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In this contextual scheme, a systemic description that enables the identification of the common events between cell lines of different origins, is required to distinguish the essence of carcinogenesis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>With this study, we sought to achieve a systemic perspective of the common proteomic profile of six cervical cancer cell lines, both positive and negative for HPV, and which differ from the profile corresponding to the non-tumourgenic cell line, HaCaT. Our objectives were to identify common cellular events participating in cancer maintenance, as well as the establishment of a pipeline to work with proteomic-derived results. We analyzed by means of 2D SDS-PAGE and MALDI-TOF mass spectrometry the protein extracts of six cervical cancer cell lines, from which we identified a consensus of 66 proteins. We call this group of proteins, the \"central core of cervical cancer\". Starting from this core set of proteins, we acquired a PPI network that pointed, through topological analysis, to some proteins that may well be playing a central role in the neoplastic process, such as 14-3-3\u03b6.<jats:italic>In silico<\/jats:italic>overrepresentation analysis of transcription factors pointed to the overexpression of c-Myc, Max and E2F1 as key transcription factors involved in orchestrating the neoplastic phenotype.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>Our findings show that there is a \"central core of cervical cancer\" protein expression pattern, and suggest that 14-3-3\u03b6 is key to determine if the cell proliferates or dies. In addition, our bioinformatics analysis suggests that the neoplastic phenotype is governed by a non-canonical regulatory pathway.<\/jats:p><\/jats:sec>","DOI":"10.1186\/1752-0509-5-96","type":"journal-article","created":{"date-parts":[[2011,6,23]],"date-time":"2011-06-23T06:27:54Z","timestamp":1308810474000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":45,"title":["Proteomic patterns of cervical cancer cell lines, a network perspective"],"prefix":"10.1186","volume":"5","author":[{"given":"Juan Carlos","family":"Higareda-Almaraz","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda delRoc\u00edo","family":"Enr\u00edquez-Gasca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Magdalena","family":"Hern\u00e1ndez-Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Osbaldo","family":"Resendis-Antonio","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sergio","family":"Encarnaci\u00f3n-Guevara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,6,22]]},"reference":[{"key":"714_CR1","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1093\/carcin\/bgp261","volume":"31","author":"PK Kreeger","year":"2010","unstructured":"Kreeger PK, Lauffenburger DA: Cancer systems biology: a network modeling perspective. 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