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Ortmann BM, Taylor CT, Rocha S. Hypoxia research, where to now? Trends Biochem Sci 2024; 49:573-582. [PMID: 38599898 DOI: 10.1016/j.tibs.2024.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 03/01/2024] [Accepted: 03/18/2024] [Indexed: 04/12/2024]
Abstract
Investigating how cells and organisms sense and respond to O2 levels is essential to our understanding of physiology and pathology. This field has advanced considerably since the discovery of the major transcription factor family, hypoxia-inducible factor (HIF), and the enzymes that control its levels: prolyl hydroxylases (PHDs). However, with its expansion, new complexities have emerged. Herein we highlight three main areas where, in our opinion, the research community could direct some of their attention. These include non-transcriptional roles of HIFs, specificity and O2 sensitivity of 2-oxoglutarate-dependent dioxygenases (2-OGDDs), and new tools and methods to detect O2 concentrations in cells and organs. A greater understanding of these areas would answer big questions and help drive our knowledge of cellular responses to hypoxia forward.
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Affiliation(s)
- Brian M Ortmann
- Wolfson Childhood Cancer Research Centre, Newcastle University, Newcastle upon Tyne, UK.
| | - Cormac T Taylor
- School of Medicine and Medical Sciences, University College Dublin, Dublin, Ireland.
| | - Sonia Rocha
- Institute of Systems Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
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2
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Yang M, Mu Y, Yu X, Gao D, Zhang W, Li Y, Liu J, Sun C, Zhuang J. Survival strategies: How tumor hypoxia microenvironment orchestrates angiogenesis. Biomed Pharmacother 2024; 176:116783. [PMID: 38796970 DOI: 10.1016/j.biopha.2024.116783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/07/2024] [Accepted: 05/17/2024] [Indexed: 05/29/2024] Open
Abstract
During tumor development, the tumor itself must continuously generate new blood vessels to meet their growth needs while also allowing for tumor invasion and metastasis. One of the most common features of tumors is hypoxia, which drives the process of tumor angiogenesis by regulating the tumor microenvironment, thus adversely affecting the prognosis of patients. In addition, to overcome unsuitable environments for growth, such as hypoxia, nutrient deficiency, hyperacidity, and immunosuppression, the tumor microenvironment (TME) coordinates angiogenesis in several ways to restore the supply of oxygen and nutrients and to remove metabolic wastes. A growing body of research suggests that tumor angiogenesis and hypoxia interact through a complex interplay of crosstalk, which is inextricably linked to the TME. Here, we review the TME's positive contribution to angiogenesis from an angiogenesis-centric perspective while considering the objective impact of hypoxic phenotypes and the status and limitations of current angiogenic therapies.
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Affiliation(s)
- Mengrui Yang
- College of Traditional Chinese Medicine, Shandong Second Medical University, Weifang 261053, China
| | - Yufeng Mu
- First School of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Xiaoyun Yu
- College of Traditional Chinese Medicine, Shandong Second Medical University, Weifang 261053, China
| | - Dandan Gao
- College of Traditional Chinese Medicine, Shandong Second Medical University, Weifang 261053, China
| | - Wenfeng Zhang
- College of Traditional Chinese Medicine, Shandong Second Medical University, Weifang 261053, China
| | - Ye Li
- Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, 999078, Macao Special Administrative Region of China
| | - Jingyang Liu
- Faculty of Chinese Medicine and State Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, 999078, Macao Special Administrative Region of China
| | - Changgang Sun
- College of Traditional Chinese Medicine, Shandong Second Medical University, Weifang 261053, China; Department of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, China.
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang 261000, China.
