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Schmit SL, Tsai YY, Bonner JD, Sanz-Pamplona R, Joshi AD, Ugai T, Lindsey SS, Melas M, McDonnell KJ, Idos GE, Walker CP, Qu C, Kast WM, Da Silva DM, Glickman JN, Chan AT, Giannakis M, Nowak JA, Rennert HS, Robins HS, Ogino S, Greenson JK, Moreno V, Rennert G, Gruber SB. Germline genetic regulation of the colorectal tumor immune microenvironment. BMC Genomics 2024; 25:409. [PMID: 38664626 PMCID: PMC11046907 DOI: 10.1186/s12864-024-10295-1] [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: 05/01/2023] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
OBJECTIVE To evaluate the contribution of germline genetics to regulating the briskness and diversity of T cell responses in CRC, we conducted a genome-wide association study to examine the associations between germline genetic variation and quantitative measures of T cell landscapes in 2,876 colorectal tumors from participants in the Molecular Epidemiology of Colorectal Cancer Study (MECC). METHODS Germline DNA samples were genotyped and imputed using genome-wide arrays. Tumor DNA samples were extracted from paraffin blocks, and T cell receptor clonality and abundance were quantified by immunoSEQ (Adaptive Biotechnologies, Seattle, WA). Tumor infiltrating lymphocytes per high powered field (TILs/hpf) were scored by a gastrointestinal pathologist. Regression models were used to evaluate the associations between each variant and the three T-cell features, adjusting for sex, age, genotyping platform, and global ancestry. Three independent datasets were used for replication. RESULTS We identified a SNP (rs4918567) near RBM20 associated with clonality at a genome-wide significant threshold of 5 × 10- 8, with a consistent direction of association in both discovery and replication datasets. Expression quantitative trait (eQTL) analyses and in silico functional annotation for these loci provided insights into potential functional roles, including a statistically significant eQTL between the T allele at rs4918567 and higher expression of ADRA2A (P = 0.012) in healthy colon mucosa. CONCLUSIONS Our study suggests that germline genetic variation is associated with the quantity and diversity of adaptive immune responses in CRC. Further studies are warranted to replicate these findings in additional samples and to investigate functional genomic mechanisms.
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Affiliation(s)
- Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA.
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA.
| | - Ya-Yu Tsai
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Joseph D Bonner
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Rebeca Sanz-Pamplona
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Amit D Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Tomotaka Ugai
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | - Sidney S Lindsey
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Marilena Melas
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Kevin J McDonnell
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Gregory E Idos
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Christopher P Walker
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Chenxu Qu
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - W Martin Kast
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Diane M Da Silva
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | | | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Marios Giannakis
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Jonathan A Nowak
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Dana-Farber Cancer Institute, Boston, MA, USA
| | - Hedy S Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | | | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Program in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Tokyo Medical and Dental University (Institute of Science Tokyo), Tokyo, Japan
| | - Joel K Greenson
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Victor Moreno
- Catalan Institute of Oncology (ICO), Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Gad Rennert
- B. Rappaport Faculty of Medicine, Technion and the Association for Promotion of Research in Precision Medicine (APRPM), Haifa, Israel
| | - Stephen B Gruber
- Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA.
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Li X, Zhang Y, Guo S, Wu Z, Wang H, Huang Y, Wang Y, Qiu M, Lang J, Xiao Y, Zhu Y, Jin G, Hu L, Kong X. Global analysis of T-cell groups reveals immunological features and common antigen targets of digestive tract tumors. J Cancer Res Clin Oncol 2024; 150:129. [PMID: 38488909 PMCID: PMC10943170 DOI: 10.1007/s00432-024-05645-1] [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: 12/26/2023] [Accepted: 02/05/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND T cells are key players in the tumor immune microenvironment (TIME), as they can recognize and eliminate cancer cells that express neoantigens derived from somatic mutations. However, the diversity and specificity of T-cell receptors (TCRs) that recognize neoantigens are largely unknown, due to the high variability of TCR sequences among individuals. METHODS To address this challenge, we applied GLIPH2, a novel algorithm that groups TCRs based on their predicted antigen specificity and HLA restriction, to cluster the TCR repertoire of 1,702 patients with digestive tract cancer. The patients were divided into five groups based on whether they carried tumor-infiltrating or clonal-expanded TCRs and calculated their TCR diversity. The prognosis, tumor subtype, gene mutation, gene expression, and immune microenvironment of these groups were compared. Viral specificity inference and immunotherapy relevance analysis performed for the TCR groups. RESULTS This approach reduced the complexity of TCR sequences to 249 clonally expanded and 150 tumor-infiltrating TCR groups, which revealed distinct patterns of TRBV usage, HLA association, and TCR diversity. In gastric adenocarcinoma (STAD), patients with tumor-infiltrating TCRs (Patients-TI) had significantly worse prognosis than other patients (Patients-nonTI). Patients-TI had richer CD8+ T cells in the immune microenvironment, and their gene expression features were positively correlated with immunotherapy response. We also found that tumor-infiltrating TCR groups were associated with four distinct tumor subtypes, 26 common gene mutations, and 39 gene expression signatures. We discovered that tumor-infiltrating TCRs had cross-reactivity with viral antigens, indicating a possible link between viral infections and tumor immunity. CONCLUSION By applying GLIPH2 to TCR sequences from digestive tract tumors, we uncovered novel insights into the tumor immune landscape and identified potential candidates for shared TCRs and neoantigens.
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Affiliation(s)
- Xiaoxue Li
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yuchao Zhang
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
| | - Shiwei Guo
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Shanghai, China
| | - Zhenchuan Wu
- Anda Biology Medicine Development (Shenzhen) Co., Ltd., Shenzhen, China
| | - Hailong Wang
- Anda Biology Medicine Development (Shenzhen) Co., Ltd., Shenzhen, China
| | - Yi Huang
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Beijing, China
| | - Yue Wang
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China
| | - Mengni Qiu
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences (CAS), Beijing, China
| | - Jingyu Lang
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
| | - Yichuan Xiao
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
| | - Yufei Zhu
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Shanghai, China.
| | - Landian Hu
- Anda Biology Medicine Development (Shenzhen) Co., Ltd., Shenzhen, China.
| | - Xiangyin Kong
- Shanghai Institute of Nutrition and Health, CAS Key Laboratory of Tissue Microenvironment and Tumor, Chinese Academy of Sciences, Shanghai, China.
