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Updated: Jan 23, 2026

Depletion of Mouse Cells from Human Tumor Xenografts Significantly Improves Downstream Analysis of Target Cells
Published on: July 29, 2016
Durability of cell line xenograft resection models to interrogate tumor micro-environment targeting agents
Ian S Miller1, Liam P Shiels1, Emer Conroy2
1Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, 123 St Stephens Green, Dublin 2, Ireland.
Abstract:
Angiogenesis is a key tumor microenvironment (TME) event underpinning tumor growth and metastasis. Nevertheless, the relatively poor performance of anti-angiogenic therapies in clinical trials compared to pre-clinical studies implies that classical subcutaneous xenograft models have limited predictive potential in this setting. To address this issue, we established orthotopic surgical resection models of breast cancer, which replicate the phenotype of clinical post-resection micro-metastasis. To demonstrate the power and precision of these models, we recapitulated the BETH adjuvant trial (NCT00625898) where the addition of bevacizumab (BVZ) to chemotherapy plus trastuzumab (Trast) failed to provide additional benefit. SCID mice were orthotopically implanted with bioluminescent Her2+ MDA-MB-231 or HCC1954 cells and tumors resected c.5 weeks later. Following resection, mice were treated with 10 mg/kg Trast +5 mg/kg paclitaxel (PAC) IP once weekly for 6 cycles +/- weekly BVZ (5 mg/kg IP). Metastasis was monitored by imaging. Using these models our data confirms that the addition of the anti-angiogenic antibody BVZ to adjuvant Trast + chemotherapy provides no additional benefit compared with Trast + chemotherapy alone. Previous studies using non-resection subcutaneously engrafted xenografts failed to predict this outcome. Our results provide compelling evidence for the utility of cell line xenograft resection models to predict clinical outcome for TME targeting agents.
Insights
Orthotopic breast cancer resection models accurately predict clinical outcomes for anti-angiogenic therapies. These models show bevacizumab offers no added benefit when combined with standard chemotherapy and trastuzumab, unlike previous preclinical models.
Area of Science:
- Oncology
- Cancer Biology
- Translational Research
Background:
- Angiogenesis is crucial for tumor growth and metastasis within the tumor microenvironment (TME).
- Classical subcutaneous xenograft models show limited predictive value for anti-angiogenic therapies compared to clinical trial results.
- There is a need for more predictive preclinical models to guide the development of targeted cancer therapies.
Purpose of the Study:
- To establish and validate orthotopic surgical resection models for breast cancer.
- To assess the efficacy of bevacizumab in combination with chemotherapy and trastuzumab in a clinically relevant setting.
- To demonstrate the predictive potential of these models for tumor microenvironment targeting agents.
Main Methods:
- Orthotopic implantation of bioluminescent Her2+ breast cancer cell lines (MDA-MB-231, HCC1954) in SCID mice.
- Surgical resection of established orthotopic tumors followed by adjuvant treatment regimens.
- Treatment groups included chemotherapy (paclitaxel) plus trastuzumab, with or without bevacizumab, monitored for metastasis via imaging.
Main Results:
- The addition of bevacizumab to trastuzumab and chemotherapy did not improve outcomes or reduce metastasis.
- The orthotopic resection model accurately recapitulated the findings of the BETH adjuvant trial (NCT00625898).
- Subcutaneous xenograft models failed to predict the lack of benefit from bevacizumab in this context.
Conclusions:
- Orthotopic breast cancer resection models are superior to subcutaneous models for predicting clinical outcomes of anti-angiogenic therapies.
- Bevacizumab does not provide additional benefit when combined with adjuvant trastuzumab and chemotherapy in this model.
- These validated resection models offer a powerful tool for evaluating TME-targeting agents and improving clinical trial design.
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Published on: October 20, 2015
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