IJMMS_2024v14n5

International Journal of Molecular Medical Science, 2024, Vol.14, No.5, 274-292 http://medscipublisher.com/index.php/ijmms 287 Chu G., Ji X., Wang Y., and Niu H., 2023, Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer, Molecular Therapy-Nucleic Acids, 33: 110-126. https://doi.org/10.1016/j.omtn.2023.06.001 Consortium G., 2020, The GTEx Consortium atlas of genetic regulatory effects across human tissues, Science, 369(6509): 1318-1330. https://doi.org/10.1126/science.aaz1776 Consortium E.P., 2012, An integrated encyclopedia of DNA elements in the human genome, Nature, 489(7414): 57-74. https://doi.org/10.1038/nature11247 Coppede F., 2014, Epigenetic biomarkers of colorectal cancer: focus on DNA methylation, Cancer Lett., 342(2): 238-247. https://doi.org/10.1016/j.canlet.2011.12.030 Dieckmann K., Radtke A., Geczi L., Matthies C., Anheuser P., Eckardt U., Sommer J., Zengerling F., Trenti E., Pichler R., Belz H., Zastrow S., Winter A., Melchior S., Hammel J., Kranz J., Bolten M., Krege S., Haben B., Loidl W., Ruf C., Heinzelbecker J., Heidenreich A., Cremers J., Oing C., Hermanns T., Fankhauser C., Gillessen S., Reichegger H., Cathomas R., Pichler M., Hentrich M., Eredics K., Lorch A., Wulfing C., Peine S., Wosniok W., Bokemeyer C., and Belge G., 2019, Serum levels of microRNA-371a-3p (M371 Test) as a new biomarker of testicular germ cell tumors: results of a prospective multicentric study, Journal of Clinical Oncology, 37(16): 1412-1423. https://doi.org/10.1200/JCO.18.01480 Dawson H., Kirsch R., Messenger D., and Driman D., 2019, A review of current challenges in colorectal cancer reporting, Archives of pathology & laboratory medicine, 143(7): 869-882. https://doi.org/10.5858/arpa.2017-0475-RA de Hijas-Liste G.M., Klipp E., Balsa-Canto E., and Banga J.R., 2014, Global dynamic optimization approach to predict activation in metabolic pathways, BMC Systems Biology, 8: 1. https://doi.org/10.1186/1752-0509-8-1 Deng X., Li S., Kong F., Ruan H., Xu X., Zhang X., Wu Z., Zhang L., Xu Y., Yuan H., Peng H., Yang D., and Guan M., 2020, Long noncoding RNA PiHL regulates p53 protein stability through GRWD1/RPL11/MDM2 axis in colorectal cancer, Theranostics, 10(1): 265-280. https://doi.org/10.7150/thno.36045 Eisfeldt J., Mårtensson G., Ameur A., Nilsson D., and Lindstrand A., 2019, Discovery of novel sequences in 1 000 swedish genomes, Molecular Biology and Evolution, 37(1): 18-30. https://doi.org/10.1093/molbev/msz176 Elsayed I., Elsayed N., Feng Q., Sheahan K., Moran B., and Wang X., 2022, Multi-OMICs data analysis identifies molecular features correlating with tumor immunity in colon cancer, Cancer Biomarkers: Section A of Disease Markers, 33(2): 261-271. https://doi.org/10.3233/CBM-210222 Figueroa J.D., and Brinton L.A., 2012, Unraveling genes, hormones, and breast cancer, J. Natl. Cancer Inst., 104(9): 641-642. https://doi.org/10.1093/jnci/djs193 Gajendran M., Loganathan P., Jimenez G., Catinella A.P., Ng N., Umapathy C., Ziade N., and Hashash J.G., 2019, A comprehensive review and update on ulcerative colitis, Disease-a-month, 65(12): 100851. https://doi.org/10.1016/j.disamonth.2019.02.004 Garraway L.A., and Lander E.S., 2013, Lessons from the cancer genome, Cell, 153(1): 17-37. https://doi.org/10.1016/j.cell.2013.03.002 Gevaert O., 2015, MethylMix: an R package for identifying DNA methylation-driven genes, Bioinformatics, 31(11): 1839-1841. https://doi.org/10.1093/bioinformatics/btv020 Ge W., Cai W., Bai R., Hu W., Wu D., Zheng S., and Hu H., 2019, A novel 4-gene prognostic signature for hypermutated colorectal cancer, Cancer Management and Research, 11: 1985-1996. https://doi.org/10.2147/CMAR.S190963 Grimm I.S., and McGill S.K., 2019, Look, but don't touch: what not to do in managing large colorectal polyps, Gastrointest Endosc., 89(3): 479-481. https://doi.org/10.1016/j.gie.2018.10.008 Guo H., Zeng W., Feng L., Yu X., Li P., Zhang K., Zhou Z., and Cheng S., 2017, Integrated transcriptomic analysis of distance-related field cancerization in rectal cancer patients, Oncotarget, 8(37): 61107-61117. https://doi.org/10.18632/oncotarget.17864 Gurdasani D., Carstensen T., Tekola-Ayele F., Pagani L., Tachmazidou I., Hatzikotoulas K., Karthikeyan S., Iles L., Pollard M., Choudhury A., Ritchie G., Xue Y., Asimit J., Nsubuga R., Young E., Pomilla C., Kivinen K., Rockett K., Kamali A., Doumatey A., Asiki G., Seeley J., Sisay-Joof F., Jallow M., Tollman S., Mekonnen E., Ekong R., Oljira T., Bradman N., Bojang K., Ramsay M., Adeyemo A., Bekele E., Motala A., Norris S., Pirie F., Kaleebu P., Kwiatkowski D., Tyler-Smith C., Rotimi C., Zeggini E., and Sandhu M., 2015, The african genome variation project shapes medical genetics in Africa, Nature, 517(7534): 327-332. https://doi.org/10.1038/nature13997 Hasin Y., Seldin M., and Lusis A., 2017, Multi-omics approaches to disease, Genome Biol., 18(1): 83. https://doi.org/10.1186/s13059-017-1215-1 Hardcastle J., Chamberlain J., Robinson M., Moss S., Amar S., Balfour T., James P., and Mangham C., 1996, Randomised controlled trial of faecal-occult-blood screening for colorectal cancer, Lancet, 348(9040): 1472-1477. https://doi.org/10.1016/S0140-6736(96)03386-7

RkJQdWJsaXNoZXIy MjQ4ODYzNQ==