CANCER IMMUNOTHERAPY: A REVIEW

Similar documents
New Developments in Cancer Treatment. Dulcinea Quintana, MD

Where do these cells come from?

New Oncology Drugs: Nadeem Ikhlaque, M.D Subtitle Would Go Here

Immune Checkpoint Inhibitors: The New Breakout Stars in Cancer Treatment

CANCER 1.7 M 609,000 26% 15.5 M 73% JUST THE FACTS. More Than 1,100 Cancer Treatments in Clinical Testing Offer Hope to Patients

Targeting Oncogenic Drivers

IMMUNOTHERAPY FOR LUNG CANCER

Tumor Immunity and Immunotherapy. Andrew Lichtman M.D., Ph.D. Brigham and Women s Hospital Harvard Medical School

Immunotherapy Overview, Rationale, and Role in Clinical Practice

Bihong Zhao, M.D, Ph.D Department of Pathology

Tumor responses (patients responding/ patients treated)

Cancer Immunotherapy Survey

Tumor Immunology: A Primer

Emerging Targets in Immunotherapy

IMMUNOTHERAPY FOR CANCER A NEW HORIZON. Ekaterini Boleti MD, PhD, FRCP Consultant in Medical Oncology Royal Free London NHS Foundation Trust

MAKING PROGRESS AGAINST CANCER

Professor Mark Bower Chelsea and Westminster Hospital, London

H&HD ANTINEOPLASTIC DRUG CARD ASSEMBLY INSTRUCTIONS

My name is Dr. David Ilson, Professor of Medicine at Memorial Sloan Kettering Cancer Center and Weill Cornell Medical Center in New York, New York.

ICLIO National Conference

Cancer: Can we Afford the Cure? Current Trends in Oncology Treatment

New Developments in Cancer Treatment. Ian Rabinowitz MD

GENETICALLY ENHANCED CANCER THERAPIES

ENDOCRINE ADVERSE EVENTS ASSOCIATED WITH CHECKPOINT IMMUNOTHERAPY

SUPPLEMENTARY INFORMATION

Index. neurosurgery.theclinics.com. Note: Page numbers of article titles are in boldface type.

Immuno-Oncology Applications

Immunotherapie: algemene principes

Introduction to Targeted Therapy

BASIC MECHANISM OF TUMOR IMMUNE SUPPRESSION

Commissioning policies agreed by PCTs in Yorkshire and the Humber at Board meeting of YH SCG on December

Basic Principles of Tumor Immunotherapy and Mechanisms of Tumor Immune Suppression. Bryon Johnson, PhD

International Course on Theranostics and Molecular Radiotherapy ImmunoPET in Breast Cancer

Exploring Immunotherapies: Beyond Checkpoint Inhibitors

immunotherapy a guide for the patient

Policy. Medical Policy Manual Approved Revised: Do Not Implement until 6/30/2019. Nivolumab

2018 KSMO Immune Oncology Forum. Immune checkpoint inhibitors in hematologic. malignancies: evidences and perspectives 서울아산병원종양내과 홍정용

Index. Note: Page numbers of article titles are in boldface type.

What Is Cancer Immunotherapy?

Objectives. Briefly summarize the current state of colorectal cancer

CPT Service Description Effective Date

Policy. Medical Policy Manual Approved Revised: Do Not Implement Until 3/2/19. Nivolumab (Intravenous)

Nobel Prize in Physiology or Medicine 2018

Checkpoint Regulators Cancer Immunotherapy takes centre stage. Dr Oliver Klein Department of Medical Oncology 02 May 2015

Paediatric strategy forum for medicinal product development of checkpoint inhibitors for use in combination therapy in paediatric patients

THE FUTURE OF IMMUNOTHERAPY IN COLORECTAL CANCER. Prof. Dr. Hans Prenen, MD, PhD Oncology Department University Hospital Antwerp, Belgium

Immune checkpoint inhibitors in Hodgkin and non-hodgkin Lymphoma: How do they work? Where will we use them? Stephen M. Ansell, MD, PhD Mayo Clinic

(generic name: ipilimumab) Injection 50 mg ( Yervoy ), a human anti-human CTLA-4 monoclonal. August 21, 2018

