A novel gene signature based on five glioblastoma stem-like cell relevant genes predicts the survival of primary glioblastoma

2018 ◽  
Vol 144 (3) ◽  
pp. 439-447 ◽  
Author(s):  
Ruichao Chai ◽  
Kenan Zhang ◽  
Kuanyu Wang ◽  
Guanzhang Li ◽  
Ruoyu Huang ◽  
...  
Keyword(s):  
Gene Signature ◽  
Primary Glioblastoma ◽  
Novel Gene

scholarly journals Development of a novel gene signature to predict prognosis and response to PD-1 blockade in clear cell renal cell carcinoma

2021 ◽  
Vol 10 (1) ◽  
pp. 1933332
Author(s):  
Xiaomao Yin ◽  
Zaoyu Wang ◽  
Jianfeng Wang ◽  
Yunze Xu ◽  
Wen Kong ◽  
...  
Keyword(s):  
Renal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Renal Cell ◽  
Clear Cell ◽  
Gene Signature ◽  
Cell Renal Cell Carcinoma ◽  
Novel Gene

scholarly journals Exploration of a Novel Prognostic Risk Signature and Its Effect on the Immune Response in Nasopharyngeal Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Shuang Zhao ◽  
Xin Dong ◽  
Xiaoguang Ni ◽  
Lin Li ◽  
Xin Lu ◽  
...  
Keyword(s):  
Immune Response ◽  
Nasopharyngeal Carcinoma ◽  
Risk Group ◽  
Progression Free Survival ◽  
Gene Signature ◽  
Metastatic Carcinoma ◽  
High Risk Group ◽  
Molecular Characteristics ◽  
Novel Gene ◽  
Kaplan Meier

Nasopharyngeal carcinoma (NPC) is a highly invasive and metastatic carcinoma with different molecular characteristics and clinical outcomes. In this work, we aimed to establish a novel gene signature that could predict the prognosis of NPC patients. A total of 13 significant genes between the recurrence/metastasis (RM) group and the no recurrence/metastasis (no-RM) group were identified by machine learning from RNA-Seq data including 60 NPC tumor biopsies. Based on these genes, a 4-mRNA signature (considering U2AF1L5, TMEM265, GLB1L and MLF1) was identified. Receiver operating characteristic (ROC) and Kaplan-Meier (K-M) analyses indicated that this signature had good prognostic value for NPC. The overall survival (OS) and progression-free survival (PFS) of the patients in the high-risk group were significantly shorter than those of the patients in the low-risk group (p = 0.00126 and p = 0.000059, respectively). The area under the ROC curve (AUC) values of the 4-mRNA signature were higher than those of T stage and N stage for OS (0.893 vs 0.619 and 0.582, respectively) and PFS (0.86 vs 0.538 and 0.622, respectively). Furthermore, the 4-mRNA signature was closely associated with cell proliferation and the immune response. The expression of GLB1L and TMEM265 was associated with the level of tumor-infiltrating immune cells (r > 0.4, p < 0.05). We have validated the model through measuring the expression levels of the 4-mRNA signature by qRT-PCR, in an independent cohort of NPC patients. Here, we report a novel gene signature that can serve as a new tool for predicting the prognosis of NPC patients.

Development of a novel gene signature in patients without Helicobacter pylori infection gastric cancer

2019 ◽  
Vol 121 (2) ◽  
pp. 1842-1854
Author(s):  
Xuemei Lv ◽  
Yanyun Zhao ◽  
Liwen Zhang ◽  
Shuqi Zhou ◽  
Bing Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Helicobacter Pylori ◽  
Gene Signature ◽  
Helicobacter Pylori Infection ◽  
Novel Gene

scholarly journals A novel gene signature predicts chemoradiotherapy efficacy and tumor immunity in high‐grade glioma

2020 ◽  
Vol 10 (5) ◽  
Author(s):  
Shengchao Xu ◽  
Lu Tang ◽  
Gan Dai ◽  
Chengke Luo ◽  
Zhixiong Liu
Keyword(s):  
Tumor Immunity ◽  
High Grade Glioma ◽  
Gene Signature ◽  
High Grade ◽  
Novel Gene

scholarly journals A novel gene signature combination improves the prediction of overall survival in urinary bladder cancer

2019 ◽  
Vol 10 (23) ◽  
pp. 5744-5753 ◽  
Author(s):  
Siteng Chen ◽  
Ning Zhang ◽  
Jialiang Shao ◽  
Tao Wang ◽  
Xiang Wang
Keyword(s):  
Overall Survival ◽  
Bladder Cancer ◽  
Urinary Bladder ◽  
Urinary Bladder Cancer ◽  
Gene Signature ◽  
Novel Gene

scholarly journals Identification of a novel gene signature for the prediction of recurrence in HCC patients by machine learning of genome-wide databases

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Jie Shen ◽  
Liang Qi ◽  
Zhengyun Zou ◽  
Juan Du ◽  
Weiwei Kong ◽  
...  
Keyword(s):  
Machine Learning ◽  
Gene Signature ◽  
Novel Gene ◽  
Genome Wide

scholarly journals Identification of a Novel Gene Signature of ES Cells Self-Renewal Fluctuation through System-Wide Analysis

PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e83235 ◽  
Author(s):  
Luigi Cerulo ◽  
Daniela Tagliaferri ◽  
Pina Marotta ◽  
Pietro Zoppoli ◽  
Filomena Russo ◽  
...  
Keyword(s):  
Es Cells ◽  
Gene Signature ◽  
Self Renewal ◽  
Novel Gene

scholarly journals Identification of prognostic genes and construction of a novel gene signature in the skin melanoma based on the tumor microenvironment

Medicine ◽  
2021 ◽  
Vol 100 (21) ◽  
pp. e26017
Author(s):  
Wang Yingjuan ◽  
Zhang Li ◽  
Cao Wei ◽  
Wang Xiaoyuan
Keyword(s):  
Tumor Microenvironment ◽  
Gene Signature ◽  
Skin Melanoma ◽  
Novel Gene
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