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Lee SY, Lee E, Lim JU, Ku B, Seong YJ, Ryu JO, Cho HJ, Kim K, Hwang Y, Moon SW, Moon MH, Kim KS, Hyun K, Kim TJ, Sung YE, Choi JY, Park CK, Kim SW, Yeo CD, Kim SJ, Lee DW. U-Shape Pillar Strip for 3D Cell-Lumped Organoid Model (3D-COM) Mimicking Lung Cancer Hypoxia Conditions in High-Throughput Screening (HTS). Anal Chem 2024; 96:10246-10255. [PMID: 38858132 DOI: 10.1021/acs.analchem.4c00890] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
Hypoxia is a representative tumor characteristic associated with malignant progression in clinical patients. Engineered in vitro models have led to significant advances in cancer research, allowing for the investigation of cells in physiological environments and the study of disease mechanisms and processes with enhanced relevance. In this study, we propose a U-shape pillar strip for a 3D cell-lumped organoid model (3D-COM) to study the effects of hypoxia on lung cancer in a high-throughput manner. We developed a U-pillar strip that facilitates the aggregation of PDCs mixed with an extracellular matrix to make the 3D-COM in 384-plate array form. The response to three hypoxia-activated prodrugs was higher in the 3D-COM than in the 2D culture model. The protein expression of hypoxia-inducible factor 1 alpha (HIF-1α) and HIF-2α, which are markers of hypoxia, was also higher in the 3D-COM than in the 2D culture. The results show that 3D-COM better recapitulated the hypoxic conditions of lung cancer tumors than the 2D culture. Therefore, the U-shape pillar strip for 3D-COM is a good tool to study the effects of hypoxia on lung cancer in a high-throughput manner, which can efficiently develop new drugs targeting hypoxic tumors.
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Affiliation(s)
- Sang-Yun Lee
- Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
| | - Eunyoung Lee
- Division of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Jeong Uk Lim
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Bosung Ku
- Central R & D Center, Medical & Bio Decision (MBD) Co., Ltd, Suwon 16229, Republic of Korea
| | - Yu-Jeong Seong
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
| | - Ji-O Ryu
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
| | - Hyeong Jun Cho
- Division of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Postech-Catholic Biomedical Engineering Institute, Songeui Multiplex Hall, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Kyuhwan Kim
- Division of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Postech-Catholic Biomedical Engineering Institute, Songeui Multiplex Hall, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Yongki Hwang
- Division of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Postech-Catholic Biomedical Engineering Institute, Songeui Multiplex Hall, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Seok Whan Moon
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Mi Hyoung Moon
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Kyung Soo Kim
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Kwanyong Hyun
- Department of Thoracic and Cardiovascular Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Tae-Jung Kim
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Yeoun Eun Sung
- Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Joon Young Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Chan Kwon Park
- Division of Pulmonary, Critical Care and Allergy, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Sung Won Kim
- Department of Otorhinolaryngology-Head and Neck Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Department of Biomedicine & Health Sciences, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Chang Dong Yeo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 03312, Republic of Korea
| | - Seung Joon Kim
- Division of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
- Postech-Catholic Biomedical Engineering Institute, Songeui Multiplex Hall, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea
| | - Dong Woo Lee
- Department of Biomedical Engineering, Gachon University, Seongnam 13120, Republic of Korea
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Sadozai H, Acharjee A, Kayani HZ, Gruber T, Gorczynski RM, Burke B. High hypoxia status in pancreatic cancer is associated with multiple hallmarks of an immunosuppressive tumor microenvironment. Front Immunol 2024; 15:1360629. [PMID: 38510243 PMCID: PMC10951397 DOI: 10.3389/fimmu.2024.1360629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 02/12/2024] [Indexed: 03/22/2024] Open
Abstract
Introduction Pancreatic ductal adenocarcinoma (PDAC), the most common form of pancreatic cancer, is a particularly lethal disease that is often diagnosed late and is refractory to most forms of treatment. Tumour hypoxia is a key hallmark of PDAC and is purported to contribute to multiple facets of disease progression such as treatment resistance, increased invasiveness, metabolic reprogramming, and immunosuppression. Methods We used the Buffa gene signature as a hypoxia score to profile transcriptomics datasets from PDAC cases. We performed cell-type deconvolution and gene expression profiling approaches to compare the immunological phenotypes of cases with low and high hypoxia scores. We further supported our findings by qPCR analyses in PDAC cell lines cultured in hypoxic conditions. Results First, we demonstrated that this hypoxia score is associated with increased tumour grade and reduced survival suggesting that this score is correlated to disease progression. Subsequently, we compared the immune phenotypes of cases with high versus low hypoxia score expression (HypoxiaHI vs. HypoxiaLOW) to show that high hypoxia is associated with reduced levels of T cells, NK cells and dendritic cells (DC), including the crucial cDC1 subset. Concomitantly, immune-related gene expression profiling revealed that compared to HypoxiaLOW tumours, mRNA levels for multiple immunosuppressive molecules were notably elevated in HypoxiaHI cases. Using a Random Forest machine learning approach for variable selection, we identified LGALS3 (Galectin-3) as the top gene associated with high hypoxia status and confirmed its expression in hypoxic PDAC cell lines. Discussion In summary, we demonstrated novel associations between hypoxia and multiple immunosuppressive mediators in PDAC, highlighting avenues for improving PDAC immunotherapy by targeting these immune molecules in combination with hypoxia-targeted drugs.
