Hereditary Colorectal Cancer Diagnosis by Next-Generation Sequencing.
Curr Protoc
; 3(12): e941, 2023 Dec.
Article
en En
| MEDLINE
| ID: mdl-38112503
ABSTRACT
Pathogenic germline variants causally contribute to the etiology of colorectal cancer (CRC) and polyposis. The era of massively parallel sequencing, also known as next-generation sequencing (NGS), make it highly possible, effective, and efficient to offer rapid and cost-effective diagnosis for CRC. To aid clinical laboratories in testing the most clinically significant genes, along with the published ACMG CRC technical standard guidelines, this protocol aims to provide a step-by-step technical workflow for carrying out the NGS-panel based CRC molecular diagnosis focusing on the wet lab portion of library preparation and massively parallel sequencing. Using the most popular pull-down-based target enrichment, the chapter particularly encompasses genomic DNA (gDNA) fragmentation, adapter ligation, indexing, hybridization, and capture, which is the most variable and technically challenging part of NGS testing involving at least 3 quality control (QC) checkpoints plus the pre- and post-capture PCR. The gDNA extraction and sequencing is less covered because they are relatively standard technologies with little variations and choices. Although this protocol also introduces pertinent testing algorithms and a brief guideline for pre- and post-testing genetic counselling, the audiences are required to refer to National Comprehensive Cancer Network (NCCN) clinical practice guidelines to determine the most appropriate testing strategies. Since NGS panel-based testing is a highly complex and dynamic platform with multiple choices from different technology and commercial resources, this technical benchtop-based protocol also aims to cover some of the key ramification points for decision-making by each laboratory at the discretion of the directors. © 2023 Wiley Periodicals LLC. Basic Protocol Hereditary colorectal cancer (CRC) diagnosis by next-generation sequencing.
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Bases de datos:
MEDLINE
Asunto principal:
Neoplasias Colorrectales
Límite:
Humans
Idioma:
En
Revista:
Curr Protoc
Año:
2023
Tipo del documento:
Article