Genome-Wide Analysis Revealed a Robust Gene Expression Signature to Identify Lymph Node Metastasis in Submucosal Colorectal Cancer

2017 ◽  
Vol 152 (5) ◽  
pp. S1018
Author(s):  
Raju Kandimalla ◽  
Tsuyoshi Ozawa ◽  
Feng Gao ◽  
Keisuke Hata ◽  
Hiroaki Nozawa ◽  
...  
2009 ◽  
Vol 52 (12) ◽  
pp. 1941-1948 ◽  
Author(s):  
Toshiaki Watanabe ◽  
Takashi Kobunai ◽  
Toshiaki Tanaka ◽  
Soichiro Ishihara ◽  
Keiji Matsuda ◽  
...  

Oral Oncology ◽  
2011 ◽  
Vol 47 ◽  
pp. S46
Author(s):  
F.K.J. Leusink ◽  
P.J. Slootweg ◽  
M.W.M. van den Brekel ◽  
R.J. Baatenburg de Jong ◽  
F.C.P. Holstege ◽  
...  

2021 ◽  
Vol 11 (2) ◽  
pp. 126
Author(s):  
Noshad Peyravian ◽  
Stefania Nobili ◽  
Zahra Pezeshkian ◽  
Meysam Olfatifar ◽  
Afshin Moradi ◽  
...  

This study aimed at building a prognostic signature based on a candidate gene panel whose expression may be associated with lymph node metastasis (LNM), thus potentially able to predict colorectal cancer (CRC) progression and patient survival. The mRNA expression levels of 20 candidate genes were evaluated by RT-qPCR in cancer and normal mucosa formalin-fixed paraffin-embedded (FFPE) tissues of CRC patients. Receiver operating characteristic curves were used to evaluate the prognosis performance of our model by calculating the area under the curve (AUC) values corresponding to stage and metastasis. A total of 100 FFPE primary tumor tissues from stage I–IV CRC patients were collected and analyzed. Among the 20 candidate genes we studied, only the expression levels of VANGL1 significantly varied between patients with and without LNMs (p = 0.02). Additionally, the AUC value of the 20-gene panel was found to have the highest predictive performance (i.e., AUC = 79.84%) for LNMs compared with that of two subpanels including 5 and 10 genes. According to our results, VANGL1 gene expression levels are able to estimate LNMs in different stages of CRC. After a proper validation in a wider case series, the evaluation of VANGL1 gene expression and that of the 20-gene panel signature could help in the future in the prediction of CRC progression.


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