1
|
Abstract
Melanoma, a skin cancer that develops from pigment cells, has been studied intensively, particularly in terms of the immune response to tumours, and has been used as a model for the development of immunotherapy. This is due, in part, to the high mutational burden observed in melanomas, which increases both their immunogenicity and the infiltration of immune cells into the tumours, compared with other types of cancers. The immune response to melanomas involves a complex set of components and interactions. As the tumour evolves, it accumulates an increasing number of genetic and epigenetic alterations, some of which contribute to the immunogenicity of the tumour cells and the infiltration of immune cells. However, tumour evolution also enables the development of resistance mechanisms, which, in turn, lead to tumour immune escape. Understanding the interactions between melanoma tumour cells and the immune system, and the evolving changes within the melanoma tumour cells, the immune system and the microenvironment, is essential for the development of new cancer therapies. However, current research suggests that other extrinsic factors, such as the microbiome, may play a role in the immune response to melanomas. Here, we review the mechanisms underlying the immune response in the tumour and discuss recent advances as well as strategies for treatment development.
Collapse
Affiliation(s)
- Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Nagler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
2
|
Peri A, Greenstein E, Alon M, Pai JA, Dingjan T, Reich-Zeliger S, Barnea E, Barbolin C, Levy R, Arnedo-Pac C, Kalaora S, Dassa B, Feldmesser E, Shang P, Greenberg P, Levin Y, Benedek G, Levesque MP, Adams DJ, Lotem M, Wilmott JS, Scolyer RA, Jönsson GB, Admon A, Rosenberg SA, Cohen CJ, Niv MY, Lopez-Bigas N, Satpathy AT, Friedman N, Samuels Y. Combined presentation and immunogenicity analysis reveals a recurrent RAS.Q61K neoantigen in melanoma. J Clin Invest 2021; 131:129466. [PMID: 34651586 DOI: 10.1172/jci129466] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/02/2021] [Indexed: 12/30/2022] Open
Abstract
Neoantigens are now recognized drivers of the antitumor immune response. Recurrent neoantigens, shared among groups of patients, have thus become increasingly coveted therapeutic targets. Here, we report on the data-driven identification of a robustly presented, immunogenic neoantigen that is derived from the combination of HLA-A*01:01 and RAS.Q61K. Analysis of large patient cohorts indicated that this combination applies to 3% of patients with melanoma. Using HLA peptidomics, we were able to demonstrate robust endogenous presentation of the neoantigen in 10 tumor samples. We detected specific reactivity to the mutated peptide within tumor-infiltrating lymphocytes (TILs) from 2 unrelated patients, thus confirming its natural immunogenicity. We further investigated the neoantigen-specific clones and their T cell receptors (TCRs) via a combination of TCR sequencing, TCR overexpression, functional assays, and single-cell transcriptomics. Our analysis revealed a diverse repertoire of neoantigen-specific clones with both intra- and interpatient TCR similarities. Moreover, 1 dominant clone proved to cross-react with the highly prevalent RAS.Q61R variant. Transcriptome analysis revealed a high association of TCR clones with specific T cell phenotypes in response to cognate melanoma, with neoantigen-specific cells showing an activated and dysfunctional phenotype. Identification of recurrent neoantigens and their reactive TCRs can promote "off-the-shelf" precision immunotherapies, alleviating limitations of personalized treatments.
