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Cui T, Huang Z, Luo K, Nie J, Xv Y, Zeng Z, Liao L, Yang X, Zhou H. Identification of Hub Genes and Prediction of Targeted Drugs for Rheumatoid Arthritis and Idiopathic Pulmonary Fibrosis. Biochem Genet 2024:10.1007/s10528-023-10650-z. [PMID: 38334875 DOI: 10.1007/s10528-023-10650-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 12/25/2023] [Indexed: 02/10/2024]
Abstract
There is a potential link between rheumatoid arthritis (RA) and idiopathic pulmonary fibrosis (IPF). The aim of this study is to investigate the molecular processes that underlie the development of these two conditions by bioinformatics methods. The gene expression samples for RA (GSE77298) and IPF (GSE24206) were retrieved from the Gene Expression Omnibus (GEO) database. After identifying the overlapping differentially expressed genes (DEGs) for RA and IPF, we conducted functional annotation, protein-protein interaction (PPI) network analysis, and hub gene identification. Finally, we used the hub genes to predict potential medications for the treatment of both disorders. We identified 74 common DEGs for further analysis. Functional analysis demonstrated that cellular components, biological processes, and molecular functions all played a role in the emergence and progression of RA and IPF. Using the cytoHubba plugin, we identified 7 important hub genes, namely COL3A1, SDC1, CCL5, CXCL13, MMP1, THY1, and BDNF. As diagnostic indicators for RA, SDC1, CCL5, CXCL13, MMP1, and THY1 showed favorable values. For IPF, COL3A1, SDC1, CCL5, CXCL13, THY1, and BDNF were favorable diagnostic markers. Furthermore, we predicted 61 Chinese and 69 Western medications using the hub genes. Our research findings demonstrate a shared pathophysiology between RA and IPF, which may provide new insights for more mechanistic research and more effective treatments. These common pathways and hub genes identified in our study offer potential opportunities for developing more targeted therapies that can address both disorders.
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Affiliation(s)
- Ting Cui
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Zhican Huang
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Kun Luo
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Jingwei Nie
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Yimei Xv
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Zhu Zeng
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Linghan Liao
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Xin Yang
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China
| | - Haiyan Zhou
- College of Acupuncture-Moxibustion and Tuina, Chengdu University of TCM, Chengdu, 610000, Sichuan, China.
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Yeo HJ, Ha M, Shin DH, Lee HR, Kim YH, Cho WH. Development of a Novel Biomarker for the Progression of Idiopathic Pulmonary Fibrosis. Int J Mol Sci 2024; 25:599. [PMID: 38203769 PMCID: PMC10779374 DOI: 10.3390/ijms25010599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 12/22/2023] [Accepted: 01/01/2024] [Indexed: 01/12/2024] Open
Abstract
The progression of idiopathic pulmonary fibrosis (IPF) is diverse and unpredictable. We identified and validated a new biomarker for IPF progression. To identify a candidate gene to predict progression, we assessed differentially expressed genes in patients with advanced IPF compared with early IPF and controls in three lung sample cohorts. Candidate gene expression was confirmed using immunohistochemistry and Western blotting of lung tissue samples from an independent IPF clinical cohort. Biomarker potential was assessed using an enzyme-linked immunosorbent assay of serum samples from the retrospective validation cohort. We verified that the final candidate gene reflected the progression of IPF in a prospective validation cohort. In the RNA-seq comparative analysis of lung tissues, CD276, COL7A1, CTSB, GLI2, PIK3R2, PRAF2, IGF2BP3, and NUPR1 were up-regulated, and ADAMTS8 was down-regulated in the samples of advanced IPF. Only CTSB showed significant differences in expression based on Western blotting (n = 12; p < 0.001) and immunohistochemistry between the three groups of the independent IPF cohort. In the retrospective validation cohort (n = 78), serum CTSB levels were higher in the progressive group (n = 25) than in the control (n = 29, mean 7.37 ng/mL vs. 2.70 ng/mL, p < 0.001) and nonprogressive groups (n = 24, mean 7.37 ng/mL vs. 2.56 ng/mL, p < 0.001). In the prospective validation cohort (n = 129), serum CTSB levels were higher in the progressive group than in the nonprogressive group (mean 8.30 ng/mL vs. 3.00 ng/mL, p < 0.001). After adjusting for baseline FVC, we found that CTSB was independently associated with IPF progression (adjusted OR = 2.61, p < 0.001). Serum CTSB levels significantly predicted IPF progression (AUC = 0.944, p < 0.001). Serum CTSB level significantly distinguished the progression of IPF from the non-progression of IPF or healthy control.
