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Chen J, Li L, Feng Y, Zhao Y, Sun F, Zhou X, Yiqi D, Li Z, Kong F, Kong X. MKLN1-AS promotes pancreatic cancer progression as a crucial downstream mediator of HIF-1α through miR-185-5p/TEAD1 pathway. Cell Biol Toxicol 2024; 40:30. [PMID: 38740637 PMCID: PMC11090931 DOI: 10.1007/s10565-024-09863-8] [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: 11/15/2023] [Accepted: 03/25/2024] [Indexed: 05/16/2024]
Abstract
In pancreatic ductal adenocarcinomas (PDAC), profound hypoxia plays key roles in regulating cancer cell behavior, including proliferation, migration, and resistance to therapies. The initial part of this research highlights the important role played by long noncoding RNA (lncRNA) MKLN1-AS, which is controlled by hypoxia-inducible factor-1 alpha (HIF-1α), in the progression of PDAC. Human samples of PDAC showed a notable increase in MKLN1-AS expression, which was linked to a worse outcome. Forced expression of MKLN1-AS greatly reduced the inhibitory impact on the growth and spread of PDAC cells caused by HIF-1α depletion. Experiments on mechanisms showed that HIF-1α influences the expression of MKLN1-AS by directly attaching to a hypoxia response element in the promoter region of MKLN1-AS.MKLN1-AS acts as a competitive endogenous RNA (ceRNA) by binding to miR-185-5p, resulting in the regulation of TEAD1 expression and promoting cell proliferation, migration, and tumor growth. TEAD1 subsequently enhances the development of PDAC. Our study results suggest that MKLN1-AS could serve as a promising target for treatment and a valuable indicator for predicting outcomes in PDAC. PDAC is associated with low oxygen levels, and the long non-coding RNA MKLN1-AS interacts with TEAD1 in this context.
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MESH Headings
- Animals
- Humans
- Mice
- Carcinoma, Pancreatic Ductal/genetics
- Carcinoma, Pancreatic Ductal/metabolism
- Carcinoma, Pancreatic Ductal/pathology
- Cell Line, Tumor
- Cell Movement/genetics
- Cell Proliferation/genetics
- Disease Progression
- DNA-Binding Proteins/metabolism
- DNA-Binding Proteins/genetics
- Gene Expression Regulation, Neoplastic/genetics
- Hypoxia-Inducible Factor 1, alpha Subunit/metabolism
- Hypoxia-Inducible Factor 1, alpha Subunit/genetics
- Mice, Nude
- MicroRNAs/genetics
- MicroRNAs/metabolism
- Nuclear Proteins/metabolism
- Nuclear Proteins/genetics
- Pancreatic Neoplasms/genetics
- Pancreatic Neoplasms/pathology
- Pancreatic Neoplasms/metabolism
- RNA, Long Noncoding/genetics
- RNA, Long Noncoding/metabolism
- Signal Transduction/genetics
- TEA Domain Transcription Factors/metabolism
- Transcription Factors/metabolism
- Transcription Factors/genetics
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Affiliation(s)
- Jiayu Chen
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, 200433, China
- National key laboratory of Immunity and inflammation, Naval Medical University, Shanghai, 200433, China
| | - Lei Li
- Digestive Endoscopy Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yongpu Feng
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
| | - Yating Zhao
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
- National key laboratory of Immunity and inflammation, Naval Medical University, Shanghai, 200433, China
| | - Fengyuan Sun
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, 200433, China
- National key laboratory of Immunity and inflammation, Naval Medical University, Shanghai, 200433, China
| | - Xianzhu Zhou
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China
- Shanghai Institute of Pancreatic Diseases, Shanghai, 200433, China
| | - Du Yiqi
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
| | - Zhaoshen Li
- Department of Gastroenterology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
| | - Fanyang Kong
- Shanghai Institute of Pancreatic Diseases, Shanghai, 200433, China.
| | - Xiangyu Kong
- National key laboratory of Immunity and inflammation, Naval Medical University, Shanghai, 200433, China.
