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Qi D, Lu Y, Qu H, Dong Y, Jin Q, Sun M, Li Y, Quan C. Independent prognostic value of CLDN6 in bladder cancer based on M2 macrophages related signature. iScience 2024; 27:109138. [PMID: 38380255 PMCID: PMC10877962 DOI: 10.1016/j.isci.2024.109138] [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: 08/09/2023] [Revised: 12/19/2023] [Accepted: 02/01/2024] [Indexed: 02/22/2024] Open
Abstract
M2 macrophages are associated with the prognosis of bladder cancer. CLDN6 has been linked to immune infiltration and is crucial for predicting the prognosis in multi-tumor. The effect of CLDN6 on M2 macrophages in bladder cancer remains elusive. Here, we compared a total of 40 machine learning algorithms, then selected optimal algorithm to develop M2 macrophages-related signature (MMRS) based on the identified M2 macrophages related module. MMRS predicted the prognosis better than other models and associated to immunotherapy response. CLDN6, as an important variable in MMRS, was an independent factor for poor prognosis. We found that CLDN6 was highly expressed and affected immune infiltration, immunotherapy response, and M2 macrophages polarization. Meanwhile, CLDN6 promoted the growth of bladder cancer and enhanced the carcinogenic effect by inducing polarization of M2 macrophages. In total, CLDN6 is an independent risk factor in MMRS to predict the prognosis of bladder cancer.
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Affiliation(s)
- Da Qi
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Yan Lu
- The Department of Anatomy, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Huinan Qu
- Department of Histology and Embryology, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Yuan Dong
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Qiu Jin
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Minghao Sun
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Yanru Li
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
| | - Chengshi Quan
- The Key Laboratory of Pathobiology, Ministry of Education, College of Basic Medical Sciences, Jilin University, 126 Xinmin Avenue, Changchun 130021, China
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Chandran EBA, Iannantuono GM, Atiq SO, Akbulut D, Sinaii N, Simon NI, Banday AR, Boudjadi S, Gurram S, Nassar AH, Rosenberg JE, Butera G, Teo MY, Sonpavde G, Coleman JA, Apolo AB. Mismatch repair deficiency and microsatellite instability in urothelial carcinoma: a systematic review and meta-analysis. BMJ ONCOLOGY 2024; 3:e000335. [PMID: 39086924 PMCID: PMC11203074 DOI: 10.1136/bmjonc-2024-000335] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/03/2024] [Indexed: 08/02/2024]
Abstract
Background Mismatch repair deficiency (dMMR) and microsatellite instability-high (MSI-H) occur in a subset of cancers and have been shown to confer sensitivity to immune checkpoint inhibition (ICI); however, there is a lack of prospective data in urothelial carcinoma (UC). Methods and analysis We performed a systematic review to estimate the prevalence of dMMR and MSI-H in UC, including survival and clinical outcomes. We searched for studies published up to 26 October 2022 in major scientific databases. We screened 1745 studies and included 110. Meta-analyses were performed if the extracted data were suitable. Results The pooled weighted prevalences of dMMR in bladder cancer (BC) and upper tract UC (UTUC) were 2.30% (95% CI 1.12% to 4.65%) and 8.95% (95% CI 6.81% to 11.67%), respectively. The pooled weighted prevalences of MSI-H in BC and UTUC were 2.11% (95% CI 0.82% to 5.31%) and 8.36% (95% CI 5.50% to 12.53%), respectively. Comparing localised versus metastatic disease, the pooled weighted prevalences for MSI-H in BC were 5.26% (95% CI 0.86% to 26.12%) and 0.86% (95% CI 0.59% to 1.25%), respectively; and in UTUC, they were 18.04% (95% CI 13.36% to 23.91%) and 4.96% (95% CI 2.72% to 8.86%), respectively. Cumulatively, the response rate in dMMR/MSI-H metastatic UC treated with an ICI was 22/34 (64.7%) compared with 1/9 (11.1%) with chemotherapy. Conclusion Both dMMR and MSI-H occur more frequently in UTUC than in BC. In UC, MSI-H occurs more frequently in localised disease than in metastatic disease. These biomarkers may predict sensitivity to ICI in metastatic UC and resistance to cisplatin-based chemotherapy.
