Bioinformatic reanalysis of public proteomics data reveals that nuclear proteins are recurrent in cancer secretomes.

Autor: De Morais JA; Functional Proteomics Laboratory, Institute of Science and Technology, Federal University of São Paulo, UNIFESP, São José dos Campos, São Paulo, Brazil., Zelanis A; Functional Proteomics Laboratory, Institute of Science and Technology, Federal University of São Paulo, UNIFESP, São José dos Campos, São Paulo, Brazil.
Jazyk: angličtina
Zdroj: Traffic (Copenhagen, Denmark) [Traffic] 2022 Feb; Vol. 23 (2), pp. 98-108. Date of Electronic Publication: 2021 Dec 02.
DOI: 10.1111/tra.12827
Abstrakt: Proteins secreted by tumoral cells (cancer secretomes) have been continuously associated with cancer development and progression processes. In this context, secreted proteins contribute to the signaling mechanisms related to tumor growth and spreading and studies on tumor secretomes provide valuable clues on putative tumor biomarkers. Although the in vitro identification of intracellular proteins in cancer secretome studies has usually been associated with contamination derived from cell lysis or fetal bovine serum, accumulated evidence reports on intracellular proteins with moonlighting functions in the extracellular environment. In this study, we performed a systematic reanalysis of public proteomics data regarding different cancer secretomes, aiming to identify intracellular proteins potentially secreted by tumor cells via unconventional secretion pathways. We found a similar repertoire of unconventionally secreted proteins, including the recurrent identification of nuclear proteins secreted by different cancer cells. In addition, in some cancer types, immunohistochemical data were in line with proteomics identifications and suggested that nuclear proteins might relocate from the nucleus to the cytoplasm. Both the presence of nuclear proteins and the likely unconventional secretion of such proteins may comprise biological signatures of malignant transformation in distinct cancer types and may be targeted for further analysis aiming at the prognostic/therapeutic value of such features.
(© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)
Databáze: MEDLINE
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