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Tumor Neoantigens: from Basic Research to Clinical Applications
Jiang et al. Journal of Hematology & Oncology (2019) 12:93 https://doi.org/10.1186/s13045-019-0787-5 REVIEW Open Access Tumor neoantigens: from basic research to clinical applications Tao Jiang1,4†, Tao Shi2†, Henghui Zhang3†,JieHu1, Yuanlin Song1, Jia Wei2*, Shengxiang Ren4* and Caicun Zhou4* Abstract Tumor neoantigen is the truly foreign protein and entirely absent from normal human organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors (TCRs) in the context of major histocompatibility complexes (MHCs) molecules. Emerging evidence has suggested that neoantigens play a critical role in tumor- specific T cell-mediated antitumor immune response and successful cancer immunotherapies. From a theoretical perspective, neoantigen is an ideal immunotherapy target because they are distinguished from germline and could be recognized as non-self by the host immune system. Neoantigen-based therapeutic personalized vaccines and adoptive T cell transfer have shown promising preliminary results. Furthermore, recent studies suggested the significant role of neoantigen in immune escape, immunoediting, and sensitivity to immune checkpoint inhibitors. In this review, we systematically summarize the recent advances of understanding and identification of tumor- specific neoantigens and its role on current cancer immunotherapies. We also discuss the ongoing development of strategies based on neoantigens and its future clinical applications. Keywords: Neoantigen, Immunotherapy, Immune escape, Immune checkpoint, Resistance Introduction polyomavirus (MCPyV)–related Merkel cell carcinoma Tumor neoantigen, or tumor-specific antigen (TSA), (MCC) and Epstein-Barr virus (EBV)–relatedheadandneck is the repertoire of peptides that displays on the cancers, any epitopes derive from open reading frames tumor cell surface and could be specifically recog- (ORFs) in the viral genome also contribute to the potential nized by neoantigen-specific T cell receptors (TCRs) source of neoantigens [6–8]. -
Targeted Cancer Vaccine Therapy
General Papers Development of Neoantigen - Targeted Cancer Vaccine Therapy YAMASHITA Yoshiko, ONOUE Kousuke, TANAKA Yuki, MALONE Brandon Abstract Cancer immunotherapy is expected to be the fourth cancer therapy after surgery, chemotherapy and radiation treatment. Under this trend, NEC Corporation realizes that the mutation of cancer varies depending on individual patients and has thus proceeded to develop vaccine therapies targeting the tumor-specific antigens (hereinafter “neoantigens”) of each patient as cases of individualized medicine. This paper introduces the technique for iden- tifying the neoantigen that can induce the strongest immune response of each patient based on effective use of genome analysis and AI technologies. Clinical trials of an individualized cancer immunotherapy using the tech- nique introduced here have already been started. Keywords Individualized medicine, cancer immunotherapy, cancer vaccine, neoantigen, AI 1. Introduction Surgical therapy Chemotherapy Cancer therapies can be broadly classified into the fol- lowing three methods: “surgical therapy” that removes cancerous lesions; “chemotherapy” that destroys or re- duces the growth of cancer cells using anticancer drugs and “radiation therapy” that irradiates cancer lesions to destroy the cancer cells. Each of them has advanced through a long history but still presents advantages and disadvantages even at present. In addition to the three therapies, “cancer immunotherapy” has recently Radiation therapy Immunotherapy 4th Pillar been attracting attention as the fourth therapy (Fig. 1). This therapy originally controls the growth and progress Fig. 1 Cancer therapies. of cancer by enhancing the body’s innate immunity to cancer. It is expected to be a treatment that can act throughout the whole body, provide sustained effects 2. -
Evidence-Based Medicine in Oncology: Commercial Versus Patient Benefit
biomedicines Viewpoint Evidence-Based Medicine in Oncology: Commercial Versus Patient Benefit Volker Schirrmacher * , Tobias Sprenger, Wilfried Stuecker and Stefaan W. Van Gool Immune-Oncological Center Cologne (IOZK), D-50674 Cologne, Germany; [email protected] (T.S.); [email protected] (W.S.); [email protected] (S.W.V.G.) * Correspondence: [email protected] Received: 10 June 2020; Accepted: 15 July 2020; Published: 23 July 2020 Abstract: At times of personalized and individualized medicine the concept of randomized- controlled clinical trials (RCTs) is being questioned. This review article explains principles of evidence-based medicine in oncology and shows an example of how evidence can be generated independently from RCTs. Personalized medicine involves molecular analysis of tumor properties and targeted therapy with small molecule inhibitors. Individualized medicine involves the whole patient (tumor and host) in the context of immunotherapy. The example is called Individualized Multimodal Immunotherapy (IMI). It is based on the individuality of immunological tumor–host interactions and on the concept of immunogenic tumor cell death (ICD) induced by an oncolytic virus. The evidence is generated by systematic data collection and analysis. The outcome is then shared with the scientific and medical community. The priority of big pharma studies is commercial benefit. Methods used to achieve this are described and have damaged the image of RCT studies in general. A critical discussion is recommended between all partners of the medical health system with regard to the conduct of RCTs by big pharma companies. Several clinics and institutions in Europe try to become more independent from pharma industry and to develop their own modern cancer therapeutics. -
Do Cancer Vaccines Really Work?
