Tan, Benjamin

163 Background: Being physically inactive is an independent predictor of poor outcomes in patients with stage III colon cancer. Whether physical activity can mitigate the oncologic risk of postoperative MRD is unknown. Methods: We concluded a post hoc analysis of a phase III trial evaluating celecoxib vs. placebo and 3 vs. 6 months of adjuvant chemotherapy in patients with resected stage III colon cancer. Self-reported physical activity was assessed in standardized measures of metabolic equivalent hours per week (MET-h/wk) at 2 timepoints: 1) midway through and 2) 6 months after completing adjuvant chemotherapy, modeled as a time-weighted average. MRD was determined via a clinically validated, tumor-informed circulating tumor DNA (ctDNA) assay (Signatera, Natera, Inc.). Disease-free survival (DFS) and overall survival (OS) were estimated using flexible parametric survival models. Results: Among 763 patients (median follow-up 6.0 years), 24% were highly active (≥18 MET-h/wk) and 32% were inactive (<3 MET-h/wk); 18% were ctDNA positive. Adjusting for covariates, DFS improved in patients who were ctDNA negative and moderately active (Ref: inactive; 3-17.9 MET-h/wk; HR=0.62, 95% CI [0.40-0.97]) or highly active (HR = 0.53 [0.30-0.94]). No benefit was seen among patients who were ctDNA positive (Ref: inactive; moderately active: HR = 1.20 [0.75-1.92]; highly active: HR=0.83 [0.45-1.54]). The interaction was not significant (Pint=0.269). Physical activity did not impact OS regardless of ctDNA status. The interaction of physical activity and adjuvant celecoxib use is shown in Table. Conclusions: Among patients who were ctDNA negative, physical activity was associated with improved DFS, and may demonstrate increased survival benefit alongside adjuvant celecoxib. The additive effects of both interventions were inconclusive among those who were ctDNA positive. Support: U10CA180821, U10CA180882, U24CA196171; https://acknowledgments.alliancefound.org; Natera, Pfizer; NCT01150045. Disease-free survival by physical activity level and celecoxib use, stratified by ctDNA status. 3-yr event # at risk Adjusted HR (95% CI) P-value Pint ctDNA Negative 0.258 Inactive + placebo 23 182 Ref Active + placebo 17 132 0.74 (0.43-1.28) 0.283 Inactive + celecoxib 23 167 0.92 (0.57-1.48) 0.720 Active + celecoxib 10 146 0.40 (0.22-0.79) 0.007 ctDNA Positive 0.221 Inactive + placebo 26 33 Ref Active + placebo 15 20 0.96 (0.50-1.84) 0.903 Inactive + celecoxib 34 54 0.62 (0.37-1.05) 0.076 Active + celecoxib 14 29 0.34 (0.18-0.64) 0.001 ctDNA, circulating tumor DNA; HR, hazard ratio; CI, confidence interval. Active = ≥9 MET-h/week, inactive = <9 MET-h/week. Celecoxib use defined by assignment in CALGB/SWOG 80702. Models adjusted by T and N stage, age, sex, race, assigned cycles of fluorouracil, leucovorin, and oxaliplatin, KRAS and BRAF status, BMI, and Western diet.

162 Background: In preclinical studies, the tryptophan-metabolizing enzyme, Indoleamine 2, 3-dioxygenase 1 (IDO1), promotes resistance to radiation in colorectal cancer, and IDO1 inhibition with epacadostat improves tumor radiosensitivity. In a phase 1 trial, patients (pts) with locally advanced rectal cancer (LARC, n=17) were treated with epacadostat in combination with short course radiotherapy (SCRT) and CAPOX which was well-tolerated, and the recommended phase 2 dose (RP2D) of epacadostat was 400mg BID. Here we report efficacy and safety from the NCI-supported phase 2 (NCT03516708) multicenter, open-label trial (treatment cohort). Methods: Pts were treated with standard of care (SOC) SCRT, then SOC neoadjuvant chemotherapy (NAC) followed by SOC surgical resection or non-operative management (NOM). Epacadostat (400 mg BID) started with SCRT and continued until starting NAC (a minimum of 21 days). Eight pts were enrolled prior to discontinuation of epacadostat by Incyte in February/March 2025. The primary endpoint is Neoadjuvant Rectal (NAR) score. In patients who underwent NOM, we calculated MRI-based tumor regression grade (MR-TRG). Secondary endpoints are pathologic complete response (pCR) rate, complete clinical response (cCR) rate, and progression free survival (PFS). Results: Table 1 summarizes baseline characteristics and endpoints (primary and secondary). NOM was pursued in 7/8 (87.5%) pts, surgical resection was performed on 1/8 (12.5%). At median follow-up of 12 months, local tumor regrowth occurred in 1 pt initially treated with NOM (after tumor regrowth, he underwent salvage surgery and is currently on surveillance). Treatment with epacadostat was interrupted in 2/8 (25%) patients due to grade 3 maculopapular skin rash. Most frequent treatment-emergent adverse events (TEAEs) regardless of causality (all grades (G)/G3-4) were bloating (75%/0%), increased ALT (62.5%/0%), increased AST (50%/0%), nausea (50%/0%), and constipation (50%/0%). Grade 3 diarrhea and grade 3 non-cardiac chest pain occurred in 1 patient each (both unrelated to epacadostat). Conclusions: Epacadostat demonstrates promising efficacy and manageable safety in patients with LARC. The biomarker cohort and correlative studies are ongoing. Clinical trial information: NCT03516708 . Baseline characteristics and endpoints. Patient Age Sex Ethnicity Stage Surgery/NOM NAR MR-TRG cCR/pCR Recurrence 1 52 M Caucasian T3N1 NOM NA 2 Y/NA No 2 45 M Caucasian T3N1 NOM NA 3 Y/NA Local tumor regrowth 3 48 M Caucasian T3N2 NOM NA 3 Y/NA No 4 61 M Caucasian T4N2 NOM NA 3 Y/NA No 5 57 M Caucasian T3N0 NOM NA 1 Y/NA No 6 60 F Caucasian T3N1 Surgery 15 3 N/ypT3N0 No 7 67 M Caucasian T4N0 NOM NA 3 Y/NA No 8 51 M Caucasian T4N2 NOM NA P NA No