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Affiliation(s)
- Elias B A Chandran
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Saad O Atiq
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
| | - Dilara Akbulut
- Laboratory of Pathology, National Institutes of Health, Bethesda, Maryland, USA
| | - Ninet Sinaii
- Biostatistics and Clinical Epidemiology Service, National Institutes of Health, Bethesda, Maryland, USA
| | - Nicholas I Simon
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
| | - Abdul Rouf Banday
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
| | - Salah Boudjadi
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
| | - Sandeep Gurram
- Urologic Oncology Branch, National Institutes of Health, Bethesda, Maryland, USA
| | - Amin H Nassar
- Department of Hematology/Oncology, Yale New Haven Hospital, New Haven, Connecticut, USA
| | | | - Gisela Butera
- Division of Library Services, National Institutes of Health, Bethesda, Maryland, USA
| | - Min Yuen Teo
- Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | - Guru Sonpavde
- Medical Oncology, AdventHealth Central Florida, Orlando, Florida, USA
| | | | - Andrea B Apolo
- Genitourinary Malignancies Branch, National Institutes of Health, Bethesda, Maryland, USA
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Ma YT, Hua F, Zhong XM, Xue YJ, Li J, Nie YC, Zhang XD, Ma JW, Lin CH, Zhang HZ, He W, Sha D, Zhao MQ, Yao ZG. Clinicopathological characteristics, molecular landscape, and biomarker landscape for predicting the efficacy of PD-1/PD-L1 inhibitors in Chinese population with mismatch repair deficient urothelial carcinoma: a real-world study. Front Immunol 2023; 14:1269097. [PMID: 38022513 PMCID: PMC10657814 DOI: 10.3389/fimmu.2023.1269097] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Urothelial carcinoma (UC) with deficient mismatch repair (dMMR) is a specific subtype of UC characterized by the loss of mismatch repair (MMR) proteins and its association with Lynch syndrome (LS). However, comprehensive real-world data on the incidence, clinicopathological characteristics, molecular landscape, and biomarker landscape for predicting the efficacy of PD-1/PD-L1 inhibitors in the Chinese patients with dMMR UC remains unknown. We analyzed 374 patients with bladder urothelial carcinoma (BUC) and 232 patients with upper tract urothelial carcinoma (UTUC) using tissue microarrays, immunohistochemistry, and targeted next-generation sequencing. Results showed the incidence of dMMR UC was higher in the upper urinary tract than in the bladder. Genomic analysis identified frequent mutations in KMT2D and KMT2C genes and LS was confirmed in 53.8% of dMMR UC cases. dMMR UC cases displayed microsatellite instability-high (MSI-H) (PCR method) in 91.7% and tumor mutational burden-high (TMB-H) in 40% of cases. The density of intratumoral CD8+ T cells correlated with better overall survival in dMMR UC patients. Positive PD-L1 expression was found in 20% cases, but some patients positively responded to immunotherapy despite negative PD-L1 expression. Our findings provide valuable insights into the characteristics of dMMR UC in the Chinese population and highlights the relevance of genetic testing and immunotherapy biomarkers for treatment decisions.
