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Concordance of ctDNA and tissue genomic profiling in advanced biliary tract cancer

2024-10-21

Abstract

 

Background & Aims

Recent advances in molecular profiling have enabled the identification of potential therapeutic targets for biliary tract cancer (BTC). However, in patients with BTC, molecular profiling is hindered by challenges in obtaining adequate tissue samples. Circulating tumor DNA (ctDNA) may offer an alternative to tissue-based analysis. Herein, we aimed to assess the concordance between ctDNA and tissue genomic profiling in a large cohort of Asian patients with advanced BTC, and to evaluate the feasibility of liquid biopsy in BTC treatment.

 

Methods

This study included patients with systemic treatment-naive advanced BTC, treated at CHA Bundang Medical Center between January 2019 and December 2022. We enrolled patients with available baseline tissue-based next-generation sequencing, and sufficient plasma samples for ctDNA analysis (AlphaLiquid®100 from IMBdx).

 

Results

Among 102 enrolled patients, 49.0% had intrahepatic cholangiocarcinoma, 26.5% extrahepatic cholangiocarcinoma, and 24.5% gallbladder cancer. The concordance between intra-patient ctDNA and tumor tissue mutations revealed a sensitivity of 84.8%, and positive predictive value of 79.4%. ctDNA revealed targetable alterations in 34.3% of patients – including FGFR2 fusions, IDH1 mutations, microsatellite instability-high, ERBB2 amplifications, PIK3CA mutations, BRCA1/2 mutations, and MET amplifications. Notably, a novel FGFR2-TNS1 fusion was identified in ctDNA, which was not targeted in the tissue NGS panel. A high maximum somatic variant allele frequency in ctDNA was associated with poor prognosis after gemcitabine/cisplatin-based chemotherapy, in terms of both overall survival (p = 6.9 × 106) and progression-free survival (p = 3.8 × 107

).

 

Conclusions

Among patients with advanced BTC, ctDNA-based genotyping showed acceptable concordance with tissue genomic profiling. Liquid biopsy using ctDNA could be a valuable complement to tissue-based genomic analysis in BTC.