Abstract P3-10-11: Clinical implications of 63-gene signature associated with response to PARP inhibition in triple-negative and luminal B breast cancer
Bibliographic record
Abstract
Abstract Background: Two recent randomized phase 3 trials have demonstrated that treatment with PARP inhibitors results in an improvement in progression-free survival (PFS) in metastatic, BRCA-mutant, HER2-negative breast cancer patients. We have previously identified a pathway-enriched 63-gene expression signature predictive of response to olaparib in seven patient-derived xenograft breast tumors, with a high overall accuracy of 86%. We found that the prevalence of our gene signature was 45% in a cohort of triple-negative breast cancer (TNBC) patients. We wanted to better understand if there were correlations between our 63-gene signature and other known prognostic markers and to determine the prognostic significance of our mutational gene signature in different PAM50 breast cancer subtypes. Methods: We used a publicly available dataset from the NCI GDC Data Portal of TNBC patients (n = 82) to undertake clinico-pathological correlations with our 63-gene expression signature. We correlated the presence or absence of the signature with age, tumor size, lymph node status, and stage using chi2 analysis, in addition to overall survival (OS) and PFS with STATA SE. We also correlated our gene signature with known TNBC subtypes from TNBCtype. Using the METABRIC cohort (n = 2509), we looked at the mutational frequency of our gene set in cBioPortal in different breast cancer subtypes and determined the prognostic value in each subtype. Results: We did not find any statistically significant correlations between the 63-gene expression signature and age, tumor size, lymph node status, or stage amongst the 82 TNBC patients. All TNBC subtypes including 2 basal-like, immunomodulatory, low androgen receptor, 2 mesenchymal-based, and unspecified were identified in both gene-signature predicted sensitive and resistant groups, but there were no statistically significant differences between groups. The median follow-up of the TNBC cohort was 24 months, and no statistically significant associations were identified with OS or PFS. In the METABRIC cohort, the mutational frequency of any of the 63 genes for the following subgroups was identified: basal (n = 209), 85.2%; HER2+ (n = 224), 68.8%; claudin-low (n = 218), 48.2%; luminal B (n=475), 25.1%; and luminal A (n=700), 12.7%. The median follow-up of the METABRIC cohort was 127 months. We found that patients with a mutation in any of the 63 genes demonstrated a poorer overall survival, 122.8 months, in comparison to patients without any mutation, 164.6 months (P = 0.0002). In particular, luminal B patients with a mutation in any of these genes demonstrated a poorer overall survival, 90.0 months, in comparison to patients without a mutation, 132.1 months (P = 0.009). No statistically significant difference in overall survival was observed for patients with or without any mutation amongst the luminal A subtype (P = 0.26). Conclusion: We found that patients with a mutation from our 63-gene set demonstrated a worse prognosis in comparison to patients without a mutation amongst the luminal B subtype. This is suggestive that there may be a role for our 63-gene signature to select patients amongst the luminal B subtype who may benefit from PARP inhibition. Citation Format: Beniey M, Marois F, Haque T, Hassan S. Clinical implications of 63-gene signature associated with response to PARP inhibition in triple-negative and luminal B breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-10-11.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 0.001 |
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".