Literature DB >> 33833568

Approaching Neoadjuvant Therapy in the Management of Early-Stage Breast Cancer.

Saveri Bhattacharya1, Kristine Gade2, Tara Hyder3, Azadeh Nasrazadani2, Adam M Brufsky2.   

Abstract

Neoadjuvant therapy is integral to the treatment of early-stage breast cancer. Goals of treatment include surgical downstaging of the tumor, rendering inoperable tumors resectable, and de-escalating axillary surgery in those with clinically positive nodes. Additionally, response to treatment provides important prognostic information regarding risk of recurrence and guides future adjuvant treatment. Although chemotherapy serves as the backbone of neoadjuvant treatment, an increased understanding of the tumor's clinical course as well as its molecular and genetic make-up aids in individualizing treatment and developing novel agents. This review summarizes current clinical approaches and the future direction to the management of breast cancer patients in the neoadjuvant setting.
© 2021 Hyder et al.

Entities:  

Keywords:  breast-conserving surgery; neoadjuvant chemotherapy; neoadjuvant endocrine therapy; pCR

Year:  2021        PMID: 33833568      PMCID: PMC8019614          DOI: 10.2147/BCTT.S273058

Source DB:  PubMed          Journal:  Breast Cancer (Dove Med Press)        ISSN: 1179-1314


  4 in total

1.  TGF-β-Induced TMEPAI Promotes Epithelial-Mesenchymal Transition in Doxorubicin-Treated Triple-Negative Breast Cancer Cells via SMAD3 and PI3K/AKT Pathway Alteration.

Authors:  Bantari W K Wardhani; Melva Louisa; Yukihide Watanabe; Rianto Setiabudy; Mitsuyasu Kato
Journal:  Breast Cancer (Dove Med Press)       Date:  2021-09-21

2.  Psychological Distress, Coping Strategies, and Quality of Life in Breast Cancer Patients Under Neoadjuvant Therapy: Protocol of a Systematic Review.

Authors:  Majid Omari; Btissame Zarrouq; Lamiae Amaadour; Zineb Benbrahim; Achraf El Asri; Nawfel Mellas; Karima El Rhazi; Mohammed El Amine Ragala; Karima Halim
Journal:  Cancer Control       Date:  2022 Jan-Dec       Impact factor: 3.302

3.  Using the apparent diffusion coefficient histogram analysis to predict response to neoadjuvant chemotherapy in patients with breast cancer: comparison among three region of interest selection methods.

Authors:  Xiaochuan Geng; Dandan Zhang; Shiteng Suo; Jie Chen; Fang Cheng; Kebei Zhang; Qing Zhang; Lan Li; Yang Lu; Jia Hua; Zhiguo Zhuang
Journal:  Ann Transl Med       Date:  2022-03

4.  Machine Learning Models and Multiparametric Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.

Authors:  Carmen Herrero Vicent; Xavier Tudela; Paula Moreno Ruiz; Víctor Pedralva; Ana Jiménez Pastor; Daniel Ahicart; Silvia Rubio Novella; Isabel Meneu; Ángela Montes Albuixech; Miguel Ángel Santamaria; María Fonfria; Almudena Fuster-Matanzo; Santiago Olmos Antón; Eduardo Martínez de Dueñas
Journal:  Cancers (Basel)       Date:  2022-07-19       Impact factor: 6.575

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.