IMMUNE CHECKPOINT THERAPY FOR GENITOURINARY CANCERS: KIDNEY CANCER AND TRANSITIONAL CELL CARCINOMA

Combining ADCs with Immuno-Oncology Agents

Priming the Immune System to Kill Cancer and Reverse Tolerance. Dr. Diwakar Davar Assistant Professor, Melanoma and Phase I Therapeutics

Clinical Policy: Nivolumab (Opdivo) Reference Number: CP.PHAR.121

Biological Therapies for Cancer: Questions and Answers

Focus on Immunotherapy as a Targeted Therapy. Brad Nelson, PhD BC Cancer, Victoria, Canada FPON, Oct

Histology independent indications in Oncology

INJECTION, INOTUZUMAB OZOGAMICIN, 0.1 MG [BESPONSA ] [C CODES FOR FACILITY USE ONLY]

Drug-targeted therapies and Predictive Prognosis: Changing Role for the Pathologist

Novel RCC Targets from Immuno-Oncology and Antibody-Drug Conjugates

Engineered Immune Cells for Cancer Therapy : Current Status and Prospects

Immuno-Oncology Clinical Trials Update: Checkpoint Inhibitors Others (not Anti-PD-L1/PD-1) Issue 4 January 2017

Biomarkers in Imunotherapy: RNA Signatures as predictive biomarker

5% of patients with genetic immunodeficiency develop a cancer during their lifetime (200x)

Immunotherapy and Targeted Therapies: The new face of cancer treatment

Immunotherapy in Colorectal cancer

Immunotherapy Facts. Highlights

Immune surveillance hypothesis (Macfarlane Burnet, 1950s)

Harnessing the Immune System to Prevent Cancer: Basic Immunologic Mechanisms

New Developments in the Treatment of Colorectal Cancer. Jonathan Loree, MD, MS, FRCPC Department of Medical Oncology BC Cancer Vancouver Centre

Genomics Up Close And Personal: What Are The Implications For Cancer Nursing? Candy Cooley Head of Education

Targeted Cancer Therapies

Lecture 8: Antibodies & Antibody Conjugates - targeted cell killing agents

Cancer immunity and immunotherapy. General principles

I farmaci immunoterapici. Stefano Fogli UO Farmacologia Clinica e Farmacogenetica Dipartimento di Medicina Clinica e Sperimentale Università di Pisa

CANCER IMMUNOTHERAPY. Cancer Research Center, Dpt. of Medicine & Service of Cytometry University of Salamanca. IBSAL

BIT 120. Copy of Cancer/HIV Lecture

Immunotherapy. Professor Nicola Stoner Consultant Cancer Pharmacist ASPCP Birmingham 15 th November 2018

Adaptive immunity in cancer immunology and therapeutics

Renal Cell Carcinoma: Systemic Therapy Progress and Promise

Mariano Provencio Servicio de Oncología Médica Hospital Universitario Puerta de Hierro. Immune checkpoint inhibition in DLBCL

Immunotherapy and Lung Cancer

Cancer Immunotherapy: Exploring the Role of Novel Agents in Cancer Treatment

Checkpoint Inhibition in Hodgkin s Lymphoma John Kuruvilla, MD & Rob Laister, PhD

ACTR (Antibody Coupled T-cell Receptor): A universal approach to T-cell therapy

Cancer Immunotherapy: Exploring the Role of Novel Agents in Cancer Treatment

AGRESSIVE LYMPHOMAS - FUTURE. Dr Stéphane Doucet CHUM

Post-ASCO Immunotherapy Highlights (Part 2): Biomarkers for Immunotherapy

Targeted and immunotherapy in RCC

COURSE: Medical Microbiology, PAMB 650/720 - Fall 2008 Lecture 16

Opdivo. Opdivo (nivolumab) Description

Use of Single-Arm Cohorts/Trials to Demonstrate Clinical Benefit for Breakthrough Therapies. Eric H. Rubin, MD Merck Research Laboratories

THE ROLE OF TARGETED THERAPY AND IMMUNOTHERAPY IN THE TREATMENT OF ADVANCED CERVIX CANCER

Radiation Therapy and Immunotherapy: New Frontiers

Trial no. Status Phase Treatment Pre-conditioning Primary endpoints Secondary endpoints Diagnosis Sponsor

