Hongbing Liu

Dr. Hongbing Liu

orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

View All Publications
29 October 2019 in Journal of Translational Medicine
Verified
Journal Article
Open access
PDF file
CLChuling Li
Chuling Li
CLChuwei Li
Chuwei Li
CZChunchun Zhi
Chunchun Zhi
WLWenjun Liang
Wenjun Liang
XWXuan Wang
Xuan Wang
HLHongbing Liu
Hongbing Liu
Background: Exosomes are 50–150 nm endocytic vesicles secreted by almost all type of cells that carry bioactive molecules from host. These small vesicles are considered to be novel cross-talk circuits established by tumor cells and tumor microenvironment. Previous studies have shown certain biological influence of exosomal programmed cell-death ligand 1 (Exo-PD-L1) on immune suppression and dysfunction. The aim of the current study was to investigate the impact of Exo-PD-L1 and soluble PD-L1 (sPD-L1) on non-small cell lung cancer (NSCLC) and explore the concordance between Exo-PD-L1 and PD-L1 expression in matched tumor tissues in NSCLC patients. Methods: 85 consecutive patients from April 2017 to December 2017 at General Hospital of Eastern Command Theatre who were primarily diagnosed with NSCLC and 27 healthy individuals were enrolled in this study. Two milliliters of whole blood samples were collected from each participant and further centrifuged. Exosomes were derived from serum using the commercial kit (Total Exosome Isolation Kit), which was further identified by Western blotting analysis (CD63/TSG101), transmission electron microscope analysis (TEM) and nanoparticle tracking analysis (NTA). Exosomes were next solubilized for Exo-PD-L1 detection by enzyme-linked immuno-sorbent assay (ELISA). PD-L1 expression in matched tissue were assessed by PD-L1 immunohistochemistry (IHC) (clone 28-8) assay. Tumor proportion score (TPS) ≥ 1% was deemed as “positive” in this study and TPS < 1% was deemed as “negative”. Written informed consent were obtained before acquisition of all data and biological sample. Data were analyzed using SPSS 20.0 and Graphpad Prism 5 software. Chi square test was conducted to estimate the correlation between Exo-PD-L1 levels, sPD-L1 levels, PD-L1 IHC profiles and clinicopathological features. For all analysis, a two-sided p < 0.05 was considered significant statistically. Results: Exo-PD-L1 levels were higher in NSCLC patients with advanced tumor stage, larger tumor size (> 2.5 cm) (p < 0.001), positive lymph node status (p < 0.05) and distant metastasis (p < 0.05). In contrast, sPD-L1 levels were not different between NSCLC patients and healthy donors, it was not correlated with any clinicopathologic features except for tumor size (> 2.5 cm) (p < 0.05). In addition, Exo-PD-L1 levels showed slight correlation with sPD-L1 levels (Spearman’s correlation at r = 0.3, p = 0.0027) while no correlation with PD-L1 IHC profiles was detected. Conclusions: In conclusion, Exo-PD-L1, but not sPD-L1, was correlated with NSCLC disease progression, including tumor size, lymph node status, metastasis and TNM stage. However, Exo-PD-L1 was not associated with PD-L1 IHC status.

29 April 2019 in Journal of Cellular Physiology
Verified
Journal Article
Closed access
PDF file
CLChuling Li
Chuling Li
YLYanling Lv
Yanling Lv
CSChenye Shao
Chenye Shao
CCCen Chen
Cen Chen
TZTianli Zhang
Tianli Zhang
YSYong Song
Yong Song

24 January 2023 in Therapeutic Advances in Neurological Disorders
Verified
Journal Article
Open access
HLHongbing Liu
Hongbing Liu
KLKai Liu
Kai Liu
KZKe Zhang
Ke Zhang
CZCe Zong
Ce Zong
HYHongxun Yang
Hongxun Yang
YGYuan Gao
Yuan Gao
Background: There is still no precise knowledge of the causes of progression in patients with acute ischemic stroke (AIS), and we are unable to predict patients at risk. Objective: To explore the frequency, predictive factors, and the prognosis of early neurological deterioration (END) in patients with AIS Methods: In this prospective multicenter observational study, we assessed patients with AIS admitted to 18 hospitals in Henan, China. We defined END as an increase of ⩾2 points in total National Institutes of Health Stroke Scale (NIHSS) score or ⩾1 point in the motor items of the NIHSS within 7 days after admission. Risk factors were analyzed using multivariate logistic regression models. Prognosis was evaluated using the modified Rankin Scale (mRS), with poor prognosis defined as mRS 3–6. Results: A total of 9114 patients with AIS within 24 h of symptom onset were enrolled in the study. END occurred in 1286 (14.1%) patients. The highest incidence (62.5%) of END occurred within 24 h after admission. After adjusting potential confounders, age, body mass index, waist–hip ratio, systolic blood pressure, baseline NIHSS, disabled at baseline, history of atrial fibrillation, diabetes mellitus, intracranial arterial stenosis, infarct location in the lenticulostriate artery area and cerebral watershed, neutrophils, lymphocytes, uric acid, and triglycerides were identified as independent predictors for END. END was significantly associated with poor prognosis at 90 days, and the adjusted OR was 1.74 (95% CI: 1.53–1.97). Conclusion: One in seven hospitalized patients with AIS may experience END within 24 h of onset. The highest incidence of END occurred within 24 h of admission and decreased steeply with time. Easily identifiable risk factors predict END and could help understand the causal mechanisms and thereby prevent END.

