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

作　　者：Yongqiang Zhang Zhao Yang Yuqin Tang Chengbin Guo Danni Lin d Linling Cheng Xun Hu Kang Zhang Gen Li 

机构地区：[1]West China School of Medicine,West China Hospital,Sichuan University,Chengdu,Sichuan 610041,China [2]Guangzhou Women and Children’s Medical Center,Guangzhou Medical University,Guangzhou,Guangdong 510620,China [3]State Key Laboratory of Southwestern Chinese Medicine Resources,School of Basic Medical Sciences,Chengdu University of Traditional Chinese Medicine,Chengdu,Sichuan 611137,China [4]Center for Biomedicine and Innovations,Faculty of Medicine,Macao University of Science and Technology,Macao 999078,China [5]Clinical Research Center,The Second Affiliated Hospital,School of Medicine,Zhejiang University,Hangzhou,Zhejiang 310003,China [6]Biorepository,State Key Laboratory of Biotherapy,West China Hospital,Sichuan University,Chengdu,Sichuan 610041,China

出　　处：《Genes & Diseases》2023年第4期1657-1674,共18页基因与疾病（英文）

摘　　要：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 stageⅠ-Ⅲpatients was divided into the learning(n Z 678)and validation datasets(n Z 348).The former was used to establish a 16-mRNA risk signature for recurrence prediction with multiple statistical algorithms,which was verified in the valida-tion 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 compre-hensively analyzed.Remarkably,the classifier was tightly linked to immune infiltrations,high-lighting 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 regulato-ry proteineprotein interaction network(TF-PPI-network)was constructed via weighted gene co-expression network analysis(WGCNA)concerning the hub genes of the signature.The con-structed multidimensional nomogram dramatically increased the predictive accuracy.There-fore,our signature provides a forceful basis for individualized LUAD management with promising potential implications.

关 键 词：Immune infiltration Lung adenocarcinoma NOMOGRAM RECURRENCE Risk signature 

分 类 号：R73[医药卫生—肿瘤]