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Record W3082141982 · doi:10.1158/1538-7445.am2020-1459

Abstract 1459: Selective killing of SMARCA4-deficient gynecologic cancers by mitochondria oxidative phosphorylation inhibitors

2020· article· en· W3082141982 on OpenAlexaff
Yemin Wang, Dionzie Ong, Shary Yuting Chen, Eunice Li, Krystal A. Orlando, Elizabeth A. Raupach, Jennifer X. Ji, Bernard E. Weissman, Patrick Pirrotte, David Humtsman

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChromatin Remodeling and Cancer
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSMARCA4BiologyCancer researchOvarian cancerClear cell carcinomaMitochondrionARID1AClear cellOvaryOvarian carcinomaChromatin remodelingCancerCarcinomaChromatinEndocrinologyCell biologyMutationGeneticsGene

Abstract

fetched live from OpenAlex

Abstract Small cell carcinoma of the ovary, hypercalcemic type (SCCOHT) and dedifferentiated carcinoma of the ovary or endometrium are rare but highly aggressive types of gynecologic cancers. We and others have recently demonstrated that genetic inactivation of SMARCA4, one of the two ATPases of the SWI/SNF chromatin remodeling complex, along with protein loss is the only recurrent somatic mutation of SCCOHT. Furthermore, SMARCA4 loss appears as a key event in the development of a subset of dedifferentiated carcinoma of the ovary, endometrium or other organs. These SMARCA4-deficient dedifferentiated tumors and SCCOHT usually lose the expression of SMARCA2, the alternative ATPase of the SWI/SNF complex. Through mining the publicly available genome-wide CRISPR screen database from the Broad Institute DepMap Project for about 500 cell lines, we identified that SMARCA4/A2-dual deficient ovarian cell lines are selectively sensitive to the genetic ablation of multiple components of mitochondria electron transfer chain (ETC). Using seahorse metabolism assays, we revealed that SCCOHT cells have reduced glycolysis in comparison to other ovarian cancer cells and utilize mitochondria respiration for energy production regardless of the availability of glucose. Accordingly, both SCCOHT and SMARCA4-deficient dedifferentiated ovarian carcinoma cell lines are remarkably more sensitive to several inhibitors of ETC complex I, and tigecycline, a selective inhibitor of the mitochondria ribosomal translation, than other ovarian cancer cells, such as SMARCA4-intact ovarian high-grade serous carcinoma cells and clear cell ovarian carcinoma cells regardless of the expression level of ARID1A, a SWI/SNF complex subunit frequently lost in clear cell ovarian carcinoma. Re-expression of SMARCA4 increased the expression of SLC2A1, encoding the glucose transporter GLUT1, and decreased the sensitivity of SCCOHT cells to ETC complex I inhibitors, suggesting that SMARCA4 loss may reduce the transport of glucose leading to reduced glycolysis and increased reliance on mitochondria respiration, which is currently under investigation. Therefore, our data suggest that selective targeting mitochondria respiratory complex function can be an effective strategy for SCCOHT and other SMARCA4-deficient dedifferentiated cancers of gynecologic tract or other organs. Citation Format: Yemin Wang, Dionzie Ong, Shary Yuting Chen, Eunice Li, Krystal Orlando, Elizabeth Raupach, Jennifer Ji, Bernard Weissman, Patrick Pirrotte, David Humtsman. Selective killing of SMARCA4-deficient gynecologic cancers by mitochondria oxidative phosphorylation inhibitors [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 1459.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.029
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.041
GPT teacher head0.345
Teacher spread0.304 · 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 teacher head, 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

Citations1
Published2020
Admission routes1
Has abstractyes

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