OSpaad: An online tool to perform survival analysis by integrating gene expression profiling and long‐term follow‐up data of 1319 pancreatic carcinoma patients

Zhang, Guosen; Wang, Qiang; Yang, Mengsi; Yao, Xitong; Qi, Xinlei; An, Yang; Dong, H.; Zhang, Lu; Zhu, Wan; Li, Yongqiang; Guo, Xiangqian

doi:10.1002/mc.23154

Cited by 17 publications

(17 citation statements)

References 25 publications

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“…OSucs can be accessed at . The system architecture flow diagram is as described in previous reports [ 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 ], and a screenshot of the web server interface is presented in Figure 1 .…”

Section: Methodsmentioning

confidence: 99%

OSucs: An Online Prognostic Biomarker Analysis Tool for Uterine Carcinosarcoma

Wang

Sun

et al. 2020

Genes

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Background: Uterine carcinosarcoma (UCS) is a type of rare and aggressive tumor. The standard treatment for UCS involves surgical treatment followed by radiochemotherapy. Clinical outcomes of UCS patients are poor due to high metastasis and relapse rate. Therefore, new targeted therapy strategies for UCS are needed. Because UCS is highly heterogenous, it is critical to identify and develop prognostic biomarkers to distinguish molecular subtypes of UCS for better treatment guidance. Methods: Using gene expression profiles and clinical follow-up data, we developed an online consensus survival analysis tool named OSucs. This web tool allows researchers to conveniently analyze the prognostic abilities of candidate genes in UCS. Results: To test the reliability of this server, we analyzed five previously reported prognostic biomarkers, all of which showed significant prognostic impacts. In addition, ETV4 (ETS variant transcription factor 4), ANGPTL4 (Angiopoietin-like protein 4), HIST1H1C (Histone cluster 1 H1 family member c) and CTSV (Cathepsin V) showed prognostic potential in a molecular subtype-specific manner. Conclusion: We built a platform for researchers to analyze if genes have prognostic potentials in UCS.

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Section: Methodsmentioning

confidence: 99%

OSucs: An Online Prognostic Biomarker Analysis Tool for Uterine Carcinosarcoma

Wang

Sun

et al. 2020

Genes

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“…Besides, the prognostic value of TRIM44 in the specific type of cancer was explored by some online OS analysis webservers, including OSgbm for glioblastoma [16], OSpaad for pancreatic carcinoma [17], OSbrca for breast cancer [18], OSacc for adrenocortical carcinoma [19], OSuvm for uveal melanoma [20], OScc for cervical cancer [21], OSkirc for kidney renal clear cell carcinoma [22], OSescc for esophageal squamous cell carcinoma [23], OSblca for bladder cancer [24], OSlms for leiomyosarcoma [25].…”

Section: Public Data and Toolsmentioning

confidence: 99%

Expression of tripartite motif-containing 44 and its prognostic and clinicopathological value in human malignancies:a meta-analysis

et al. 2020

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Background: Previous researches have reported that tripartite motif-containing 44 (TRIM44) is related to the prognosis of multiple human tumors. This study was designed to systematically assess the prognostic value of TRIM44 in human malignancies and summarize its possible tumor-related mechanisms. Methods: The available databases were searched for eligible studies that evaluated the clinicopathological and prognostic roles of TRIM44 in patients with malignancies. The hazard ratios (HR) and odds ratios (OR) were combined to assess the predictive role of TRIM44 using Stata/SE 14.1 software. Results: A total of 1740 patients from thirteen original studies were finally included in this study. The results of the combined analysis showed that over-expression of TRIM44 protein was significantly correlated with shorter overall survival (OS) (HR = 1.94, 95% CI: 1.60-2.35) and worse disease-free survival (DFS) (HR = 2.13, 95% CI: 1.24-3.65) in cancer patients. Additionally, the combined ORs indicated that elevated expression level of TRIM44 protein was significantly associated with lymph node metastasis (OR = 2.69, 95% CI: 1.71-4.24), distant metastasis (OR = 10.35, 95% CI: 1.01-106.24), poor tumor differentiation (OR = 1.78, 95% CI: 1.03-3.09), increased depth of tumor invasion (OR = 2.72, 95% CI: 1.73-4.30), advanced clinical stage (OR = 2.75, 95% CI: 2.04-3.71), and recurrence (OR = 2.30, 95% CI: 1.34-3.95). Furthermore, analysis results using Gene Expression Profiling Interactive Analysis (GEPIA) showed that the expression level of TRIM44 mRNA was higher in most tumor tissues than in the corresponding normal tissues, and the relationship between TRIM44 mRNA level and prognosis in various malignant tumors also explored in GEPIA and OS analysis webservers. Conclusions: TRIM44 may serve as a valuable prognostic biomarker and a potential therapeutic target for patients with malignancies.

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“…e relationship between the expression of TXLNA and survival terms, including overall survival (OS), disease-free interval (DFI), disease specific survival (DSS), and progression-free interval (PFI), in 542 PAAD patients was determined by the prognosis analysis web server LOGpc [14] (Long-term Outcome and Gene Expression Profiling Database of pan-cancers, http://bioinfo. henu.edu.cn/DatabaseList.jsp) using TCGA and ICGA_Seq as we previously reported [15].…”

Section: Prognosis Analysismentioning

confidence: 99%

“…e TXLNA was also named interleukin 14 (IL- 14), and its alternative gene name was designated as TXLNA or IL14 in the NCBI. e function of TXLNA was identified as a key factor in the coordination of intracellular vesicle trafficking [6].…”

Section: Introductionmentioning

confidence: 99%

High TXLNA Expression Predicts Favourable Outcome for Pancreatic Adenocarcinoma Patients

Zhang

Xie

et al. 2020

BioMed Research International

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TXLNA (taxilin alpha), a binding partner of the syntaxin family, was identified as a key factor in the coordination of intracellular vesicle trafficking and highly expressed in various tumor cells. However, the accurate relation between TXLNA and tumorigenesis and progression of pancreatic adenocarcinoma (PAAD) is still unclear. The present study was designed to examine the expression profile of TXLNA and explore its prognostic significance in PAAD patients and the possible molecular regulatory mechanism by analyzing a series of data from databases, including GEPIA, LOGpc, STRING, and GeneMANIA. The results indicate that TXLNA mRNA and protein were remarkably increased in PAAD tissues compared with normal pancreatic tissues. The high TXLNA expression was significantly correlated with superior overall survival (OS), disease-free interval (DFI), disease specific survival (DSS), and progression-free interval (PFI) for PAAD patients. In summary, high TXLNA expression could predict favourable OS, DFI, DSS, and PFI for PAAD patients, and it might be as potential prognostic biomarkers and targets for PAAD.

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OSpaad: An online tool to perform survival analysis by integrating gene expression profiling and long‐term follow‐up data of 1319 pancreatic carcinoma patients

Cited by 17 publications

References 25 publications

OSucs: An Online Prognostic Biomarker Analysis Tool for Uterine Carcinosarcoma

OSucs: An Online Prognostic Biomarker Analysis Tool for Uterine Carcinosarcoma

Expression of tripartite motif-containing 44 and its prognostic and clinicopathological value in human malignancies:a meta-analysis

High TXLNA Expression Predicts Favourable Outcome for Pancreatic Adenocarcinoma Patients

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