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Shaw TI, Wagner J, Tian L, Wickman E, Poudel S, Wang J, Paul R, Koo SC, Lu M, Sheppard H, Fan Y, O'Neill FH, Lau CC, Zhou X, Zhang J, Gottschalk S. Discovery of immunotherapy targets for pediatric solid and brain tumors by exon-level expression. Nat Commun 2024; 15:3732. [PMID: 38702309 PMCID: PMC11068777 DOI: 10.1038/s41467-024-47649-y] [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: 11/13/2023] [Accepted: 04/09/2024] [Indexed: 05/06/2024] Open
Abstract
Immunotherapy with chimeric antigen receptor T cells for pediatric solid and brain tumors is constrained by available targetable antigens. Cancer-specific exons present a promising reservoir of targets; however, these have not been explored and validated systematically in a pan-cancer fashion. To identify cancer specific exon targets, here we analyze 1532 RNA-seq datasets from 16 types of pediatric solid and brain tumors for comparison with normal tissues using a newly developed workflow. We find 2933 exons in 157 genes encoding proteins of the surfaceome or matrisome with high cancer specificity either at the gene (n = 148) or the alternatively spliced isoform (n = 9) level. Expression of selected alternatively spliced targets, including the EDB domain of fibronectin 1, and gene targets, such as COL11A1, are validated in pediatric patient derived xenograft tumors. We generate T cells expressing chimeric antigen receptors specific for the EDB domain or COL11A1 and demonstrate that these have antitumor activity. The full target list, explorable via an interactive web portal ( https://cseminer.stjude.org/ ), provides a rich resource for developing immunotherapy of pediatric solid and brain tumors using gene or AS targets with high expression specificity in cancer.
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Affiliation(s)
- Timothy I Shaw
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Department of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, 33612, USA
| | - Jessica Wagner
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Liqing Tian
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Elizabeth Wickman
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
- Graduate School of Biomedical Sciences, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Suresh Poudel
- Center for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Jian Wang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Robin Paul
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Selene C Koo
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Meifen Lu
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Heather Sheppard
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Francis H O'Neill
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA
| | - Ching C Lau
- The Jackson Laboratory for Genomic Medicine, Farmington, CT, 06032, USA
- Connecticut Children's Medical Center, Hartford, CT, 06106, USA
- University of Connecticut School of Medicine, Farmington, CT, 06032, USA
| | - Xin Zhou
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
| | - Stephen Gottschalk
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN, 38105, USA.
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Shaw TI, Wagner J, Tian L, Wickman E, Poudel S, Wang J, Paul R, Koo SC, Lu M, Sheppard H, Fan Y, O’Neil F, Lau CC, Zhou X, Zhang J, Gottschalk S. Discovery of immunotherapy targets for pediatric solid and brain tumors by exon-level expression. RESEARCH SQUARE 2024:rs.3.rs-3821632. [PMID: 38260279 PMCID: PMC10802740 DOI: 10.21203/rs.3.rs-3821632/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Immunotherapy with CAR T cells for pediatric solid and brain tumors is constrained by available targetable antigens. Cancer-specific exons (CSE) present a promising reservoir of targets; however, these have not been explored and validated systematically in a pan-cancer fashion. To identify CSE targets, we analyzed 1,532 RNA-seq datasets from 16 types of pediatric solid and brain tumors for comparison with normal tissues using a newly developed workflow. We found 2,933 exons in 157 genes encoding proteins of the surfaceome or matrisome with high cancer specificity either at the gene (n=148) or the alternatively spliced (AS) isoform (n=9) level. Expression of selected AS targets, including the EDB domain of FN1 (EDB), and gene targets, such as COL11A1, were validated in pediatric PDX tumors. We generated CAR T cells specific to EDB or COL11A1 and demonstrated that COL11A1-CAR T-cells have potent antitumor activity. The full target list, explorable via an interactive web portal (https://cseminer.stjude.org/), provides a rich resource for developing immunotherapy of pediatric solid and brain tumors using gene or AS targets with high expression specificity in cancer.
