Evidence map›Paper›PMID 41301080›Full record

ReviewCancers2025

Bridging Discovery and Treatment: Cancer Biomarker.

Hengrui Liu, Ilayda Karsidag, Rebecca Golin, Guangzhen Wu

Abstract readReview
In one paragraph

Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. High uPAR and Low miR-221 Expression Predict Poor Disease-Free Survival in Triple-Negative Breast Cancer.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Article
  13. Review
  14. Article
  15. Review
  16. Targeting tumor transition windows.Exploration of targeted anti-tumor therapy · 2026
    Review
  17. Article
  18. Review
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

4 authors.

Hengrui LiuDepartment of Biochemistry, University of Cambridge, Cambridge CB2 1QW, UK.ORCID 0000-0002-5369-3926
Ilayda KarsidagSchool of Biological Sciences, University of California San Diego, San Diego, CA 92093, USA.
Rebecca GolinLeon M Goldstein School, New York, NY 11235, USA.
Guangzhen WuDepartment of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.ORCID 0009-0001-9007-151X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

cancer biomarkersmulti-omics technologiespersonalized medicineprecision oncologytranslational researchtumor heterogeneity

Identifiers

PMID41301080
PMCPMC12651302

What Socratic 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 Socratic graph.