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Immuno-oncology: Leveraging Antibodies to Target CancerImmuno-Oncology harnesses, redirects, and boosts the power of the immune system to target cancer. Unlike traditional chemotherapy, which attacks all rapidly dividing cells whether they’re healthy or malignant, immunotherapy is more targeted, utilizing the body’s natural defenses to strategically attack cancer cells. Immunotherapy for cancer is a direct result of advances in technology for recombinant antibody generation, cell and gene therapy engineering, and increasing appreciation of the immune system’s role in cancer prevention and control. It has been successfully deployed in the clinic for hematological malignancies, such as Chronic Lymphocytic Leukemia (CLL), Non-Hodgkin Lymphoma (NHL), and Acute Lymphocytic Leukemia (ALL). While solid tumors have proven more challenging to target, immunotherapy is gaining traction for treatment in some cases. Once considered a last resort treatment, immunotherapy is often the first line of treatment for advanced and metastatic melanoma. The immune system is involved at every stage of tumor suppression:
However, during tumorigenesis and disease progression, the tumor actively suppresses this potent immune response by:
In summary, the immune system has a potent anti-tumor response, and the tumor has a potent anti-immune response. Immunotherapy is what helps tip the balance in favor of the anti-tumor immune response. Antibody-Mediated ImmunotherapyOne of the primary strategies to boost the immune response to tumors leverages the specificity of antibodies. According to the Cancer Research Institute, there are three primary types of antibody-mediated therapies: Monoclonal antibodies (mAbs), Bispecific antibodies, and Antibody-Drug Conjugates (ADCs).
Note: More information about ADCs can be found at the Cancer Research Institute. Immune Checkpoint BlockadeThe immune response is tightly regulated by checkpoints, achieving a careful balance between activation and inhibitory receptors. Inhibitory receptors on immune cells are critical to avoid unnecessary damage to the host. Innate cells, like NK cells and γδ T cells, constitutively express inhibitory receptors to prevent killing and phagocytosis of healthy host cells, while α/β T cells upregulate inhibitory receptors soon after activation to regulate expansion and effector function. Tumor cells, like those of non-small cell lung cancer (NSCLC), prostate cancer and melanoma, will upregulate inhibitory ligands to avoid destruction by the immune system. In general, immune checkpoint blockade therapy seeks to disrupt the receptor-ligand interaction between the inhibitory receptor of the immune cells and the ligand expressed on the tumor cells. Checkpoint blockade therapy liberates the immune cells from this inhibition. Ex vivo or in vitro characterization of immune checkpoints is the first step towards development of effective immunotherapy. In addition to flow cytometry, immunohistochemistry (IHC), and immunocytochemistry/immunofluorescence (ICC/IF), Bio-Techne has a large selection of highly validated immune checkpoint antibodies for blocking and neutralization. Functional ELISA data showing successful blocking of receptor-ligand interaction with receptor-blocking antibody. Orange line shows recombinant ligand binds to receptor in dose-dependent manner, in the absence of the antibody. (Left) At 0.09-0.72 µg/mL, Mouse Anti-Human PD-1 (1015846) (Catalog # MAB10864) will block 50% of the binding of 5 µg/mL of Recombinant Human PD-L1/B7-H1 Fc Chimera (orange line, Catalog # 156-B7) to immobilized Recombinant Human PD 1 His-tagged Protein (Catalog # 8986-PD) coated at 1 µg/mL (100 µL/well). At 5 µg/mL, this antibody will block >90% of the binding. (Middle) At 70-350 ng/mL, Rabbit Anti-Cynomolgus TIGIT (2629A) (Catalog # MAB10532) will block 50% of the binding of Recombinant Cynomolgus Monkey TIGIT (Catalog # 9380-TG) bound to immobilized Recombinant Human CD155/PVR (Catalog # 2530-CD) coated at 2.5 µg/mL (100 µL/well). (right) At 0.08-0.8 µg/mL, Rat Anti-Mouse CD47 (974222) (Catalog # MAB18661) will block 50% of the binding of 0.25 µg/mL of Recombinant Mouse CD47 Fc Chimera (orange line, Catalog # 1866-CD) to immobilized Recombinant Mouse SIRP alpha /CD172a Fc Chimera (Catalog # 7154-SA) coated at 1 µg/mL (100 µL/well). At 5 µg/mL, this antibody will block >90% of the binding. Current and Emerging Targets for Immune Checkpoint BlockadeThe first two immune checkpoint blockade therapies approved for use in humans target the CTLA-4/CD80-CD86 and PD-1/PD-L1 axes, both members of the B7-CD28 families of immune checkpoints. The B7 family proteins are expressed on surface of antigen presenting cells (APCs) and tumor cells and interact with receptors of the CD28 family of proteins on immune cells. Members of these families are required for both co-stimulatory and co-inhibitory functions of T cells. Many other members of B7-CD28 protein families are under investigation as additional targets for immunotherapy.