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Affiliation(s)
- Hye Ju Yeo
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea;
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (D.H.S.); (H.R.L.)
| | - Mihyang Ha
- Interdisciplinary Program of Genomic Data Science, Pusan National University, Busan 46241, Republic of Korea;
- Department of Nuclear Medicine, Pusan National University Medical Research Institute, Pusan National University Hospital, Busan 49241, Republic of Korea
| | - Dong Hoon Shin
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (D.H.S.); (H.R.L.)
- Department of Pathology, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Hye Rin Lee
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (D.H.S.); (H.R.L.)
| | - Yun Hak Kim
- Department of Anatomy, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
- Department of Biomedical Informatics, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea
| | - Woo Hyun Cho
- Department of Internal Medicine, School of Medicine, Pusan National University, Yangsan 50612, Republic of Korea;
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea
- Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan 50612, Republic of Korea; (D.H.S.); (H.R.L.)
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Wang R, Yang YM. Identification of potential biomarkers for idiopathic pulmonary fibrosis and validation of TDO2 as a potential therapeutic target. World J Cardiol 2023; 15:293-308. [PMID: 37397828 PMCID: PMC10308271 DOI: 10.4330/wjc.v15.i6.293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/01/2023] [Accepted: 06/13/2023] [Indexed: 06/26/2023] Open
Abstract
BACKGROUND Idiopathic pulmonary fibrosis (IPF) is a progressive interstitial lung disease with a high mortality rate. On this basis, exploring potential therapeutic targets to meet the unmet needs of IPF patients is important.
AIM To explore novel hub genes for IPF therapy.
METHODS Here, we used public datasets to identify differentially expressed genes between IPF patients and healthy donors. Potential targets were considered based on multiple bioinformatics analyses, especially the correlation between hub genes and carbon monoxide diffusing capacity of carbon monoxide, forced vital capacity, and patient survival rate. The mRNA levels of the hub genes were determined through quantitative real-time polymerase chain reaction.
RESULTS We found that TDO2 was upregulated in IPF patients and predicted poor prognosis. Surprisingly, single-cell RNA sequencing data analysis revealed significant enrichment of TDO2 in alveolar fibroblasts, indicating that TDO2 may participate in the regulation of proliferation and survival. Therefore, we verified the upregulated expression of TDO2 in an experimental mouse model of transforming growth factor-β (TGF-β)-induced pulmonary fibrosis. Furthermore, the results showed that a TDO2 inhibitor effectively suppressed TGF-β-induced fibroblast activation. These findings suggest that TDO2 may be a potential target for IPF treatment. Based on transcription factors-microRNA prediction and scRNA-seq analysis, elevated TDO2 promoted the IPF proliferation of fibroblasts and may be involved in the P53 pathway and aggravate ageing and persistent pulmonary fibrosis.
CONCLUSION We provided new target genes prediction and proposed blocking TGF-β production as a potential treatment for IPF.
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Affiliation(s)
- Ru Wang
- Henan University of Chinese Medicine, Collaborative Innovation Centre for Chinese Medicine and Respiratory Diseases, Zhengzhou 450046, Henan Province, China
| | - Yan-Mei Yang
- Zhengzhou University, Research Centre of Basic Medicine, Academy of Medical Sciences, Zhengzhou 450000, Henan Province, China
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Lin Y, Lai X, Huang S, Pu L, Zeng Q, Wang Z, Huang W. Identification of diagnostic hub genes related to neutrophils and infiltrating immune cell alterations in idiopathic pulmonary fibrosis. Front Immunol 2023; 14:1078055. [PMID: 37334348 PMCID: PMC10272521 DOI: 10.3389/fimmu.2023.1078055] [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: 10/24/2022] [Accepted: 05/18/2023] [Indexed: 06/20/2023] Open
Abstract
Background There is still a lack of specific indicators to diagnose idiopathic pulmonary fibrosis (IPF). And the role of immune responses in IPF is elusive. In this study, we aimed to identify hub genes for diagnosing IPF and to explore the immune microenvironment in IPF. Methods We identified differentially expressed genes (DEGs) between IPF and control lung samples using the GEO database. Combining LASSO regression and SVM-RFE machine learning algorithms, we identified hub genes. Their differential expression were further validated in bleomycin-induced pulmonary fibrosis model mice and a meta-GEO cohort consisting of five merged GEO datasets. Then, we used the hub genes to construct a diagnostic model. All GEO datasets met the inclusion criteria, and verification methods, including ROC curve analysis, calibration curve (CC) analysis, decision curve analysis (DCA) and clinical impact curve (CIC) analysis, were performed to validate the reliability of the model. Through the Cell Type Identification by Estimating Relative Subsets of RNA Transcripts algorithm (CIBERSORT), we analyzed the correlations between infiltrating immune cells and hub genes and the changes in diverse infiltrating immune cells in IPF. Results A total of 412 DEGs were identified between IPF and healthy control samples, of which 283 were upregulated and 129 were downregulated. Through machine learning, three hub genes (ASPN, SFRP2, SLCO4A1) were screened. We confirmed their differential expression using pulmonary fibrosis model mice evaluated by qPCR, western blotting and immunofluorescence staining and analysis of the meta-GEO cohort. There was a strong correlation between the expression of the three hub genes and neutrophils. Then, we constructed a diagnostic model for diagnosing IPF. The areas under the curve were 1.000 and 0.962 for the training and validation cohorts, respectively. The analysis of other external validation cohorts, as well as the CC analysis, DCA, and CIC analysis, also demonstrated strong agreement. There was also a significant correlation between IPF and infiltrating immune cells. The frequencies of most infiltrating immune cells involved in activating adaptive immune responses were increased in IPF, and a majority of innate immune cells showed reduced frequencies. Conclusion Our study demonstrated that three hub genes (ASPN, SFRP2, SLCO4A1) were associated with neutrophils, and the model constructed with these genes showed good diagnostic value in IPF. There was a significant correlation between IPF and infiltrating immune cells, indicating the potential role of immune regulation in the pathological process of IPF.