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2
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Wang X, Wang X. The regulation of hypoxia-related lncRNAs in hepatocellular carcinoma. Discov Oncol 2024; 15:144. [PMID: 38713276 PMCID: PMC11076439 DOI: 10.1007/s12672-024-01002-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/30/2024] [Indexed: 05/08/2024] Open
Abstract
Hepatocellular carcinoma (HCC) is still a public health disease with its high prevalence and morbidity. Short of early diagnosis biomarkers and effective therapy, the treatment of HCC patients hasn't achieved ideal effect. Hypoxia is a hallmark of HCC, which is mainly induced by imbalance of tumor cell proliferation and insufficient supply of oxygen. Recently, amounting evidence suggested lncRNAs, especially hypoxia-related lncRNAs play a pivotal role in regulating HCC. Hypoxia-related lncRNAs are involved in altering glucose metabolism, maintaining of cancer stem cell-like properties (CSCs), cell apotosis, proliferation and immune escape, which all contribute to the poor prognosis of HCC patients. The novel identified hypoxia-related lncRNAs could be the potential target or biomarkers of HCC, which are beneficial to the clinical treatment. Herein, we summarized currently reported hypoxia-related lncRNAs and their related mechanisms, providing potential application and future perspective of hypoxia-related lncRNAs as a potential therapeutic target.
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Affiliation(s)
- Xuejing Wang
- Department of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China
| | - Xiaojun Wang
- Department of Integrated Traditional Chinese and Western Medicine, Beijing Youan Hospital, Capital Medical University, Beijing, 100069, China.
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Zhang Q, Huang Y, Xia Y, Liu Y, Gan J. Cuproptosis-related lncRNAs predict the prognosis and immune response in hepatocellular carcinoma. Clin Exp Med 2023; 23:2051-2064. [PMID: 36153416 DOI: 10.1007/s10238-022-00892-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 09/09/2022] [Indexed: 11/03/2022]
Abstract
Cuproptosis has been recently used to indicate unique biological processes triggered by Cu action as a new term. This study aimed to explore the relationship between cuproptosis-related lncRNA and hepatocellular carcinoma (HCC) with regard to immunity and prognosis. RNA sequencing and the clinical data were downloaded from the TCGA database. The cuproptosis-related genes were sorted out through literature study. The cuproptosis-related IncRNA signature was identified by Cox regression analysis and the least absolute shrinkage and selection operator analysis. The K-M survival analysis, receiver operating characteristic analysis, and C-index analysis were adopted to evaluate the prognostic prediction performance of the signature. The functional enrichment, immune infiltration and tumor mutation analysis were further analyzed. Subsequently, we predicted the differences in chemosensitivity from tumor gene expression levels for some chemotherapy drugs. The prognostic signature consisting of 5 overall survival-related CUPlncRNAs. It showed an extraordinary ability to predict the prognoses of patients with HCC. The signature can predict the abundance of immune cell infiltration, immune functions, expression of immune checkpoint inhibitors, m6A genes, which was supported by the GO biological process and KEGG analysis. And it may also have a guiding effect in the sensitivity of different chemotherapeutic drugs and tumor mutation burden. We constructed a new cuproptosis-related lncRNA signature for HCC patients. The model can be used for prognostic prediction and immune evaluation, providing a reference for immunotherapies and targeted therapies.
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Affiliation(s)
- Qiongyue Zhang
- Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China
| | - Yan Huang
- Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China
| | - Yu Xia
- Department of Orthopaedics, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China
| | - Yumeng Liu
- Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China
| | - Jianhe Gan
- Department of Infectious Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 215006, Jiangsu, People's Republic of China.
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4
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Yu F, He H, Zhou Y. Roles, biological functions, and clinical significances of RHPN1-AS1 in cancer. Pathol Res Pract 2023; 248:154589. [PMID: 37285733 DOI: 10.1016/j.prp.2023.154589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/20/2023] [Accepted: 05/30/2023] [Indexed: 06/09/2023]
Abstract
For the complex and multifaceted challenge of cancer eradication, a comprehensive approach is required. Molecular strategies are critical in the fight against cancer as they allow us to understand the underlying fundamental mechanisms and develop specialized treatments. The role of long non-coding RNAs (lncRNAs), a class of ncRNA molecules longer than 200 nucleotides, in cancer biology has attracted growing attention in recent years. These roles include but are not limited to regulating gene expression, protein localization, and chromatin remodeling. LncRNAs can influence a range of cellular functions and pathways, including those involved in cancer development. The first study on RHPN1 antisense RNA 1 (RHPN1-AS1), a 2030-bp transcript originating from human chromosome 8q24, in uveal melanoma (UM) demonstrated that this lncRNA was significantly upregulated in several UM cell lines. Further studies in various cancer cell lines showed that this lncRNA is significantly overexpressed and exerts oncogenic functions. This review will provide an overview of current knowledge regarding the roles played by RHPN1-AS1 in the emergence of various cancers, focusing on its biological and clinical functions.