A 2018 study found that only about 43% of cancer patients are eligible for checkpoint blockade therapy, and the frequency of patients who respond is around 12%. Because such a small percentage of patients respond to current checkpoint blockade, additional checkpoints, beyond the B7 family, are of intense interest, including other inhibitors of cytotoxicity, like TIM-3 and TIGIT. Tumor cells can also upregulate ligands to inhibit phagocytosis by patrolling macrophages and myeloid cells. These ligands, such as CD24 and CD47, are expressed on all mammalian cells and are a “don’t eat me” signal to the innate immune system. Orthogonal Strategies Validation. TIM-3 is an inhibitory receptor expressed on the surface of T cells and NK cells. TIM-3 mRNA was detected in formalin-fixed paraffin-embedded tissue sections of human tonsil probed with ACD RNAScope® Probe HAVCR2 (ACD Catalog # 560681) and stained using ACD RNAScope® 2.5 HD Detection Reagents-Red (right image, ACD Catalog # 32260). Adjacent tissue section was processed for immunohistochemistry using Goat Anti-Human TIM-3 Antibody (R&D Systems Catalog # AF2365) followed by incubation with the Anti-Goat IgG VisUCyte HRP Polymer Antibody (R&D Systems, Catalog # VC004) and DAB chromogen (right image, yellow-brown). Tissues were counterstained with hematoxylin (blue).
Learn about more immune checkpoint targets with Bio-Techne’s eBook, Current and Emerging Immune Checkpoint Targets for Immuno-Oncology Research.
Efficacy of immune checkpoint blockade is determined by several factors: expression of inhibitory receptors by tumors, penetration of therapeutic antibodies into solid tumors, and accessibility of the tumor to immune cells. Due to redundancy of inhibitor expression (e.g. both LAG-3 and PD-1 expressed on the same cell) and the complexity of the tumor microenvironment (TME), combination immune checkpoint blockade might be required to achieve optimal anti-tumor immunity. Combination checkpoint blockade could include two or more co-inhibitory receptors or a multipronged approach targeting an inhibitory receptor and phagocytosis inhibitor, like CD47. Combination blockade can be achieved with a cocktail of monoclonal antibodies or an engineered bispecific antibody. LAG-3 inhibitory receptor expressed on the surface of stimulated T cells. Human peripheral blood mononuclear cells (PBMCs) were either untreated (bottom panel) or treated with 5 μg/mL PHA (top panel). PBMCs were stained with Mouse Anti-Human LAG-3 (1009611 ) (Catalog # MAB23195) followed by Allophycocyanin (APC)-conjugated Anti-Mouse IgG Secondary Antibody (Catalog # F0101B) and PE-conjugated Mouse Anti-Human CD3 epsilon (UCHT1) (Catalog # FAB100P). Quadrant markers were set based on isotype control antibody staining (Catalog # MAB003). CD3 clone UCHT1 was used by HCDM in HLDA Workshop to establish CD designation. Optimize Detection with our LAG-3 Antibody Sampler Pack Bispecific AntibodiesAdvances in antibody engineering have led to the development of bispecific antibodies. As indicated by their name, the variable regions of these antibodies recognize two different antigens.
Blue and green represent two different antigen specificities. Only one example of F(ab)2 and ScFv fragments structures are shown. For cancer therapy, bispecific antibodies are utilized in two ways:
Spotlight: Redirection of Cytotoxic Cells
Often, TAAs targeted by antibody-therapy are not unique to the tumor cells and are also expressed on healthy cells. However, TAAs are frequently overexpressed on tumor cells compared to healthy cells, providing an opportunity to exploit advanced antibody engineering technology. To limit the redirection of cytotoxic cells to healthy, non-malignant cells, bispecific antibodies provide a distinct advantage over traditional antibody therapies due to an engineering technique often referred to as affinity tuning. Affinity tuning involves selecting antibodies with certain binding properties, or affinity, for a particular antigen. During an immune response in vivo, antibodies often undergo a process called affinity maturation where high affinity antibodies are selected in the germinal center reaction. Researchers can simulate this process in vitro by introducing targeted mutations of the variable region and measuring antibody affinity via surface plasmon resonance (SPR). An affinity-tuning approach allows for selection of bispecific antibodies with weak antibody binding (low affinity) to the activating receptor (CD3 or CD16) and strong binding (high affinity) to the TAA, such as EpCAM. This increases the likelihood that the antibody will be bound to a tumor cell before it activates the cytotoxic cell, enhancing efficacy and reducing non-specific activation.
