Litcius/Paper detail

Precision oncology for intrahepatic cholangiocarcinoma in clinical practice

Aurelie Tomczak, Christoph Springfeld, Michael T. Dill, De‐Hua Chang, Daniel Kazdal, Ursula Wagner, Arianeb Mehrabi, Antje Brockschmidt, Tom Luedde, Patrick Naumann, Albrecht Stenzinger, Peter Schirmacher, Thomas Longerich

2022British Journal of Cancer35 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Advanced cholangiocarcinoma has a poor prognosis. Molecular targeted approaches have been proposed for patients after progression under first-line chemotherapy treatment. Here, molecular profiling of intrahepatic cholangiocarcinoma in combination with a comprehensive umbrella concept was applied in a real-world setting. METHODS: In total, 101 patients received molecular profiling and matched treatment based on interdisciplinary tumour board decisions in a tertiary care setting. Parallel DNA and RNA sequencing of formalin-fixed paraffin-embedded tumour tissue was performed using large panels. RESULTS: Genetic alterations were detected in 77% of patients and included gene fusions in 21 patients. The latter recurrently involved the FGFR2 and the NRG1 gene loci. The most commonly altered genes were BAP1, ARID1A, FGFR2, IDH1, CDKN2A, CDKN2B, PIK3CA, TP53, ATM, IDH2, BRAF, SMARCA4 and FGFR3. Molecular targets were detected in 59% of patients. Of these, 32% received targeted therapy. The most relevant reason for not initiating therapy was the deterioration of performance status. Patients receiving a molecular-matched therapy showed a significantly higher survival probability compared to patients receiving conventional chemotherapy only (HR: 2.059, 95% CI: 0.9817-4.320, P < 0.01). CONCLUSIONS: Molecular profiling can be successfully translated into clinical treatment of intrahepatic cholangiocarcinoma patients and is associated with prolonged survival of patients receiving a molecular-matched treatment.

Topics & Concepts

Intrahepatic CholangiocarcinomaMedicineClinical OncologyInternal medicinePrecision oncologyOncologyPathologyCancerCholangiocarcinoma and Gallbladder Cancer StudiesFibroblast Growth Factor ResearchRadiomics and Machine Learning in Medical Imaging