Immuno-Oncology Therapies and Precision Medicine: Personal Tumor-Specific Neoantigen Prediction by Machine Learning

Durable Response Rate in High Grade Glioma: an Emerging Endpoint for Immunotherapeutics. Timothy Cloughesy, MD University of California, Los Angeles

Keytruda. Keytruda (pembrolizumab) Description

6/22/2017 TARGETING THE TARGETS IN 2017 TARGETING THE TARGETS IN 2017

Understanding Checkpoint Inhibitors: Approved Agents, Drugs in Development and Combination Strategies. Michael A. Curran, Ph.D.

Tumor immunotherapy: new aspects of natural killer cells

Transcription:

SUMMARY CANCER IMMUNOTHERAPY: A REVIEW Nguyen Thi Kim Tran 1 ; Nguyen Thanh Minh 2 ; Jake Chen 2 The Nobel Prize in Physiology or Medicine signifies that cancer immunotherapy is becoming the most promising direction in cancer research. In this paper, we review the different mechanisms of the human immune system in inhibiting cancer grow and the possible loopholes allowing the cancer cell to evade the immune system response. Understanding these mechanisms allows designing many different strategies to treat cancer using the patient s immune system as the major fighting force. We would also review the most recent clinical trials in cancer immunotherapy and briefly explain the remaining challenges on applying cancer immunotherapy in larger scale. * Key words: Cancer immunotherapy. INTRODUCTION The idea of cancer immunotherapy started at the beginning of the 20 th century; however, cancer immunotherapy has been a research interest for only 20 years. This is due to the rapid development of molecular biology, genetics, and the decreasing cost of sequencing. Molecular biology helps discovering many mechanisms of immune respond and the signaling pathways triggering these responses. Genetics allows finding different variation of genes participating in these signaling pathways and identifying which type of variation may help the tumor progression. Certainly, these fields could not progress without lowering the cost of sequencing, which allows studying the cancer patients genome in larger scale. The most significant benefit of cancer immunotherapy is that this strategy uses the patient s natural capability of immune respond as the major fighting force against cancer. Therefore, it is expected to cause the least side-effects or damage on the patient, as showed in [1]. However, it could be among the hardest treatments to design. At this point, we may expect that more than 60% of the cancer patients do not respond well with cancer immunotherapy. One example for this issue is described in [2], which is partially belong to the contribution leading to the Nobel Prize in Physiology or Medicine in 2018. Therefore, in this paper, we review the different mechanisms of the human immune system in inhibiting cancer grow and the possible loopholes allowing the cancer cell to evade the immune system response. 1 School of Medicine, the University of Alabama at Birmingham 2 Informatics Institute, School of Medicine, the University of Alabama at Birmingham Corresponding author: Nguyen Thanh Minh (thamnguy@uab.edu) Date received: 20/10/2018 Date accepted: 04/12/2018 18

