Immune related biomarkers in biliary tract cancers (BTC).

Abstract

e16191 Background: Biliary tract cancers are aggressive tumors with limited treatment options. Several ongoing clinical trials are currently exploring role of immune therapy in advanced BTC. Programmed death-ligand 1 (PD-L1), tumor mutational burden (TMB), and microsatellite instability (MSI) are commonly used immune related-biomarkers. Herein, we analyzed the TMB, MSI and PD-L1 expression in advanced BTC. Methods: We retrospectively evaluated the association of TMB, MSI and PD-L1 expression with survival and related treatment outcomes. Results: The immune mediated biomarkers were reported in a total of 62 BTC patients (pts). The mean age of the pts is 73 (range 32-83) years, with predominant females (59%) and Caucasians (82%). The most common histology noted was intrahepatic cholangiocarcinoma (67%) followed by extrahepatic cholangiocarcinoma (18%) and gallbladder carcinoma (15%). Approximately, 40% received 2 or more lines of therapy while 20% of patients didn’t receive any treatment and over. The treatment regimen included gemcitabine-based regimen (35%), 5FU based regimen (18%), immune therapy (15%) and targeted therapy (6%). The TMB was low in 52 pts (83%), intermediate 7 pts (11%) and high in 2 pts (3%). MSI is stable in 55 pts (89%) and PD-L1 expression is negative in 29 pts (47%) and positive in 23 pts (37%). Conclusions: Our data suggests the BTC’s have in general low TMB, are microsatellite stable and have low PD-L1 expression. The potential prognostic and predictive value of these immune related- biomarkers need to be validated in larger studies.

Therapeutic Effect and Prognosis of Biliary Tract Tumor Transformation

“…Its main cause is that patients have had chronic or nonspecific reactions and a variety of complications due to low immunity and imperfect autoimmune system during treatment. The disease of patients with biliary tract cancer is multiple, which is characterized by long cell cycle, wide distribution, and high degree of damage compared with other types of cancer [ 13 , 14 ]. In clinic, CT detection technology is usually used to judge whether there is the risk of infection, as well as the analysis of possible complications and death risk after treatment, so as to evaluate the prognosis and clinical efficacy of patients.…”