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VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma

Although pathological observations provide approximate prognoses, it is difficult to achieve prognosis in patients with existing prognostic factors. Therefore, it is very important to find appropriate biomarkers to achieve accurate cancer prognosis. Renal cell carcinoma (RCC) has several subtypes, t...

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Autores principales: Ha, Mihyang, Jeong, Hoim, Roh, Jong Seong, Lee, Beomgu, Lee, Dongjun, Han, Myoung-Eun, Oh, Sae-Ock, Sohn, Dong Hyun, Kim, Yun Hak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440501/
https://www.ncbi.nlm.nih.gov/pubmed/30949398
http://dx.doi.org/10.1080/19768354.2019.1583126
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author Ha, Mihyang
Jeong, Hoim
Roh, Jong Seong
Lee, Beomgu
Lee, Dongjun
Han, Myoung-Eun
Oh, Sae-Ock
Sohn, Dong Hyun
Kim, Yun Hak
author_facet Ha, Mihyang
Jeong, Hoim
Roh, Jong Seong
Lee, Beomgu
Lee, Dongjun
Han, Myoung-Eun
Oh, Sae-Ock
Sohn, Dong Hyun
Kim, Yun Hak
author_sort Ha, Mihyang
collection PubMed
description Although pathological observations provide approximate prognoses, it is difficult to achieve prognosis in patients with existing prognostic factors. Therefore, it is very important to find appropriate biomarkers to achieve accurate cancer prognosis. Renal cell carcinoma (RCC) has several subtypes, the discrimination of which is crucial for proper treatment. Here, we present a novel biomarker, VNN3, which is used to prognose clear cell renal cell carcinoma (ccRCC), the most common and aggressive subtype of kidney cancer. Patient information analyzed in our study was extracted from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts. VNN3 expression was considerably higher in stages III and IV than in stages I and II. Moreover, Kaplan–Meier curves associated high VNN3 expression with poor prognoses (TCGA, p < .0001; ICGC, p = .00076), confirming that ccRCC prognosis can be predicted via VNN3 expression patterns. Consistent with all patient results, the prognosis of patients with higher VNN3 expression was worse in both low stage (I and II) and high stage (III and IV) (TCGA, p < 0.0001 in stage I and II; ICGC, p = 0.028 in stage I and II; TCGA, p = 0.005 in stage III and IV). Area under the curve and receiver operating characteristic curves supported our results that highlighted VNN3 expression as a suitable ccRCC biomarker. Multivariate analysis also verified the prognostic performance of VNN3 expression (TCGA, p < .001; ICGC, p = .017). Altogether, we suggest that VNN3 is applicable as a new biomarker to establish prognosis in patients with ccRCC.
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spelling pubmed-64405012019-04-04 VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma Ha, Mihyang Jeong, Hoim Roh, Jong Seong Lee, Beomgu Lee, Dongjun Han, Myoung-Eun Oh, Sae-Ock Sohn, Dong Hyun Kim, Yun Hak Anim Cells Syst (Seoul) Translational Medicine Although pathological observations provide approximate prognoses, it is difficult to achieve prognosis in patients with existing prognostic factors. Therefore, it is very important to find appropriate biomarkers to achieve accurate cancer prognosis. Renal cell carcinoma (RCC) has several subtypes, the discrimination of which is crucial for proper treatment. Here, we present a novel biomarker, VNN3, which is used to prognose clear cell renal cell carcinoma (ccRCC), the most common and aggressive subtype of kidney cancer. Patient information analyzed in our study was extracted from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) cohorts. VNN3 expression was considerably higher in stages III and IV than in stages I and II. Moreover, Kaplan–Meier curves associated high VNN3 expression with poor prognoses (TCGA, p < .0001; ICGC, p = .00076), confirming that ccRCC prognosis can be predicted via VNN3 expression patterns. Consistent with all patient results, the prognosis of patients with higher VNN3 expression was worse in both low stage (I and II) and high stage (III and IV) (TCGA, p < 0.0001 in stage I and II; ICGC, p = 0.028 in stage I and II; TCGA, p = 0.005 in stage III and IV). Area under the curve and receiver operating characteristic curves supported our results that highlighted VNN3 expression as a suitable ccRCC biomarker. Multivariate analysis also verified the prognostic performance of VNN3 expression (TCGA, p < .001; ICGC, p = .017). Altogether, we suggest that VNN3 is applicable as a new biomarker to establish prognosis in patients with ccRCC. Taylor & Francis 2019-03-01 /pmc/articles/PMC6440501/ /pubmed/30949398 http://dx.doi.org/10.1080/19768354.2019.1583126 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Translational Medicine
Ha, Mihyang
Jeong, Hoim
Roh, Jong Seong
Lee, Beomgu
Lee, Dongjun
Han, Myoung-Eun
Oh, Sae-Ock
Sohn, Dong Hyun
Kim, Yun Hak
VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title_full VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title_fullStr VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title_full_unstemmed VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title_short VNN3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
title_sort vnn3 is a potential novel biomarker for predicting prognosis in clear cell renal cell carcinoma
topic Translational Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6440501/
https://www.ncbi.nlm.nih.gov/pubmed/30949398
http://dx.doi.org/10.1080/19768354.2019.1583126
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