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PURPOSE This investigation sought to evaluate the prognostic value of pretreatment of circulating tumor DNA (ctDNA) in metastatic biliary tract cancers (BTCs) treated with platinum-based first-line chemotherapy treatment. MATERIALS AND METHODS We performed a retrospective analysis of 67 patients who underwent ctDNA testing before platinum-based chemotherapy for first-line treatment for metastatic BTC. For analysis, we considered the detected gene with highest variant allele frequency as the dominant clone allele frequency (DCAF). Results of ctDNA analysis were correlated with patients' demographics, progression-free survival (PFS), and overall survival (OS). RESULTS The median age of patients was 67 (27-90) years. Fifty-four (80.6%) of 67 patients evaluated had intrahepatic cholangiocarcinoma; seven had extrahepatic cholangiocarcinoma, and six gallbladder cancers. Forty-six (68.6%) of the patients were treated with cisplatin plus gemcitabine, and 16.4% of patients received gemcitabine and other platinum (carboplatin or oxaliplatin) combinations, whereas 15% of patients were treated on a clinical trial with gemcitabine and cisplatin plus additional agents (CX4945, PEGPH20, or nab-paclitaxel). TP53, KRAS, FGFR2, ARID1A, STK11, and IDH1 were the genes with highest frequency as DCAF. The median DCAF was 3% (0%-97%). DCAF > 3% was associated with worse OS (median OS: 10.8 v 18.8 months, P = .032). Stratifying DCAF in quartiles, DCAF > 10% was significantly related to worse PFS (median PFS: 3 months, P = .014) and worse OS (median OS: 7.0 months, P = .001). Each 1% increase in ctDNA was associated with a hazard ratio of 13.1 in OS when adjusting for subtypes, metastatic sites, size of largest tumor, age, sex, and CA19-9. CONCLUSION DCAF at diagnosis of advanced BTC can stratify patients who have worse outcomes when treated with upfront platinum-based chemotherapy. Each increase in %ctDNA decreases survival probabilities.

4079 Background: Cell-free circulating tumor DNA (ctDNA) holds significant promise and is being used for clinical decision making in multiple tumors. This study aimed to evaluate the prognostic value of pre-treatment ctDNA in metastatic biliary tract cancers (BTC) treated with platinum based first-line chemotherapy treatment. Methods: We performed a retrospective analysis of 67 patients who underwent ctDNA testing before platinum-based chemotherapy for first-line treatment for metastatic BTC. For analysis we considered the detected gene with highest variant allele frequency (VAF). Results of ctDNA analysis were correlated with patients’ demographics, progression-free survival (PFS) and overall survival (OS). Results: The median age of patients was 67 y/o (27-90). 54 (80.6%) of 67 patients evaluated had intrahepatic cholangiocarcinoma; seven had extrahepatic cholangiocarcinoma and six gallbladder cancer. 46 (68.6%) of the patients were treated with cisplatin plus gemcitabine, 14 (21%) patients received gemcitabine and other platinum (carboplatin or oxaliplatin) combinations while 7 (10.4%) patients were treated on a clinical trial with gemcitabine and cisplatin plus additional targeted agents (CX4945 or PEGPH20). TP53, KRAS, APC, FGFR2 and IDH1 were the genes with highest frequency as dominant clone. The median dominant clone allele frequency (DCAF) was 3% (0-97%). DCAF >3% was associated with statistically significant worse PFS (median PFS: 4.05 vs. 7.70 months, p=0.046) and OS (median OS: 10.8 vs. 18.8 months, p=0.056). Each 1% increase in DCAF is associated with a hazard ratio of 26.21 in OS when adjusting for subtypes, age, treatment type, and CA19-9 [Table]. Conclusions: Patients with metastatic BTC with DCAF > 3% at diagnosis have worse PFS and OS compared to patients with low ctDNA when treated with upfront platinum-based chemotherapy.[Table: see text]