Understanding these mechanisms allows designing many different strategies to treat cancer using the patient s immune system as the major fighting force. In addition, we review the most recent clinical trials in cancer immunotherapy and briefly explain the remaining challenges on applying cancer immunotherapy in larger scale. We would also describe the latest effort in cancer immunotherapy research at the University of Alabama at Birmingham and the prospect of Bioinformatics to actively serve in this field. THE IMPACTS OF THE IMMUNE SYSTEM ON THE DEVELOPMENT OF CANCER The human immune system could restrict the grow of cancer; but it could also create favorable condition for the cancer cell to grow [3]. At some extend, understanding this ambiguity is similar to knowing the fact that the human immune system, especially the T-cells, is capable to kill most of the cells, including the normal cells, in the human body. The reason why our normal cells safely grow is largely because of not triggering the T- cell killer mechanism. Similarly, there exist mechanism allowing the T-cell to recognize the cancer cell and trigger the killing response. However, the cancer cells also have the capability to evade or inhibit this response. A well-known mechanism of how the T-cell activates the response mechanism could be seen in figure 1 [2]. Here, we can see two scenarios reducing the survivability of the T-cell. First, on the membrane of the T-cell, the two proteins CD28 and CTLA-4 competes with each other by binding to the antigens from other (including cancer) cells. CD28 sends the positive signal inside the T-cell, which helps maintaining the T-cell; meanwhile, CTLA-4 sends the negative signal, which helps triggering the T-cell apoptosis. Therefore, the T-cell may not be able to activate the killing process on cancer cell when CTLA-4 becomes abundant, or CD28 is lacking. Second, the cancer cell surface has MHC proteins, which is among one way for the T-cell to recognize the foreign substance and trigger the killing process. However, as the T-cell is activating the killing process, it produces cytokine. The cancer cell use cytokine to increase the functionality of PD-L1 protein. This protein binds to PD-1 protein on the T-cell membrane, which trigger the signal telling the T-cell to reduce cytokine and perform apoptosis. In addition, the immune system could lose the capacity to inhibit the cancer cell due to other factors. First, there are evidences that chronic inflammation may lead to genetic instability and the degradation of the T-cell, which are the factors favoring the tumor cell growth [4]. It is hypothesized that due to long-time fighting the inflammation, the number of T-cells capable of inhibiting cancer cell would reduce; meanwhile the number of T-cells helping cancer may increase. Second, the cancer cell, similar to the other normal cells, is able to produce that transforming growth factor (TGF)-β. TGFβ triggers the mechanism to convert the killer T-cell to regulatory T-cell, which basically does not perform the killing functionalities [5]. This mechanism is well- 19

known in preventing autoimmune disease. Third, the cancer cell surviving from the initial T-cell elimination is able to downregulate the production of MHC, which is the key antigen allowing the T-cell to recognize the cancer cell as foreigner. 20 Figure 1 (recited from [2]): Two break-points reducing the survivability of T-cell. STRATEGIES OF CANCER IMMUNOTHERAPY From what we have been understanding about how the immune system reacts to cancer, there have been many strategies of cancer immunotherapy. From the mechanism point of view, we can categorize these strategies as follow. For each strategy, there is a certain extend to apply the Informatics techniques to enhance the discovery of new and more effective treatment.

1. Monoclonal antibody. Table 1: Journal of military pharmaco-medicine n o 1-2019 Antibody Antigen Cancer disease Rituximab B-lymphocyte antigen (CD20) Non-Hodgkin lymphoma, chronic lymphocytic leukemia Trastuzumab Gemtuzumab ozogamicin Receptor tyrosine-protein kinase (ERBB2) Sialic acid binding Ig-like lectin 3 (CD33) Breast cancer, metastatic stomach cancer Acute myeloid leukemia Alemtuzumab CAMPATH-1 antigen (CD52) Chronic lymphocytic leukemia, cutaneous T-cell lymphoma, T-cell lymphoma Ibritumomab tiuxetan B-lymphocyte antigen (CD20) Non-Hodgkin's lymphoma Cetuximab Bevacizumab Panitumumab Epidermal growth factor receptor (EGFR) Vascular endothelial growth factor A (VEGFA) Epidermal growth factor receptor (EGFR) Metastatic colorectal cancer, metastatic non-small cell lung cancer, head and neck cancer Metastatic colorectal cancer, HER2- negative metastatic breast cancer. Metastatic colorectal carcinoma Ofatumumab B-lymphocyte antigen (CD20) Chronic lymphocytic leukemia Ipilimumab Brentuximab vedotin Pertuzumab Trastuzumab emtansine Cytotoxic T-lymphocyte-associated protein 4 (CTLA4) Tumor necrosis factor receptor superfamily member 8 (CD30) Receptor tyrosine-protein kinase (ERBB2) Receptor tyrosine-protein kinase (ERBB2) Metastatic melanoma, cutaneous melanoma, renal cell carcinoma, metastatic colorectal cancer Classical Hodgkin lymphoma, refractory Hodgkin lymphoma HER2-positive metastatic breast cancer HER2-positive metastatic breast cancer Obinutuzumab B-lymphocyte antigen (CD20) Chronic lymphocytic leukemia Ramucirumab Kinase insert domain receptor (KDR) Gastric or gastro-esophageal junction adenocarcinoma Tositumomab B-lymphocyte antigen (CD20) Non-Hodgkin's lymphoma Dinutuximab Ganglioside GD2 Neuroblastoma Daratumumab Cyclic ADP ribose hydrolase (CD38) Multiple myeloma Necitumumab Epidermal growth factor receptor (EGFR) Metastatic squamous non-small cell lung cancer Elotuzumab SLAM family member 7 (SLAM7) Multiple myeloma 21