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Affiliation(s)
- Yu-Ting Ma
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Fang Hua
- Department of Microbiology and Immunology, Tulane University, New Orleans, LA, United States
| | - Xiu-Ming Zhong
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Ying-Jie Xue
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Jia Li
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yi-Cong Nie
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Xue-Dong Zhang
- Department of Pathology, Liaocheng People’s Hospital, Liaocheng, Shandong, China
| | - Ji-Wei Ma
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Cun-Hu Lin
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Hao-Zhuang Zhang
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Wei He
- Department of Urology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Dan Sha
- Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Miao-Qing Zhao
- Department of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zhi-Gang Yao
- Department of Pathology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Department of Pathology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Cao Y, Wang D, Wu J, Yao Z, Shen S, Niu C, Liu Y, Zhang P, Wang Q, Wang J, Li H, Wei X, Wang X, Dong Q. MSI-XGNN: an explainable GNN computational framework integrating transcription- and methylation-level biomarkers for microsatellite instability detection. Brief Bioinform 2023; 24:bbad362. [PMID: 37833839 DOI: 10.1093/bib/bbad362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/05/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
Microsatellite instability (MSI) is a hypermutator phenotype caused by DNA mismatch repair deficiency. MSI has been reported in various human cancers, particularly colorectal, gastric and endometrial cancers. MSI is a promising biomarker for cancer prognosis and immune checkpoint blockade immunotherapy. Several computational methods have been developed for MSI detection using DNA- or RNA-based approaches based on next-generation sequencing. Epigenetic mechanisms, such as DNA methylation, regulate gene expression and play critical roles in the development and progression of cancer. We here developed MSI-XGNN, a new computational framework for predicting MSI status using bulk RNA-sequencing and DNA methylation data. MSI-XGNN is an explainable deep learning model that combines a graph neural network (GNN) model to extract features from the gene-methylation probe network with a CatBoost model to classify MSI status. MSI-XGNN, which requires tumor-only samples, exhibited comparable performance with two well-known methods that require tumor-normal paired sequencing data, MSIsensor and MANTIS and better performance than several other tools. MSI-XGNN also showed good generalizability on independent validation datasets. MSI-XGNN identified six MSI markers consisting of four methylation probes (EPM2AIP1|MLH1:cg14598950, EPM2AIP1|MLH1:cg27331401, LNP1:cg05428436 and TSC22D2:cg15048832) and two genes (RPL22L1 and MSH4) constituting the optimal feature subset. All six markers were significantly associated with beneficial tumor microenvironment characteristics for immunotherapy, such as tumor mutation burden, neoantigens and immune checkpoint molecules such as programmed cell death-1 and cytotoxic T-lymphocyte antigen-4. Overall, our study provides a powerful and explainable deep learning model for predicting MSI status and identifying MSI markers that can potentially be used for clinical MSI evaluation.
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Affiliation(s)
- Yang Cao
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Dan Wang
- Department of Bioinformatics, Yicon (Beijing) Biomedical Technology Inc
| | - Jin Wu
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Zhanxin Yao
- Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Si Shen
- School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300050, China
| | - Chao Niu
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Ying Liu
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Pengcheng Zhang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | | | - Jinhao Wang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Hua Li