- School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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3
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Zhang J, Wang Y, Huang Y, Tan X, Xu J, Yan Q, Tan J, Zhang Y, Zhang J, Ma Q, Zhu H, Ye J, Zhu Z, Lan W. Characterization of T cell receptor repertoire in penile cancer. Cancer Immunol Immunother 2024; 73:24. [PMID: 38280010 PMCID: PMC10822009 DOI: 10.1007/s00262-023-03615-z] [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: 09/26/2023] [Accepted: 12/04/2023] [Indexed: 01/29/2024]
Abstract
Tumor-infiltrating lymphocytes (TILs) play a key role in regulating the host immune response and shaping tumor microenvironment. It has been previously shown that T cell infiltration in penile tumors was associated with clinical outcomes. However, few studies have reported the T cell receptor (TCR) repertoire in patients with penile cancer. In the present study, we evaluated the TCR repertoires in tumor and adjacent normal tissues from 22 patients with penile squamous cell carcinoma (PSCC). Analysis of the T cell receptor beta-variable (TRBV) and joining (TRBJ) genes usage and analysis of complementarity determining region 3 (CDR3) length distribution did not show significant differences between tumor and matched normal tissues. Moreover, analysis of the median Jaccard index indicated a limited overlap of TCR repertoire between these groups. Compared with normal tissues, a significantly lower diversity and higher clonality of TCR repertoire was observed in tumor samples, which was associated with clinical characteristics. Further analysis of transcriptional profiles demonstrated that tumor samples with high clonality showed increased expression of genes associated with CD8 + T cells. In addition, we analyzed the TCR repertoire of CD4 + T cells and CD8 + T cells isolated from tumor tissues. We identified that expanded clonotypes were predominantly in the CD8 + T cell compartment, which presented with an exhausted phenotype. Overall, we comprehensively compared TCR repertoire between penile tumor and normal tissues and demonstrated the presence of distinct T cell immune microenvironments in patients with PSCC.
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Affiliation(s)
- Junying Zhang
- Chongqing Key Laboratory of High Active Traditional Chinese Drug Delivery System, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China
- College of Pharmacy, Chongqing Medical University, Chongqing, 400016, People's Republic of China
| | - Yapeng Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Yiqiang Huang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Xintao Tan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jing Xu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Qian Yan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jiao Tan
- School of Pharmacy, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China
| | - Yao Zhang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jun Zhang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Qiang Ma
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Hailin Zhu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China
| | - Jin Ye
- Urinary Nephropathy Center, The Thirteenth People's Hospital of Chongqing, Chongqing, 400053, People's Republic of China.
| | - Zhaojing Zhu
- Chongqing Key Laboratory of High Active Traditional Chinese Drug Delivery System, Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, 401331, People's Republic of China.
| | - Weihua Lan
- Department of Urology, Daping Hospital, Army Medical University, Chongqing, 400042, People's Republic of China.
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Cao Y, Wang J, Hou W, Ding Y, Zhu Y, Zheng J, Huang Q, Cao Z, Xie R, Wei Q, Qin H. Colorectal cancer-associated T cell receptor repertoire abnormalities are linked to gut microbiome shifts and somatic cell mutations. Gut Microbes 2023; 15:2263934. [PMID: 37795995 PMCID: PMC10557533 DOI: 10.1080/19490976.2023.2263934] [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: 06/01/2023] [Accepted: 09/24/2023] [Indexed: 10/06/2023] Open
Abstract
As with many diseases, tumor formation in colorectal cancer (CRC) is multifactorial and involves immune, environmental factors and various genetics that contribute to disease development. Accumulating evidence suggests that the gut microbiome is linked to the occurrence and development of CRC, and these microorganisms are important for immune maturation. However, a systematic perspective integrating microbial profiling, T cell receptor (TCR) and somatic mutations in humans with CRC is lacking. Here, we report distinct features of the expressed TCRβ repertoires in the peripheral blood of and CRC patients (n = 107) and healthy donors (n = 30). CRC patients have elevated numbers of large TCRβ clones and they have very low TCR diversity. The metagenomic sequencing data showed that the relative abundance of Fusobacterium nucleatum (F. nucleatum), Escherichia coli and Dasheen mosaic virus were elevated consistently in CRC patients (n = 97) compared to HC individuals (n = 30). The abundance of Faecalibacterium prausnitzii and Roseburia intestinalis was reduced in CRC (n = 97) compared to HC (n = 30). The correlation between somatic mutations of target genes (16 genes, n = 79) and TCR clonality and microbial biomarkers in CRC had been investigated. Importantly, we constructed a random forest classifier (contains 15 features) based on microbiome and TCR repertoires, which can be used as a clinical detection method to screen patients for CRC. We also analysis of F. nucleatum-specific TCR repertoire characteristics. Collectively, our large-cohort multi-omics data aimed to identify novel biomarkers to inform clinical decision-making in the detection and diagnosis of CRC, which is of possible etiological and diagnostic significance.
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Affiliation(s)
- Yuan Cao
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Jifeng Wang
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Weiliang Hou
- Research Institute of Intestinal Diseases, Tongji University School of Medicine, Shanghai, China
| | - Yanqiang Ding
- Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK-Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Yefei Zhu
- Research Institute of Intestinal Diseases, Tongji University School of Medicine, Shanghai, China
| | - Jiayi Zheng
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Qiongyi Huang
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Zhan Cao
- Shanghai Institution of Gut Microbiota Research and Engineering Development, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Ruting Xie
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Qing Wei
- Department of Pathology, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
| | - Huanlong Qin
- Department of Gastrointestinal Surgery, Shanghai Tenth People’s Hospital Affiliated to Tongji University, Shanghai, China
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Cha J, Kim H, Shin HJ, Lee M, Jun S, Kang WJ, Cho A. Does high [ 18F]FDG uptake always mean poor prognosis? Colon cancer with high-level microsatellite instability is associated with high [ 18F]FDG uptake on PET/CT. Eur Radiol 2023; 33:7450-7460. [PMID: 37338560 DOI: 10.1007/s00330-023-09832-5] [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: 01/09/2023] [Revised: 03/22/2023] [Accepted: 03/30/2023] [Indexed: 06/21/2023]
Abstract
OBJECTIVES High-level microsatellite instability (MSI-high) is generally associated with higher F-18 fluorodeoxyglucose ([18F]FDG) uptake than stable microsatellite (MSI-stable) tumors. However, MSI-high tumors have better prognosis, which is in contrast with general understanding that high [18F]FDG uptake correlates with poor prognosis. This study evaluated metastasis incidence with MSI status and [18F]FDG uptake. METHODS We retrospectively reviewed 108 right-side colon cancer patients who underwent preoperative [18F]FDG PET/CT and postoperative MSI evaluations using a standard polymerase chain reaction at five Bethesda guidelines panel loci. The maximum standard uptake value (SUVmax), SUVmax tumor-to-liver ratio (TLR), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary tumor were measured using SUV 2.5 cut-off threshold. Student's t-test or Mann-Whitney U test was performed for continuous variables, and χ2 test or Fisher's exact test was performed for categorical variables (p value of < 0.05 for statistical significance). Medical records were reviewed for metastasis incidence. RESULTS Our study population had 66 MSI-stable and 42 MSI-high tumors. [18F]FDG uptake was higher in MSI-high tumors than MSI-stable tumors (TLR, median (Q1, Q3): 7.95 (6.06, 10.54) vs. 6.08 (4.09, 8.82), p = 0.021). Multivariable subgroup analysis demonstrated that higher [18F]FDG uptake was associated with higher risks of distant metastasis in MSI-stable tumors (SUVmax: p = 0.025, MTV: p = 0.008, TLG: p = 0.019) but not in MSI-high tumors. CONCLUSION MSI-high colon cancer is associated with high [18F]FDG uptake, but unlike MSI-stable tumors, the degree of [18F]FDG uptake does not correlate with the rate of distant metastasis. CLINICAL RELEVANCE STATEMENT MSI status should be considered during PET/CT assessment of colon cancer patients, as the degree of [18F]FDG uptake might not reflect metastatic potential in MSI-high tumors. KEY POINTS • High-level microsatellite instability (MSI-high) tumor is a prognostic factor for distant metastasis. • MSI-high colon cancers had a tendency of demonstrating higher [18F]FDG uptake compared to MSI-stable tumors. • Although higher [18F]FDG uptake is known to represent higher risks of distant metastasis, the degree of [18F]FDG uptake in MSI-high tumors did not correlate with the rate at which distant metastasis occurred.
