Yinghao Sun

Yinghao Sun


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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21 February 2012 in Cell Research
Verified
Journal Article
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SRShancheng Ren
Shancheng Ren
ZPZhiyu Peng
Zhiyu Peng
JMJian-Hua Mao
Jian-Hua Mao
YYYongwei Yu
Yongwei Yu
CYChangjun Yin
Changjun Yin
YSYinghao Sun
Yinghao Sun
There are remarkable disparities among patients of different races with prostate cancer; however, the mechanism underlying this difference remains unclear. Here, we present a comprehensive landscape of the transcriptome profiles of 14 primary prostate cancers and their paired normal counterparts from the Chinese population using RNA-seq, revealing tremendous diversity across prostate cancer transcriptomes with respect to gene fusions, long noncoding RNAs (long ncRNA), alternative splicing and somatic mutations. Three of the 14 tumors (21.4%) harbored a TMPRSS2-ERG fusion, and the low prevalence of this fusion in Chinese patients was further confirmed in an additional tumor set (10/54=18.5%). Notably, two novel gene fusions, CTAGE5-KHDRBS3 (20/54=37%) and USP9Y-TTTY15 (19/54=35.2%), occurred frequently in our patient cohort. Further systematic transcriptional profiling identified numerous long ncRNAs that were differentially expressed in the tumors. An analysis of the correlation between expression of long ncRNA and genes suggested that long ncRNAs may have functions beyond transcriptional regulation. This study yielded new insights into the pathogenesis of prostate cancer in the Chinese population.

25 March 2020 in Nature
Verified
Journal Article
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JLJing Li
Jing Li
CXChuanliang Xu
Chuanliang Xu
HLHyung Joo Lee
Hyung Joo Lee
SRShancheng Ren
Shancheng Ren
XZXiaoyuan Zi
Xiaoyuan Zi
YSYinghao Sun
Yinghao Sun

14 August 2017 in Nature Medicine
Verified
Journal Article
Open access
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PZPingzhao Zhang
Pingzhao Zhang
DWDejie Wang
Dejie Wang
YZYu Zhao
Yu Zhao
SRShancheng Ren
Shancheng Ren
KGKun Gao
Kun Gao
HHHaojie Huang
Haojie Huang
Mutations in SPOP, the gene encoding a component of the E3 ubiquitin ligase complex, impair ubiquitination-dependent degradation of BRD2, BRD3 and BRD4 proteins and result in activation of ATK–mTORC1 signaling and resistance to BET inhibitors. Pharmacological blockade of AKT represents a viable strategy to restore the sensitivity of SPOP-mutant prostate tumors to BET inhibitors. These results, together with findings by Dai et al. and Janouskova et al., uncover a new nongenetic mechanism of resistance to BET inhibition involving cancer-type-specific mutations in SPOP, and support the evaluation of SPOP mutation status to inform the administration of BET inhibitors in the clinic. Bromodomain and extraterminal domain (BET) protein inhibitors are emerging as promising anticancer therapies. The gene encoding the E3 ubiquitin ligase substrate-binding adaptor speckle-type POZ protein (SPOP) is the most frequently mutated in primary prostate cancer. Here we demonstrate that wild-type SPOP binds to and induces ubiquitination and proteasomal degradation of BET proteins (BRD2, BRD3 and BRD4) by recognizing a degron motif common among them. In contrast, prostate cancer–associated SPOP mutants show impaired binding to BET proteins, resulting in decreased proteasomal degradation and accumulation of these proteins in prostate cancer cell lines and patient specimens and causing resistance to BET inhibitors. Transcriptome and BRD4 cistrome analyses reveal enhanced expression of the GTPase RAC1 and cholesterol-biosynthesis-associated genes together with activation of AKT–mTORC1 signaling as a consequence of BRD4 stabilization. Our data show that resistance to BET inhibitors in SPOP-mutant prostate cancer can be overcome by combination with AKT inhibitors and further support the evaluation of SPOP mutations as biomarkers to guide BET-inhibitor-oriented therapy in patients with prostate cancer.

1 January 2016 in Molecular & Cellular Proteomics
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Journal Article
Open access
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SRShancheng Ren
Shancheng Ren
YSYaping Shao
Yaping Shao
XZXinjie Zhao
Xinjie Zhao
CHChristopher S. Hong
Christopher S. Hong
FWFubo Wang
Fubo Wang
YSYinghao Sun
Yinghao Sun
Prostate cancer is a highly prevalent tumor affecting millions of men worldwide, but poor understanding of its pathogenesis has limited effective clinical management of patients. In addition to transcriptional profiling or transcriptomics, metabolomics is being increasingly utilized to discover key molecular changes underlying tumorigenesis. In this study, we integrated transcriptomics and metabolomics to analyze 25 paired human prostate cancer tissues and adjacent noncancerous tissues, followed by further validation of our findings in an additional cohort of 51 prostate cancer patients and 16 benign prostatic hyperplasia patients. We found several altered pathways aberrantly expressed at both metabolic and transcriptional levels, including cysteine and methionine metabolism, nicotinamide adenine dinucleotide metabolism, and hexosamine biosynthesis. Additionally, the metabolite sphingosine demonstrated high specificity and sensitivity for distinguishing prostate cancer from benign prostatic hyperplasia, particularly for patients with low prostate specific antigen level (0–10 ng/ml). We also found impaired sphingosine-1-phosphate receptor 2 signaling, downstream of sphingosine, representing a loss of tumor suppressor gene and a potential key oncogenic pathway for therapeutic targeting. By integrating metabolomics and transcriptomics, we have provided both a broad picture of the molecular perturbations underlying prostate cancer and a preliminary study of a novel metabolic signature, which may help to discriminate prostate cancer from normal tissue and benign prostatic hyperplasia.

1 March 2018 in European Urology
Verified
Journal Article
Closed access
SRShancheng Ren
Shancheng Ren
GWGong-Hong Wei
Gong-Hong Wei
DLDongbing Liu
Dongbing Liu
LWLiguo Wang
Liguo Wang
YHYong Hou
Yong Hou
YSYinghao Sun
Yinghao Sun

30 September 2012 in Nature Genetics
Verified
Journal Article
Closed access
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JXJianfeng Xu
Jianfeng Xu
ZMZengnan Mo
Zengnan Mo
DYDingwei Ye
Dingwei Ye
MWMeilin Wang
Meilin Wang
FLFang Liu
Fang Liu
YSYinghao Sun
Yinghao Sun