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SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer

Introduction: SRPX2 and RAB31 play important roles in tumorigenesis and metastasis; however, their prognostic value in pancreatic cancer remains unclear. This study aimed to investigate the potential interactions and effects of SRPX2 and RAB31 on the diagnosis and prognosis of pancreatic cancer. Met...

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Autores principales: Li, Hao, Zhang, Shi-Rong, Xu, Hua-Xiang, Wang, Wen-Quan, Li, Shuo, Li, Tian-Jiao, Ni, Quan-Xing, Yu, Xian-Jun, Liu, Liang, Wu, Chun-Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584922/
https://www.ncbi.nlm.nih.gov/pubmed/31258775
http://dx.doi.org/10.7150/jca.32072
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author Li, Hao
Zhang, Shi-Rong
Xu, Hua-Xiang
Wang, Wen-Quan
Li, Shuo
Li, Tian-Jiao
Ni, Quan-Xing
Yu, Xian-Jun
Liu, Liang
Wu, Chun-Tao
author_facet Li, Hao
Zhang, Shi-Rong
Xu, Hua-Xiang
Wang, Wen-Quan
Li, Shuo
Li, Tian-Jiao
Ni, Quan-Xing
Yu, Xian-Jun
Liu, Liang
Wu, Chun-Tao
author_sort Li, Hao
collection PubMed
description Introduction: SRPX2 and RAB31 play important roles in tumorigenesis and metastasis; however, their prognostic value in pancreatic cancer remains unclear. This study aimed to investigate the potential interactions and effects of SRPX2 and RAB31 on the diagnosis and prognosis of pancreatic cancer. Methods: The expression of SRPX2 and RAB31 in pancreatic tumor tissues and cells was evaluated through database mining of the Oncomine, Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, and validated the results through immunohistochemistry (IHC) and Western blot in our clinical database. Protein-protein interactions were explored by immunofluorescence and Co-immunoprecipitation (Co-IP). Two hundred tissue microarray specimens from patients (79 training and 121 validation), who underwent curative pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) were used. Additionally, the association between the SRPX2 and RAB31 and prognosis of PDAC patients after surgery was analyzed. Results: The expression of SRPX2 and RAB31 was highly increased in pancreatic cancer, and there was a significant positive correlation between these two proteins. Co-IP showed the direct interaction between SRPX2 and RAB31. Kaplan-Meier analysis showed that positive expression of SRPX2 and RAB31 was associated with reduced disease-free survival (DFS) and overall survival (OS) of PDAC patients in the training set and the validation sets. Furthermore, multivariate analysis indicated that the 8(th) edition TNM stage and combination of SRPX2 and RAB31 were independent prognostic factors that associated with OS and DFS in the training, and the validation sets, respectively. Conclusions: The combination of SRPX2 and RAB31 can be important markers for the prognosis of pancreatic cancer.
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spelling pubmed-65849222019-06-28 SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer Li, Hao Zhang, Shi-Rong Xu, Hua-Xiang Wang, Wen-Quan Li, Shuo Li, Tian-Jiao Ni, Quan-Xing Yu, Xian-Jun Liu, Liang Wu, Chun-Tao J Cancer Research Paper Introduction: SRPX2 and RAB31 play important roles in tumorigenesis and metastasis; however, their prognostic value in pancreatic cancer remains unclear. This study aimed to investigate the potential interactions and effects of SRPX2 and RAB31 on the diagnosis and prognosis of pancreatic cancer. Methods: The expression of SRPX2 and RAB31 in pancreatic tumor tissues and cells was evaluated through database mining of the Oncomine, Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, and validated the results through immunohistochemistry (IHC) and Western blot in our clinical database. Protein-protein interactions were explored by immunofluorescence and Co-immunoprecipitation (Co-IP). Two hundred tissue microarray specimens from patients (79 training and 121 validation), who underwent curative pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) were used. Additionally, the association between the SRPX2 and RAB31 and prognosis of PDAC patients after surgery was analyzed. Results: The expression of SRPX2 and RAB31 was highly increased in pancreatic cancer, and there was a significant positive correlation between these two proteins. Co-IP showed the direct interaction between SRPX2 and RAB31. Kaplan-Meier analysis showed that positive expression of SRPX2 and RAB31 was associated with reduced disease-free survival (DFS) and overall survival (OS) of PDAC patients in the training set and the validation sets. Furthermore, multivariate analysis indicated that the 8(th) edition TNM stage and combination of SRPX2 and RAB31 were independent prognostic factors that associated with OS and DFS in the training, and the validation sets, respectively. Conclusions: The combination of SRPX2 and RAB31 can be important markers for the prognosis of pancreatic cancer. Ivyspring International Publisher 2019-06-02 /pmc/articles/PMC6584922/ /pubmed/31258775 http://dx.doi.org/10.7150/jca.32072 Text en © Ivyspring International Publisher This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Li, Hao
Zhang, Shi-Rong
Xu, Hua-Xiang
Wang, Wen-Quan
Li, Shuo
Li, Tian-Jiao
Ni, Quan-Xing
Yu, Xian-Jun
Liu, Liang
Wu, Chun-Tao
SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title_full SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title_fullStr SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title_full_unstemmed SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title_short SRPX2 and RAB31 are effective prognostic biomarkers in pancreatic cancer
title_sort srpx2 and rab31 are effective prognostic biomarkers in pancreatic cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6584922/
https://www.ncbi.nlm.nih.gov/pubmed/31258775
http://dx.doi.org/10.7150/jca.32072
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