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Affiliation(s)
- Hassan Sadozai
- Centre for Health and Life Sciences, Coventry University, Coventry, United Kingdom
| | - Animesh Acharjee
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Hateem Z. Kayani
- Centre for Health and Life Sciences, Coventry University, Coventry, United Kingdom
| | - Thomas Gruber
- Independent Scholar, National Coalition of Independent Scholars, Visp, Switzerland
| | | | - Bernard Burke
- Centre for Health and Life Sciences, Coventry University, Coventry, United Kingdom
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Li Z, Cui Y, Zhang S, Xu J, Shao J, Chen H, Chen J, Wang S, Zeng M, Zhang H, Lu S, Qian ZR, Xing G. Novel hypoxia-related gene signature for predicting prognoses that correlate with the tumor immune microenvironment in NSCLC. Front Genet 2023; 14:1115308. [PMID: 37091782 PMCID: PMC10115983 DOI: 10.3389/fgene.2023.1115308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Accepted: 03/16/2023] [Indexed: 04/25/2023] Open
Abstract
Background: Intratumoral hypoxia is widely associated with the development of malignancy, treatment resistance, and worse prognoses. The global influence of hypoxia-related genes (HRGs) on prognostic significance, tumor microenvironment characteristics, and therapeutic response is unclear in patients with non-small cell lung cancer (NSCLC). Method: RNA-seq and clinical data for NSCLC patients were derived from The Cancer Genome Atlas (TCGA) database, and a group of HRGs was obtained from the MSigDB. The differentially expressed HRGs were determined using the limma package; prognostic HRGs were identified via univariate Cox regression. Using the least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression, an optimized prognostic model consisting of nine HRGs was constructed. The prognostic model's capacity was evaluated by Kaplan‒Meier survival curve analysis and receiver operating characteristic (ROC) curve analysis in the TCGA (training set) and GEO (validation set) cohorts. Moreover, a potential biological pathway and immune infiltration differences were explained. Results: A prognostic model containing nine HRGs (STC2, ALDOA, MIF, LDHA, EXT1, PGM2, ENO3, INHA, and RORA) was developed. NSCLC patients were separated into two risk categories according to the risk score generated by the hypoxia model. The model-based risk score had better predictive power than the clinicopathological method. Patients in the high-risk category had poor recurrence-free survival in the TCGA (HR: 1.426; 95% CI: 0.997-2.042; p = 0.046) and GEO (HR: 2.4; 95% CI: 1.7-3.2; p < 0.0001) cohorts. The overall survival of the high-risk category was also inferior to that of the low-risk category in the TCGA (HR: 1.8; 95% CI: 1.5-2.2; p < 0.0001) and GEO (HR: 1.8; 95% CI: 1.4-2.3; p < 0.0001) cohorts. Additionally, we discovered a notable distinction in the enrichment of immune-related pathways, immune cell abundance, and immune checkpoint gene expression between the two subcategories. Conclusion: The proposed 9-HRG signature is a promising indicator for predicting NSCLC patient prognosis and may be potentially applicable in checkpoint therapy efficiency prediction.