Abstract Purpose Recent advances in molecular diagnostic technologies allow for the evaluation of solid tumor malignancies through noninvasive blood sampling, including circulating tumor DNA profiling (ctDNA). Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, often because of late presentation of disease. Diagnosis is often made using endoscopic ultrasound or endoscopic retrograde cholangiopancreatography, which often does not yield enough tissue for next-generation sequencing. With this study, we sought to characterize the ctDNA genomic alteration landscape in patients with advanced PDAC with a focus on actionable findings. Materials and Methods From December 2014 through October 2019, 357 samples collected from 282 patients with PDAC at Mayo Clinic underwent ctDNA testing using a clinically available assay. The majority of samples were tested using the 73-gene panel which includes somatic genomic targets, including complete or critical exon coverage in 30 and 40 genes, respectively, and in some, amplifications, fusions, and indels. Clinical data and outcome variables were available for 165 patients; with 104 patients at initial presentation. Results All patients included in this study had locally advanced or metastatic PDAC. Samples having at least one alteration, when variants of unknown significance (VUS) were excluded, numbered 266 (75%). After excluding VUS, therapeutically relevant alterations were observed in 170 (48%) of the total 357 cohort, including KRAS (G12C), EGFR, ATM, MYC, BRCA, PIK3CA, and BRAF mutations. KRAS, SMAD, CCND2, or TP53 alterations were seen in higher frequency in patients with advanced disease. Conclusion Our study is the largest cohort to date that demonstrates the feasibility of ctDNA testing in PDAC. We provide a benchmark landscape upon which the field can continue to grow. Future applications may include use of ctDNA to guide treatment and serial monitoring of ctDNA during disease course to identify novel therapeutic targets for improved prognosis. Implications for Practice Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis often due to late presentation of disease. Biopsy tissue sampling is invasive and samples are often inadequate, requiring repeated invasive procedures and delays in treatment. Noninvasive methods to identify PDAC early in its course may improve prognosis in PDAC. Using ctDNA, targetable genes can be identified and used for treatment.

e19088 Background: Significant disparities in the stage at diagnosis and survival outcomes exist between various groups diagnosed with hepatocellular carcinoma (HCC) based on sex, race, insurance coverage, and marital status. Previously published data shows disparities more in patients who are African-American, Asian and low income. Little data has been published on factors that influence timeliness to treatment initiation in patients diagnosed with HCC. Methods: Retrospective analysis was performed on 96,586 patients diagnosed with HCC from 2004-2014 using data in the National Cancer Database (NCDB). Time to treatment was divided into two categories: ≤40 days (early, n = 66322) and > 40 days (late, n = 30264). We carried out univariate and multivariate analyses to compare demographic, clinical, treatment, and facility-related factors influencing the timeliness of treatment initiation in HCC. Results: Univariate analysis revealed a significant difference in time to treatment initiation based on age, race, income, insurance status, type of area, geographic region, type of facility, and cancer stage (P < 0.001). Multivariate analysis showed that household income < $30,000/year, Pacific region, urban area of residence, black race, age 70-79 years old or ≥80 years old, academic centers, stage II disease and medicaid insurance were all factors with longer time to treatment initiation. Discussion: HCC is the sixth most common cancer and the second leading cause of cancer mortality worldwide. The 5-year relative survival for localized, regional, and distant stages are 32.6%, 10.8% and 2.4% respectively. In our results we noted significant disparities in time to treatment with respect to various socioeconomic factors. These results are comparable to that reported in other cancer types. Further subgroup analysis of our data shows 2581 patients who received their first treatment after 200 days. In a similar study done in Taiwan, those treated more than 181 days and 61–180 days after diagnosis had a 1.68 and a 1.39 increased risk of death respectively, which were statistically significant. Many factors contribute to delayed treatment, some of which are difficult to circumvent, however where possible efforts should be made to overcome these. Conclusions: Various socioeconomic factors were found to affect the time to treatment initiation in HCC patients. The next step would be to strategically implement policies and practices to address these factors.

291 Background: Cholangiocarcinoma (CCA) has limited treatment options. Genomic analyses have led to development of targeted therapies now in clinical trials, and may enable discovery of new treatment options. However, biopsy often yields limited tissue, thus hampering tissue-based profiling opportunities. Comparative data regarding circulating tumor DNA (ctDNA) analysis and tissue based profiling in CCA are limited. Methods: We performed ctDNA NGS analysis along with tissue based profiling in pts with advanced CCA (January 2015- February 2018). ctDNA analysis was performed using Guardant 360 (Guardant Health, CA) which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in up to 73 different genes and the majority of tissue based profiling using Foundation One. The mutant allele fraction (MAF) for detected alterations was calculated relative to wild type in ctDNA. Therapeutic relevance was defined as alterations within OncoKB levels 1-3B and R1. The study was conducted in accordance with Mayo Clinic IRB requirements. Results: Among 124 pts and 139 total samples, ctDNA NGS revealed at least one genomic alteration (excluding variants of uncertain significance and synonymous mutations) in 89% of pts. Median number of alterations per pt was 3 [range, 1-15], with a median MAF of 0.42% (range, 0.1% - 94.2%). The total number of unique alterations was 321. The most commonly altered genes: TP53 (31%), KRAS (11%), FGFR2 (7%), APC and PIK3CA (each 5%) and ARID1A (3%). Amplifications were noted in 14 genes: BRAF, CCND1, CCND2, CCNE1, CDK4, CDK6, EGFR, ERBB2, FGFR1, FGFR2, MET, MYC, PDGFRA, and PIK3CA. Tissue-based profiling was available in 57 (46%) pts, with a median of 63 days between liquid and tissue biopsy. IDH1, FGFR2, TP53 and KRAS were most common gene mutations found in pts who had both liquid and tissue biopsy done. (Comparative results to be shown). Conclusions: ctDNA plasma profiling of pts with advanced CCA is a feasible alternative method to gather comprehensive genomic data. Further larger cohort studies comparing landscape of alterations seen on ctDNA versus tissue-based assays are needed.