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xi Wei
- Department of Diagnostic and Therapeutic Ultrasonography, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, China
| | - Xinxing Wang
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
| | - Qingyang Dong
- Department of Environmental Medicine, Tianjin Institute of Environmental and Operational Medicine, Tianjin 300050, China
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Wong K, Abascal F, Ludwig L, Aupperle-Lellbach H, Grassinger J, Wright CW, Allison SJ, Pinder E, Phillips RM, Romero LP, Gal A, Roady PJ, Pires I, Guscetti F, Munday JS, Peleteiro MC, Pinto CA, Carvalho T, Cota J, Du Plessis EC, Constantino-Casas F, Plog S, Moe L, de Brot S, Bemelmans I, Amorim RL, Georgy SR, Prada J, Del Pozo J, Heimann M, de Carvalho Nunes L, Simola O, Pazzi P, Steyl J, Ubukata R, Vajdovich P, Priestnall SL, Suárez-Bonnet A, Roperto F, Millanta F, Palmieri C, Ortiz AL, Barros CSL, Gava A, Söderström ME, O'Donnell M, Klopfleisch R, Manrique-Rincón A, Martincorena I, Ferreira I, Arends MJ, Wood GA, Adams DJ, van der Weyden L. Cross-species oncogenomics offers insight into human muscle-invasive bladder cancer. Genome Biol 2023; 24:191. [PMID: 37635261 PMCID: PMC10464500 DOI: 10.1186/s13059-023-03026-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 07/28/2023] [Indexed: 08/29/2023] Open
Abstract
BACKGROUND In humans, muscle-invasive bladder cancer (MIBC) is highly aggressive and associated with a poor prognosis. With a high mutation load and large number of altered genes, strategies to delineate key driver events are necessary. Dogs and cats develop urothelial carcinoma (UC) with histological and clinical similarities to human MIBC. Cattle that graze on bracken fern also develop UC, associated with exposure to the carcinogen ptaquiloside. These species may represent relevant animal models of spontaneous and carcinogen-induced UC that can provide insight into human MIBC. RESULTS Whole-exome sequencing of domestic canine (n = 87) and feline (n = 23) UC, and comparative analysis with human MIBC reveals a lower mutation rate in animal cases and the absence of APOBEC mutational signatures. A convergence of driver genes (ARID1A, KDM6A, TP53, FAT1, and NRAS) is discovered, along with common focally amplified and deleted genes involved in regulation of the cell cycle and chromatin remodelling. We identify mismatch repair deficiency in a subset of canine and feline UCs with biallelic inactivation of MSH2. Bovine UC (n = 8) is distinctly different; we identify novel mutational signatures which are recapitulated in vitro in human urinary bladder UC cells treated with bracken fern extracts or purified ptaquiloside. CONCLUSION Canine and feline urinary bladder UC represent relevant models of MIBC in humans, and cross-species analysis can identify evolutionarily conserved driver genes. We characterize mutational signatures in bovine UC associated with bracken fern and ptaquiloside exposure, a human-linked cancer exposure. Our work demonstrates the relevance of cross-species comparative analysis in understanding both human and animal UC.
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Affiliation(s)
- Kim Wong
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Federico Abascal
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Latasha Ludwig
- Department of Pathobiology, University of Guelph, Guelph, ON, Canada
| | - Heike Aupperle-Lellbach
- Laboklin GmbH & Co. KG, Bad Kissingen, Germany and Institute of Pathology, Department Comparative Experimental Pathology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Julia Grassinger
- Laboklin GmbH & Co. KG, Bad Kissingen, Germany and Institute of Pathology, Department Comparative Experimental Pathology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Colin W Wright
- School of Pharmacy and Medical Sciences, University of Bradford, West Yorkshire, UK
| | - Simon J Allison
- Department of Pharmacy, University of Huddersfield, Queensgate, Huddersfield, UK
| | - Emma Pinder
- Department of Pharmacy, University of Huddersfield, Queensgate, Huddersfield, UK
| | - Roger M Phillips