DO CANCER VACCINES REALLY WORK? An Interactive Qualifying Project Report Submitted to the Faculty of WORCESTER POLYTECHNIC INSTITUTE In partial fulfillment of the requirements for the Degree of Bachelor of Science By: Derek Brinkmann Danielle Healy Anthony Kassas Zhuohao Ling IQP-43-DSA-5111 IQP-43-DSA-7932 IQP-43-DSA-8709 IQP-43-DSA-0019 BME & ME BME ChE CS Muhammad Siddiq Isaac Vrooman Eric Williams Zhizhen Wu IQP-43-DSA-3103 IQP-43-DSA-4019 IQP-43-DSA-4086 IQP-43-DSA-3409 ME ChE ME Robotics & CS August 27, 2015 APPROVED: _________________________ Prof. David S. Adams, PhD WPI Project Advisor 1 ABSTRACT The overall goal of this project was to document and evaluate the technology of cancer vaccines, especially the newer more effective versions, to determine whether cancer vaccines are really worth the recent media hype, to document any problems associated with the technique, and to help prioritize future directions. We performed a review of the research literature and conducted interviews with academic cancer researchers. Based on the research performed for this project, our team’s overall conclusion is that, of the six major categories of cancer vaccines, the tumor infiltrating lymphocyte (TIL) and chimeric antigen receptor (CAR) type vaccines have shown the highest efficacies, with some CAR vaccines producing as high as 90% full cancer remissions in medium-sized (30 patient) studies. We identified several directions for moving the field forward, including using combination vaccines (especially with antibodies for immune checkpoint inhibitors), adjuvants, recall antigens (if the vaccine is delivered into the skin), and identifying and using a patient’s own specific tumor neoantigens. -
Pioneering Individualized Cancer Therapies
PLATFORMS Pharmacologically optimized protein coding RNA for targeted in vivo delivery mRNA Technology • Cancer immunotherapies • Prophylactic vaccines • Protein replacement Immunotherapy with genetically engineered T cells, adoptive T cell transfer Cell Therapy • T cell receptor therapies • CAR-T therapies Engineered nanoparticles for cancer immunotherapy • Bispecific antibodies Protein Therapeutics • Microbodies • Virus-like particles Small molecule drug discovery • TLR7-agonists Small Molecules • Immuno-modulating small molecules • Drug discovery services FIRST INDIVIDUALIZED CLINICAL CANCER TRIALS WORLDWIDE WITH • An mRNA-based individualized cancer vaccine targeting neo-antigens • An intravenous formulation of an mRNA vaccine • An mRNA-based individualized vaccine drawn from a warehouse of mRNAs encoding cancer-selective antigens • A genomics-driven GMP-approved manufacturing process for individual patient-specific therapies PIONEERING INDIVIDUALIZED BioNTech SE An der Goldgrube 12 CANCER THERAPIES 55131 Mainz Germany +49 6131 – 9084 – 0 [email protected] www.biontech.de/de COMPANY OVERVIEW INDIVIDUALIZED MRNA IMMUNOLOGY BioNTech is the largest privately held biopharmaceutical company in Europe. CONCEPTS – A BIONTECH PLATFORM We develop truly individualized and patient-tailored treatments against cancer. Our objective is to transform cancer into a manageable and non-lethal disease by BioNTech’s initial product candidates for individualized cancer treatments providing treatments from a suite of therapeutic platforms and offering lifelong are developed using the company’s mRNA technology platform. The IVAC® patient support. We currently have several product candidates in clinical develop- (Individualized Vaccines Against Cancer) platform has enabled the design ment and have established all of the building blocks necessary in an effort to bring of immunotherapies targeting cancer mutations and therefore has the highly potent, tailor-made and individualized cancer therapies to patients. -
Prospects of Individualized Immunotherapy for Pancreatic Cancer
