Regulator of G protein signaling 20 correlates with clinicopathological features and prognosis in triple-negative breast cancer

Quan, Li; Jin, Weiwei; Cai, Yefeng; Yang, Fang; Chen, Endong; Ye, Danrong; Wang, Qingxuan; Guan, Xiaoxiang

doi:10.1016/j.bbrc.2017.02.106

Cited by 21 publications

(20 citation statements)

References 28 publications

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“…CST6 has been reported to play a role in the progression of triple-negative breast cancer (TNBC) and may act as a tumor-promoter gene. High CST6 expression was also associated with a higher rate of lymph node metastasis ( Li et al, 2018b ). SLC7A2 is essential for transport of L-arginine, lysine and ornithine and genetic polymorphisms in the SLC7A2 gene are associated with colorectal cancer progression ( Sun et al, 2017 ).…”

Section: Discussionmentioning

confidence: 99%

Genome‐wide identification of CpG island methylator phenotype related gene signature as a novel prognostic biomarker of gastric cancer

Zeng

Xie

Gong

2020

PeerJ

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Background Gastric cancer (GC) is one of the most fatal cancers in the world. Results of previous studies on the association of the CpG island methylator phenotype (CIMP) with GC prognosis are conflicting and mainly based on selected CIMP markers. The current study attempted to comprehensively assess the association between CIMP status and GC survival and to develop a CIMP-related prognostic gene signature of GC. Methods We used a hierarchical clustering method based on 2,082 GC-related methylation sites to stratify GC patients from the cancer genome atlas into three different CIMP subgroups according to the CIMP status. Gene set enrichment analysis, tumor-infiltrating immune cells, and DNA somatic mutations analysis were conducted to reveal the genomic characteristics in different CIMP-related patients. Cox regression analysis and the least absolute shrinkage and selection operator were performed to develop a CIMP-related prognostic signature. Analyses involving a time-dependent receiver operating characteristic (ROC) curve and calibration plot were adopted to assess the performance of the prognostic signature. Results We found a positive relationship between CIMP and prognosis in GC. Gene set enrichment analysis indicated that cancer-progression-related pathways were enriched in the CIMP-L group. High abundances of CD8+ T cells and M1 macrophages were found in the CIMP-H group, meanwhile more plasma cells, regulatory T cells and CD4+ memory resting T cells were detected in the CIMP-L group. The CIMP-H group showed higher tumor mutation burden, more microsatellite instability-H, less lymph node metastasis, and more somatic mutations favoring survival. We then established a CIMP-related prognostic gene signature comprising six genes (CST6, SLC7A2, RAB3B, IGFBP1, VSTM2L and EVX2). The signature was capable of classifying patients into high‐and low‐risk groups with significant difference in overall survival (OS; p < 0.0001). To assess performance of the prognostic signature, the area under the ROC curve (AUC) for OS was calculated as 0.664 at 1 year, 0.704 at 3 years and 0.667 at 5 years. When compared with previously published gene-based signatures, our CIMP-related signature was comparable or better at predicting prognosis. A multivariate Cox regression analysis indicated the CIMP-related prognostic gene signature was an independent prognostic indicator of GC. In addition, Gene ontology analysis indicated that keratinocyte differentiation and epidermis development were enriched in the high-risk group. Conclusion Collectively, we described a positive association between CIMP status and prognosis in GC and proposed a CIMP-related gene signature as a promising prognostic biomarker for GC.

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Section: Discussionmentioning

confidence: 99%

Genome‐wide identification of CpG island methylator phenotype related gene signature as a novel prognostic biomarker of gastric cancer

Zeng

Xie

Gong

2020

PeerJ

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“…RGS20 was first reported to be overexpressed in metastatic melanomas (32). High expression of RGS20 indicated the progression and poor survival of triple-negative breast cancer (33). RGS20 facilitated cell aggregation, invasion and the expression of vimentin, but decreased the expression of E-cadherin (34).…”

Section: Discussionmentioning

confidence: 99%

lncRNA NEAT1 promotes cell proliferation and invasion by regulating miR‑365/RGS20 in oral squamous cell carcinoma

