Abstract PR-012: Proteogenomic analysis of enriched tumor epithelium identifies prognostic signatures and an increased dependency of homologous recombination proficient cells on bmi1 in high grade serous ovarian cancer
Bibliographic record
Abstract
Abstract Background: Proteogenomic characterization efforts of high-grade serous ovarian cancer (HGSOC) have largely assessed tumors with high tumor cellularity (“purity”) to enhance detection of cancer-related biomarkers. Comprehensive analyses of cancers independent of purity are needed to reflect a “real-world” spectrum of patient phenotypes. To improve identification of clinically relevant molecular alterations associated with HGSOC independent of tumor purity, we applied cellular enrichment techniques coupled with comprehensive multi-omic analyses in HGSOC patient tumors spanning a broad spectrum of purity. Methods: Seventy HGSOC patient tumors were selected exhibiting low to high tumor purity (20-90%) balanced by clinical outcomes. Whole genome sequencing (WGS), mRNA-seq, quantitative global proteomics, methylation array and reverse phase protein array analyses of Bulk Tumor and laser microdissected (LMD) Enriched Tumor (ET) cells separately for each case. Prognostic and homologous recombination deficient (HRD) expression signatures were validated in two independent cohorts. Results: Analysis of WGS in ET compared to WT resulted in significant increases in sensitivity to identify somatic SNV, indel, structural variants, and neoepitopes (SNV p = 4.8E−3; indel p = 7.7E−5; SV, p = 1.1E−8, neoepitopes, p= 1.0E−10). Following LMD, 63% of cases characterized as mesenchymal subtype (C4) in WT samples were reclassified to other molecular subtypes (1.0E−3) suggesting that historical HGSOC expression subtypes strongly reflect tumor purity. Analysis of paired primary and metastatic tumors demonstrated that WT proteomic profiles largely cluster by anatomic location while ET proteomic profiles co-cluster in a patient centric manner. Hierarchical cluster analysis identified patients with longer progression free survival associated with increased immune signatures and validated proteins correlating with tumor infiltrating lymphocytes (TILs) in 65 tumors collected from an independent cohort of 12 HGSOC patients, as well as with overall survival in an additional cohort of 126 HGSOC patients. We identified that homologous recombination deficient (HRD) tumors express transcriptomic and proteomic pathways associated with metabolism and oxidative phosphorylation that we validated in independent patient cohorts, including 69 HRD-positive HGSOC tumors. We further identified that polycomb complex protein BMI-1 is elevated in HR proficient (HRP) tumors, that elevated BMI-1 correlates with poor overall survival in HRP but not HRD HGSOC patients, and that HRP HGSOC cells exhibit increased sensitivity to BMI-1 inhibition. Conclusion: Proteogenomic alterations in HGSOC tumors uncovered using enrichment techniques highlight the importance of specimen preparation in the identification of tumor alterations. Our efforts provide insights into low purity HGSOC correlating TILs with improved disease prognosis, expression alterations associated with HRD status, and increased sensitivity of HRP tumor cells to BMI-1 inhibitors. Citation Format: George Larry Maxwell, Nicholas Bateman, Tamara Abulez, Anthony Soltis, Andrew McPherson, Seongmin Choi, Dale Garsed, Chunqiao Tian, Brian Hood, Kelly Conrads, Pang-ning Teng, Julie Oliver, Glenn Gist, Dave Mitchell, Tracy Litzi, Christopher Tarney, Clifton Dalgard, Matthew Wilkerson, Mariaelena Pierobon, Emmanuel Petricoin, Chunhua Yan, Daoud Meerzaman, Clara Bodelon, Nicolas Wentzensen, Jerry S. H. Lee, David Huntsman, Sohrab Shah, Craig Shriver, Neil Phippen, Kathleen Darcy, David Bowtell, Thomas Conrads. Proteogenomic analysis of enriched tumor epithelium identifies prognostic signatures and an increased dependency of homologous recombination proficient cells on bmi1 in high grade serous ovarian cancer [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr PR-012.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".