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Affiliation(s)
- Jongtae Cha
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Honsoul Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Samsung Life Building (B, 7th floor) 115 Irwon-ro, Gangnam-gu, Seoul, 06355, Republic of Korea.
- Department of Health Science and Technology, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
| | - Hye Jung Shin
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Myeongjee Lee
- Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Seowoong Jun
- Department of Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Won Jun Kang
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
| | - Arthur Cho
- Department of Nuclear Medicine, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea.
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Li Z, Yin Z, Luan Z, Zhang C, Wang Y, Zhang K, Chen F, Yang Z, Tian Y. Comprehensive analyses for the coagulation and macrophage-related genes to reveal their joint roles in the prognosis and immunotherapy of lung adenocarcinoma patients. Front Immunol 2023; 14:1273422. [PMID: 38022584 PMCID: PMC10644034 DOI: 10.3389/fimmu.2023.1273422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Purpose This study aims to explore novel biomarkers related to the coagulation process and tumor-associated macrophage (TAM) infiltration in lung adenocarcinoma (LUAD). Methods The macrophage M2-related genes were obtained by Weighted Gene Co-expression Network Analysis (WGCNA) in bulk RNA-seq data, while the TAM marker genes were identified by analyzing the scRNA-seq data, and the coagulation-associated genes were obtained from MSigDB and KEGG databases. Survival analysis was performed for the intersectional genes. A risk score model was subsequently constructed based on the survival-related genes for prognosis prediction and validated in external datasets. Results In total, 33 coagulation and macrophage-related (COMAR) genes were obtained, 19 of which were selected for the risk score model construction. Finally, 10 survival-associated genes (APOE, ARRB2, C1QB, F13A1, FCGR2A, FYN, ITGB2, MMP9, OLR1, and VSIG4) were involved in the COMAR risk score model. According to the risk score, patients were equally divided into low- and high-risk groups, and the prognosis of patients in the high-risk group was significantly worse than that in the low-risk group. The ROC curve indicated that the risk score model had high sensitivity and specificity, which was validated in multiple external datasets. Moreover, the model also had high efficacy in predicting the clinical outcomes of LUAD patients who received anti-PD-1/PD-L1 immunotherapy. Conclusion The COMAR risk score model constructed in this study has excellent predictive value for the prognosis and immunotherapeutic clinical outcomes of patients with LUAD, which provides potential biomarkers for the treatment and prognostic prediction.
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Affiliation(s)
- Zhuoqi Li
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Radiotherapy Department, Shandong Second Provincial General Hospital, Shandong University, Jinan, China
| | - Zongxiu Yin
- Department of Pulmonary and Critical Care Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Zupeng Luan
- Department of Radiation Oncology, Jinan Third People’s Hospital, Jinan, China
| | - Chi Zhang
- Department of Cardiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yuanyuan Wang
- Department of Oncology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Kai Zhang
- Generalsurgery Department, Wen-shang County People’s Hospital, Wenshang, China
| | - Feng Chen
- Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhensong Yang
- Department of Gastrointestinal Surgery, Yantai Yuhuangding Hospital, Qingdao University, Yantai, China
| | - Yuan Tian
- Department of Otolaryngology-Head and Neck Surgery, Shandong Provincial ENT Hospital, Shandong University, Jinan, China
- Radiotherapy Department, Shandong Second Provincial General Hospital, Shandong University, Jinan, China
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7
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Li X, Liang H, Fan J. Prospects of Cytomegalovirus-Specific T-Cell Receptors in Clinical Diagnosis and Therapy. Viruses 2023; 15:1334. [PMID: 37376633 DOI: 10.3390/v15061334] [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: 04/29/2023] [Revised: 06/03/2023] [Accepted: 06/04/2023] [Indexed: 06/29/2023] Open
Abstract
Human cytomegalovirus (HCMV) is responsible for widespread infections worldwide. In immunocompetent individuals it is typically latent, while infection or reactivation in immunocompromised individuals can result in severe clinical symptoms or even death. Although there has been significant progress in the treatment and diagnosis of HCMV infection in recent years, numerous shortcomings and developmental limitations persist. There is an urgent need to develop innovative, safe, and effective treatments, as well as to explore early and timely diagnostic strategies for HCMV infection. Cell-mediated immune responses are the primary factor controlling HCMV infection and replication, but the protective role of humoral immune responses remains controversial. T-cells, key effector cells of the cellular immune system, are critical for clearing and preventing HCMV infection. The T-cell receptor (TCR) lies at the heart of T-cell immune responses, and its diversity enables the immune system to differentiate between self and non-self. Given the significant influence of cellular immunity on human health and the indispensable role of the TCR in T-cell immune responses, we posit that the impact of TCR on the development of novel diagnostic and prognostic methods, as well as on patient monitoring and management of clinical HCMV infection, will be far-reaching and profound. High-throughput and single-cell sequencing technologies have facilitated unprecedented quantitative detection of TCR diversity. With these current sequencing technologies, researchers have already obtained a vast number of TCR sequences. It is plausible that in the near future studies on TCR repertoires will be instrumental in assessing vaccine efficacy, immunotherapeutic strategies, and the early diagnosis of HCMV infection.
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Affiliation(s)
- Xuejie Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Hanying Liang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
| | - Jun Fan
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
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Up-Regulation of SH3TC2 Induced by YTHDF1 Predicts Poor Outcome and Facilitates Cell-Cycle Progress in Colorectal Cancer. JOURNAL OF ONCOLOGY 2022; 2022:1600611. [PMID: 36568637 PMCID: PMC9780001 DOI: 10.1155/2022/1600611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 11/08/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022]
Abstract
N6-methyladenosine (m6A) modification plays a crucial role in determining the fate and function of RNA transcripts in tumor cells. Nevertheless, how m6A regulates the expression of key molecules and coordinates its involvement in the development of colorectal cancer (CRC) remains largely unclear. Here, we report that the m6A reading protein YTHDF1-mediated up-regulation of SH3TC2 promotes CRC growth both in vitro and in vivo. In a pan-cancer analysis across more than thirty types of cancer, we found that SH3TC2 was dysregulated in nine cancers, including BLCA, CHOL, COAD, LAML, PAAD, READ, SKCM, BRCA, and TGCT, and was closely associated with patient prognosis in four cancers, including COAD, MESO, PAAD, and READ. In particular, SH3TC2 was overexpressed in CRC as confirmed by six independent study cohorts. Clinically, high expression of SH3TC2 predicted worse disease-free survival (DFS) in CRC patients. SH3TC2 showed fascinating diagnostic value and was correlated with immunosuppression in CRC. Functionally, RNA-sequencing combined with experiments revealed that knockdown of SH3TC3 significantly inhibited cell-cycle progress of CRC, impairing cell growth. Mechanistically, YTHDF1 protein directly binds with SH3TC2 mRNA and promotes its elevation in an m6A-dependent manner. Thus, our findings provide a mechanism to target the YTHDF1/SH3TC2 axis for CRC therapy.
