M1 macrophage-related gene model for NSCLC immunotherapy response prediction

Patients diagnosed with non-small cell lung cancer (NSCLC) have a limited lifespan and exhibit poor immunotherapy outcomes. M1 macrophages have been found to be essential for antitumor immunity. This study aims to develop an immunotherapy response evaluation model for NSCLC patients based on transcription. RNA sequencing profiles of 254 advanced-stage NSCLC patients treated with immunotherapy are downloaded from the POPLAR and OAK projects. Immune cell infiltration in NSCLC patients is examined, and thereafter, different coexpressed genes are identified. Next, the impact of M1 macrophage-related genes on the prognosis of NSCLC patients is investigated. Six M1 macrophage coexpressed genes, namely, NKX2-1, CD8A , SFTA3, IL2RB, IDO1, and CXCL9, exhibit a strong association with the prognosis of NSCLC and serve as effective predictors for immunotherapy response. A response model is constructed using a Cox regression model and Lasso Cox regression analysis. The M1 genes are validated in our TD-FOREKNOW NSCLC clinical trial by RT-qPCR. The response model shows excellent immunotherapy response prediction and prognosis evaluation value in advanced-stage NSCLC. This model can effectively predict advanced NSCLC prognosis and aid in identifying patients who could benefit from customized immunotherapy as well as sensitive drugs.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:56

Enthalten in:

Acta biochimica et biophysica Sinica - 56(2024), 3 vom: 25. März, Seite 379-392

Sprache:

Englisch

Beteiligte Personen:

Wu, Sifan [VerfasserIn]
Sheng, Qiqi [VerfasserIn]
Liu, Pengjun [VerfasserIn]
Jiao, Zhe [VerfasserIn]
Lv, Jinru [VerfasserIn]
Qiao, Rong [VerfasserIn]
Xie, Dongkun [VerfasserIn]
Wang, Zanhan [VerfasserIn]
Ge, Jiamei [VerfasserIn]
Li, Penghui [VerfasserIn]
Wei, Tiaoxia [VerfasserIn]
Lei, Jie [VerfasserIn]
Fan, Jieyi [VerfasserIn]
Wang, Liang [VerfasserIn]

Links:

Volltext

Themen:

Immune infiltration
Immunotherapy
Journal Article
M1 macrophage
NSCLC
Prognosis prediction model

Anmerkungen:

Date Completed 03.04.2024

Date Revised 10.04.2024

published: Print

Citation Status MEDLINE

doi:

10.3724/abbs.2023262

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368694372