biostudies-literatureNiu MMedical Scientific Research Foundation of Hebei ProvinceTalent Engineering Training Funding Project of Hebei Province482https://www.ebi.ac.uk/biostudies/studies/S-EPMC9685975biostudies-literatureUnknown22(1)<h4>Background</h4>Previous studies have reported that the tumor heterogeneity and complex oncogenic mechanisms of proximal and distal colon cancer (CRC) are divergent. Therefore, we aim to analyze the differences between left-sided CRC (L_cancer) and right-sided CRC (R_cancer), as well as constructing respective nomograms.<h4>Methods</h4>We enrolled 335 colon cancer patients (146 L_cancer patients and 189 R_cancer patients) from The Cancer Genome Atlas (TCGA) data sets, and 102 pairs of color cancer tissue and adjacent normal tissue (51 L_cancer patients and 51 R_cancer patients) from our hospital. Firstly, we analyzed the differences between the L_cancer patients and R_cancer patients, and then established the L_cancer and R_cancer prognostic models using LASSO Cox.<h4>Results</h4>R_cancBMC gastroenterologyComprehensive analysis of the differences between left- and right-side colorectal cancer and respective prognostic prediction.PMC9685975LS202001H2020206374Guo YChen CLi LZhao ZNiu XLi ZJiang XNiu MGao XWang XChen SZhang CZhang BfalseComprehensive analysis of the differences between left- and right-side colorectal cancer and respective prognostic prediction.<h4>Background</h4>Previous studies have reported that the tumor heterogeneity and complex oncogenic mechanisms of proximal and distal colon cancer (CRC) are divergent. Therefore, we aim to analyze the differences between left-sided CRC (L_cancer) and right-sided CRC (R_cancer), as well as constructing respective nomograms.<h4>Methods</h4>We enrolled 335 colon cancer patients (146 L_cancer patients and 189 R_cancer patients) from The Cancer Genome Atlas (TCGA) data sets, and 102 pairs of color cancer tissue and adjacent normal tissue (51 L_cancer patients and 51 R_cancer patients) from our hospital. Firstly, we analyzed the differences between the L_cancer patients and R_cancer patients, and then established the L_cancer and R_cancer prognostic models using LASSO Cox.<h4>Results</h4>R_canc2022-01-01T00:00:00Z2022 Nov2025-04-19T14:44:20.456Z2025-04-19T14:44:20.456ZS-EPMC96859753641900710.1186/s12876-022-02585-3