Expression of TBC1D16 Is Associated with Favorable Prognosis of Epithelial Ovarian Cancer

Yang, Zunxian; Shen, Hongwei; He, Weipeng; Ouyang, Linlong; Guo, Yunyun; Qian, Fang; Xu, Baoduan; Xie, Dan; Yang, Guimei

doi:10.1620/tjem.245.141

Cited by 7 publications

(8 citation statements)

References 29 publications

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“…The prognostic value of 172 protein biomarkers was evaluated by immunohistochemistry in 174 studies (Table 2). These markers are classified according to their biological functions, mainly including such functional pathways as EMT and metastasis [59][60][61][62][63][64][65][66][67][68][69][70][71], inflammation and immunity [72][73][74][75][76][77][78][79][80][81][82][83][84], antioxidant [85,86], angiogenesis [87][88][89][90][91][92][93][94][95][96][97][98][99], cell proliferation, migration and invasion [100][101][102][103][104]…”

Section: Tissue-based Prognostic Biomarkersmentioning

confidence: 99%

Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer

Liu¹,

Wu²,

Wang³

2021

J. Cancer

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Ovarian cancer is a serious threat to women's health; its early diagnosis rate is low and prone to metastasis and recurrence. The current conventional treatment for ovarian cancer is a combination of platinum and paclitaxel chemotherapy based on surgery. The recurrence and progression of ovarian cancer with poor prognosis is a major challenge in treatment. With rapid advances in technology, understanding of the molecular pathways involved in ovarian cancer recurrence and progression has increased, biomarker-guided treatment options can greatly improve the prognosis of patients. This review systematically discusses and summarizes existing and new information on prognostic factors and biomarkers of ovarian cancer, which is expected to improve the clinical management of patients and lead to effective personalized treatment.

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Section: Tissue-based Prognostic Biomarkersmentioning

confidence: 99%

Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer

Liu¹,

Wu²,

Wang³

2021

J. Cancer

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“…TBC1D16 belongs to the TBC protein family, and the current understanding of it mainly focuses on its role in different diseases. TBC1D16 is highly expressed in epithelial ovarian cancer (EOC) (54). Changes in methylation modification of the TBC1D16 gene are associated with the progression and metastasis of multiple types of tumors (55).…”

Section: Discussionmentioning

confidence: 99%

“…Rab5CD (50)(51)(52)(53)(54)(55)(56)(57)(58) and TBC1D16 (Figure 7E). These results suggest that the effector region QESTIGAAF (amino-acid residues 50-58) of Rab5C is pivotal for inhibiting PFV replication.…”

Section: Qestigaaf (Amino Acid Residues 50-58) Is Important For Rab5c To Inhibit Pfv Replicationmentioning

confidence: 99%

“…The results of Co-IP showed that there existed an interaction between Rab5C and TBC1C16, while no interaction was detected between ) is important for the interaction between Rab5C and TBC1D16. pCMV-Flag-TBC1D16 (3 mg) and pCMV-HA-Rab5C (3 mg) or pCMV-HA-Rab5CD(50-58) (3 mg) were cotransfected into HEK293T cells for 48 h, then Co-immunoprecipitation and immunoblot analysis were used to detect the interaction between TBC1D16 and Rab5C or Rab5CD (50)(51)(52)(53)(54)(55)(56)(57)(58).…”

Section: Qestigaaf (Amino Acid Residues 50-58) Is Important For Rab5c To Inhibit Pfv Replicationmentioning

confidence: 99%

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Novel Host Protein TBC1D16, a GTPase Activating Protein of Rab5C, Inhibits Prototype Foamy Virus Replication

et al. 2021

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Prototype foamy virus (PFV) is a member of the oldest family of retroviruses and maintains lifelong latent infection in the host. The lifelong latent infection of PFV may be maintained by the restriction factors of viral replication in the host. However, the mechanisms involved in PFV latent infection are poorly understood. Here, we found that TBC1D16, a TBC domain-containing protein, is significantly down-regulated after PFV infection. Tre2/Bub2/Cdc16 (TBC) domain-containing proteins function as Rab GTPase-activating proteins (GAPs) and are participates in the progression of some diseases and many signaling pathways. However, whether TBC proteins are involved in PFV replication has not been determined. Here, we found that TBC1D16 is a novel antiviral protein that targets Rab5C to suppress PFV replication. Overexpression TBC1D16 inhibited the transcription and expression of Tas and Gag, and silencing TBC1D16 enhanced the PFV replication. Moreover, the highly conserved amino acid residues R494 and Q531 in the TBC domain of TBC1D16 were essential for inhibiting PFV replication. We also found that TBC1D16 promoted the production of PFV-induced IFN-β and the transcription of downstream genes. These results suggest that TBC1D16 might be the first identified TBC proteins that inhibited PFV replication and the mechanism by which TBC1D16 inhibited PFV replication could provide new insights for PFV latency.

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“…TBC1D15 acts as a GAP of Rab7 in regulation of the lysosomal morphology (34). Aberrant intracellular transport is involved in type 2 diabetes, immune deficiencies and cancer (35),. Besides, correlation analysis indicated a positive correlation with signal molecule synthesis, apoptosis and cell cycle arrest (36,37).…”

Section: Discussionmentioning

confidence: 99%

Tre2-Bub2-Cdc16 Family Proteins Based Nomogram Serve as a Promising Prognosis Predicting Model for Melanoma

et al. 2020

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Tre2-Bub2-Cdc16 (TBC) proteins are conserved in eukaryotic organisms and function as negative feedback dominating the GAPs for Rab GTPases, while the function of TBC proteins in melanoma remains unclear. In this study, we observed the differential expression of 33 TBC genes in TCGA datasets classified by clinical features. Seven prognostic-associated TBC genes were identified by LASSO Cox regression analysis. Mutation analysis revealed distinctive frequency alteration in the seven prognosticassociated TBCs between cases with high and low scores. High-risk score and cluster 1 based on LASSO Cox regression and consensus clustering analysis were relevant to clinical features and unfavorable prognosis. GSVA analysis showed that prognosticassociated TBCs were related to metabolism and protein transport signaling pathway. Correlation analysis indicated the relationship between the prognostic-associated TBCs with RAB family members, invasion-related genes and immune cells. The prognostic nomogram model was well established to predict survival in melanoma. What's more, interference of one of the seven TBC proteins TBC1D7 was confirmed to inhibit the proliferation, migration and invasion of melanoma cells in vitro. In summary, we preliminarily investigated the impact of TBCs on melanoma through multiple bioinformatics analysis and experimental validation, which is helpful for clarifying the mechanism of melanoma and the development of anti-tumor drugs.

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Expression of TBC1D16 Is Associated with Favorable Prognosis of Epithelial Ovarian Cancer

Cited by 7 publications

References 29 publications

Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer

Research Progress in Prognostic Factors and Biomarkers of Ovarian Cancer

Novel Host Protein TBC1D16, a GTPase Activating Protein of Rab5C, Inhibits Prototype Foamy Virus Replication

Tre2-Bub2-Cdc16 Family Proteins Based Nomogram Serve as a Promising Prognosis Predicting Model for Melanoma

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