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January 14, 2026Journal of Personalized Medicine6 citationsOpen Access

Comprehensive Landscape of Diagnostic, Prognostic and Predictive Biomarkers in Colorectal Cancer: From Genomics to Multi-Omics Integration in Precision Medicine

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AAAlfonso Agüera-SánchezEPEmilio Peña-RosIMIrene Martínez‐Martínez

Key Points

  • To provide an overview of biomarkers that aid in diagnosing and predicting outcomes in colorectal cancer.
  • Narrative review of existing literature
  • Comparison of established and novel biomarkers
  • Discussion on clinical implementation challenges
  • Identified key biomarkers include RAS and BRAF mutations, MSI, and TP53 mutations.
  • Potential for non-coding RNAs and gut microbiome to enhance diagnosis and prognosis.
  • Challenges in validation and standardization of biomarkers in clinical settings.

Abstract

Colorectal cancer (CRC) remains one of the leading causes of cancer-related morbidity and mortality worldwide. Despite advances in screening and therapeutic strategies, early detection and individualized treatment remain major challenges. In recent years, an expanding repertoire of biomarkers has emerged, spanning genomic, transcriptomic, proteomic, and metabolomic signatures. Epigenetic features, such as DNA methylation panels, as well as non-coding RNAs and the gut microbiome, hold potential not only for improving early diagnosis but also for refining prognosis and predicting therapeutic responses within the framework of precision oncology. This narrative review provides an updated, integrative overview of CRC diagnostic, prognostic, and predictive biomarkers. We distinguish established markers already in clinical practice, such as RAS and BRAF mutations, HER2 amplification, microsatellite instability/mismatch repair deficiency (MSI/dMMR), and widely investigated molecular alterations including TP53 mutations and immune-checkpoint-related markers, from novel biomarkers with growing translational potential. We also discuss the implementation challenges of these biomarkers in clinical practice, including issues related to validation, standardization, and cost-effectiveness, as well as the multi-modal approach for the development of composite diagnostic panels.

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Cite This Study

Agüera-Sánchez et al. (2026) studied this question.

synapsesocial.com/papers/6966f30613bf7a6f02c0083bhttps://doi.org/10.3390/jpm16010048
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