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子宫颈癌和子宫癌蛋白质肿瘤生物标志物的计算机分析

In silico analysis of protein neoplastic biomarkers for cervix and uterine cancer.

作者信息

Rodríguez-Pérez Mario A, Medina-Aunon Alberto, Encarnación-Guevara Sergio M, Bernal-Silvia Sofia, Barrera-Saldaña Hugo, Albar-Ramírez Juan Pablo

机构信息

Centro de Biotecnología Genómica, Instituto Politécnico Nacional, Tamaulipas, México.

出版信息

Clin Transl Oncol. 2008 Oct;10(10):604-17. doi: 10.1007/s12094-008-0261-2.

Abstract

Worldwide, cervical and uterine cancers are the most deadly cancers in women, with high prevalences, especially in developing countries. The Human Protein Atlas (HPA) portal was explored for proteins expressed in a tissue- or cervix and uterine cancer-specific manner. The group of proteins differentially expressed and with enhanced expression in the glandular and surface epithelial (squamous) cells retrieved from HPA were further explored using the Protein Information and Knowledge Extractor (PIKE) portal to compile biological information that is found in different databases, and repositories on the Internet. Thus, the lists of candidate proteins found in HPA, and PIKE portals may be used as a starting point for the discovery and validation of biomarkers for cervix and uterine cancer employing proteomics approaches as described in the present article.

摘要

在全球范围内,宫颈癌和子宫癌是女性中最致命的癌症,发病率很高,尤其是在发展中国家。我们利用人类蛋白质图谱(HPA)门户网站探索了以组织特异性或宫颈癌和子宫癌特异性方式表达的蛋白质。从HPA中检索出在腺细胞和表面上皮(鳞状)细胞中差异表达且表达增强的蛋白质组,进一步使用蛋白质信息与知识提取器(PIKE)门户网站来汇编在互联网上不同数据库和资源库中找到的生物学信息。因此,如本文所述,在HPA和PIKE门户网站中发现的候选蛋白质列表可作为采用蛋白质组学方法发现和验证宫颈癌和子宫癌生物标志物的起点。

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