Probing the mechanisms of dependency underlying skeletal genetic pathways of P53 and notch in the pathogenesis of osteosarcoma

Active Project Grant Awarded Last action

Award ID
R01CA300681
Recipient
Awarding agency
Obligated
$1,004,250

Award facts

Assistance listing
93.396 Cancer Biology Research
Completion date 31% complete
Place of performance
Sioux Falls, SD 57104, USA

Award details come from USAspending.gov.

Description

Abstract
The goal of this proposal is to understand cancer dependency pathways that regulate premalignant osteoblasts and the development of osteosarcoma. Osteosarcoma originates from cells of the osteoblast lineage and is a fatal bone tumor that occurs primarily in children. Clinical outcomes for human osteosarcoma patients with tumor recurrence or metastatic spread are devastating. Elucidating cancer-dependent skeletal genes and pathways in osteosarcoma is critical for the development of effective new therapies. Multiple lines of evidence indicate that tumor protein P53 and RB mutations are major drivers of osteosarcoma in patients with LI-fraumeni family cancer syndrome and hereditary retinoblastoma, as well as in the majority of patients with sporadic osteosarcoma. However, how dependent genes and pathways in osteosarcoma promote proliferation, differentiation, and metastasis is unclear. We have recently developed several osteoblast-specific genetically engineered mouse models (gemms) of osteosarcoma tumors that recapitulate the defining features of human osteosarcoma, including cytogenetic complexity, gene expression signatures, histology, and metastatic behavior. These models provide powerful tools for understanding the above clinical challenges and developing new treatment strategies. Our preliminary studies in mouse and human osteosarcoma cells uncover a link between cancer-dependent pathways and osteosarcoma progression. Validation of these findings will greatly facilitate clinical applications. Based on these findings, we hypothesize that cancer-dependent skeletal genes and pathways play critical roles in osteosarcoma progression. Furthermore, perturbation of cancer-dependent pathways may contribute to osteosarcoma metastasis and cancer therapy. We will test this hypothesis through two specific aims. 1) investigating the role of cancer-dependent skeletal genes and pathways in osteoblast-specific P53 and RB loss- of-function models; 2) assessing the potential for manipulation of cancer-dependent skeletal genes and pathways to treat gemms as well as human osteosarcoma xenograft models. As this work is completed, we will have a more complete understanding of the molecular mechanisms underlying the role of cancer-dependent skeletal pathways in osteosarcoma growth and progression. Additionally, we will gain improved rationales for the use of preclinical and/or clinical agents in pediatric cancer treatment, as well as new insights into how to improve the efficacy of chemotherapeutic agents.

Transactions

Action Obligated Date
Amendment $489,845
Original award $514,405

Subawards

Subrecipient Amount Awarded
The University Of Iowa Iowa has extensive bioinformatics and computational genomic experience in analyzing single-cell and bulk RNA-sequencing, ATAC-seq, and ChIP-sequencing data.… $27,648
The Regents Of The University Of California. San Francisco UCSF has been studying the role of key pathway genes in Notchinduced and p53-loss-induced osteosarcoma GEMMs and PDX models. They have developed a number of… $65,744
Mayo Clinic Iowa will provide the Hdac3 flox mouse line and offer advice and discussion regarding methodology and troubleshooting in analyzing bone cell and bone tumor cell… $44,352

Quick answers

Who received award R01CA300681?

R01CA300681 was awarded to Sanford Research by National Cancer Institute (National Institutes of Health) on April 1, 2025.

How much is award R01CA300681 worth?

$1,004,250 has been obligated on R01CA300681.

On GovTribe

See this award's full record

  • Every transaction and subaward
  • The recipient's other awards and teaming partners
  • Similar grant awards
  • Ask GovTribe AI about this award