He yang Zhang

Dr. He yang Zhang

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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10 August 2022 in Nutrition
Verified
Journal Article
Closed access
HXHai lun Xie
Hai lun Xie
GRGuo-Tian Ruan
Guo-Tian Ruan
HZHe yang Zhang
He yang Zhang
YGYizhong Ge
Yizhong Ge
QZQi Zhang
Qi Zhang
Hanping ShiHanping Shi
Hanping Shi

Verified
Journal Article
Open access
PDF file
QQQiaozhen Qin
Qiaozhen Qin
HRHuaqiang Ruan
Huaqiang Ruan
HZHe yang Zhang
He yang Zhang
ZXZhenhua Xu
Zhenhua Xu
WPWenting Pan
Wenting Pan
XJXIAO-XIA JIANG
XIAO-XIA JIANG
MYSM1, a deubiquitinating enzyme, plays a pivotal role in diverse biological processes. Both MYSM1 knockout mice and patients with Mysm1 gene mutations exhibit developmental abnormalities across multiple tissues and organs. Serving as a crucial regulator, MYSM1 influences stem cell function, immune responses, and the pathogenesis of diverse diseases. This review comprehensively details MYSM1’s deubiquitinating activities in both the nucleus and cytoplasmic compartments, its effects on stem cell proliferation, differentiation, and immune cell function, and its involvement in cancer, aging, and depression. The high sequence homology between murine and human MYSM1, along with similar phenotypes observed in Mysm1-deficient models, provides valuable insights into the etiology of human Mysm1-deficiency syndromes. This review aims to offer a foundation for future comprehensive research on MYSM1.

1 August 2026 in Translational Cancer Research
Verified
Journal Article
Open access
PDF file
YCYiyang Chen
Yiyang Chen
MRMuchen Ren
Muchen Ren
SLSihui Liu
Sihui Liu
TWTianyi Wang
Tianyi Wang
HZHe yang Zhang
He yang Zhang
Hanping ShiHanping Shi
Hanping Shi
Background: The systemic immune-inflammation index (SII; platelet × neutrophil/lymphocyte) is a well-established prognostic marker in solid tumors, but its clinical significance in leukemia remains unclear, where peripheral blood cytopenias may primarily reflect bone marrow failure rather than conventional cancer-related inflammation. This study aimed to evaluate the association between pretreatment SII and overall survival (OS) in patients with leukemia and to assess its prognostic relevance in a multicenter cohort. Methods: We retrospectively analyzed 609 leukemia patients from a multicenter registry, split into training (n=427) and validation (n=182) cohorts. Baseline SII was calculated before therapy. A data-derived SII threshold was identified in the training cohort using maximally selected rank statistics. OS was assessed using Kaplan-Meier curves, Cox regression, and restricted cubic splines (RCS). A nomogram was constructed based on the multivariable Cox model and internally evaluated using bootstrap calibration for 1- and 3-year survival. Results: An SII cutoff of 173.56 significantly separated survival (log-rank P<0.001). After adjustment for the demographic, comorbidity, and treatment variables available in the registry, higher SII (≥173.56) remained associated with a lower hazard of death [hazard ratio (HR) =0.41; 95% confidence interval (CI): 0.31–0.55; P<0.001]. Spline analyses suggested a nonlinear inverse association between SII and mortality. The nomogram showed acceptable internal calibration in both cohorts. Conclusions: Higher baseline SII was consistently associated with better OS in this multicenter leukemia cohort. This association may reflect differences in underlying disease burden and preserved hematopoietic function, rather than an independent biological effect of SII. Because leukemia subtype, disease status, and cytogenetic and molecular risk were unavailable, whether SII adds prognostic value beyond established leukemia risk factors remains uncertain. These findings support further evaluation of SII in well-characterized, subtype-specific cohorts.