- Department of Pharmacy, University of Huddersfield, Queensgate, Huddersfield, UK
| | - Laura P Romero
- Departmento de Patología, Facultad de Medicina Veterinaria Y Zootecnia, Universidad Nacional Autónoma de México (UNAM), CDMX, Mexico City, México
| | - Arnon Gal
- Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Patrick J Roady
- Department of Veterinary Clinical Medicine, College of Veterinary Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Isabel Pires
- Department of Veterinary Science, CECAV-Veterinary and Animal Research Center, University of Trás-Os-Montes and Alto Douro, Vila Real, Portugal
| | - Franco Guscetti
- Institute of Veterinary Pathology, University of Zurich, Zurich, Switzerland
| | - John S Munday
- School of Veterinary Science, Massey University, Palmerston North, New Zealand
| | - Maria C Peleteiro
- Faculty of Veterinary Medicine, Centre for Interdisciplinary Research in Animal Health (CIISA), University of Lisbon, Lisbon, Portugal
| | - Carlos A Pinto
- Faculty of Veterinary Medicine, Centre for Interdisciplinary Research in Animal Health (CIISA), University of Lisbon, Lisbon, Portugal
| | | | - João Cota
- Faculty of Veterinary Medicine, Centre for Interdisciplinary Research in Animal Health (CIISA), University of Lisbon, Lisbon, Portugal
| | | | | | | | - Lars Moe
- Department of Companion Animal Clinical Sciences, Norwegian University of Life Sciences, Ås, Norway
| | - Simone de Brot
- Institute of Animal Pathology, COMPATH, University of Bern, Bern, Switzerland
| | | | - Renée Laufer Amorim
- Veterinary Clinic Department, School of Veterinary Medicine and Animal Science, São Paulo State University, Botucatu, Brazil
| | - Smitha R Georgy
- Department of Anatomic Pathology, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Victoria, Australia
| | - Justina Prada
- Department of Veterinary Science, CECAV-Veterinary and Animal Research Center, University of Trás-Os-Montes and Alto Douro, Vila Real, Portugal
| | - Jorge Del Pozo
- Royal Dick School of Veterinary Sciences, University of Edinburgh, Roslin, Scotland, UK
| | | | | | | | - Paolo Pazzi
- Department of Companion Animal Clinical Studies, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa
| | - Johan Steyl
- Department of Paraclinical Sciences, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa
| | - Rodrigo Ubukata
- E+ Especialidades Veterinárias - Veterinary Oncology, São Paulo, Brazil
| | - Peter Vajdovich
- Department of Clinical Pathology and Oncology, University of Veterinary Medicine Budapest, Budapest, Hungary
| | - Simon L Priestnall
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hatfield, UK
| | - Alejandro Suárez-Bonnet
- Department of Pathobiology and Population Sciences, The Royal Veterinary College, Hatfield, UK
| | - Franco Roperto
- Dipartimento Di Biologia, Università Degli Studi Di Napoli Federico II, Napoli, Italy
| | | | - Chiara Palmieri
- School of Veterinary Science, The University of Queensland, Brisbane, QLD, Australia
| | - Ana L Ortiz
- School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK
| | - Claudio S L Barros
- Faculdade de Medicina Veterinária E Zootecnia, Universidade Federal de Mato Grosso Do Sul, Campo Grande, MS, Brazil
| | - Aldo Gava
- Pathology Laboratory of the Centro de Ciencias Agro-Veterinarias, Universidade Do Estado de Santa Catarina, Lages, SC, Brazil
| | - Minna E Söderström
- Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki, Helsinki, Finland
| | - Marie O'Donnell
- Department of Pathology, Western General Hospital, Edinburgh, Scotland, UK
| | - Robert Klopfleisch
- Institute of Veterinary Pathology, Freie Universität Berlin, Berlin, Germany
| | - Andrea Manrique-Rincón
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Inigo Martincorena
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Ingrid Ferreira
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
| | - Mark J Arends
- University of Edinburgh Division of Pathology, Cancer Research UK Edinburgh Cancer Centre, Institute of Genetics & Cancer, Edinburgh, Scotland, UK
| | - Geoffrey A Wood
- Department of Pathobiology, University of Guelph, Guelph, ON, Canada
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK.
