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Transforming cancer diagnostics and precision medicine through novel liquid biopsy mRNA technology

At Wren Labs, our mission is to pioneer innovative in-vitro diagnostics using machine learning and liquid biopsy-RNA technologies. We aim to enhance the detection of minimal residual disease, predict and monitor cancer response to therapies, and improve disease prognosis and outcomes.

OUR VALUES

Focused on Science, Innovation, and Collaboration

Be it blood or saliva, our molecular cancer diagnostics provide actionable disease information in real time.

We are committed to scientific discipline and harnessing the benefits of rigorously applied molecular science.

To combat cancer effectively, an innovative approach is essential, leveraging cutting-edge applications and techniques.

We know managing cancer requires inspired teamwork. We are open, connected, and fully collaborative.

We seek excellence across all phases of our operations: research, clinical testing, and data analysis.

The stakes could not be higher in our space; our principal focus is to positively impact the lives of cancer patients.

Credentials & Licenses

CLIA certification #: 07D2081388
CAP accreditation #: 8640840
NYSDOH-CLEP license #: PFI: 9138
Connecticut license #: CL-996
California license #: CDS-00800634
ISO15189 certificate #: 8640840

ABOUT OUR LAB

Our CAP-accredited and CLIA-certified Clinical Lab

All the molecular research, testing, and analysis we do is conducted at our CAP-accredited and CLIA-certified clinical laboratory in Branford, CT. The College of American Pathologists (CAP) accredits laboratories that meet their standards for quality of services using established performance standards. CLIA, or Clinical Laboratory Improvement Amendments, regulates laboratory testing and requires clinical laboratories to be certified by the Center for Medicare and Medicaid Services (CMS) before being able to accept human samples for diagnostic testing.

Most of the liquid biopsy tests we perform are based on real-time quantitative polymerase chain reaction (qPCR) methodology using RNA isolated from peripheral blood or saliva. qPCR is known for sensitive, specific, and reproducible gene expression measurement. Within our lab, we have optimized and standardized the testing processes utilized by our experienced and highly-trained technicians, who adhere to extensive quality control procedures to ensure reproducible and reliable testing results at every stage of our testing process:

RNA quantity and quality:

There must be a sufficient quantity of purified RNA to perform all qPCR reactions. The RNA must also meet acceptance criteria for purity, which includes testing for the presence of excess genomic DNA, which can interfere with gene expression measurement.

Gene-specific measurement ranges:

The measured quantity of each gene product must fall within established ranges.

Efficiency of qPCR:

The output of the polymerase chain reaction process, which doubles the target material every cycle, must fall within defined limits.

Accuracy & Precision:

Accuracy is the degree to which measurements equal the actual quantity in the absence of variability. Precision is the random variation from true quantity. Each of the genes tested must be within established accuracy and precision specifications.

STRATEGY & PIPELINE

Our Scientific Strategy and Forward Focus

Our scientific strategy involves identifying a series of gene signatures that enable us to categorize the state of a disease, primarily cancer at this stage. This information can be utilized for timely disease recurrence identification or to assess the effectiveness of therapy.

Algorithms

A key component of the strategy is the development of specific biomathematical algorithms to identify gene-signaling clusters that provide unique information regarding different types of tumor cell proliferation and metastatic potential.

mRNA

This strategy has facilitated the first identification of circulating neuroendocrine and other tumor cell mRNAs as well as defined the specific transcript signatures of the cells that identify disease undetectable by the current standard of care methodology. These can also be used to delineate the rate of growth, the likelihood of metastasis, and sensitivity to specific targeted therapy.

Beyond NETs

Beyond neuroendocrine cancer, our scientists have utilized this approach to identify blood-based biomarkers for prostate cancer (with our PROSTest), for predicting tumor response to alternate radiation-based therapies (PPQ for Peptide Receptor Radionuclide therapy for NETs ) as well as developing saliva-based PCR tests to detect different cancers.

Pipeline

We are currently developing diagnostics for several other solid tumors, including Breast Cancer, Colon Cancer, Lung Cancer, Melanoma, Myeloma, and Pancreatic Cancer.  In addition, we are developing tests for non-cancerous diseases such as endometriosis.

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Laboratory samples