Literature DB >> 32147701

Adjuvant and neoadjuvant therapy for breast cancer.

Tadahiko Shien1,2, Hiroji Iwata1,2.   

Abstract

Systemic therapies for operable breast cancer patients have improved outcomes and have thus become standard treatments. Recently, new molecular target drugs and regimens are being developed based on the predicted sensitivity for specific breast cancer histological types. Systemic therapy is selected according to recurrence risk, with the treatment for low-risk patients being de-escalated, while high-risk patients receive aggressive systemic treatment with an adequate dose and duration. Neoadjuvant systemic therapy has a different aim. The efficacy of systemic therapies, based on the sensitivities to drugs, is supported by improvements in the rate of breast-conserving therapy. The response to neoadjuvant systemic therapy is the most important factor for predicting outcomes and selecting the optimal adjuvant therapy. Novel biological markers unique to individual patients allow appropriate targeted therapy, which can achieve optimal efficacy.
© The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  adjuvant; breast cancer; neoadjuvant

Mesh:

Substances:

Year:  2020        PMID: 32147701     DOI: 10.1093/jjco/hyz213

Source DB:  PubMed          Journal:  Jpn J Clin Oncol        ISSN: 0368-2811            Impact factor:   3.019


  23 in total

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Authors:  Chenqi Wang; Guang Tan; Jie Zhang; Bin Fan; Yunlong Chen; Dan Chen; Lili Yang; Xiang Chen; Qingzhu Duan; Feiliyan Maimaiti; Jian Du; Zhikun Lin; Jiangning Gu; Haifeng Luo
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

2.  Dosimetric comparison between intensity-modulated radiotherapy and volumetric-modulated arc therapy in patients of left-sided breast cancer treated with modified radical mastectomy: CONSORT.

Authors:  Rui Wang; Jun Shen; Huanhuan Yan; Xitao Gao; Tianfu Dong; Shuqin Li; Peishun Wang; Jun Zhou
Journal:  Medicine (Baltimore)       Date:  2022-01-14       Impact factor: 1.817

3.  Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy.

Authors:  Li Chen; Yihang Qi; Xiangyi Kong; Zhaohui Su; Zhongzhao Wang; Xiangyu Wang; Yaying Du; Yi Fang; Xingrui Li; Jing Wang
Journal:  Front Nutr       Date:  2022-01-13

4.  Microarray analysis of breast cancer gene expression profiling in response to 2-deoxyglucose, metformin, and glucose starvation.

Authors:  Rita Aoun; Christopher El Hadi; Roula Tahtouh; Rita El Habre; George Hilal
Journal:  Cancer Cell Int       Date:  2022-03-19       Impact factor: 5.722

Review 5.  Actively Targeted Nanomedicines in Breast Cancer: From Pre-Clinal Investigation to Clinic.

Authors:  Ana Isabel Fraguas-Sánchez; Irene Lozza; Ana Isabel Torres-Suárez
Journal:  Cancers (Basel)       Date:  2022-02-25       Impact factor: 6.639

Review 6.  Immunostimulatory Properties of Chemotherapy in Breast Cancer: From Immunogenic Modulation Mechanisms to Clinical Practice.

Authors:  Jinguo Zhang; Shuaikang Pan; Chen Jian; Li Hao; Jie Dong; Qingqing Sun; Hongwei Jin; Xinghua Han
Journal:  Front Immunol       Date:  2022-01-05       Impact factor: 7.561

7.  Evaluation of Serum MicroRNAs (miR-9-5p, miR-17-5p, and miR-148a-3p) as Potential Biomarkers of Breast Cancer.

Authors:  Xiaoqin Li; Xinyue Tang; Kunsong Li; Ling Lu
Journal:  Biomed Res Int       Date:  2022-01-24       Impact factor: 3.411

8.  Preoperative Breast Immune Prognostic Index as Prognostic Factor Predicts the Clinical Outcomes of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Authors:  Li Chen; Xiangyi Kong; Shaolong Huang; Zhaohui Su; Mengliu Zhu; Yi Fang; Lin Zhang; Xingrui Li; Jing Wang
Journal:  Front Immunol       Date:  2022-03-07       Impact factor: 7.561

9.  Development of a Novel Prognostic Signature Based on Antigen Processing and Presentation in Patients with Breast Cancer.

Authors:  Aoshuang Qi; Mingyi Ju; Yinfeng Liu; Jia Bi; Qian Wei; Miao He; Minjie Wei; Lin Zhao
Journal:  Pathol Oncol Res       Date:  2021-04-01       Impact factor: 3.201

10.  Texture Analysis of DCE-MRI Intratumoral Subregions to Identify Benign and Malignant Breast Tumors.

Authors:  Bin Zhang; Lirong Song; Jiandong Yin
Journal:  Front Oncol       Date:  2021-07-08       Impact factor: 6.244

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