scholarly journals Prognostic values of aquaporins mRNA expression in human ovarian cancer

2018 ◽  
Vol 38 (2) ◽  
Author(s):  
Mandika Chetry ◽  
Saisai Li ◽  
Hailing Liu ◽  
Xiaoli Hu ◽  
Xueqiong Zhu
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Prognostic Significance ◽  
Prognostic Indicators ◽  
Transmembrane Channel ◽  
Kaplan Meier ◽  
Cancer Types ◽  
Kaplan Meier Plotter

Aquaporins (AQPs), a family of transmembrane channel, are composed of 13 identified members (AQP0–12). Accumulating evidences reported that AQPs were correlated with various biological roles and represented a prognostic predictor in various cancer types. However, the prognostic value of AQPs expression in ovarian cancer remains unclear. Using ‘Kaplan–Meier plotter’ (KM plotter) online database, we explored the predictive prognostic value of individual AQPs members’ mRNA expression to overall survival (OS) in different clinical data, such as histology, pathological grades, clinical stages, TP53 status, and applied chemotherapy in ovarian cancer patients. Our results revealed that higher AQP0, AQP1, and AQP4 mRNA expression were correlated with poor OS, whereas higher AQP3, AQP5, AQP6, AQP8, AQP10, and AQP11 showed better OS in ovarian cancer patients. Moreover, AQP4 and AQP8 showed poor OS in TP53-mutated ovarian cancer patients and AQP1 presented unfavorable OS in both TP53 mutated and wild ovarian cancer patients. Additionally, AQP3, AQP6, and AQP11 mRNA expression were correlated with better OS, whereas AQP0 and AQP1 showed poor OS in all ovarian cancer patients treated with Platin, Taxol, and Taxol + Platin chemotherapy. AQP5, AQP8, and AQP10 were associated with improved OS, however, AQP4 predicted unfavorable OS in all patients treated with Platin chemotherapy. Our results suggest that individual AQPs, except AQP2 and AQP9, are associated with unique prognostic significance and may thus act as new predictive prognostic indicators and potential drug therapeutic target in ovarian cancer.

scholarly journals The prognostic values of signal transducers activators of transcription family in ovarian cancer

2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Saisai Li ◽  
Bo Sheng ◽  
Menghuang Zhao ◽  
Qi Shen ◽  
Haiyan Zhu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Carcinoma ◽  
Cancer Patients ◽  
Tp53 Mutation ◽  
Signal Transducers ◽  
Kaplan Meier ◽  
Poor Differentiation ◽  
Cancer Types ◽  
High Level ◽  
Kaplan Meier Plotter

Signal transducer and activator of transcription (STAT), a family of latent cytoplasmic transcription factors, are composed of seven identified members (STAT1, STAT2, STAT3, STAT4, STAT5a, STAT5b, STAT6). STATs are associated with several biological processes such as cell proliferation, invasion, and metastasis in various cancer types. In addition, the STAT family has been well studied as a prognostic predictor for a considerable number of solid tumors. However, the prognostic value of the STAT family in ovarian cancer patients remains unclear. In our present study, we intend to access the prognostic roles of the STAT family in ovarian carcinoma through the ‘Kaplan–Meier plotter’ (KM plotter) online database, which collected gene expression data and survival information (overall survival (OS)) from a total of 1582 ovarian cancer patients. Our results show that high mRNA expression of STAT1, STAT4, STAT5a, STAT5b, and STAT6, are correlated to a better OS of ovarian cancer patients, especially the high level of STAT1 and STAT4 are significantly related to a favorable OS for serous ovarian cancer patients. We further accessed the prognostic roles of individual STATs in other clinicopathological features, such as pathological grades, clinical stages, and TP53 mutation, and found that these genes indicate a favorable prognosis especially for late stage, poor differentiation, and TP53 mutated ovarian cancer patients. In conclusion, these results suggest that the STAT family plays a significant prognostic role in ovarian carcinoma and individual STATs, except STAT2 and STAT3, may act as favorable prognostic markers in ovarian cancer.

scholarly journals Mining expression and prognosis of FOLR1 in ovarian cancer by using Oncomine and Kaplan-Meier plotter

Pteridines ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 158-164
Author(s):  
Qingyuan Su ◽  
Qingyuan Lv ◽  
Ruijin Wu
Keyword(s):  
Ovarian Cancer ◽  
Mrna Expression ◽  
Ovarian Tumor ◽  
Ovarian Tissue ◽  
Progression Free Survival ◽  
Free Survival ◽  
Normal Ovarian Tissue ◽  
Oncomine Database ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

