Gene signatures derived from transcriptomic-causal networks stratify colorectal cancer patients for effective targeted therapy
Abstract Background Gene signatures derived from transcriptomic-causal networks offer potential for tailoring clinical care in cancer treatment by identifying predictive and prognostic biomarkers. This study aimed to uncover such signatures in metastatic colorectal cancer (CRC) patients to aid treat...
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Main Authors: | Akram Yazdani, Heinz-Josef Lenz, Gianluigi Pillonetto, Raul Mendez-Giraldez, Azam Yazdani, Hanna Sanoff, Reza Hadi, Esmat Samiei, Alan P. Venook, Mark J. Ratain, Naim Rashid, Benjamin G. Vincent, Xueping Qu, Yujia Wen, Michael Kosorok, William F. Symmans, John Paul Y. C. Shen, Michael S. Lee, Scott Kopetz, Andrew B. Nixon, Monica M. Bertagnolli, Charles M. Perou, Federico Innocenti |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-01-01
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Series: | Communications Medicine |
Online Access: | https://doi.org/10.1038/s43856-024-00728-z |
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