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Campana LG, Mansoor W, Hill J, Macutkiewicz C, Curran F, Donnelly D, Hornung B, Charleston P, Bristow R, Lord GM, Valpione S. T-Cell Infiltration and Clonality May Identify Distinct Survival Groups in Colorectal Cancer: Development and Validation of a Prognostic Model Based on The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC). Cancers (Basel) 2022; 14:cancers14235883. [PMID: 36497365 PMCID: PMC9740634 DOI: 10.3390/cancers14235883] [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: 11/08/2022] [Revised: 11/25/2022] [Accepted: 11/26/2022] [Indexed: 12/05/2022] Open
Abstract
Predicting the survival outcomes of patients with colorectal cancer (CRC) remains challenging. We investigated the prognostic significance of the transcriptome and tumour-infiltrating lymphocyte T-cell receptor (TIL/Tc-TCR) repertoire and analysed TIL/Tc-TCR sequences of The Cancer Genome Atlas (TCGA) and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) CRC cohorts. Using a multivariate Cox regression, we tested whether TIL/Tc-TCR repertoire, patient and tumour characteristics (stage, sidedness, total non-synonymous mutations, microsatellite instability (MSI) and transcriptional signatures) correlated with patient overall survival (OS) and designed a prognostic nomogram. A multivariate analysis (C-index = 0.75) showed that only patient age, disease stage, TIL/Tc degree of infiltration and clonality were independent prognostic factors for OS. The cut-offs for patients’ allocation to TIL/Tc abundance subgroups were determined using a strategy of maximally selected rank statistics with the OptimalCutpoints R package. These were “high”, “low” and “very high” (90 th percentile) TIL/Tc infiltration-stratified OS (median not reached, 67 and 44.3 months; p < 0.001); the results were validated in the CPTAC cohort. TIL/Tc clonality was prognostic (median OS in “high” vs. “low” clonality not reached and 67.3 months; p = 0.041) and independent of TIL/Tc infiltration. Whilst tumour sidedness was not prognostic, the “very highly” infiltrated tumours were prevalent among right-sided CRCs (p = 0.039) and showed distinct immunological features, with lower Th1 signature (p = 0.004), higher PD-L1 expression (p < 0.001) and likely enrichment in highly suppressory IL1R1+ Tregs (FoxP3 and IL1R1 overexpression, p < 0.001). TIL/Tc abundance and clonality are independent prognosticators in CRC and, combined with clinical variables, refine risk stratification. We identified a subset of CRCs with “very high” TIL/Tc infiltration, poor prognosis and distinct genetic and immunologic features, which may benefit from alternative therapeutic approaches. These results need validation in prospective patient cohorts.
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Affiliation(s)
- Luca G. Campana
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Wasat Mansoor
- Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester M20 4BX, UK
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NT, UK
| | - James Hill
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Christian Macutkiewicz
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Finlay Curran
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - David Donnelly
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Ben Hornung
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Peter Charleston
- Department of Surgery, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK
| | - Robert Bristow
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9NT, UK
- CRUK Manchester Major Centre and Manchester Cancer Research Centre, Manchester M20 4BX, UK
| | - Graham M. Lord
- Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PL, UK
- Correspondence: (G.M.L.); (S.V.); Tel.: +44-161-306-0533 (G.M.L.); +44-161-446-3000 (S.V.)
| | - Sara Valpione
- Department of Medical Oncology, The Christie NHS Foundation Trust, Manchester M20 4BX, UK
- CRUK Manchester Institute, University of Manchester, Manchester SK10 4TG, UK
- Correspondence: (G.M.L.); (S.V.); Tel.: +44-161-306-0533 (G.M.L.); +44-161-446-3000 (S.V.)
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10
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Pan X, Lin H, Han C, Feng Z, Wang Y, Lin J, Qiu B, Yan L, Li B, Xu Z, Wang Z, Zhao K, Liu Z, Liang C, Chen X, Li Z, Cui Y, Lu C, Liu Z. Computerized tumor-infiltrating lymphocytes density score predicts survival of patients with resectable lung adenocarcinoma. iScience 2022; 25:105605. [PMID: 36505920 PMCID: PMC9730047 DOI: 10.1016/j.isci.2022.105605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 10/23/2022] [Accepted: 11/14/2022] [Indexed: 11/17/2022] Open
Abstract
A high abundance of tumor-infiltrating lymphocytes (TILs) has a positive impact on the prognosis of patients with lung adenocarcinoma (LUAD). We aimed to develop and validate an artificial intelligence-driven pathological scoring system for assessing TILs on H&E-stained whole-slide images of LUAD. Deep learning-based methods were applied to calculate the densities of lymphocytes in cancer epithelium (DLCE) and cancer stroma (DLCS), and a risk score (WELL score) was built through linear weighting of DLCE and DLCS. Association between WELL score and patient outcome was explored in 793 patients with stage I-III LUAD in four cohorts. WELL score was an independent prognostic factor for overall survival and disease-free survival in the discovery cohort and validation cohorts. The prognostic prediction model-integrated WELL score demonstrated better discrimination performance than the clinicopathologic model in the four cohorts. This artificial intelligence-based workflow and scoring system could promote risk stratification for patients with resectable LUAD.
