Translation of Gene Expression Data Into Personalized Treatment in Cervical Cancer: Machine Learning Approach

Stanca M, Căpîlna ME. Prognostic factors associated with 5-year overall survival in cervical cancer patients treated with radical hysterectomy followed by adjuvant concurrent chemoradiation therapy at a tertiary care center in Eastern Europe. Diagnostics. 2021;11(3):570.

Article  PubMed  PubMed Central  Google Scholar 

Dizon DS, Mackay HJ, Thomas GM, Werner TL, Kohn EC, Hess D, Rose PG, Covens AL. State of the science in cervical cancer: where we are today and where we need to go. Cancer. 2014;120(15):2282–8. https://doi.org/10.1002/cncr.28722.

Article  PubMed  Google Scholar 

Warnat P, Eils R, Brors B. Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes. BMC Bioinformatics. 2005;6:1–5.

Article  Google Scholar 

Brazma A, Hingamp P, Quackenbush J, Sherlock G, Spellman P, Stoeckert C, Aach J, Ansorge W, Ball CA, Causton HC, Gaasterland T. Minimum information about a microarray experiment (MIAME)—toward standards for microarray data. Nat Genet. 2001;29(4):365–71.

Article  CAS  PubMed  Google Scholar 

Brazma A, Vilo J. Gene expression data analysis. FEBS Lett. 2000;480(1):17–24.

Article  CAS  PubMed  Google Scholar 

Yang YH, Dudoit S, Luu P, Speed TP, Bittner ML, Chen Y, Dorsel AN, Dougherty ER. Microarrays: optical technologies and informatics. InSPIE, Bellingham, WA. 2001

Li J, Li YX, Li YY. Differential regulatory analysis based on coexpression network in cancer research. Biomed Res Int [Epub ahead of print]. 2016. https://doi.org/10.1155/2016/4241293.

Article  PubMed  PubMed Central  Google Scholar 

Liu Y. Active learning with support vector machine applied to gene expression data for cancer classification. J Chem Inf Comput Sci. 2004;44(6):1936–41. https://doi.org/10.1021/ci049810a. (PMID: 15554662).

Article  CAS  PubMed  Google Scholar 

Njoroge E, Alty SR, Gani MR, Alkatib M. Classification of cervical cancer cells using FTIR data. Conf Proc IEEE Eng Med Biol Soc. 2006;2006:5338–41. https://doi.org/10.1109/IEMBS.2006.260024. (PMID: 17945893).

Article  PubMed  Google Scholar 

Cai S, Yu X, Gu Z, Yang Q, Wen B, Sheng J, Guan R. A 10-gene prognostic methylation signature for stage I-III cervical cancer. Arch Gynecol Obstet. 2020;301(5):1275–87. https://doi.org/10.1007/s00404-020-05524-3. (Epub 2020 Apr 9 PMID: 32274635).

Article  CAS  PubMed  Google Scholar 

Alles MC, Gardiner-Garden M, Nott DJ, Wang Y, Foekens JA, Sutherland RL, Musgrove EA, Ormandy CJ. Meta-analysis and gene set enrichment relative to er status reveal elevated activity of MYC and E2F in the “basal” breast cancer subgroup. PLoS ONE. 2009;4(3): e4710.

Article  PubMed  PubMed Central  Google Scholar 

Chow YP, Alias H, Jamal R. Meta-analysis of gene expression in relapsed childhood B-acute lymphoblastic leukemia. BMC Cancer. 2017;17:1.

Article  Google Scholar 

Dong H, Hong S, Xu X, Xiao Y, Jin L, Xiong M. Meta-analysis and network analysis of five ovarian cancer gene expression dataset. In 2010 Third International Joint Conference on Computational Science and Optimization (Vol. 1, pp. 242–246). IEEE. 2010

Manawapat-Klopfer A, Thomsen LT, Martus P, Munk C, Russ R, Gmuender H, Frederiksen K, Haedicke-Jarboui J, Stubenrauch F, Kjaer SK, Iftner T. TMEM45A, SERPINB5 and p16INK4A transcript levels are predictive for development of high-grade cervical lesions. Am J Cancer Res. 2016;6(7):1524.

CAS  PubMed  PubMed Central  Google Scholar 

Espinosa AM, Alfaro A, Roman-Basaure E, Guardado-Estrada M, Palma Í, Serralde C, Medina I, Juárez E, Bermúdez M, Márquez E, Borges-Ibáñez M. Mitosis is a source of potential markers for screening and survival and therapeutic targets in cervical cancer. PLoS ONE. 2013;8(2): e55975.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, Marshall KA, Phillippy KH, Sherman PM, Holko M, Yefanov A. NCBI GEO: archive for functional genomics data sets—update. Nucleic Acids Res. 2012;41(D1):D991–5.

Article  PubMed  PubMed Central  Google Scholar 

Chandrashekar G, Sahin F. A survey on feature selection methods. Comput Electr Eng. 2014;40(1):16–28.

Article  Google Scholar 

留言 (0)

沒有登入
gif