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Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools

BACKGROUND: Gastric cancer (GC) is one of the most commonly occuring gastrointestinal tumor types, and early diagnosis and operation have a notable effect on the prognosis of patients. Although certain markers, including HER2, VEGER-2, ERCC1 and Bcl-2, have been utilized in clinical practise to scre...

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Autores principales: Liu, Jiaxin, Liu, Zhao, Zhang, Xiaozhi, Gong, Tuotuo, Yao, Demao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416920/
https://www.ncbi.nlm.nih.gov/pubmed/30866865
http://dx.doi.org/10.1186/s12885-019-5406-x
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author Liu, Jiaxin
Liu, Zhao
Zhang, Xiaozhi
Gong, Tuotuo
Yao, Demao
author_facet Liu, Jiaxin
Liu, Zhao
Zhang, Xiaozhi
Gong, Tuotuo
Yao, Demao
author_sort Liu, Jiaxin
collection PubMed
description BACKGROUND: Gastric cancer (GC) is one of the most commonly occuring gastrointestinal tumor types, and early diagnosis and operation have a notable effect on the prognosis of patients. Although certain markers, including HER2, VEGER-2, ERCC1 and Bcl-2, have been utilized in clinical practise to screen out new patients with GC, the results of using these markers remains poor. The role of olfactomedin-like 2B (OLFML2B) in GC, as a member of the olfactomedin domain-containing proteins family, is remain unclear. METHODS: In the present study, we assessed the expression of OLFML2B, including mRNA and protein level, by using The Cancer Genome Atlas (TCGA) database and 13 pairs of clinical samples between GC and NG tissues. The correlation between expression of OLFML2B and prognosis of GC was evaculated by the Kaplan-Meier plotter and OncoLnc online tools. In addition, mechanism analysis of OLFML2B in GC was explored thought bioinformatic tools, including cBioPortal and FunRich software. RESULTS: In our study, the mRNA expression of OLFML2B in GC both TCGA database and clinical samples was consistently revealed to be significantly higher compared with that in NG tissues (P < 0.0001 for TCGA database and P = 0.0034 for clinical samples), and high OLFML2B expression was found in 9 (69.23%) of 13 clinical GC by immunohistochemistry and was positively correlated with the depth of tumor invasion and clinical stage (TNM). In addition, the AUC for a ROC of 0.867 indicated a moderate diagnostic ability of OLFML2B for GC. Survival analysis from the Kaplan-Meier plotter (P = 2.6 × 10(− 6)) and OncoLnc (P = 0.00276) revealed that the high expression of OLFML2B was associated with a short overall survival. Futhermore, 5% (24/478) alterations of OLFML2B were identified from cBioPortal, and among them, missense mutation (14/478) was the primary type. The results from FunRich revealed that OLFML2B participated in mediating multiple biological processes including cell growth and maintenance, regulation of the cell cycle, apoptosis and cell communication through multiple signaling pathways including the M/G1 transition pathway, post-translational protein modification and DNA replication pre-initiation. CONCLUSIONS: Taken together, it could be deduced that OLFML2B may act as an oncogene in the development of GC and the overexpression of OLFML2B in GC may be used as a novel diagnostic and prognostic target for GC.
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spelling pubmed-64169202019-03-25 Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools Liu, Jiaxin Liu, Zhao Zhang, Xiaozhi Gong, Tuotuo Yao, Demao BMC Cancer Research Article BACKGROUND: Gastric cancer (GC) is one of the most commonly occuring gastrointestinal tumor types, and early diagnosis and operation have a notable effect on the prognosis of patients. Although certain markers, including HER2, VEGER-2, ERCC1 and Bcl-2, have been utilized in clinical practise to screen out new patients with GC, the results of using these markers remains poor. The role of olfactomedin-like 2B (OLFML2B) in GC, as a member of the olfactomedin domain-containing proteins family, is remain unclear. METHODS: In the present study, we assessed the expression of OLFML2B, including mRNA and protein level, by using The Cancer Genome Atlas (TCGA) database and 13 pairs of clinical samples between GC and NG tissues. The correlation between expression of OLFML2B and prognosis of GC was evaculated by the Kaplan-Meier plotter and OncoLnc online tools. In addition, mechanism analysis of OLFML2B in GC was explored thought bioinformatic tools, including cBioPortal and FunRich software. RESULTS: In our study, the mRNA expression of OLFML2B in GC both TCGA database and clinical samples was consistently revealed to be significantly higher compared with that in NG tissues (P < 0.0001 for TCGA database and P = 0.0034 for clinical samples), and high OLFML2B expression was found in 9 (69.23%) of 13 clinical GC by immunohistochemistry and was positively correlated with the depth of tumor invasion and clinical stage (TNM). In addition, the AUC for a ROC of 0.867 indicated a moderate diagnostic ability of OLFML2B for GC. Survival analysis from the Kaplan-Meier plotter (P = 2.6 × 10(− 6)) and OncoLnc (P = 0.00276) revealed that the high expression of OLFML2B was associated with a short overall survival. Futhermore, 5% (24/478) alterations of OLFML2B were identified from cBioPortal, and among them, missense mutation (14/478) was the primary type. The results from FunRich revealed that OLFML2B participated in mediating multiple biological processes including cell growth and maintenance, regulation of the cell cycle, apoptosis and cell communication through multiple signaling pathways including the M/G1 transition pathway, post-translational protein modification and DNA replication pre-initiation. CONCLUSIONS: Taken together, it could be deduced that OLFML2B may act as an oncogene in the development of GC and the overexpression of OLFML2B in GC may be used as a novel diagnostic and prognostic target for GC. BioMed Central 2019-03-13 /pmc/articles/PMC6416920/ /pubmed/30866865 http://dx.doi.org/10.1186/s12885-019-5406-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liu, Jiaxin
Liu, Zhao
Zhang, Xiaozhi
Gong, Tuotuo
Yao, Demao
Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title_full Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title_fullStr Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title_full_unstemmed Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title_short Bioinformatic exploration of OLFML2B overexpression in gastric cancer base on multiple analyzing tools
title_sort bioinformatic exploration of olfml2b overexpression in gastric cancer base on multiple analyzing tools
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6416920/
https://www.ncbi.nlm.nih.gov/pubmed/30866865
http://dx.doi.org/10.1186/s12885-019-5406-x
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