A Novel Prognostic Model of Early-Stage Lung Adenocarcinoma Integrating Methylation and Immune Biomarkers.
A Novel Prognostic Model of Early-Stage Lung Adenocarcinoma Integrating Methylation and Immune Biomarkers.
复制标题
整合甲基化和免疫生物标志物的早期肺腺癌的新预后模型
DOI:
10.3389/fgene.2020.634634
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发表时间:
2020
影响因子:
3.7
通讯作者:
Zhang M
中科院分区:
文献类型:
--
作者:
Ren J;Yang Y;Li C;Xie L;Hu R;Qin X;Zhang M
Lung adenocarcinoma (LUAD) is caused by multiple biological factors. Therefore, it will be more meaningful to study the prognosis from the perspective of omics integration. Given the significance of epigenetic modification and immunity in tumorigenesis and development, we tried to combine aberrant methylation and tumor infiltration CD8 T cell-related genes to build a prognostic model, to explore the key biomarkers of early-stage LUAD. On the basis of RNA-seq and methylation microarray data downloaded from The Cancer Genome Atlas (TCGA), differentially expressed genes and aberrant methylated genes were calculated with “DEseq2” and “ChAMP” packages, respectively. A Chi-square test was performed to obtain methylation driver genes. Weighted correlation network analysis (WGCNA) was utilized to mine cancer biomarkers related to CD8 T cells. With the consequences of univariate Cox proportional hazards analysis and least absolute shrinkage and selection operator (LASSO) COX regression analysis, the prognostic index based on 17 methylation driver genes (ZNF677, FAM83A, TRIM58, CLDN6, NKD1, NFE2L3, FKBP5, ITGA5, ASCL2, SLC24A4, WNT3A, TMEM171, PTPRH, ITPKB, ITGA2, SLC6A17, and CCDC81) and four CD8 T cell-related genes (SPDL1, E2F7, TK1, and TYMS) was successfully established, which could make valuable predictions for the survival risk of patients with early-stage LUAD.
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影响因子:
64.8
作者:
通讯作者:
--
影响因子:
3
作者:
Langfelder P;Horvath S
通讯作者:
Horvath S
影响因子:
8.8
作者:
通讯作者:
--
DOI:
10.1073/pnas.1720948115
发表时间:
2018-04-24
影响因子:
11.1
作者:
Peranzoni E;Lemoine J;Vimeux L;Feuillet V;Barrin S;Kantari-Mimoun C;Bercovici N;Guérin M;Biton J;Ouakrim H;Régnier F;Lupo A;Alifano M;Damotte D;Donnadieu E
通讯作者:
Donnadieu E
影响因子:
45.3
作者:
Pignon, Jean-Pierre;Tribodet, Helene;Le Chevalier, Thierry
通讯作者:
Le Chevalier, Thierry