Identify potential driver genes for PAX-FOXO1 fusion-negative rhabdomyosarcoma through frequent gene co-expression network mining

作者全名："Zhan, Xiaohui; Liu, Yusong; Jannu, Asha Jacob; Huang, Shaoyang; Ye, Bo; Wei, Wei; Pandya, Pankita H.; Ye, Xiufen; Pollok, Karen E.; Renbarger, Jamie L.; Huang, Kun; Zhang, Jie"

作者地址："[Zhan, Xiaohui; Ye, Bo; Wei, Wei] Chongqing Med Univ, Sch Basic Med, Dept Bioinformat, Chongqing, Peoples R China; [Liu, Yusong; Ye, Xiufen] Harbin Engn Univ, Coll Intelligent Syst Sci & Engn, Harbin, Peoples R China; [Jannu, Asha Jacob; Huang, Kun] Indiana Univ, Sch Med, Dept Biostat & Hlth Data Sci, Indianapolis, IN USA; [Huang, Shaoyang] Carmel High Sch, Indianapolis, IN USA; [Pandya, Pankita H.; Pollok, Karen E.; Renbarger, Jamie L.] Indiana Univ, Sch Med, Dept Pediat, Indianapolis, IN USA; [Zhang, Jie] Indiana Univ, Sch Med, Dept Med & Mol Genet, Indianapolis, IN 47405 USA"

通信作者："Zhang, J (通讯作者)，Indiana Univ, Sch Med, Dept Med & Mol Genet, Indianapolis, IN 47405 USA."

来源：FRONTIERS IN ONCOLOGY

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:000931195300001

JCR分区：Q2

影响因子：4.7

年份：2023

卷号：13

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：fusion-negative RMS (FN-RMS); fusion-positive RMS (FP-RMS); frequent co-expression network (fGCN); copy number alteration; upstream regulator

摘要："BackgroundRhabdomyosarcoma (RMS) is a soft tissue sarcoma usually originated from skeletal muscle. Currently, RMS classification based on PAX-FOXO1 fusion is widely adopted. However, compared to relatively clear understanding of the tumorigenesis in the fusion-positive RMS, little is known for that in fusion-negative RMS (FN-RMS). MethodsWe explored the molecular mechanisms and the driver genes of FN-RMS through frequent gene co-expression network mining (fGCN), differential copy number (CN) and differential expression analyses on multiple RMS transcriptomic datasets. ResultsWe obtained 50 fGCN modules, among which five are differentially expressed between different fusion status. A closer look showed 23% of Module 2 genes are concentrated on several cytobands of chromosome 8. Upstream regulators such as MYC, YAP1, TWIST1 were identified for the fGCN modules. Using in a separate dataset we confirmed that, comparing to FP-RMS, 59 Module 2 genes show consistent CN amplification and mRNA overexpression, among which 28 are on the identified chr8 cytobands. Such CN amplification and nearby MYC (also resides on one of the above cytobands) and other upstream regulators (YAP1, TWIST1) may work together to drive FN-RMS tumorigenesis and progression. Up to 43.1% downstream targets of Yap1 and 45.8% of the targets of Myc are differentially expressed in FN-RMS vs. normal comparisons, which also confirmed the driving force of these regulators. DiscussionWe discovered that copy number amplification of specific cytobands on chr8 and the upstream regulators MYC, YAP1 and TWIST1 work together to affect the downstream gene co-expression and promote FN-RMS tumorigenesis and progression. Our findings provide new insights for FN-RMS tumorigenesis and offer promising targets for precision therapy. Experimental investigation about the functions of identified potential drivers in FN-RMS are in progress."

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