Collapse
Affiliation(s)
| | - Erez Greenstein
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Joy A Pai
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Tamir Dingjan
- The Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | | | - Eilon Barnea
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | | | - Ronen Levy
- Department of Molecular Cell Biology and
| | - Claudia Arnedo-Pac
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | | | - Bareket Dassa
- Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ester Feldmesser
- Bioinformatics Unit, Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ping Shang
- Melanoma Institute Australia and.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | | | - Yishai Levin
- The de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Gil Benedek
- Tissue Typing and Immunogenetics Unit, Hadassah Medical Center, Jerusalem, Israel
| | - Mitchell P Levesque
- Department of Dermatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - David J Adams
- Experimental Cancer Genetics, Wellcome Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Michal Lotem
- Sharett Institute of Oncology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - James S Wilmott
- Melanoma Institute Australia and.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Richard A Scolyer
- Melanoma Institute Australia and.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital and NSW Health Pathology, Sydney, Australia
| | - Göran B Jönsson
- Lund University Cancer Center, Lund University, Lund, Sweden
| | - Arie Admon
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | - Steven A Rosenberg
- Surgery Branch, National Cancer Institute (NCI), NIH, Bethesda, Maryland, USA
| | - Cyrille J Cohen
- Laboratory of Tumor Immunotherapy, The Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel
| | - Masha Y Niv
- The Institute of Biochemistry, Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Nuria Lopez-Bigas
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain.,Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, California, USA
| | - Nir Friedman
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | | |
Collapse
|
3
|
Nagler A, Kalaora S, Barbolin C, Gangaev A, Ketelaars SLC, Alon M, Pai J, Benedek G, Yahalom-Ronen Y, Erez N, Greenberg P, Yagel G, Peri A, Levin Y, Satpathy AT, Bar-Haim E, Paran N, Kvistborg P, Samuels Y. Identification of presented SARS-CoV-2 HLA class I and HLA class II peptides using HLA peptidomics. Cell Rep 2021; 35:109305. [PMID: 34166618 PMCID: PMC8185308 DOI: 10.1016/j.celrep.2021.109305] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 01/17/2021] [Accepted: 06/03/2021] [Indexed: 02/07/2023] Open
Abstract
The human leukocyte antigen (HLA)-bound viral antigens serve as an immunological signature that can be selectively recognized by T cells. As viruses evolve by acquiring mutations, it is essential to identify a range of presented viral antigens. Using HLA peptidomics, we are able to identify severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-derived peptides presented by highly prevalent HLA class I (HLA-I) molecules by using infected cells as well as overexpression of SARS-CoV-2 genes. We find 26 HLA-I peptides and 36 HLA class II (HLA-II) peptides. Among the identified peptides, some are shared between different cells and some are derived from out-of-frame open reading frames (ORFs). Seven of these peptides were previously shown to be immunogenic, and we identify two additional immunoreactive peptides by using HLA multimer staining. These results may aid the development of the next generation of SARS-CoV-2 vaccines based on presented viral-specific antigens that span several of the viral genes.
Collapse
Affiliation(s)
- Adi Nagler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Chaya Barbolin
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Anastasia Gangaev
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, the Netherlands
| | - Steven L C Ketelaars
- Division of Molecular Oncology and Immunology, the Netherlands Cancer Institute, the Netherlands
| | - Michal Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Joy Pai
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gil Benedek
- Tissue Typing and Immunogenetics Unit, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Israel
| | - Yfat Yahalom-Ronen
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness Ziona, Israel
| | - Noam Erez
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness Ziona, Israel
| | - Polina Greenberg
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gal Yagel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Aviyah Peri
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yishai Levin
- The de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | - Ansuman T Satpathy
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Erez Bar-Haim
- Department of Biochemistry and Molecular Genetics, Israel Institute for Biological Research, Ness Ziona, Israel
| | - Nir Paran
- Department of Infectious Diseases, Israel Institute for Biological Research, Ness Ziona, Israel
| | - Pia Kvistborg
- Tissue Typing and Immunogenetics Unit, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Israel
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
4
|
Kalaora S, Nagler A, Nejman D, Alon M, Barbolin C, Barnea E, Ketelaars SLC, Cheng K, Vervier K, Shental N, Bussi Y, Rotkopf R, Levy R, Benedek G, Trabish S, Dadosh T, Levin-Zaidman S, Geller LT, Wang K, Greenberg P, Yagel G, Peri A, Fuks G, Bhardwaj N, Reuben A, Hermida L, Johnson SB, Galloway-Peña JR, Shropshire WC, Bernatchez C, Haymaker C, Arora R, Roitman L, Eilam R, Weinberger A, Lotan-Pompan M, Lotem M, Admon A, Levin Y, Lawley TD, Adams DJ, Levesque MP, Besser MJ, Schachter J, Golani O, Segal E, Geva-Zatorsky N, Ruppin E, Kvistborg P, Peterson SN, Wargo JA, Straussman R, Samuels Y. Identification of bacteria-derived HLA-bound peptides in melanoma. Nature 2021; 592:138-143. [PMID: 33731925 PMCID: PMC9717498 DOI: 10.1038/s41586-021-03368-8] [Citation(s) in RCA: 159] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/17/2021] [Indexed: 01/31/2023]
Abstract
A variety of species of bacteria are known to colonize human tumours1-11, proliferate within them and modulate immune function, which ultimately affects the survival of patients with cancer and their responses to treatment12-14. However, it is not known whether antigens derived from intracellular bacteria are presented by the human leukocyte antigen class I and II (HLA-I and HLA-II, respectively) molecules of tumour cells, or whether such antigens elicit a tumour-infiltrating T cell immune response. Here we used 16S rRNA gene sequencing and HLA peptidomics to identify a peptide repertoire derived from intracellular bacteria that was presented on HLA-I and HLA-II molecules in melanoma tumours. Our analysis of 17 melanoma metastases (derived from 9 patients) revealed 248 and 35 unique HLA-I and HLA-II peptides, respectively, that were derived from 41 species of bacteria. We identified recurrent bacterial peptides in tumours from different patients, as well as in different tumours from the same patient. Our study reveals that peptides derived from intracellular bacteria can be presented by tumour cells and elicit immune reactivity, and thus provides insight into a mechanism by which bacteria influence activation of the immune system and responses to therapy.