Abstract Background: Targeted therapies are increasingly under evaluation in clinical trials for the treatment of biliary tract cancer (BTC), and cell-free tumor DNA assays are an emerging technology for the detection of actionable alterations. Methods: ctDNA analysis was performed in patients with BTC using the CLIA-certified Guardant360 liquid biopsy assay as part of routine clinical care. The assay screens up to 73 genes for single-nucleotide variants (SNVs), 23 for insertions or deletions (INDELs), 18 for copy number variations (CNVs), and 6 for fusions. Results: 855 samples were analyzed from 751 unique BTC patients. Median age was 64 years (range, 29-89), 53% were female, and 631 (84%) had at least one alteration in their first sample. In the 751 patients, the most common genes altered were TP53 (39%), KRAS (15%), PIK3CA (13%), ARID1A (13%), EGFR (11%), FGFR2 (11%), ERBB2 (11%), NF1 (10%), IDH1 (10%), APC (9%), BRAF (9%), MYC (8%), MET (7%), CCNE1 (7%), and FGFR1 (7%). Alterations in DNA damage response genes were also seen, including BRCA2 (6%), BRCA1 (5%), ATM (4%), and MLH1 (1%). The median number of alterations per sample was 3 (range, 0-40). In a clinically annotated dataset from the Massachusetts General Hospital Cancer Center, 112 samples were obtained from 61 unique patients. Among these, 52 (85%) had intrahepatic cholangiocarcinoma (ICC), 3 (5%) had extrahepatic cholangiocarcinoma, and 6 (10%) had gallbladder cancer. 20/61 (33%) patients were treated with targeted therapy. Among 20 patients with both ctDNA and tumor sequencing results, the targetable mutation was found in both ctDNA and tumor tissue in 7/20 (35%), solely in ctDNA in 1/20 (5%), and solely in tissue in 12/20 (60%) patients. The patient with the alteration detected solely in ctDNA had insufficient tissue for analysis; she was found to have an FGFR2 F276C mutation and benefited for 8.5 months from an FGFR inhibitor on a clinical trial. Of the 12 patients whose targetable mutation was not detected in plasma, 10 (83%) had an FGFR2 fusion, 1 had an INDEL in FGFR2 (Leu262_Ala266delinsAsp), and 1 had an FGFR3 splice site mutation. 15/20 (75%) patients treated with targeted therapy were followed with serial ctDNA analysis, and a potential resistance mechanism was identified in 5/15 (33%). All 5 patients had FGFR2-fusion positive ICC and developed mutations in the FGFR2 kinase domain as a potential resistance mechanism to FGFR inhibition, including the FGFR2 V564F gatekeeper mutation in 4/5 patients. Conclusions: In patients with BTC, ctDNA-based genomic profiling can detect alterations in IDH, FGFR, PIK3CA, ERBB2, BRAF, and MET. The technology is still evolving for the detection of FGFR2 fusions, which is hindered in capture-based methods in plasma by the large number of unique breakpoints and fusion partners. ctDNA analysis may also provide a noninvasive mechanism to study resistance to targeted therapy and clonal dynamics in BTC. Citation Format: Lipika Goyal, Robin Kate Kelley, Lesli Kiedrowski, Daniel Catenacci, Kabir Mody, Rachna Shroff, Aparna Parikh, Stephanie Reyes, Jordan R. Maurer, Ryan B. Corcoran, Paul Fanta, Mike Cusnir, Becky Nagy, Richard Lanman, Michael Morse, Benjamin Tan, Milind Javle, Andrew Zhu. Blood-based genomic profiling of cell-free tumor DNA (ctDNA) in patients with biliary tract cancer [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2017 Oct 26-30; Philadelphia, PA. Philadelphia (PA): AACR; Mol Cancer Ther 2018;17(1 Suppl):Abstract nr A183.