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Affiliation(s)
- Xipeng Pan
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Cardiovascular Institute, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
| | - Huan Lin
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Chu Han
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Zhengyun Feng
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
| | - Yumeng Wang
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
| | - Jiatai Lin
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Bingjiang Qiu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Cardiovascular Institute, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Lixu Yan
- Department of Pathology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Bingbing Li
- Department of Pathology, Guangdong Provincial People’s Hospital Ganzhou Hospital (Ganzhou Municipal Hospital), 49 Dagong Road, Ganzhou 341000, China
| | - Zeyan Xu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Zhizhen Wang
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
| | - Ke Zhao
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Cardiovascular Institute, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Zhenbing Liu
- School of Computer Science and Information Security, Guilin University of Electronic Technology, Guilin 541004, China
| | - Changhong Liang
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Xin Chen
- Department of Radiology, Guangzhou First People’s Hospital, School of Medicine, South China University of Technology, Guangzhou 510180, China,Corresponding author
| | - Zhenhui Li
- Guangdong Cardiovascular Institute, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming 650118, China,Corresponding author
| | - Yanfen Cui
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Cardiovascular Institute, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, China,Corresponding author
| | - Cheng Lu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,Corresponding author
| | - Zaiyi Liu
- Department of Radiology, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, 106 Zhongshan Er Road, Guangzhou 510080, China,Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China,Corresponding author
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11
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Abstract
Colon cancer is a common malignant tumor. However, its pathogenesis still needs further study. In this study, we explored the role of nucleosome assembly protein 1-like 1 (NAP1L1) in colon cancer and its underlying mechanism. Based on analysis of The Cancer Genome Atlas data, we found that NAP1L1 is augmented in colorectal cancer, and the elevated NAP1L1 expression is associated with a poor prognosis in patients with colon cancer. Immunohistochemistry staining results showed that upregulated NAP1L1 protein level is an unfavorable factor that stimulates colon cancer progression. To further investigate the role of NAP1L1 in colon cancer, we established a colon cancer cell line with NAP1L1 knockdown, and found that repressing NAP1L1 expression in colon cancer cells markedly reduces cell proliferation in vivo and in vitro by MTT assay, colony formation, EdU incorporation, and subcutaneous tumorigenesis in nude mice. Furthermore, we found that NAP1L1 binds to HDGF, recruits DDX5, and induces β-catenin/CCND1 signaling, which promotes colon cancer cell proliferation. Finally, transfection with HDGF or DDX5restores cell growth in NAP1L1-knockdown colon cancer cells by upregulating DDX5/β-catenin/CCND1 signaling. Our study demonstrates that NAP1L1 functions as a potential oncogene that promotes colon cancer tumorigenesis by binding to HDGF, which stimulates DDX5/β-catenin/CCND1 signaling.
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12
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Moreno V, Salazar R, Gruber SB. The prognostic value of TILs in stage III colon cancer must consider sidedness. Ann Oncol 2022; 33:1094-1096. [PMID: 36122797 DOI: 10.1016/j.annonc.2022.09.155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 09/06/2022] [Indexed: 11/01/2022] Open
Affiliation(s)
- Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine and health Sciences, University of Barcelona, L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Consortium for Biomedical Research for Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | - Ramón Salazar
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine and health Sciences, University of Barcelona, L'Hospitalet de Llobregat, 08908 Barcelona, Spain; Consortium for Biomedical Research for Oncology (CIBERONC), 28029 Madrid, Spain
| | - Stephen B Gruber
- City of Hope National Medical Center, Duarte, California, United States of America
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13
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You D, Zhang S, Yan S, Ding Y, Li C, Cheng X, Wu L, Wang W, Zhang T, Li Z, He Y. SAMHD1 as a prognostic and predictive biomarker in stage II colorectal cancer: A multicenter cohort study. Front Oncol 2022; 12:939982. [PMID: 35978833 PMCID: PMC9376296 DOI: 10.3389/fonc.2022.939982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 07/11/2022] [Indexed: 11/19/2022] Open
Abstract
Background The identification of high-risk population patients is key to the personalized treatment options for the stage II colorectal cancers. The use of proteomics in the prognosis of patients with stage II colorectal cancer remains unclear. Methods Using quantitative proteomics, we analyzed proteins that are differentially expressed in the tumor and adjacent normal tissues of 11 paired colorectal cancer patients with and without recurrence selected by a nested case-control design. Of the 21 identified proteins, we selected one candidate protein. The association of the corresponding gene of the selected protein with overall survival (OS) and adjuvant chemotherapy was analyzed using two independent cohorts of patients with stages II colorectal cancer. Results Sterile α motif and histidine-aspartate domain-containing protein 1 (SAMHD1) was selected as the candidate biomarker. A group of 124 patients (12.5%) were stratified into SAMHD1-high subgroup. The 5-year OS rate of SAMHD1-high patients was lower than that of SAMHD1-low patients with stage II colorectal cancer (discovery cohort: hazard ratio [HR] = 2.89, 95% confidence interval [CI], 1.17-7.18, P = 0.016; validation cohort: HR = 2.25, 95% CI, 1.17-4.34, P = 0.013). The Cox multivariate analysis yielded similar results. In a pooled database, the 5-year OS rate was significantly different between patients with and without adjuvant chemotherapy among stage II SAMHD1-low tumors than in patients with stage II SAMHD1-high tumors (88% vs. 77%, P = 0.032). Conclusions SAMHD1-high expression could help in identifying patients with stage II colorectal cancer with poor prognosis and less benefit from adjuvant chemotherapy.
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Affiliation(s)
- Dingyun You
- Department of Dental Research, The Affiliated Stomatological Hospital of Kunming Medical University, Kunming, China
- Yunnan Key Laboratory of Stomatology, Kunming Medical University, Kunming, China
- Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Biomedical Engineering Research Center, Kunming Medical University, Kunming, China
| | - Shuai Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Shan Yan
- Yunnan Key Laboratory of Stem Cell and Regenerative Medicine, Biomedical Engineering Research Center, Kunming Medical University, Kunming, China
| | - Yingying Ding
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Chunxia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xianshuo Cheng
- Department of Colorectal Surgery, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Lin Wu
- Department of Pathology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
| | - Weizhou Wang
- Department of Orthopedics, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- *Correspondence: Yongwen He, ; Zhenhui Li, ; Tao Zhang,
| | - Zhenhui Li
- Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China
- *Correspondence: Yongwen He, ; Zhenhui Li, ; Tao Zhang,
| | - Yongwen He
- Department of Dental Research, The Affiliated Stomatological Hospital of Kunming Medical University, Kunming, China
- *Correspondence: Yongwen He, ; Zhenhui Li, ; Tao Zhang,
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14
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Lahoz S, Archilla I, Asensio E, Hernández‐Illán E, Ferrer Q, López‐Prades S, Nadeu F, Del Rey J, Sanz‐Pamplona R, Lozano JJ, Castells A, Cuatrecasas M, Camps J. Copy-number intratumor heterogeneity increases the risk of relapse in chemotherapy-naive stage II colon cancer. J Pathol 2022; 257:68-81. [PMID: 35066875 PMCID: PMC9790656 DOI: 10.1002/path.5870] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/17/2021] [Accepted: 01/13/2022] [Indexed: 12/30/2022]
Abstract
