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In Vitro

Boost oncology drug discovery with XenoBase®, featuring the largest cell line selection and exclusive 3D organoid models. Benefit from OrganoidXplore™ and OmniScreen™ for rapid, in-depth analysis.

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In Vivo

Enhance drug development with our validated in vivo models, in vitro/ex vivo assays, and in silico modeling. Tailored solutions to optimize your candidates.

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Tissue

Experience ISO-certified biobanking quality. Access top biospecimens from a global clinical network, annotated by experts for precise research.

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Biomarkers and Bioanalysis

Leverage our global labs and 150+ scientists for fast, tailored project execution. Benefit from our expertise, cutting-edge tech, and validated workflows for reliable data outcomes.

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Data Science and Bioinformatics

Harness your data and discover biomarkers with our top bioinformatics expertise. Maximize data value and gain critical insights to accelerate drug discovery and elevate projects.

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KRAS

Accelerate innovative cancer treatments with our advanced models and precise drug screening for KRAS mutations, efficiently turning insights into clinical breakthroughs.

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EGFR

Advance translational pharmacology with our diverse pre-clinical models, robust assays, and data science-driven biomarker analysis, multi-omics, and spatial biology.

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Drug Resistance

Our suite integrates preclinical solutions, bioanalytical read-outs, and multi-omics to uncover drug resistance markers and expedite discovery with our unique four-step strategy.

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Enhance treatments with our human tumor and mouse models, including xenografts and organoids, for accurate cancer biology representation.

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Apply the most appropriate in silico framework to your pharmacology data or historical datasets to elevate your study design and analysis, and to improve your chances of clinical success.

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Integrate advanced statistics into your drug development projects to gain significant biological insight into your therapeutic candidate, with our expert team of bioinformaticians.

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Gain more insights into tumor growth and disease progression by leveraging our 2D and 3D fluorescence optical imaging.

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Next-generation ion mobility mass spectrometry (MS)-based proteomics services available globally to help meet your study needs.

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Gain better insight into the phenotypic response of your therapeutic candidate in organoids and ex vivo patient tissue.

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Global CRO in California, USA offering preclinical and translational oncology platforms with high-quality in vivo, in vitro, and ex vivo models.

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Personalized Cancer Immunotherapy

personalized precision immunotherapy strategies, therapeutic vaccination, car-t cell therapy, immune checkpoint inhibitors, adoptive cell transfer

personalized precision immunotherapy strategies, therapeutic vaccination, car-t cell therapy, immune checkpoint inhibitors, adoptive cell transferPrecision medicine and immunotherapy are currently two of the hottest areas of cancer research. How can immuno-oncology draw from precision medicine to create more personalized cancer therapies?

What is Precision Medicine?

Precision medicine refers to the tailoring of medical treatments to the individual characteristics of each patient. This therapeutic customization identifies which approaches will be the most effective for patients based on genetic, environmental, and lifestyle factors.

Why Personalized Immunotherapy?

Immunotherapy aims to stimulate (or restore) the patient’s own immune system to combat cancer. Immune checkpoint blockade through anti-PD-1, PD-L1, and CTLA-4 inhibitors demonstrates that the immune system is a critical player in fighting cancer, and that immunotherapies are a key new treatment class. They are already being used to successfully treat late stage cancers such as leukemia and metastatic melanoma, and more recently to treat mid-stage lung cancer.

However, only a fraction of patients have a strong response to these agents and patients that receive immunotherapy can experience dramatic side effects. These include severe autoimmune reactions, cancer recurrence, and in some cases, death.

This means that immunotherapy and precision medicine need to combine – to establish which treatments and immuno-oncology strategies will be most effective for different patients and create more personalized cancer immunotherapy.

CAR-T Cell Therapies

One type of personalized immunotherapy which has already been approved for patient use is chimeric antigen receptor (CAR)-T cell therapy, a novel immuno-oncology treatment modality.

CAR-T cells are autologous, or allogeneic, T cells which specifically target antigens or markers expressed on tumor cells. The first CAR-T therapy to be FDA approved was Kymriah™ (tisagenlecleucel) in August 2017, which targets the CD19 antigen (the most commonly targeted antigen in CAR-T cell therapy research). Kymriah was approved for the treatment of patients up to 25 years old with relapsed and/or refractory B-cell precursor acute lymphoblastic leukemia (ALL). Approval was based on a remarkable overall remission rate of 82.5%.

This closely followed by an approval for Yescarta™ (axicabtagene ciloleucel), which is indicated for the treatment of adult patients with relapsed and/or refractory large B-cell lymphoma, again targeting the CD19 antigen. This approval was based on an objective response rate of 72%.

In May this year, the FDA approved Kymriah for its second indication, the treatment of adult patients with relapsed or refractory large B cell lymphoma after two or more lines of systemic therapy. This includes diffuse large B cell lymphoma (DLBCL), high grade B cell lymphoma, and DLBCL arising from follicular lymphoma. The approval is based on the phase 2 JULIET study, in which the overall response rate to Kymriah was 50% in adult patients.

Is CAR-T Cell Therapy Safe?

As with any new treatment approach, efficacy needs to be effectively monitored, as well as safety. Potentially life-threatening toxicities have been linked to CAR-T cell therapy.

To improve the safety of CAR-T treatment, researchers are now engineering “suicide switches” into the cells. These switches are genetically encoded cell surface receptors that trigger the cell to die when a small molecule drug binds them. If doctors see a patient experiencing side effects, they can prescribe the small molecule drug and induce cell death within thirty minutes.

Other safety strategies include improving the specificity of CAR T-cells for tumor cells through adding a second CAR. This means that the engineered cell has to recognize two antigens to become activated.

Neoantigens

Another way to personalize cancer immunotherapy is to target neoantigens. Neoantigens are proteins which are unique to a cancer, arising from nonsynonymous somatic variations randomly acquired during cell division. This generates highly tumor-specific antigens (expressed exclusively in and on tumor cells), which can be selectively targeted to kill the cancer cell while leaving healthy cells unharmed.

For example, cancers such as lung and melanoma induced by smoking and UV exhibit high mutational loads of neoantigens. Tumors with this burden can potentially harbor immunogenic antigens that can be picked up by the immune system and trigger an antitumor response.

Neoantigens are unique not only to the cancer but also to the individual patient, therefore, they are antigens that the immune system has never encountered. As a result, the body’s defenses should have zero tolerance for a cell bearing a neoantigen. Treatment with a checkpoint inhibitor can unleash neoantigen-specific T cells to fight tumors, increasing both the quality of the antitumor immune response and its magnitude.

Neoantigens provide evidence that the genomic landscape does in fact shape response to immunotherapeutics.

Focusing Neoantigen Antitumor T Cell Response

Checkpoint inhibitors can also elicit T cell responses to nonmutated proteins, thereby diluting the neoantigen-specific response and reducing potential efficacy.

Multiple strategies are being developed to focus neoantigen antitumor T cell response, including:

Conclusions

For immuno-oncology to fulfill its potential, immunotherapy needs to be personalized by the identification of patient specific immunosuppressive mechanisms and through targeting specific neoantigens.


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