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胆囊癌的基因组图谱:来自全外显子组测序的见解

Genomic landscape of gallbladder cancer: insights from whole exome sequencing.

作者信息

Awasthi Supriya, Kumar Rahul, Pradhan Dibyabhaba, Rawal Neetu, Goel Harsh, Sahu Parameswar, Sisodiya Sandeep, Rana Rashmi, Kumar Sunil, Dash Nihar Ranjan, Das Prasenjit, Agrawal Usha, Rath G K, Kaur Tanvir, Dhaliwal R S, Hussain Showket, Saluja Sundeep Singh, Tanwar Pranay

机构信息

Laboratory Oncology Unit, Dr. BRA-IRCH, AIIMS.

Centralized Core Research Facility, AIIMS.

出版信息

Int J Surg. 2024 Nov 1;110(11):6883-6897. doi: 10.1097/JS9.0000000000002031.

DOI:10.1097/JS9.0000000000002031
PMID:39166960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11573093/
Abstract

BACKGROUND

Gallbladder cancer (GBC) is a common gastrointestinal malignancy noted for its aggressive characteristics and poor prognosis, which is mostly caused by delayed detection. However, the scarcity of information regarding somatic mutations in Indian patients with GBC has hampered the development of efficient therapeutic options. In the present study, the authors attempted to bridge this gap by revealing the mutational profile of GBC.

MATERIALS AND METHODS

To evaluate the somatic mutation profile, whole exome sequencing (WES) was performed on 66 tumor and matched blood samples from individuals with GBC. Somatic variant calling was performed using GATK pipeline. Variants were annotated at pathogenic and oncogenic levels, using ANNOVAR, VEP tools and the OncoKB database. Mutational signature analysis, oncogenic pathway analysis and cancer driver genes identification were performed at the functional level by using the maftools package.

RESULTS

Our findings focused on the eight most altered genes with pathogenic and oncogenic mutations: TP53, SMAD4, ERBB3, KRAS, ARID1A, PIK3CA, RB1, and AXIN1. Genes with pathogenic single nucleotide variations (SNVs) were enriched in oncogenic signaling pathways, particularly RTK-RAS, WNT, and TP53 pathways. Furthermore, our research related certain mutational signatures, such as cosmic 1, cosmic 6, and cosmic 18, 29, to known characteristics including patient age and tobacco smoking, providing important insights into disease etiology.

CONCLUSIONS

Given the scarcity of exome-based sequencing studies focusing on the Indian population, this study represents a significant step forward in providing a framework for additional in-depth mutational analysis. Genes with substantial oncogenic and pathogenic mutations are promising candidates for developing targeted mutation panels, particularly for GBC detection.

摘要

背景

胆囊癌(GBC)是一种常见的胃肠道恶性肿瘤,以其侵袭性特征和不良预后而闻名,其主要原因是检测延迟。然而,关于印度胆囊癌患者体细胞突变的信息匮乏,阻碍了有效治疗方案的开发。在本研究中,作者试图通过揭示胆囊癌的突变谱来弥补这一差距。

材料与方法

为了评估体细胞突变谱,对66例胆囊癌患者的肿瘤及匹配的血液样本进行了全外显子组测序(WES)。使用GATK流程进行体细胞变异检测。使用ANNOVAR、VEP工具和OncoKB数据库在致病和致癌水平对变异进行注释。通过使用maftools软件包在功能水平上进行突变特征分析、致癌途径分析和癌症驱动基因鉴定。

结果

我们的研究结果聚焦于8个具有致病和致癌突变的改变最多的基因:TP53、SMAD4、ERBB3、KRAS、ARID1A、PIK3CA、RB1和AXIN1。具有致病性单核苷酸变异(SNV)的基因在致癌信号通路中富集,特别是RTK-RAS、WNT和TP53通路。此外,我们的研究将某些突变特征,如cosmic 1、cosmic 6以及cosmic 18、29,与包括患者年龄和吸烟在内的已知特征相关联,为疾病病因提供了重要见解。

结论

鉴于针对印度人群的基于外显子组测序研究较少,本研究在提供额外深入突变分析框架方面迈出了重要一步。具有大量致癌和致病突变的基因是开发靶向突变检测板的有希望的候选者,特别是用于胆囊癌检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/c4d0e779cdfd/js9-110-6883-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/f46a563e0d7b/js9-110-6883-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/035dfa3902a1/js9-110-6883-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/d20efede7f4d/js9-110-6883-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/a7a0a4fef71b/js9-110-6883-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/d17fbdc67a2b/js9-110-6883-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/a2d61ce0e2e0/js9-110-6883-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/f30f8c3d6cb8/js9-110-6883-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/c4d0e779cdfd/js9-110-6883-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/f46a563e0d7b/js9-110-6883-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/035dfa3902a1/js9-110-6883-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/d20efede7f4d/js9-110-6883-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/a7a0a4fef71b/js9-110-6883-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/d17fbdc67a2b/js9-110-6883-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/a2d61ce0e2e0/js9-110-6883-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/f30f8c3d6cb8/js9-110-6883-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5426/11573093/c4d0e779cdfd/js9-110-6883-g008.jpg

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Analysis of Tumor-Associated AXIN1 Missense Mutations Identifies Variants That Activate β-Catenin Signaling.分析肿瘤相关 AXIN1 错义突变,鉴定激活 β-连环蛋白信号的变异体。
Cancer Res. 2024 May 2;84(9):1443-1459. doi: 10.1158/0008-5472.CAN-23-2268.
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COSMIC: a curated database of somatic variants and clinical data for cancer.
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Nucleic Acids Res. 2024 Jan 5;52(D1):D1210-D1217. doi: 10.1093/nar/gkad986.
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Whole exome sequencing identifies novel variants of PIK3CA and validation of hotspot mutation by droplet digital PCR in breast cancer among Indian population.全外显子组测序鉴定PIK3CA的新变异并通过液滴数字PCR验证印度人群乳腺癌中的热点突变。
Cancer Cell Int. 2023 Oct 11;23(1):236. doi: 10.1186/s12935-023-03075-6.
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