| | - Louise van der Weyden
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, CB10 1SA, UK
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Novel Candidate loci and Pathogenic Germline Variants Involved in Familial Hematological Malignancies Revealed by Whole-Exome Sequencing. Cancers (Basel) 2023; 15:cancers15030944. [PMID: 36765901 PMCID: PMC9913276 DOI: 10.3390/cancers15030944] [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: 01/05/2023] [Revised: 01/27/2023] [Accepted: 01/31/2023] [Indexed: 02/05/2023] Open
Abstract
The familial occurrence of hematological malignancies has been underappreciated. Recent studies suggest that up to 15% of adults with myeloid neoplasms carry germline pathogenic variants in cancer-predisposing genes. This study aimed to identify the underlying germline predisposition variant in patients with a strong family or personal onco-hematological history using whole exome sequencing on sixteen uncharacterized individuals. It was carried out in two groups of patients, one with samples available from two affected relatives (Cohort A) and one with available samples from the index case (Cohort B). In Cohort A, six families were characterized. Two families shared variants in genes associated with DNA damage response and involved in cancer development (CHEK2 and RAD54L). Pathogenic or likely pathogenic germline variants were also found in novel candidate genes (NFATC2 and TC2N). In two families, any relevant pathogenic or likely pathogenic genomic variants were identified. In Cohort B, four additional index cases were analyzed. Three of them harbor clinically relevant variants in genes with a probable role in the development of inherited forms of hematological malignancies (GATA1, MSH4 and PRF1). Overall, whole exome sequencing is a useful approach to achieve a further characterization of these patients and their mutational spectra. Moreover, further investigations may help improve optimization for disease management of affected patients and their families.
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Response to Immune Checkpoint Inhibitors Is Affected by Deregulations in the Antigen Presentation Machinery: A Systematic Review and Meta-Analysis. J Clin Med 2022; 12:jcm12010329. [PMID: 36615128 PMCID: PMC9821706 DOI: 10.3390/jcm12010329] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 01/03/2023] Open
Abstract
Immune checkpoint inhibitors (ICI) targeting programmed death 1 (PD-1), its ligand (PD-L1), or cytotoxic T-lymphocyte antigen 4 (CTLA-4) have shown promising results against multiple cancers, where they reactivate exhausted T cells primed to eliminate tumor cells. ICI therapies have been particularly successful in hypermutated cancers infiltrated with lymphocytes. However, resistance may appear in tumors evading the immune system through alternative mechanisms than the PD-1/PD-L1 or CTLA-4 pathways. A systematic pan-cancer literature search was conducted to examine the association between alternative immune evasion mechanisms via the antigen presentation machinery (APM) and resistance towards ICI treatments targeting PD-1 (pembrolizumab and nivolumab), PD-L1 (durvalumab, avelumab, and atezolizumab), and CTLA-4 (ipilimumab). The APM proteins included the human leucocyte antigen (HLA) class I, its subunit beta-2 microglobulin (B2M), the transporter associated with antigen processing (TAP) 1, TAP2, and the NOD-like receptor family CARD domain containing 5 (NLRC5). In total, 18 cohort studies (including 21 original study cohorts) containing 966 eligible patients and 9 case studies including 12 patients were reviewed. Defects in the APM significantly predicted poor clinical benefit with an odds ratio (OR) of 0.39 (95% CI 0.24−0.63, p < 0.001). The effect was non-significant, when considering complete and partial responses only (OR = 0.52, 95% CI 0.18−1.47, p = 0.216). In summary, the APM contains important targets for tumorigenic alterations which may explain insensitivity towards ICI therapy.
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Bhattacharya P, Patel TN. Looking beyond the cytogenetics in haematological malignancies: decoding the role of tandem repeats in DNA repair genes. Mol Biol Rep 2022; 49:10293-10305. [PMID: 36097110 DOI: 10.1007/s11033-022-07761-y] [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: 04/26/2022] [Accepted: 06/30/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND In cancer research, one of the most significant findings was to characterize the DNA repair deficiency as carcinogenic. Amongst the various repair mechanisms, mismatch repair (MMR) and direct reversal of DNA damage systems are designated as multilevel safeguards in the human genome. Defects in these elevate the rate of mutations and results in dire consequences like cancer. Of the several molecular signatures in human genome, tandem repeats (TRs) appear at various frequencies in the exonic, intronic, and regulatory regions of the DNA. Hypervariability among these repeats in the coding and non-coding regions of the genes is well characterized for solid tumours, but its significance in haematologic malignancies remains to be explored. The purpose of our study was to elucidate the role of nucleotide repeat instability in the coding and non-coding regions of 10 different repair genes in myeloid and lymphoid cell lines compared to the control samples. METHODS AND RESULTS We selected MMR deficient extensively studied microsatellite instable colorectal cancer (HCT116), and MMR proficient breast cancer (MCF-7) cells along with underemphasized haematologic cancer cell lines to decipher the hypermutability of tandem repeats. A statistically significant TR variation was observed for MSH2 and MSH6 genes in 4 and 3 of the 6 cell lines respectively. KG1 (AML) and Daudi (Burkitt's lymphoma) were found to have compromised DNA repair competency with highly unstable nucleotide repeats. CONCLUSION Taken together, the results suggest that mutable TRs in intronic and non-intronic regions of repair genes in blood cancer might have a tumorigenic role. Since this is a pilot study on cell lines, high throughput research in large cohorts can be undertaken to reveal novel diagnostic markers for unexplained blood cancer patients with normal karyotypes or otherwise with karyotypic defects.