Abstract Objective: To further explore folate receptor 1 (FOLR1) gene expression in ovarian cancer and its association with patients’ prognosis by deep mining the Oncomine and Kaplan-Meier plotter databases. Methods: FOLR1 mRNA expression data of ovarian cancer were retrieved from the Oncomine database and further analyzed by comparing tumor to healthy tissue. The prognostic value of FOLR1 in ovarian cancer was analyzed by Kaplan-Meier Plotter, an online survival analysis database. Results A total of 439 studies were included in the Oncomine database in multiple types of cancers. Of the 439 studies, there were 54 with statistical differences for the expression of FOLR1, 19 with increased expression of FOLR1 and 35 with decreased expression comparing ovarian cancer to normal ovary tissue. After searching the Oncomine database, six datasets were discovered comparing the mRNA expression in ovarian tumor to healthy tissue. FOLR1 mRNA expression in ovarian tumor was significantly higher than that of normal ovarian tissue (all p<0.05). The Kaplan-Meier Plotter database analyzed the correlation between FOLR1 expression and ovarian cancer patient’s prognosis. A significant difference of progression-free survival between FOLR1 high and low expressing groups was found in ovarian cancer patients (HR=1.14, 95%CI: 1.00-1.29, p=0.043). However, the overall survival was not statistically different between high and low FOLR1 expressing patients (HR=0.95, 95%CI: 0.84-1.09, p=0.48). Conclusion FOLR1 mRNA was found to be highly expressed in ovarian tumor compared to normal ovarian tissue. Elevated FOLR1 mRNA expression was associated with the poor progression-free survival.

Gasdermin C as a potential prognostic biomarker and its correlation with immune infiltration in pancreatic ductal adenocarcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16256-e16256
Author(s):  
Xianghou Xia ◽  
Yang Yu ◽  
Hongjian Yang ◽  
Dehong Zou ◽  
Canming Wang ◽  
...  
Keyword(s):  
Pancreatic Ductal Adenocarcinoma ◽  
Cancer Cells ◽  
Prognostic Value ◽  
Immune Cell ◽  
Prognostic Significance ◽  
High Expression ◽  
Ductal Adenocarcinoma ◽  
Immune Infiltration ◽  
Kaplan Meier ◽  
Kaplan Meier Plotter

e16256 Background: Although pyroptosis is critical for macrophages against pathogen infection, its role in cancer cells remains elusive. GSDMC is a pyroptosis executioner newly identified in cancer cells and have been shown to facilitate inflammatory tumor death. However, the expression of GSDMC in Pancreatic Ductal Adenocarcinoma (PDAC), its prognostic significance and possible impact on reshaping tumor immune microenviroment in PDAC is still unknown. Methods: We investigated the expression level of GSDMC using TNM plotter with TCGA and GTEx databases, the prognostic value of GSDMC in PDAC using Kaplan-Meier plotter with TCGA, GTEx and TCGA databases. The correlations between GSDMC and immune infiltration in PDAC were calculated using TIMER2.0 and TIDE with TCGA database. We further validated the prognostic value of GSDMC with immunohistochemistry(IHC) staining on a tissue microarray of 172 cases of PDAC patients receiving treatment in our institution. Correlations between expression of GSDMC and tumor infiltration lymphacytes(TILs) cells were also analyzed on tissue samples of those 172 PDAC patients. Results: TNM plotter analysis shows that the expression of GSDMC in PDAC tumor tissue is 10.49 folds higher than it is in pancreatic normal tissues (p = 8.86*e-56). Results from Kaplan-Meier plotter analysis shows high expression of GSDMC is significantly correlated with poorer overall survival(OS), HR = 1.8(1.19−2.71) logrank P = 0.004 and shorter relapse free survival (RFS), HR = 4.6(1.94−10.88), Logrank P = 0.00014 in PDAC. Analysis with TIMER2.0 and TIDE platform shows that expression of GSDMC is positively correlated with immunosuppressive cells, Cancer Associated Fiberblast (CAF) and Meyloid Derived Tumor Suprresso Cells(MDTSC). IHC staining analysis results is also consistent with aformentioned bioinformatic analysis, showing that high GSDMC expression correlated with shorter OS and reduced Tils infiltration. Conclusions: Our findings suggest that high expression of GSDMC is related to poor prognosis and compromised immune cell infiltration in PDAC. GSDMC holds promise for serving as a valuable prognostic marker and therapeutic target in PDAC.

