Tumor regression and pharmacodynamic (PD) biomarker validation in non-small cell lung cancer (NSCLC) patients treated with the ErbB/VEGFR inhibitor BMS-690514
Bibliographic record
Abstract
8098 Background: BMS-690514 is an oral selective inhibitor of EGFR, HER2, and VEGFR1–3. Previous results from the phase I portion of this phase I/II study established 200 mg/day as safe and tolerable (ASCO 2008; abstr 2564). Methods: Erlotinib-naïve and erlotinib-resistant adult patients with advanced/metastatic, measurable NSCLC received BMS-690514 200 mg/d. Eligible patients had an ECOG PS ≤1 and adequate organ function. Objectives were to assess disease control rate (DCR; CR, PR, SD ≥4 months), safety, PK and potential predictive and PD biomarkers of BMS-690514. Response was assessed every 8 weeks (modified WHO criteria). Predictive biomarkers included EGFR copy number, and EGFR and KRAS mutations. PD biomarkers included immunohistochemistry of EGFR signaling proteins in skin biopsies, circulating sVEGFR2, blood pressure, skin rash and diarrhea. Results: For 60 patients treated, DCR were 11/28 (39%) and 7/32 (22%) for erlotinib-naive and -resistant patients, respectively. DCR was significantly higher among patients harboring an EGFR mutation (6/8) than those with WT EGFR (5/18). One erlotinib-naive patient had PR (57 wks) and subsequent surgical removal of remaining tumor. Regression (48%) was seen in one erlotinib-naive patient harboring a KRAS G13D mutation. One erlotinib-resistant patient had PR (66%, 31 wks). Two erlotinib-resistant patients with EGFR T790M mutations had SD with 6% and 31% decrease in tumor burden. Most frequent treatment-related AES were diarrhea (90%), skin rash (31%), asthenia (29%), anorexia (27%), hypertension (26%), and reversible acute renal insufficiency (11%). sVEGFR2 (14% decrease from baseline, n=14) and decreased pMAPK levels from skin biopsies (14 of 18 pts) were consistent with EGFR and VEGFR2 inhibition. Conclusions: BMS-690514 200 mg/d showed evidence of anti-tumor activity and disease control in patients with NSCLC, including erlotinib-resistant and those with WT EGFR, EGFR T790M or KRAS mutations. Predictive and PD clinical biomarkers confirmed inhibition of both EGFR and VEGFR signaling pathways by BMS-690514. A randomized phase II trial versus erlotinib in NSCLC is underway. [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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".