cancers Review Precision Immuno-Oncology: Prospects of Individualized Immunotherapy for Pancreatic Cancer Jiajia Zhang 1,2,3 ID , Christopher L. Wolfgang 1,2,3 and Lei Zheng 1,2,3,* 1 Departments of Oncology and Surgery, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; [email protected] (J.Z.); [email protected] (C.L.W.) 2 Bloomberg-Kimmel Institute for Cancer Immunotherapy, Baltimore, MD 21287, USA 3 Pancreatic Cancer PMCoE Program, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA * Correspondence: [email protected]; Tel.: +1-410-502-6241; Fax: +1-410-614-8216 Received: 14 December 2017; Accepted: 25 January 2018; Published: 30 January 2018 Abstract: Pancreatic cancer, most commonly referring to pancreatic ductal adenocarcinoma (PDAC), remains one of the most deadly diseases, with very few effective therapies available. Emerging as a new modality of modern cancer treatments, immunotherapy has shown promises for various cancer types. Over the past decades, the potential of immunotherapy in eliciting clinical benefits in pancreatic cancer have also been extensively explored. It has been demonstrated in preclinical studies and early phase clinical trials that cancer vaccines were effective in eliciting anti-tumor immune response, but few have led to a significant improvement in survival. Despite the fact that immunotherapy with checkpoint blockade (e.g., anti-cytotoxic T-lymphocyte antigen 4 [CTLA-4] and anti-programmed cell death 1 [PD-1]/PD-L1 antibodies) has shown remarkable and durable responses in various cancer types, the application of checkpoint inhibitors in pancreatic cancer has been disappointing so far. -
Multi-Step Screening of Neoantigens'
www.nature.com/scientificreports OPEN Multi‑step screening of neoantigens’ HLA‑ and TCR‑interfaces improves prediction of survival Guilhem Richard1*, Anne S. De Groot2,3, Gary D. Steinberg4, Tzintzuni I. Garcia5, Alec Kacew5, Matthew Ardito2, William D. Martin2, Gad Berdugo1,6, Michael F. Princiotta1, Arjun V. Balar4 & Randy F. Sweis5* Improvement of risk stratifcation through prognostic biomarkers may enhance the personalization of cancer patient monitoring and treatment. We used Ancer, an immunoinformatic CD8, CD4, and regulatory T cell neoepitope screening system, to perform an advanced neoantigen analysis of genomic data derived from the urothelial cancer cohort of The Cancer Genome Atlas. Ancer demonstrated improved prognostic stratifcation and fve‑year survival prediction compared to standard analyses using tumor mutational burden or neoepitope identifcation using NetMHCpan and NetMHCIIpan. The superiority of Ancer, shown in both univariate and multivariate survival analyses, is attributed to the removal of neoepitopes that do not contribute to tumor immunogenicity based on their homology with self‑epitopes. This analysis suggests that the presence of a higher number of unique, non‑self CD8‑ and CD4‑neoepitopes contributes to cancer survival, and that prospectively defning these neoepitopes using Ancer is a novel prognostic or predictive biomarker. Understanding mechanisms of cancer progression and identifying patients at high risk for recurrence are pivotal to the personalization of cancer care. Improvements in DNA sequencing techniques combined with cost reduc- tions have enabled the routine mapping of the tumor genome and improved our mechanistic understanding of cancer progression and patients’ survival. Tumor mutational burden (TMB) has arisen as a potential cancer prognosis biomarker in numerous tumor types 1,2. -
Identification of the Core Regulators of the HLA I-Peptide Binding Process
www.nature.com/scientificreports OPEN Identification of the core regulators of the HLA I-peptide binding process Received: 01 November 2016 Yu-Hang Zhang1,*, Zhihao Xing1,*, Chenglin Liu2, ShaoPeng Wang3, Tao Huang1, Yu-Dong Cai3 Accepted: 13 January 2017 & Xiangyin Kong1 Published: 17 February 2017 During the display of peptide/human leukocyte antigen (HLA) -I complex for further immune recognition, the cleaved and transported antigenic peptides have to bind to HLA-I protein and the binding affinity between peptide epitopes and HLA proteins directly influences the immune recognition ability in human beings. Key factors affecting the binding affinity during the generation, selection and presentation processes of HLA-I complex have not yet been fully discovered. In this study, a new method describing the HLA class I-peptide interactions was proposed. Three hundred and forty features of HLA I proteins and peptide sequences were