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Collier JL, Pauken KE, Lee CA, Patterson DG, Markson SC, Conway TS, Fung ME, France JA, Mucciarone KN, Lian CG, Murphy GF, Sharpe AH. Single-cell profiling reveals unique features of diabetogenic T cells in anti-PD-1-induced type 1 diabetes mice. J Exp Med 2023; 220:e20221920. [PMID: 37432393 PMCID: PMC10336233 DOI: 10.1084/jem.20221920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Revised: 04/28/2023] [Accepted: 06/23/2023] [Indexed: 07/12/2023] Open
Abstract
Immune-related adverse events (irAEs) are a notable complication of PD-1 cancer immunotherapy. A better understanding of how these iatrogenic diseases compare with naturally arising autoimmune diseases is needed for treatment and monitoring of irAEs. We identified differences in anti-PD-1-induced type 1 diabetes (T1D) and spontaneous T1D in non-obese diabetic (NOD) mice by performing single-cell RNA-seq and TCR-seq on T cells from the pancreas, pancreas-draining lymph node (pLN), and blood of mice with PD-1-induced T1D or spontaneous T1D. In the pancreas, anti-PD-1 resulted in expansion of terminally exhausted/effector-like CD8+ T cells, an increase in T-bethi CD4+FoxP3- T cells, and a decrease in memory CD4+FoxP3- and CD8+ T cells in contrast to spontaneous T1D. Notably, anti-PD-1 caused increased TCR sharing between the pancreas and the periphery. Moreover, T cells in the blood of anti-PD-1-treated mice expressed markers that differed from spontaneous T1D, suggesting that the blood may provide a window to monitor irAEs rather than relying exclusively on the autoimmune target organ.
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Affiliation(s)
- Jenna L. Collier
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | - Kristen E. Pauken
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Dillon G. Patterson
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | - Samuel C. Markson
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | - Thomas S. Conway
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | - Megan E. Fung
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | - Joshua A. France
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
| | | | - Christine G. Lian
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - George F. Murphy
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Arlene H. Sharpe
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA
- Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women’s Hospital, Boston, MA, USA
- Department of Pathology, Brigham and Women’s Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
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2
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Mwangi KW, Kamita MK, Waweru JW, Sayed S, Figueroa JD, Ambs S, Cios KJ, Blanck G, Makokha FW. Adaptive immune receptor features related to breast cancer tissue in Kenyan patients: high immunoglobulin gene expression and high levels of gamma-delta T-cells. Breast Cancer Res Treat 2023; 199:207-214. [PMID: 36882607 PMCID: PMC10687744 DOI: 10.1007/s10549-023-06897-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/15/2023] [Indexed: 03/09/2023]
Abstract
BACKGROUND Characterization of the breast cancer (BC) immune response may provide information for a point of intervention, such as application of immunotherapeutic treatments. In this study, we sought to recover and characterize the adaptive immune receptor (IR) recombination reads from genomics files representing Kenyan patients, to better understand the immune response specifically related to those patients. METHODS We used a previously applied algorithm and software to obtain productive IR recombination reads from cancer and adjacent normal tissue samples representing 22 Kenyan BC patients. RESULTS From both the RNAseq and exome files, there were significantly more T-cell receptor (TCR) recombination reads recovered from tumor samples compared to marginal tissue samples. Also, the immunoglobulin (IG) genes were expressed at a much higher level than the TCR genes (p-value = 0.0183) in the tumor samples. And, the tumor IG CDR3s consistently represented more positively charged amino acid R-groups, in comparison to the marginal tissue, IG CDR3s. CONCLUSION For Kenyan patients, a high level of IG expression, representing specific CDR3 chemistries, was associated with BC. These results lay the foundation for studies that could support specific immunotherapeutic interventions for Kenyan BC patients.
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Affiliation(s)
- Kennedy W Mwangi
- Directorate of Research & Innovation, Mount Kenya University, Thika, Kenya
| | - Moses K Kamita
- Directorate of Research & Innovation, Mount Kenya University, Thika, Kenya
| | | | - Shahin Sayed
- Department of Pathology, Aga Khan University Hospital Nairobi, Nairobi, Kenya
| | - Jonine D Figueroa
- Usher Institute and the Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Stefan Ambs
- National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Konrad J Cios
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Bd. MDC7, Tampa, FL, 33612, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Bd. MDC7, Tampa, FL, 33612, USA.
- Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA.
| | - Francis W Makokha
- Directorate of Research & Innovation, Mount Kenya University, Thika, Kenya
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3
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Angelakakis G, Serraneau KS, Barker VR, Callahan BM, Tong WL, Zaman S, Huda TI, Blanck G. TCR gene segment usage and HLA alleles that are associated with cancer survival rates also represent racial disparities. Int J Immunogenet 2023; 50:41-47. [PMID: 36585798 DOI: 10.1111/iji.12610] [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: 08/02/2022] [Revised: 12/08/2022] [Accepted: 12/13/2022] [Indexed: 01/01/2023]
Abstract
Understanding racial disparities in cancer outcomes continues to be a challenge, with likely many factors at play, including socioeconomic factors and genetic polymorphisms impacting basic cellular and molecular functions. Additionally, it is possible that specific combinations of environment and genetics have specific impacts. T-cell receptor (TCR) gene segment usage, HLA allele combinations have been associated with autoimmune and infectious disease courses, and more recently, TCR gene segment usage, HLA allele combinations have been associated with distinct survival outcomes in cancer as well. We examined several such, previously reported cancer-related TCR gene segment usage, HLA allele combinations for evidence of racial disparities, with regard to the prevalence of the combination in different racial groups. Results indicated that TCR gene segment usage, potentially reflecting environmental factors related to previous pathogen exposure, in combination with certain HLA alleles or independently, may represent a novel explanation for racial disparities in cancer outcomes. Overall, at this point, a genetic connection to racial disparities in cancer outcomes is detectable but remains modest, suggesting that other factors, such as socioeconomic factors, remain as important considerations.
