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Development of laboratory models to study Breast Cancer

Section of Pathology and Tumour Biology. Development of laboratory models to study Breast Cancer. Deborah Holliday Breast Research Group Section of Pathology & Tumour Biology. Outline. Introduction to the cells found in breast tissue Changes in breast cells during breast cancer

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Development of laboratory models to study Breast Cancer

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  1. Section of Pathology and Tumour Biology Development of laboratory models to study Breast Cancer Deborah Holliday Breast Research Group Section of Pathology & Tumour Biology

  2. Outline Introduction to the cells found in breast tissue Changes in breast cells during breast cancer Designing a model of breast cancer methods Use of the model: A tool for looking at cancer progression

  3. Cellular components of the normal breast Luminal epithelial cells: Milk producing cells Hormone responsive ER-alpha positive cells Myoepithelial cells: Surround the luminal cells Contractile cells Luminal and Myoepithelial cells form the glandular unit of the breast Fibroblasts: Form the structural component of the surrounding breast tissue Produce proteins important for maintaining breast structure Other cell types Blood vessels, fat cells, inflammatory cells

  4. ? Tumour cells Myoepithelial cells Luminal cells Fibroblasts Breast Cancer Progression • Normal breast tissue • Cells look ordered in appearance • Pre-invasive breast cancer • Tumour cells in the centre start to grow out of control • Invasive breast cancer • Tumour cells escape into the surrounding breast tissue • Ordered structure of the tissue is lost

  5. Pre-invasive breast cancer: Ductal carcinoma in situ(DCIS) DCIS is characterised by confinement of tumour cells to the breast glandular unit DCIS accounts for 40% of screen detected breast carcinoma 25-30% of untreated DCIS will progress to invasive carcinoma

  6. Important to define which DCIS cases are likely to progress A better understanding of the biology of tumour invasion may reveal new targets for therapies Problems with treatment of DCIS • Mastectomy • Patient is cured but ? Overtreatment ? • Conservative surgery • A proportion of tumours will recur • Some of those will progress to invasive carcinoma

  7. Designing a human model of breast cancer • The model would need to include 3 major cell types involved in breast cancer: • Tumour cells. • Myoepithelial cells (protector cells). • Fibroblasts (tumour helper cells). • Cells would need to be grown in culture conditions which resemble those in the body: • Able to grow in 3 dimensions rather than on a plastic Petri dish. • Such a model would be a valuable tool: • To help us understand how breast cancer progresses. • To allow us to test new drugs for therapy. • To potentially identify new targets for future drug development.

  8. Methods Myoepithelial cells Luminal cells Fibroblasts Collagen I Culture media • We isolated cells from normal breast tissue or from breast cancer tissue and grew then in a 3 dimensional matrix of collagen. • By labelling our cells with different colours we were able to identify the different cell types in our model. • We used the model to investigate whether fibroblasts are able to make pre-invasive lesions become invasive.

  9. Day 1 • Day 3 • Day 5 • Day 7 Ductal carcinoma in situ (DCIS) Invasive breast Carcinoma Green: Tumour Fibroblasts Results B Blue: Tumour cells Red: Myoepithelial cells Green: Normal Fibroblasts F

  10. Quantifying the model 10 9 8 7 6 5 number of structures per field 4 3 2 * 1 0 mcf/myo/TAF lum/myo/Nfib Normal Fibroblasts Normal Fibroblasts Tumour Fibroblasts Tumour Fibroblasts

  11. Summary How we are using the model • We have a model which we can use to study the biology of breast cancer • This will help us understand how breast cancer progresses • Different tumour cells to represent different types of breast cancer • Different fibroblasts to understand why in some patients cancer progresses faster than in others • Include drugs into the model with tumour fibroblasts to see if we can prevent ‘invasion’ • Established drugs • New Drugs = pre-clinical drug screen

  12. Section of Pathology and Tumour Biology Using 3D models to study radio-resistance in Breast Cancer Laura Smith Breast Research Group Section of Pathology & Tumour Biology

  13. Outline • Radiotherapy • Issues with radiotherapy • What would help overcome these issues? • The use of 3D models

  14. Radiotherapy • Reduces risk of the cancer coming back • Is given to many breast cancer patients • All patients having breast conserving surgery • Patients having a mastectomy but at high risk of the cancer coming back

  15. Issues withRadiotherapy • Unpleasant side effects • Short term • Long term • Stressful regime • Daily hospital visits 5 days/ week for 3 weeks • Limited availability of treatment machines • Long waiting lists in some areas • Not all patients will benefit • Some patients cancer will come back anyway

  16. Overcoming these issues • Better patient selection • Estrogen Receptor for Tamoxifen therapy • HER2 for Herceptin therapy • Nothing analogous to guide radiotherapy • Why do some cancers respond well to radiotherapy whilst others do not? • What factors are involved? • Radio-sensitizing drugs?

  17. Our Study • It is not only cancer cells that are exposed to radiotherapy but also the fibroblasts • Do fibroblasts influence breast cancer cell response to radiotherapy? • Do fibroblasts differentially influence the response of different breast cancer types?

  18. Myoepithelial Myoepithelial cells cells Luminal cells Luminal cells Treated Fibroblasts Untreated Fibroblasts Collagen I Collagen I Culture media Culture media Use of 3D Models

  19. Myoepithelial cells Luminal cells Type II Myoepithelial cells Treated Fibroblasts Luminal cells Type I Collagen I Treated Fibroblasts Culture media Collagen I Culture media Use of 3D Models

  20. Summary • Reduce side effects and improve quality of life for patients that will not benefit • Allow drs to select another type of treatment that will work for these patients • Reduce waiting times for those patients that will benefit thereby increasing survival

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