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Affiliation(s)
| | - Trupti N Patel
- Department of Integrative Biology, Vellore Institute of Technology, Vellore, India.
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9
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Madureira AC. Programmed Cell Death-Ligand-1 expression in Bladder Schistosomal Squamous Cell Carcinoma – There’s room for Immune Checkpoint Blockage? Front Immunol 2022; 13:955000. [PMID: 36148227 PMCID: PMC9486959 DOI: 10.3389/fimmu.2022.955000] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 08/16/2022] [Indexed: 11/17/2022] Open
Abstract
Schistosoma haematobium, the causative agent of urogenital schistosomiasis, is a carcinogen type 1 since 1994. It is strongly associated with bladder squamous-cell carcinoma in endemic regions, where it accounts for 53-69% of bladder-carcinoma cases. This histological subtype is associated with chronic inflammation being more aggressive and resistant to conventional chemo and radiotherapy. Immune-Checkpoint-Blockage (ICB) therapies targeting the Programmed-Cell-Death-Protein-1(PD-1)/Programmed-Cell-Death-Ligand-1(PD-L1) axis showed considerable success in treating advanced bladder urothelial carcinoma. PD-L1 is induced by inflammatory stimuli and expressed in immune and tumor cells. The binding of PD-L1 with PD-1 modulates immune response leading to T-cell exhaustion. PD-L1 presents in several isoforms and its expression is dynamic and can serve as a companion marker for patients’ eligibility, allowing the identification of positive tumors that are more likely to respond to ICB therapy. The high PD-L1 expression in bladder-urothelial-carcinoma and squamous-cell carcinoma may affect further ICB-therapy application and outcomes. In general, divergent histologies are ineligible for therapy. These treatments are expensive and prone to auto-immune side effects and resistance. Thus, biomarkers capable of predicting therapy response are needed. Also, the PD-L1 expression assessment still needs refinement. Studies focused on squamous cell differentiation associated with S. haematobium remain scarce. Furthermore, in low and middle-income-regions, where schistosomiasis is endemic, SCC biomarkers are needed. This mini-review provides an overview of the current literature regarding PD-L1 expression in bladder-squamous-cell-carcinoma and schistosomiasis. It aims to pinpoint future directions, controversies, challenges, and the importance of PD-L1 as a biomarker for diagnosis, disease aggressiveness, and ICB-therapy prognosis in bladder-schistosomal-squamous-cell carcinoma.
