GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response
Lung cancer is one of the most common and mortal malignancies, usually with a poor prognosis in its advanced or recurrent stages. Recently, immune checkpoint inhibitors (ICIs) immunotherapy has revolutionized the treatment of human cancers including lung adenocarcinoma (LUAD), and significantly impr...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:4a97346112594053aa9bd0069a3294fe2021-12-02T05:53:05ZGDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response2234-943X10.3389/fonc.2021.733533https://doaj.org/article/4a97346112594053aa9bd0069a3294fe2021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fonc.2021.733533/fullhttps://doaj.org/toc/2234-943XLung cancer is one of the most common and mortal malignancies, usually with a poor prognosis in its advanced or recurrent stages. Recently, immune checkpoint inhibitors (ICIs) immunotherapy has revolutionized the treatment of human cancers including lung adenocarcinoma (LUAD), and significantly improved patients’ prognoses. However, the prognostic and predictive outcomes differ because of tumor heterogeneity. Here, we present an effective method, GDPLichi (Genes of DNA damage repair to predict LUAD immune checkpoint inhibitors response), as the signature to predict the LUAD patient’s response to the ICIs. GDPLichi utilized only 7 maker genes from 8 DDR pathways to construct the predictive model and classified LUAD patients into two subgroups: low- and high-risk groups. The high-risk group was featured by worse prognosis and decreased B cells, CD8+ T cells, CD8+ central memory T cells, hematopoietic stem cells (HSC), myeloid dendritic cells (MDC), and immune scores as compared to the low-risk group. However, our research also suggests that the high-risk group was more sensitive to ICIs, which might be explained by increased TMB, neoantigen, immune checkpoint molecules, and immune suppression genes’ expression, but lower TIDE score as compared to the low-risk group. This conclusion was verified in three other LUAD cohort datasets (GSE30219, GSE31210, GSE50081).Yang LengShiying DangFei YinTianshun GaoXing XiaoYi ZhangLin ChenChangfei QinNannan LaiXiao-Yong ZhanKe HuangChuanming LuoYang KangNan WangYun LiYuhong LiangBihui HuangFrontiers Media S.A.articleDNA damage repair (DDR)immune check inhibitor (ICI)GDPLichilung adenocarcinomagene classifierNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENFrontiers in Oncology, Vol 11 (2021) |
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DNA damage repair (DDR) immune check inhibitor (ICI) GDPLichi lung adenocarcinoma gene classifier Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
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DNA damage repair (DDR) immune check inhibitor (ICI) GDPLichi lung adenocarcinoma gene classifier Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Yang Leng Shiying Dang Fei Yin Tianshun Gao Xing Xiao Yi Zhang Lin Chen Changfei Qin Nannan Lai Xiao-Yong Zhan Ke Huang Chuanming Luo Yang Kang Nan Wang Yun Li Yuhong Liang Bihui Huang GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
description |
Lung cancer is one of the most common and mortal malignancies, usually with a poor prognosis in its advanced or recurrent stages. Recently, immune checkpoint inhibitors (ICIs) immunotherapy has revolutionized the treatment of human cancers including lung adenocarcinoma (LUAD), and significantly improved patients’ prognoses. However, the prognostic and predictive outcomes differ because of tumor heterogeneity. Here, we present an effective method, GDPLichi (Genes of DNA damage repair to predict LUAD immune checkpoint inhibitors response), as the signature to predict the LUAD patient’s response to the ICIs. GDPLichi utilized only 7 maker genes from 8 DDR pathways to construct the predictive model and classified LUAD patients into two subgroups: low- and high-risk groups. The high-risk group was featured by worse prognosis and decreased B cells, CD8+ T cells, CD8+ central memory T cells, hematopoietic stem cells (HSC), myeloid dendritic cells (MDC), and immune scores as compared to the low-risk group. However, our research also suggests that the high-risk group was more sensitive to ICIs, which might be explained by increased TMB, neoantigen, immune checkpoint molecules, and immune suppression genes’ expression, but lower TIDE score as compared to the low-risk group. This conclusion was verified in three other LUAD cohort datasets (GSE30219, GSE31210, GSE50081). |
format |
article |
author |
Yang Leng Shiying Dang Fei Yin Tianshun Gao Xing Xiao Yi Zhang Lin Chen Changfei Qin Nannan Lai Xiao-Yong Zhan Ke Huang Chuanming Luo Yang Kang Nan Wang Yun Li Yuhong Liang Bihui Huang |
author_facet |
Yang Leng Shiying Dang Fei Yin Tianshun Gao Xing Xiao Yi Zhang Lin Chen Changfei Qin Nannan Lai Xiao-Yong Zhan Ke Huang Chuanming Luo Yang Kang Nan Wang Yun Li Yuhong Liang Bihui Huang |
author_sort |
Yang Leng |
title |
GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
title_short |
GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
title_full |
GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
title_fullStr |
GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
title_full_unstemmed |
GDPLichi: a DNA Damage Repair-Related Gene Classifier for Predicting Lung Adenocarcinoma Immune Checkpoint Inhibitors Response |
title_sort |
gdplichi: a dna damage repair-related gene classifier for predicting lung adenocarcinoma immune checkpoint inhibitors response |
publisher |
Frontiers Media S.A. |
publishDate |
2021 |
url |
https://doaj.org/article/4a97346112594053aa9bd0069a3294fe |
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