This strategy, which is very popular in vaccine design, finds the antigens presented on the cancer cell surface and the right antibodies to attach to these antigens. The antibodies will signify the appearance of the cancer cell and draw the attention of the immune system. The US Food and Drug Administration has approved 23 treatments of cancer using monoclonal antibody. Due to the limited space, we do not present the references for table 1, which shows 19 cases. The other 4 cases would be presented in another section due to some overlapping with check point blockade strategy. Information of these antibodies could be found in DrugBank (https://www.drugbank.ca/) database. 2. Checkpoint inhibitor. The information showed in figure 1 is the fundamentals to develop this strategy. As showed in figure 1, there are two points in the chain of immune reactions critical to the survivability of the T-cell: CTLA-4 and PD-1 receptors. Since these receptors triggers the T-cell apoptosis, the checkpoint inhibitor would blockade these two receptors to increase the survivability of the T-cells. In addition, since PD-1 only binds to PD-L1, blockading PD-L1 would have the similar outcome to blockading PD-1. Methods of blockading these receptors are the same to monoclonal antibody strategy, by finding the antibodies binding to these receptors. Drugs having this mechanism include pembrolizumab, nivolumab, cemiplimab, atezolizumab, avelumab and durvalumab (https://www.cancer. org/treatment/treatments-and-side-effects/ treatment-types/immunotherapy/immunecheckpoint-inhibitors.html). In addition, since PD-L1 is activated by the Interferon gamma (INF-γ) pathway (figure 1), another potential checkpoint is cytokine, especially around the INF-γ pathway. However, there have been no cytokine-based drugs approved to treat any cancer diseases. 3. CAR T-cell therapy. This strategy is developed from the same theory developing the first smallpox vaccine. Here, the immune system does not respond to the cancer cell because the immune system is unfamiliar with the cancer cells. Therefore, one way to solve the problem is to extract the white blood cells from the patient and modify these white blood cells by attaching specific chimeric antigen receptor to these cells. The chimeric antigen receptor would make the cells familiar and specialized for detecting the cancer cells. Later, these modified white blood cells are injected to the patient. Since these cells are already familiar with the cancer cell, they would detect and trigger the immune response toward the cancer cells. Since this treatment uses the patient s white blood cell, one treatment can be applied to only one patient. There are two CAR T-cell therapies approved for a limited cases of cancer treatment[6]. First, Kymria is approved for young adults with refractory or relapse (R/R) B cell acute lymphoblastic leukemia. Second, Yescarta is approved for adult patients with R/R large B cell lymphoma. 4. Cancer vaccine. This strategy is similar to the CAR T-cell therapy, except that in vaccine, the white blood cell is experienced with the cancer causes instead of being modified by 22

