Real-World Survival Outcomes Following Metastasectomy in RAS Wild-Type mCRC: Insights from a Multicentre National Cohort Study
İlker Nihat Ökten, Tuba Baydaş, Mahmut Emre Yıldırım, Cemil Bilir, Şuayib Yalçın, Erdem Çubukçu, Eda Tanrıkulu Şimşek, Çağatay Aslan, Faysal Dane, Sinemis Çelik, Ahmet Bilici, Mehmet Ali Nahit Şendur, Bala Başak Öven, Abdurrahman Işıkdoğan, Hacı Mehmet Türk, Mustafa Karaca

TL;DR
This study finds that surgery to remove metastases improves survival in a specific type of colorectal cancer, with CA19-9 levels being a key predictor of outcomes.
Contribution
The study provides real-world evidence that metastasectomy improves survival in RAS wild-type metastatic colorectal cancer patients.
Findings
Metastasectomy was associated with significantly longer overall and progression-free survival in RAS-WT mCRC patients.
Baseline CA19-9 levels were a strong prognostic marker for survival in surgically treated patients.
Traditional clinicopathologic variables showed limited value in predicting survival outcomes.
Abstract
Background: Metastasectomy is a cornerstone of multimodal management in metastatic colorectal cancer (mCRC), yet contemporary real-world data focusing specifically on RAS wild-type (RAS-WT) disease remain limited. We aimed to evaluate survival outcomes and prognostic factors associated with metastasectomy in patients with RAS-WT mCRC using a large national multicentre registry. Methods: This retrospective cohort study utilized data from the ONKO-KOLON Türkiye registry. A total of 1079 patients with pathologically confirmed KRAS/NRAS wild-type mCRC were identified and categorized according to receipt of metastasectomy. Overall survival (OS) and progression-free survival (PFS) were estimated using the Kaplan–Meier method and compared with log-rank tests across multiple clinically relevant time origins, including metastatic diagnosis, initial colorectal cancer diagnosis, and time of…
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Taxonomy
TopicsColorectal Cancer Treatments and Studies · Colorectal Cancer Surgical Treatments · Cancer Genomics and Diagnostics