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Affiliation(s)
- Fan Yu
- Clinical Laboratory Medical Center, Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China
| | - Haihong He
- Clinical Laboratory Medical Center, Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China
| | - Yiwen Zhou
- Clinical Laboratory Medical Center, Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China.
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Lu S, Liu X, Wu C, Zhang J, Stalin A, Huang Z, Tan Y, Wu Z, You L, Ye P, Fu C, Zhang X, Wu J. Identification of an immune-related 6-lncRNA panel with a good performance for prognostic prediction in hepatocellular carcinoma by integrated bioinformatics analysis. Medicine (Baltimore) 2023; 102:e33990. [PMID: 37478241 PMCID: PMC10662904 DOI: 10.1097/md.0000000000033990] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 05/23/2023] [Indexed: 07/23/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the most malignant tumors with a poor prognosis. The long non-coding RNA (lncRNA) has been found to have great potential as a prognostic biomarker or therapeutic target for cancer patients. However, the prognostic value and tumor immune infiltration of lncRNAs in HCC has yet to be fully elucidated. To identify prognostic biomarkers of lncRNA in HCC by integrated bioinformatics analysis and explore their functions and relationship with tumor immune infiltration. The prognostic risk assessment model for HCC was constructed by comprehensively using univariate/multivariate Cox regression analysis, Kaplan-Meier survival analysis, and the least absolute shrinkage and selection operator regression analysis. Subsequently, the accuracy, independence, and sensitivity of our model were evaluated, and a nomogram for individual prediction in the clinic was constructed. Tumor immune microenvironment (TIME), immune checkpoints, and human leukocyte antigen alleles were compared in high- and low-risk patients. Finally, the functions of our lncRNA signature were examined using Gene Ontology, Kyoto Encyclopedia of Genes and Genomes enrichment analysis, and gene set enrichment analysis. A 6-lncRNA panel of HCC consisting of RHPN1-AS1, LINC01224, CTD-2510F5.4, RP1-228H13.5, LINC01011, and RP11-324I22.4 was eventually identified, and show good performance in predicting the survivals of patients with HCC and distinguishing the immunomodulation of TIME of high- and low-risk patients. Functional analysis also suggested that this 6-lncRNA panel may play an essential role in promoting tumor progression and immune regulation of TIME. In this study, 6 potential lncRNAs were identified as the prognostic biomarkers in HCC, and the regulatory mechanisms involved in HCC were initially explored.
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Affiliation(s)
- Shan Lu
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Xinkui Liu
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Chao Wu
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Jingyuan Zhang
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Antony Stalin
- Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China
| | - Zhihong Huang
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Yingying Tan
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Zhishan Wu
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Leiming You
- Department of Immunology and Microbiology, School of Life Science, Beijing University of Chinese Medicine, Beijing, China
| | - Peizhi Ye
- National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Changgeng Fu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaomeng Zhang
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
| | - Jiarui Wu
- Department of Clinical Chinese Pharmacy, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing, China
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6
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Fu Y, Si A, Wei X, Lin X, Ma Y, Qiu H, Guo Z, Pan Y, Zhang Y, Kong X, Li S, Shi Y, Wu H. Combining a machine-learning derived 4-lncRNA signature with AFP and TNM stages in predicting early recurrence of hepatocellular carcinoma. BMC Genomics 2023; 24:89. [PMID: 36849926 PMCID: PMC9972730 DOI: 10.1186/s12864-023-09194-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 02/17/2023] [Indexed: 03/01/2023] Open
Abstract
BACKGROUND Near 70% of hepatocellular carcinoma (HCC) recurrence is early recurrence within 2-year post surgery. Long non-coding RNAs (lncRNAs) are intensively involved in HCC progression and serve as biomarkers for HCC prognosis. The aim of this study is to construct a lncRNA-based signature for predicting HCC early recurrence. METHODS Data of RNA expression and associated clinical information were accessed from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) database. Recurrence associated differentially expressed lncRNAs (DELncs) were determined by three DEG methods and two survival analyses methods. DELncs involved in the signature were selected by three machine learning methods and multivariate Cox analysis. Additionally, the signature was validated in a cohort of HCC patients from an external source. In order to gain insight into the biological functions of this signature, gene sets enrichment analyses, immune infiltration analyses, as well as immune and drug therapy prediction analyses were conducted. RESULTS A 4-lncRNA signature consisting of AC108463.1, AF131217.1, CMB9-22P13.1, TMCC1-AS1 was constructed. Patients in the high-risk group showed significantly higher early recurrence rate compared to those in the low-risk group. Combination of the signature, AFP and TNM further improved the early HCC recurrence predictive performance. Several molecular pathways and gene sets associated with HCC pathogenesis are enriched in the high-risk group. Antitumor immune cells, such as activated B cell, type 1 T helper cell, natural killer cell and effective memory CD8 T cell are enriched in patients with low-risk HCCs. HCC patients in the low- and high-risk group had differential sensitivities to various antitumor drugs. Finally, predictive performance of this signature was validated in an external cohort of patients with HCC. CONCLUSION Combined with TNM and AFP, the 4-lncRNA signature presents excellent predictability of HCC early recurrence.
