Evidence map›Paper›PMID 37190212›Full record

ReviewCancers2023

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

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 and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.5field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Liquid biopsy in modern medicine: advancing diagnostics from molecular insights to clinical practice.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 2 countries.

Liam J BrockleyBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Vanessa G P SouzaBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.ORCID 0000-0002-1561-1651
Aisling ForderBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Michelle E PewarchukBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Melis ErkanDepartment of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada.
Nikita TelkarBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.ORCID 0000-0002-3520-2353
Katya BenardBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Jessica TrejoBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.ORCID 0000-0003-1308-4410
Matt D StewartBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Greg L StewartBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Patricia P ReisMolecular Oncology Laboratory, Experimental Research Unit, School of Medicine, São Paulo State University (UNESP), Botucatu 18618-687, SP, Brazil.ORCID 0000-0003-3775-3797
Wan L LamBritish Columbia Cancer Research Institute, Vancouver, BC V5Z 1L3, Canada.
Victor D MartinezDepartment of Pathology and Laboratory Medicine, IWK Health Centre, Halifax, NS B3K 6R8, Canada.
Dalhousie University · CAUniversidade Estadual Paulista (Unesp) · BRBC Children's Hospital · CA

Funding

CIHR FRN-143345CIHR FRN-183775
6 · The paper itself

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.

Indexed as

bioinformaticsCTCsctDNAhigh throughputliquid biopsylung cancerNGS

Identifiers

PMID37190212
PMCPMC10136462
OpenAlexW4365515486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.