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Affiliation(s)
- George Angelakakis
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Karisa S Serraneau
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Vayda R Barker
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Blake M Callahan
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Wei Lue Tong
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Saif Zaman
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.,Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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4
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Pauken KE, Lagattuta KA, Lu BY, Lucca LE, Daud AI, Hafler DA, Kluger HM, Raychaudhuri S, Sharpe AH. TCR-sequencing in cancer and autoimmunity: barcodes and beyond. Trends Immunol 2022; 43:180-194. [PMID: 35090787 PMCID: PMC8882139 DOI: 10.1016/j.it.2022.01.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 01/04/2022] [Accepted: 01/04/2022] [Indexed: 01/21/2023]
Abstract
The T cell receptor (TCR) endows T cells with antigen specificity and is central to nearly all aspects of T cell function. Each naïve T cell has a unique TCR sequence that is stably maintained during cell division. In this way, the TCR serves as a molecular barcode that tracks processes such as migration, differentiation, and proliferation of T cells. Recent technological advances have enabled sequencing of the TCR from single cells alongside deep molecular phenotypes on an unprecedented scale. In this review, we discuss strengths and limitations of TCR sequences as molecular barcodes and their application to study immune responses following Programmed Death-1 (PD-1) blockade in cancer. Additionally, we consider applications of TCR data beyond use as a barcode.
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Affiliation(s)
- Kristen E Pauken
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA.
| | - Kaitlyn A Lagattuta
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Benjamin Y Lu
- Department of Neurology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA; Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Liliana E Lucca
- Department of Neurology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA
| | - Adil I Daud
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - David A Hafler
- Department of Neurology and Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Harriet M Kluger
- Department of Medicine, Yale School of Medicine, New Haven, CT, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Boston, MA, USA; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA; Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Centre for Genetics and Genomics Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PL, UK
| | - Arlene H Sharpe
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA; Evergrande Center for Immunological Diseases, Harvard Medical School and Brigham and Women's Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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5
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Bentham R, Litchfield K, Watkins TBK, Lim EL, Rosenthal R, Martínez-Ruiz C, Hiley CT, Bakir MA, Salgado R, Moore DA, Jamal-Hanjani M, Swanton C, McGranahan N. Using DNA sequencing data to quantify T cell fraction and therapy response. Nature 2021; 597:555-560. [PMID: 34497419 DOI: 10.1038/s41586-021-03894-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/10/2021] [Indexed: 02/07/2023]
Abstract
The immune microenvironment influences tumour evolution and can be both prognostic and predict response to immunotherapy1,2. However, measurements of tumour infiltrating lymphocytes (TILs) are limited by a shortage of appropriate data. Whole-exome sequencing (WES) of DNA is frequently performed to calculate tumour mutational burden and identify actionable mutations. Here we develop T cell exome TREC tool (T cell ExTRECT), a method for estimation of T cell fraction from WES samples using a signal from T cell receptor excision circle (TREC) loss during V(D)J recombination of the T cell receptor-α gene (TCRA (also known as TRA)). TCRA T cell fraction correlates with orthogonal TIL estimates and is agnostic to sample type. Blood TCRA T cell fraction is higher in females than in males and correlates with both tumour immune infiltrate and presence of bacterial sequencing reads. Tumour TCRA T cell fraction is prognostic in lung adenocarcinoma. Using a meta-analysis of tumours treated with immunotherapy, we show that tumour TCRA T cell fraction predicts immunotherapy response, providing value beyond measuring tumour mutational burden. Applying T cell ExTRECT to a multi-sample pan-cancer cohort reveals a high diversity of the degree of immune infiltration within tumours. Subclonal loss of 12q24.31-32, encompassing SPPL3, is associated with reduced TCRA T cell fraction. T cell ExTRECT provides a cost-effective technique to characterize immune infiltrate alongside somatic changes.
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Affiliation(s)
- Robert Bentham
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- The Tumour Immunogenomics and Immunosurveillance Lab, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Thomas B K Watkins
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Emilia L Lim
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Rachel Rosenthal
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Carlos Martínez-Ruiz
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
| | - Crispin T Hiley
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Maise Al Bakir
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA, Antwerp, Belgium
- Division of Research, Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, Victoria, Australia
| | - David A Moore
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Cellular Pathology, University College London Hospitals, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
- Cancer Metastasis Lab, University College London Cancer Institute, London, UK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK
- Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK
- Department of Medical Oncology, University College London Hospitals, London, UK
| | - Nicholas McGranahan
- Cancer Genome Evolution Research Group, Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
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6
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Patel DN, Yeagley M, Arturo JF, Falasiri S, Chobrutskiy BI, Gozlan EC, Blanck G. A comparison of immune receptor recombination databases sourced from tumour exome or RNAseq files: Verifications of immunological distinctions between primary and metastatic melanoma. Int J Immunogenet 2021; 48:409-418. [PMID: 34298587 DOI: 10.1111/iji.12550] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 07/11/2021] [Indexed: 02/07/2023]
Abstract
It became apparent several years ago that RNAseq and exome files prepared from tissue could be mined for adaptive immune receptor (IR) recombinations, which has given extra value to datasets originally intended for gene expression or mutation studies. For example, recovery of IR recombination reads from tumour specimen genomics files can correlate with survival rates. In particular, many benchmarking processes have been applied to the two sets of the IR recombination reads obtained from the cancer genome atlas files, but these two sets have never been directly compared. Here we show that both sets largely agree regarding several parameters. For example, recovery of TRB recombination reads from both WXS and RNAseq files representing metastatic melanoma was associated with a better outcome (p < .0004 in both cases); and T-cell receptor recombination read recovery, for both genomics file types, associated very strongly with T-cell gene expression markers. However, the use of CDR3 chemical features for survival distinctions was not consistent. This topic, and the surprising result that both datasets indicated that primary melanoma with recovery of IR recombination reads, in stark contrast to metastatic melanoma, represents a worse outcome, are discussed.
