Metabolic rewiring is associated with HPV-specific profiles in cervical cancer cell lines.

Autor: Pappa KI; Cell and Gene Therapy Laboratory, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece.; First Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens School of Medicine, Athens, Greece., Daskalakis G; First Department of Obstetrics and Gynecology, National and Kapodistrian University of Athens School of Medicine, Athens, Greece., Anagnou NP; Cell and Gene Therapy Laboratory, Biomedical Research Foundation of the Academy of Athens (BRFAA), Athens, Greece. anagnou@med.uoa.gr.; Laboratory of Biology, National and Kapodistrian University of Athens School of Medicine, Athens, Greece. anagnou@med.uoa.gr.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2021 Sep 06; Vol. 11 (1), pp. 17718. Date of Electronic Publication: 2021 Sep 06.
DOI: 10.1038/s41598-021-96038-8
Abstrakt: Both HPV-positive and HPV-negative cervical cancers are associated with aberrant metabolism, although the oncogenic drivers remain elusive. Here we show the assessment of the metabolomic profiles of four distinct cervical cell lines, a normal and three cancer cell lines, one HPV-negative (C33A) and two HPV-positive (SiHa HPV16+, HeLa HPV18+), employing an ultra performance liquid chromatography and a high resolution mass spectrometry. Out of the total 462 metabolites, 248 to 326 exhibited statistically significant differences, while Random Forests analysis identified unique molecules for each cell line. The two HPV+ cell lines exhibited features of Warburg metabolism, consistent with the role of the HPV E6 protein. SiHa and HeLa cells displayed purine salvage pathway activity, while C33A cells revealed synthesis of cytidine, via a novel mechanism. These data document a highly dynamic HPV-specific rewiring of metabolic pathways occurring in cervical cancer. Therefore, this approach can eventually provide novel mechanistic insights into cervical carcinogenesis.
(© 2021. The Author(s).)
Databáze: MEDLINE