biostudies-literatureHases LVetenskapsrådetCancerfondenStockholms Läns Landsting1354https://www.ebi.ac.uk/biostudies/studies/S-EPMC7866425biostudies-literatureUnknown22(3)Colorectal cancer (CRC) is the third leading cause of cancer deaths. Advances within bioinformatics, such as machine learning, can improve biomarker discovery and ultimately improve CRC survival rates. There are clear sex differences in CRC characteristics, but the impact of sex has not been considered with regards to CRC biomarkers. Our aim here was to investigate sex differences in the transcriptome of a normal colon and CRC, and between paired normal and tumor tissue. Next, we attempted to identify CRC diagnostic and prognostic biomarkers and investigate if they are sex-specific. We collected paired normal and tumor tissue, performed RNA-seq, and applied feature selection in combination with machine learning to identify the top CRC diagnostic biomarkers. We used The Cancer Genome Atlas International journal of molecular sciencesThe Importance of Sex in the Discovery of Colorectal Cancer Prognostic Biomarkers.PMC7866425CAN 2018/5962017-016582017-0578Liu YIbrahim AChen XHases LHartman JWilliams CfalseThe Importance of Sex in the Discovery of Colorectal Cancer Prognostic Biomarkers.Colorectal cancer (CRC) is the third leading cause of cancer deaths. Advances within bioinformatics, such as machine learning, can improve biomarker discovery and ultimately improve CRC survival rates. There are clear sex differences in CRC characteristics, but the impact of sex has not been considered with regards to CRC biomarkers. Our aim here was to investigate sex differences in the transcriptome of a normal colon and CRC, and between paired normal and tumor tissue. Next, we attempted to identify CRC diagnostic and prognostic biomarkers and investigate if they are sex-specific. We collected paired normal and tumor tissue, performed RNA-seq, and applied feature selection in combination with machine learning to identify the top CRC diagnostic biomarkers. We used The Cancer Genome Atlas 2021-01-01T00:00:00Z2021 Jan2025-04-19T03:18:24.685Z2021-02-21T09:25:18ZS-EPMC78664253357295210.3390/ijms22031354