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Affiliation(s)
- Dhruv N Patel
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Michelle Yeagley
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Juan F Arturo
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Shayan Falasiri
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Boris I Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Etienne C Gozlan
- 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, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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7
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Chobrutskiy BI, Chobrutskiy A, Zaman S, Yeagley M, Huda TI, Blanck G. High-throughput, sliding-window algorithm for assessing chemical complementarity between immune receptor CDR3 domains and cancer mutant peptides: TRG-PIK3CA interactions and breast cancer. Mol Immunol 2021; 135:247-253. [PMID: 33933816 DOI: 10.1016/j.molimm.2021.02.026] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 02/03/2021] [Accepted: 02/24/2021] [Indexed: 01/25/2023]
Abstract
Physicochemical assessments of a vast accumulation of adaptive immune receptor (IR) recombinations have led to correlations of those properties with sub-divisions of various diseases. In the cancer setting, such assessments, particularly for the complementarity determining region-3 (CDR3) immune receptor domain, have been used to establish chemical complementarity matches to mutant amino acids (AA). These matches, in some cases, over very large numbers of tumor samples, have correlated with survival and gene expression distinctions. For example, in melanoma, electrostatic charge based, T-cell receptor CDR3-DNAH9 mutant AA complementarity represents better survival over multiple datasets that represent tumor tissue, T-cell receptor CDR3s. In this report, the complementarity approach has been expanded to include a more comprehensive representation of the interaction of T-cell receptor CDR3s and mutant AAs by incorporating the impact of the wild-type AAs surrounding the mutant AA. This "sliding window" approach was benchmarked against two large datasets of empirically determined CDR3-epitope pairs; showed more significant patient subdivisions; revealed a novel, TRG CDR3-mutant PIK3CA linkage in breast cancer; and was particularly suited to use with big data collections using only modest and widely-available processors. Thus, the algorithm should support more rapid and convenient indications (or prescreens) of CDR3-mutant peptide interactions for more focused studies and more efficient development of patient immunology-related prognostic tools and therapies.
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Affiliation(s)
- Boris I Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States
| | - Andrea Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States
| | - Saif Zaman
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States
| | - Michelle Yeagley
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States
| | - Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, FL, United States; Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, United States.
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8
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Yeagley M, Chobrutskiy BI, Gozlan EC, Medikonda N, Patel DN, Falasiri S, Callahan BM, Huda T, Blanck G. Electrostatic Complementarity of T-Cell Receptor-Alpha CDR3 Domains and Mutant Amino Acids Is Associated with Better Survival Rates for Sarcomas. Pediatr Hematol Oncol 2021; 38:251-264. [PMID: 33616477 DOI: 10.1080/08880018.2020.1843576] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
While sarcoma immunology has advanced with regard to basic, and even some applied topics, this disease has not been subject to more recent immunogenomics approaches. Thus, we assessed the immune receptor recombinations available from the cancer genome atlas (TCGA) sarcoma database via tumor sample exome and RNASeq files. Results indicated that recovery of T-cell receptor-alpha recombination reads (TRA) correlated with a better survival rate, with the expression of T-cell biomarkers, and with tumor sample apoptosis signatures consistent with the longer patient survival times. Furthermore, samples representing TRA complementarity determining region-3 (CDR3) net charge per residue (NCPR) based complementarity with the corresponding sarcoma mutanome had a better survival rate, and more granzyme expression, than samples lacking such complementarity. By specifically using RNASeq-recovered TRA CDR3s and related NCPR assessments, three genes, TP53, ATRX, and RB1, were identified as being key components of the mutanome-based complementarity. Thus, these genes may represent key immune system targets for soft tissue sarcomas. Also, several key results from above were reproduced with a pediatric osteosarcoma dataset, work that led to identification of MUC6 mutations as potentially linked to a strong immune response. In sum, TRA CDR3s are likely to be important prognostic indicators, and possibly a beginning tool for immunotherapy development strategies, for adult and pediatric sarcomas.
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Affiliation(s)
- Michelle Yeagley
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Boris I Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Etienne C Gozlan
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Nikhila Medikonda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Dhruv N Patel
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Shayan Falasiri
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Blake M Callahan
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - Taha Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.,Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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9
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Huda TI, Mihyu M, Gozlan EC, Arndt MF, Diaz MJ, Zaman S, Chobrutskiy BI, Blanck G. Specific HLA alleles, paired with TCR V- and J-gene segment usage, link to distinct multiple myeloma survival rates. Leuk Lymphoma 2021; 62:1711-1720. [PMID: 33622167 DOI: 10.1080/10428194.2021.1885655] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Multiple myeloma (MM) immunogenomics studies related to T-cell characterizations and involving large patient sets have been lacking, particularly in comparison to solid tumor types. Thus, we evaluated (i) HLA alleles, and (ii) T-Cell Receptor (TCR) V- and J-gene segment, HLA allele combinations, based on TCR recombinations in blood samples, for their potential associations with overall survival distinctions among an MM cohort. Two HLA alleles, and seven TCR V- or J-gene segment, HLA allele combinations were found to be associated with distinct overall survival rates. For examples, HLA-C*08:02, and the TRAV19, HLA-C*07:01 combination, were found to be associated with negative outcomes. In addition, anti-cytomegalovirus immune receptor sequences, from blood samples, were found to be associated with a positive outcome (p = 0.012, n = 278). These data, and other related immunogenomics data, indicate a potential opportunity to use personal immunogenetics parameters as guides to prognosis and therapies.
