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Wolmarans HJ, Barker VR, Chobrutskiy A, Chobrutskiy BI, Huda TI, Blanck G. Exploiting big data survival information to unify risk-stratification related, adaptive immune receptor parameters for multiple myeloma. Genes Immun 2023; 24:194-199. [PMID: 37443300 DOI: 10.1038/s41435-023-00212-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 06/27/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023]
Abstract
With the improvement of treatment options, multiple myeloma related life expectancy has been prolonged, but the disease remains largely incurable. Immunotherapy is a growing field that shows promise in advancements for treatment, and recent work has demonstrated an opportunity to use immune receptor, complementarity determining region-3 (CDR3)-candidate antigen chemical complementarity scores to identify survival distinctions among subgroups of patients. Here, we have applied the complementarity scoring algorithm to identify multiple myeloma related, CDR3-cancer testis antigen (CTA) relationships associated with survival distinctions. Furthermore, we have overlapped these immune receptor features with a previous study that showed a dramatic survival distinction based on T-cell receptor, V- and J-gene segment usage, HLA allele combinations, whereby 100% of the patients in certain combination groups had no mortality related to multiple myeloma, during the study period. This overlap evaluation was consistent with the idea that there are likely considerable constraints on productive TRB-antigen-HLA combinations but more flexibility, and unpredictability, for the TRA-antigen-HLA combinations. Also, the approaches in this reported indicated the potential importance of the CTA, IGSF11, as a multiple myeloma antigen, an antigen previously, independently considered as a vaccine candidate in other settings.
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Affiliation(s)
- Hope J Wolmarans
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA
| | - Vayda R Barker
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA
| | - Andrea Chobrutskiy
- Department of Pediatrics, Oregon Health and Science University Hospital, Portland, OR, 97239, USA
| | - Boris I Chobrutskiy
- Department of Internal Medicine, Oregon Health and Science University Hospital, Portland, OR, 97239, USA
| | - Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, 33612, USA.
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
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López-Andreo MJ, Vicente-Romero MR, Bernal E, Navarro-González I, Salazar-Martínez F, Cánovas-Cánovas V, Gil-Ortuño C, Riquelme-Rocamora MG, Solano F, Ibáñez-López FJ, Tomás C, Candel-Pérez C, Pérez-Parra S, Flores-Flores C. Whole Sequencing and Detailed Analysis of SARS-CoV-2 Genomes in Southeast Spain: Identification of Recurrent Mutations in the 20E (EU1) Variant with Some Clinical Implications. Diseases 2023; 11:diseases11020054. [PMID: 37092436 PMCID: PMC10123601 DOI: 10.3390/diseases11020054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 03/25/2023] [Accepted: 03/29/2023] [Indexed: 04/03/2023] Open
Abstract
During the COVID-19 pandemic caused by SARS-CoV-2, new waves have been associated with new variants and have the potential to escape vaccinations. Therefore, it is useful to conduct retrospective genomic surveillance research. Herein, we present a detailed analysis of 88 SARS-CoV-2 genomes belonging to samples taken from COVID-19 patients from October 2020 to April 2021 at the “Reina Sofía” Hospital (Murcia, Spain) focused to variant appeared later. The results at the mentioned stage show the turning point since the 20E (EU1) variant was still prevalent (71.6%), but Alpha was bursting to 14.8%. Concern mutations have been found in 5 genomes classified as 20E (EU1), which were not characteristic of this still little evolved variant. Most of those mutations are found in the spike protein, namely Δ69–70, E484K, Q675H and P681H. However, a relevant deletion in ORF1a at positions 3675–3677 was also identified. These mutations have been reported in many later SARS-CoV-2 lineages, including Omicron. Taken together, our data suggest that preferential emergence mutations could already be present in the early converging evolution. Aside from this, the molecular information has been contrasted with clinical data. Statistical analyses suggest that the correlation between age and severity criteria is significantly higher in the viral samples with more accumulated changes.
