ReviewCurrent cancer drug targets2026
Precision Medicine in Colorectal Cancer: Targeted Therapies and Biomarker Insights.
Review in Current cancer drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Immunotherapy resistance in colorectal cancer: therapeutic strategies and biomarker-guided approaches.Cancer cell international · 2026Review
- Molecular Targeting of EGFR, BRAF, and HER2 Signaling in Colorectal Cancer: Contemporary Advances with Panitumumab, Encorafenib, and Tucatinib.Journal of clinical medicine · 2026Review
- Advances in biomarkers of resistance to KRAS mutation-targeted inhibitors.Discover oncology · 2025Review
- Surgical treatment of colorectal cancer: A multidimensional review.World journal of gastrointestinal surgery · 2025Review
- Advancing Colorectal Cancer Diagnostics from Barium Enema to AI-Assisted Colonoscopy.Diagnostics (Basel, Switzerland) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The current review delves into the transformative role of precision medicine in addressing Colorectal Cancer [CRC], a pressing global health challenge. It examines closely signalling pathways, genetic and epigenetic modifications, and microsatellite instability. The primary focus is on elucidating biomarkers revolutionizing CRC diagnosis and treatment. Genetic biomarkers encompass non-coding RNA, epigenetic markers, TP53 mutations, and KRAS, NRAS, and BRAF gene alterations. Targeted therapies, including anti-EGFR, anti-VEGF, immune checkpoint inhibitors, and HER2-targeted treatments, are explored along with their mechanisms and clinical applications. Additionally, we highlight the importance of utilizing personalized treatment strategies by employing molecular profiling and genetic testing. These approaches facilitate the identification of appropriate patients for targeted therapies. Clinical trials supporting these treatments are presented, emphasizing response rates and survival outcomes. Detailed exploration of resistance mechanisms to targeted therapies and strategies to overcome resistance is also provided, paving the way for more effective regimens. Directions for future research in precision medicine, such as biomarkers, combinations, and liquid biopsy in the oncology field, are described. However, the precise application of precision medicine in CRC comes with questions such as costs, considerations of ethical factors, and the need to sensitize patients. Nonetheless, based on a meticulous analysis of several aspects, precision medicine finds itself equipped with the ability to enhance the patients' prognosis ,thereby, lessening the global oncologic burden of CRC and provide important information to the clinician-scientist and policymaker that might benefit from the ongoing development of precision medicine.
Indexed as
Identifiers
39878113What 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.