#162106

HCI-040-EI breast cancer PDX

Cat. #162106

HCI-040-EI breast cancer PDX

Cat. #: 162106

Cancer Type: Breast cancer

This fee is applicable only for non-profit organisations. If you are a for-profit organisation or a researcher working on commercially-sponsored academic research, you will need to contact our licensing team for a commercial use license.

Contributor

Inventor: Alana L Welm, Yi-Chun Lin, Yoko Sakata DeRose

Institute: The University of Utah Research Foundation

Primary Citation: Guillen, et al. 2022. Nature Cancer. Feb; 3(2):232-250. PMID: 35221336

Tool Details
Patient Details
Engraftment Details
Handling
Application Details
References

Tool Details

*FOR RESEARCH USE ONLY (for other uses, please contact the licensing team)

  • Research area: Breast Cancer
  • Description: Human breast cancer patient-derived xenograft (PDX) model that retains high fidelity to original tumour, including spatial structure, intratumour heterogeneity, genomic features, tumour growth rate, metastatic patterns, and drug responses. These highly translatable PDX models can be used to more accurately assess therapeutic efficacy and predict patient responses in preclinical drug validation studies than traditional models. This panel of PDX models includes some of the deadliest forms of breast cancer such as drug-resistant, metastatic tumours, and endocrine-resistant estrogen receptor-positive (ER+) and human epidermal growth factor receptor positive (HER2+) tumours. Sample taken from same donor as HCI-040 in 2017 from femur met of Caucasian female, age 73 at time of collection with a primary diagnosis of right IDC;2006. Patient had no history of smoking and experienced clinical metastasis in the lung and femur. It's unknown if patient had undergone radiation therapy prior to sample collection, but patient had received systemic treatment with tamoxifen 2007; anastrazole 2007; letrozole 2015; tamoxifen 2017; fulvestrant 2017 prior to sample collection. Patient and PDX characteristics were as follows - ER status: positive, PR status: positive, HER2 status: positive. PDX information: PDX engrafted in Sept 2019 from HCI-040 in OVX mice. Not estrogen dependent and no hotspot ESR1 mutation detected. PAM50 subtype not done and tests to detect metastasis not done

Patient Details

  • Cancer type: Breast Cancer
  • Biopsy site: Bone metastasis
  • Gender: Female
  • Patient ethnicity: Caucasian
  • Treatment history: Pretreated: It's unknown if patient had undergone radiation therapy prior to sample collection, but patient had received systemic treatment with tamoxifen 2007; anastrazole 2007; letrozole 2015; tamoxifen 2017; fulvestrant 2017 prior to sample collection

Engraftment Details

  • Mice passaged: Yes
  • Engraftment site: Cleared mammary fat pad
  • Sample type: HCI-040 PDX Tissue Fragment
  • Host strain: Immunocompromised mice NOD scid gamma (NSG) Jackson Laboratory 5557; NOD/scid, Jackson Laboratory 1303 or NOD rag gamma (NRG), Jackson Laboratory 7799
  • Production details: Fresh or thawed human breast tumour fragments were implanted into the cleared inguinal mammary fat pad of female Immune-compromised mice. For bone metastasis samples, bone fragments were coimplanted. For liquid specimens, pleural effusion, or ascites fluid, 1-2 milion cells were injected into cleared mammary fat pads in Matrigel. For ER+ tumours, mice were dosed with E2 beeswax pellets and given supplemental E2 via drinking water. When tumours reached 1-2 cm in diameter, tumours were aseptically collected and reimplanted into new m ice or banked. Estrogen-independent ER+ breast PDX models were generated when ER+ PDX tumours were transplated into overiectomized mice without E2 supplementation.

Handling

  • Additional notes: Additional Information on PDX establishment: https://www.nature.com/articles/s43018-022-00337-6/figures/9

Application Details

  • Genetic data: Whole exome sequencing, SNP array, CNV data and RNA sequence from Guillen et al. 2022 Nature Cancer, is available in NIH database dbGaP under accession number phs002479.v1.p1

References

  • Tufail, et al. 2024. Journal of Translational Med. Jan 3:22(1):15. PMID: 38172946
  • Bhattacharya, et al. 2023. Journal of Experimental & Clinical Cancer Research. Dec 16:42(1):343. PMID: 38102637
  • Prekovic, et al. 2023. EMBO Molecular Medicine. Dec 7:15(12):e17737. PMID: 37902007
  • Daneshdoust, et al. 2023. Cells. Sep 30:12(19):2338. PMID: 37830602
  • Wang, et al. 2023. Cell Bioscience. Dec 1:13(1):224. PMID: 38041134
  • Guillen, et al. 2022. Nature Cancer. Feb 3(2):232-250. PMID: 35221336