García-Montoya Isui Abril, López-Córdova Karla Berenice, Marrero-Rodríguez Daniel, Salcedo-Vargas Mauricio, Vargas-Requena Claudia Lucía, Escárcega-Avila Angélica Maria, Martel-Estrada Santos Adriana, Jiménez-Vega Florinda
Instituto de Ciencias Biomédicas, Universidad Autónoma de Ciudad Juárez, Av. Plutarco Elías Calles #1210 Fovissste Chamizal, Ciudad Juárez 32310, Mexico.
Unidad de Investigación Médica en Enfermedades Endocrinas, Hospital de Especialidades Centro Médico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, México City 06720, Mexico.
Cancers (Basel). 2025 May 3;17(9):1558. doi: 10.3390/cancers17091558.
BACKGROUND/AIM: Cervical adenocarcinoma associated with Human Papillomavirus (HPV) infection represents 85-90% of all adenocarcinomas that have poor prognostic factors and is an important health public concern. Currently, cervical adenocarcinoma molecular markers are scarce. This study searched databases and the literature regarding candidate genes to find these molecular markers, which were experimentally evaluated in fresh cervical samples.
Bioinformatic analysis of 161 transcriptomic libraries of cervical tissues with or without lesions from the NCBI database was performed using the Partek Genomics Suite 6.6v software. The selected genes with a value of >0.05, and 1.5-fold change were considered. A search of molecular marker candidates of cervical lesions that were already published in the literature was performed. To validate the selected genes, total RNA from fresh cervical adenocarcinoma and cervical normal tissues were subjected to RT-PCR experiments; HPV detection was also performed.
Initially, twenty-five genes were identified using bioinformatic analysis, and their expression was evaluated. The results showed that the , , , , , , , , , , , and HPV genes were found to be differentially expressed in CC. Among these, , , , , and E6/E7/HPV exhibited higher statistical significance for CC samples.
This five-gene panel could serve as a novel molecular tool for HPV-associated cervical adenocarcinoma detection.
背景/目的:与人乳头瘤病毒(HPV)感染相关的宫颈腺癌占所有腺癌的85 - 90%,具有不良预后因素,是一个重要的公共卫生问题。目前,宫颈腺癌的分子标志物稀缺。本研究检索数据库和文献以寻找候选基因,进而找到这些分子标志物,并在新鲜宫颈样本中进行实验评估。
使用Partek Genomics Suite 6.6v软件对来自NCBI数据库的161个有或无病变的宫颈组织转录组文库进行生物信息学分析。考虑选择P值>0.05且变化倍数为1.5倍的基因。检索已发表文献中宫颈病变的分子标志物候选基因。为验证所选基因,对新鲜宫颈腺癌组织和宫颈正常组织的总RNA进行逆转录聚合酶链反应(RT-PCR)实验;同时也进行HPV检测。
最初,通过生物信息学分析鉴定出25个基因,并评估了它们的表达。结果显示,发现KRT18、KRT19、KRT7、KRT8、TP63、MUC1、MUC4、CEACAM5、CEACAM6、CD44、EGFR、HER2以及HPV基因在宫颈腺癌中差异表达。其中,KRT18、KRT19、KRT7、KRT8以及E/E6/E7/HPV在宫颈腺癌样本中具有更高的统计学意义。
这个五基因组合可作为一种新型分子工具用于HPV相关宫颈腺癌的检测。