Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stageⅠ-Ⅲlung adenocarcinoma
作者机构：West China School of MedicineWest China HospitalSichuan UniversityChengduSichuan 610041China Guangzhou Women and Children’s Medical CenterGuangzhou Medical UniversityGuangzhouGuangdong 510620China State Key Laboratory of Southwestern Chinese Medicine ResourcesSchool of Basic Medical SciencesChengdu University of Traditional Chinese MedicineChengduSichuan 611137China Center for Biomedicine and InnovationsFaculty of MedicineMacao University of Science and TechnologyMacao 999078China Clinical Research CenterThe Second Affiliated HospitalSchool of MedicineZhejiang UniversityHangzhouZhejiang 310003China BiorepositoryState Key Laboratory of BiotherapyWest China HospitalSichuan UniversityChengduSichuan 610041China
出 版 物：《Genes & Diseases》 (基因与疾病(英文))
年 卷 期：2023年第10卷第4期
页 面：1657-1674页
核心收录：
学科分类：0710[理学-生物学] 1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Immune infiltration Lung adenocarcinoma Nomogram Recurrence Risk signature
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.
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