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Affiliation(s)
- Taha I Huda
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Moody Mihyu
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Etienne C Gozlan
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Mary F Arndt
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Michael J Diaz
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Saif Zaman
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Boris I Chobrutskiy
- 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, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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10
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Nachmanson D, Steward J, Yao H, Officer A, Jeong E, O'Keefe TJ, Hasteh F, Jepsen K, Hirst GL, Esserman LJ, Borowsky AD, Harismendy O. Mutational profiling of micro-dissected pre-malignant lesions from archived specimens. BMC Med Genomics 2020; 13:173. [PMID: 33208147 PMCID: PMC7672910 DOI: 10.1186/s12920-020-00820-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 11/09/2020] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Systematic cancer screening has led to the increased detection of pre-malignant lesions (PMLs). The absence of reliable prognostic markers has led mostly to over treatment resulting in potentially unnecessary stress, or insufficient treatment and avoidable progression. Importantly, most mutational profiling studies have relied on PML synchronous to invasive cancer, or performed in patients without outcome information, hence limiting their utility for biomarker discovery. The limitations in comprehensive mutational profiling of PMLs are in large part due to the significant technical and methodological challenges: most PML specimens are small, fixed in formalin and paraffin embedded (FFPE) and lack matching normal DNA. METHODS Using test DNA from a highly degraded FFPE specimen, multiple targeted sequencing approaches were evaluated, varying DNA input amount (3-200 ng), library preparation strategy (BE: Blunt-End, SS: Single-Strand, AT: A-Tailing) and target size (whole exome vs. cancer gene panel). Variants in high-input DNA from FFPE and mirrored frozen specimens were used for PML-specific variant calling training and testing, respectively. The resulting approach was applied to profile and compare multiple regions micro-dissected (mean area 5 mm2) from 3 breast ductal carcinoma in situ (DCIS). RESULTS Using low-input FFPE DNA, BE and SS libraries resulted in 4.9 and 3.7 increase over AT libraries in the fraction of whole exome covered at 20x (BE:87%, SS:63%, AT:17%). Compared to high-confidence somatic mutations from frozen specimens, PML-specific variant filtering increased recall (BE:85%, SS:80%, AT:75%) and precision (BE:93%, SS:91%, AT:84%) to levels expected from sampling variation. Copy number alterations were consistent across all tested approaches and only impacted by the design of the capture probe-set. Applied to DNA extracted from 9 micro-dissected regions (8 PML, 1 normal epithelium), the approach achieved comparable performance, illustrated the data adequacy to identify candidate driver events (GATA3 mutations, ERBB2 or FGFR1 gains, TP53 loss) and measure intra-lesion genetic heterogeneity. CONCLUSION Alternate experimental and analytical strategies increased the accuracy of DNA sequencing from archived micro-dissected PML regions, supporting the deeper molecular characterization of early cancer lesions and achieving a critical milestone in the development of biology-informed prognostic markers and precision chemo-prevention strategies.
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Affiliation(s)
- Daniela Nachmanson
- Bioinformatics and Systems Biology Graduate Program - UC San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Joseph Steward
- Moores Cancer Center - UC San Diego Health - 3855 Health Sciences Dr., La Jolla, CA, 92093, USA
| | - Huazhen Yao
- Institute for Genomic Medicine - UC San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Adam Officer
- Bioinformatics and Systems Biology Graduate Program - UC San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA.,Division of Biomedical Informatics, Department of Medicine - UC San Diego School of Medicine, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Eliza Jeong
- Moores Cancer Center - UC San Diego Health - 3855 Health Sciences Dr., La Jolla, CA, 92093, USA
| | - Thomas J O'Keefe
- Division of Breast Surgery and The Comprehensive Breast Health Center - UC San Diego School of Medicine, 3855 Health Sciences Dr., La Jolla, CA, 92093, USA
| | - Farnaz Hasteh
- Department of Pathology - UC San Diego School of Medicine, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Kristen Jepsen
- Institute for Genomic Medicine - UC San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA
| | - Gillian L Hirst
- Helen Diller Family Comprehensive Cancer Center - UC San Francisco School of Medicine, 1450 3rd St, San Francisco, CA, 94158, USA
| | - Laura J Esserman
- Helen Diller Family Comprehensive Cancer Center - UC San Francisco School of Medicine, 1450 3rd St, San Francisco, CA, 94158, USA
| | - Alexander D Borowsky
- Department of Pathology and Laboratory Medicine - UC Davis Comprehensive Cancer Center, UC Davis School of Medicine, 2279 45th Street, Sacramento, CA, 95817, USA
| | - Olivier Harismendy
- Moores Cancer Center - UC San Diego Health - 3855 Health Sciences Dr., La Jolla, CA, 92093, USA. .,Division of Biomedical Informatics, Department of Medicine - UC San Diego School of Medicine, 9500 Gilman Dr., La Jolla, CA, 92093, USA.
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11
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Gomez-Macias GS, Molinar-Flores G, Lopez-Garcia CA, Santuario-Facio S, Decanini-Arcaute H, Valero-Elizondo J, Treviño-Alvarado V, Ortiz-Lopez R, Dono A, Esteban-Zubero E, Alatorre-Jimenez MA, Garza CV, Peña-Curiel O, Cardona-Huerta S. Immunotyping of tumor-infiltrating lymphocytes in triple-negative breast cancer and genetic characterization. Oncol Lett 2020; 20:140. [PMID: 32934708 PMCID: PMC7471657 DOI: 10.3892/ol.2020.12000] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2019] [Accepted: 07/13/2020] [Indexed: 12/13/2022] Open
Abstract
Tumor-infiltrating lymphocytes (TILs) reflect the host immune response against cancer cells. Immunomodulators have been recently suggested as a novel therapeutic strategy against triple-negative breast cancer (TNBC). However, the TIL profile in TNBC has not been thoroughly investigated. In the present study, the percentage, immunophenotype and genetic profiles of TILs in pre-surgical tumor samples of patients with TNBC were evaluated prior to neoadjuvant chemotherapy (NAC). Patients diagnosed with breast cancer at Hospital San José TecSalud were consecutively and prospectively enrolled in the present study between August 2011 and August 2015. The pathological response to NAC was evaluated using the de Miller-Payne and MD Anderson Cancer Center system. TIL percentage (low, intermediate, and high) was evaluated using special hematoxylin-eosin staining on the core needle biopsies. The immunophenotype of TILs was assessed by immunohistochemistry (IHC) for CD3+, CD4+ and CD8+. In addition, the gene expression profile of CD3, CD4, CD8, CD20, CD45, forkhead box P3, interleukin 6, programmed cell death 1 and CD274 molecule was assessed in all patients. A total of 26 samples from patients with TNBC prior to NAC were included in the present study. TILs were low in 30.7%, intermediate in 38.4% and elevated in 30.7% of tumors. CD3+ and CD4+ counts were associated with the pathological response to NAC (P=0.04). Finally, an overexpression pattern of CD3, CD4, CD8, CD45 and CD20 genes was observed in patients with a partial or complete pathological response. The present results demonstrated that TILs may predict the pathological response to NAC in patients with TNBC. Furthermore, a more accurate association was identified between the high expression levels of CD3, CD4, CD8, CD45 and CD20 genes and partial and complete pathological response, compared with the association between high expression and IHC alone.