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Affiliation(s)
- Yi Fu
- grid.507037.60000 0004 1764 1277Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.507037.60000 0004 1764 1277Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.507037.60000 0004 1764 1277School of Medical Instruments, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Anfeng Si
- grid.41156.370000 0001 2314 964XDepartment of Surgical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Xindong Wei
- grid.412585.f0000 0004 0604 8558Central Laboratory, Department of Liver Diseases, Shuguang Hospital, Shanghai University of Chinese Traditional Medicine, Shanghai, China
| | - Xinjie Lin
- grid.507037.60000 0004 1764 1277Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.507037.60000 0004 1764 1277Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Yujie Ma
- grid.507037.60000 0004 1764 1277Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.507037.60000 0004 1764 1277Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China
| | - Huimin Qiu
- grid.507037.60000 0004 1764 1277Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.267139.80000 0000 9188 055XSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhinan Guo
- grid.507037.60000 0004 1764 1277Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China ,grid.412543.50000 0001 0033 4148School of Kinesiology, Shanghai University of Sport, Shanghai, China
| | - Yong Pan
- grid.268099.c0000 0001 0348 3990Department of Infectious Disease, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, China
| | - Yiru Zhang
- grid.268099.c0000 0001 0348 3990Department of Infectious Disease, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, China
| | - Xiaoni Kong
- grid.412585.f0000 0004 0604 8558Central Laboratory, Department of Liver Diseases, Shuguang Hospital, Shanghai University of Chinese Traditional Medicine, Shanghai, China
| | - Shibo Li
- Department of Infectious Disease, Zhoushan Hospital, Wenzhou Medical University, Zhoushan, China.
| | - Yanjun Shi
- Abdominal Transplantation Center, General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
| | - Hailong Wu
- Shanghai Key Laboratory of Molecular Imaging, Zhoupu Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, China. .,Collaborative Innovation Center for Biomedicines, Shanghai University of Medicine and Health Sciences, Shanghai, China. .,School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. .,School of Kinesiology, Shanghai University of Sport, Shanghai, China.
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7
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Zhang Y, Zhang J, Wang F, Wang L. Hypoxia-Related lncRNA Prognostic Model of Ovarian Cancer Based on Big Data Analysis. JOURNAL OF ONCOLOGY 2023; 2023:6037121. [PMID: 37064863 PMCID: PMC10104744 DOI: 10.1155/2023/6037121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 09/26/2022] [Accepted: 10/03/2022] [Indexed: 04/18/2023]
Abstract
Background Hypoxia is regarded as a key factor in promoting the occurrence and development of ovarian cancer. In ovarian cancer, hypoxia promotes cell proliferation, epithelial to mesenchymal transformation, invasion, and metastasis. Long non-coding RNAs (lncRNAs) are extensively involved in the regulation of many cellular mechanisms, i.e., gene expression, cell growth, and cell cycle. Materials and Methods In our study, a hypoxia-related lncRNA prediction model was established by applying LASSO-penalized Cox regression analysis in public databases. Patients with ovarian cancer were divided into two groups based on the median risk score. The survival rate was analyzed in the Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) datasets, and the mechanisms were investigated. Results Through the prognostic analysis of DElncRNAs (differentially expressed long non-coding RNAs), a total of 5 lncRNAs were found to be closely associated with OS (overall survival) in ovarian cancer patients. It was evaluated through Kaplan-Meier analysis that low-risk patients can live longer than high-risk patients (TCGA: p = 1.302e - 04; ICGC: 1.501e - 03). The distribution of risk scores and OS status revealed that higher risk score will lead to lower OS. It was evaluated that low-risk group had higher immune score (p = 0.0064) and lower stromal score (p = 0.00023). Conclusion It was concluded that a hypoxia-related lncRNA model can be used to predict the prognosis of ovarian cancer. Our designed model is more accurate in terms of age, grade, and stage when predicting the overall survival of the patients of ovarian cancer.