As an additional challenge, antibodies directed against CD3 will indiscriminately target both CD8+ cytotoxic T cells and CD4+ T regulatory cells, which could promote an immunosuppressive TME. Though currently approved therapies target CD3 and TAA, researchers are also exploring bispecific antibodies targeting NK cell markers, like CD16A.
Limitations and Future Directions of Antibody-Based ImmunotherapyWith the implementation of antibody-based therapies, there have been significant advancements in cancer treatment of high mortality malignancies, like metastatic NSCLC and melanoma. However, there are still significant limitations of antibody-mediated immunotherapy including:
Select ReferencesMoore GL, Lee S-H, Schubbert S, Miranda Y, Rashid R, Pong E, et al. Tuning T Cell Affinity Improves Efficacy and Safety of Anti-CD38 × Anti-CD3 Bispecific Antibodies in Monkeys - a Potential Therapy for Multiple Myeloma. Blood 2015;126:1798–1798. https://doi.org/10.1182/BLOOD.V126.23.1798.1798. Wang W, Guo H, Geng J, Zheng X, Wei H, Sun R, et al. Tumor-released Galectin-3, a Soluble Inhibitory Ligand of Human NKp30, Plays an Important Role in Tumor Escape from NK Cell Attack. J Biol Chem 2014;289:33311. https://doi.org/10.1074/JBC.M114.603464. Lum LG, Thakur A, Choi M, Deol A, Kondadasula V, Schalk D, et al. Clinical and immune responses to anti-CD3 x anti-EGFR bispecific antibody armed activated T cells (EGFR BATs) in pancreatic cancer patients. Https://DoiOrg/101080/2162402X20201773201 2020;9:. https://doi.org/10.1080/2162402X.2020.1773201. Müller P, Rios-Doria J, Harper J, Cao A. Combining ADCs with Immuno-Oncology Agents. Cancer Drug Discov Dev 2018:11–44. https://doi.org/10.1007/978-3-319-78154-9_2. Chauvin J-M, Zarour HM. TIGIT in cancer immunotherapy. J Immunother Cancer 2020;8:e000957. https://doi.org/10.1136/JITC-2020-000957. Barkal A, Brewer R, Markovic M, Kowarsky M, Barkal S, Zaro B, et al. CD24 signaling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature 2019;572:392–6. https://doi.org/10.1038/S41586-019-1456-0. Strome AL, Zhang X, Strome SE. The evolving role of immuno-oncology for the treatment of head and neck cancer. Laryngoscope Investig Otolaryngol 2019;4:62–9. https://doi.org/10.1002/LIO2.235. Wculek SK, Cueto FJ, Mujal AM, Melero I, Krummel MF, Sancho D. Dendritic cells in cancer immunology and immunotherapy. Nat Rev Immunol 2019 201 2019;20:7–24. https://doi.org/10.1038/s41577-019-0210-z. Veglia F, Sanseviero E, Gabrilovich DI. Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity. Nat Rev Immunol 2021 218 2021;21:485–98. https://doi.org/10.1038/s41577-020-00490-y. DeNardo DG, Ruffell B. Macrophages as regulators of tumor immunity and immunotherapy. Nat Rev Immunol 2019 196 2019;19:369–82. https://doi.org/10.1038/s41577-019-0127-6. Labrijn AF, Janmaat ML, Reichert JM, Parren PWHI. Bispecific antibodies: a mechanistic review of the pipeline. Nat Rev Drug Discov 2019 188 2019;18:585–608. https://doi.org/10.1038/s41573-019-0028-1. Waldman AD, Fritz JM, Lenardo MJ. A guide to cancer immunotherapy: from T cell basic science to clinical practice. Nat Rev Immunol 2020 2011 2020;20:651–68. https://doi.org/10.1038/s41577-020-0306-5. Marshall HT, Djamgoz MBA. Immuno-Oncology: Emerging Targets and Combination Therapies. Front Oncol 2018;0:315. https://doi.org/10.3389/FONC.2018.00315. Nanobodies is a registered trademark of Ablynx N.V. |