Abstract CT105: MK-3475 (anti-PD-1 monoclonal antibody) for non-small cell lung cancer (NSCLC): Antitumor activity and association with tumor PD-L1 expression
Bibliographic record
Abstract
Abstract Background: MK-3475, a humanized monoclonal IgG4 antibody against PD-1, has demonstrated durable antitumor activity in NSCLC and melanoma. Preliminary data presented at the 2013 World Congress of Lung Cancer showed a relationship between tumor PD-L1 expression and overall response to MK-3475. Here, we present updated data on tumor PD-L1 expression and its relationship with overall response rate (ORR), progression-free survival (PFS), and overall survival (OS). Methods: In a phase I study, 38 previously treated NSCLC patients received MK-3475 10 mg/kg Q3W. Tumor response was assessed every 9 weeks by immune-related response criteria (irRC) per investigator review and by RECIST v1.1 per independent radiologic review. A new tumor biopsy performed within 60 days prior to the first dose of MK-3475 was required. Tumor PD-L1 expression was assessed by IHC. A potential cut point for PD-L1 expression was determined by the Youden Index from a receiver operating characterstics curve developed from the investigators’ irRC assessments. Results: Confirmed ORR for the entire cohort of 38 patients per investigators’ irRC assessments was 24%, median PFS was 9 weeks, and median OS was 51 weeks. PD-L1 IHC score was above a potential cut point in 9 patients and below a potential cut point in 22 patients; tumor was not submitted for or staining was not evaluable in 7 patients. Significant associations between tumor PD-L1 expression and ORR, PFS, and OS were observed (Table). Conclusions: Tumor PD-L1 expression levels were associated with tumor response, PFS, and OS in patients with NSCLC treated with MK-3475. The preliminary finding of minimal anti-tumor activity in patients whose tumors express low levels of PD-L1 suggests that PD-L1 is an important biomarker for patients with NSCLC treated with MK-3475. Relationship of PD-L1 expression and activity in tumor biopsies evaluable by IHCPD-L1 TumorExpressionN for irRCORR by irRC, n (%),[95% CI]N for RECISTORR by RECIST, n (%),[95% CI]PFS rate* at6 months(95% CI)PFS StatisticsOS rate^ at6 months(95% CI)OS StatisticsHigh (score ≥ potential cut point)96 (67%), [30%, 93%]74 (57%), [18%, 90%]67% (42%-100%)Median: not reached89% (71%-100%)Median: not reachedLow (score < potential cut point)220 (0%), [0%, 15%]201 (5%),# [0%, 25%]11% (3%-40%)Median: 2.1 months33% (18%-62%)Median: 3.9 monthsHR (95% CI) for high vs low PD-L1 expression_____0.22 (0.07-0.67)_0.32 (0.10-0.99)One-sided P value(PD-L1 association test)_<0.001 (Fisher's exact test)__0.009 (Fisher's exact test)0.004 (Cox regression)_0.024 (Cox regression)*Based on investigators' irRC assessments.#Response was not confirmed.^Based on the 31 patients with evaluable tumor. Citation Format: Leena Gandhi, Ani Balmanoukian, Rina Hui, Omid Hamid, Naiyer A. Rizvi, Natasha Leighl, Matthew Gubens, Jonathan W. Goldman, Gregory M. Lubiniecki, Kenneth Emancipator, Marisa Dolled-Filhart, Jared K. Lunceford, Michelle Niewood, Kevin Gergich, Edward B. Garon. MK-3475 (anti-PD-1 monoclonal antibody) for non-small cell lung cancer (NSCLC): Antitumor activity and association with tumor PD-L1 expression. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr CT105. doi:10.1158/1538-7445.AM2014-CT105
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".