Unraveling the Genetic Landscape of Colorectal Cancer: The Latest Breakthroughs and Insights
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: 20 October 2026 | Viewed by 411
Special Issue Editor
Special Issue Information
Dear Colleagues,
In recent years, our understanding of the genetic landscape of colorectal cancer (CRC) has advanced significantly, leading to meaningful clinical applications. From early efforts with EGFR inhibitors to recent trials with KRASG12C inhibitors, genomic profiling has become a key driver of therapeutic decisions.
A major breakthrough has been the identification of microsatellite instability (MSI) as a predictive biomarker of response to immunotherapy, which has transformed the treatment of high-MSI CRC patients. Similarly, the recognition of KRASG12C mutations and HER2 amplifications as actionable targets has expanded treatment options for specific subgroups. Recent data from studies such as BREAKWATER further support the role of precision oncology in improving outcomes for patients with aggressive disease. However, challenges remain, for example in characterizing microsatellite-stable (MSS) tumors and developing therapies against emerging targets such as PIK3CA.
This Special Issue, titled “Unraveling the Genetic Landscape of Colorectal Cancer: The Latest Breakthroughs and Insights”, invites contributions exploring recent advances in CRC genomics and their clinical implications. Topics of interest include biomarker discovery, genomic-guided therapies, ctDNA monitoring, resistance mechanisms, clonal evolution, and immunogenomic profiling. We welcome submissions of original research articles, reviews, and communications that aim to contribute to a better understanding of CRC biology and help to shape the future of precision oncology.
Dr. Nadia Saoudi Gonzalez
Guest Editor
Manuscript Submission Information
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Keywords
- personalized medicine
- target therapy
- metastatic colorectal cancer
- precision oncology
- biomarker discovery
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