Clinicogenomic real-world data analysis of patients (pts) with <i>KRAS G12C-</i>mutant advanced non-small cell lung cancer (aNSCLC) from the natural history cohort of the Blood First Assay Screening Trial (BFAST).
Bibliographic record
Abstract
9023 Background: BFAST (NCT03178552) is a global, multicohort trial of targeted therapies or cancer immunotherapy (CIT) in treatment (tx)-naive aNSCLC. Pts are screened for the study using comprehensive blood-based next-generation sequencing (NGS). In the BFAST natural history cohort, data were collected for pts who received tx or care outside the study’s interventional cohorts. Here, we analyzed the subset of pts whose tumors have KRAS G12C mutations (mut). Methods: Pts eligible for blood-based NGS screening had unresectable aNSCLC, ECOG PS 0-2 and no prior systemic tx for aNSCLC. Pts without tissue samples were eligible. Key genomic and molecular features, including bTMB, PD-L1 and ctDNA concentration; cancer tx; tx response and survival data were collected and analyzed in an exploratory analysis. Results: In the full BFAST screening population through December 2020 (N = 5917), 23% of pts had tumors with any KRAS mut; 9% were KRAS G12C. Pts were enrolled in the natural history cohort from October 2018 to October 2020 (n = 1017); 63 pts had tumors with KRAS G12C mut. Median age was 68 y, 59% were male, 86% had ECOG PS 0-1 and 84% had non-squamous histology. Co-mut in TP53 (60%) and STK11 and/or KEAP1 (25%) were detected; 8% of pts had bTMB ≥16. High PD-L1 expression per local testing was reported in 32% of pts; 38% were not tested. Among pts with 1L tx (n = 50), 50%, 28% and 20% received chemo, CIT or CIT + chemo, respectively, with real-world response rates (CR/PR per physician assessment) of 20%, 29% and 30%, respectively. Of the 13 pts (21%) without documented 1L tx, 7 died ≤3 mo from enrollment. Median OS was 14 mo overall, with differences found between key genomic subsets (Table). Conclusions: BFAST is the first study to identify KRAS G12C mut using blood-based NGS and describe the natural history, clinical characteristics and genomic landscape of this pt subset. Up to 21% of pts may not receive 1L tx. Pts with TP53 co-mut appear to have favorable outcomes, while those with STK11 and/or KEAP1 co-mut appear to have inferior outcomes vs pts without these mut. The lack of PD-L1 testing in many pts indicates a lack of tissue for comprehensive tissue testing, highlighting a potential benefit of blood-based detection of biomarkers, including KRAS G12C. Clinical trial information: NCT03178552. [Table: see text]
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".