Identification of an immune-related genes signature in lung adenocarcinoma to predict survival and response to immune checkpoint inhibitors

The combination of these 9-IRGs not only could efficiently predict overall survival of LUAD patients but also show a powerful association with the expression of immune checkpoints and response to ICIs based on IPS; hoping this model paves the way for better stratification and management of patients in clinical practice.

Authors

Institutions

Publication Details

Journal
Journal of the Egyptian National Cancer Institute
Published
2024-10-07
DOI
https://doi.org/10.1186/s43046-024-00236-0
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.13

Funders

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article

Identification of an immune-related genes signature in lung adenocarcinoma to predict survival and response to immune checkpoint inhibitors

Farideh Jafari‐Raddani, Davood Bashash, Shahram Kordasti, Zeinab Davoodi‐Moghaddam
4 citations
Journal of the Egyptian National Cancer Institute
Cancer Immunotherapy and Biomarkers
1.13
article

Identification of an immune-related genes signature in lung adenocarcinoma to predict survival and response to immune checkpoint inhibitors

Farideh Jafari‐Raddani, Davood Bashash, Shahram Kordasti, Zeinab Davoodi‐Moghaddam
article en
4 citations

Abstract

The combination of these 9-IRGs not only could efficiently predict overall survival of LUAD patients but also show a powerful association with the expression of immune checkpoints and response to ICIs based on IPS; hoping this model paves the way for better stratification and management of patients in clinical practice.

Journal of the Egyptian National Cancer InstituteVol. 36(1)
Guy's Hospital (GB), King's College London (GB), Shahid Beheshti University of Medical Sciences (IR)
King's College London, Shahid Beheshti University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 18%
Cancer Immunotherapy and Biomarkers
1.13
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