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Affiliation(s)
- Timothy I Shaw
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jessica Wagner
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Liqing Tian
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Elizabeth Wickman
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
- Graduate School of Biomedical Sciences, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Suresh Poudel
- Center for Proteomics and Metabolomics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jian Wang
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Robin Paul
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Selene C. Koo
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Meifen Lu
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Heather Sheppard
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Yiping Fan
- Center for Applied Bioinformatics, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Francis O’Neil
- The Jackson Laboratory Cancer Center, Farmington, CT, USA
| | - Ching C. Lau
- The Jackson Laboratory Cancer Center, Farmington, CT, USA
| | - Xin Zhou
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Jinghui Zhang
- Department of Computational Biology, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
| | - Stephen Gottschalk
- Department of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children’s Research Hospital, Memphis, TN 38105, USA
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Li X, Zhou J, Zhang W, You W, Wang J, Zhou L, Liu L, Chen WW, Li H. Pan-Cancer Analysis Identifies Tumor Cell Surface Targets for CAR-T Cell Therapies and Antibody Drug Conjugates. Cancers (Basel) 2022; 14:cancers14225674. [PMID: 36428765 PMCID: PMC9688665 DOI: 10.3390/cancers14225674] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 11/11/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Tumor cells can be recognized through tumor surface antigens by immune cells and antibodies, which therefore can be used as drug targets for chimeric antigen receptor-T (CAR-T) therapies and antibody drug conjugates (ADCs). In this study, we aimed to identify novel tumor-specific antigens as targets for more effective and safer CAR-T cell therapies and ADCs. Here, we performed differential expression analysis of pan-cancer data obtained from the Cancer Genome Atlas (TCGA), and then performed a series of conditional screenings including Cox regression analysis, Pearson correlation analysis, and risk-score calculation to find tumor-specific cell membrane genes. A tumor tissue-specific and highly expressed gene set containing 3919 genes from 17 cancer types was obtained. Moreover, the prognostic roles of these genes and the functions of these highly expressed membrane proteins were assessed. Notably, 427, 584, 431 and 578 genes were identified as risk factors for LIHC, KIRC, UCEC, and KIRP, respectively. Functional enrichment analysis indicated that these tumor-specific surface proteins might confer tumor cells the ability to invade and metastasize. Furthermore, correlation analysis displayed that most overexpressed membrane proteins were positively correlated to each other. In addition, 371 target membrane protein-coding genes were sifted out by excluding proteins expressed in normal tissues. Apart from the identification of well-validated genes such as GPC3, MSLN and EGFR in the literature, we further confirmed the differential protein expression of 23 proteins: ADD2, DEF6, DOK3, ENO2, FMNL1, MICALL2, PARVG, PSTPIP1, FERMT1, PLEK2, CD109, GNG4, MAPT, OSBPL3, PLXNA1, ROBO1, SLC16A3, SLC26A6, SRGAP2, and TMEM65 in four types of tumors. In summary, our findings reveal novel tumor-specific antigens, which could be potentially used for next-generation CAR-T cell therapies and ADC discovery.
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Affiliation(s)
- Xinhui Li
- State Key Laboratory of Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Jian Zhou
- Institute of Hepatology, Shenzhen Third People’s Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen 518055, China
| | - Weiwen Zhang
- Department of Gynaecology and Obstetrics, Shenzhen University General Hospital, Shenzhen 518055, China
| | - Wenhua You
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
- Department of Immunology, Key Laboratory of Human Functional Genomics of Jiangsu Province, Gusu School, Nanjing Medical University, Nanjing 211166, China
| | - Jun Wang
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Linlin Zhou
- College of Medical Sciences, Qingdao Binhai University, Qingdao 266555, China
| | - Lei Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, National Clinical Research Center for Infectious Disease, State Key Discipline of Infectious Disease, Shenzhen Third People’s Hospital, Second Hospital Affiliated to Southern University of Science and Technology, Shenzhen 518112, China
| | - Wei-Wei Chen
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, Hong Kong SAR 999077, China
- Correspondence: (W.-W.C.); (H.L.)
| | - Hanjie Li
- CAS Key Laboratory of Quantitative Engineering Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
- Correspondence: (W.-W.C.); (H.L.)
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