Optimal selection of high-risk patients with stage II colon cancer is crucial to ensure clinical benefit of adjuvant chemotherapy. Here, we investigated the prognostic value of genomic intratumor heterogeneity and aneuploidy for disease recurrence. We combined targeted sequencing, SNP arrays, fluorescence in situ hybridization, and immunohistochemistry on a retrospective cohort of 84 untreated stage II colon cancer patients. We assessed the clonality of copy-number alterations (CNAs) and mutations, CD8+ lymphocyte infiltration, and their association with time to recurrence. Prognostic factors were included in machine learning analysis to evaluate their ability to predict individual relapse risk. Tumors from recurrent patients displayed a greater proportion of CNAs compared with non-recurrent (mean 31.3% versus 23%, respectively; p = 0.014). Furthermore, patients with elevated tumor CNA load exhibited a higher risk of recurrence compared with those with low levels [p = 0.038; hazard ratio (HR) 2.46], which was confirmed in an independent cohort (p = 0.004; HR 3.82). Candidate chromosome-specific aberrations frequently observed in recurrent cases included gain of the chromosome arm 13q (p = 0.02; HR 2.67) and loss of heterozygosity at 17q22-q24.3 (p = 0.05; HR 2.69). CNA load positively correlated with intratumor heterogeneity (R = 0.52; p < 0.0001). Consistently, incremental subclonal CNAs were associated with an elevated risk of relapse (p = 0.028; HR 2.20), which we did not observe for subclonal single-nucleotide variants and small insertions and deletions. The clinico-genomic model rated an area under the curve of 0.83, achieving a 10% incremental gain compared with clinicopathological markers (p = 0.047). In conclusion, tumor aneuploidy and copy-number intratumor heterogeneity were predictive of poor outcome and improved discriminative performance in early-stage colon cancer. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Sara Lahoz
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Ivan Archilla
- Pathology Department, Biomedical Diagnostic Center, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Elena Asensio
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Eva Hernández‐Illán
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Queralt Ferrer
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Sandra López‐Prades
- Pathology Department, Biomedical Diagnostic Center, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Ferran Nadeu
- Molecular Pathology of Lymphoid NeoplasmsInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Cáncer (CIBERONC)BarcelonaSpain
| | - Javier Del Rey
- Department of Cell Biology, Physiology and Immunology, Faculty of MedicineUniversity Autonomous of BarcelonaBellaterraSpain
| | - Rebeca Sanz‐Pamplona
- Unit of Biomarkers and SusceptibilityOncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), Oncobell Program, Bellvitge Biomedical Research Institute (IDIBELL) and CIBERESPl'Hospitalet de LlobregatSpain
| | - Juan José Lozano
- Bioinformatics PlatformCentro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD)MadridSpain
| | - Antoni Castells
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Miriam Cuatrecasas
- Pathology Department, Biomedical Diagnostic Center, Hospital Clínic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain
| | - Jordi Camps
- Translational Colorectal Cancer Genomics, Gastrointestinal and Pancreatic Oncology TeamInstitut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Hospital Clínic de Barcelona, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), University of BarcelonaBarcelonaSpain,Department of Cell Biology, Physiology and Immunology, Faculty of MedicineUniversity Autonomous of BarcelonaBellaterraSpain
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Feng H, Zhu D, Zheng J, Lyu Z, Hu W, Jiang M, Pan Z, Hou T, Li Y. Identification of Candidate Antigens and Immune Subtypes in Colon Cancer for mRNA Vaccine Development. ADVANCED THERAPEUTICS 2022. [DOI: 10.1002/adtp.202200036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Affiliation(s)
- Huolun Feng
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
- The Second School of Clinical Medicine Southern Medical University Guangzhou Guangdong 510515 China
| | - Dandan Zhu
- School of Medicine South China University of Technology Guangzhou Guangdong 510006 China
- Guangdong clinical laboratory center Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Jiabin Zheng
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Zejian Lyu
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Weixian Hu
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Meiyu Jiang
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Zihao Pan
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Tieying Hou
- The Second School of Clinical Medicine Southern Medical University Guangzhou Guangdong 510515 China
- School of Medicine South China University of Technology Guangzhou Guangdong 510006 China
- Guangdong clinical laboratory center Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
- Medical Department Guangdong Provincial People's Hospital Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
| | - Yong Li
- Department of gastrointestinal surgery Guangdong Provincial People's Hospital; Guangdong Academy of Medical Sciences Guangzhou Guangdong 510080 China
- The Second School of Clinical Medicine Southern Medical University Guangzhou Guangdong 510515 China
- School of Medicine South China University of Technology Guangzhou Guangdong 510006 China
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16
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Kim JK, Chen CT, Keshinro A, Khan A, Firat C, Vanderbilt C, Segal N, Stadler Z, Shia J, Balachandran VP, Weiser MR. Intratumoral T-cell repertoires in DNA mismatch repair-proficient and -deficient colon tumors containing high or low numbers of tumor-infiltrating lymphocytes. Oncoimmunology 2022; 11:2054757. [PMID: 35481287 PMCID: PMC9037499 DOI: 10.1080/2162402x.2022.2054757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Colon tumors with deficient DNA mismatch repair (dMMR) are generally infiltrated by T cells more densely than tumors with proficient mismatch repair (pMMR). However, high numbers of tumor-infiltrating lymphocytes (TILs) are found in select pMMR tumors, and low numbers of TILs are seen in select dMMR tumors. In this study, we compared T-cell repertoires in 20 pMMR and 27 dMMR colon tumors with high and low TIL counts. We found that T cells in dMMR tumors are more clonal and their repertoire is less rich compared with T cells in pMMR tumors. In the dMMR group, T cells in TIL-high tumors were more clonal and their repertoire was less rich compared with T cells in TIL-low tumors, but in the pMMR group, T-cell diversity in TIL-high tumors was comparable to T-cell diversity in TIL-low tumors. These findings suggest that T cells clonally expand in dMMR tumors, possibly in response to MMR deficiency-induced tumor neoantigens.
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Affiliation(s)
- Jin K. Kim
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Chin-Tung Chen
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Ajaratu Keshinro
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Asama Khan
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Canan Firat
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Chad Vanderbilt
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Neil Segal
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Zsofia Stadler
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Jinru Shia
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Vinod P. Balachandran
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Martin R. Weiser
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York, USA
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17
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Aran A, Garrigós L, Curigliano G, Cortés J, Martí M. Evaluation of the TCR Repertoire as a Predictive and Prognostic Biomarker in Cancer: Diversity or Clonality? Cancers (Basel) 2022; 14:cancers14071771. [PMID: 35406543 PMCID: PMC8996954 DOI: 10.3390/cancers14071771] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/22/2022] [Accepted: 03/29/2022] [Indexed: 02/06/2023] Open
Abstract
Simple Summary The TCR is the T cell antigen receptor, and it is responsible of the T cell activation, through the HLA-antigen complex recognition. Studying the TCR repertoire in patients with cancer can help to better understand the anti-tumoural responses and it has been suggested to have predictive and or/prognostic values, both for the disease and in response to treatments. The aim of this review is to summarize TCR repertoire studies performed in patients with cancer found in the literature, thoroughly analyse the different factors that can be involved in shaping the TCR repertoire, and draw the current conclusions in this field, especially focusing on whether the TCR diversity—or its opposite, the clonality—can be used as predictors or prognostic biomarkers of the disease. Abstract T cells play a vital role in the anti-tumoural response, and the presence of tumour-infiltrating lymphocytes has shown to be directly correlated with a good prognosis in several cancer types. Nevertheless, some patients presenting tumour-infiltrating lymphocytes do not have favourable outcomes. The TCR determines the specificities of T cells, so the analysis of the TCR repertoire has been recently considered to be a potential biomarker for patients’ progression and response to therapies with immune checkpoint inhibitors. The TCR repertoire is one of the multiple elements comprising the immune system and is conditioned by several factors, including tissue type, tumour mutational burden, and patients’ immunogenetics. Its study is crucial to understanding the anti-tumoural response, how to beneficially modulate the immune response with current or new treatments, and how to better predict the prognosis. Here, we present a critical review including essential studies on TCR repertoire conducted in patients with cancer with the aim to draw the current conclusions and try to elucidate whether it is better to encounter higher clonality with few TCRs at higher frequencies, or higher diversity with many different TCRs at lower frequencies.