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Affiliation(s)
- María José López-Andreo
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | | | - Enrique Bernal
- Laboratorio de Microbiología del Hospital General Universitario Reina Sofía de Murcia, 30003 Murcia, Spain
- Correspondence: (E.B.); (F.S.)
| | - Inmaculada Navarro-González
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - Francisco Salazar-Martínez
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - Vanesa Cánovas-Cánovas
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - Cristina Gil-Ortuño
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - María Gema Riquelme-Rocamora
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - Francisco Solano
- Departamento de Bioquímica y Biología Molecular B e Inmunología, Universidad de Murcia, 30100 Murcia, Spain
- Correspondence: (E.B.); (F.S.)
| | - Francisco Javier Ibáñez-López
- Sección de Apoyo Estadístico, Servicio de Investigación Biosanitaria, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
| | - Cristina Tomás
- Laboratorio de Microbiología del Hospital General Universitario Reina Sofía de Murcia, 30003 Murcia, Spain
| | - Carmen Candel-Pérez
- Laboratorio de Microbiología del Hospital General Universitario Reina Sofía de Murcia, 30003 Murcia, Spain
| | | | - César Flores-Flores
- Servicio de Biología Molecular, Área Científica y Técnica de Investigación (ACTI), Universidad de Murcia, 30100 Murcia, Spain
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Hudock TR, Barker VR, Manley BJ, Chobrutskiy A, Chobrutskiy BI, Diaz MJ, Song JJ, Blanck G. TRB CDR3-cancer testis antigen chemical complementarity scoring for identifying productive immune responses in renal cell carcinoma. Cancer Biomark 2023; 38:103-110. [PMID: 37545223 DOI: 10.3233/cbm-230047] [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] [Indexed: 08/08/2023]
Abstract
BACKGROUND Immunogenomics approaches to the characterization of renal cell carcinoma (RCC) have helped to better our understanding of the features of RCC immune dysfunction. However, much is still unknown with regard to specific immune interactions and their impact in the tumor microenvironment. OBJECTIVE This study applied chemical complementarity scoring for the TRB complementarity determining region-3 (CDR3) amino acid sequences and cancer testis antigens (CTAs) to determine whether such complementarity correlated with survival and the expression of immune marker genes. METHODS TRB recombination reads from RCC tumor samples from RNAseq files obtained from two separate databases, Moffitt Cancer Center and The Cancer Genome Atlas (TCGA), were evaluated. Chemical complementarity scores (CSs) were calculated for TRB CDR3-CTA pairs and survival assessments based on those CSs were performed. RESULTS Moffitt Cancer Center and TCGA cases representing the upper 50th percentile of chemical CSs for TRB CDR3 amino acid sequences and the CTA POTEA were found to be associated with a better overall survival (OS) Also, greater tumor RNA expression of multiple immune signature genes, including granzyme A, granzyme B, and interferon-gamma were correlated with the higher chemical CSs. CONCLUSIONS These results indicate that TRB CDR3-CTA chemical complementarity scoring may be useful in distinguishing RCC cases with a productive, anti-tumor immune response from cases where basic immune parameter assessments are inconsistent with a productive immune response.
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Affiliation(s)
- Tabitha R Hudock
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Vayda R Barker
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Brandon J Manley
- Department of Genitourinary Oncology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Andrea Chobrutskiy
- Department of Pediatrics, Oregon Health and Science University Hospital, Portland, OR, USA
| | - Boris I Chobrutskiy
- Department of Internal Medicine, Oregon Health and Science University Hospital, Portland, OR, USA
| | - Michael J Diaz
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Joanna J Song
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Immunology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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da-Costa-Rodrigues B, Cheohen C, Sciammarella F, Pierre-Bonetti-Pozzobon A, Ribeiro L, Nepomuceno-Silva JL, Medeiros M, Mury F, Monteiro-de-Barros C, Lazoski C, Leal-da-Silva M, Tanuri A, Nunes-da-Fonseca R. SARS-CoV-2 Spatiotemporal Genomic and Molecular Analysis of the First Wave of the COVID-19 Pandemic in Macaé, the Brazilian Capital of Oil. Int J Mol Sci 2022; 23:ijms231911497. [PMID: 36232806 PMCID: PMC9569756 DOI: 10.3390/ijms231911497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/23/2022] [Accepted: 09/25/2022] [Indexed: 11/25/2022] Open
Abstract
The SARS-CoV-2 virus infection led to millions of deaths during the COVID-19 pandemic. Hundreds of workers from several other Brazilian cities, as well as from other countries, arrive daily in Macaé to work in the oil supply chain, making this city a putative hotspot for the introduction of new viral lineages. In this study, we performed a genomic survey of SARS-CoV-2 samples from Macaé during the first outbreak of COVID-19, combined with clinical data and a molecular integrative analysis. First, phylogenomic analyses showed a high occurrence of viral introduction events and the establishment of local transmissions in Macaé, including the ingression and spread of the B.1.1.28 lineage in the municipality from June to August 2020. Second, SARS-CoV-2 mutations were identified in patients with distinct levels of COVID-19 severity. Third, molecular interactions of the mutated spike protein from three B.1.1.33 local samples and human ACE2 showed higher interactions than that of the wild-type spike protein from the ancestral virus. Altogether, these results elucidate the SARS-CoV-2 genomic profile in a strategic Brazilian city and further explore the functional aspects of SARS-CoV-2 with a characterization of emerging viral mutations associated with clinical data and the potential targets for drug development against SARS-CoV-2.
