Yu-Jun Dai

Yu-Jun Dai

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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20 April 2020 in Cancer Medicine
Verified
Journal Article
Open access
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KBKun‐Hao Bai
Kun‐Hao Bai
SHSi‐Yuan He
Si‐Yuan He
LSLing‐Ling Shu
Ling‐Ling Shu
WWWei‐Da Wang
Wei‐Da Wang
SLShi‐Yong Lin
Shi‐Yong Lin
YDYu-Jun Dai
Yu-Jun Dai
Cancer stem cells (CSCs) are characterized by self‐renewal and ‐differential potential as compared to common cancer cells and play an important role in the development and therapeutic resistance of liver hepatocellular carcinoma (LIHC). However, the specific pathogenesis of LIHC stem cells is still unclear, and the genes involved in the stemness of LIHC stem cells are currently unknown. In this study, we investigated novel biomarkers associated with LIHC and explored the expression characteristics of stem cell‐related genes in LIHC. We found that mRNA expression‐based stemness index (mRNAsi) was significantly overexpressed in liver cancer tissues. Further, mRNAsi expression in LIHC increased with the tumor pathological grade, with grade 4 tumors harboring the greatest stem cell features. Upon establishing mRNAsi scores based on mRNA expression of every gene, we found an association with poor overall survival in LIHC. Moreover, modules of interest were determined based on weighted gene co‐expression network analysis (WGCNA) inclusion criteria, and three significant modules (red, green, and brown) and 21 key genes (DCN, ECM1, HAND2, PTGIS, SFRP1, SRPX, COLEC10, GRP182, ADAMTS7, CD200, CDH11, COL8A1, FAP, LZTS1, MAP1B, NAV1, NOTCH3, OLFML2A, PRR16, TMEM119, and VCAN) were identified. Functional analysis of these 21 genes demonstrated their enrichment in pathways involved in angiogenesis, negative regulation of DNA‐binding transcription factor activity, apoptosis, and autophagy. Causal relationship with proteins indicated that the Wnt, Notch, and Hypoxia pathways are closely related to LIHC tumorigenesis. To our knowledge, this is the first report of a novel CSC biomarker, mRNAsi, to predict the prognosis of LIHC. Further, we identified 21 key genes through mRNA expression network analysis, which could be potential therapeutic targets to inhibit the stemness of cancer cells in LIHC.

16 August 2019 in Genes
Verified
Journal Article
Open access
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SCSi-Liang Chen
Si-Liang Chen
ZQZhe-Yuan Qin
Zhe-Yuan Qin
FHFang Hu
Fang Hu
YWYun Wang
Yun Wang
YDYu-Jun Dai
Yu-Jun Dai
YLYang Liang
Yang Liang
The HOXA gene family is associated with various cancer types. However, the role of HOXA genes in acute myeloid leukemia (AML) have not been comprehensively studied. We compared the transcriptional expression, survival data, and network analysis of HOXA-associated signaling pathways in patients with AML using the ONCOMINE, GEPIA, LinkedOmics, cBioPortal, and Metascape databases. We observed that HOXA2-10 mRNA expression levels were significantly upregulated in AML and that high HOXA1-10 expression was associated with poor AML patient prognosis. The HOXA genes were altered in ~18% of the AML samples, either in terms of amplification, deep deletion, or elevated mRNA expression. The following pathways were modulated by HOXA gene upregulation: GO:0048706: embryonic skeletal system development; R-HSA-5617472: activation of HOX genes in anterior hindbrain development during early embryogenesis; GO:0060216: definitive hemopoiesis; hsa05202: transcriptional mis-regulation in cancer; and GO:0045638: negative regulation of myeloid cell differentiation, and they were significantly regulated due to alterations affecting the HOXA genes. This study identified HOXA3-10 genes as potential AML therapeutic targets and prognostic markers.

1 April 2020 in Annals of Translational Medicine
Verified
Journal Article
Open access
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YDYu-Jun Dai
Yu-Jun Dai
FHFang Hu
Fang Hu
HLHuan Li
Huan Li
HHHan-Ying Huang
Han-Ying Huang
DWDa-Wei Wang
Da-Wei Wang
YLYang Liang
Yang Liang
Background: The new coronavirus pneumonia (NCP) is now causing a severe public health emergency. The novel coronavirus 2019 (2019-nCoV) infected individuals by binding human angiotensin converting enzyme II (ACE2) receptor. ACE2 is widely expressed in multiple organs including respiratory, cardiovascular, digestive and urinary systems in healthy individuals. These tissues with high expression level of ACE2 seemed to be more vulnerable to SARS-CoV-2 infection. Recently, it has been reported that patients with tumors were likely to be more susceptible to SARS-CoV-2 infection and indicated poor prognosis. Methods: The tissue atlas database and the blood atlas were used to analyze the distribution of ACE2 in human tissues or organs of cancers and normal samples. Starbase dataset was applied to predict the prognosis of cancers according to expression level of ACE2. Results: In this study, we demonstrated a landscape profiling analysis on expression level of ACE2 in pan-cancers and showed the risky of different type of cancers to SARS-CoV-2 according to the expression level of ACE2. In addition, we found that ACE2 was both differential expression and related to the prognosis only in liver hepatocellular carcinoma (LIHC). Relative high expression of ACE2 indicated a favorable prognosis in LIHC, but they might be more susceptible to SARS-CoV-2. Conclusions: We indeed emphasized that LIHC patients with high expression level of ACE2 should be more cautious of the virus infection. Our study might provide a potential clue for preventing infection of SARS-CoV-2 in cancers.