1 June 2019 in Translational Lung Cancer Research
Verified
Journal Article
Closed access
PDF file
ZWZimu Wang
Zimu Wang
PZPing Zhan
Ping Zhan
YLYanling Lv
Yanling Lv
KSKaikai Shen
Kaikai Shen
YWYuqing Wei
Yuqing Wei
YSYong Song
Yong Song
Background: Neutrophil-to-lymphocyte ratio (NLR) is related to prognosis in non-small cell lung cancer (NSCLC). However, no consensus on the relationship of pretreatment NLR and survival outcomes of systemic therapy in NSCLC exists. This meta-analysis investigated the prognostic role of pretreatment NLR during systemic therapy for NSCLC, including chemotherapy, immunotherapy and targeted therapy. Methods: PubMed, Web of Science and Cochrane Library databases were systematically searched up to April 09, 2019. Hazard ratios (HRs) with their 95% confidence intervals (CIs) were pooled to investigate the association of pretreatment NLR with progression-free survival (PFS) and overall survival (OS). Results: In total, 27 articles with 4,298 participants were selected. The pooled results showed that elevated pretreatment NLR was associated with inferior PFS (HR, 1.45, 95% CI, 1.28–1.66) and OS (HR, 1.63, 95% CI, 1.43–1.84) during systemic therapy. Subgroup analyses according to the treatment strategy suggested that higher pretreatment NLR was significantly associated with shorter survival in all therapies, including chemotherapy (PFS HR, 1.74, 95% CI, 1.39–2.17; OS HR, 1.73, 95% CI, 1.26–2.36), immunotherapy (PFS HR, 1.53, 95% CI, 1.27–1.84; OS HR, 2.50, 95% CI, 1.60–3.89) and targeted therapy (PFS HR, 1.53, 95% CI, 1.04–2.25; OS HR, 1.92, 95% CI, 1.14–3.24). Conclusions: Pretreatment NLR is a promising prognostic indicator for NSCLC patients receiving systemic therapy, including chemotherapy, immunotherapy and targeted therapy.

26 January 2015 in Tumor Biology
Verified
Journal Article
Closed access
PDF file
XSXuefei Shi
Xuefei Shi
MSMing Sun
Ming Sun
YWYing Wu
Ying Wu
YYYanwen Yao
Yanwen Yao
HLHongbing Liu
Hongbing Liu
YSYong Song
Yong Song

10 June 2021 in Biomarker Research
Verified
Journal Article
Open access
PDF file
ZWZimu Wang
Zimu Wang
JLJiaxin Liu
Jiaxin Liu
HHHairong Huang
Hairong Huang
MYMingxiang Ye
Mingxiang Ye
XLXinying Li
Xinying Li
YSYong Song
Yong Song
Metastasis suggests a poor prognosis for cancer patients, and treatment strategies for metastatic cancer are still very limited. Numerous studies have shown that cancer-associated fibroblasts (CAFs), a large component of the tumor microenvironment, contribute to tumor metastasis. Stromal fibroblasts at metastatic sites are different from CAFs within primary tumors and can be termed metastasis-associated fibroblasts (MAFs), and they also make great contributions to the establishment of metastatic lesions and the therapeutic resistance of metastatic tumors. MAFs are capable of remodeling the extracellular matrix of metastatic tumors, modulating immune cells in the tumor microenvironment, promoting angiogenesis and enhancing malignant tumor phenotypes. Thus, MAFs can help establish premetastatic niches and mediate resistance to therapeutic strategies, including immunotherapy and antiangiogenic therapy. The results of preclinical studies suggest that targeting MAFs can alleviate the progression of metastatic cancer and mitigate therapeutic resistance, indicating that MAFs are a promising target for metastatic cancer. Here, we comprehensively summarize the existing evidence on MAFs and discuss their origins, generation, functions and related therapeutic strategies in an effort to provide a better understanding of MAFs and offer treatment perspectives for metastatic cancer.