Characteristics of genomic alterations in Chinese cholangiocarcinoma patients

Author:

Jiang Guoping1,Zhang Wu1,Wang Ting1,Ding Songming1,Shi Xiaoliang2,Zhang Shuirong2,Shi Weiwei2,Liu Angen2,Zheng Shusen3

Affiliation:

1. The Department of Hepatobiliary and Pancreatic Surgery, Shulan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, Zhejiang, P.R. China

2. OrigiMed Co. Ltd, Shanghai, P.R. China

3. The Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang, P.R. China

Abstract

Abstract Objective Cholangiocarcinoma (CCA) is a primary malignancy, which is often diagnosed as advanced and inoperable due to the lack of effective biomarkers and poor sensitivity of clinical diagnosis. Here, we aimed to identify the genomic profile of CCA and provided molecular evidence for further biomarker development. Methods The formalin-fixed paraffin-embedded and matching blood samples were sequenced by deep sequencing targeting 450 cancer genes and genomic alteration analysis was performed. Tumor mutational burden (TMB) was measured by an algorithm developed in-house. Correlation analysis was performed by Fisher’s exact test. Results The most commonly altered genes in this cohort were TP53 (41.27%, 26/63), KRAS (31.75%, 20/63), ARID1A and IDH1 (15.87%, 10/63, for both), SMAD4 (14.29%, 9/63), FGFR2 and BAP1 (12.70%, 8/63, for both), and CDKN2A (11.11%, 7/63). BAP1 mutations were significantly correlated with the CCA subtype. LRP2 mutations were significantly associated with the younger intrahepatic CCA (iCCA) patients, while BAP1 was associated with iCCA patients aged 55–65 years old. BAP1 and LRP2 mutations were associated with TMB. Conclusions Most Chinese CCA patients were 50–70 years old. BAP1 and LRP2 mutations were associated with the age of iCCA patients.

Funder

National S&T Major Project

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology,General Medicine

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