Siyuan Zheng

Dr. Siyuan Zheng

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 November 2017 in Nucleic Acids Research
Verified
Journal Article
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XHXin Hu
Xin Hu
QWQianghu Wang
Qianghu Wang
MTMing Tang
Ming Tang
FBFloris Barthel
Floris Barthel
SASamirkumar Amin
Samirkumar Amin
RVRoel G W Verhaak
Roel G W Verhaak
Gene fusion represents a class of molecular aberrations in cancer and has been exploited for therapeutic purposes. In this paper we describe TumorFusions, a data portal that catalogues 20 731 gene fusions detected in 9966 well characterized cancer samples and 648 normal specimens from The Cancer Genome Atlas (TCGA). The portal spans 33 cancer types in TCGA. Fusion transcripts were identified via a uniform pipeline, including filtering against a list of 3838 transcript fusions detected in a panel of 648 non-neoplastic samples. Fusions were mapped to somatic DNA rearrangements identified using whole genome sequencing data from 561 cancer samples as a means of validation. We observed that 65% of transcript fusions were associated with a chromosomal alteration, which is annotated in the portal. Other features of the portal include links to SNP array-based copy number levels and mutational patterns, exon and transcript level expressions of the partner genes, and a network-based centrality score for prioritizing functional fusions. Our portal aims to be a broadly applicable and user friendly resource for cancer gene annotation and is publicly available at http://www.tumorfusions.org.

1 January 2021 in Cell
Verified
Journal Article
Closed access
EPEvan O. Paull
Evan O. Paull
AAAlvaro Aytes
Alvaro Aytes
SJSunny J. Jones
Sunny J. Jones
PSPrem S. Subramaniam
Prem S. Subramaniam
Federico Manuel GiorgiFederico Manuel Giorgi
Federico Manuel Giorgi
ACAndrea Califano
Andrea Califano

19 September 2022 in Cancer Discovery
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Journal Article
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LWLingxiang Wu
Lingxiang Wu
WWWei Wu
Wei Wu
JZJunxi Zhang
Junxi Zhang
ZZZheng Zhao
Zheng Zhao
LLLiangyu Li
Liangyu Li
QWQianghu Wang
Qianghu Wang
Isocitrate dehydrogenase (IDH) wild-type glioblastoma (GBM) has a dismal prognosis. A better understanding of tumor evolution holds the key to developing more effective treatment. Here we study GBM's natural evolutionary trajectory by using rare multifocal samples. We sequenced 61,062 single cells from eight multifocal IDH wild-type primary GBMs and defined a natural evolution signature (NES) of the tumor. We show that the NES significantly associates with the activation of transcription factors that regulate brain development, including MYBL2 and FOSL2. Hypoxia is involved in inducing NES transition potentially via activation of the HIF1A–FOSL2 axis. High-NES tumor cells could recruit and polarize bone marrow–derived macrophages through activation of the FOSL2–ANXA1–FPR1/3 axis. These polarized macrophages can efficiently suppress T-cell activity and accelerate NES transition in tumor cells. Moreover, the polarized macrophages could upregulate CCL2 to induce tumor cell migration. Significance: GBM progression could be induced by hypoxia via the HIF1A–FOSL2 axis. Tumor-derived ANXA1 is associated with recruitment and polarization of bone marrow–derived macrophages to suppress the immunoenvironment. The polarized macrophages promote tumor cell NES transition and migration. This article is highlighted in the In This Issue feature, p. 2711

14 November 2016 in Nature Genetics
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TSTakashi Shingu
Takashi Shingu
AHAllen L Ho
Allen L Ho
LYLiang Yuan
Liang Yuan
XZXin Zhou
Xin Zhou
CDCongxin Dai
Congxin Dai
JHJian Hu
Jian Hu

18 March 2022 in Cancer Research
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Journal Article
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PYPooja Yadav
Pooja Yadav
PSPanneerdoss Subbarayalu
Panneerdoss Subbarayalu
DMDaisy Medina
Daisy Medina
SNSaif Nirzhor
Saif Nirzhor
STSantosh Timilsina
Santosh Timilsina
MRManjeet K. Rao
Manjeet K. Rao
Osteosarcoma is the most common malignancy of the bone, yet the survival for patients with osteosarcoma is virtually unchanged over the past 30 years. This is principally because development of new therapies is hampered by a lack of recurrent mutations that can be targeted in osteosarcoma. Here, we report that epigenetic changes via mRNA methylation holds great promise to better understand the mechanisms of osteosarcoma growth and to develop targeted therapeutics. In patients with osteosarcoma, the RNA demethylase ALKBH5 was amplified and higher expression correlated with copy-number changes. ALKBH5 was critical for promoting osteosarcoma growth and metastasis, yet it was dispensable for normal cell survival. Methyl RNA immunoprecipitation sequencing analysis and functional studies showed that ALKBH5 mediates its protumorigenic function by regulating m6A levels of histone deubiquitinase USP22 and the ubiquitin ligase RNF40. ALKBH5-mediated m6A deficiency in osteosarcoma led to increased expression of USP22 and RNF40 that resulted in inhibition of histone H2A monoubiquitination and induction of key protumorigenic genes, consequently driving unchecked cell-cycle progression, incessant replication, and DNA repair. RNF40, which is historically known to ubiquitinate H2B, inhibited H2A ubiquitination in cancer by interacting with and affecting the stability of DDB1-CUL4–based ubiquitin E3 ligase complex. Taken together, this study directly links increased activity of ALKBH5 with dysregulation of USP22/RNF40 and histone ubiquitination in cancers. More broadly, these results suggest that m6A RNA methylation works in concert with other epigenetic mechanisms to control cancer growth. Significance: RNA demethylase ALKBH5 upregulates USP22 and RNF40 to inhibit histone H2A ubiquitination and induces expression of key replication and DNA repair–associated genes, driving osteosarcoma progression.

8 January 2021 in Nature Communications
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Journal Article
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NNNighat Noureen
Nighat Noureen
SWShaofang Wu
Shaofang Wu
YLYingli Lv
Yingli Lv
JYJuechen Yang
Juechen Yang
WYW. K. Alfred Yung
W. K. Alfred Yung
SZSiyuan Zheng
Siyuan Zheng
Active telomerase is essential for stem cells and most cancers to maintain telomeres. The enzymatic activity of telomerase is related but not equivalent to the expression of TERT, the catalytic subunit of the complex. Here we show that telomerase enzymatic activity can be robustly estimated from the expression of a 13-gene signature. We demonstrate the validity of the expression-based approach, named EXTEND, using cell lines, cancer samples, and non-neoplastic samples. When applied to over 9,000 tumors and single cells, we find a strong correlation between telomerase activity and cancer stemness. This correlation is largely driven by a small population of proliferating cancer cells that exhibits both high telomerase activity and cancer stemness. This study establishes a computational framework for quantifying telomerase enzymatic activity and provides new insights into the relationships among telomerase, cancer proliferation, and stemness.