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Affiliation(s)
- Yu Zhang
- Department of Gynecology, Shaanxi Provincial Peoples Hospital, Xi'an 710068, China
| | - Jing Zhang
- Department of Gynecology, Shaanxi Provincial Peoples Hospital, Xi'an 710068, China
| | - Fei Wang
- Department of Gynecology, Shaanxi Provincial Peoples Hospital, Xi'an 710068, China
| | - Le Wang
- Department of Neurology, Shaanxi Provincial Peoples Hospital, Xi'an 710068, China
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Microdissecting the Hypoxia Landscape in Colon Cancer Reveals Three Distinct Subtypes and Their Potential Mechanism to Facilitate the Development of Cancer. JOURNAL OF ONCOLOGY 2023; 2023:9346621. [PMID: 36925652 PMCID: PMC10014161 DOI: 10.1155/2023/9346621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/09/2022] [Accepted: 11/25/2022] [Indexed: 03/09/2023]
Abstract
Background Hypoxia contributes to tumor progression and confers drug resistance. We attempted to microdissect the hypoxia landscape in colon cancer (CC) and explore its correlation with immunotherapy response. Materials and Methods The hypoxia landscape in CC patients was microdissected through unsupervised clustering. The "xCell" algorithms were applied to decipher the tumor immune infiltration characteristics. A hypoxia-related index signature was developed via the LASSO (least absolute shrinkage and selection operator) Cox regression in The Cancer Genome Atlas (TCGA)-colon adenocarcinoma (COAD) cohort and validated in an independent dataset from the Gene Expression Omnibus (GEO) database. The tumor immune dysfunction and exclusion (TIDE) algorithm was utilized to evaluate the correlation between the hypoxia-related index (HRI) signature and immunotherapy response. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) and western blotting were performed to verify the mRNA expression levels of five key genes. The Cell Counting Kit-8 (CCK-8) assay and flow cytometry were performed to examine the cell viability and cell apoptosis. Results Patients were classified into hypoxia-high, hypoxia-median, and hypoxia-low clusters in TCGA-COAD and verified in the GSE 17538 dataset. Compared with the hypoxia-low cluster, the hypoxia-high cluster consistently presented an unfavorable prognosis, higher immune scores, and stromal scores and elevated infiltration levels of several critical immune and stromal cells. Otherwise, we also found 600 hypoxia-related differentially expressed genes (HRDEGs) between the hypoxia-high cluster and the hypoxia-low cluster. Based on the 600 HRDEGs, we constructed the HRI signature which consists of 11 genes and shows a good prognostic value in both TCGA-COAD and GSE 17538 (AUC of 6-year survival prediction >0.75). Patients with low HRI scores were consistently predicted to be more responsive to immunotherapy. Of the 11 HRI signature genes, RGS16, SNAI1, CDR2L, FRMD5, and FSTL3 were differently expressed between tumors and adjacent tissues. Low expression of SNAI1, CDR2L, FRMD5, and FSTL3 could induce cell viability and promote tumor cell apoptosis. Conclusion In our study, we discovered three hypoxia clusters which correlate with the clinical outcome and the tumor immune microenvironment in CC. Based on the hypoxia cluster and HRDEGs, we constructed a reliable HRI signature that could accurately predict the prognosis and immunotherapeutic responsiveness in CC patients and discovered four key genes that could affect tumor cell viability and apoptosis.
