scholarly journals High expression of Ras‐specific guanine nucleotide‐releasing factor 2 (RasGRF2) in lung adenocarcinoma is associated with tumor invasion and poor prognosis

2021 ◽  
Vol 71 (4) ◽  
pp. 255-260
Author(s):  
Tomoki Nakagawa ◽  
YunJung Kim ◽  
Junko Kano ◽  
Yoshihiko Murata ◽  
Zeinab Kosibaty ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Tumor Invasion ◽  
Poor Prognosis ◽  
High Expression ◽  
Guanine Nucleotide

scholarly journals The Correlation Between SPP1 and Immune Escape of EGFR Mutant Lung Adenocarcinoma Was Explored by Bioinformatics Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Yi Zheng ◽  
Shiying Hao ◽  
Cheng Xiang ◽  
Yaguang Han ◽  
Yanhong Shang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Poor Prognosis ◽  
Egfr Mutation ◽  
Cox Regression ◽  
Checkpoint Inhibitors ◽  
High Expression ◽  
Wild Type ◽  
Cox Regression Analysis ◽  
High Expression Group ◽  
Mutant Egfr

BackgroundImmune checkpoint inhibitors have achieved breakthrough efficacy in treating lung adenocarcinoma (LUAD) with wild-type epidermal growth factor receptor (EGFR), leading to the revision of the treatment guidelines. However, most patients with EGFR mutation are resistant to immunotherapy. It is particularly important to study the differences in tumor microenvironment (TME) between patients with and without EGFR mutation. However, relevant research has not been reported. Our previous study showed that secreted phosphoprotein 1 (SPP1) promotes macrophage M2 polarization and PD-L1 expression in LUAD, which may influence response to immunotherapy. Here, we assessed the role of SPP1 in different populations and its effects on the TME.MethodsWe compared the expression of SPP1 in LUAD tumor and normal tissues, and in samples with wild-type and mutant EGFR. We also evaluated the influence of SPP1 on survival. The LUAD data sets were downloaded from TCGA and CPTAC databases. Clinicopathologic characteristics associated with overall survival in TCGA were assessed using Cox regression analysis. GSEA revealed that several fundamental signaling pathways were enriched in the high SPP1 expression group. We applied CIBERSORT and xCell to calculate the proportion and abundance of tumor-infiltrating immune cells (TICs) in LUAD, and compared the differences in patients with high or low SPP1 expression and wild-type or mutant EGFR. In addition, we explored the correlation between SPP1 and CD276 for different groups.ResultsSPP1 expression was higher in LUAD tumor tissues and in people with EGFR mutation. High SPP1 expression was associated with poor prognosis. Univariate and multivariate cox analysis revealed that up-regulated SPP1 expression was independent indicator of poor prognosis. GSEA showed that the SPP1 high expression group was mainly enriched in immunosuppressed pathways. In the SPP1 high expression group, the infiltration of CD8+ T cells was lower and M2-type macrophages was higher. These results were also observed in patients with EGFR mutation. Furthermore, we found that the SPP1 expression was positively correlated with CD276, especially in patients with EGFR mutation.ConclusionSPP1 levels might be a useful marker of immunosuppression in patients with EGFR mutation, and could offer insight for therapeutics.

scholarly journals High expression of C-X-C chemokine receptor 4 and Notch1 is predictive of lymphovascular invasion and poor prognosis in lung adenocarcinoma

Tumor Biology ◽  
2017 ◽  
Vol 39 (6) ◽  
pp. 101042831770869 ◽  
Author(s):  
Zhuangzhuang Cong ◽  
Haiwei Wu ◽  
Zhong Guo ◽  
Tao Qin ◽  
Yang Xu ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Chemokine Receptor ◽  
Poor Prognosis ◽  
Lymphovascular Invasion ◽  
High Expression ◽  
Chemokine Receptor 4

scholarly journals High expression of RRM2 as an independent predictive factor of poor prognosis in patients with lung adenocarcinoma

Aging ◽  
2020 ◽  
Author(s):  
Cheng-Yu Jin ◽  
Liang Du ◽  
A-Han Nuerlan ◽  
Xiao-Lei Wang ◽  
Yong-Wei Yang ◽  
...  
Keyword(s):  
Lung Adenocarcinoma ◽  
Predictive Factor ◽  
Poor Prognosis ◽  
High Expression ◽  
Independent Predictive Factor
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