mRNA expression levels of the biological factors uPAR, uPAR-del4/5, and rab31, displaying prognostic value in breast cancer, are not clinically relevant in advanced ovarian cancer

2011 ◽  
Vol 392 (11) ◽  
Author(s):  
Matthias Kotzsch ◽  
Julia Dorn ◽  
Kristina Doetzer ◽  
Barbara Schmalfeldt ◽  
Janna Krol ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Ovarian Cancer ◽  
Mrna Expression ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Tumor Tissue ◽  
Advanced Ovarian Cancer ◽  
Biological Factors ◽  
Expression Levels ◽  
Mrna Expression Levels

Abstract High tumor tissue mRNA expression of the tumor biological factors uPAR, uPAR-del4/5, or rab31 is associated with shorter distant metastasis-free and overall survival in breast cancer patients. To evaluate whether these factors are also clinically relevant in ovarian cancer, we quantified the respective mRNA levels in primary tumor tissue of advanced ovarian cancer patients (n=103) and evaluated their association with clinicopathological parameters and patients’ prognosis. mRNA expression levels of all three markers did not show any significant association with overall or progression-free survival, demonstrating that these factors have no prognostic value in advanced ovarian cancer.

scholarly journals ACSL3 As a Potential Prognostic Biomarker in Patients With Breast Cancer

2021 ◽  
Author(s):  
Xiangyu Sun ◽  
Meng Li ◽  
Mozhi Wang ◽  
Mengshen Wang ◽  
Haoran Dong ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Potential Function ◽  
Prognostic Value ◽  
Prognostic Biomarker ◽  
Human Protein ◽  
Breast Cancer Patients ◽  
Kaplan Meier ◽  
Human Protein Atlas ◽  
Kaplan Meier Plotter

Abstract Objective: To explore the expression pattern of long chain fatty acyl CoA synthetase 3 (ACSL3) in breast cancer, and evaluate the clinical significance of ACSL3 by analyzing potential function and prognostic value of ACSL3 in human breast carcinoma.Methods: The expression of ACSL3 in normal mammary tissues and breast tumor tissues was analyzed by GEPIA and Human Protein Atlas. The prognostic value of ACSL3 was evaluated by Kaplan–Meier plotter analysis. ACSL3 expression was analyzed by immunohistochemistry in 297 breast cancer patients from the First Hospital of China Medical University Furthermore, based on LinkedOmics database, analyses of GO and KEGG pathways were performed to identify the potential function of ACSL3. Tumor Immune Estimation Resource (TIMER) database was used to evaluate the association between ACSL3 and immune infiltration in breast cancer. Results: GEPIA and Human Protein Atlas indicated that ACSL3 was significantly upregulated in breast carcinomas. Kaplan-Meier plotter analysis showed that increased expression of ACSL3 mRNA was significantly associated with shorter overall survival (OS) and relapse-free survival (RFS) in breast cancer patients. Results from immunochemical staining showed that ACSL3 was obviously related to clinicopathological features of breast cancer, and ACSL3 was highly abundant in TNBC tumors. Moreover, survival analysis of breast cancer patients demonstrated that higher ACSL3 protein expression is unfavorable prognostic biomarker in breast cancer patients. Results from TIMER database indicated that ACSL3 expression was significantly correlated with infiltration level of multiple immune cells. Further studies are needed to explore underlying mechanism of the pro-tumor effects of ACSL3 expression.Conclusions: ACSL3 may not only serve as a reliable predictive biomarker of breast cancer but also have impact on the occurrence and progression of breast cancer. Thus, ACSL3 may be an emerging therapeutic target for the development of molecular-targeted therapeutic strategies for breast cancer.

scholarly journals The expression tendency and prognostic value of PDGFRβ in oral cancer

2020 ◽  
Author(s):  
Lili Wang ◽  
Hongguang Song ◽  
Shiming Yang
Keyword(s):  
Overall Survival ◽  
Oral Cancer ◽  
Mrna Expression ◽  
Cancer Patients ◽  
Prognostic Value ◽  
High Expression ◽  
Mrna Expression Level ◽  
Kaplan Meier ◽  
Oral Cancer Patients ◽  
Cancer Tissues

