Cited by 662Cancer Genomics and DiagnosticsGene expression and cancer classificationCancer-related Molecular Pathways

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Emerging molecular markers of cancer

Sidransky, David·2002·Nature Reviews Cancer

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Abstract

Alterations in gene sequences, expression levels and protein structure or function have been associated with every type of cancer. These 'molecular markers' can be useful in detecting cancer, determining prognosis and monitoring disease progression or therapeutic response. But what is the best way to identify molecular markers and can they be easily incorporated into the clinical setting?

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Crossref · 10.1038/nrc755

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Authors: Sidransky, D.
Affiliations: Johns Hopkins University (US)
Corresponding author: Sidransky, David
ORCID: Sidransky, David
Venue: Nature Reviews Cancer
Publisher: Springer Science and Business Media LLC
Published: 2002-03
Volume: 2
Issue: 3
Pages: 210-219
ISSN: 1474-175X (ISSN-L)
1474-1768
DOI: 10.1038/nrc755
OpenAlex: W2010444010
Cited by: 662
References: 100
Citations by year: 2026: 3 · 2025: 6 · 2024: 14 · 2023: 15 · 2022: 14 · 2021: 17 · 2020: 18 · 2019: 13 · 2018: 16 · 2017: 18 · 2016: 30 · 2015: 34 · 2014: 33 · 2013: 33 · 2012: 35
FWCI: 3.08
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Nature reviews. Cancer (publishedVersion)
PubMed (publishedVersion)
Funders: National Institutes of Health
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
Keywords: molecular markers, tumor markers, cancer detection, prognosis, disease progression monitoring, treatment response monitoring, gene expression changes, protein structure-function relationship, clinical implementation
MeSH terms: DNA, Genetic Markers, Humans, Mutation, Neoplasms, Sensitivity and Specificity, Oligonucleotide Array Sequence Analysis

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