1
|
Kina E, Laverdure JP, Durette C, Lanoix J, Courcelles M, Zhao Q, Apavaloaei A, Larouche JD, Hardy MP, Vincent K, Gendron P, Hesnard L, Thériault C, Ruiz Cuevas MV, Ehx G, Thibault P, Perreault C. Breast cancer immunopeptidomes contain numerous shared tumor antigens. J Clin Invest 2024; 134:e166740. [PMID: 37906288 PMCID: PMC10760959 DOI: 10.1172/jci166740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 10/23/2023] [Indexed: 11/02/2023] Open
Abstract
Hormone receptor-positive breast cancer (HR+) is immunologically cold and has not benefited from advances in immunotherapy. In contrast, subsets of triple-negative breast cancer (TNBC) display high leukocytic infiltration and respond to checkpoint blockade. CD8+ T cells, the main effectors of anticancer responses, recognize MHC I-associated peptides (MAPs). Our work aimed to characterize the repertoire of MAPs presented by HR+ and TNBC tumors. Using mass spectrometry, we identified 57,094 unique MAPs in 26 primary breast cancer samples. MAP source genes highly overlapped between both subtypes. We identified 25 tumor-specific antigens (TSAs) mainly deriving from aberrantly expressed regions. TSAs were most frequently identified in TNBC samples and were more shared among The Cancer Genome Atlas (TCGA) database TNBC than HR+ samples. In the TNBC cohort, the predicted number of TSAs positively correlated with leukocytic infiltration and overall survival, supporting their immunogenicity in vivo. We detected 49 tumor-associated antigens (TAAs), some of which derived from cancer-associated fibroblasts. Functional expansion of specific T cell assays confirmed the in vitro immunogenicity of several TSAs and TAAs. Our study identified attractive targets for cancer immunotherapy in both breast cancer subtypes. The higher prevalence of TSAs in TNBC tumors provides a rationale for their responsiveness to checkpoint blockade.
Collapse
Affiliation(s)
- Eralda Kina
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | | | - Joël Lanoix
- Institute for Research in Immunology and Cancer (IRIC), and
| | | | - Qingchuan Zhao
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Anca Apavaloaei
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Jean-David Larouche
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | | | | | | | - Leslie Hesnard
- Institute for Research in Immunology and Cancer (IRIC), and
| | | | - Maria Virginia Ruiz Cuevas
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| | - Grégory Ehx
- Laboratory of Hematology, GIGA-I3, University of Liege and CHU of Liège, Liege, Belgium
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Chemistry, University of Montreal, Montreal, Quebec, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), and
- Department of Medicine, University of Montreal, Montreal, Quebec, Canada
| |
Collapse
|
2
|
Cuevas MVR, Hardy MP, Larouche JD, Apavaloaei A, Kina E, Vincent K, Gendron P, Laverdure JP, Durette C, Thibault P, Lemieux S, Perreault C, Ehx G. BamQuery: a proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens. Genome Biol 2023; 24:188. [PMID: 37582761 PMCID: PMC10426134 DOI: 10.1186/s13059-023-03029-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 07/31/2023] [Indexed: 08/17/2023] Open
Abstract
MHC-I-associated peptides deriving from non-coding genomic regions and mutations can generate tumor-specific antigens, including neoantigens. Quantifying tumor-specific antigens' RNA expression in malignant and benign tissues is critical for discriminating actionable targets. We present BamQuery, a tool attributing an exhaustive RNA expression to MHC-I-associated peptides of any origin from bulk and single-cell RNA-sequencing data. We show that many cryptic and mutated tumor-specific antigens can derive from multiple discrete genomic regions, abundantly expressed in normal tissues. BamQuery can also be used to predict MHC-I-associated peptides immunogenicity and identify actionable tumor-specific antigens de novo.
Collapse
Affiliation(s)
- Maria Virginia Ruiz Cuevas
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Marie-Pierre Hardy
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Jean-David Larouche
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Anca Apavaloaei
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Eralda Kina
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Krystel Vincent
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Patrick Gendron
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Jean-Philippe Laverdure
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Chantal Durette
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Pierre Thibault
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Chemistry, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Sébastien Lemieux
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Claude Perreault
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada
- Department of Medicine, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Grégory Ehx
- Institute for Research in Immunology and Cancer (IRIC), Université de Montréal, Montreal, QC, H3C 3J7, Canada.
