Abstract B019: Stearoyl-CoA desaturase is a synthetic lethal target in SMAD4-deficient cancers
Bibliographic record
Abstract
Abstract Mothers against decapentaplegic homolog 4, or SMAD4, is a member of the SMAD family of transcription factors that mediate TGF-β signal transduction. SMAD4 loss of function mutation or deletion is found in about 30% of PDAC and 15% of COAD and EAC patients, and it is associated with their poor prognosis. Over the past two decades, its tumor suppressor role has been elucidated, and the loss of SMAD4 is sufficient to promote tumorigenesis in multiple GEM models. To identify novel therapeutic vulnerabilities for SMAD4-deficient cancers, a CRISPR dropout screening approach was employed in SMAD4 isogenic PDAC models. We identified stearoyl-CoA desaturase, SCD, as a synthetic lethal target in SMAD4-deficient context. SCD is critical for de novo lipid biogenesis and catalyzes the rate-limiting step in the production of monounsaturated fatty acid. Genetic and pharmacologic studies in vitro confirmed this synthetic lethal relationship. Additionally, drug-anchored CRISPR dropout screening and RNA expression profiling demonstrated that accumulation of saturated fatty acid in response to SCD inhibition drives cytotoxicity in SMAD4-deficient cells. Mouse studies with CRISPR-based knockout of SCD and a well-characterized SCD inhibitor (A939572) demonstrated anti-tumor efficacy in SMAD4-mutant xenograft models. However, compared to genetic KO of SCD the pharmacological inhibitor was less effective at inhibiting tumor proliferation in vivo. Together, these data identify SCD as a selective vulnerability in SMAD4-mutant cancers. Citation Format: Alvin Z. Lu, Silvia Fenoglio, Hsin-Jung Wu, Yingnan P. Chen. Stearoyl-CoA desaturase is a synthetic lethal target in SMAD4-deficient cancers [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Expanding and Translating Cancer Synthetic Vulnerabilities; 2024 Jun 10-13; Montreal, Quebec, Canada. Philadelphia (PA): AACR; Mol Cancer Ther 2024;23(6 Suppl):Abstract nr B019.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".