Literature DB >> 20878101

Chemotherapy for breast cancer (Review).

M S U Hassan1, J Ansari, D Spooner, S A Hussain.   

Abstract

The use of cytotoxic chemotherapy in both advanced and early stage breast cancer has made significant progress in the last 10 years with several landmark studies identifying clear survival benefits for newer therapies. In spite of these developments the optimal approach for any specific patient can not be determined from a literature review or decision-making algorithm alone. Treatment choices are predominantly based on practice determined by individual or collective experience and the historical development of treatment within a locality. The improvement in the understanding of the molecular biological basis of breast cancer provides possible targets for novel therapies. Personalised therapies for breast cancer based on the molecular characteristics of the tumour could improve the risk: benefit ratio of current therapies. Increased improvements in the use of a panel of biomarkers will thus not only move us towards tailored therapies but will also spare a group of patients that do not benefit from adjuvant chemotherapy. At the same time a better understanding of tumour biology will also streamline the development of new regimens for those who are unlikely to benefit from existing drugs. This review will focus on the evidence for the use of chemotherapy and highlight advances in chemotherapy treatments with the addition of new and novel drugs marching into our clinics as standard treatments based on evidence from clinical trials and from a better understanding of tumour biology that has transformed the outlook in breast cancer in both the adjuvant and metastatic setting.

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Year:  2010        PMID: 20878101     DOI: 10.3892/or_00000963

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  44 in total

1.  Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer.

Authors:  Pedro M Enriquez-Navas; Yoonseok Kam; Tuhin Das; Sabrina Hassan; Ariosto Silva; Parastou Foroutan; Epifanio Ruiz; Gary Martinez; Susan Minton; Robert J Gillies; Robert A Gatenby
Journal:  Sci Transl Med       Date:  2016-02-24       Impact factor: 17.956

2.  ER-/ER+ breast cancer cell lines exhibited different resistance to paclitaxel through pulse selection.

Authors:  Wei Ying; Sumeng Wang; Junfeng Shi; Yujie Sun
Journal:  Med Oncol       Date:  2011-03-12       Impact factor: 3.064

3.  A microfluidic platform for drug screening in a 3D cancer microenvironment.

Authors:  Hardik J Pandya; Karan Dhingra; Devbalaji Prabhakar; Vineethkrishna Chandrasekar; Siva Kumar Natarajan; Anish S Vasan; Ashish Kulkarni; Hadi Shafiee
Journal:  Biosens Bioelectron       Date:  2017-03-27       Impact factor: 10.618

Review 4.  Breast cancer: insights in disease and influence of drug methotrexate.

Authors:  Vítor Yang; Maria João Gouveia; Joana Santos; Beate Koksch; Irina Amorim; Fátima Gärtner; Nuno Vale
Journal:  RSC Med Chem       Date:  2020-05-28

5.  Decreased expression of miR-204 is associated with poor prognosis in patients with breast cancer.

Authors:  Weidong Li; Xuejun Jin; Qianbing Zhang; Gong Zhang; Xubin Deng; Lei Ma
Journal:  Int J Clin Exp Pathol       Date:  2014-05-15

6.  Association of CYP2C19*2 and ALDH1A1*1/*2 variants with disease outcome in breast cancer patients: results of a global screening array.

Authors:  Sourav Kalra; Raman Preet Kaur; Abhilash Ludhiadch; Gowhar Shafi; Rajesh Vashista; Raj Kumar; Anjana Munshi
Journal:  Eur J Clin Pharmacol       Date:  2018-06-24       Impact factor: 2.953

7.  microRNA-497 inhibits invasion and metastasis of colorectal cancer cells by targeting vascular endothelial growth factor-A.

Authors:  Yanyan Qiu; Hui Yu; Xiaojing Shi; Ke Xu; Qingfeng Tang; Bo Liang; Songjiao Hu; Yijie Bao; Jianhua Xu; Jie Cai; Wen Peng; Qin Cao; Peihao Yin
Journal:  Cell Prolif       Date:  2016-02-03       Impact factor: 6.831

8.  MicroRNA-497 and bufalin act synergistically to inhibit colorectal cancer metastasis.

Authors:  Yan-yan Qiu; Qiang Hu; Qing-feng Tang; Wen Feng; Song-jiao Hu; Bo Liang; Wen Peng; Pei-hao Yin
Journal:  Tumour Biol       Date:  2013-12-29

9.  KMT2C is a potential biomarker of prognosis and chemotherapy sensitivity in breast cancer.

Authors:  Xinhua Liu; Rongfang Qiu; Min Xu; Miaomiao Meng; Siyu Zhao; Jiansong Ji; Yang Yang
Journal:  Breast Cancer Res Treat       Date:  2021-07-08       Impact factor: 4.872

10.  Impact of protocol change on individual factors related to course of adverse reactions to chemotherapy for breast cancer.

Authors:  Daniela Polessa Paula; Vanessa I do Brasil Costa; Rosane V Jorge; Flávio F Nobre
Journal:  Support Care Cancer       Date:  2019-05-06       Impact factor: 3.603

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