HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy.


Journal

Journal for immunotherapy of cancer
ISSN: 2051-1426
Titre abrégé: J Immunother Cancer
Pays: England
ID NLM: 101620585

Informations de publication

Date de publication:
04 2021
Historique:
accepted: 25 02 2021
entrez: 16 4 2021
pubmed: 17 4 2021
medline: 18 12 2021
Statut: ppublish

Résumé

The human leucocyte antigen (HLA) complex controls adaptive immunity by presenting defined fractions of the intracellular and extracellular protein content to immune cells. Understanding the benign HLA ligand repertoire is a prerequisite to define safe T-cell-based immunotherapies against cancer. Due to the poor availability of benign tissues, if available, normal tissue adjacent to the tumor has been used as a benign surrogate when defining tumor-associated antigens. However, this comparison has proven to be insufficient and even resulted in lethal outcomes. In order to match the tumor immunopeptidome with an equivalent counterpart, we created the HLA Ligand Atlas, the first extensive collection of paired HLA-I and HLA-II immunopeptidomes from 227 benign human tissue samples. This dataset facilitates a balanced comparison between tumor and benign tissues on HLA ligand level. Human tissue samples were obtained from 16 subjects at autopsy, five thymus samples and two ovary samples originating from living donors. HLA ligands were isolated via immunoaffinity purification and analyzed in over 1200 liquid chromatography mass spectrometry runs. Experimentally and computationally reproducible protocols were employed for data acquisition and processing. The initial release covers 51 HLA-I and 86 HLA-II allotypes presenting 90,428 HLA-I- and 142,625 HLA-II ligands. The HLA allotypes are representative for the world population. We observe that immunopeptidomes differ considerably between tissues and individuals on source protein and HLA-ligand level. Moreover, we discover 1407 HLA-I ligands from non-canonical genomic regions. Such peptides were previously described in tumors, peripheral blood mononuclear cells (PBMCs), healthy lung tissues and cell lines. In a case study in glioblastoma, we show that potential on-target off-tumor adverse events in immunotherapy can be avoided by comparing tumor immunopeptidomes to the provided multi-tissue reference. Given that T-cell-based immunotherapies, such as CAR-T cells, affinity-enhanced T cell transfer, cancer vaccines and immune checkpoint inhibition, have significant side effects, the HLA Ligand Atlas is the first step toward defining tumor-associated targets with an improved safety profile. The resource provides insights into basic and applied immune-associated questions in the context of cancer immunotherapy, infection, transplantation, allergy and autoimmunity. It is publicly available and can be browsed in an easy-to-use web interface at

Sections du résumé

BACKGROUND
The human leucocyte antigen (HLA) complex controls adaptive immunity by presenting defined fractions of the intracellular and extracellular protein content to immune cells. Understanding the benign HLA ligand repertoire is a prerequisite to define safe T-cell-based immunotherapies against cancer. Due to the poor availability of benign tissues, if available, normal tissue adjacent to the tumor has been used as a benign surrogate when defining tumor-associated antigens. However, this comparison has proven to be insufficient and even resulted in lethal outcomes. In order to match the tumor immunopeptidome with an equivalent counterpart, we created the HLA Ligand Atlas, the first extensive collection of paired HLA-I and HLA-II immunopeptidomes from 227 benign human tissue samples. This dataset facilitates a balanced comparison between tumor and benign tissues on HLA ligand level.
METHODS
Human tissue samples were obtained from 16 subjects at autopsy, five thymus samples and two ovary samples originating from living donors. HLA ligands were isolated via immunoaffinity purification and analyzed in over 1200 liquid chromatography mass spectrometry runs. Experimentally and computationally reproducible protocols were employed for data acquisition and processing.
RESULTS
The initial release covers 51 HLA-I and 86 HLA-II allotypes presenting 90,428 HLA-I- and 142,625 HLA-II ligands. The HLA allotypes are representative for the world population. We observe that immunopeptidomes differ considerably between tissues and individuals on source protein and HLA-ligand level. Moreover, we discover 1407 HLA-I ligands from non-canonical genomic regions. Such peptides were previously described in tumors, peripheral blood mononuclear cells (PBMCs), healthy lung tissues and cell lines. In a case study in glioblastoma, we show that potential on-target off-tumor adverse events in immunotherapy can be avoided by comparing tumor immunopeptidomes to the provided multi-tissue reference.
CONCLUSION
Given that T-cell-based immunotherapies, such as CAR-T cells, affinity-enhanced T cell transfer, cancer vaccines and immune checkpoint inhibition, have significant side effects, the HLA Ligand Atlas is the first step toward defining tumor-associated targets with an improved safety profile. The resource provides insights into basic and applied immune-associated questions in the context of cancer immunotherapy, infection, transplantation, allergy and autoimmunity. It is publicly available and can be browsed in an easy-to-use web interface at

Identifiants

pubmed: 33858848
pii: jitc-2020-002071
doi: 10.1136/jitc-2020-002071
pmc: PMC8054196
pii:
doi:

Substances chimiques

Antigens, Neoplasm 0
HLA Antigens 0
Ligands 0
Peptides 0
Proteome 0
Receptors, Chimeric Antigen 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: LB, DJK, ML and LKF are employees of Immatics Biotechnologies. LB, DJK, MWL and SS are inventors of patents owned by Immatics Biotechnologies. MWL has acted as a paid consultant in cancer immunology for Boehringer Ingehlheim Pharma & Co. KG. H-GR is shareholder of Immatics Biotechnologies and Curevac AG.

