Honglan Zhou

Dr. Honglan Zhou


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 February 2021 in Molecular Metabolism
Verified
Journal Article
Open access
YZYanghe Zhang
Yanghe Zhang
QMQingfei Meng
Qingfei Meng
QSQianhui Sun
Qianhui Sun
ZXZhixiang Xu
Zhixiang Xu
HZHonglan Zhou
Honglan Zhou
YWYishu Wang
Yishu Wang
Live kinase B1 (LKB1) is a tumor suppressor that is mutated in Peutz-Jeghers syndrome (PJS) and a variety of cancers. Lkb1 encodes serine-threonine kinase (STK) 11 that activates AMP-activated protein kinase (AMPK) and its 13 superfamily members, regulating multiple biological processes, such as cell polarity, cell cycle arrest, embryo development, apoptosis, and bioenergetics metabolism. Increasing evidence has highlighted that deficiency of LKB1 in cancer cells induces extensive metabolic alterations that promote tumorigenesis and development. LKB1 also participates in the maintenance of phenotypes and functions of normal cells through metabolic regulation. Given the important role of LKB1 in metabolic regulation, we provide an overview of the association of metabolic alterations in glycolysis, aerobic oxidation, the pentose phosphate pathway (PPP), gluconeogenesis, glutamine, lipid, and serine induced by aberrant LKB1 signals in tumor progression, non-neoplastic diseases, and functions of immune cells. In this review, we summarize layers of evidence demonstrating that disordered metabolisms in glucose, glutamine, lipid, and serine caused by LKB1 deficiency promote carcinogenesis and non-neoplastic diseases. The metabolic reprogramming resulting from the loss of LKB1 confers cancer cells with growth or survival advantages. Nevertheless, it also causes a metabolic frangibility for LKB1-deficient cancer cells. The metabolic regulation of LKB1 also plays a vital role in maintaining cellular phenotype in the progression of non-neoplastic diseases. In addition, lipid metabolic regulation of LKB1 plays an important role in controlling the function, activity, proliferation, and differentiation of several types of immune cells. We conclude that in-depth knowledge of metabolic pathways regulated by LKB1 is conducive to identifying therapeutic targets and developing drug combinations to treat cancers and metabolic diseases and achieve immunoregulation.

25 August 2022 in Biomedicine & Pharmacotherapy
Verified
Journal Article
Open access
SHShiming Hao
Shiming Hao
QMQingfei Meng
Qingfei Meng
HSHuihui Sun
Huihui Sun
YLYunkuo Li
Yunkuo Li
YLYao Li
Yao Li
YWYishu Wang
Yishu Wang
Transketolase (TKT) is an enzyme that is ubiquitously expressed in all living organisms and has been identified as an important regulator of cancer. Recent studies have shown that the TKT family includes the TKT gene and two TKT-like (TKTL) genes; TKTL1 and TKTL2. TKT and TKTL1 have been reported to be involved in the regulation of multiple cancer-related events, such as cancer cell proliferation, metastasis, invasion, epithelial-mesenchymal transition, chemoradiotherapy resistance, and patient survival and prognosis. Therefore, TKT may be an ideal target for cancer treatment. More importantly, the levels of TKTL1 were detected using EDIM technology for the early detection of some malignancies, and TKTL1 was more sensitive and specific than traditional tumor markers. Detecting TKTL1 levels before and after surgery could be used to evaluate the surgery's effect. While targeted TKT suppresses cancer in multiple ways, in some cases, it has detrimental effects on the organism. In this review, we discuss the role of TKT in different tumors and the detailed mechanisms while evaluating its value and limitations in clinical applications. Therefore, this review provides a basis for the clinical application of targeted therapy for TKT in the future, and a strategy for subsequent cancer-related research.

21 August 2019 in Oncology Reports
Verified
Journal Article
Open access
PDF file
FLFaping Li
Faping Li
HGHui Guo
Hui Guo
YYYuxuan Yang
Yuxuan Yang
MFMingliang Feng
Mingliang Feng
BLBin Liu
Bin Liu
HZHonglan Zhou
Honglan Zhou
Bladder cancer (BC) is a potentially life‑threatening malignancy. Due to a high recurrence rate, frequent surveillance strategies and intravesical drug therapies, BC is considered one of the most expensive tumors to treat. As a fundamental evolutionary catabolic process, autophagy plays an important role in the maintenance of cellular environmental homeostasis by degrading and recycling damaged cytoplasmic components, including macromolecules and organelles. Scientific studies in the last two decades have shown that autophagy acts as a double‑edged sword with regard to the treatment of cancer. On one hand, autophagy inhibition is able to increase the sensitivity of cancer cells to treatment, a process known as protective autophagy. On the other hand, autophagy overactivation may lead to cell death, referred to as autophagic cell death, similar to apoptosis. Therefore, it is essential to identify the role of autophagy in cancer cells in order to develop novel therapeutic agents. In addition, autophagy may potentially become a novel therapeutic target in human diseases. In this review, the current knowledge on autophagy modulation in BC development and treatment is summarized.

28 July 2020 in Frontiers in Oncology
Verified
Journal Article
Open access
PDF file
FLFaping Li
Faping Li
HTHaolin Teng
Haolin Teng
MLMingdi Liu
Mingdi Liu
BLBin Liu
Bin Liu
DZDifei Zhang
Difei Zhang
HZHonglan Zhou
Honglan Zhou
The tumor microenvironment (TME) is a complex system that plays an important role in tumor development and progression, but the current knowledge about its effect on bladder cancer (BC) is scarce. In this study, we performed a comprehensive analysis of the relationship between the TME and gene expression profiles to identify prognostic biomarkers for BC. The ESTIMATE algorithm was used to calculate immune and stromal scores of BC patients who were obtained from the Gene Expression Omnibus database. We found that the immune and stromal scores were associated with clinical characteristics and the prognosis of BC patients. Based on these scores, 104 immune-related differentially expressed genes were identified. Further, functional enrichment analysis revealed that these genes were mainly involved in the immune-related biological processes and signaling pathways. Three prognostic genes were then identified and used to establish a risk prediction model using Cox regression analyses. Kaplan–Meier survival analysis showed that the expression levels of COL1A1, COMP, and SERPINE2 significantly correlated with cancer-specific survival and overall survival of BC patients. Additionally, we validated the prognostic values of these genes using two independent cohorts from The Cancer Genome Atlas and Gene Expression Omnibus databases. Finally, the relationships between the three prognostic genes and several immune cells were evaluated using Tumor Immune Estimation Resource, indicating that the expression levels of COL1A1, COMP, and SERPINE2 correlated positively with the tumor infiltration levels of CD4+ T cells and macrophages. In conclusion, the current study comprehensively analyzed the TME and presented immune-related prognostic genes for BC, providing new insights into immunotherapeutic strategies for BC patients.

1 August 2015 in The American Journal of Surgery
Verified
Journal Article
Closed access
WWWeigang Wang
Weigang Wang
PLPing Li
Ping Li
YWYishu Wang
Yishu Wang
YWYuantao Wang
Yuantao Wang
ZMZhiyong Ma
Zhiyong Ma
HZHonglan Zhou
Honglan Zhou

1 August 2020 in International Immunopharmacology
Verified
Journal Article
Closed access
FLFaping Li
Faping Li
HGHui Guo
Hui Guo
YWYishu Wang
Yishu Wang
BLBin Liu
Bin Liu
HZHonglan Zhou
Honglan Zhou