SBIR/STTR Research Award

Development of a radiation-activatable nanoparticle for lung cancer therapy

Award identifier 6d3bfb9e0f7e0b69373c9939c2995869317bd9912da6b2caa6e3dba57c0c72e7Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$400,000

Program and phase

STTR · Phase I

Award year

2021

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ATHNA BIOTECH INC
Proposal award date
2021-06-14
Contract end date
2022-05-31
UEI
LBCCTS71U2N4
Solicitation number
PA20-265
Topic code
102

Research abstract

ABSTRACT Non–small cell lung cancer (NSCLC) is a leading cause of cancer-related mortality. NSCLC accounts for 85% of all lung cancers, and is diagnosed in 234,030 persons each year in the US. For the majority of patients with locally advanced or local regional disease, radiation therapy (RT) is the standard care. However, the dose and efficacy of RT is limited by normal tissue toxicity. To improve tumor control, radiosensitizers such as cisplatin and paclitaxel are used in concurrent with RT, i.e. chemoradiotherapy (CRT). However, CRT is associated with high levels of acute and systemic toxicity. Many patients are unfit to receive CRT or complete the planned courses. There is an urgent need of methodologies that can deliver radiosensitizers site-specifically to tumors to enhance RT. Athna Biotech, Inc. is developing a new CRT approach where radiation is utilized to locally activate systemically delivered therapeutics. Specifically, we have synthesized a radiation-responsive prodrug, DM1-NO, a nitrosylated maytansinoid DM1. The prodrug can be loaded into poly(lactide-co-glycolic)-block-poly(ethylene glycol) nanoparticles and delivered to tumors. To improve delivery efficiency, the nanoparticles are conjugated with NTSmut, a ligand that has high affinity towards NTSR1, which is up-regulated in 59.7% lung tumors. During RT, irradiation elevates oxidative stress in tumors, resulting in the disassociation of DM1-NO and the release of DM1 and nitric oxide (NO). Both DM1 and NO are effective radiosensitizers, working synergistically to enhance RT. With nanoparticle delivery, NTSR1 targeting, conformal radiation, and radiation-responsive activation, this approach is associated with high tumor selectivity thus permitting accurate radiosensitization. The methodology can be extended to treatment of other cancers, such as prostate, head and neck, breast, and colon cancer, where NTSR1 is also upregulated.PROJECT NARRATIVE This project aims to develop a new chemo-radiotherapy approach for non-small cell lung cancer. Briefly, nitrosylated mertansine, a prodrug, is encapsulated into poly(lactide-co-glycolic) or PLGA nanoparticles, and delivered to tumors in the lung. Under radiation, the prodrug is activated, producing mertansine and nitric oxide that synergistically enhance radiotherapy efficacy.

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

3 SBIR/STTR records share this UEI (2021–2025). Reported award amounts total $1,701,297. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Health and Human Services

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.