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

Animal Cells and Systems

Mihyang Ha¹  Hoim Jeong¹  Jong Seong Roh¹  Beomgu Lee¹  Sae-Ock Oh¹  Yun Hak Kim¹  Dongjun Lee¹  Dong Hyun Sohn¹  Myoung-Eun Han¹ 

[1] Pusan National University School of Medicine;

关键词: VNN3;    biomarker;    clear cell renal cell carcinoma;    TCGA;    ICGC;   

DOI  :  10.1080/19768354.2019.1583126

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown