Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma

Yongqiang Zhang; Zhao Yang; Yuqin Tang; Chengbin Guo; Danni Lin; Linling Cheng; Xun Hu; Kang Zhang; Gen Li

doi:10.1016/j.gendis.2022.07.005

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Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma

Full-length article | 更新时间：2023-08-29

- Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma
- Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma
- Genes & Diseases 2023年10卷第4期
- 作者机构：
  
  1. Clinical Research Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University,Zhejiang,Hangzhou,China,310003
  2. State Key Laboratory of Southwestern Chinese Medicine Resources, School of Basic Medical Sciences, Chengdu University of Traditional Chinese Medicine,Sichuan,Chengdu,China,611137
  3. West China School of Medicine, West China Hospital, Sichuan University,Sichuan,Chengdu,China,610041
  4. Center for Biomedicine and Innovations, Faculty of Medicine, Macau University of Science and Technology, Macau,China,999078
  5. Biorepository, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University,Sichuan,Chengdu,China,610041
  6. Guangzhou Women and Children's Medical Center, Guangzhou Medical University,Guangdong,Guangzhou,China,510620
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gendis.2022.07.005
  中图分类号：
- 纸质出版日期：2023，
  
  网络出版日期：2023-7-1，
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Yongqiang Zhang, Zhao Yang, Yuqin Tang, 等. Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma[J]. Genes & Diseases, 2023,10(4).

Yongqiang Zhang, Zhao Yang, Yuqin Tang, et al. Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma[J]. Genes & Diseases, 2023,10(4).
Yongqiang Zhang, Zhao Yang, Yuqin Tang, 等. Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma[J]. Genes & Diseases, 2023,10(4). DOI： 10.1016/j.gendis.2022.07.005.

Yongqiang Zhang, Zhao Yang, Yuqin Tang, et al. Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I–III lung adenocarcinoma[J]. Genes & Diseases, 2023,10(4). DOI： 10.1016/j.gendis.2022.07.005.

摘要

Abstract

The high risk of postoperative mortality in lung adenocarcinoma (LUAD) patients is principally driven by cancer recurrence and low response rates to adjuvant treatment. Here

A combined cohort containing 1

026 stage I–III patients was divided into the learning (

= 678) and validation datasets (

= 348). The former was used to establish a 16-mRNA risk signature for recurrence prediction with multiple statistical algorithms

which was verified in the validation set. Univariate and multivariate analyses confirmed it as an independent indicator for both recurrence-free survival (RFS) and overall survival (OS). Distinct molecular characteristics between the two groups including genomic alterations

and hallmark pathways were comprehensively analyzed. Remarkably

the classifier was tightly linked to immune infiltrations

highlighting the critical role of immune surveillance in prolonging survival for LUAD. Moreover

the classifier was a valuable predictor for therapeutic responses in patients

and the low-risk group was more likely to yield clinical benefits from immunotherapy. A transcription factor regulatory protein–protein interaction network (TF-PPI-network) was constructed via weighted gene co-expression network analysis (WGCNA) concerning the hub genes of the signature. The constructed multidimensional nomogram dramatically increased the predictive accuracy. Therefore

our signature provides a forceful basis for individualized LUAD management with promising potential implications.

关键词

Keywords

Immune infiltrationLung adenocarcinomaNomogramRecurrenceRisk signature

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