Collapse
Affiliation(s)
- Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Nagler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Deborah Nejman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Chaya Barbolin
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Eilon Barnea
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | - Steven L C Ketelaars
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Kuoyuan Cheng
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | | | - Noam Shental
- Department of Mathematics and Computer Science, Open University of Israel, Raanana, Israel
| | - Yuval Bussi
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Ron Rotkopf
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gil Benedek
- Tissue Typing and Immunogenetics Unit, Hadassah Medical Center, Jerusalem, Israel
| | - Sophie Trabish
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Tali Dadosh
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Smadar Levin-Zaidman
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Leore T Geller
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Kun Wang
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Polina Greenberg
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Gal Yagel
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Aviyah Peri
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Garold Fuks
- Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
| | - Neerupma Bhardwaj
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
| | - Alexandre Reuben
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Leandro Hermida
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Sarah B Johnson
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | | | - Chantale Bernatchez
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cara Haymaker
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Reetakshi Arora
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lior Roitman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Raya Eilam
- Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Adina Weinberger
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Maya Lotan-Pompan
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Michal Lotem
- Sharett Institute of Oncology, Hadassah Hebrew University Medical Center, Jerusalem, Israel
| | - Arie Admon
- Department of Biology, Technion - Israel Institute of Technology, Haifa, Israel
| | - Yishai Levin
- The de Botton Institute for Protein Profiling, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Mitchell P Levesque
- Faculty of Medicine, University of Zurich Hospital, University of Zurich, Zurich, Switzerland
| | - Michal J Besser
- The Ella Lemelbaum Institute for Immuno Oncology and Melanoma, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jacob Schachter
- The Ella Lemelbaum Institute for Immuno Oncology and Melanoma, Chaim Sheba Medical Center, Tel Hashomer, Israel
- Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Eran Segal
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
- Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
| | - Naama Geva-Zatorsky
- The Ruth and Bruce Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel
- MaRS Centre, Canadian Institute for Advanced Research (CIFAR) Azrieli Global Scholar, Toronto, Ontario, Canada
| | - Eytan Ruppin
- Cancer Data Science Laboratory (CDSL), National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD, USA
| | - Pia Kvistborg
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Scott N Peterson
- Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Jennifer A Wargo
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ravid Straussman
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
5
|
Nagler A, Vredevoogd DW, Alon M, Cheng PF, Trabish S, Kalaora S, Arafeh R, Goldin V, Levesque MP, Peeper DS, Samuels Y. A genome-wide CRISPR screen identifies FBXO42 involvement in resistance toward MEK inhibition in NRAS-mutant melanoma. Pigment Cell Melanoma Res 2019; 33:334-344. [PMID: 31549767 PMCID: PMC7383499 DOI: 10.1111/pcmr.12825] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2019] [Revised: 09/16/2019] [Accepted: 09/18/2019] [Indexed: 12/22/2022]
Abstract
NRAS mutations are the most common alterations among RAS isoforms in cutaneous melanoma, with patients harboring these aggressive tumors having a poor prognosis and low survival rate. The main line of treatment for these patients is MAPK pathway‐targeted therapies, such as MEK inhibitors, but, unfortunately, the response to these inhibitors is variable due to tumor resistance. Identifying genetic modifiers involved in resistance toward MEK‐targeted therapy may assist in the development of new therapeutic strategies, enhancing treatment response and patient survival. Our whole‐genome CRISPR‐Cas9 knockout screen identified the target Kelch domain‐containing F‐Box protein 42 (FBXO42) as a factor involved in NRAS‐mutant melanoma‐acquired resistance to the MEK1/2 inhibitor trametinib. We further show that FBXO42, an E3 ubiquitin ligase, is involved in the TAK1 signaling pathway, possibly prompting an increase in active P38. In addition, we demonstrate that combining trametinib with the TAK1 inhibitor, takinib, is a far more efficient treatment than trametinib alone in NRAS‐mutant melanoma cells. Our findings thus show a new pathway involved in NRAS‐mutant melanoma resistance and provide new opportunities for novel therapeutic options.
