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Springer (part of Springer Nature), Clinical and Translational Oncology, 10(10), p. 604-617

DOI: 10.1007/s12094-008-0261-2

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

This paper is available in a repository.
This paper is available in a repository.

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Data provided by SHERPA/RoMEO

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.