腺样囊性癌
病态的
生物
转录组
激光捕获显微切割
恶性肿瘤
显微解剖
腺样体
病理
转移
基因
DNA测序
融合基因
拷贝数变化
基因组
癌症
RNA序列
癌
大规模并行测序
基因组学
计算生物学
生物信息学
突变
癌症研究
微阵列
蛋白质基因组学
外显子组测序
作者
L. Liu,Y. Zhang,Hao,Y. Lou,L. Liu,Z. Zhou,Y. Cui,J. Bai,J. Zhang,J. Wang,C-X Zhou,T. Li
标识
DOI:10.1177/00220345261416398
摘要
= 723) to obtain the genome and transcriptome profile, including copy number variation (CNV) type, gene fusion, and transcriptional expression. We found that CNV and gene fusion patterns differed among the 3 pathological subtypes and correlated with clinical outcome. We also found a mutually exclusive relationship between MYBL1::NFIB fusion and 6q-loss, and they displayed distinct different transcriptional profiles. We discovered that molecular markers 6q-loss and 14q-loss were strongly associated with poor prognosis in ACC. Patients with 6q-loss or 14q-loss had a higher risk of tumor metastasis and recurrence, whereas MYB::NFIB and MYBL1::NFIB fusions showed no adverse prognostic impact. Based on these findings, we propose a new CNV-based molecular classification that stratifies patients into the subgroups of 6q-loss, 14q-loss, and others. The molecular classification method increased the prognostic accuracy from 74.49% (the pathological method) to now 82.65%, especially in cribriform patients (increased from 64% to 80%). Fluorescence in situ hybridization-based detection of 6q-loss and 14q-loss by probe ESR1-6q25 and FOS-14q24 provided a rapid and clinically feasible validation in ACC prognostic assessment. Further multicohort and multifactor analysis demonstrated the robustness and independence of the prognostic value in overall survival and metastasis-free survival of the molecular classification method.
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