Collapse
Affiliation(s)
- Adi Nagler
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - David W Vredevoogd
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Michal Alon
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Phil F Cheng
- Department of Dermatology, University of Zurich Hospital, Zurich, Switzerland
| | - Sophie Trabish
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Rand Arafeh
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Victoria Goldin
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Mitchell P Levesque
- Department of Dermatology, University of Zurich Hospital, Zurich, Switzerland
| | - Daniel S Peeper
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
6
|
Alon M, Arafeh R, Lee JS, Madan S, Kalaora S, Nagler A, Abgarian T, Greenberg P, Ruppin E, Samuels Y. Correction: CAPN1 is a novel binding partner and regulator of the tumor suppressor NF1 in melanoma. Oncotarget 2019; 10:1344. [PMID: 30863494 PMCID: PMC6407687 DOI: 10.18632/oncotarget.26685] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
[This corrects the article DOI: 10.18632/oncotarget.25805.].
Collapse
Affiliation(s)
- Michal Alon
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Rand Arafeh
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Joo Sang Lee
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA.,Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Sanna Madan
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA.,Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Shelly Kalaora
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Nagler
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Tereza Abgarian
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Polina Greenberg
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Eytan Ruppin
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA.,Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Yardena Samuels
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
7
|
Abstract
Neo-antigens expressed on tumors are targets for development of cancer immunotherapy strategies. Use of prediction algorithms to identify neo-antigens yields a significant number of peptides that must be validated in laborious and time-consuming methods; many prove to be false-positive identifications. The use of HLA peptidomics allows the isolation of the HLA-peptide complexes directly from cells and can be done on fresh tumor, patient-derived xerographs, or cell lines when the tissue sample is limited. This method can be used to identify both HLA class I and HLA class II or any different MHC from different species. Here we describe the steps to create the immune-affinity columns used from the process, the immunoprecipitation procedure, and also the isolation of the peptides that will be analyzed by mass spectrometry.
Collapse
Affiliation(s)
- Shelly Kalaora
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Yardena Samuels
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
8
|
Kalaora S, Wolf Y, Feferman T, Barnea E, Greenstein E, Reshef D, Tirosh I, Reuben A, Patkar S, Levy R, Quinkhardt J, Omokoko T, Qutob N, Golani O, Zhang J, Mao X, Song X, Bernatchez C, Haymaker C, Forget MA, Creasy C, Greenberg P, Carter BW, Cooper ZA, Rosenberg SA, Lotem M, Sahin U, Shakhar G, Ruppin E, Wargo JA, Friedman N, Admon A, Samuels Y. Combined Analysis of Antigen Presentation and T-cell Recognition Reveals Restricted Immune Responses in Melanoma. Cancer Discov 2018; 8:1366-1375. [PMID: 30209080 DOI: 10.1158/2159-8290.cd-17-1418] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2017] [Revised: 02/26/2018] [Accepted: 08/16/2018] [Indexed: 12/21/2022]
Abstract
The quest for tumor-associated antigens (TAA) and neoantigens is a major focus of cancer immunotherapy. Here, we combine a neoantigen prediction pipeline and human leukocyte antigen (HLA) peptidomics to identify TAAs and neoantigens in 16 tumors derived from seven patients with melanoma and characterize their interactions with their tumor-infiltrating lymphocytes (TIL). Our investigation of the antigenic and T-cell landscapes encompassing the TAA and neoantigen signatures, their immune reactivity, and their corresponding T-cell identities provides the first comprehensive analysis of cancer cell T-cell cosignatures, allowing us to discover remarkable antigenic and TIL similarities between metastases from the same patient. Furthermore, we reveal that two neoantigen-specific clonotypes killed 90% of autologous melanoma cells, both in vitro and in vivo, showing that a limited set of neoantigen-specific T cells may play a central role in melanoma tumor rejection. Our findings indicate that combining HLA peptidomics with neoantigen predictions allows robust identification of targetable neoantigens, which could successfully guide personalized cancer immunotherapies.Significance: As neoantigen targeting is becoming more established as a powerful therapeutic approach, investigating these molecules has taken center stage. Here, we show that a limited set of neoantigen-specific T cells mediates tumor rejection, suggesting that identifying just a few antigens and their corresponding T-cell clones could guide personalized immunotherapy. Cancer Discov; 8(11); 1366-75. ©2018 AACR. This article is highlighted in the In This Issue feature, p. 1333.