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Affiliation(s)
- Yingying Lin
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Xiaofan Lai
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shaojie Huang
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Lvya Pu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Qihao Zeng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China
| | - Zhongxing Wang
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wenqi Huang
- Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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Zhang Y, Wang C, Xia Q, Jiang W, Zhang H, Amiri-Ardekani E, Hua H, Cheng Y. Machine learning-based prediction of candidate gene biomarkers correlated with immune infiltration in patients with idiopathic pulmonary fibrosis. Front Med (Lausanne) 2023; 10:1001813. [PMID: 36860337 PMCID: PMC9968813 DOI: 10.3389/fmed.2023.1001813] [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: 08/03/2022] [Accepted: 01/26/2023] [Indexed: 02/15/2023] Open
Abstract
Objective This study aimed to identify candidate gene biomarkers associated with immune infiltration in idiopathic pulmonary fibrosis (IPF) based on machine learning algorithms. Methods Microarray datasets of IPF were extracted from the Gene Expression Omnibus (GEO) database to screen for differentially expressed genes (DEGs). The DEGs were subjected to enrichment analysis, and two machine learning algorithms were used to identify candidate genes associated with IPF. These genes were verified in a validation cohort from the GEO database. Receiver operating characteristic (ROC) curves were plotted to assess the predictive value of the IPF-associated genes. The cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was used to evaluate the proportion of immune cells in IPF and normal tissues. Additionally, the correlation between the expression of IPF-associated genes and the infiltration levels of immune cells was examined. Results A total of 302 upregulated and 192 downregulated genes were identified. Functional annotation, pathway enrichment, Disease Ontology and gene set enrichment analyses revealed that the DEGs were related to the extracellular matrix and immune responses. COL3A1, CDH3, CEBPD, and GPIHBP1 were identified as candidate biomarkers using machine learning algorithms, and their predictive value was verified in a validation cohort. Additionally, ROC analysis revealed that the four genes had high predictive accuracy. The infiltration levels of plasma cells, M0 macrophages and resting dendritic cells were higher and those of resting natural killer (NK) cells, M1 macrophages and eosinophils were lower in the lung tissues of patients with IPF than in those of healthy individuals. The expression of the abovementioned genes was correlated with the infiltration levels of plasma cells, M0 macrophages and eosinophils. Conclusion COL3A1, CDH3, CEBPD, and GPIHBP1 are candidate biomarkers of IPF. Plasma cells, M0 macrophages and eosinophils may be involved in the development of IPF and may serve as immunotherapeutic targets in IPF.