Références

Mol Cell Proteomics. 2007 Jan;6(1):102-13
pubmed: 17074750
Nature. 1994 Mar 17;368(6468):215-21
pubmed: 8145819
Nat Commun. 2016 Jan 27;7:10499
pubmed: 26813108
Genome Med. 2019 Apr 30;11(1):28
pubmed: 31039795
Cell. 1978 May;14(1):9-20
pubmed: 667938
Proc Natl Acad Sci U S A. 2017 Nov 14;114(46):E9942-E9951
pubmed: 29093164
Nature. 2019 Jan;565(7738):240-245
pubmed: 30568303
J Am Soc Mass Spectrom. 2015 Nov;26(11):1865-74
pubmed: 26115965
J Immunol. 2017 Nov 1;199(9):3360-3368
pubmed: 28978689
Mol Cell Proteomics. 2012 Apr;11(4):M111.010587
pubmed: 22186715
Science. 2015 Jan 23;347(6220):1260419
pubmed: 25613900
Nature. 2014 May 29;509(7502):582-7
pubmed: 24870543
J Am Soc Mass Spectrom. 2016 Nov;27(11):1719-1727
pubmed: 27572102
Nucleic Acids Res. 2018 Jan 4;46(D1):D1237-D1247
pubmed: 28985418
BMC Med Genomics. 2018 Mar 27;11(1):36
pubmed: 29587858
Sci Transl Med. 2013 Aug 7;5(197):197ra103
pubmed: 23926201
Mol Cell Proteomics. 2015 Sep;14(9):2394-404
pubmed: 25987413
J Exp Med. 2008 Mar 17;205(3):595-610
pubmed: 18299400
Mol Syst Biol. 2019 Feb 18;15(2):e8503
pubmed: 30777892
J Proteome Res. 2020 Jun 5;19(6):2304-2315
pubmed: 32308001
Immunity. 2019 Oct 15;51(4):766-779.e17
pubmed: 31495665
Int Rev Immunol. 1993;10(4):291-300
pubmed: 8294842
Nature. 2017 Jul 13;547(7662):217-221
pubmed: 28678778
J Immunol. 2017 Oct 15;199(8):2639-2651
pubmed: 28904123
Nat Biotechnol. 2019 Nov;37(11):1283-1286
pubmed: 31611696
Nat Biotechnol. 2020 Mar;38(3):276-278
pubmed: 32055031
Immunology. 2018 Jul;154(3):331-345
pubmed: 29658117
Nature. 2017 Jul 13;547(7662):222-226
pubmed: 28678784
Proteomics. 2018 Jun;18(12):e1700464
pubmed: 29377634
Nat Methods. 2016 Aug 30;13(9):741-8
pubmed: 27575624
Nucleic Acids Res. 2015 Jan;43(Database issue):D405-12
pubmed: 25300482
Immunogenetics. 1999 Nov;50(3-4):213-9
pubmed: 10602881
Nucleic Acids Res. 2019 Jan 8;47(D1):D442-D450
pubmed: 30395289
Nat Protoc. 2016 Dec;11(12):2301-2319
pubmed: 27809316
Front Immunol. 2017 Oct 20;8:1367
pubmed: 29104575
Mol Cell Proteomics. 2009 Nov;8(11):2405-17
pubmed: 19608599
Cancer Immunol Res. 2020 Aug;8(8):1018-1026
pubmed: 32561536
Mol Cell Proteomics. 2020 Jan;19(1):31-49
pubmed: 31744855
Science. 2001 Feb 16;291(5507):1304-51
pubmed: 11181995
Nat Commun. 2017 Oct 20;8(1):1077
pubmed: 29057876
Nucleic Acids Res. 2009 Jan;37(Database issue):D816-9
pubmed: 18838390
Science. 2015 May 8;348(6235):660-5
pubmed: 25954002
Mol Cell Proteomics. 2014 Aug;13(8):2056-71
pubmed: 24623587
BMC Bioinformatics. 2007 Nov 30;8:468
pubmed: 18053132
Curr Opin Immunol. 1995 Feb;7(1):85-96
pubmed: 7772286
Nature. 2001 Feb 15;409(6822):860-921
pubmed: 11237011
Nat Commun. 2016 Nov 21;7:13404
pubmed: 27869121
Sci Transl Med. 2018 Dec 5;10(470):
pubmed: 30518613
Nucleic Acids Res. 2019 Jan 8;47(D1):D419-D426
pubmed: 30407594
J Proteome Res. 2019 Nov 1;18(11):3876-3884
pubmed: 31589052
Gastroenterol Jpn. 1992 Feb;27(1):23-8
pubmed: 1555745
Nat Methods. 2019 Jan;16(1):63-66
pubmed: 30573815
Blood. 2013 Aug 8;122(6):863-71
pubmed: 23770775
J Immunol. 2002 Nov 1;169(9):5089-97
pubmed: 12391225
Science. 2015 May 8;348(6235):648-60
pubmed: 25954001
Immunity. 2017 Aug 15;47(2):203-208
pubmed: 28813649
Br J Haematol. 1982 Nov;52(3):411-20
pubmed: 6957244
PLoS Comput Biol. 2013 Oct;9(10):e1003266
pubmed: 24204222
Nature. 2014 May 29;509(7502):575-81
pubmed: 24870542
PLoS One. 2018 Jan 19;13(1):e0191603
pubmed: 29352322
Cell. 2020 Oct 1;183(1):269-283.e19
pubmed: 32916130
Hum Immunol. 1985 Mar;12(3):165-76
pubmed: 3872291
J Proteome Res. 2017 Aug 4;16(8):2964-2974
pubmed: 28673088
Front Immunol. 2018 May 03;9:872
pubmed: 29774024
Bioinformatics. 2014 Dec 1;30(23):3310-6
pubmed: 25143287
Nat Commun. 2020 Mar 10;11(1):1293
pubmed: 32157095
Prog Mol Biol Transl Sci. 2019;164:25-60
pubmed: 31383407