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Fang X, Huang E, Xie X, Yang K, Wang S, Huang X, Song M. A novel senescence-related lncRNA signature that predicts prognosis and the tumor microenvironment in patients with lung adenocarcinoma. Front Genet 2022; 13:951311. [PMID: 36406130 PMCID: PMC9669975 DOI: 10.3389/fgene.2022.951311] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 10/24/2022] [Indexed: 11/06/2022] Open
Abstract
Background: Cellular senescence has recently been considered a new cancer hallmark. However, the factors regulating cellular senescence have not been well characterized. The aim of this study is to identify long non-coding RNAs (lncRNAs) associated with senescence and prognosis in patients with lung adenocarcinoma (LUAD). Methods: Using RNA sequence data from the Cancer Genome Atlas Lung Adenocarcinoma (TCGA-LUAD) and senescence genes from the CellAge database, a subset of senescence-related lncRNAs was first identified. Then, using univariate and multivariate Cox regression analyses, a senescence lncRNA signature (LUADSenLncSig) associated with LUAD prognosis was developed. Based on the median LUADSenLncSig risk score, LUAD patients were divided into high-risk and low-risk groups. Kaplan-Meier analysis was used to compare the overall survival (OS) in the high- and low-risk score subgroups. Differences in Gene Set Enrichment Analysis (GSEA), immune infiltration, tumor mutation burden (TMB), tumor immune dysfunction and exclusion (TIDE) module score, chemotherapy, and targeted therapy selection were also compared between the high-risk and low-risk groups. Results: A prognostic risk model was obtained consisting of the following nine senescence-related lncRNAs: LINC01116, AC005838.2, SH3PXD2A-AS1, VIMS-AS1, SH3BP5-AS1, AC092279.1, AC026355.1, AC027020.2, and LINC00996. The LUADSenLncSig high-risk group was associated with poor OS (hazard ratio = 1.17, 95% confidence interval = 1.102-1.242; p < 0.001). The accuracy of the model was further supported based on receiver operating characteristic (ROC), principal component analysis (PCA), and internal validation cohorts. In addition, a nomogram was developed consisting of LUADSenLncSig for LUAD prognosis, which is consistent with the actual probability of OS. Furthermore, immune infiltration analysis showed the low-risk group had a stronger anti-tumor immune response in the tumor microenvironment. Notably, the levels of immune checkpoint genes such as CTLA-4, PDCD-1, and CD274, and the TIDE scores were significantly higher in the low-risk subgroups than in high-risk subgroups (p < 0.001). This finding indicates the LUADSenLncSig can potentially predict immunotherapy efficacy. Conclusion: In this study, a lncRNA signature, LUADSenLncSig, that has dual functions of senescence phenotype identification and prognostic prediction as well as the potential to predict the LUAD response to immunotherapy was developed.
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Affiliation(s)
- Xueying Fang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Enmin Huang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaopeng Xie
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Kai Yang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shuqian Wang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiaoqing Huang
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Mei Song
- Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China
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Pallozzi M, Di Tommaso N, Maccauro V, Santopaolo F, Gasbarrini A, Ponziani FR, Pompili M. Non-Invasive Biomarkers for Immunotherapy in Patients with Hepatocellular Carcinoma: Current Knowledge and Future Perspectives. Cancers (Basel) 2022; 14:cancers14194631. [PMID: 36230554 PMCID: PMC9559710 DOI: 10.3390/cancers14194631] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 09/18/2022] [Accepted: 09/20/2022] [Indexed: 12/16/2022] Open
Abstract
Simple Summary The search for non-invasive biomarkers is a hot topic in modern oncology, since a tissue biopsy has significant limitations in terms of cost and invasiveness. The treatment perspectives have been significantly improved after the approval of immunotherapy for patients with hepatocellular carcinoma; therefore, the quick identification of responders is crucial to define the best therapeutic strategy. In this review, the current knowledge on the available non-invasive biomarkers of the response to immunotherapy is described. Abstract The treatment perspectives of advanced hepatocellular carcinoma (HCC) have deeply changed after the introduction of immunotherapy. The results in responders show improved survival compared with Sorafenib, but only one-third of patients achieve a significant benefit from treatment. As the tumor microenvironment exerts a central role in shaping the response to immunotherapy, the future goal of HCC treatment should be to identify a proxy of the hepatic tissue condition that is easy to use in clinical practice. Therefore, the search for biomarkers that are accurate in predicting prognosis will be the hot topic in the therapeutic management of HCC in the near future. Understanding the mechanisms of resistance to immunotherapy may expand the patient population that will benefit from it, and help researchers to find new combination regimens to improve patients’ outcomes. In this review, we describe the current knowledge on the prognostic non-invasive biomarkers related to treatment with immune checkpoint inhibitors, focusing on serological markers and gut microbiota.