31 October 2020 in Clinical and Translational Medicine
Verified
Journal Article
Open access
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DWda Wei Wang
da Wei Wang
GWGuo‐Yan Wu
Guo‐Yan Wu
KBKun‐Hao Bai
Kun‐Hao Bai
LSLing‐Ling Shu
Ling‐Ling Shu
PCPei‐Dong Chi
Pei‐Dong Chi
YDYu-Jun Dai
Yu-Jun Dai
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22 May 2021 in Biomolecules
Verified
Journal Article
Open access
PDF file
YYYing Yang
Ying Yang
YDYu-Jun Dai
Yu-Jun Dai
XYXuejiao Yang
Xuejiao Yang
SWSongfang Wu
Songfang Wu
YWYueying Wang
Yueying Wang
DNMT3A mutations are frequently identified in acute myeloid leukemia (AML) and indicate poor prognosis. Previously, we found that the hotspot mutation DNMT3A R882H could upregulate CDK1 and induce AML in conditional knock-in mice. However, the mechanism by which CDK1 is involved in leukemogenesis of DNMT3A mutation-related AML, and whether CDK1 could be a therapeutic target, remains unclear. In this study, using fluorescence resonance energy transfer and immunoprecipitation analysis, we discovered that increased CDK1 could compete with EZH2 to bind to the PHD-like motif of DNMT3A, which may disturb the protein interaction between EZH2 and DNMT3A. Knockdown of CDK1 in OCI-AML3 cells with DNMT3A mutation markedly inhibited proliferation and induced apoptosis. CDK1 selective inhibitor CGP74514A (CGP) and the pan-CDK inhibitor flavopiridol (FLA) arrested OCI-AML3 cells in the G2/M phase, and induced cell apoptosis. CGP significantly increased CD163-positive cells. Moreover, the combined application of CDK1 inhibitor and traditional chemotherapy drugs synergistically inhibited proliferation and induced apoptosis of OCI-AML3 cells. In conclusion, this study highlights CDK1 overexpression as a pathogenic factor and a potential therapeutic target for DNMT3A mutation-related AML.

17 September 2022 in Computational and Structural Biotechnology Journal
Verified
Journal Article
Open access
KBKun-Hao Bai
Kun-Hao Bai
YZYi-Yang Zhang
Yi-Yang Zhang
XLXue-Ping Li
Xue-Ping Li
XTXiao-Peng Tian
Xiao-Peng Tian
MPMeng-Meng Pan
Meng-Meng Pan
YDYu-Jun Dai
Yu-Jun Dai
Tumor necrosis factor-α-inducible protein 8-like 2 (TIPE2) is encoded by TNFAIP8L2 and is a newly identified negative regulator of natural and acquired immunity that plays a critical function in maintaining immune homeostasis. Recently, CAR-NK immune cell therapy has been a focus of major research efforts as a novel cancer therapeutic strategy. TIPE2 is a potential checkpoint molecule for immune cell maturation and antitumor immunity that could be used as a novel NK cell-based immunotherapeutic approach. In this study, we explored the expression of TNFAIP8L2 across various tumor types and found that TNFAIP8L2 was highly expressed in most tumor types and correlated with prognosis. Survival analysis showed that TNFAIP8L2 expression was predictive of improved survival in cervical-squamous-cell-carcinoma (CESC), sarcoma (SARC) and skin-cutaneous-melanoma (SKCM). Conversely, TNFAIP8L2 expression predicted poorer survival in acute myeloid leukemia (LAML), lower-grade-glioma (LGG), kidney-renal-clear-cell-carcinoma (KIRC) and uveal-melanoma (UVM). Analysis of stemness features and immune cell infiltration indicated that TNFAIP8L2 was significantly associated with cancer stem cell index and increased macrophage and dendritic cell infiltration. Our data suggest that TNFAIP8L2 may be a novel immune checkpoint biomarker across different tumor types, particularly in LAML, LGG, KIRC and UVM, and may have further utility as a potential target for immunotherapy.