SBIR/STTR Research Award

Accurate prognosis and prediction of clinical benefits of adjuvant therapy for early-stage non-small cell lung cancer

Award identifier 32ddb7f158d58541382b8e135077d410e1c16aa4c5c9fefb377de2abbd1d0676Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$400,000

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
SOSTOS LLC
Proposal award date
2024-04-01
Contract end date
2025-03-31
UEI
TW4LF32FLS31
Solicitation number
PA22-176
Topic code
102

Research abstract

Project Summary Sostos, LLC has developed a qRT-PCR-based microfluidic 7-gene assay (CATOS-LU) that predicts recurrence or progression to metastasis of non-small cell lung cancer (NSCLC) in a patient who has undergone resection for stage 1 cancer without high-risk features at the time of surgical intervention. In retrospective/archived longitudinal clinical studies, our assay, which was developed utilizing novel artificial intelligence (AI) methods and validated via our qRT-PCR, next-generation sequencing (NGS), and proteomics, accurately predicted 1) the risk of tumor recurrence in early-stage NSCLC patients (n>1,600) including patients from a randomized phase III clinical trial JBR.10 (ClinicalTrials.gov); and 2) the clinical benefits of adjuvant chemotherapy in these patients. These results support that our technology can 1) identify early-stage NSCLC at high risk for tumor recurrence, and 2) predict the clinical benefits of chemotherapy in stage 1 NSCLC without high-risk features for earlier implementation of adjuvant chemotherapy in the course of disease management beyond the current standard of care. We have accomplished several key milestones to help demonstrate early proof-of-concept during the initial development of our product. We have submitted a set of comprehensive patent applications to strengthen our IP for our technology, addressing the clinical utility of CATOS-LU in patient snap-frozen and formalin-fixed paraffin-embedded (FFPE) tumors, which we have also discussed with the FDA. To help commercialize our technology, we intend to optimize CATOS-LU in FFPE clinical samples to better fit within the surgery/pathology/oncology workflow. In this Phase I SBIR project, we will establish a qRT-PCR assay, based upon our AI-defined 7-gene panel, focusing on stage 1 NSCLC without high-risk features (n=200), for the prediction of the recurrence risk. To enhance the clinical application and market value of our CATOS-LU within the standard of diagnostic care, we will develop our CATOS-LU of FFPE tumors in a CAP-accredited laboratory. The project will test the feasibility of integrating our proposed qRT-PCR assay of FFPE tumors into the existing hospital workflows for cost-effective in-house testing. The proposed data analysis will follow the FDA instructions that we have received and the results generated from this project will be submitted to the agency for approval. We have engaged strategic partners, including a commitment to match this project pending the award of Phase I. We request Phase I support to test the feasibility of our project and optimize our test to aid physicians in identifying these high-risk patients in the earliest stages of NSCLC. Ultimately, we intend to obtain CMS coverage/reimbursement as an LDT followed by FDA approval of our diagnostic test as an aid to diagnosis or risk score assessment for patients at high risk of recurrence of NSCLC in stage 1 without high-risk features following primary tumor resection.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

5 SBIR/STTR records share this UEI (2024–2025). Reported award amounts total $2,616,522. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

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