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Affiliation(s)
- Bruno da-Costa-Rodrigues
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
- Programa de Ciências Morfológicas, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-170, Brazil
- Correspondence: (B.d.-C.-R.); (R.N.-d.-F.)
| | - Caio Cheohen
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Felipe Sciammarella
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Allan Pierre-Bonetti-Pozzobon
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Lupis Ribeiro
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - José Luciano Nepomuceno-Silva
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Marcio Medeiros
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Flávia Mury
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Cintia Monteiro-de-Barros
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Cristiano Lazoski
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Manuela Leal-da-Silva
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
| | - Amilcar Tanuri
- Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-902, Brazil
| | - Rodrigo Nunes-da-Fonseca
- Instituto de Biodiversidade e Sustentabilidade-NUPEM, Universidade Federal do Rio de Janeiro (UFRJ), Av. São José do Barreto 764, Macaé 27965-550, Brazil
- Programa de Ciências Morfológicas, Instituto de Ciências Biomédicas, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro 21941-170, Brazil
- Correspondence: (B.d.-C.-R.); (R.N.-d.-F.)
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Assmann JLJC, Kolijn PM, Schrijver B, van Gammeren AJ, Loth DW, Ermens TAAM, Dik WA, van der Velden VHJ, Langerak AW. TRB sequences targeting ORF1a/b are associated with disease severity in hospitalized COVID-19 patients. J Leukoc Biol 2021; 111:283-289. [PMID: 33847407 PMCID: PMC8250722 DOI: 10.1002/jlb.6covcra1120-762r] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
The potential protective or pathogenic role of the adaptive immune response to SARS‐CoV‐2 infection has been vigorously debated. While COVID‐19 patients consistently generate a T lymphocyte response to SARS‐CoV‐2 antigens, evidence of significant immune dysregulation in these patients continues to accumulate. In this study, next generation sequencing of the T cell receptor beta chain (TRB) repertoire was conducted in hospitalized COVID‐19 patients to determine if immunogenetic differences of the TRB repertoire contribute to disease course severity. Clustering of highly similar TRB CDR3 amino acid sequences across COVID‐19 patients yielded 781 shared TRB sequences. The TRB sequences were then filtered for known associations with common diseases such as EBV and CMV. The remaining sequences were cross‐referenced to a publicly accessible dataset that mapped COVID‐19 specific TCRs to the SARS‐CoV‐2 genome. We identified 158 SARS‐CoV‐2 specific TRB sequences belonging to 134 clusters in our COVID‐19 patients. Next, we investigated 113 SARS‐CoV‐2 specific clusters binding only one peptide target in relation to disease course. Distinct skewing of SARS‐CoV‐2 specific TRB sequences toward the nonstructural proteins (NSPs) encoded within ORF1a/b of the SARS‐CoV‐2 genome was observed in clusters associated with critical disease course when compared to COVID‐19 clusters associated with a severe disease course. These data imply that T‐lymphocyte reactivity towards peptides from NSPs of SARS‐CoV‐2 may not constitute an effective adaptive immune response and thus may negatively affect disease severity.
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Affiliation(s)
- Jorn L J C Assmann
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - P Martijn Kolijn
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Benjamin Schrijver
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Adriaan J van Gammeren
- Department of Clinical Chemistry and Hematology, Amphia Hospital, Breda, The Netherlands
| | - Daan W Loth
- Department of Pulmonology, Amphia Hospital, Breda, The Netherlands
| | - Ton A A M Ermens
- Department of Clinical Chemistry and Hematology, Amphia Hospital, Breda, The Netherlands
| | - Willem A Dik
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Vincent H J van der Velden
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Anton W Langerak
- Department of Immunology, Laboratory Medical Immunology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
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