antigens. The cancer vaccine is applied in two cases. First, it is used in the cancer caused by chronic inflammation, such as the vaccine for human papilloma virus could help preventing cervical, anal, throat, and some other cancers, and vaccine for hepatitis B virus could help preventing some types of liver cancer [7]. Second, some cancer vaccines approved for earlyphases of cancer, such as oncophage, are the patients white blood cells that are trained with heat shock protein gp96 [8]. This protein is extracted from kidney cancer patients. CHALLENGES IN CANCER IMMUNOTHERAPY Despite the long-time researched and prospect of lower side-effect, immunotherapy has not been widely applied in cancer treatment, when compared to other types of cancer therapy due to many pharmaceutical reasons. First, immunotherapy is usually the last resort when all other types of therapy have failed. Patients entering trials or treatments of immunotherapy after many rounds of chemotherapy and radiation therapy. At that point, the patients immune system would severely weaken due to the side effects of these therapies, which makes immunotherapy much less successful. Second, immunotherapy usually successes in a narrow number of cases, especially in CAR T-cell and cancer vaccine strategies. This is largely because the treatment needs the personalized patients white blood cell. Third, for the less personalized strategy such as checkpoint inhibitor, targeting the checkpoint proteins may bring affects other anti-cancer mechanisms via intra-cellular signaling pathways. For example, in [2], the experimental results showed that after blockading both CTLA-4 and PD-1, many genes contributing to tumor suppressor lose the copy numbers among the non-responding patients. This result suggested that blockading these checkpoints may inhibit other anti-tumor mechanism, which cancel out the antitumor effects of immunotherapy and the pro-tumor effects of other mechanisms. Forth, at this point we have not been able to detect many antigens which are distinct for cancer cells [9]. Most of the antigens showed in table 1 strongly express in cancer cells. However, these antigens also appeared on the normal cells. Therefore, the monoclonal antibody strategy, which is currently the most widely applied strategy in cancer immunotherapy, could have the similar side effects to the side effects of chemotherapy, where the normal cells also take damage from the therapy. In addition to the pharmaceutical issues, several social economic factors make cancer immunotherapy less popular. First, cancer immunotherapy is an expensive strategy. In the United States, the blockading checkpoint treatment costs between $30,000 and $145,000 per patient per year [9]. Costs for the new CAR T-cell therapy and cancer vaccine are even more, which is greater than $400,000 per dose, and a patient usually takes 3 doses. Second, the CAR T-cell therapy and cancer vaccine face several ethical issues since the human cells are the component to produce the treatment. 23

Informatics, which includes health informatics and bioinformatics, could help solving several challenges in cancer immunotherapy. Using various techniques in modeling and prediction, informatics would increase the personalized capability, such as identifying the important antigens and other significantly expressed tumor suppressors in individuals. The higher personalized capability is, the better we can to predict whether the patient would respond to cancer immunotherapy, thus decrease the cost of treatment and clinical trials. Informatics is also capable of gene prioritization, which would help selecting more candidate antigens among the list of many possible human antigens as the targets for designing new immunotherapy strategies. Furthermore, the informatics tool computing the binding affinity is able to point out the antibodies likely to bind to these antigens above. These are the main research directions at the University of Alabama at Birmingham, in which the Informatics Institute would actively participate. CONCLUSIONS Discoveries at the molecular biology level of the immune system has opened many possibilities to unleash the capability of the patients immune system to treat cancer. Among these possibilities, the monoclonal antibody is the most suitable direction for immunotherapy research in the developing countries due to its relatively lower cost and the utilization of computational tools. This direction is still fairly underexplored, but yet exciting. REFERENCES 1. Monoclonal antibodies to treat cancer [https://www.cancer.org/treatment/treatmentsand-side-effects/treatment-types/immunotherapy/ monoclonal-antibodies.html]. 2. Roh W, Chen P.L, Reuben A, Spencer C.N, Prieto P.A, Miller J.P, Gopalakrishnan V, Wang F, Cooper Z.A, Reddy SM et al. Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance. Science Translational Medicine. 2017, 9 (379). 3. Ostrand-Rosenberg S. Immune surveillance: A balance between protumor and antitumor immunity. Curr Opin Genet Dev. 2008, 18 (1), pp.11-18. 4. Grivennikov S.I, Greten F.R, Karin M. Immunity, inflammation, and cancer. Cell. 2010, 140 (6), pp.883-899. 5. Vinay D.S, Ryan E.P, Pawelec G, Talib W.H, Stagg J, Elkord E, Lichtor T, Decker W.K, Whelan R.L, Kumara H et al. Immune evasion in cancer: Mechanistic basis and therapeutic strategies. Semin Cancer Biol. 2015, 35, Suppl:S185-S198. 6. Zheng P.P, Kros J.M, Li J. Approved CAR T cell therapies: Ice bucket challenges on glaring safety risks and long-term impacts. Drug Discov Today. 2018, 23 (6), pp.1175-1182. 7. Thomas S, Prendergast G.C. Cancer vaccines: A brief overview. Methods Mol Biol. 2016, 1403, pp.755-761. 8. di Pietro A, Tosti G, Ferrucci P.F, Testori A. Oncophage: step to the future for vaccine therapy in melanoma. Expert Opin Biol Ther. 2008, 8 (12), pp.1973-1984. 9. Ventola C.L Cancer Immunotherapy, Part 3: Challenges and Future Trends. P T. 2017, 42 (8), pp.514-521. 24