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Zhou C, Lin A, Cao M, Ding W, Mou W, Guo N, Chen Z, Zhang J, Luo P. Activation of the DDR Pathway Leads to the Down-Regulation of the TGFβ Pathway and a Better Response to ICIs in Patients With Metastatic Urothelial Carcinoma. Front Immunol 2021; 12:634741. [PMID: 34220801 PMCID: PMC8253049 DOI: 10.3389/fimmu.2021.634741] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 04/16/2021] [Indexed: 12/25/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) have changed the treatment paradigm of metastatic urothelial carcinoma (mUC), a dominant type of bladder cancer (BC). Previous studies have shown an association between gene mutations in the DNA damage response (DDR) pathway and the immunotherapy response in mUC but have neglected the effect of the activation level of the DDR pathway on the ICI response in mUC. A published immunotherapy cohort with genome, transcriptome and survival data for 348 mUC patients was used. An external cohort (The Cancer Genome Atlas Bladder Cancer) and the GSE78220 cohort were used for validation. The activation level of the DDR pathway was quantified using single-sample gene set enrichment analysis (ssGSEA). Further analysis on the genome, immunogenicity, and the immune microenvironment was conducted using the DDR ssGSEA enrichment score-high (DSSH) group and the DDR ssGSEA enrichment score-low (DSSL) group. In the mUC cohorts, the DSSH group was associated with longer overall survival times (P=0.026; Hazard ratio=0.67; 95%CI: 0.46−0.95). The DSSH group was also associated with higher tumor mutation burden, neoantigen load, immune-activated cell patterns, and immune-related gene expression levels. The GSEA results indicated an immune activation state in DSSH group, which correlated with a down-regulation in the transforming growth factor β receptor signaling pathway. Our study suggests that the activation level of the DDR pathway may be a novel predictive marker for immunotherapy efficacy in patients with mUC.
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Affiliation(s)
- Chaozheng Zhou
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Anqi Lin
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Manming Cao
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Weimin Ding
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Weiming Mou
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Ningyi Guo
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhenyu Chen
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jian Zhang
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Peng Luo
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Liu WQ, Li WL, Ma SM, Liang L, Kou ZY, Yang J. Discovery of core gene families associated with liver metastasis in colorectal cancer and regulatory roles in tumor cell immune infiltration. Transl Oncol 2021; 14:101011. [PMID: 33450702 PMCID: PMC7810789 DOI: 10.1016/j.tranon.2021.101011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 12/01/2020] [Accepted: 01/04/2021] [Indexed: 01/21/2023] Open
Abstract
In this study, we aimed to uncover genes that drive the pathogenesis of liver metastasis in colorectal cancer (CRC), and identify effective genes that could serve as potential therapeutic targets for treating with colorectal liver metastasis patients based on two GEO datasets. Several bioinformatics approaches were implemented. First, differential expression analysis screened out key differentially expressed genes (DEGs) across the two GEO datasets. Based on gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, we identified the enrichment functions and pathways of the DEGs that were associated with liver metastasis in CRC. Second, immune infiltration analysis identified key immune signature gene sets associated with CRC liver metastasis, among which two key immune gene families (CD and CCL) identified as key DEGs were filtered by protein-protein interaction (PPI) network. Some of the members in these gene families were associated with disease free survival (DFS) or overall survival (OS) in two subtypes of CRC, namely COAD and READ. Finally, functional enrichment analysis of the two gene families and their neighboring genes revealed that they were closely associated with cytokine, leukocyte proliferation and chemotaxis. These results are valuable in comprehending the pathogenesis of liver metastasis in CRC, and are of seminal importance in understanding the role of immune tumor infiltration in CRC. Our study also identified potentially effective therapeutic targets for liver metastasis in CRC including CCL20, CCL24 and CD70.
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Affiliation(s)
- Wei-Qing Liu
- Department of Internal Medicine-Oncology, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, PR China
| | - Wen-Liang Li
- Department of Oncology, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang road, Kunming, Yunnan 650032, PR China
| | - Shu-Min Ma
- Department of Oncology, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang road, Kunming, Yunnan 650032, PR China
| | - Lei Liang
- Department of Oncology, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang road, Kunming, Yunnan 650032, PR China
| | - Zhi-Yong Kou
- Department of Oncology, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang road, Kunming, Yunnan 650032, PR China
| | - Jun Yang
- Department of Oncology, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang road, Kunming, Yunnan 650032, PR China.
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