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Affiliation(s)
- Maria Pallozzi
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Natalia Di Tommaso
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Valeria Maccauro
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Francesco Santopaolo
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - Antonio Gasbarrini
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Translational Medicine and Surgery Department, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Francesca Romana Ponziani
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Translational Medicine and Surgery Department, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Correspondence: (F.R.P.); (M.P.)
| | - Maurizio Pompili
- Internal Medicine and Gastroenterology-Hepatology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
- Translational Medicine and Surgery Department, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
- Correspondence: (F.R.P.); (M.P.)
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A Hypoxia-Related lncRNA Signature Correlates with Survival and Tumor Microenvironment in Colorectal Cancer. J Immunol Res 2022; 2022:9935705. [PMID: 35846431 PMCID: PMC9286950 DOI: 10.1155/2022/9935705] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 12/18/2022] Open
Abstract
The hypoxic tumor microenvironment and long noncoding RNAs (lncRNAs) are pivotal in cancer progression and correlate with the survival outcome of patients. However, the role of hypoxia-related lncRNAs (HRLs) in colorectal cancer (CRC) development remains largely unknown. Herein, we developed a hypoxia-related lncRNA signature to predict patients' survival and immune infiltration. The RNA-sequencing data of 500 CRC patients were obtained from The Cancer Genome Atlas (TCGA) dataset, and HRLs were selected using Pearson's analysis. Next, the Cox regression analysis was applied to construct a risk signature consisting of 9 HRLs. This signature could predict the overall survival (OS) of CRC patients with high accuracy in training, validation, and entire cohort. This signature was an independent risk factor and exerted predictive ability in different subgroups. Functional analysis revealed different molecular features between high- and low-risk groups. A series of drugs including cisplatin showed different sensitivities between the two groups. The expression pattern of immune checkpoints was also distinct between the two clusters in this model. Furthermore, the high-risk group had higher immune, stromal, and ESTIMATE score and a more repressive immune microenvironment than the low-risk group. Moreover, MYOSLID, one of the lncRNAs in this signature, could significantly regulate the proliferation, invasion, and metastasis of CRC.
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12
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Huang E, Ma T, Zhou J, Ma N, Yang W, Liu C, Hou Z, Chen S, de Castria TB, Zeng B, Zong Z, Zhou T. The development and validation of a novel senescence-related long-chain non-coding RNA (lncRNA) signature that predicts prognosis and the tumor microenvironment of patients with hepatocellular carcinoma. ANNALS OF TRANSLATIONAL MEDICINE 2022; 10:766. [PMID: 35965795 PMCID: PMC9372681 DOI: 10.21037/atm-22-3348] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 07/08/2022] [Indexed: 01/21/2023]
Abstract
Background The epigenetic regulators of cellular senescence, especially long non-coding RNAs (lncRNAs), remain unclear. The expression levels of lncRNA were previously known to be prognostic indicators for tumors. We hypothesized that lncRNAs regulating cellular senescence could also predict prognosis in patients with hepatocellular carcinoma (HCC) and developed a novel lncRNA predictive signature. Methods Using RNA sequencing data from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) database, a co-expression network of senescence-related messenger RNAs (mRNAs) and lncRNAs was constructed. Using univariate Cox regression analysis and a stepwise multiple Cox regression analysis, we constructed a prognostic HCC senescence-related lncRNA signature (HCCSenLncSig). Kaplan-Meier analysis was used to compare the overall survival (OS) of high- and low-risk groups stratified by the HCCSenLncSig. Furthermore, the HCCSenLncSig risk score and other clinical characteristics were included to develop an HCC prognostic nomogram. The accuracy of the model was evaluated by the time dependent receiver operating characteristic (ROC) and calibration curves, respectively. Results We obtained a prognostic risk model consisting of 8 senescence-related lncRNAs: AL117336.3, AC103760.1, FOXD2-AS1, AC009283.1, AC026401.3, AC021491.4, AC124067.4, and RHPN1-AS1. The HCCSenLncSig high-risk group was associated with poor OS [hazard ratio (HR) =1.125, 95% confidence interval (CI): 1.082-1.169; P<0.001]. The accuracy of the model was further supported by ROC curves (the area under the curve is 0.783, sensitivity of 0.600, and specificity of 0.896 at the cut-off value of 1.447). The HCCSenLncSig was found to be an independent prognostic factor from other clinical factors in both univariate and multivariate Cox regression analyses. The prognostic nomogram shows HCCSenLncSig has a good prognostic effect for survival risk stratification. Finally, we found that a higher number of immunosuppressed Treg cells infiltrate in high-risk patients (P<0.001 compared to low-risk patients), possibly explaining why these patients have a poor prognosis. On the other hand, the expression of immunotherapy markers, such as CD276, PDCD1, and CTLA4, was also up-regulated in the high-risk patients, indicating potential immunotherapy response in these patients. Conclusions The development of HCCSenLncSig allows us to better predict HCC patients' survival outcomes and disease risk, as well as contribute to the development of novel HCC anti-cancer therapeutic strategies.