utilized for analysis by four candidate algorithms, screening the optimal classifier. Features derived from the optimal classifier were further selected and systematically analyzed, revealing the core regulators. The results validated the hypothesis that features of HLA I proteins and related peptides simultaneously affect the binding process, though with discrepant redundancy. Besides, the high relative ratio (16/20) of the amino acid composition features suggests the unique role of sequence signatures for the binding processes. Integrating biological, evolutionary and chemical features of both HLA I molecules and peptides, this study may provide a new perspective of the underlying mechanisms of HLA I-mediated immune reactions. Human leukocyte antigen (HLA), which refers in particular to the major histocompatibility complex (MHC) in humans, is a group of cell surface proteins that is essential for the recognition of self-cells and non-self-cells and activation of the acquired immune system to eliminate the non-self-components1,2. -
Peptide Libraries for the Comprehensive Coverage of The
von Hoegen et al. Journal for ImmunoTherapy of Cancer 2015, 3(Suppl 2):P265 http://www.immunotherapyofcancer.org/content/3/S2/P265 POSTERPRESENTATION Open Access Peptide libraries for the comprehensive coverage of the tumor mutanome for immune monitoring and immuno therapy Paul von Hoegen1*, Tobias Knaute2, Holger Wenschuh3, Ulf Reimer2 From 30th Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2015) National Harbor, MD, USA. 4-8 November 2015 Many cancers are associated with functional mutations different tumor-specific and ideally functionally relevant which now can be readily identified using new DNA mutations. sequencing methods. Sequence information is now used Our aim is to generate peptide libraries for specific for the generation of personalized cancer vaccines with antigens which represent a generic cancer mutanome promising clinical benefit [1]. Intelligent ways to select applicable to a large number of individual patients based the relevant, tumor-specific protein-coding mutations on available databases as the catalogue of somatic muta- are applied to filter the large number of identified muta- tions in cancer and epitope information from the tion to a manageable number. Besides, there is an immune epitope database and prediction algorithms. increasing data pool of mutations, both germline and One library type can contain the full length sequence somatic, the latter frequently even with attached addi- of the antigen enriched by peptides representing over- tional information on the tissue and histology. lapping scans for relevant mutations. Alternatively, Even though the use of actual sequence of an indivi- known or predicted epitopes can be selected and the dual patient is the optimal basis for treatment and mutated epitopes can be included. -
The Personalized Medicine Report
THE PERSONALIZED MEDICINE REPORT 2017 · Opportunity, Challenges, and the Future The Personalized Medicine Coalition gratefully acknowledges graduate students at Manchester University in North Manchester, Indiana, and at the University of Florida, who updated the appendix of this report under the guidance of David Kisor, Pharm.D., Director, Pharmacogenomics Education, Manchester University, and Stephan Schmidt, Ph.D., Associate Director, Pharmaceutics, University of Florida. The Coalition also acknowledges the contributions of its many members who offered insights and suggestions for the content in the report. CONTENTS INTRODUCTION 5 THE OPPORTUNITY 7 Benefits 9 Scientific Advancement 17 THE CHALLENGES 27 Regulatory Policy 29 Coverage and Payment Policy 35 Clinical Adoption 39 Health Information Technology 45 THE FUTURE 49 Conclusion 51 REFERENCES 53 APPENDIX 57 Selected Personalized Medicine Drugs and Relevant Biomarkers 57 HISTORICAL PRECEDENT For more than two millennia, medicine has maintained its aspiration of being personalized. In ancient times, Hippocrates combined an assessment of the four humors — blood, phlegm, yellow bile, and black bile — to determine the best course of treatment for each patient. Today, the sequence of the four chemical building blocks that comprise DNA, coupled with telltale proteins in the blood, enable more accurate medical predictions. The Personalized Medicine Report 5 INTRODUCTION When it comes to medicine, one size does not fit all. Treatments that help some patients are ineffective for others (Figure 1),1 and the same medicine may cause side effects in only certain patients. Yet, bound by the constructs of traditional disease, and, at the same time, increase the care delivery models, many of today’s doctors still efficiency of the health care system by improving prescribe therapies based on population averages. -
