ReviewWorld journal of surgical oncology2026
New genomic and proteomic biomarker discovery in cancer: revolutionizing diagnosis and prognostication.
Review in World journal of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- 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 · 2026Review
- Review
- Hypoxia-regulated non-coding RNAs in OSCC liquid biopsy: from molecular mechanisms to AI-driven precision oncology.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer remains a major global health challenge, with substantial morbidity and mortality worldwide. Advances in genomic and proteomic biomarker discovery have transformed cancer diagnosis, prognosis, and treatment selection. The evolution from early serological markers such as carcinoembryonic antigen (CEA) and prostate-specific antigen (PSA) to modern multi-omics approaches enabled by next-generation sequencing (NGS), mass spectrometry (MS), and advanced bioinformatics has revolutionized personalized medicine and targeted therapy, leading to improved outcomes. This review highlights the historical evolution of cancer biomarkers and the current landscape of genomic, proteomic, and proteogenomic biomarkers. We emphasize the role of liquid biopsies, artificial intelligence (AI), and integrative multi-omics analytics in accelerating biomarker identification and validation. We also discuss the differential pace of clinical adoption in high-income versus low- and middle-income countries (LMICs), and outline ongoing challenges including tumor heterogeneity, standardization, cost, and regulatory barriers. Despite these limitations, recent innovations in multi-omics technologies and AI-driven analysis promise to further advance precision oncology and enable more equitable, personalized cancer care worldwide.
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Identifiers
What OpenQuestion holds
Registered trials
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.