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Affiliation(s)
- Enmin Huang
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Ma
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Junyi Zhou
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Ning Ma
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Weisheng Yang
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Chuangxiong Liu
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zehui Hou
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shuang Chen
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | | | - Bing Zeng
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Zhen Zong
- Department of Gastroenterological Surgery, The Second Affiliated Hospital, Nanchang University, Nanchang, China
| | - Taicheng Zhou
- Department of Gastroenterological Surgery and Hernia Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China;,Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Zhang Z, Wang F, Zhang J, Zhan W, Zhang G, Li C, Zhang T, Yuan Q, Chen J, Guo M, Xu H, Yu F, Wang H, Wang X, Kong W. An m6A-Related lncRNA Signature Predicts the Prognosis of Hepatocellular Carcinoma. Front Pharmacol 2022; 13:854851. [PMID: 35431958 PMCID: PMC9006777 DOI: 10.3389/fphar.2022.854851] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 03/07/2022] [Indexed: 12/24/2022] Open
Abstract
Objective: The purpose of this study was to establish an N6-methylandenosine (m6A)-related long non-coding RNA (lncRNA) signature to predict the prognosis of hepatocellular carcinoma (HCC). Methods: Pearson correlation analysis was used to identify m6A-related lncRNAs. We then performed univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression analysis to construct an m6A-related lncRNA signature. Based on the cutoff value of the risk score determined by the X-title software, we divided the HCC patients into high -and low-risk groups. A time-dependent ROC curve was used to evaluate the predictive value of the model. Finally, we constructed a nomogram based on the m6A-related lncRNA signature. Results: ZEB1-AS1, MIR210HG, BACE1-AS, and SNHG3 were identified to comprise an m6A-related lncRNA signature. These four lncRNAs were upregulated in HCC tissues compared to normal tissues. The prognosis of patients with HCC in the low-risk group was significantly longer than that in the high-risk group. The M6A-related lncRNA signature was significantly associated with clinicopathological features and was established as a risk factor for the prognosis of patients with HCC. The nomogram based on the m6A-related lncRNA signature had a good distinguishing ability and consistency. Conclusion: We identified an m6A-related lncRNA signature and constructed a nomogram model to evaluate the prognosis of patients with HCC.
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Affiliation(s)
- Zhenyu Zhang
- Anhui Key Laboratory of Bioactivity of Natural Products, School of Pharmacy, Anhui Medical University, Hefei, China
| | - Fangkai Wang
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jianlin Zhang
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wenjing Zhan
- Anhui Key Laboratory of Bioactivity of Natural Products, School of Pharmacy, Anhui Medical University, Hefei, China
| | - Gaosong Zhang
- Department Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Chong Li
- Department Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tongyuan Zhang
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qianqian Yuan
- Department of Biochemistry and Molecular Biology, Metabolic Disease Research Center, School of Basic Medicine, Anhui Medical University, Hefei, China
| | - Jia Chen
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Manyu Guo
- Department of Biochemistry and Molecular Biology, Metabolic Disease Research Center, School of Basic Medicine, Anhui Medical University, Hefei, China
| | - Honghai Xu
- Department of Pathology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Feng Yu
- Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Hengyi Wang
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xingyu Wang
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Weihao Kong
- Department of Emergency Surgery, Department of Emergency Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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