- Laboratory of Hematology, GIGA-I3, University of Liege, CHU of Liege, Liege, Belgium.
| |
Collapse
|
3
|
Cuevas MVR, Hardy MP, Larouche JD, Apavaloaei A, Kina E, Vincent K, Gendron P, Laverdure JP, Durette C, Thibault P, Lemieux S, Perreault C, Ehx G. Abstract 2987: BamQuery: a new proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens. Cancer Res 2023. [DOI: 10.1158/1538-7445.am2023-2987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Abstract
MHC class I-associated peptides (MAPs), collectively referred to as the immunopeptidome, have a pivotal role in cancer immunosurveillance. While MAPs were long thought to be solely generated by the degradation of canonical proteins, recent advances in the field of proteogenomics (genomically-informed proteomics) evidenced that ∼10% of them originate from allegedly noncoding genomic sequences. Among these sequences, endogenous retroelements (EREs) are under intense scrutiny as a possible source of actionable tumor antigens (TAs). With the increasing number of cancer-oriented immunopeptidomic and proteogenomic studies comes the need to accurately attribute an RNA expression level to each MAP identified by mass-spectrometry. Here, we introduce BamQuery (BQ), a computational tool to attribute an exhaustive RNA expression to MAPs of any genomic origin (exon, intron, UTR, intergenic) from bulk and single-cell RNA-sequencing data. By using BQ on large datasets of published MAPs identified by mass spectrometry, we show that many of them can arise from more than one genomic region. Indeed, 27% of MAPs reported as deriving from protein-coding exons (canonical MAPs) could also arise from non-canonical genomic regions, sometimes with greater probability, and 61% of non-canonical MAPs could arise from more than a single genomic origin (334 possible regions on average per non-canonical MAP; up to 35,343 for EREs). The consideration of all these origins evidenced an unsuspected high RNA expression in normal human tissues of (i) published neoantigens/TAs (mutated or not); (ii) MAPs derived from proteasomal splicing, supposedly not genomically templated, and (iii) MAPs derived from viruses. In particular, the high expression of candidate immunotherapeutic targets such as TAs highlights the relevance of BamQuery and the necessity of using it to validate such antigens before translating their usage in clinical trials. We also demonstrate that BamQuery can be used to directly identify safe and actionable TAs as well as to predict their immunogenicity through our freely accessible web portal (https://bamquery.iric.ca/search). Therefore, BQ could become an essential tool in any TA prioritization pipeline in the near future.
Citation Format: Maria-Virginia Ruiz Cuevas, Marie-Pierre Hardy, Jean-David Larouche, Anca Apavaloaei, Eralda Kina, Krystel Vincent, Patrick Gendron, Jean-Philippe Laverdure, Chantal Durette, Pierre Thibault, Sebastien Lemieux, Claude Perreault, Gregory Ehx. BamQuery: a new proteogenomic tool to explore the immunopeptidome and prioritize actionable tumor antigens [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2987.
Collapse
Affiliation(s)
| | | | | | | | - Eralda Kina
- 1University of Montreal, Montreal, Quebec, Canada
| | | | | | | | | | | | | | | | | |
Collapse
|
4
|
Kina E, Laverdure JP, Durette C, Lanoix J, Zhao Q, Apavaloaei A, Hesnard L, Ruiz Cuevas MV, Larouche JD, Hardy MP, Vincent K, Courcelles M, Thibault P, Perreault C. 37P Breast cancer immunopeptidomes reveal a large number of targetable tumor antigens. Ann Oncol 2022. [DOI: 10.1016/j.annonc.2022.07.064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
|
5
|
Abstract
Insulin resistance is a component of the pathophysiology of both type 2 diabetes and gestational diabetes mellitus (GDM), but is also characteristic of normal glycemic physiology during pregnancy. In recent years, many studies have tried to understand determinants of insulin resistance in normal pregnancy and GDM, revealing that the placenta is capable of secreting many cytokines and hormones, classically considered as adipokines. More specifically, it appears that leptin and TNFα could be implicated in gestational insulin resistance and GDM pathophysiology. In addition, the maternal metabolic milieu was also identified as a key determinant of later insulin resistance in offspring, a phenomenon often described as 'fetal programming'. This article reviews the established risk factors and the more novel suspected biomarkers involved in maternal insulin resistance during pregnancy as well as the maternal and early life determinants of insulin resistance in offspring later in their life. We are also highlighting recent reports of the potential mechanisms involved in 'programming' of insulin resistance such as epigenetic modulation.
Collapse
Affiliation(s)
- Marilyn Lacroix
- Department of Medicine, Université de Sherbrooke, 3001, 12e ave Nord, Sherbrooke, QC, Canada
| | | | | |
Collapse
|