Scientific
Approach

Our science is based on the premise that there is untapped biology at the interface of cancer and the immune system and an opportunity to select ideal anti-cancer drug targets from the list of proteins upregulated in cancer.

What we can now achieve

Using our approach, we identify ideal anti-cancer drug targets with four critical attributes:

  • Being tumor specific
  • Being expressed across a broad array of tumor types
  • Being expressed homogeneously across cells in a tumor
  • Allowing cancer cells to spread disease and remain in the body so the cancer cannot be downregulated with the application of a target-specific therapeutic

Advancing the field of cancer target discovery

Many of today’s cancer biologics address targets that modulate tumor growth signaling (like EGFR, HER2, etc) to provide the survival benefit. Efforts continue to be put forth to select targets that impact the cancer cell itself. But these are limited because they are not tumor-specific, even if they are on a broad array of cancers.

We believe that because the tumor must survive within the immune system, there are proteins that are upregulated for the specific purpose of circumventing immune surveillance and clearance. The importance of these upregulated proteins can only be found by deeply understanding the complex interactions of the immune system and cancer.

 

platforms

Normunity was founded to be an integrated engine for novel anti-cancer drug discovery, seamlessly connecting groundbreaking research into the clinic. Together with the lab of Dr. Lieping Chen, a luminary in the field of cancer immunology, our drug discovery enterprise is designed to discover new therapies to reach more cancer patients by identifying and targeting novel mechanisms at the interface between the immune system and cancer.

AN INTEGRATED ENGINE FOR NOVEL CANCER DRUG DISCOVERY

Lieping Chen Lab DISCOVERY PLATFORM

Identify and validate novel targets

Deep target understanding

Generate hypothesis

Engineering platforms

Proposed biomarkers

Testing in animal models

Continuous enriching target understanding

Normunity Drug DEVELOPMENT

Develop novel medicines

Fully human monoclonal antibodies

Further animal testing

Chemistry, manufacturing and controls

Regulatory requirements

Clinical planning including Biomarker selection

Market strategy

Normunity Drug DEVELOPMENT

Our unique collaborative and iterative workflow is purpose-built to exchange scientific ideas, share key reagents and tools, and nurture basic science into clinical application. The Lieping Chen lab initiates hypothesis generation and building the essential assays to identify and validate novel targets. While the lab continues to interrogate the fundamental biology of targets, Normunity translates the target findings into drug candidates utilizing our deep experience in monoclonal antibody design and engineering and drug development.

UNCOVERING NOVEL MECHANISMS REQUIRES NEW PLATFORM CAPABILITIES

Because normal cancer-fighting immunity is disrupted by the cancer itself and involves multiple mechanisms, it difficult to study by conventional target-based methodologies. Our ability to target novel mechanisms is based on proprietary capabilities developed by the Lieping Chen lab using high throughput, physiologically relevant, phenotypic screening platforms to systematically interrogate the interactions between cancer and the immune system.

Key attributes of proprietary platforms enable us to reveal intersection points between cancer and the immune system

High
throughput

Simultaneous testing thousands of potential mechanisms

 
Unbiased

Interrogation of mechanisms without pre-supposed solution

Physiologically
Relevant

Utilize human cells and tissues

Rapid target
Deconvolution

Identify target that underlies observed phenotypic response

These proprietary platforms are building a comprehensive view of how the immune response malfunctions in cancer, revealing specific functional receptors and ligands that block the normal work of immune cells, including cytotoxic T-cells.

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