Ma S, Zhu X, Xin C, Cao F, Xu M, Han X, et al. RCN3 expression indicates prognosis in colorectal cancers. Oncologie. 2022;24(4):823–33.
Fatemi M, Feng E, Sharma C, Azher Z, Goel T, Ramwala O, et al. Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: a pilot study. J Pathol Inf. 2023;14: 100308.
He X, Ma J, Zhang M, Cui J, Yang H. Long Non-Coding RNA SNHG16 Activates USP22 Expression to Promote Colorectal Cancer Progression by Sponging miR-132-3p. Onco Targets Ther. 2020;13:4283–94.
Article PubMed PubMed Central Google Scholar
Zhao K, Li H, Zhang B, Pang W, Yan S, Zhao X, et al. Factors influencing advanced colorectal neoplasm anatomic site distribution in China: An epidemiological study based on colorectal cancer screening data. Cancer Med. 2023;12(24):22252–62.
Article PubMed PubMed Central Google Scholar
Fan J, Wang L, Zhang C, Wu X, Han L, Zhang X, et al. PDIA3 driven STAT3/PD-1 signaling promotes M2 TAM polarization and aggravates colorectal cancer progression. Aging. 2024;16(10):8880–97.
Article PubMed PubMed Central Google Scholar
Kim SH, Park DH, Lim YJ. Impact of diet on colorectal cancer progression and prevention: from nutrients to neoplasms. Korean J Gastroenterol. 2023;82(2):73–83.
John Kenneth M, Tsai HC, Fang CY, Hussain B, Chiu YC, Hsu BM. Diet-mediated gut microbial community modulation and signature metabolites as potential biomarkers for early diagnosis, prognosis, prevention and stage-specific treatment of colorectal cancer. J Adv Res. 2023;52:45–57.
Drosdowsky A, Lamb KE, Bergin RJ, Boyd L, Milley K, Mj IJ, et al. A systematic review of methodological considerations in time to diagnosis and treatment in colorectal cancer research. Cancer Epidemiol. 2023;83:102323.
Chen S, Gu J, Wu K, Zhao X, Lu Y. Progress in clinical diagnosis and treatment of colorectal cancer with rare genetic variants. Cancer Biol Med. 2024;21(6):473–83.
Article PubMed PubMed Central Google Scholar
Alipourgivi F, Motolani A, Qiu AY, Qiang W, Yang GY, Chen S, et al. Genetic alterations of NF-κB and its regulators: a rich platform to advance colorectal cancer diagnosis and treatment. Int J Mol Sci. 2023;25(1):154.
Article PubMed PubMed Central Google Scholar
Wu Y, Cao H, Yang S, Liu C, Han Z. Progress of near-infrared-II fluorescence in precision diagnosis and treatment of colorectal cancer. Heliyon. 2023;9(12): e23209.
Article PubMed PubMed Central Google Scholar
Ganesh K, Stadler ZK, Cercek A, Mendelsohn RB, Shia J, Segal NH, et al. Immunotherapy in colorectal cancer: rationale, challenges and potential. Nat Rev Gastroenterol Hepatol. 2019;16(6):361–75.
Article PubMed PubMed Central Google Scholar
Zhou H, Wang Y, Zhang Z, Xiong L, Liu Z, Wen Y. A novel prognostic gene set for colon adenocarcinoma relative to the tumor microenvironment, chemotherapy, and immune therapy. Front Genet. 2023. https://doi.org/10.3389/fgene.2022.975404.
Article PubMed PubMed Central Google Scholar
Romero-Garmendia I, Garcia-Etxebarria K. From omic layers to personalized medicine in colorectal cancer: the road ahead. Genes. 2023;14(7):1430.
Article PubMed PubMed Central Google Scholar
Xue YZ, Wu TL, Dai YY, Sheng YY, Wu YM, Xia BL, et al. NEDD9 expression is correlated with epithelial-to-mesenchymal transition markers in colorectal cancer. Int J Clin Exp Pathol. 2017;10(8):8640–6.
PubMed PubMed Central Google Scholar
Wang Y, Wu N, Sun D, Sun H, Tong D, Liu D, et al. NUBPL, a novel metastasis-related gene, promotes colorectal carcinoma cell motility by inducing epithelial-mesenchymal transition. Cancer Sci. 2017;108(6):1169–76.
Article PubMed PubMed Central Google Scholar
Cervantes A, Adam R, Roselló S, Arnold D, Normanno N, Taïeb J, et al. Metastatic colorectal cancer: ESMO clinical practice guideline for diagnosis, treatment and follow-up. Ann Oncol. 2023;34(1):10–32.