289 Background: PDAC has limited treatment options. Genomic analyses have led to development of targeted therapies now in several clinical trials, and may enable the discovery of new treatment options. However, biopsy often yields limited tissue, thus hampering tissue-based profiling opportunities. Data regarding circulating tumor DNA (ctDNA) profiling in PDAC during real time clinical practice is limited. Methods: We performed ctDNA NGS analysis in pts with advanced PDAC (December 2014–August 2018). ctDNA analysis was performed using Guardant 360 (Guardant Health, CA), which detects single nucleotide variants, amplifications, fusions, and specific insertion/deletion mutations in up to 73 different genes. The mutant allele fraction (MAF) for detected alterations was calculated relative to wild type in ctDNA. Therapeutic relevance (TR) was defined as possible treatments within OncoKB levels 1-3B and R1. The study was conducted in accordance with Mayo Clinic Institutional Review Board requirements. Results: Among 171 pts and 206 total samples, ctDNA NGS revealed at least one genomic alteration in 150 pts (88%). Median number of alterations per patient was 3 [range, 1-15]. The total number of unique alterations was 450 with the most commonly altered genes being: TP53 (181 alterations, 40%), followed by KRAS (118 alterations, 26%), CDKN2A (23 alterations, 5%), SMAD4 (15 alterations, 3%), EGFR (11 alterations, 2.4%), PIK3CA (9 alterations, 2%), GNAS (8 alterations, 1.5%). Amplifications were noted in 16 genes, including BRAF, CCND2, CCNE1, CDK4, CDK6, EGFR, ERBB2, FGFR1, FGFR2, KIT, KRAS, MET, MYC, PDGFRA, PIK3CA and RAF1. Therapeutically relevant alterations were seen in 95 pts of the 150 pts (63%). Tissue based profiling (Results to be shown) was done in 56 (33%) pts of total 171 pts with a median of 130 days between ctDNA and tissue biopsy. KRAS and TP53 were the most common gene mutations found in patients with both liquid and tissue biopsy results. Conclusions: ctDNA plasma profiling of pts with advanced PDAC is a feasible alternative method to gather comprehensive genomic data.

288 Background: Obesity is a risk factor for developing cholangiocarcinoma (CCA). However, the effect of obesity on survival of CCA is unclear. The primary aim of this study was to analyze the impact of obesity upon overall survival of CCA patients. Secondary aims were to analyze impact of obesity upon other disease characteristics such as tumor site, stage, age, sex, BMI and Ca 19-9. Methods: A total of 411 unique pts diagnosed with CCA at Mayo Clinic Florida between 2000 and 2018 were retrieved from our collective SDMS database. Variables evaluated included:demographics, Body Mass Index (BMI), AJCC stage, tumor location and Ca 19-9.A total of 185 pts had all data available pertaining to these variables. We further restricted the analysis to pts with intrahepatic CCA classified BMI as per CDC criteria normal (18.5-25kg/m2), overweight (25-29.9kg/m2) and obese (≥30 kg/m2), thus leaving a total of 152 pts. Continuous and categorical variables were compared across BMI groups using Chi-squared or Fisher’s exact test. Overall survival rates after diagnosis at 1, 2 and 3 years were estimated using Kaplan-Meier method. Results: Among 152 pts included in the study, 28% were normal weight, 40% were overweight and 32% were obese. The overall survival rate at 1, 2 and 3 years for normal weight pts with all stages combined was 54.1%, 35%, and 30.7%, respectively. The overall survival rate at 1, 2 and 3 years for overweight pts with all stages combined was 59.7 %, 32.6%, and 25.4%, respectively. The overall survival rate at 1, 2 and 3 years for obese pts with all stages combined was 63.9%, 37.6%, and 26.7%, respectively(p = 0.8766). Multivariate analysis demonstrated is no significant difference in overall survival for obese pts compared to normal or overweight pts.(Table to be shown) However it showed, gender and Ca19-9 were statistically significant predictors of overall survival, with males and pts with Ca19-9≥100 doing worse (HR1.65 (CI = 1.05, 2.61, p = 0.031) and HR 2.31 (CI = 1.49, 3.59, p = < 0.01), respectively). Conclusions: BMI did not make a significant impact on the overall survival, though there may be a trend toward worse OS for ptswith higher BMI. A larger, stage focused evaluation is warranted for further exploration of this trend.