SBIR/STTR Research Award

A System for Xerostomia Risk Classification after Head and Neck Cancer Radiotherapy

Award identifier 8325289fa4a22cb09892fae397b1632820180b9d63bbd05194d105c69e9af0b6Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$520,870

Program and phase

SBIR · Phase I

Award year

2021

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Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
ONCOSPACE INC
Proposal award date
2021-04-01
Contract end date
2022-03-31
UEI
HSG5CY5VWW33
Solicitation number
PA18-837
Topic code
102

Research abstract

Project Summary/AbstractHead and neck cancer (HNC) patients survive years after oncologic therapy due to increased efficacy of therapy, increased incidences of human papilloma virus related HNC, and decreased numbers of smoking and tobacco related tumors. However, the majority of patients are plagued with long lasting or permanent dry mouth (xerostomia), whose severity, rate of development and resolution after treatment vary largely between survivors. However, current prediction models for dry mouth have intrinsic issues which so far have prevented their practical use in clinical care, including missing or incomplete data, co- occurence of multiple symptoms, variability across populations and across time, and, in the case of HNC and other spatially-dependent cancers, further symptom dependency on the anatomical location of dose within to organs at risk, namely, salivary glands.We propose to develop validated, patient-specific models to interpret radiation dose to salivary glands in order to inform individual treatment and care decisions for patients. Our data science approach circumvents limitations in the state of the art by accounting for more complex dose-reponse models of dry mouth, by calibrating for inter-patient variability, and by predicting symptom development and computing clinical action signals for a new patient based on cohorts of similar patients.The proposed supplement application extends the methodological approach of the parent award by incorporating validation data from an alternative facility, item assessment, and user experience testing of the resultant software model user interface, undertaken within a career development plan designed to enhance and accelerate the capacity of the applicant, who is from a background underrepresented in biomedical sciences, to transition to mentored and independent investigator status, thus enhancing cancer research workforce diversity under this program.PROJECT NARRATIVE Head and neck cancer (HNC) patients survive years after oncologic therapy, but are plagued with long lasting or permanent residual sequelae, whose severity, rate of development and resolution after treatment vary largely between survivors. This Diversity Supplement and parent project will develop specific models to interpret HNC symptoms reported by patients, in the context of their treatment. The project will lead to better insights into the development and evolution of symptoms, in order to inform individual treatment and care decisions.

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

4 SBIR/STTR records share this UEI (2019–2023). Reported award amounts total $2,145,740. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

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

Agency intelligence

Department of Health and Human Services

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