Optimizing the Tailored Treatment of Breast Cancer

Background: Breast cancer is a diverse disease. Over the past 3 decades it has been increasingly appreciated that therapy should be targeted to specific patient and tumour characteristics. In recent years the evaluation of tailored therapy has been dominated by the development of new drug therapy wh...

Full description

Bibliographic Details
Main Author: Amir, Eitan
Other Authors: Tannock, Ian
Language:en_ca
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/1807/33906
id ndltd-LACETR-oai-collectionscanada.gc.ca-OTU.1807-33906
record_format oai_dc
spelling ndltd-LACETR-oai-collectionscanada.gc.ca-OTU.1807-339062013-04-17T04:19:48ZOptimizing the Tailored Treatment of Breast CancerAmir, EitanBreast CancerOptimized therapy0766Background: Breast cancer is a diverse disease. Over the past 3 decades it has been increasingly appreciated that therapy should be targeted to specific patient and tumour characteristics. In recent years the evaluation of tailored therapy has been dominated by the development of new drug therapy which when successful has been marketed at a high price. There have been few successful attempts to optimize currently available therapies. This thesis explores the optimization of currently available therapies in three domains: efficacy, toxicity and supportive care. Methods: Three independent studies were undertaken. First, a prospective cohort study was conducted to assess the impact of re-biopsy of recurrent breast cancer on physician choice of therapy and on patient satisfaction. The second study comprised a systematic review and meta-analysis of randomized trials exploring toxicities associated with different endocrine therapy options for early breast cancer with the aim of identification of patients who may be harmed by certain drugs. Finally, a randomized feasibility study was conducted to evaluate de-escalated intravenous bisphosphonates in women with low-risk metastatic breast cancer to bone. Results: All studies met their objectives in showing that the tailored use of available therapies can be optimized. The prospective study of the impact of re-biopsy showed that treatment decisions were modified in 14% of women. Patient satisfaction with the process of re-biopsy was high. The meta-analysis of toxicities of endocrine therapy identified cardiovascular disease as a statistically significant toxicity of aromatase inhibitors, thereby suggesting that those with established cardiovascular disease or risk factors thereof should reduce their exposure to these drugs. Finally, the randomized feasibility study showed that it is possible to conduct randomized trials of de-escalated bisphosphonates in women with low-risk breast cancer and there was no signal that reducing the frequency of treatment was associated with untoward outcomes. Conclusions: It is possible to optimize the tailored therapy of breast cancer using currently available treatments. This may lead to improved patient outcome while using existing resources. Further studies assessing the optimization of other treatments are warranted.Tannock, Ian2012-112012-12-06T20:52:04ZNO_RESTRICTION2012-12-06T20:52:04Z2012-12-06Thesishttp://hdl.handle.net/1807/33906en_ca
collection NDLTD
language en_ca
sources NDLTD
topic Breast Cancer
Optimized therapy
0766
spellingShingle Breast Cancer
Optimized therapy
0766
Amir, Eitan
Optimizing the Tailored Treatment of Breast Cancer
description Background: Breast cancer is a diverse disease. Over the past 3 decades it has been increasingly appreciated that therapy should be targeted to specific patient and tumour characteristics. In recent years the evaluation of tailored therapy has been dominated by the development of new drug therapy which when successful has been marketed at a high price. There have been few successful attempts to optimize currently available therapies. This thesis explores the optimization of currently available therapies in three domains: efficacy, toxicity and supportive care. Methods: Three independent studies were undertaken. First, a prospective cohort study was conducted to assess the impact of re-biopsy of recurrent breast cancer on physician choice of therapy and on patient satisfaction. The second study comprised a systematic review and meta-analysis of randomized trials exploring toxicities associated with different endocrine therapy options for early breast cancer with the aim of identification of patients who may be harmed by certain drugs. Finally, a randomized feasibility study was conducted to evaluate de-escalated intravenous bisphosphonates in women with low-risk metastatic breast cancer to bone. Results: All studies met their objectives in showing that the tailored use of available therapies can be optimized. The prospective study of the impact of re-biopsy showed that treatment decisions were modified in 14% of women. Patient satisfaction with the process of re-biopsy was high. The meta-analysis of toxicities of endocrine therapy identified cardiovascular disease as a statistically significant toxicity of aromatase inhibitors, thereby suggesting that those with established cardiovascular disease or risk factors thereof should reduce their exposure to these drugs. Finally, the randomized feasibility study showed that it is possible to conduct randomized trials of de-escalated bisphosphonates in women with low-risk breast cancer and there was no signal that reducing the frequency of treatment was associated with untoward outcomes. Conclusions: It is possible to optimize the tailored therapy of breast cancer using currently available treatments. This may lead to improved patient outcome while using existing resources. Further studies assessing the optimization of other treatments are warranted.
author2 Tannock, Ian
author_facet Tannock, Ian
Amir, Eitan
author Amir, Eitan
author_sort Amir, Eitan
title Optimizing the Tailored Treatment of Breast Cancer
title_short Optimizing the Tailored Treatment of Breast Cancer
title_full Optimizing the Tailored Treatment of Breast Cancer
title_fullStr Optimizing the Tailored Treatment of Breast Cancer
title_full_unstemmed Optimizing the Tailored Treatment of Breast Cancer
title_sort optimizing the tailored treatment of breast cancer
publishDate 2012
url http://hdl.handle.net/1807/33906
work_keys_str_mv AT amireitan optimizingthetailoredtreatmentofbreastcancer
_version_ 1716580899938631680