Individualized Medicine: Genetically Fine-Tuning Prevention, Diagnosis, and Treatment of Disease
Developed by the Federation of American Societies for Experimental Biology (FASEB) to educate the general public about the benefits of fundamental biomedical research. INSIDEthis issue Individualized Medicine: Genetically Fine-Tuning Prevention, Diagnosis, and Treatment of Disease In search of the gene 1 On the cutting edge 4 Spelling out the human genome 7 A decade of progress 8 Next generation sequencing 10 The future of individualized medicine 11 Acknowledgments Individualized Medicine: Genetically Fine-Tuning Prevention, Diagnosis, and Treatment of Disease Author, Margie Patlak Scientific Advisor, Howard P. Levy, MD, PhD, Johns Hopkins University Scientific Reviewer, Rex L. Chisholm, PhD, Northwestern University Feinberg School of Medicine BREAKTHROUGHS IN BIOSCIENCE COMMITTEE Paula H. Stern, PhD, Chair, Northwestern University Feinberg School of Medicine Aditi Bhargava, PhD, University of California San Francisco David L. Brautigan, PhD, University of Virginia School of Medicine Blanche Capel, PhD, Duke University Medical Center Rao L. Divi, PhD, National Cancer Institute, National Institutes of Health Marnie Halpern, PhD, Carnegie Institution for Science COVER: Individualized medicine, also known as Tony E. Hugli, PhD, Torrey Pines Institute for Molecular Studies personalized medicine or genomic medicine, is a medical paradigm offering customizable medicine based on one’s Edward R. B. McCabe, MD, PhD, March of Dimes Foundation genes that can be used to prevent, diagnose, and treat disease. Innovations in individualized medicine come from Loraine Oman-Ganes, MD, FRCP(C), CCMG, FACMG, Sun Life technological advances that make it both feasible and affordable to decipher a person’s complete genetic make-up. Financial By exploring answers to basic questions about microbes, cancer, the immune system, and other biological processes, Sharma S. -
Neoepitope Targets of Tumour-Infiltrating Lymphocytes From
www.nature.com/bjc ARTICLE Immunotherapy Neoepitope targets of tumour-infiltrating lymphocytes from patients with pancreatic cancer Qingda Meng1, Davide Valentini1,2, Martin Rao1, Carlos Fernández Moro3, Georgia Paraschoudi1,2, Elke Jäger4, Ernest Dodoo1, Elena Rangelova5, Marco del Chiaro5 and Markus Maeurer1,2,6 BACKGROUND: Pancreatic cancer exhibits a poor prognosis and often presents with metastasis at diagnosis. Immunotherapeutic approaches targeting private cancer mutations (neoantigens) are a clinically viable option to improve clinical outcomes. METHODS: 3/40 TIL lines (PanTT26, PanTT39, PanTT77) were more closely examined for neoantigen recognition. Whole-exome sequencing was performed to identify non-synonymous somatic mutations. Mutant peptides were synthesised and assessed for antigen-specific IFN-γ production and specific tumour killing in a standard Cr51 assay. TIL phenotype was tested by flow cytometry. Lymphocytes and HLA molecules in tumour tissue were visualised by immunohistochemistry. RESULTS: PanTT26 and PanTT39 TILs recognised and killed the autologous tumour cells. PanTT26 TIL recognised the KRASG12v mutation, while a PanTT39 CD4+ TIL clone recognised the neoepitope (GLLRYWRTERLF) from an aquaporin 1-like protein (gene: K7N7A8). Repeated stimulation of TILs with the autologous tumour cells line lead to focused recognition of several mutated targets, based on IFN-γ production. TILs and corresponding PBMCs from PanTT77 showed shared as well as mutually exclusively tumour epitope recognition (TIL-responsive or PBMC-responsive).