Collapse
Affiliation(s)
- Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Yochai Wolf
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Tali Feferman
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Erez Greenstein
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Dan Reshef
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Itay Tirosh
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Alexandre Reuben
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Sushant Patkar
- Cancer Data Science Lab, National Cancer Institute, NIH, Rockville, Maryland
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | - Tana Omokoko
- BioNTech Cell & Gene Therapies GmbH, Mainz, Germany
| | - Nouar Qutob
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Ofra Golani
- Department of Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Jianhua Zhang
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xizeng Mao
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xingzhi Song
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chantale Bernatchez
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Cara Haymaker
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Marie-Andrée Forget
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Caitlin Creasy
- Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Polina Greenberg
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Brett W Carter
- Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Zachary A Cooper
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Michal Lotem
- Sharett Institute of Oncology, Hadassah Medical School, Jerusalem, Israel
| | - Ugur Sahin
- TRON-Translational Oncology at the University Medical Center of Johannes Gutenberg University GmbH, Mainz, Germany
| | - Guy Shakhar
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Eytan Ruppin
- Cancer Data Science Lab, National Cancer Institute, NIH, Rockville, Maryland
| | - Jennifer A Wargo
- Departments of Surgical Oncology and Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Nir Friedman
- Department of Immunology, Weizmann Institute of Science, Rehovot, Israel
| | - Arie Admon
- Department of Biology, Technion, Haifa, Israel
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
| |
Collapse
|
9
|
Lee JS, Adler L, Karathia H, Carmel N, Rabinovich S, Auslander N, Keshet R, Stettner N, Silberman A, Agemy L, Helbling D, Eilam R, Sun Q, Brandis A, Malitsky S, Itkin M, Weiss H, Pinto S, Kalaora S, Levy R, Barnea E, Admon A, Dimmock D, Stern-Ginossar N, Scherz A, Nagamani SCS, Unda M, Wilson DM, Elhasid R, Carracedo A, Samuels Y, Hannenhalli S, Ruppin E, Erez A. Urea Cycle Dysregulation Generates Clinically Relevant Genomic and Biochemical Signatures. Cell 2018; 174:1559-1570.e22. [PMID: 30100185 DOI: 10.1016/j.cell.2018.07.019] [Citation(s) in RCA: 169] [Impact Index Per Article: 28.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2018] [Revised: 05/21/2018] [Accepted: 07/12/2018] [Indexed: 01/02/2023]
Abstract
The urea cycle (UC) is the main pathway by which mammals dispose of waste nitrogen. We find that specific alterations in the expression of most UC enzymes occur in many tumors, leading to a general metabolic hallmark termed "UC dysregulation" (UCD). UCD elicits nitrogen diversion toward carbamoyl-phosphate synthetase2, aspartate transcarbamylase, and dihydrooratase (CAD) activation and enhances pyrimidine synthesis, resulting in detectable changes in nitrogen metabolites in both patient tumors and their bio-fluids. The accompanying excess of pyrimidine versus purine nucleotides results in a genomic signature consisting of transversion mutations at the DNA, RNA, and protein levels. This mutational bias is associated with increased numbers of hydrophobic tumor antigens and a better response to immune checkpoint inhibitors independent of mutational load. Taken together, our findings demonstrate that UCD is a common feature of tumors that profoundly affects carcinogenesis, mutagenesis, and immunotherapy response.