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Affiliation(s)
- Gabriela Sofia Gomez-Macias
- Department of Pathology, Hospital San José TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México.,Department of Pathology, Hospital Universitario, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León 64460, México
| | - Guillermo Molinar-Flores
- Department of Pathology, Hospital San José TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Carlos A Lopez-Garcia
- Department of Pathology, Hospital San José TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Sandra Santuario-Facio
- Laboratorio de Investigacion, Tecnologico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Horacio Decanini-Arcaute
- Department of Pathology, Hospital Christus Muguerza of Alta Especialidad, Monterrey, Nuevo León 64060, México
| | - Javier Valero-Elizondo
- Breast Cancer Center, Hospital San José, TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
| | | | - Rocio Ortiz-Lopez
- Laboratorio de Investigacion, Tecnologico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Antonio Dono
- Vivian L. Smith Department of Neurosurgery, The University of Texas Health Science Center at Houston, Medical School, Houston, TX 77030, USA
| | | | | | - Cynthia Villarreal Garza
- Breast Cancer Center, Hospital San José, TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Omar Peña-Curiel
- Breast Cancer Center, Hospital San José, TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
| | - Servando Cardona-Huerta
- Breast Cancer Center, Hospital San José, TecSalud, Tecnológico de Monterrey, Monterrey, Nuevo León 64710, México
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12
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Clonotypic heterogeneity in cutaneous T-cell lymphoma (mycosis fungoides) revealed by comprehensive whole-exome sequencing. Blood Adv 2020; 3:1175-1184. [PMID: 30967393 DOI: 10.1182/bloodadvances.2018027482] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 02/26/2019] [Indexed: 12/24/2022] Open
Abstract
Mycosis fungoides (MF), the most common type of cutaneous T-cell lymphoma, is believed to represent a clonal expansion of a transformed skin-resident memory T cell. T-cell receptor (TCR) clonality (ie, identical sequences of rearranged TCRα, TCRβ, and TCRγ), the key premise of this hypothesis, has been difficult to document conclusively because malignant cells are not readily distinguishable from the tumor-infiltrating reactive lymphocytes that contribute to the TCR clonotypic repertoire of MF. Here, we have successfully adopted targeted whole-exome sequencing (WES) to identify the repertoire of rearranged TCR genes in tumor-enriched samples from patients with MF. Although some of the investigated MF biopsies had the expected frequency of monoclonal rearrangements of TCRγ corresponding to that of tumor cells, the majority of the samples presented multiple TCRγ, TCRα, and TCRβ clonotypes by WES. Our findings are compatible with the model in which the initial malignant transformation in MF does not occur in mature memory T cells but rather at the level of T-lymphocyte progenitors before TCRβ or TCRα rearrangements. We have also shown that WES can be combined with whole-transcriptome sequencing in the same sample, which enables comprehensive characterization of the TCR repertoire in relation to tumor content. WES/whole-transcriptome sequencing might be applicable to other types of T-cell lymphomas to determine clonal dominance and clonotypic heterogeneity in these malignancies.
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13
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Pakasticali N, Gill T, Chobrutskiy BI, Tong WL, Ramsamooj M, Blanck G. TRAV gene segments further away from the TRAJ gene segment cluster appear more commonly in human tumor and blood samples. Mol Immunol 2019; 116:174-179. [PMID: 31704500 DOI: 10.1016/j.molimm.2019.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 09/17/2019] [Accepted: 10/13/2019] [Indexed: 10/25/2022]
Abstract
We considered the possibility that the greater the distance between an immune receptor V and J, the more likely the V usage. Such a hypothesis is supported by results from mouse experiments. And, such a hypothesis is consistent with the fundamental nature of recombination and genomic distance: the further the distance, the greater the chance of a DNA break. Thus, we exploited the vast dataset of V and J recombination reads available for the human TRA gene, particularly from cancer and blood specimens, to assess the frequency of TRAV usage with respect to distance from the TRAJ cluster. Results indicated that, indeed, over the entire TRAV cluster, there is a greater chance of V usage the further the distance from the J cluster. These results do not address causation, and are not consistent for certain individual V gene segments, but the results do indicate that overall, the larger the distance between the V and J gene segment cluster, the more likely the appearance of at least a subset of TRAV segments, particularly among tumor infiltrating lymphocytes. With a similar approach, the distal TRAV gene segments were also found to be more commonly associated with a subset of distal TRAJ segments. These results have implications for restrictions on the apparent TRA repertoire in disease settings.
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Affiliation(s)
- Nagehan Pakasticali
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States; Department of Basic Sciences, National University of Health Sciences, Pinellas Park, Florida, 33781, United States
| | - Tommy Gill
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States
| | - Boris I Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States
| | - Wei Lue Tong
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States
| | - Michael Ramsamooj
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, Florida, 33612, United States; Department of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, 33612, United States.
