# Treatment of parathyroid neoplasia by pharmacologic cdk4/6 inhibition

> **NIH NIH R03** · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · 2022 · $82,000

## Abstract

Project Summary:
Parathyroid cancer is a rare, but typically incurable malignancy. Prolonged elevation of parathyroid hormone
and accompanying hypercalcemia cause significant morbidity and mortality. Surgery remains the primary
treatment and recurrence is seen in ~50% of patients. A precision medicine approach may improve outcomes
for patients whose disease is surgically incurable. Pharmacologic cdk4/6 inhibitors have recently been
introduced for the treatment of various cancer types, with mixed results. These drugs might be effective in the
30% of parathyroid cancers which harbor cyclin D1 amplification. The aim of this study is to assess the efficacy
of pharmacologic cdk4/6 inhibitors in a cyclin D1-driven mouse model of parathyroid neoplasia. Transgenic
mice will be treated with the cdk4/6 inhibitors palbociclib or abemaciclib, alone or in combination with
cinacalcet. These pre-clinical studies will help to determine if pharmacologic cdk4/6 inhibitors are likely to be
effective in parathyroid carcinoma patients whose tumors harbor amplifications/rearrangements of cyclin D1,
potentially establishing a new treatment for patients with surgically-incurable parathyroid cancer.

## Key facts

- **NIH application ID:** 10372170
- **Project number:** 5R03CA259649-02
- **Recipient organization:** UNIVERSITY OF CONNECTICUT SCH OF MED/DNT
- **Principal Investigator:** Jessica Costa
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $82,000
- **Award type:** 5
- **Project period:** 2021-03-15 → 2024-02-29

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10372170

## Citation

> US National Institutes of Health, RePORTER application 10372170, Treatment of parathyroid neoplasia by pharmacologic cdk4/6 inhibition (5R03CA259649-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10372170. Licensed CC0.

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