Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients

Transcriptomes of the tumor-adjacent normal tissues are more informative than tumors in predicting recurrence in colorectal cancer patients

Abstract Background Previous investigations of transcriptomic signatures of cancer patient survival and post-therapy relapse have focused on tumor tissue. In contrast, here we show that in colorectal cancer (CRC) transcriptomes derived from normal tissues adjacent to tumors (NATs) are better predict...

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Bibliographic Details
Main Authors: Jinho Kim, Hyunjung Kim, Min-Seok Lee, Heetak Lee, Yeon Jeong Kim, Woo Yong Lee, Seong Hyeon Yun, Hee Cheol Kim, Hye Kyung Hong, Sridhar Hannenhalli, Yong Beom Cho, Donghyun Park, Sun Shim Choi
Format: Article
Language:English
Published: BMC 2023-03-01
Series:Journal of Translational Medicine
Subjects:
Colorectal cancer
Normal tissues adjacent to tumors
Recurrence
Elastic net-based machine learning
Tumor-infiltrating immune cells
Online Access:https://doi.org/10.1186/s12967-023-04053-2

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