Cos H, Shen P. Comparison of outcomes between surgical treatment of colorectal cancer metastatic to the liver and the peritoneum: review of the literature. J Surg Oncol. 2024;129(1):85–90.
Kono H, Goi T, Matsunaka T, Koneri K. Anti-prokineticin1 suppresses liver metastatic tumors in a mouse model of colorectal cancer with liver metastasis. Curr Issues Mol Biol. 2023;46(1):44–52.
Article PubMed PubMed Central Google Scholar
West-Szymanski DC, Zhang Z, Cui XL, Kowitwanich K, Gao L, Deng Z, et al. Machine learning identifies cell-free DNA 5-hydroxymethylation biomarkers that detect occult colorectal cancer in PLCO Screening Trial subjects. bioRxiv : the preprint server for biology. 2024.
Jia S, Zhai L, Wu F, Lv W, Min X, Zhang S, et al. Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancer. Oncologie. 2024;26(2):269–85.
Wang X, Wang H, Yu S, Wang X. Diagnosis model of paraquat poisoning based on machine learning. Curr Pharm Anal. 2022;18(2):176–81.
Zhi J, Sun J, Wang Z, Ding W. Support vector machine classifier for prediction of the metastasis of colorectal cancer. Int J Mol Med. 2018;41(3):1419–26.
PubMed PubMed Central Google Scholar
Huang M-W, Chen C-W, Lin W-C, Ke S-W, Tsai C-F. SVM and SVM ensembles in breast cancer prediction. PLoS ONE. 2017;12(1): e0161501.
Article PubMed PubMed Central Google Scholar
Wang S, Wang Y, Wang D, Yin Y, Wang Y, Jin Y. An improved random forest-based rule extraction method for breast cancer diagnosis. Appl Soft Comput. 2020;86: 105941.
Ranjan M, Shukla A, Soni K, Varma S, Kuliha M, Singh U. Cancer Prediction Using Random Forest and Deep Learning Techniques. 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT); 2022 23–24 April 2022.
Algamal ZY, Lee MH. Penalized logistic regression with the adaptive LASSO for gene selection in high-dimensional cancer classification. Expert Syst Appl. 2015;42(23):9326–32.
Kang J, Choi YJ, Kim I-k, Lee HS, Kim H, Baik SH, et al. LASSO-based machine learning algorithm for prediction of lymph node metastasis in T1 colorectal cancer. Cancer Res Treatment. 2020;53(3):773–83.
Gu L, Liu Y, Jiang C, Sun L, Zhou H. Identification and clinical validation of metastasis-associated biomarkers based on large-scale samples in colon-adenocarcinoma. Pharmacol Res. 2020;160: 105087.
Zhang T, Yuan K, Wang Y, Xu M, Cai S, Chen C, et al. Identification of candidate biomarkers and prognostic analysis in colorectal cancer liver metastases. Front Oncol. 2021. https://doi.org/10.3389/fonc.2021.652354.
Article PubMed PubMed Central Google Scholar
Zhu Y, Zhou Y, Jiang H, Chen Z, Lu B. Analysis of core genes for colorectal cancer prognosis based on immune and stromal scores. PeerJ. 2021;9: e12452.
Article PubMed PubMed Central Google Scholar
Chuang L, Qifeng J, Shaolei Y. The tumor immune microenvironment and T-cell-related immunotherapies in colorectal cancer. Discover oncology. 2024;15(1):244.
Li YR, Meng K, Yang G, Liu BH, Li CQ, Zhang JY, et al. Diagnostic genes and immune infiltration analysis of colorectal cancer determined by LASSO and SVM machine learning methods: a bioinformatics analysis. J Gastrointestinal Oncol. 2022;13(3):1188–203.
Ya G, Ren W, Qin R, He J, Zhao S. Role of myeloid-derived suppressor cells in the formation of pre-metastatic niche. Front Oncol. 2022. https://doi.org/10.3389/fonc.2022.975261.
Article PubMed PubMed Central Google Scholar
Wang Y, Zhong X, He X, Hu Z, Huang H, Chen J, et al. Liver metastasis from colorectal cancer: pathogenetic development, immune landscape of the tumour microenvironment and therapeutic approaches. J Exp Clin Cancer Res. 2023;42(1):177.
Article PubMed PubMed Central Google Scholar
Zeng X, Ward SE, Zhou J, Cheng ASL. Liver immune microenvironment and metastasis from colorectal cancer-pathogenesis and therapeutic perspectives. Cancers. 2021;13(10):2418
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