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

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 differenti...

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Bibliographic Details
Published in:Clinical & translational oncology 2008-10, Vol.10 (10), p.604-617
Main Authors: Rodríguez-Pérez, Mario A., Medina-Aunon, Alberto, Encarnación-Guevara, Sergio M., Bernal-Silvia, Sofia, Barrera-Saldaña, Hugo, Albar-Ramírez, Juan Pablo
Format: Article
Language:English
Subjects:
Biomarkers, Tumor - analysis
Biomarkers, Tumor - metabolism
Computational Biology
Databases, Protein
Educational Series
Endometrial Neoplasms - metabolism
Female
Humans
Medicine
Medicine & Public Health
Models, Biological
Oncology
Proteomics - methods
Software
Uterine Cervical Neoplasms - diagnosis
Uterine Cervical Neoplasms - metabolism
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Summary: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.
ISSN:1699-048X
1699-3055
DOI:10.1007/s12094-008-0261-2