In:
Frontiers in Oncology, Frontiers Media SA, Vol. 11 ( 2021-12-2)
Abstract:
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).
Type of Medium:
Online Resource
ISSN:
2234-943X
DOI:
10.3389/fonc.2021.733533
DOI:
10.3389/fonc.2021.733533.s001
DOI:
10.3389/fonc.2021.733533.s002
DOI:
10.3389/fonc.2021.733533.s003
DOI:
10.3389/fonc.2021.733533.s004
DOI:
10.3389/fonc.2021.733533.s005
DOI:
10.3389/fonc.2021.733533.s006
DOI:
10.3389/fonc.2021.733533.s007
DOI:
10.3389/fonc.2021.733533.s008
DOI:
10.3389/fonc.2021.733533.s009
DOI:
10.3389/fonc.2021.733533.s010
DOI:
10.3389/fonc.2021.733533.s011
DOI:
10.3389/fonc.2021.733533.s012
Language:
Unknown
Publisher:
Frontiers Media SA
Publication Date:
2021
detail.hit.zdb_id:
2649216-7
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