Huang

He²,

Wei

2018

Oncol Rep

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Long non-coding RNAs (lncRNAs) have emerged as critical regulators of tumor progression. However, the function and mechanism of lncRNA NEAT1 in oral squamous cell carcinoma (OSCC) are unclear. In the present study, NEAT1 was significantly upregulated in OSCC cells and tissues. High expression of NEAT1 was correlated with advanced TNM stage and poor survival of patients. Using bioinformatics prediction and experimental analysis, we determined that NEAT1 could negatively regulate the expression of miR-365. The expression of miR-365 was decreased in OSCC tissues and inversely correlated with NEAT1 in tumors. Functionally, knockdown of NEAT1 significantly inhibited cell proliferation and invasion and induced cell cycle arrest at the G0/G1 phase and apoptosis, whereas inhibition of miR-365 abolished the suppressive effect of NEAT1 knockdown on cellular processes. RGS20, a direct target of miR-365, could reverse the tumor suppressive role of miR-365 mimic by enhancing cell viability and motility. Moreover, the protein levels of RGS20, cyclin D1, E-cadherin, N-cadherin and vimentin could be regulated by the NEAT1/miR-365 axis. NEAT1 silencing also inhibited tumor growth in vivo. Collectively, we revealed that the NEAT1/miR-365/RGS20 axis may be a novel mechanism or therapeutic strategy for OSCC treatment.

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“… 32 , 33 RGS20 is a negative regulator of heterotrimeric G proteins and may promote cancer cell metastasis by upregulating vimentin and downregulating E-cadherin. 34 , 35 FGB is one component of fibrinogen, which is a critical for tumor cell proliferation, angiogenesis and cancer metastasis. 36 , 37 Elevated plasma level of fibrinogen is a strong indicator of poor prognosis of various tumors, such as breast tumor, 38 prostate cancer, 39 and lung cancer.…”

Section: Discussionmentioning

confidence: 99%

Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA-miRNA-mRNA network

Zhao

Cheng

et al. 2018

OTT

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BackgroundNovel diagnostic predictors and drug targets are needed for LUAD (lung adenocarcinoma). We aimed to build a specific SVM (support vector machine) classifier for diagnosis of LUAD and identify molecular markers with prognostic value for LUAD.MethodsThe expression differences of miRNAs, lncRNAs and mRNAs between LUAD and normal samples were compared using data from TCGA (The Cancer Genome Atlas) database. A LUAD related miRNA-lncRNA-mRNA network was constructed, based on which feature genes were selected for the construction of LUAD specific SVM classifier. The robustness and transferability of SVM classifier were validated using gene expression profile datasets GSE43458 and GSE10072. Prognostic markers were identified from the network. A set of LUAD-related differentially expressed miRNAs, lncRNAs and miRNAs were identified and a LUAD related miRNA-lncRNA-mRNA network was obtained. The LUAD specific SVM classifier constructed on the basis of the network was robust and efficient for classification of samples from TCGA dataset and two independent validation datasets.ResultsEight RNAs with prognostic value were identified, including hsa-miR-96, hsa-miR-204, PGM5P2 (phosphoglucomutase 5 pseudogene 2), SFTA1P (surfactant associated 1), RGS20 (regulator of G protein signaling 20), RGS9BP (RGS9-binding protein), FGB (fibrinogen beta chain) and INA (alpha-internexin). Among them, RGS20 and INA were regulated by hsa-miR-96. RGS20 was also regulated by hsa-miR-204, which was a potential target of SFTA1P.ConclusionThe LUAD specific SVM classifier may serve as a novel diagnostic predictor. hsa-miR-96, hsa-miR-204, PGM5P2, SFTA1P, RGS20, RGS9BP, FGB and INA may serve as prognostic markers in clinical practice.

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Regulator of G protein signaling 20 correlates with clinicopathological features and prognosis in triple-negative breast cancer

Cited by 21 publications

References 28 publications

Genome‐wide identification of CpG island methylator phenotype related gene signature as a novel prognostic biomarker of gastric cancer

Genome‐wide identification of CpG island methylator phenotype related gene signature as a novel prognostic biomarker of gastric cancer

lncRNA NEAT1 promotes cell proliferation and invasion by regulating miR‑365/RGS20 in oral squamous cell carcinoma

Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA-miRNA-mRNA network

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