Targeted Therapy in Breast Cancer

2008 ◽  
pp. 43-59
Author(s):  
Barbara S. Craft ◽  
Stacy Moulder
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy

scholarly journals Aptamer-protamine-siRNA nanoparticles in targeted therapy of ErbB3 positive breast cancer cells

2020 ◽  
Vol 590 ◽  
pp. 119963
Author(s):  
Xiangshang Xu ◽  
Li Li ◽  
Xiaolan Li ◽  
Deding Tao ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Positive Breast Cancer

scholarly journals Pathogenesis and Potential Therapeutic Targets for Triple-Negative Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2978
Author(s):  
Chia-Jung Li ◽  
Yen-Dun Tony Tzeng ◽  
Yi-Han Chiu ◽  
Hung-Yu Lin ◽  
Ming-Feng Hou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
High Efficiency ◽  
Early Recurrence ◽  
New Developments ◽  
Great Progress ◽  
Low Toxicity ◽  
Made In

Triple negative breast cancer (TNBC) is a heterogeneous tumor characterized by early recurrence, high invasion, and poor prognosis. Currently, its treatment includes chemotherapy, which shows a suboptimal efficacy. However, with the increasing studies on TNBC subtypes and tumor molecular biology, great progress has been made in targeted therapy for TNBC. The new developments in the treatment of breast cancer include targeted therapy, which has the advantages of accurate positioning, high efficiency, and low toxicity, as compared to surgery, radiotherapy, and chemotherapy. Given its importance as cancer treatment, we review the latest research on the subtypes of TNBC and relevant targeted therapies.

Loss of HER2‐positivity following neoadjuvant targeted therapy for breast cancer is not associated with inferior oncologic outcomes

2021 ◽  
Author(s):  
Catherine L. Wetzel ◽  
Thomas L. Sutton ◽  
Stuart Gardiner ◽  
Maryam Farinola ◽  
Nathalie Johnson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy ◽  
Oncologic Outcomes ◽  
Her2 Positivity

scholarly journals Trastuzumab Mechanism of Action; 20 Years of Research to Unravel a Dilemma

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3540
Author(s):  
Hamid Maadi ◽  
Mohammad Hasan Soheilifar ◽  
Won-Shik Choi ◽  
Abdolvahab Moshtaghian ◽  
Zhixiang Wang
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy ◽  
Cancer Patients ◽  
Mechanism Of Action ◽  
Mechanisms Of Action ◽  
Breast Cancer Patients ◽  
Her2 Positive ◽  
Her2 Positive Breast Cancer ◽  
Insight Into ◽  
Positive Breast Cancer

Trastuzumab as a first HER2-targeted therapy for the treatment of HER2-positive breast cancer patients was introduced in 1998. Although trastuzumab has opened a new avenue to treat patients with HER2-positive breast cancer and other types of cancer, some patients are not responsive or become resistant to this treatment. So far, several mechanisms have been suggested for the mode of action of trastuzumab; however, the findings regarding these mechanisms are controversial. In this review, we aimed to provide a detailed insight into the various mechanisms of action of trastuzumab.

scholarly journals Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Angela M. Jarrett ◽  
David A. Hormuth ◽  
Vikram Adhikarla ◽  
Prativa Sahoo ◽  
Daniel Abler ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Targeted Therapy ◽  
Treatment Response ◽  
Growth Factor Receptor ◽  
Patient Specific ◽  
Mathematical Framework ◽  
Breast Cancer Patients ◽  
Data Types ◽  
Her2 Breast Cancer ◽  
Mri Scans

AbstractWhile targeted therapies exist for human epidermal growth factor receptor 2 positive (HER2 +) breast cancer, HER2 + patients do not always respond to therapy. We present the results of utilizing a biophysical mathematical model to predict tumor response for two HER2 + breast cancer patients treated with the same therapeutic regimen but who achieved different treatment outcomes. Quantitative data from magnetic resonance imaging (MRI) and 64Cu-DOTA-trastuzumab positron emission tomography (PET) are used to estimate tumor density, perfusion, and distribution of HER2-targeted antibodies for each individual patient. MRI and PET data are collected prior to therapy, and follow-up MRI scans are acquired at a midpoint in therapy. Given these data types, we align the data sets to a common image space to enable model calibration. Once the model is parameterized with these data, we forecast treatment response with and without HER2-targeted therapy. By incorporating targeted therapy into the model, the resulting predictions are able to distinguish between the two different patient responses, increasing the difference in tumor volume change between the two patients by > 40%. This work provides a proof-of-concept strategy for processing and integrating PET and MRI modalities into a predictive, clinical-mathematical framework to provide patient-specific predictions of HER2 + treatment response.

Sign in / Sign up

Export Citation Format

Share Document