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Affiliation(s)
- Andrea Aran
- Immunology Unit, Department of Cell Biology, Physiology and Immunology, Institut de Biotecnologia I Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Spain;
| | - Laia Garrigós
- International Breast Cancer Center (IBCC), 08017 Barcelona, Spain; (L.G.); (J.C.)
| | - Giuseppe Curigliano
- Division of Early Drug Development, European Institute of Oncology, IRCCS, 20141 Milano, Italy;
- Department of Oncology and Hemato-Oncology, University of Milano, 20122 Milano, Italy
| | - Javier Cortés
- International Breast Cancer Center (IBCC), 08017 Barcelona, Spain; (L.G.); (J.C.)
- Medica Scientia Innovation Research (MedSIR), 08018 Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ 07450, USA
- Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain
| | - Mercè Martí
- Immunology Unit, Department of Cell Biology, Physiology and Immunology, Institut de Biotecnologia I Biomedicina (IBB), Universitat Autònoma de Barcelona (UAB), 08193 Bellaterra, Spain;
- Correspondence: ; Tel.: +34-935812409
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18
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Dang Q, Liu Z, Hu S, Chen Z, Meng L, Hu J, Wang G, Yuan W, Han X, Li L, Sun Z. Derivation and Clinical Validation of a Redox-Driven Prognostic Signature for Colorectal Cancer. Front Oncol 2021; 11:743703. [PMID: 34778061 PMCID: PMC8578893 DOI: 10.3389/fonc.2021.743703] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
Colorectal cancer (CRC), a seriously threat that endangers public health, has a striking tendency to relapse and metastasize. Redox-related signaling pathways have recently been extensively studied in cancers. However, the study and potential role of redox in CRC remain unelucidated. We developed and validated a risk model for prognosis and recurrence prediction in CRC patients via identifying gene signatures driven by redox-related signaling pathways. The redox-driven prognostic signature (RDPS) was demonstrated to be an independent risk factor for patient survival (including OS and RFS) in four public cohorts and one clinical in-house cohort. Additionally, there was an intimate association between the risk score and tumor immune infiltration, with higher risk score accompanied with less immune cell infiltration. In this study, we used redox-related factors as an entry point, which may provide a broader perspective for prognosis prediction in CRC and have the potential to provide more promising evidence for immunotherapy.
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Affiliation(s)
- Qin Dang
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Interventional Institute of Zhengzhou University, Zhengzhou, China
| | - Shengyun Hu
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhuang Chen
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Lingfang Meng
- Department of Ultrasound, Zhengzhou Sixth People's Hospital, Henan Infectious Disease Hospital, Zhengzhou, China
| | - Junhong Hu
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Guixian Wang
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Weitang Yuan
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Interventional Institute of Zhengzhou University, Zhengzhou, China
| | - Lifeng Li
- Internet Medical and System Applications of National Engineering Laboratory, Zhengzhou, China
| | - Zhenqiang Sun
- Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China
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19
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Gong TJ, Tang F, Zheng CX, Wang J, Wang YT, Zhang YH, Luo Y, Zhou Y, Min L, Tu CQ. Case Report: Pulmonary Metastases From Epithelioid Sarcoma in Extremity Favourably Responding to Immunotherapy With Camrelizumab. Front Oncol 2021; 11:728437. [PMID: 34692503 PMCID: PMC8526861 DOI: 10.3389/fonc.2021.728437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Accepted: 09/20/2021] [Indexed: 02/05/2023] Open
Abstract
Epithelioid sarcoma (ES) is a rare soft tissue sarcoma (STS), with limited therapies available for metastatic disease. Here, we describe a case of a 30-year-old male with ES of the left knee and underwent surgery and radiation therapy for the primary disease. After 2 years, he had local recurrence and underwent extensive resection surgery; however, adjuvant chemotherapies were delayed due to recurrent wound infection. Nine months after the second surgery, progressive disease was confirmed after detection of metastases to the lungs and inguinal lymph nodes. Amputation was performed for the local recurrence, followed by inguinal lymph nodes dissection. Pazopanib was transiently administered but discontinued as a result of wound dehiscence. The tumour specimens were detected with unexpected high level of PD-L1 expression and tumoural infiltrating lymphocytes. Subsequently, he received camrelizumab 2.0 mg/kg every 21 days for 18 cycles with rapid remission of the pulmonary metastases. This promising response to camrelizumab indicates that immunotherapies may be an alternative choice for patients with metastatic ES in lung based on analysing the tumour immune microenvironment.
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Affiliation(s)
- Tao-Jun Gong
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Fan Tang
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China.,State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Chuan-Xi Zheng
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Jie Wang
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Yi-Tian Wang
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Ya-Han Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Luo
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Zhou
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Li Min
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
| | - Chong-Qi Tu
- Department of Orthopeadics, West China Hospital, Sichuan University, Chengdu, China
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20
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Xue C, Gu X, Li L. Immune classifier-based signatures provide good prognostic stratification and predict the clinical benefits of immune-based therapies for hepatocellular carcinoma. Cancer Cell Int 2021; 21:471. [PMID: 34488768 PMCID: PMC8422634 DOI: 10.1186/s12935-021-02183-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 08/27/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is an aggressive cancer with a high rate of death globally. The use of bioinformatics may help to identify immune cell-related genes both as targets for potential immunotherapies and for their value associated with predicting therapy responses. METHODS In this study, mRNA expression profiles of HCC samples from The Cancer Genome Atlas (TCGA) database were subjected to gene enrichment, cell type abundance, immune cell infiltration, and pathway enrichment analyses to determine immune cell gene features, cell type abundance, and functional annotation characteristics. We also evaluated their prognostic values using Cox regression and Kaplan-Meier analyses and assessed potential responses to chemotherapy. Four subgroups (Groups 1-4) were identified. Group 4 was associated with advanced clinical characteristics, high immune cell enrichment scores, and the poorest outcomes. RESULTS Differentially expressed genes (DEGs) in the HCC samples were enriched in the following pathways: antigen binding, cell surface receptor signal transduction of the immune response, and cell surface activated receptor signal transduction of the immune response. Highly expressed genes in Group 4 were enriched in elements of the WNT signalling pathway. We identified five immune-related genes (SEMA3A, TNFRSF11B, GUCA2A, SAA1, and CALCR) that were significantly related to HCC prognosis. A prognostic model based on these five genes exhibited good predictive value, with 1-year and 5-year area under the curve (AUC) values of > 0.66. Group 4 was also potentially more sensitive to EHT 1864, FH535, and lapatinib chemotherapies than the other groups. CONCLUSIONS We identified and validated four HCC subgroups based on immune system-related genes and identified five genes that may be used for an immune-based prognostic model for HCC treatment.
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Affiliation(s)
- Chen Xue
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Xinyu Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, 310003, Zhejiang, China.
