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3530 Background: Angiogenesis factors have been reported as prognostic and predictive biomarkers of angiogenesis inhibitors for mCRC (Weickhardt AJ. Br J Cancer 2015. Tabernero J. Ann Oncol 2018). We investigated whether plasma angiogenesis factors could predict the efficacy of biologics combined with chemo in 1L treatment in patients (pts) with RAS wild-type mCRC. Methods: Serial plasma samples were prospectively collected at the time points of pre- and post-treatments in mCRC pts receiving biologics in either 1L or 2nd-line (2L) chemo. From Sep 2017 to Dec 2020, 497 pts were enrolled [1L chemo plus bevacizumab (1L BEV, n=102), 1L chemo plus anti-EGFR antibody (1L aEGFR, n=100), 2L chemo plus bevacizumab (n=100), 2L FOLFIRI plus RAM (n=99), 2L FOLFIRI plus aflibercept (n=85) and other treatment (n=11)]. Total of 17 plasma angiogenesis factors (HGF, PlGF, VEGF-A, VEGF-D, Angiopoietin-2, IFN-γ, IL-6, IL-8, sNeuropilin-1, TSP-2, OPN, sVEGFR1, sVEGFR2, sVEGFR3, sICAM-1, sVCAM-1, and TIMP-1) were analyzed by the multiplex assay with Luminex® technology. Interactions of their pre-treatment measurements with treatment groups on PFS and OS were assessed via Cox proportional hazards model. The strength of interactions was estimated using a propensity score weighting analysis, and the continuous plasma angiogenesis variables were categorized according to the median. The significance level in the interaction was defined as p≤0.1. Results: 133 pts were included in adjusted RAS wild-type 1L cohort (1L BEV: n=33, 1L aEGFR [reference]: n=100). Baseline characteristics of adjusted RAS wild-type 1L cohort were as follows; median age 64 years; male 62.4%; left-sided tumor 88.7%; triplet chemo 15.0%. Propensity-score weighted Cox model for OS showed significant interactions in IL-8 (median 8.03 pg/mL, high: HR 1.738, p=0.0838, Low: HR 0.479, p=0.2624, interaction p=0.0283), sVEGFR-1 (median 1,350 pg/mL, high: HR 0.333, p=0.1770, Low: HR 1.311, p=0.3004, interaction p=0.0777), and sVCAM-1 (median 1,020,000 pg/mL, high: HR 0.100, p=0.0558, Low: HR 1.616, p=0.1765, interaction p=0.0011). In terms of PFS, there were significant interactions in IL-8 (high: HR 1.322, p=0.0418, Low: HR 0.517, p=0.0528, interaction p=0.0752) and sVCAM-1 (high: HR 0.285, p=0.0414, Low: HR 1.200, p=0.7725, interaction p=0.0156). Conclusions: Pre-treatment plasma IL-8 and sVCAM-1 could be predictive biomarkers for efficacy of biologics combined with chemo in 1L treatment of RAS wild-type mCRC. Clinical trial information: UMIN000028616. [Table: see text]

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4086 Background: Abnormalities in the MAPK pathway are potential therapeutic targets in various cancers. However, the clinical impact of alterations in the MAPK pathway in BTC have not been elucidated, especially outside of canonical mutations in KRAS and BRAF. We investigated the clinical outcomes of advanced BTC with MAPK pathway alterations treated with chemotherapy in Japan and the United States. Methods: Patients with advanced BTC who received gemcitabine plus cisplatin as first-line therapy were included from the GOZILA study in Japan and Duke Molecular Registry of Tumors in the US. Genetic abnormalities were detected by Guardant360, a cell-free DNA assay, in Japan and by blood or tissue-based next-generation sequencing (NGS) at Duke University. Two hundred and seven patients with BTC from Japan were included in an exploratory cohort to evaluate the association of MAPK alterations with overall survival (OS) according to MAPK alteration status. One hundred and ten patients with BTC from both Japan and the US harboring oncogenic alterations in the MAPK pathway were included in a biomarker selected cohort to assess the association of specific MAPK alterations with OS. Multivariate analysis was performed using a Cox regression model based on a univariate p-value < 0.2. Results: MAPK pathway-related oncogenic alterations detected in each cohort are shown in the table below. In the exploratory cohort, median OS was shorter for patients with MAPK alterations vs. no MAPK alteration (15.9 m vs. 24.9 m, log-rank p = 0.001). Based on univariate analysis, the following covariates were selected for multivariate analyses: age, prior resection, and MAPK pathway alteration in the exploratory cohort; country, the timing of NGS, distant metastasis, KRAS amplification, and BRAF class 2 mutation in the biomarker selected cohort. In the exploratory cohort, multivariate analysis identified MAPK pathway alterations as an independent predictor of shorter OS with a HR of 1.92 (95% CI = 1.28-2.87, p = 0.001). In the biomarker selected cohort, multivariate analysis identified BRAF class 2 mutations and KRAS amplification as independent predictors of shorter OS with a HR of 16.2 (95% CI = 3.26-80.8, p = 0.001) and 5.97 (95% CI = 1.74-19.3, p = 0.002) respectively. Conclusions: MAPK pathway alterations, especially BRAF class 2 mutation and KRAS amplification, had a significant negative impact on clinical outcomes in BTC receiving first-line chemotherapy. These results are newly confirmed in BTC. [Table: see text]