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Cancer biomarkers: Emerging trends and clinical implications for personalized treatment

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Mar 2024 United States English Publisher:Elsevier BVJournal:Cell, volume 187, pages 1,617-1,635 (issn: 0092-8674, Copyright policy )
Authors: Passaro, Antonio; Al Bakir, Maise; Hamilton, Emily G; Diehn, Maximilian; André, Fabrice; Roy-Chowdhuri, Sinchita; Mountzios, Giannis; +3 Authors

doi: 10.1016/j.cell.2024.02.041 , 10.25418/crick.25921240 , 10.25418/crick.25921240.v1

pmid: 38552610

pmc: PMC7616034

Cancer biomarkers: Emerging trends and clinical implications for personalized treatment

Abstract

The integration of cancer biomarkers into oncology has revolutionized cancer treatment, yielding remarkable advancements in cancer therapeutics and the prognosis of cancer patients. The development of personalized medicine represents a turning point and a new paradigm in cancer management, as biomarkers enable oncologists to tailor treatments based on the unique molecular profile of each patient's tumor. In this review, we discuss the scientific milestones of cancer biomarkers and explore future possibilities to improve the management of patients with solid tumors. This progress is primarily attributed to the biological characterization of cancers, advancements in testing methodologies, elucidation of the immune microenvironment, and the ability to profile circulating tumor fractions. Integrating these insights promises to continually advance the precision oncology field, fostering better patient outcomes.

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Keywords

Medical Sciences, Bioinformatics, 610, Medical Oncology, Article, Biomedical Informatics, Signalling & Oncogenes, Ecology,Evolution & Ethology, Neoplasms, 616, Medical Specialties, Medicine and Health Sciences, Biomarkers, Tumor, Tumor Microenvironment, Humans, Precision Medicine, Computational & Systems Biology, Chemical Biology & High Throughput, Human Biology & Physiology, Tumor, Humans; Biomarkers, Tumor; Medical Oncology/methods; Neoplasms/therapy; Neoplasms/drug therapy; Precision Medicine/methods; Tumor Microenvironment, Genome Integrity & Repair, Tumour Biology, Oncology, Genetics & Genomics, Biomarkers

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 375
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 0.01%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
375
Top 0.1%
Top 1%
Top 0.01%
Green
Related to Research communities
Knowmad Institut
Cancer Research