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1. Introduction
2. Epidemiology (1)
3. Epidemiology (2)
4. Potential roles of genomics
5. Areas for improvement
6. Classical prognostic factors
7. Example of the adjuvant online software (1)
8. Example of the adjuvant online software (2)
9. Techniques used in translational studies
10. Microarrays
11. Representation of microarrays
12. RT-PCR
13. Example for PCR representation
14. Breast cancer biology
15. Breast cancer development
16. Breast cancer development as seen in microarrays
17. Metastatic potential present in early tumor stages
18. Gene expression phenotypes in ER+ and ER-
19. Grade 1 and grade 3 of tumor differentiation
20. Grade 2 tumors
21. Molecular taxonomy of breast cancer
22. Molecular subtypes and prognosis
23. Well defined molecular subtypes
24. Luminal vs. basal-like tumors (1)
25. Luminal vs. basal-like tumors (2)
26. Correlation of subtypes with prognostic profiles
27. Prediction of response
28. Benefits of predicting response
29. Current predictive markers
30. Single molecular predictors
31. Prediction of response docetaxel - 92 genes
32. Prediction of response docetaxel - 85 genes
33. Prediction of response paclitaxel
34. Prediction of response tamoxifen - 81 genes (1)
35. Prediction of response tamoxifen - 81 genes (2)
36. Subtypes and response to chemotherapy
37. Prognosis
38. Importance pf prognosis
39. Development of gene predictors
40. Amsterdam 70-gene profile (1)
41. Amsterdam 70-gene profile (2)
42. MammaPrint: independent validation
43. Rotterdam 76-gene profile
44. Recurrence score 21 gene profile
45. Recurrence score by group
46. Recurrence score survival
47. Recurrence score as a continuous predictor
48. Recurrence score independent of size/age
49. Development of recurrence score
50. Validation of recurrence score (1)
51. Validation of recurrence score (2)
52. Conditions to use gene profiles
53. EORTC-BIG: MINDACT
54. TAILOR-x
55. Conclusions (1)
56. Conclusions (2)
57. Acknowledgements

Topics Covered

• DNA microarrays and PCR can provide information about the biology of breast cancer, prediction of response and prognosis
• A molecular taxonomy of breast cancer has been proposed based on gene profiling
• Prediction of response is still inaccurate and further studies should be performed
• Several prognostic profiles have proved advantage over classical prognostic factors
• They could be used in the near future to select patients for adjuvant chemotherapy in breast cancer

Links

Series:

• Cancer Therapy

Categories:

• Cancer
• Clinical Practice

Therapeutic Areas:

• Oncology

Talk Citation

Publication History

• Published on January 6, 2009
• Archived on February 25, 2021

Financial Disclosures

• Dr. Enrique Espinosa has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.