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14
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Bioinformatic methods for cancer neoantigen prediction. PROGRESS IN MOLECULAR BIOLOGY AND TRANSLATIONAL SCIENCE 2019; 164:25-60. [PMID: 31383407 DOI: 10.1016/bs.pmbts.2019.06.016] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Tumor cells accumulate aberrations not present in normal cells, leading to presentation of neoantigens on MHC molecules on their surface. These non-self neoantigens distinguish tumor cells from normal cells to the immune system and are thus targets for cancer immunotherapy. The rapid development of molecular profiling platforms, such as next-generation sequencing, has enabled the generation of large datasets characterizing tumor cells. The simultaneous development of algorithms has enabled rapid and accurate processing of these data. Bioinformatic software tools encoding the algorithms can be strung together in a workflow to identify neoantigens. Here, with a focus on high-throughput sequencing, we review state-of-the art bioinformatic tools along with the steps and challenges involved in neoantigen identification and recognition.
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15
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Ostmeyer J, Christley S, Toby IT, Cowell LG. Biophysicochemical Motifs in T-cell Receptor Sequences Distinguish Repertoires from Tumor-Infiltrating Lymphocyte and Adjacent Healthy Tissue. Cancer Res 2019; 79:1671-1680. [PMID: 30622114 DOI: 10.1158/0008-5472.can-18-2292] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2018] [Revised: 11/16/2018] [Accepted: 01/03/2019] [Indexed: 12/19/2022]
Abstract
Immune repertoire deep sequencing allows comprehensive characterization of antigen receptor-encoding genes in a lymphocyte population. We hypothesized that this method could enable a novel approach to diagnose disease by identifying antigen receptor sequence patterns associated with clinical phenotypes. In this study, we developed statistical classifiers of T-cell receptor (TCR) repertoires that distinguish tumor tissue from patient-matched healthy tissue of the same organ. The basis of both classifiers was a biophysicochemical motif in the complementarity determining region 3 (CDR3) of TCRβ chains. To develop each classifier, we extracted 4-mers from every TCRβ CDR3 and represented each 4-mer using biophysicochemical features of its amino acid sequence combined with quantification of 4-mer (or receptor) abundance. This representation was scored using a logistic regression model. Unlike typical logistic regression, the classifier is fitted and validated under the requirement that at least 1 positively labeled 4-mer appears in every tumor repertoire and no positively labeled 4-mers appear in healthy tissue repertoires. We applied our method to publicly available data in which tumor and adjacent healthy tissue were collected from each patient. Using a patient-holdout cross-validation, our method achieved classification accuracy of 93% and 94% for colorectal and breast cancer, respectively. The parameter values for each classifier revealed distinct biophysicochemical properties for tumor-associated 4-mers within each cancer type. We propose that such motifs might be used to develop novel immune-based cancer screening assays. SIGNIFICANCE: This study presents a novel computational approach to identify T-cell repertoire differences between normal and tumor tissue.See related commentary by Zoete and Coukos, p. 1299.
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Affiliation(s)
- Jared Ostmeyer
- Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas
| | - Scott Christley
- Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas
| | - Inimary T Toby
- Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas
| | - Lindsay G Cowell
- Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas.
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16
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Nicolini A, Ferrari P, Rossi G, Carpi A. Tumour growth and immune evasion as targets for a new strategy in advanced cancer. Endocr Relat Cancer 2018; 25:R577–R604. [PMID: 30306784 DOI: 10.1530/erc-18-0142] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
It has become clearer that advanced cancer, especially advanced breast cancer, is an entirely displayed pathological system that is much more complex than previously considered. However, the direct relationship between tumour growth and immune evasion can represent a general rule governing the pathological cancer system from the initial cancer cells to when the system is entirely displayed. Accordingly, a refined pathobiological model and a novel therapeutic strategy are proposed. The novel therapeutic strategy is based on therapeutically induced conditions (undetectable tumour burden and/or a prolonged tumour ‘resting state’), which enable an efficacious immune response in advanced breast and other types of solid cancers.
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Affiliation(s)
- Andrea Nicolini
- Department of Oncology, Transplantations and New Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Paola Ferrari
- Department of Oncology, Transplantations and New Technologies in Medicine, University of Pisa, Pisa, Italy
| | - Giuseppe Rossi
- Unit of Epidemiology and Biostatistics, Institute of Clinical Physiology, National Council of Research, Pisa, Italy
| | - Angelo Carpi
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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17
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Recovery of T-cell receptor V(D)J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade. J Neurooncol 2018; 140:697-704. [DOI: 10.1007/s11060-018-03001-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Accepted: 09/15/2018] [Indexed: 12/11/2022]
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18
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Tong WL, Callahan BM, Tu YN, Zaman S, Chobrutskiy BI, Blanck G. Immune receptor recombinations from breast cancer exome files, independently and in combination with specific HLA alleles, correlate with better survival rates. Breast Cancer Res Treat 2018; 173:167-177. [DOI: 10.1007/s10549-018-4961-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 09/06/2018] [Indexed: 12/14/2022]
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19
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Zaman S, Chobrutskiy BI, Patel JS, Callahan BM, Tong WL, Blanck G. Mutant cytoskeletal and ECM peptides sensitive to the ST14 protease are associated with a worse outcome for glioblastoma multiforme. Biochem Biophys Res Commun 2018; 503:2218-2225. [PMID: 29953855 DOI: 10.1016/j.bbrc.2018.06.141] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 06/25/2018] [Indexed: 11/19/2022]
Abstract
We previously identified a set of the most frequently mutated cytoskeleton- and extracellular matrix-related proteins (CECMPs) in numerous cancer datasets. In this report, we used a bioinformatics approach to assess the impact of amino acid (AA) substitutions on the sensitivity of CECMPs to the ST14 protease (matriptase I), a transmembrane serine protease previously implicated in cancer development. Results indicated that AA substitutions in glioblastoma multiforme (GBM) CECMPs are skewed toward increased resistance to the ST14 protease, in comparison to the wild-type peptide sequence. Furthermore, the protease resistant AA substitutions represent relatively high binding affinities to HLA class I proteins, when assessing the binding specificities using HLA class I alleles matched to the source of the mutant AA. Moreover, samples representing AA substitutions that increased protease sensitivity also represented reduced overall and disease-free survival periods for patients with glioblastoma. To assess tumor specimen immunogenicity, we identified T-cell receptor (TCR) V(D)J recombinations in GBM exome files. The overlap between ST14 protease sensitive mutant barcodes and the TCR V(D)J recombination read positive barcodes represented significantly reduced survival.