Collapse
Affiliation(s)
- Joo Sang Lee
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD 20742, USA
| | - Lital Adler
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Hiren Karathia
- Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD 20742, USA
| | - Narin Carmel
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Shiran Rabinovich
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Noam Auslander
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD 20742, USA
| | - Rom Keshet
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Noa Stettner
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel; Department of Veterinary Resources, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Alon Silberman
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Lilach Agemy
- Department of Plant and Environmental Science, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | | | - Raya Eilam
- Department of Veterinary Resources, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Qin Sun
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alexander Brandis
- Life Sciences Core Facilities, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Sergey Malitsky
- Life Sciences Core Facilities, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Maxim Itkin
- Life Sciences Core Facilities, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Hila Weiss
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Sivan Pinto
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Shelly Kalaora
- Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Ronen Levy
- Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Eilon Barnea
- Faculty of Biology, Technion - Israel Institute of Technology, 3200003 Haifa, Israel
| | - Arie Admon
- Faculty of Biology, Technion - Israel Institute of Technology, 3200003 Haifa, Israel
| | - David Dimmock
- Rady Children's Institute for Genomic Medicine, San Diego, CA 92123, USA
| | - Noam Stern-Ginossar
- Department of Molecular Genetics, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Avigdor Scherz
- Department of Veterinary Resources, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Sandesh C S Nagamani
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA; Texas Children's Hospital, Houston, TX 77030, USA
| | - Miguel Unda
- Department of Urology, Basurto University Hospital, 48013 Bilbao, Spain; CIBERONC, Madrid, Spain
| | - David M Wilson
- Laboratory of Molecular Gerontology, National Institute on Aging, Intramural Research Program, NIH, 251 Bayview Blvd., Baltimore, MD 21224, USA
| | - Ronit Elhasid
- Sackler Faculty of Medicine, Department of Pediatric Hemato Oncology, Sourasky Medical Center, Tel Aviv University, 6997801 Tel Aviv, Israel
| | - Arkaitz Carracedo
- CIBERONC, Madrid, Spain; CIC bioGUNE, Bizkaia Technology Park, 801 Building, 48160 Derio, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain; Biochemistry and Molecular Biology Department, University of the Basque Country (UPV/EHU), Bilbao, Spain
| | - Yardena Samuels
- Department of Molecular Cell Biology, Weizmann Institute of Science, 7610001 Rehovot, Israel
| | - Sridhar Hannenhalli
- Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD 20742, USA
| | - Eytan Ruppin
- Cancer Data Science Lab, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA; Center for Bioinformatics and Computational Biology, University of Maryland Institute for Advanced Computer Studies, Department of Computer Science, University of Maryland, College Park, MD 20742, USA; Schools of Medicine and Computer Science, Tel Aviv University, 6997801 Tel Aviv, Israel.
| | - Ayelet Erez
- Department of Biological Regulation, Weizmann Institute of Science, 7610001 Rehovot, Israel.
| |
Collapse
|
10
|
Alon M, Arafeh R, Lee JS, Madan S, Kalaora S, Nagler A, Abgarian T, Greenberg P, Ruppin E, Samuels Y. CAPN1 is a novel binding partner and regulator of the tumor suppressor NF1 in melanoma. Oncotarget 2018; 9:31264-31277. [PMID: 30131853 PMCID: PMC6101293 DOI: 10.18632/oncotarget.25805] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 07/05/2018] [Indexed: 11/25/2022] Open
Abstract
Neurofibromin 1 (NF1), a tumor suppressor that negatively regulates RAS through its GTPase activity, is highly mutated in various types of sporadic human cancers, including melanoma. However, the binding partners of NF1 and the pathways in which it is involved in melanoma have not been characterized in an in depth manner. Utilizing a mass spectrometry analysis of NF1 binding partners, we revealed Calpain1 (CAPN1), a calcium-dependent neutral cysteine protease, as a novel NF1 binding partner that regulates NF1 degradation in melanoma cells. ShRNA-mediated knockdown of CAPN1 or treatment with a CAPN1 inhibitor stabilizes NF1 protein levels, downregulates AKT signaling and melanoma cell growth. Combination treatment of Calpain inhibitor I with MEKi Trametinib in different melanoma cells is more effective in reducing melanoma cell growth compared to treatment with Trametinib alone, suggesting that this combination may have a therapeutic potential in melanoma. This novel mechanism for regulating NF1 in melanoma provides a molecular basis for targeting CAPN1 in order to stabilize NF1 levels and, in doing so, suppressing Ras activation; this mechanism can be exploited therapeutically in melanoma and other cancers.
Collapse
Affiliation(s)
- Michal Alon
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Rand Arafeh
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Joo Sang Lee
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA
- Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Sanna Madan
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA
- Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Shelly Kalaora
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Nagler
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Tereza Abgarian
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Polina Greenberg
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| | - Eytan Ruppin
- Center for Bioinformatics and Computational Biology, The University of Maryland, College Park, Maryland, USA
- Cancer Data Science Lab, National Cancer Institute, National Institute of Health, Bethesda, Maryland, USA
| | - Yardena Samuels
- Molecular Cell Biology Department, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
11
|
Kalaora S, Wolf Y, Reuben A, Rosenberg S, Lotem M, Sahin U, Wargo J, Friedman N, Admon A, Samuels Y. 24 Combined analysis of antigen presentation and T cell recognition reveals restricted immune responses in melanoma. ESMO Open 2018. [DOI: 10.1136/esmoopen-2018-eacr25.24] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
|