Expression levels and the prognostic value of long non-coding RNA PVT1 in serum of Han and Uygur gastric cancer patients in Xinjiang, China

Abstract Background Long non-coding RNAs (lncRNAs) have been reported to play a key role in gastric cancer (GC) tumorigenesis. However, the clinical application value of serum lncRNAs in GC has remained largely unknown. We investigated the role of a novel lncRNA named CTC-497E21.4 in the diagnosis and the prognosis of GC. Methods We focused on evaluation of lncRNA CTC-497E21.4 by real-time fluorescent quantitative polymerase chain reaction (RTFQ-PCR). The study involved following aspects: (1) confirmation of the higher lncRNA CTC-497E21.4 expression in different types of GC specimens than corresponding controls; (2) evaluation of monitoring tumor dynamics by the serum lncRNA CTC-497E21.4 assay; (3) evaluation of the prognostic value of lncRNA CTC-497E21.4 assay in GC. Results (1) The method of RTFQ-PCR detection of lncRNA CTC-497E21.4 was evaluated to have high sensitivity and specificity. (2) The expression levels of lncRNA CTC-497E21.4 were higher in GC patients compared with corresponding controls (p<0.001), and the combination of serum lncRNA CTC-497E21.4, CEA and CA19-9 could improve diagnostic sensitivity (96.36%). (3) The serum lncRNA CTC-497E21.4 expression levels were lower in postoperative samples than preoperative samples (p=0.0021) and survival curves downloaded from TCGA showed high lncRNA CTC-497E21.4 levels were associated with poor OS of GC (p=0.0351). Conclusions lncRNA CTC-497E21.4 may be a potential biomarker for the diagnosis and the prognosis of GC.

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Identification and Validation of SNP-Containing Genes With Prognostic Value in Gastric Cancer via Integrated Bioinformatics Analysis

Frontiers in Oncology ◽

10.3389/fonc.2021.564296 ◽

2021 ◽

Vol 11 ◽

Author(s):

Hui Li ◽

Jing Guo ◽

Guang Cheng ◽

Yucheng Wei ◽

Shihai Liu ◽

...

Keyword(s):

Gastric Cancer ◽

Survival Rate ◽

Cancer Patients ◽

Prognostic Value ◽

Molecular Pathogenesis ◽

Ppi Network ◽

Hub Genes ◽

Expression Levels ◽

Key Genes ◽

Gastric Cancer Patients

BackgroundGastric cancer is one of the most common malignancies worldwide. Although the diagnosis and treatment of this disease have substantially improved in recent years, the five-year survival rate of gastric cancer is still low due to local recurrence and distant metastasis. An in-depth study of the molecular pathogenesis of gastric cancer and related prognostic markers will help improve the quality of life and prognosis of patients with this disease. The purpose of this study was to identify and verify key SNPs in genes with prognostic value for gastric cancer.MethodsSNP-related data from gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA) database, and the functions and pathways of the mutated genes were analyzed using DAVID software. A protein-protein interaction (PPI) network was constructed using the STRING database and visualized by Cytoscape software, and molecular complex detection (MCODE) was used to screen the PPI network to extract important mutated genes. Ten hub genes were identified using cytoHubba, and the expression levels and the prognostic value of the central genes were determined by UALCAN and Kaplan-Meier Plotter. Finally, quantitative PCR and Western blotting were used to verify the expression of the hub genes in gastric cancer cells.ResultsFrom the database, 945 genes with mutations in more than 25 samples were identified. The PPI network had 360 nodes and 1616 edges. Finally, cytoHubba identified six key genes (TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4), and their expression levels were closely related to the survival rate of gastric cancer patients.ConclusionOur results indicate that TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4 may be key genes for the development and prognosis of gastric cancer. Our research provides an important bioinformatics foundation and related theoretical foundation for further exploring the molecular pathogenesis of gastric cancer and evaluating the prognosis of patients.

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Abstract 143: A long non-coding RNA activated by TGF-β can predict the prognosis of gastric cancer patients

10.1158/1538-7445.am2015-143 ◽

2015 ◽

Author(s):

Tomoko Saito ◽

Junji Kurashige ◽

Sho Nambara ◽

Hisateru Komatsu ◽

Hidenari Hirata ◽

...

