Xian Zhenyu

Dr. Xian Zhenyu

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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17 November 2023 in Cancers
Verified
Journal Article
Open access
PDF file
JXJiancong Xie
Jiancong Xie
TMTaiwei Mo
Taiwei Mo
RLRuibing Li
Ruibing Li
HZHao Zhang
Hao Zhang
GLGuanzhan Liang
Guanzhan Liang
WPWeidong Pan
Weidong Pan
PDAC is one of the most common malignant tumors worldwide. The difficulty of early diagnosis and lack of effective treatment are the main reasons for its poor prognosis. Therefore, it is urgent to identify novel diagnostic and therapeutic targets for PDAC patients. The m7G methylation is a common type of RNA modification that plays a pivotal role in regulating tumor development. However, the correlation between m7G regulatory genes and PDAC progression remains unclear. By integrating gene expression and related clinical information of PDAC patients from TCGA and GEO cohorts, m7G binding protein NCBP2 was found to be highly expressed in PDAC patients. More importantly, PDAC patients with high NCBP2 expression had a worse prognosis. Stable NCBP2-knockdown and overexpression PDAC cell lines were constructed to further perform in-vitro and in-vivo experiments. NCBP2-knockdown significantly inhibited PDAC cell proliferation, while overexpression of NCBP2 dramatically promoted PDAC cell growth. Mechanistically, NCBP2 enhanced the translation of c-JUN, which in turn activated MEK/ERK signaling to promote PDAC progression. In conclusion, our study reveals that m7G reader NCBP2 promotes PDAC progression by activating MEK/ERK pathway, which could serve as a novel therapeutic target for PDAC patients.

10 November 2022 in Cancers
Verified
Journal Article
Open access
PDF file
JCJing Chen
Jing Chen
YSYi-Wen Song
Yi-Wen Song
GLGuanzhan Liang
Guanzhan Liang
ZZZong-Jin Zhang
Zong-Jin Zhang
XWXiao-Feng Wen
Xiao-Feng Wen
XZXian Zhenyu
Xian Zhenyu
Colon cancer (CC), one of the most common malignancies worldwide, lacks an effective prognostic prediction biomarker. N7-methylguanosine (m7G) methylation is a common RNA modification type and has been proven to influence tumorigenesis. However, the correlation between m7G-related genes and CC remains unclear. The gene expression levels and clinical information of CC patients were downloaded from public databases. Twenty-nine m7G-related genes were obtained from the published literature. Via unsupervised clustering based on the expression levels of m7G-related genes, CC patients were divided into three m7G clusters. Based on differentially expressed genes (DEGs) from the above three groups, CC patients were further divided into three gene clusters. The m7G score, a prognostic model, was established using principal component analysis (PCA) based on 15 prognosis-associated m7G genes. KM curve analysis demonstrated that the overall survival rate was remarkably higher in the high-m7G score group, which was much more significant in advanced CC patients as confirmed by subgroup analysis. Correlation analysis indicated that the m7G score was associated with tumor mutational burden (TMB), PD-L1 expression, immune infiltration, and drug sensitivity. The expression level of prognosis-related m7G genes was further confirmed in human CC cell lines and samples. This study established an m7G gene-based prognostic model (m7G score), which demonstrated the important roles of m7G-related genes during CC initiation and progression. The m7G score could be a practical biomarker to predict immunotherapy response and prognosis in CC patients.

15 February 2023 in Journal of Clinical Medicine
Verified
Journal Article
Open access
PDF file
GLGuanzhan Liang
Guanzhan Liang
XWXiao-Feng Wen
Xiao-Feng Wen
YSYi-Wen Song
Yi-Wen Song
ZZZong-Jin Zhang
Zong-Jin Zhang
JCJing Chen
Jing Chen
XZXian Zhenyu
Xian Zhenyu
Colon cancer (CC) is one of the most common (6%) malignancies and leading cause of cancer-associated death (more than 0.5 million) worldwide, which demands reliable prognostic biomarkers. Cuproptosis is a novel modality of regulated cell death triggered by the accumulation of intracellular copper. LncRNAs have been reported as prognostic signatures in different types of tumors. However, the correlation between cuproptosis-related lncRNAs (CRLs) and CC remains unclear. Data of CC patients were downloaded from public databases. The prognosis-associated CRLs were identified by co-expression analysis and univariate Cox. Least absolute shrinkage and selection operator were utilized to construct the CRLs-based prognostic signature in silico for CC patients. CRLs level was validated in human CC cell lines and patient tissues. ROC curve and Kaplan–Meier curve results revealed that high CRLs-risk score was associated with poor prognosis in CC patients. Moreover, the nomogram revealed that this model possessed a steady prognostic prediction capability with C-index as 0.68. More importantly, CC patients with high CRLs-risk score were more sensitive to eight targeted therapy drugs. The prognostic prediction power of the CRLs-risk score was further confirmed by cell lines, tissues and two independent CC cohorts. This study constructed a novel ten-CRLs-based prognosis model for CC patients. The CRLs-risk score is expected to serve as a promising prognostic biomarker and predict targeted therapy response in CC patients.

10 April 2024 in Asian Journal of Surgery
Verified
Journal Article
Open access
TMTaiwei Mo
Taiwei Mo
XWXiaofeng Wen
Xiaofeng Wen
THTuo Hu
Tuo Hu
ZZZongjin Zhang
Zongjin Zhang
YSYaqian Shi
Yaqian Shi
XHXiaowen He
Xiaowen He
Introduction: The safety and effectiveness of prophylactic hyperthermic intraperitoneal chemotherapy (HIPEC) in pathological T3-4 locally advanced (pT3N + M0 and pT4NxM0) colon cancer (CC) patients with radical resection need further study. Methods: Clinical and pathological information of pT3-4 locally advanced CC patients who received radical surgery in our hospital from January 2018 to December 2020 were analyzed. The prognosis of patients was estimated using Cox proportional hazards regression analysis and Kaplan–Meier method. Results: Among 927 patients, 10.4% (96/927) received prophylactic HIPEC based on 5-FU, 4.6% (43/927) received prophylactic HIPEC based on lobaplatin, 85.0% (788/927) received conventional therapy. The incidence of metachronous peritoneal carcinomatosis (mPC) was 9.4%. Complications occurred in 32 patients (4.1%) in the conventional therapy group, 6 patients (6.3%) in the prophylactic HIPEC group based on 5-FU and 3 patients (7.0%) in the prophylactic HIPEC group based on lobaplatin within 30 days after surgery (5-FU vs. conventional therapy group, p = 0.464; Lobaplatin vs. conventional therapy group, p = 0.591). Multivariate Cox regression analysis revealed that prophylactic HIPEC based on either 5-FU or lobaplatin regimen could not effectively improve mPC-free survival (5-FU: p = 0.020, HR = 1.927, 95% CI, 1.111–3.343; Lobaplatin: p = 0.167, HR = 0.247, 95% CI, 0.034–1.796), overall survival (5-FU: p = 0.361, HR = 1.360, 95% CI, 0.703–2.634; Lobaplatin: p = 0.780, HR = 0.816, 95% CI, 0.195–3.416) and disease-free survival (5-FU: p = 0.525, HR = 1.149, 95% CI, 0.749–1.760; Lobaplatin: p = 0.117, HR = 0.488, 95% CI, 0.199–1.198). Conclusion: Early prophylactic HIPEC based on 5-FU or lobaplatin subsequent to radical resection for patients with pT3-4 locally advanced CC is safe, but not effective in reducing the risk for mPC.