Abstract Background Oral cancer is a common malignant tumor in head and neck with poor prognosis. This study aimed to determine the expression tendency and prognostic value of PDGFRβ in oral cancer. Methods The mRNA expression level of PDGFRβ in the oral cancer tissues and adjacent normal tissues of oral cancer patients were detected by quantitative real-time polymerase chain reaction (qRT-PCR). And the association of PDGFRβ expression with clinicopathological characteristic was analyzed via chi-square test. Then we used Kaplan-Meier analysis to analyze the effects of PDGFRβ expression on the overall survival of oral cancer patients. The multivariate cox analysis was used to evaluate its prognostic value. Results The results indicated that the mRNA expression level of PDGFRβ was significantly increased in oral cancer tissues compared with that in the adjacent normal tissue ( P < 0.001). And its expression is positively associated with clinical stage, T stage, lymph node metastasis and histological grade. Kaplan-Meier analysis revealed that patients with high expression of PDGFRβ had markedly worse overall survival than those with low expression of PDGFRβ (log rank test, P < 0.05). Additionally, cox regression analysis revealed that the high expression of PDGFRβ was an independent prognostic maker in oral cancer patients. Conclusion PDGFRβ is up-regulated and involved in the development of oral cancer. Moreover, it could be an independent prognostic bio-marker for oral cancer.

scholarly journals Comprehensive analysis of LASS6 expression and prognostic value in ovarian cancer

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Jinshan Xing ◽  
Jingyan Yi
Keyword(s):  
Ovarian Cancer ◽  
Cluster Analysis ◽  
Calcium Ion ◽  
Poor Prognosis ◽  
Prognostic Value ◽  
Ppi Network ◽  
Transport Pathways ◽  
Kaplan Meier ◽  
And Cluster Analysis ◽  
Kaplan Meier Plotter

Abstract Background Ceramide plays an important role in the occurrence and development of tumor. The synthesis of ceramide needs the participation of LASS. Current studies have shown that different LASS family members play different functions in tumors, especially LASS6, has been proved to play a key role in breast cancer, gastric cancer, melanoma and so on, but the research on ovarian cancer is very limited. Methods Bioinformatics web resources, including Oncomine, UALCAN, Kaplan–Meier Plotter and TIMER were used to analyze the expression profile, prognostic value and immune infiltration of LASS6. The related genes of LASS6 in ovarian cancer were mined by Regulome Explorer and LinkedOmics database, and cluster analysis was done by DAVID. The PPI network involving LASS6 was constructed by STRING database. Finally, the correlation between 10 genes and LASS6 was analyzed by GEPIA database, and their prognostic value in ovarian cancer was analyzed by Kaplan–Meier plotter. Results The expression of LASS6 was up-regulated in ovarian cancer, which was related to the progression and poor prognosis of ovarian cancer. Through GO/KEGG cluster analysis, we also found that LASS6 may affect calcium ion channel and its transport pathways. The analysis of regulatory network involved in LASS6 showed that the high mRNAs of 7 key genes were associated with poor prognosis of OS in patients with ovarian cancer, among which DEGS1 was the most significant. Conclusions LASS6 may play an important role in the regulation of calcium pathway and become a new therapeutic target and potential prognostic marker in ovarian cancer.

USP48 Sustains Chemoresistance and Metastasis in Ovarian Cancer

2020 ◽  
Vol 20 (9) ◽  
pp. 689-699
Author(s):  
Xuemeng Lei ◽  
Xukun Li ◽  
Hongyan Chen ◽  
Zhihua Liu
Keyword(s):  
Ovarian Cancer ◽  
Cancer Patients ◽  
Migration And Invasion ◽  
Clinical Samples ◽  
Deubiquitinating Enzymes ◽  
Potential Therapeutic Target ◽  
Kaplan Meier ◽  
Specific Protease ◽  
Ubiquitin Specific Protease

Background: Ubiquitin specific protease 48 (USP48) is a member of the deubiquitinating enzymes (DUBs) family. However, the function of USP48 in ovarian cancer remains unclear. Objective: The present study reveals that USP48 knockdown could significantly inhibit cell migration and invasion in ES2, 3AO and A2780 cells, without affecting cell proliferation. Methods: After carboplatin (CBP) treatment, the USP48 ablation increases the apoptosis rate, and the cleaved PARP and cleaved caspase 3 expression levels in ES2, 3AO and A2780 cells. The subcutaneous tumor and intraperitoneally injected experiments demonstrated that the USP48 knockdown significantly increases responsiveness to CBP, and alleviates the metastasis in vivo. Meanwhile, USP48 deficiency results in the improved survival of mice. Results: Finally, the analysis of clinical samples and the TCGA and Kaplan-Meier Plot database revealed that the high expression of USP48 in ovarian cancer patients is associated with poor survival and resistance to CBP therapy. Conclusion: In summary, USP48 may be a potential therapeutic target for ovarian cancer patients.

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