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Affiliation(s)
- Saif Zaman
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Boris I Chobrutskiy
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jay S Patel
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Blake M Callahan
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Wei Lue Tong
- 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; Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
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20
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Recovery of Immunoglobulin VJ Recombinations from Pancreatic Cancer Exome Files Strongly Correlates with Reduced Survival. CANCER MICROENVIRONMENT 2018; 11:51-59. [PMID: 29404962 DOI: 10.1007/s12307-018-0205-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 01/04/2018] [Indexed: 01/05/2023]
Abstract
We assessed pancreatic cancer, lymphocyte infiltrates with a computational genomics approach. We took advantage of tumor-specimen exome files available from the cancer genome atlas to mine T- and B-cell immune receptor recombinations, using highly efficient, scripted algorithms established in several previous reports. Surprisingly, the results indicated that pancreatic cancer exomes represent one of the highest level yields for immune receptor recombinations, significantly higher than two comparison cancers used in this study, head and neck and bladder cancer. In particular, pancreatic cancer exomes have very large numbers of immunoglobulin light chain recombinations, both with regard to number of samples characterized by recovery of such recombinations and with regard to numbers of recombination reads per sample. These results were consistent with B-cell biomarkers, which emphasized the Th2 nature of the pancreatic lymphocyte infiltrate. The tumor specimen exomes with B-cell immune receptor recombination reads represented a dramatically poor outcome, a result not detected with either the head and neck or bladder cancer datasets. The results presented here support the potential value of immunotherapies designed to engineer a Th2 to Th1 shift in treating certain forms of pancreatic cancer.
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21
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High-throughput sequencing of the immune repertoire in oncology: Applications for clinical diagnosis, monitoring, and immunotherapies. Cancer Lett 2017; 416:42-56. [PMID: 29247824 DOI: 10.1016/j.canlet.2017.12.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 12/11/2017] [Accepted: 12/11/2017] [Indexed: 12/21/2022]
Abstract
The diagnostic, monitoring and therapeutic options for cancers currently remain limited. These limitations represent a large threat to human health. Adaptive immunity, which is dependent on diverse repertoires of B cell receptors (BCRs) and T cell receptors (TCRs), plays a critical role in the anti-tumor immune response. Modulation and surveillance of adaptive immunity has become a powerful weapon to combat cancers. Recently, the high-throughput sequencing of immune repertoire (HTS-IR) technology, which provides a robust tool for deep sequencing repertoires of BCRs or TCRs, has been applied in the development of tumor biomarkers and immunotherapeutics for cancers. This review will first provide an overview of the advancement of HTS-IR technology at the population-cell and single-cell levels. It will then provide a current summary of the applications of HTS-IR technology in the diagnosis and monitoring of minimal residual disease (MRD), focusing on immune reconstitution after the treatment of allogeneic hematopoietic stem cell transplantation (allo-HSCT) in B/T-cell malignancies, and the precise detection of tumor-infiltrating lymphocytes (TILs) in non-B/T-cell malignancies. Finally, current advances of HTS-IR technology in cancer immunotherapeutic applications, such as therapeutic antibodies, CAR-T cell based-adoptive immunotherapies, and neoantigen-specific TCR-T cell-based adoptive immunotherapies, will be introduced.
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22
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Abstract
The rapid development of immunomodulatory cancer therapies has led to a concurrent increase in the application of informatics techniques to the analysis of tumors, the tumor microenvironment, and measures of systemic immunity. In this review, the use of tumors to gather genetic and expression data will first be explored. Next, techniques to assess tumor immunity are reviewed, including HLA status, predicted neoantigens, immune microenvironment deconvolution, and T-cell receptor sequencing. Attempts to integrate these data are in early stages of development and are discussed in this review. Finally, we review the application of these informatics strategies to therapy development, with a focus on vaccines, adoptive cell transfer, and checkpoint blockade therapies.
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Affiliation(s)
- J Hammerbacher
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston
| | - A Snyder
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York
- Adaptive Biotechnologies, Seattle, USA
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23
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Tu YN, Tong WL, Fawcett TJ, Blanck G. Lung tumor exome files with T-cell receptor recombinations: a mouse model of T-cell infiltrates reflecting mutation burdens. J Transl Med 2017; 97:1516-1520. [PMID: 28805806 DOI: 10.1038/labinvest.2017.80] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Revised: 05/15/2017] [Accepted: 05/30/2017] [Indexed: 12/24/2022] Open
Abstract
Tumor exomes and RNASeq data were originally intended for obtaining tumor mutations and gene expression profiles, respectively. However, recent work has determined that tumor exome and RNAseq read files contain reads representing T-cell and B-cell receptor (TcR and BcR) recombinations, presumably due to infiltrating lymphocytes. Furthermore, the recovery of immune receptor recombination reads has demonstrated correlations with specific, previously appreciated aspects of tumor immunology. To further understand the usefulness of recovering TcR and BcR recombinations from tumor exome files, we developed a scripted algorithm for recovery of reads representing these recombinations from a previously described mouse model of lung tumorigenesis. Results indicated that exomes representing lung adenomas reveal significantly more TcR recombinations than do exomes from lung adenocarcinomas; and that exome files representing high mutation adenomas, arising from chemical mutagens, have more TcR recombinations than do exome files from low mutation adenomas arising from an activating Kras mutation. The latter results were also consistent with a similar analysis performed on human lung adenocarcinoma exomes. The mouse and human results for obtaining TcR recombination reads from tumor specimen exomes are consistent with human tumor biology results indicating that adenomas and high mutation cancers are sites of high immune activity. The results indicate hitherto unappreciated opportunities for the use of tumor specimen exome files, particularly from experimental animal models, to study the connection between the adenoma stage of tumorigenesis, or high cancer mutation rates, and high level lymphocyte infiltrates.