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21
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Fan T, Lu Z, Liu Y, Wang L, Tian H, Zheng Y, Zheng B, Xue L, Tan F, Xue Q, Gao S, Li C, He J. A Novel Immune-Related Seventeen-Gene Signature for Predicting Early Stage Lung Squamous Cell Carcinoma Prognosis. Front Immunol 2021; 12:665407. [PMID: 34177903 PMCID: PMC8226174 DOI: 10.3389/fimmu.2021.665407] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
With the increasingly early stage lung squamous cell carcinoma (LUSC) being discovered, there is an urgent need for a comprehensive analysis of the prognostic characteristics of early stage LUSC. Here, we developed an immune-related gene signature for outcome prediction of early stage LUSC based on three independent cohorts. Differentially expressed genes (DEGs) were identified using CIBERSORT and ESTMATE algorithm. Then, a 17-immune-related gene (RPRM, APOH, SSX1, MSGN1, HPR, ISM2, FGA, LBP, HAS1, CSF2, RETN, CCL2, CCL21, MMP19, PTGIS, F13A1, C1QTNF1) signature was identified using univariate Cox regression, LASSO regression and stepwise multivariable Cox analysis based on the verified DEGs from 401 cases in The Cancer Genome Atlas (TCGA) database. Subsequently, a cohort of GSE74777 containing 107 cases downloaded from Gene Expression Omnibus (GEO) database and an independent data set consisting of 36 frozen tissues collected from National Cancer Center were used to validate the predictive value of the signature. Seventeen immune-related genes were identified from TCGA cohort, which were further used to establish a classification system to construct cases into high- and low-risk groups in terms of overall survival. This classifier was still an independent prognostic factor in multivariate analysis. In addition, another two independent cohorts and different clinical subgroups validated the significant predictive value of the signature. Further mechanism research found early stage LUSC patients with high risk had special immune cell infiltration characteristics and gene mutation profiles. In conclusion, we characterized the tumor microenvironment and established a highly predictive model for evaluating the prognosis of early stage LUSC, which may provide a lead for effective immunotherapeutic options tailored for each subtype.
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Affiliation(s)
- Tao Fan
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiliang Lu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyu Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - He Tian
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yujia Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zheng
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chunxiang Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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22
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Bai J, Chen H, Bai X. Relationship between microsatellite status and immune microenvironment of colorectal cancer and its application to diagnosis and treatment. J Clin Lab Anal 2021; 35:e23810. [PMID: 33938589 PMCID: PMC8183910 DOI: 10.1002/jcla.23810] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/09/2021] [Accepted: 04/11/2021] [Indexed: 12/13/2022] Open
Abstract
Due to advances in understanding the immune microenvironment of colorectal cancer (CRC), microsatellite classification (dMMR/MSI-H and pMMR/MSS) has become a key biomarker for the diagnosis and treatment of CRC patients and therefore has important clinical value. Microsatellite status is associated with a variety of clinicopathological features and affects drug resistance and the prognosis of patients. CRC patients with different microsatellite statuses have different compositions and distributions of immune cells and cytokines within their tumor microenvironments (TMEs). Therefore, there is great interest in reversing or reshaping CRC TMEs to transform immune tolerant "cold" tumors into immune sensitive "hot" tumors. This requires a thorough understanding of differences in the immune microenvironments of MSI-H and MSS type tumors. This review focuses on the relationship between CRC microsatellite status and the immune microenvironment. It focuses on how this relationship has value for clinical application in diagnosis and treatment, as well as exploring the limitations of its current application.
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Affiliation(s)
- Junge Bai
- The Fourth Hospital of Harbin Medical UniversityHarbinChina
| | - Hongsheng Chen
- Department of General SurgeryThe Fourth Hospital of Harbin Medical UniversityHarbinChina
| | - Xuefeng Bai
- Department of Colorectal SurgeryHarbin Medical University Cancer HospitalHarbinChina
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23
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Mori T, Kumagai K, Nasu K, Yoshizawa T, Kuwano K, Hamada Y, Kanazawa H, Suzuki R. Clonal Expansion of Tumor-Infiltrating T Cells and Analysis of the Tumor Microenvironment within Esophageal Squamous Cell Carcinoma Relapsed after Definitive Chemoradiation Therapy. Int J Mol Sci 2021; 22:ijms22031098. [PMID: 33499345 PMCID: PMC7865796 DOI: 10.3390/ijms22031098] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2020] [Revised: 01/07/2021] [Accepted: 01/19/2021] [Indexed: 12/18/2022] Open
Abstract
(1) Background: Comparable prognoses after definitive chemoradiation therapy (CRT) to surgery alone for esophageal squamous cell carcinoma (ESCC) have been previously reported; however, no robust prognostic markers have been established. The clonality of tumor-infiltrating lymphocytes (TILs) and tumor microenvironments (TMEs) in ESCC relapsed after CRT were examined to explore prognostic markers. (2) Methods: Clonality of TIL and TME were examined in ESCC with and without preceding CRT, as well as oral squamous cell carcinoma (OSCC) and healthy volunteers as controls. The clonality of TIL was assessed by T-cell receptor (TCR) α and β repertoire analyses and evaluated by diversity indices. The TME was assessed by quantitative polymerase chain reaction evaluating PD-L1 and CD8B. (3) Results: The clonal expansion of TIL was significantly induced within ESCCs and OSCCs, when compared to healthy volunteers, and was mostly induced within ESCCs after definitive CRT. Diversity indices of TIL were not associated with the prognosis, but the ratio of PD-L1 mRNA to CD8B mRNA in TME was significantly associated with a poor prognosis after salvage surgery (p = 0.007). (4) Conclusions: The clonal expansion of TIL is induced after definitive CRT for ESCC, and the ratio of PD-L1 mRNA to CD8B mRNA within tumor tissues is a prognostic marker candidate for salvage esophagectomy after CRT.
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Affiliation(s)
- Takahiro Mori
- Departments of Clinical Oncology and Gastroenterological Surgery, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0392, Japan
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
- Department of Oral and Maxillofacial Surgery, School of Dental Medicine, Tsurumi University, 2-1-3 Tsurumi, Tsurumi-ku, Yokohama 230-8501, Japan;
- Correspondence:
| | - Kenichi Kumagai
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
- Department of Surgery, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0392, Japan;
- Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aobaku, Sendai 980-8574, Japan
| | - Keisuke Nasu
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
- Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aobaku, Sendai 980-8574, Japan
| | - Takamasa Yoshizawa
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
- Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aobaku, Sendai 980-8574, Japan
| | - Koji Kuwano
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
- Department of Oral-Maxillofacial Surgery and Orthodontics, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Yoshiki Hamada
- Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aobaku, Sendai 980-8574, Japan
| | - Hideki Kanazawa
- Department of Oral-Maxillofacial Surgery and Orthodontics, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan
| | - Ryuji Suzuki
- Department of Rheumatology and Clinical Immunology, Clinical Research Center for Rheumatology and Allergy, National Hospital Organization Sagamihara National Hospital, 18-1 Sakuradai, Minami-ku, Sagamihara 252-0385, Japan; (K.K.); (K.N.); (T.Y.); (K.K.); (R.S.)
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