Quantitative proteomic analysis of cervical cancer based on TMT-labeled quantitative proteomics

Xu, Dianqin; Zhu, Xiaoyu; Ren, Ji; Huang, Shan; Xiao, Ziwen; Jiang, Hongmei; Tan, Yongtao

doi:10.1016/j.jprot.2021.104453

Cited by 15 publications

(9 citation statements)

References 30 publications

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“…[57][58][59] Thus, it is plausible that the cooperative deregulation of the pathways identified in our analysis by both HIV and HPV could be responsible for the enhanced progression to advanced cervical cancer and metastasis usually reported among dual HIV and HPV infected women. Our findings are in agreement with previous studies that highlighted the importance of some of the pathways revealed by our network modeling, including PI3K-AKT signaling, 60 mRNA splicing 61 and DNA damage response, 62 in cervical cancer development.…”

Section: Discussionsupporting

confidence: 93%

Network modeling suggests HIV infection phenocopies PI3K-AKT pathway mutations to enhance HPV-associated cervical cancer

et al. 2023

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Section: Discussionsupporting

confidence: 93%

Network modeling suggests HIV infection phenocopies PI3K-AKT pathway mutations to enhance HPV-associated cervical cancer

et al. 2023

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“…The KEGG pathway analysis showed that the differently expressed genes were mainly enriched in complex and coagulation cascade, as well as staphylococcus aureus infection. A recent study discovered that one of the mechanisms leading to cervical cancer is the complex and coagulation cascade pathway, which is consistent with our ndings [24]. According to Chen's research, staphylococcus aureus infection may elicit an in ammatory response that unwittingly increases HPV-induced malignant progression, increasing the chance of cervical cancer formation [25].…”

Section: Discussionsupporting

confidence: 89%

EREG, HOPX and SYNGR3 influence the Pathogenesis and Prognosis of Cervical Cancer through immune cells infiltration

Zhang

Wang

Ren

2023

Preprint

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Background As a competitive endogenous RNA (ceRNA), circular RNA (circRNA) plays a significant role in the pathogenesis and progression of cervical cancer. A circRNA-associated ceRNA regulation network was built in this study, providing a new biological target for the treatment and prognosis of cervical cancer. Methods The expression profiles (GSE102686, GSE86100, and GSE7803) of circRNAs, miRNAs, and mRNAs were downloaded from the GEO database, and differentially expressed (DE) RNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs) were acquired. The circRNA-miRNA and miRNA-mRNA regulatory links were retrieved from the CSCD and TargetScan databases, respectively. Then, a regulatory network for circRNA-associated ceRNA has been developed. On the basis of the ceRNA network, GO analysis, KEGG analysis, survival analysis, and sub-network creation were done. We verified the hub gene affecting prognosis through qRT-PCR. Finally, we analyzed the relationship between the four hub genes and immune cell infiltration in cervical cancer patients by the single sample gene set enrichment analysis method. Results A total of 13 DEcircRNAs, 330 DEmiRNAs, and 74 DEmRNAs were found, as well as 6 circRNA-miRNA pairings and 42 miRNA-mRNA pairings predicted. The ceRNA regulatory network (circRNA-miRNA-mRNA) was constructed, which included 3 circRNA, 4 miRNA, and 27 mRNA. The prognostic sub-network consists of 3 circRNAs (hsa_circ_0027821, hsa_circ_0046290, hsa_circ_0000745), 4 miRNAs (hsa-miR-766-3p, hsa-miR-96-5p, hsa-miR-362-5p, hsa-miR-1227-5p) and 4 mRNAs (CDA, EREG, HOPX and SYNGR3) that are associated with survival and prognosis of cervical cancer. Immune infiltration analysis shown that neutrophils were positively correlated with EREG gene and HOPX gene, but negatively correlated with SYNGR3 gene. Conclusions In this research, we established a circRNA-associated ceRNA regulation network for cervical cancer and discovered that hub genes (EREG, HOPX, and SYNGR3) influence the pathogenesis and clinical prognosis of cervical cancer by immune cells infiltration.

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“…In addition to several proteomic analyses of the cells from women with cervical cancer [ 42 , 43 , 44 , 45 , 46 ], Higareda-Almaraz et al performed a proteomic analysis using 2D SDS–PAGE and MALDI-TOF of the cervical cancer cell lines HeLa, CaLo, SiHa, CaSki, ViBo, and C-33 A, with the immortalized keratinocyte cell line HaCaT as a control. They identified 66 differentially expressed proteins, termed the “central core of cervical cancer”.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Proteomics for the Identification of Differentially Expressed Proteins in the Extracellular Vesicles of Cervical Cancer Cells

Acevedo-Sánchez

Martínez-Ruiz

Aguilar-Ruiz

et al. 2023

Viruses

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The extracellular vesicles (EVs) in a tumoral microenvironment can exert different functions by transferring their content, which has been poorly described in cervical cancer. Here, we tried to clarify the proteomic content of these EVs, comparing those derived from cancerous HPV (+) keratinocytes (HeLa) versus those derived from normal HPV (–) keratinocytes (HaCaT). We performed a quantitative proteomic analysis, using LC-MS/MS, of the EVs from HeLa and HaCaT cell lines. The up- and downregulated proteins in the EVs from the HeLa cell line were established, along with the cellular component, molecular function, biological processes, and signaling pathways in which they participate. The biological processes with the highest number of upregulated proteins are cell adhesion, proteolysis, lipid metabolic process, and immune system processes. Interestingly, three of the top five signaling pathways with more up- and downregulated proteins are part of the immune response. Due to their content, we can infer that EVs can have a significant role in migration, invasion, metastasis, and the activation or suppression of immune system cells in cancer.

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Quantitative proteomic analysis of cervical cancer based on TMT-labeled quantitative proteomics

Cited by 15 publications

References 30 publications

Network modeling suggests HIV infection phenocopies PI3K-AKT pathway mutations to enhance HPV-associated cervical cancer

Network modeling suggests HIV infection phenocopies PI3K-AKT pathway mutations to enhance HPV-associated cervical cancer

EREG, HOPX and SYNGR3 influence the Pathogenesis and Prognosis of Cervical Cancer through immune cells infiltration

Quantitative Proteomics for the Identification of Differentially Expressed Proteins in the Extracellular Vesicles of Cervical Cancer Cells

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