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Affiliation(s)
- Yaping N Tu
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Wei Lue Tong
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Timothy J Fawcett
- Department of Chemical and Biomedical Engineering, College of Engineering, Research Computing University of South Florida, Tampa, FL, USA
| | - George Blanck
- Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.,Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
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T cell receptor sequencing of early-stage breast cancer tumors identifies altered clonal structure of the T cell repertoire. Proc Natl Acad Sci U S A 2017; 114:E10409-E10417. [PMID: 29138313 PMCID: PMC5715779 DOI: 10.1073/pnas.1713863114] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Tumor-infiltrating T cells play an important role in many cancers, and can improve prognosis and yield therapeutic targets. We characterized T cells infiltrating both breast cancer tumors and the surrounding normal breast tissue to identify T cells specific to each, as well as their abundance in peripheral blood. Using immune profiling of the T cell beta-chain repertoire in 16 patients with early-stage breast cancer, we show that the clonal structure of the tumor is significantly different from adjacent breast tissue, with the tumor containing ∼2.5-fold greater density of T cells and higher clonality compared with normal breast. The clonal structure of T cells in blood and normal breast is more similar than between blood and tumor, and could be used to distinguish tumor from normal breast tissue in 14 of 16 patients. Many T cell sequences overlap between tissue and blood from the same patient, including ∼50% of T cells between tumor and normal breast. Both tumor and normal breast contain high-abundance "enriched" sequences that are absent or of low abundance in the other tissue. Many of these T cells are either not detected or detected with very low frequency in the blood, suggesting the existence of separate compartments of T cells in both tumor and normal breast. Enriched T cell sequences are typically unique to each patient, but a subset is shared between many different patients. We show that many of these are commonly generated sequences, and thus unlikely to play an important role in the tumor microenvironment.
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Clavijo-Salomon MA, Bergami-Santos PC, M Barbuto JA. Immunomonitoring reveals interruption of anergy after vaccination in a case of type-2-papillary renal cell carcinoma. Immunotherapy 2017; 9:319-329. [PMID: 28303767 DOI: 10.2217/imt-2016-0145] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
With the enormous and growing interest in the clinical application of immunotherapy, we are currently facing the need to accurately monitor the immune function of cancer patients. Here, we describe changes in the immune status of a patient with metastatic type-2-papillary renal cell carcinoma, before and after surgery and subsequent immunotherapy with a dendritic cell-tumor cell hybrid vaccine. Through the accurate assessment of monocyte-derived dendritic cells (Mo-DCs) function, we show that Mo-DCs were freed from tumor-induced maturation blockage by tumor resection surgery, while Mo-DCs-tumor induced suppression and anergy were only interrupted by the vaccination treatment. Our data suggest that the evaluation of Mo-DCs' function may provide a powerful and precise tool to monitor immune restoration in cancer patients.
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Affiliation(s)
- Maria A Clavijo-Salomon
- Laboratory of Tumor Immunology, Department of Immunology, Institute of Biomedical Sciences, University of Sao Paulo, Av. Prof. Lineu Prestes, 1730, São Paulo, SP CEP 05508-900, Brazil
| | - Patricia C Bergami-Santos
- Laboratory of Tumor Immunology, Department of Immunology, Institute of Biomedical Sciences, University of Sao Paulo, Av. Prof. Lineu Prestes, 1730, São Paulo, SP CEP 05508-900, Brazil
| | - José Alexandre M Barbuto
- Laboratory of Tumor Immunology, Department of Immunology, Institute of Biomedical Sciences, University of Sao Paulo, Av. Prof. Lineu Prestes, 1730, São Paulo, SP CEP 05508-900, Brazil.,Cell & Molecular Therapy Center NUCEL-NETCEM, University of Sao Paulo, Sao Paulo, SP - Brazil
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26
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Tu YN, Tong WL, Samy MD, Yavorski JM, Kim M, Blanck G. Assessing microenvironment immunogenicity using tumor specimen exomes: Co-detection of TcR-α/β V(D)J recombinations correlates with PD-1 expression. Int J Cancer 2017; 140:2568-2576. [DOI: 10.1002/ijc.30675] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 01/24/2017] [Accepted: 02/17/2017] [Indexed: 02/04/2023]
Affiliation(s)
- Yaping N. Tu
- Department of Molecular Medicine; Morsani College of Medicine, University of South Florida; Tampa FL
| | - Wei Lue Tong
- Department of Molecular Medicine; Morsani College of Medicine, University of South Florida; Tampa FL
| | - Mohammad D. Samy
- Department of Molecular Medicine; Morsani College of Medicine, University of South Florida; Tampa FL
| | - John M. Yavorski
- Department of Molecular Medicine; Morsani College of Medicine, University of South Florida; Tampa FL
| | - Minjung Kim
- Department of Molecular Oncology; H. Lee Moffitt Cancer Center and Research Institute; Tampa FL
| | - George Blanck
- Department of Molecular Medicine; Morsani College of Medicine, University of South Florida; Tampa FL
- Immunology Program, H. Lee Moffitt Cancer Center and Research Institute; Tampa FL
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