基于GEO数据库与机器学习回归分析的p53和pRb表达水平与宫颈癌相关性分析

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中图分类号 TP181 R711.74 文献标识码 A文章编号 2096-7721（2026）01-0167-07

AbstractObjectie：Toinvetigatetecorelationbetwenexpressonlevelsofcellartumorantigenp53（p53）andretiblastma protein（pRb）withtheseverityofcervicalcancerusing GEOdatabaseandmachinelearning regresionanalysis.Methods：Global epidemiologicaldataofcervicalcncerfrothegneexpressonomibus（GEO）wereanalyedtosessthasocaioof3adRBl geneswithcericalacerdiioalyOOcicalancepatintstreatdatJagsurovce（uqin）HospitalfroJaryto December2O24wereenrolled.Tumordiferentiationgrade，cancerstageandpatientagewerecollcted，hilep53andpRbexpsion levels wereobtainedfrombiochemicallaboratorytests.Results：GEOdatabaseanalysis indicatedthat hepeak incidenceageofcervical cancer ranged from 35 to 62 years，with a significant decline in 5-year survival rate，approximately 40% . Both TP53 and RB1 genes weresignifiantlyssociatdwiterialaner.ExpreionlevelsofSCC-Ag，p53，andpbvaridsignificantlycros di differentiation grades （ P <0.05）.Tumor diffrentiation grade showed a positive correlation with SCC-Ag，but negative correlations with p53and pRb.Both p53andpRbshowed negativecorelations withSCC-Ag.Concusion：Expresionlevelsofp53andpRbareclosely associated with theseverityof cervical cancer，which has certain reference value for predicting clinical prognosis.

Key word GEO Database： Machine Learning Regression： n53： nRb： Cervical Cancer： Severitv

宫颈癌被认为由高危型人乳头瘤病毒（human GLOB0CAN2018数据，宫颈癌新发病约569847例，papilloma virus，HPV）引发，影响全球女性健康，根据占所有癌症的 3.2% ，宫颈癌死亡共311365例，占所有癌症死亡的 3.3%[1-3] 。（剩余11767字）