Changzheng Wang

Dr. Changzheng Wang

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
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CWChangzheng Wang
Changzheng Wang
HLHan Liang
Han Liang
CLCong Lin
Cong Lin
FLFuqiang Li
Fuqiang Li
GXGuoyun Xie
Guoyun Xie
XZXiuqing Zhang
Xiuqing Zhang
The distinct molecular subtypes of lung cancer are defined by monogenic biomarkers, such as EGFR, KRAS, and ALK rearrangement. Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy, which is one of the measures for genomic instability. The molecular subtyping based on TMB has not been well characterized in lung adenocarcinomas in the Chinese population. Here we performed molecular subtyping based on TMB with the published whole exome sequencing data of 101 lung adenocarcinomas and compared the different features of the classified subtypes, including clinical features, somatic driver genes, and mutational signatures. We found that patients with lower TMB have a longer disease-free survival, and higher TMB is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somatic RYR2 mutations and the subtype with higher TMB. Molecular subtyping based on TMB is a potential prognostic marker for lung adenocarcinoma. Signature 4 and the mutation of RYR2 are highlighted in the TMB-High group. The mutation of RYR2 is a significant biomarker associated with high TMB in lung adenocarcinoma.

30 October 2019 in The Pharmacogenomics Journal
Verified
Journal Article
Closed access
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SXShuang Xin
Shuang Xin
YZYuanyuan Zhao
Yuanyuan Zhao
CWChangzheng Wang
Changzheng Wang
YHYan Huang
Yan Huang
WZWei Zhuang
Wei Zhuang
LZLi Zhang
Li Zhang

25 February 2019 in bioRxiv
Verified
Preprint
Open access
PDF file
CWChangzheng Wang
Changzheng Wang
FLFuqiang Li
Fuqiang Li
GXGuoyun Xie
Guoyun Xie
SQSitan Qiao
Sitan Qiao
XSXulian Shi
Xulian Shi
XZXiuqing Zhang
Xiuqing Zhang
Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy. The subset of patients with TMB has not been well characterized in lung adenocarcinomas. Here we performed molecular subtyping based on TMB and compared the features of different subtypes including clinical features, somatic driver genes and mutational signatures. We found that patients with lower tumor mutation burden had a longer disease-free survival, while higher tumor mutation burden is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somaticRYR2mutations and the subtype with higher mutation burden. Overall, our study identified two molecular subtypes based on TMB and described the corresponding difference in their clinical and genomic levels.