carcinoma (DDEC) is an aggressive endometrial carcinoma defined histologically by undifferentiated carcinoma juxtaposed against stage 1 or 2 endometrial adenocarcinoma. DDEC responds poorly to conventional platinum/taxane-based chemotherapy, particularly in the case of extrauterine spread. This highlights a need to develop novel therapies for individuals with DDEC. Genetically, a third of DDEC cases have co-inactivating mutations of ARID1A and ARID1B. These genes encode core subunits of the sucrose/switch non-fermentable (SWI/SNF) complex that regulate transcription. Furthermore, dual loss of ARID1A/B is believed to play a role in driving DDEC tumor development. We hypothesize that ARID1A/B dual-deficiency in DDEC generates unique genetic deficiencies that allow for the development of novel therapies for this cancer. We approached this hypothesis by first conducting a preliminary analysis of the Cancer Dependency Map (DepMap), which has identified vulnerabilities in mitochondrial functioning in ARID1A/B dual-deficient DDECs. As such, we aimed to understand the role of mitochondrial oxidative phosphorylation (OXPHOS) and redox homeostasis in ARID1A/B dual-deficient DDEC to create new treatment options. Methods: A panel of ARID1A/B dual-deficient and proficient endometrial cancer cell lines were treated with OXPHOS inhibitor IACS-010759 and reactive oxidative species (ROS)-inducing agent elesclomol to identify shifts in drug response between the two groups. To account for genomic differences between the cell lines, we also treated an ARID1B knock-out isogeneic cell line with the drugs. Additionally, changes in metabolism in the endometrial cancer cell lines were measured using Seahorse metabolic flux assays to determine if ARID1A/B dual-deficient cell lines have an increased dependency on OXPHOS for cell growth. Results: While the Seahorse assays revealed no significant difference in OXPHOS and glycolysis activities between the two groups, drug sensitivity assays demonstrated that ARID1A/B dual-deficient cancers are more sensitive to OXPHOS inhibition and increased ROS production than the proficient cell lines. Depletion of ARID1B in an ARID1A deficient cell line sensitizes the cells to both drugs. Furthermore, IACS-010759 significantly suppressed the growth of ARID1A/B-deficient DDEC xenograft tumor growth. Conclusion: ARID1A/B-dual deficient cancer cells rely on mitochondria function for survival. The underlying mechanisms are currently under investigation. Citation Format: Rebecca Ho, Eunice Li, Chae Young Shin, Shary Chen, David Huntsman, Yemin Wang. Targeting metabolic vulnerabilities in ARID1A/B dual-deficient dedifferentiated endometrial carcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7061.

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 score0.006

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 head0.059
GPT teacher head0.381
Teacher spread0.322 · 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
Published2024
Admission routes1
Has abstractyes

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