Keyword(s):

Gastric Cancer ◽

Cancer Patients ◽

Non Coding Rna ◽

Gastric Cancer Patients ◽

Long Non Coding Rna

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Clinicopathological aspects and prognostic value with respect to age: An analysis of 3,362 consecutive gastric cancer patients

Journal of Surgical Oncology ◽

10.1002/jso.21281 ◽

2009 ◽

Vol 99 (7) ◽

pp. 395-401 ◽

Cited By ~ 55

Author(s):

Jun Chul Park ◽

Yong Chan Lee ◽

Jie-Hyun Kim ◽

Yu Jin Kim ◽

Sang Kil Lee ◽

...

Keyword(s):

Gastric Cancer ◽

Cancer Patients ◽

Prognostic Value ◽

Gastric Cancer Patients

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A novel predictive model for predicting prognostic value of preoperative blood lymphocyte-monocyte ratio in gastric cancer patients after radical resection

Annals of Oncology ◽

10.1093/annonc/mdx261.108 ◽

2017 ◽

Vol 28 ◽

pp. iii45

Author(s):

Changming Huang ◽

Jianxian Lin ◽

Jun-Peng Lin ◽

Long-Long Cao ◽

Chao-Hui Zheng

Keyword(s):

Gastric Cancer ◽

Predictive Model ◽

Cancer Patients ◽

Blood Lymphocyte ◽

Prognostic Value ◽

Radical Resection ◽

Gastric Cancer Patients

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Prognostic Value of Perineural Invasion in Resected Gastric Cancer Patients According to Lauren Histotype

Pathology & Oncology Research ◽

10.1007/s12253-017-0257-8 ◽

2017 ◽

Vol 24 (2) ◽

pp. 393-400 ◽

Cited By ~ 7

Author(s):

Lorenzo De Franco ◽

Daniele Marrelli ◽

Costantino Voglino ◽

Carla Vindigni ◽

Francesco Ferrara ◽

...

Keyword(s):

Gastric Cancer ◽

Cancer Patients ◽

Prognostic Value ◽

Perineural Invasion ◽

Lauren Histotype ◽

Gastric Cancer Patients ◽

Resected Gastric Cancer

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The Clinicopathological Significance and Prognostic Value of Obg-Like Atpase 1 (OLA1) in Gastric Cancer

10.21203/rs.3.rs-362393/v1 ◽

2021 ◽

Author(s):

Juan Wang ◽

Zihan Zheng ◽

Qinghua Cao ◽

Xiufen Liu ◽

Zhiqing Wang

Keyword(s):

Gastric Cancer ◽

Overall Survival ◽

Cancer Patients ◽

Prognostic Value ◽

Biological Significance ◽

High Expression ◽

Cancer Tissue ◽

Cox Regression Analysis ◽

Gastric Cancer Patients ◽

Cancer Tissues

Abstract Backgroud Obg-like ATPase 1 (OLA1) is a member of the Obg family of P-loop NTPases and has recently been detected in several human cancer cells. However, its expression type and clinical relevance in gastric cancer remains unclear. Methods In the present study, 2 datasets downloaded from the open Gene Expression Omnibus database were used to evaluate the mRNA level of OLA1 in gastric cancer. Quantitative Reverse Transcription PCR further validated the mRNA expression in gastric cancer tissues. Immunohistochemistry was performed on gastric cancer tissue microarray to assess OLA1 protein expression type, prognostic value, biological significance and its association with Snail in 334 patients of gastric cancer. The prognostic value of combination of OLA1 and Snail has been evaluated. Results The results showed that OLA1 mRNA and protein were elevated in gastric cancer tissues. High expression of OLA1 was significantly associated with aggressive features, such as tumor size, lymph node metastasis and TNM stage (P = 0.0146, P = 0.0037, P < 0.001, respectively). Moreover, high levels of OLA1 predicted worse overall survival. Multivariate Cox regression analysis indicated that high expression of OLA1 was an independent prognostic factor for poor overall survival (hazard ratio, 0.573; 95% confidence interval, 0.376–0.872; P = 0.009). Additionally, OLA1 expression was positively correlated with Snail, and combination of them revealed improved prognostic accuracy for gastric cancer patients. Conclusions Our results suggested that OLA1 high expression was considered as an independent factor for the prediction of unfavorable prognosis in gastric cancer patients, and we believe that OLA1 could serve as a biomarker of poor prognosis and a novel target in treating gastric cancers.

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