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Sequence-Based Platforms for Discovering Biomarkers in Liquid Biopsy of Non-Small-Cell Lung Cancer

Authors :
Liam J. Brockley
Vanessa G. P. Souza
Aisling Forder
Michelle E. Pewarchuk
Melis Erkan
Nikita Telkar
Katya Benard
Jessica Trejo
Matt D. Stewart
Greg L. Stewart
Patricia P. Reis
Wan L. Lam
Victor D. Martinez
Source :
Cancers. 15:2275
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Lung cancer detection and monitoring are hampered by a lack of sensitive biomarkers, which results in diagnosis at late stages and difficulty in tracking response to treatment. Recent developments have established liquid biopsies as promising non-invasive methods for detecting biomarkers in lung cancer patients. With concurrent advances in high-throughput sequencing technologies and bioinformatics tools, new approaches for biomarker discovery have emerged. In this article, we survey established and emerging biomarker discovery methods using nucleic acid materials derived from bodily fluids in the context of lung cancer. We introduce nucleic acid biomarkers extracted from liquid biopsies and outline biological sources and methods of isolation. We discuss next-generation sequencing (NGS) platforms commonly used to identify novel biomarkers and describe how these have been applied to liquid biopsy. We highlight emerging biomarker discovery methods, including applications of long-read sequencing, fragmentomics, whole-genome amplification methods for single-cell analysis, and whole-genome methylation assays. Finally, we discuss advanced bioinformatics tools, describing methods for processing NGS data, as well as recently developed software tailored for liquid biopsy biomarker detection, which holds promise for early diagnosis of lung cancer.

Subjects

Subjects :
Cancer Research
Oncology

Details

ISSN :
20726694
Volume :
15
Database :
OpenAIRE
Journal :
Cancers
Accession number :
edsair.doi...........986a28fa69b2463bc75b7ac49935b807