Dataset Information

Secretome cervical cancer LC-MS/MS

ABSTRACT: The molecular processes and proteomic markers leading to tumour development (TD) in cervical cancer (CC) are either unknown or only partially understood. TD affects metabolic and regulatory mechanisms that can be identified as proteomic changes. To identify which proteins are differentially expressed and to understand the mechanisms underlying cancer progression, we analysed the tumour proteome dynamics of CC cell lines. This analysis revealed two proteins that were up-regulated during TD: GSTM3 and GSTP1. These proteins are involved in cell maintenance, survival and stress responses during TD. We demonstrated that the GSTM3/HPV18 E7 interaction regulates stress adaptation. Furthermore, knockdown of GST proteins showed that they are involved in proliferation and evasion of apoptosis via the NF-kB and MAP kinase pathways during TD. These data indicate the critical role of GST proteins in the regulation and progression of cancer. Hence, we suggest GSTs as novel biomarkers and potential therapeutic targets for CC patients.

INSTRUMENT(S): Synapt MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Cervix Carcinoma

SUBMITTER: ALBERTO CHECA-ROJAS

LAB HEAD: Sergio Encarnación Guevara

PROVIDER: PXD005466 | Pride | 2018-05-23

REPOSITORIES: Pride

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Publications

GSTM3 and GSTP1: novel players driving tumor progression in cervical cancer.

Checa-Rojas Alberto A Delgadillo-Silva Luis Fernando LF Velasco-Herrera Martín Del Castillo MDC Andrade-Domínguez Andrés A Gil Jeovanis J Santillán Orlando O Lozano Luis L Toledo-Leyva Alfredo A Ramírez-Torres Alberto A Talamas-Rohana Patricia P Encarnación-Guevara Sergio S

Oncotarget 20180424 31

The molecular processes and proteomic markers leading to tumor progression (TP) in cervical cancer (CC) are either unknown or only partially understood. TP affects metabolic and regulatory mechanisms that can be identified as proteomic changes. To identify which proteins are differentially expressed and to understand the mechanisms of cancer progression, we analyzed the dynamics of the tumor proteome in CC cell lines. This analysis revealed two proteins that are up-regulated during TP, GSTM3 and ...[more]

PMID: 29774096

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Project description:In vertebrates, all cells except circulating blood cells must adhere to support their normal growth and functions. The adherence to extracellular matrix and/or other cells is critical and adherent cells placed in non-adherent conditions either die or form multicellular spheroids. Placing cells in non-adherent conditions has been used to induce differentiation in teratocarcinoma cells and more recently to form organoids . Because of such important consequences induced by cell adhesion on cell growth and function, the transition between adherent and non-adherent states is rather rare. There are however physiological situations, such as blood cells diapedesis, during which cells that circulate into the blood stream must adhere to the endothelial cells and cross the endothelial barrier to reach target tissues. Another example of transition, from an adherent to a non-adherent state, is observed in the metastasic process, where cells detach from the tumor mass and circulate in the blood and lymphatic vasculature prior to reattaching and extravasating to colonize distant organs. The comparative analysis of the only effects of adherence on cellular functions is complicated by the fact that in many study models the acquisition or loss of adherence induces major alterations in cell physiology that would obscure the effects of the adherence itself. For example, P19 teratocarcinoma cells differentiate in suspension spheroids while they do not in adhering conditions. In this context, the comparison between spheroids and adherent cells would not be a comparison between adherent and non-adherent cells, but between differentiated cells adhering between them and undifferentiated cells adhering on plastic. Mouse macrophage cell lines represent one of the rare experimental models that may be suitable to compare the adherent and non-adherent states. Indeed, they grow equally well under adherent and non-adherent conditions and keep their differentiated functions under both conditions. We therefore decided to use this model to analyze the changes between the adherent and the non-adherent state using a broad approach, based on proteomics.

Dataset Information

Secretome cervical cancer LC-MS/MS

Publications

GSTM3 and GSTP1: novel players driving tumor progression in cervical cancer.

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