Overexpression of chaperonin containing TCP1, subunit 3 predicts poor prognosis in hepatocellular carcinoma

Cui, Xiao; Hu, Zhiping; Zhao, Li; Gao, Peng-ji; Zhu, Jinmin

doi:10.3748/wjg.v21.i28.8588

Cited by 54 publications

(66 citation statements)

References 46 publications

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“…5f, Supplementary Fig. S6B), which was consistent with the previous reports [27,30]. Taken together, these results suggest a cancer-promoting role of CCT3 in different kinds of cancers.…”

Section: Cct3 Promoted Cell Proliferation and Stemness In Vitro Whilsupporting

confidence: 92%

Regulatory networks in mechanotransduction reveal key genes in promoting cancer cell stemness and proliferation

Huang

Zhang

et al. 2019

Oncogene

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Tumor-repopulating cells (TRCs) are cancer stem cell (CSC)-like cells with highly tumorigenic and self-renewing abilities, which were selected from tumor cells in soft three-dimensional (3D) fibrin gels with unidentified mechanisms. Here we evaluated the transcriptome alteration during TRCs generation in 3D culture and revealed that a variety of molecules related with integrin/membrane and stemness were continuously altered by mechanical environment. Some key regulators such as MYC/STAT3/hsa-miR-199a-5p, were changed in the TRCs generation. They regulated membrane genes and the downstream mechanotransduction pathways such as Hippo/WNT/TGF-β/PI3K-AKT pathways, thus further affecting the expression of downstream cancer-related genes. By integrating networks for membrane proteins, the WNT pathway and cancer-related genes, we identified key molecules in the selection of TRCs, such as ATF4, SLC3A2, CCT3, and hsa-miR-199a-5p. Silencing ATF4 or CCT3 inhibited the selection and growth of TRCs whereas reduction of SLC3A2 or hsa-miR-199a-5p promoted TRCs growth. Further studies showed that CCT3 promoted cell proliferation and stemness in vitro, while its suppression inhibited TRCs-induced tumor formation. We also contemplated CCT3 as a stemness-related gene. Our findings provide insights in the mechanism of TRCs selection through transcriptome analysis.

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“…5f, Supplementary Fig. S6B), which was consistent with the previous reports [27,30]. Taken together, these results suggest a cancer-promoting role of CCT3 in different kinds of cancers.…”

Section: Cct3 Promoted Cell Proliferation and Stemness In Vitro Whilsupporting

confidence: 92%

Regulatory networks in mechanotransduction reveal key genes in promoting cancer cell stemness and proliferation

Huang

Zhang

et al. 2019

Oncogene

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“…We eventually screened 39 prognosis-related genes in ESCC after analyzing the risk-associated brown module. Aberrant TCP1 gene status has been detected in hepatocellular carcinoma, breast cancer and colorectal cancer, but no study has been performed for its effect in ESCC [29][30][31]. MTHFD2 RNA and protein are remarkably increased in many types of cancers and correlated with worse survival in breast cancer according to a comprehensive analysis of RNA profiles of 1,454 metabolic enzymes across 1,981 tumors spanning 19 cancer types [32].…”

Section: Discussionmentioning

confidence: 99%

Identification of key genes and pathways associated with esophageal squamous cell carcinoma development based on weighted gene correlation network analysis

Shao

Wang

et al. 2020

J. Cancer

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Background: As one of the most aggressive malignancies, esophageal squamous cell carcinoma(ESCC) remains one of the leading causes of cancer related death worldwide. The majority of ESCCs are diagnosed at advanced stages with poor five-year survival rate, making it urgent to identify specific genes and pathways associated with its initiation and prognosis. Materials and Methods: The differentially expressed genes in TCGA were analysed to construct a co-expression network by WGCNA. Gene ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analysis were performed for the selected genes. Moduleclinical trait relationships were analyzed to explore the genes and pathways that associated with clinicopathological parameters of ESCC. Log-rank tests and COX regression were used to identify the prognosis-related genes. Results: The brown module containing 716 genes which most significantly contributed to ESCC. GO analysis suggested enrichment of adaptive immune response, cyclin−dependent protein serine, regeneration and mRNA metabolic process. KEGG analysis indicated pathways including Cellular senescence, Ribosome biogenesis, Proteasome, Base excision repair and p53 signaling pathway. Clinical stage was associated with cyan module; clinical M was associated with grey60 module; clinical T was associated with darkturquoise module; while clinical N, histological type and cancer location were associated with turquoise module. Key genes of TCP1, COQ3, PTMA and MAPRE1 might be potential prognostic markers for ESCC. Discussion: Differentially expressed genes and key modules contributing to initiation and progression in ESCC were identified by WGCNA. These findings provide novel insights into the mechanisms underlying the initiation, prognosis and treatment of ESCC.

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“…CCT3 depletion suppresses cell proliferation by inducing mitotic arrest at prometaphase and apoptosis eventually in HCC in vitro . Clinically, overexpression of CCT3 predicts poor prognosis in hepatocellular carcinoma patients after hepatectomy [25, 26]. CCT3 is significantly associated with carboplatin resistance in ovarian cancer patients after surgery treatment [27].…”

Section: Discussionmentioning

confidence: 99%

Identification of the Key Genes and Pathways in Esophageal Carcinoma

Zhang

et al. 2016

Gastroenterology Research and Practice

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Objective. Esophageal carcinoma (EC) is a frequently common malignancy of gastrointestinal cancer in the world. This study aims to screen key genes and pathways in EC and elucidate the mechanism of it. Methods. 5 microarray datasets of EC were downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened by bioinformatics analysis. Gene Ontology (GO) enrichment, Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment, and protein-protein interaction (PPI) network construction were performed to obtain the biological roles of DEGs in EC. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the expression level of DEGs in EC. Results. A total of 1955 genes were filtered as DEGs in EC. The upregulated genes were significantly enriched in cell cycle and the downregulated genes significantly enriched in Endocytosis. PPI network displayed CDK4 and CCT3 were hub proteins in the network. The expression level of 8 dysregulated DEGs including CDK4, CCT3, THSD4, SIM2, MYBL2, CENPF, CDCA3, and CDKN3 was validated in EC compared to adjacent nontumor tissues and the results were matched with the microarray analysis. Conclusion. The significantly DEGs including CDK4, CCT3, THSD4, and SIM2 may play key roles in tumorigenesis and development of EC involved in cell cycle and Endocytosis.

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Overexpression of chaperonin containing TCP1, subunit 3 predicts poor prognosis in hepatocellular carcinoma

Abstract: Overexpression of CCT3 in the nuclei of cancerous cells is associated with HCC progression. CCT3 may be a target that affects the activation of STAT3 in HCC.

Cited by 54 publications

References 46 publications

Regulatory networks in mechanotransduction reveal key genes in promoting cancer cell stemness and proliferation

Regulatory networks in mechanotransduction reveal key genes in promoting cancer cell stemness and proliferation

Identification of key genes and pathways associated with esophageal squamous cell carcinoma development based on weighted gene correlation network analysis

Identification of the Key Genes and Pathways in Esophageal Carcinoma

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