Prognostic significance of mRNA expression of CASPs in gastric cancer

Wang, Zixiang; Ni, Fubiao; Yu, Fangyi; Cui, Zhonghui; Zhu, Xiandong; Chen, Jicai

doi:10.3892/ol.2019.10816

Cited by 25 publications

(27 citation statements)

References 57 publications

(57 reference statements)

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“…CASP5 is an inflammatory caspase that serves a role in the immune system (27)(28)(29). Inflammation and cancer development are closely associated and a distinct inflammatory environment often exists within tumors (27).…”

Section: Discussionmentioning

confidence: 99%

“…Inflammation and cancer development are closely associated and a distinct inflammatory environment often exists within tumors (27). Multiple CASPs are abnormally expressed in GC and associated with the survival rates of GC (28). CASP5 gene overexpression can significantly promote the angiogenesis ability of vascular endothelial cells by promoting the VEGF signaling pathway (29).…”

Section: Discussionmentioning

confidence: 99%

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Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer

et al. 2020

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The capecitabine and oxaliplatin (CapeOX) regimen is a commonly used adjuvant chemotherapeutic regimen for gastric cancer (GC). However, some patients exhibit a poor chemotherapy response due to genetic differences among individuals. Therefore, finding an effective sensitization strategy for CapeOX is important in the treatment of GC. The present study aimed to investigate the predictive biomarkers of the CapeOX chemotherapeutic outcomes for patients with GC. A total of 30 differentially expressed genes (DEGs) were identified using the gene expression profiles from The Cancer Genome Atlas capecitabine and oxaliplatin treatment GC cases and seven key DEGs [uroplakin-1b (UPK1B), fatty acid-binding protein, heart (FABP3), cystatin-M, caspase-5 (CASP5), corticosteroid 11-β-dehydrogenase isozyme 2, cytochrome P450 4X1 (CYP4X1) and epidermal growth factor receptor kinase substrate 8-like protein 3] were associated with survival. Gene validation was performed in clinical samples divided into recurrence and nonrecurrence groups. Patients with high or low expression of UPK1B, FABP3, CASP5 and CYP4X1 had markedly different overall survival rates. A model was established and the area under the curve of the receiver operating characteristic reached 0.875 (0.793-0.957), indicating that the model had good sensitivity and specificity.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer

et al. 2020

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“…PAM, CLDN9, CHST6, SLC16A3, KDELR3, and CASP6 are regarded as biomarkers or prognosis genes in the signature, with reports revealing their expression in the areas of the prostate ( Jimenez et al, 2001 ), endometrial lung adenocarcinoma ( Wang Z.H. et al, 2019 ), Uveal Melanoma ( Li et al, 2018 ), and gastric cancer ( Wang Z. et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Transcriptomic Analysis of Glycolysis-Related Genes Reveals an Independent Signature of Bladder Carcinoma

et al. 2020

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BackgroundBladder carcinoma (BC) is one of the most prevalent and malignant tumors. Multiple gene signatures based on BC metabolism, especially regarding glycolysis, remain unclear. Thus, we developed a glycolysis-related gene signature to be used for BC prognosis prediction.MethodsTranscriptomic and clinical data were divided into a training set and a validation set after they were downloaded and analyzed from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Gene-set enrichment analysis (GSEA) and differential analysis were used to screen differentially expressed genes (DEGs), while univariate Cox regression and lasso-penalized Cox regression were employed for signature establishment. To evaluate the prognostic power of the signature, receiver operating characteristic (ROC) curve and Kaplan–Meier (KM) survival analysis were also used. Additionally, we developed a nomogram to predict patients’ survival chances using the identified prognostic gene signature. Further, gene mutation and protein expression, as well as the independence of signature genes, were also analyzed. Finally, we also performed qPCR and western blot to detect the expression and potential pathways of signature genes in BC samples.ResultsTen genes were selected for signature construction among 71 DEGs, including nine risk genes and one protection gene. KM survival analysis revealed that the high-risk group had poor survival and the low-risk group had increased survival. ROC curve analysis and the nomogram validated the accurate prediction of survival using a gene signature composed of 10 glycolysis-related genes. Western blot and qPCR analysis demonstrated that the expression trend of signature genes was basically consistent with previous results. These 10 glycolysis-related genes were independent and suitable for a signature.ConclusionOur current study indicated that we successfully built and validated a novel 10-gene glycolysis-related signature for BC prognosis.

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“…The prognostic signi cance of CASP4 overexpression in tumors is controversial. Wang reported that in patients with gastric cancer, higher expression of CASP4 was associated with better OS [17]. However, Terlizzi et al found that CASP4 overexpression is associated with poor prognosis in patients with nonsmall cell lung cancer [18].…”

Section: Discussionmentioning

confidence: 99%

Caspase 4 Overexpression in Clear Cell Renal Cell Carcinoma and Its Prognostic Role

Meng¹,

Tian²,

Long³

et al. 2020

Preprint

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Background: Caspase 4 (CASP4) dysregulation is related to the occurrence, development, and outcome of many malignant tumors, but its role in clear cell renal cell carcinoma (ccRCC) is unclear. This study was conducted to investigate the expression level of CASP4 in tumor tissues and its relationship with clinical prognosis of patients with ccRCC. Methods: First, the Oncomine and The Cancer Genome Atlas databases were used to determine CASP4 mRNA expression in ccRCC and its association with ccRCC prognosis. We then performed immunohistochemical staining and evaluation of 30 paired ccRCC and adjacent normal tissues to confirm these results. The correlation between CASP4 expression and ccRCC prognosis was evaluated using Kaplan-Meier analysis, and related genes and pathways were obtained from The Cancer Genome Atlas database by gene set enrichment analysis and gene set variation analysis. Finally, we explored the co-expression of genes with CASP4 in ccRCC. Results: CASP4 mRNA expression in ccRCC was significantly higher than that in normal tissues (p < 0.001). Kaplan-Meier analysis showed that the overall survival of patients with ccRCC showing high CASP4 expression was significantly reduced (p < 0.001). We then used external datasets (Gene Expression Omnibus database and patients from our center) to verify the level of CASP4 expression and survival differences (all p < 0.05). We also found that differential expression levels of CASP4 were correlated with pathological grade and clinical TNM stage (all p < 0.05). Conclusions: Overall, our study shows that CASP4 is highly expressed in ccRCC and is an important factor affecting prognosis. Thus, CASP4 may be a potential prognostic biomarker of ccRCC.

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Prognostic significance of mRNA expression of CASPs in gastric cancer

Cited by 25 publications

References 57 publications

Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer

Identification of biomarkers predicting the chemotherapeutic outcomes of capecitabine and oxaliplatin in patients with gastric cancer

Transcriptomic Analysis of Glycolysis-Related Genes Reveals an Independent Signature of Bladder Carcinoma

Caspase 4 Overexpression in Clear Cell Renal Cell Carcinoma and Its Prognostic Role

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