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Affiliation(s)
- Yufeng Zhang
- Department of Pulmonary and Critical Care Medicine, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin, Jiangsu, China
| | - Cong Wang
- Department of Pulmonary and Critical Care Medicine, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin, Jiangsu, China
| | - Qingqing Xia
- Department of Pulmonary and Critical Care Medicine, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin, Jiangsu, China
| | - Weilong Jiang
- Department of Pulmonary and Critical Care Medicine, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin, Jiangsu, China
| | - Huizhe Zhang
- Department of Respiratory Medicine, Yancheng Hospital of Traditional Chinese Medicine, Yancheng Hospital Affiliated to Nanjing University of Chinese Medicine, Yancheng, Jiangsu, China
| | - Ehsan Amiri-Ardekani
- Department of Phytopharmaceuticals (Traditional Pharmacy), Faculty of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran,*Correspondence: Ehsan Amiri-Ardekani,
| | - Haibing Hua
- Department of Gastroenterology, Jiangyin Hospital of Traditional Chinese Medicine, Jiangyin Hospital Affiliated to Nanjing University of Chinese Medicine, Jiangyin, Jiangsu, China,Haibing Hua,
| | - Yi Cheng
- Department of Respiratory Medicine, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China,Yi Cheng,
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Wu Y, Li N, Li S, Song S. Lung transplantation in a woman with paraquat poisoning that led to pulmonary fibrosis-Widely reported by the media: A case report. Medicine (Baltimore) 2022; 101:e32263. [PMID: 36626514 PMCID: PMC9750538 DOI: 10.1097/md.0000000000032263] [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] [Indexed: 01/11/2023] Open
Abstract
RATIONALE Paraquat is an extremely toxic herbicide with a high mortality rate on poisoning. It can damage vital organs, such as the lungs, liver, heart, and kidneys. In this study, we report a case of pulmonary fibrosis after paraquat poisoning in a patient who underwent a lung transplant procedure after preoperative administration of corticosteroids and immunosuppressive agents and continuous noninvasive ventilation support therapy. PATIENT CONCERNS An 18-year-old student was hospitalized owing to diarrhea, chest pain, and gradually evolving dyspnea. DIAGNOSES Owing to the inability to estimate the intake concentration and dose, paraquat was only detected in the urine on the 13th day, resulting in rapid progression of the disease and severe pulmonary fibrosis. INTERVENTIONS Extensive media coverage has attracted the attention of all sectors of society. The patient received financial assistance; thus, she could receive a double-lung transplant with extracorporeal membrane oxygenation (ECMO) support on the 34th day after the poisoning. OUTCOMES Postoperatively, the girl was actively rehabilitated, adhered to anti-rejection medication, followed up regularly, and had a good prognosis. LESSONS Lung transplantation is currently the most effective treatment for pulmonary fibrosis, and mass media campaigns can provide economic support, influence potential organ donation, and provide such patients more chances to survive.
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Affiliation(s)
- Yunxiao Wu
- Department of General Medical, Hebei General Hospital, Shijiazhuang, China
- Graduate School of Hebei Medical University, Shijiazhuang, China
| | - Ning Li
- Department of General Medical, Hebei General Hospital, Shijiazhuang, China
| | - Suyan Li
- Department of General Medical, Hebei General Hospital, Shijiazhuang, China
- * Correspondence: Suyan Li, Department of General Medical, Hebei General Hospital, Shijiazhuang 050057, China (e-mail: )
| | - Shumei Song
- Graduate School of Hebei Medical University, Shijiazhuang, China
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Dai Z, Peng X, Guo Y, Shen X, Ding W, Fu J, Liang Z, Song J. Metabolic pathway-based molecular subtyping of colon cancer reveals clinical immunotherapy potential and prognosis. J Cancer Res Clin Oncol 2022; 149:2393-2416. [PMID: 35731273 DOI: 10.1007/s00432-022-04070-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 05/11/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE Colon cancer presents challenges to clinical diagnosis and management due to its high heterogeneity. For more efficient and convenient diagnosis and treatment of colon cancer, we are committed to characterizing the molecular features of colon cancer by pioneering a classification system based on metabolic pathways. METHODS Based on the 113 metabolic pathways and genes collected in the previous stage, we scored and filtered the metabolic pathways of each sample in the training set by ssGSEA, and obtained 16 metabolic pathways related to colon cancer recurrence. In consistent clustering of training set samples with recurrence-related metabolic pathway scores, we identified two robust molecular subtypes of colon cancer (MC1 and MC2). Furthermore, we performed multi-angle analysis on the survival differences of subtypes, metabolic characteristics, clinical characteristics, functional enrichment, immune infiltration, differences with other subtypes, stemness indices, TIDE prediction, and drug sensitivity, and finally constructed colon cancer prognostic model. RESULTS The results showed that the MC1 subtype had a poor prognosis based on higher immune activity and immune checkpoint gene expression. The MC2 subtype is associated with high metabolic activity and low expression of immune checkpoint genes and a better prognosis. The MC2 subtype was more responsive to PD-L1 immunotherapy than the MC1 subclass. However, we did not observe significant differences in tumor mutational burden between the two. CONCLUSION Two molecular subtypes of colon cancer based on metabolic pathways have distinct immune signatures. Constructing prognostic models based on subtype differential genes provides valuable reference for personalized therapy targeting unique tumor metabolic signatures.
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Affiliation(s)
- Zhujiang Dai
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Xiang Peng
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Yuegui Guo
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Xia Shen
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Wenjun Ding
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Jihong Fu
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China.,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China
| | - Zhonglin Liang
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China. .,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China.
| | - Jinglue Song
- Department of Colorectal Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200092, China. .,Shanghai Colorectal Cancer Research Center, Shanghai, 200092, China.
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