ClinicalTrials.gov
public full text
Public Domain
Identification of Predictive Biomarker of Regorafenib in Refractory Colorectal Cancer
Regorafenib is a valuable treatment option for metastatic colorectal cancer patients who have progressed after prior standard treatments. Prior progression-free survival data suggest that there could be a distinct subgroup of patients that may benefit from regorafenib. The aim of this study is to identify predictive biomarker of regorafenib in terms of its efficacy.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Identification and Validation of Prognostic Biomarker Signatures Associated with Overall Survival in Colorectal Cancer: Evidence from Bioinformatics Analysis and an in vivo Study.#385213
- ICE Study: Combination of Irinotecan Plus Cetuximab and Envafolimab as a Rechallenge Regimen in mCRC#857750
- Refametinib(BAY86-9766) in RAS Mutant Hepatocellular Carcinoma (HCC)#883544
- High INHBB expression in colorectal cancer is associated with poor prognosis and drives malignant phenotypes in tumor cells.#165618
- Predictive Value of Innovative Prognostic Markers (Gut Microbiota, Sarcopenia, Metabolic Syndrome and Obesity) on Surgical and Oncologic Results in the Management of Sporadic Colorectal Adenocarcinoma.#1153727
Record · ID 1137728
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive