Bridging Discovery and Treatment: Cancer Biomarker

Biomarkers have transformed cancer care by linking molecular insights to personalized treatment strategies. This review first surveys the spectrum of detection modalities, including tissue genomics and histopathology; liquid biopsies such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and extracellular vesicles; imaging and radiomics; and multi-omic approaches spanning epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics. We then critically appraise the translational challenges that hinder clinical implementation, assay standardization, data integration, analytical and clinical validation, regulatory pathways, and cost-effectiveness. Finally, we explore emerging solutions, including artificial intelligence (AI)-driven multi-modal phenotyping, adaptive trial designs, and point-of-care assays, and outline future directions for expanding access and equitable adoption. By emphasizing the central role of biomarkers in guiding targeted and immune-based therapies, we underscore their potential to overcome tumor heterogeneity, preempt resistance, and ultimately improve patient outcomes.

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Institutions

Publication Details

Journal
Cancers
Published
2025-11-20
DOI
https://doi.org/10.3390/cancers17223720
Citations
2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
1.87
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article

Bridging Discovery and Treatment: Cancer Biomarker

Hengrui Liu, Guangzhen Wu, Rebecca Golin, Ilayda Karsidag
2 citations
Cancers
Cancer Genomics and Diagnostics
1.87
article

Bridging Discovery and Treatment: Cancer Biomarker

Hengrui Liu, Guangzhen Wu, Rebecca Golin, Ilayda Karsidag
article en
2 citations

Abstract

Biomarkers have transformed cancer care by linking molecular insights to personalized treatment strategies. This review first surveys the spectrum of detection modalities, including tissue genomics and histopathology; liquid biopsies such as circulating tumor DNA (ctDNA), circulating tumor cells (CTCs), and extracellular vesicles; imaging and radiomics; and multi-omic approaches spanning epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics. We then critically appraise the translational challenges that hinder clinical implementation, assay standardization, data integration, analytical and clinical validation, regulatory pathways, and cost-effectiveness. Finally, we explore emerging solutions, including artificial intelligence (AI)-driven multi-modal phenotyping, adaptive trial designs, and point-of-care assays, and outline future directions for expanding access and equitable adoption. By emphasizing the central role of biomarkers in guiding targeted and immune-based therapies, we underscore their potential to overcome tumor heterogeneity, preempt resistance, and ultimately improve patient outcomes.

CancersVol. 17(22)
University of San Diego (US), Dalian Medical University (CN), University of Cambridge (GB), University of California San Diego (US), Universidad Nacional Autónoma de Nicaragua-León (NI), First Affiliated Hospital of Dalian Medical University (CN)
Openalex Percentile: Top 12%
Cancer Genomics and Diagnostics
1.87
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Bridging Discovery and Treatment: Cancer Biomarker — Hengrui Liu, Guangzhen Wu, et al. · Cancers (2025) | TGRS Research Map | TGRS