Cancer Biomarkers: From Early Detection to Prognosis
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Oncology".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 3
Special Issue Editor
Interests: oncology; biomedical science; cancer research; biomarker discovery and validation; RNA-based biomarkers; multi-omics; liquid biopsies; CTC identification; gastrointestinal cancer; fecal biomarkers; precision oncology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to showcase cutting-edge research on cancer biomarkers spanning the entire disease continuum—from initial detection to long-term prognostic assessment. Despite advances in oncology, challenges remain in identifying non-invasive, sensitive, and specific molecular signatures that can reliably predict disease onset, monitor therapeutic response, and forecast patient outcomes.
We invite original research and review articles exploring novel genomic, proteomic, epigenomic, and metabolomic biomarkers, as well as liquid biopsy approaches (e.g., circulating tumor DNA, exosomes). Emphasis will be placed on translational studies that bridge laboratory discoveries with clinical applications, including multiplex biomarker panels, artificial intelligence-driven predictive models, and minimally invasive detection technologies.
Key topics include: early screening in high-risk populations, minimal residual disease monitoring, treatment resistance prediction, and prognostic scoring systems. By integrating multi-omics and real-world clinical data, this collection seeks to advance personalized oncology, improve risk stratification, and ultimately enhance patient survival and quality of life. Studies that validate existing biomarkers or introduce high-throughput discovery platforms are equally encouraged.
Dr. Luís Lima
Guest Editor
Manuscript Submission Information
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Keywords
- cancer biomarkers
- early detection
- prognosis
- liquid biopsy
- personalized oncology
- multi-omics
- translational research
- predictive modeling
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