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Affiliation(s)
- Zhaojin Li
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
| | - Yu Cui
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
| | - Shupeng Zhang
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
- *Correspondence: Shupeng Zhang,
| | - Jie Xu
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
| | - Jianping Shao
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
| | - Hekai Chen
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
| | - Jingzhao Chen
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Shun Wang
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Meizhai Zeng
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Hao Zhang
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Siqian Lu
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Zhi Rong Qian
- Beidou Precision Medicine Institute, Guangzhou, China
| | - Guoqiang Xing
- Department of General Surgery, Tianjin Fifth Central Hospital, Tianjin, China
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Sun Q, Wang H, Xiao B, Xue D, Wang G. Development and Validation of a 6-Gene Hypoxia-Related Prognostic Signature For Cholangiocarcinoma. Front Oncol 2022; 12:954366. [PMID: 35924146 PMCID: PMC9339701 DOI: 10.3389/fonc.2022.954366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 06/21/2022] [Indexed: 11/22/2022] Open
Abstract
Cholangiocarcinoma (CHOL) is highly malignant and has a poor prognosis. This study is committed to creating a new prognostic model based on hypoxia related genes. Here, we established a novel tumor hypoxia-related prognostic model consisting of 6 hypoxia-related genes by univariate Cox regression and the least absolute shrinkage and selection operator (LASSO) algorithm to predict CHOL prognosis and then the risk score for each patient was calculated. The results showed that the patients with high-risk scores had poor prognosis compared with those with low-risk scores, which was verified as an independent predictor by multivariate analysis. The hypoxia-related prognostic model was validated in both TCGA and GEO cohorts and exhibited excellent performance in predicting overall survival in CHOL. The PPI results suggested that hypoxia-related genes involved in the model may play a central role in regulating the hypoxic state. In addition, the presence of IDH1 mutations in the high-risk group was high, and GSEA results showed that some metabolic pathways were upregulated, but immune response processes were generally downregulated. These factors may be potential reasons for the high-risk group with worse prognosis. The analysis of different immune regulation-related processes in the high- and low-risk groups revealed that the expression of genes related to immune checkpoints would show differences between these two groups. We further verified the expression of the oncogene PPFIA4 in the model, and found that compared with normal samples, CHOL patients were generally highly expressed, and the patients with high-expression of PPFIA4 had a poor prognosis. In summary, the present study may provide a valid prognostic model for bile duct cancer to inform better clinical management of patients.
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Affiliation(s)
- Qi Sun
- Department of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Huxia Wang
- Mammary Department, Shaanxi Provincial Cancer Hospital, Xi’an, China
| | - Baoan Xiao
- Department of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Dong Xue
- Department of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Guanghui Wang
- Department of General Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Guanghui Wang,
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Deng L, Long F, Wang T, Dai L, Chen H, Yang Y, Xie G. Identification of an Immune Classification and Prognostic Genes for Lung Adenocarcinoma Based on Immune Cell Signatures. Front Med (Lausanne) 2022; 9:855387. [PMID: 35433762 PMCID: PMC9005848 DOI: 10.3389/fmed.2022.855387] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 02/23/2022] [Indexed: 12/25/2022] Open
Abstract
ObjectiveCurrent advances in immunotherapy requires accurate tumor sub-classification due to the heterogeneity of lung adenocarcinoma (LUAD). This study aimed to develop a LUAD sub-classification system based on immune cell signatures and identified prognostic gene markers.MethodsSignatures related to the prognosis of TCGA-LUAD and 4 GSE cohorts were screened and intersected from 184 previously published immune cell signatures. The LUAD samples in the TCGA were clustered by ConsensusClusterPlus. Molecular characteristics, immune characteristics and sensitivity to immunotherapies/chemotherapies were compared. LDA score was established through Linear Discriminant Analysis (LDA). Co-expression module was constructed by Weighted Gene Co-Expression Network Analysis (WGCNA).ResultsFour LUAD subtypes with different molecular and immune characteristics were identified. Significant differences in prognosis among the four subtypes were observed. The IS1 subtype with the worst prognosis showed the highest number of TMB, mutant genes, IFN γ score, angiogenesis score and immune score. Twenty co-expression modules were generated by WGCNA. Blue module, sky blue module and light yellow module were significantly correlated with LUAD prognosis. The hub genes (CCDC90B, ARNTL2, RIPK2, SMCO2 and ADA and NBN) showing great prognostic significance were identified from the blue module. A total of 8 hub genes (NLRC3, CLEC2D, GIMAP5, CXorf65, PARP15, AKNA, ZC3H12D, and ARRDC5) were found in the light yellow module. Except for CXorf65, the expression of the other seven genes were significantly correlated with LUAD prognosis.ConclusionThis study determined four LUAD subtypes with different molecular and immune characteristics and 13 genes closely related to the prognosis of LUAD. The current findings could help understand the heterogeneity of LUAD immune classes.
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Affiliation(s)
- Lili Deng
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
- Chongqing Health Statistics Information Center, Chongqing, China
| | - Fei Long
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Ting Wang
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Ling Dai
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Huajian Chen
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
- Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Yujun Yang
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
- *Correspondence: Guoming Xie
| | - Guoming Xie
- Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
- Yujun Yang
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