The success rates of clinical cancer next-generation sequencing based on pathologic diagnosis: Experience from a single academic laboratory

Author:

Latham Katherine1,Dong Fei2ORCID

Affiliation:

1. Department of Pathology, Massachusetts General Hospital , Boston, MA , US

2. Department of Pathology, Brigham and Women’s Hospital , Boston, MA , US

Abstract

Abstract Objectives This article aims to establish the relationship between pathologic diagnosis and the rate of success in cancer next-generation sequencing testing. Methods Clinical next-generation sequencing results performed for solid tumors were reviewed. The rate of success was analyzed in the context of tumor type and accompanying variables. Results Out of 683 total specimens, 533 (78.0%) underwent successful sequencing. The rate of success was 91.8% for ovarian carcinomas, 87.5% for lung non–small cell carcinomas, 82.0% for colorectal adenocarcinomas, 78.3% for melanomas, 75.9% for breast carcinomas, and 64.7% for pancreatic adenocarcinomas. For specimens that successfully underwent sequencing, pancreatic adenocarcinomas had the lowest median tumor proportion and somatic RAS and TP53 mutation allele fractions compared with other tumor types. Cytology specimens had a 33.3% success rate for pancreatic adenocarcinomas (5 of 15) and a 93.3% success rate for lung carcinomas (14 of 15). Compared with tissue from primary sites, tissue from metastatic sites showed a higher success rate for pancreatic adenocarcinomas and lower success rates for colorectal adenocarcinomas and melanomas. Conclusions The success rate of cancer next-generation sequencing testing is dependent on pathologic diagnosis, tissue site, and diagnostic procedure. Understanding which specimens are at higher risk for failing molecular testing may help pathologists and clinical care teams optimize tissue acquisition and usage for patient care.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

Reference25 articles.

1. Proficiency testing of standardized samples shows very high interlaboratory agreement for clinical next-generation sequencing–based oncology assays;Merker,2019

2. Updated molecular testing guideline for the selection of lung cancer patients for treatment with targeted tyrosine kinase inhibitors: guideline from the College of American Pathologists, the International Association for the Study of Lung Cancer, and the Association for Molecular Pathology;Lindeman,2018

3. Panel sequencing for targeted therapy selection in solid tumors;Willard,2022

4. Identification of factors affecting the success of next-generation sequencing testing in solid tumors;Goswami,2016

5. Identification of major factors associated with failed clinical molecular oncology testing performed by next generation sequencing (NGS);Al-Kateb,2015

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Molecular Testing in Lung Cancer;Surgical Pathology Clinics;2023-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3