Auteurs

Ana Marcu (A)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany ana@hla-ligand-atlas.org.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.

Leon Bichmann (L)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.

Leon Kuchenbecker (L)

Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.

Daniel Johannes Kowalewski (DJ)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.

Lena Katharina Freudenmann (LK)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.

Linus Backert (L)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.

Lena Mühlenbruch (L)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.

András Szolek (A)

Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.

Maren Lübke (M)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.

Philipp Wagner (P)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany.

Tobias Engler (T)

Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany.

Sabine Matovina (S)

Department of Obstetrics and Gynecology, University Hospital of Tübingen, Tübingen, Germany.

Jian Wang (J)

Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Mathias Hauri-Hohl (M)

Pediatric Stem Cell Transplantation, University Children's Hospital Zurich, Zurich, Switzerland.

Roland Martin (R)

Neuroimmunology and MS Research, Neurology Clinic, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Konstantina Kapolou (K)

Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.

Juliane Sarah Walz (JS)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
Clinical Collaboration Unit Translational Immunology, German Cancer Consortium (DKTK), University Hospital of Tübingen, Tübingen, Germany.
Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology (IKP) and Robert Bosch Center for Tumor Diseases (RBCT), Stuttgart, Germany.

Julia Velz (J)

Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.

Holger Moch (H)

Department of Pathology and Molecular Pathology, University Hospital and University of Zurich, Zurich, Switzerland.

Luca Regli (L)

Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.

Manuela Silginer (M)

Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.

Michael Weller (M)

Clinical Neuroscience Center and Department of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.

Markus W Löffler (MW)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.
Department of General, Visceral and Transplant Surgery, University Hospital of Tübingen, Tübingen, Germany.
Department of Clinical Pharmacology, University of Hospital Tübingen, Tübingen, Germany.

Florian Erhard (F)

Institute for Virology and Immunobiology, Julius-Maximilians-University Würzburg, Würzburg, Bayern, Germany.

Andreas Schlosser (A)

Rudolf Virchow Center - Center for Integrative and Translational Bioimaging, Julius-Maximilians-University Würzburg, Würzburg, Germany.

Oliver Kohlbacher (O)

Applied Bioinformatics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.
Institute for Bioinformatics and Medical Informatics, University of Tübingen, Tübingen, Germany.
Quantitative Biology Center (QBiC), University of Tübingen, Tübingen, Germany.
Biomolecular Interactions, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Cluster of Excellence Machine Learning in the Sciences (EXC 2064), University of Tübingen, Tübingen, Germany.
Institute for Translational Bioinformatics, University Hospital Tübingen, Tübingen, Germany.

Stefan Stevanović (S)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.

Hans-Georg Rammensee (HG)

Department of Immunology, Interfaculty Institute for Cell Biology, University of Tübingen, Tübingen, Germany.
Cluster of Excellence iFIT (EXC 2180) "Image-Guided and Functionally Instructed Tumor Therapies", University of Tübingen, Tübingen, Germany.
DKFZ Partner Site Tübingen, German Cancer Consortium (DKTK), Tübingen, Germany.

Marian Christoph Neidert (MC)

Clinical Neuroscience Center and Department of Neurosurgery, University Hospital and University of Zurich, Zurich, Switzerland.
Department of Neurosurgery, Cantonal Hospital St.Gallen, St.Gallen, Switzerland.
Neuroscience Center Zurich (ZNZ), University of Zurich and ETH Zurich, Zurich, Switzerland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH