Literature DB >> 31471838

Prognostic value of receptor status conversion following neoadjuvant chemotherapy in breast cancer patients: a systematic review and meta-analysis.

Chao Li1,2, Hongwei Fan1, Qian Xiang1, Ling Xu3, Zhuo Zhang1, Qianxin Liu1, Tongtong Zhang2, Jinjie Ling4, Ying Zhou1, Xia Zhao1, Yimin Cui5.   

Abstract

Biomarkers of breast cancer such as hormone receptors (HR) and human epidermal growth factor 2 (HER2) can be altered after neoadjuvant chemotherapy (NAC). However, whether the conversion of these receptors affects the prognosis of patients remains to be determined. We sought to evaluate the prognostic value of HR and HER2 receptors before and after NAC and to analyze their clinical implications. Relevant studies were used to calculate the pooled hazard ratios, 95% confidence interval (95% CI). This meta-analysis included eight studies with 2847 patients. Compared to patients with HR+ → +, patients with HR+ → - have shorter disease free survival (DFS) (hazard ratio = 2.64, 95% CI 1.86-3.75) and overall survival (OS) (hazard ratio = 2.99, 95% CI 1.97-4.54). Furthermore, patients with HR- → + tend to achieve better DFS (hazard ratio = 0.83, 95% CI 0.60-1.17) compared to patients with HR- → -. Patients with HR- → + gain better OS (hazard ratio = 0.67, 95% CI 0.46-0.99) compared to patients exhibiting HR- → -. When comparing patients with HER2+ → - to patients with HER2+ → +, patients with HER2+ → - tended to achieve better DFS (hazard ratio = 1.65, 95% CI 1.08-2.53) though results for OS (hazard ratio = 1.16, 95% CI 0.54-2.49) were not statistically significant. Our data strongly support the need for redetection of HR and HER2 receptor status of surgical sample following neoadjuvant therapy. Changes in HR status induced by NAC can be used as a prognostic factor in breast cancer patients for predicting both OS and DFS. HER2 change may also be valuable for predicting prognosis. Further research should explore therapeutic strategies for those presenting receptor status conversion.

Entities:  

Keywords:  Breast cancer; Neoadjuvant chemotherapy; Prognosis; Receptor

Mesh:

Substances:

Year:  2019        PMID: 31471838     DOI: 10.1007/s10549-019-05421-7

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Alterations in Breast Cancer Biomarkers Following Neoadjuvant Therapy.

Authors:  Srivarshini Cherukupalli Mohan; Sarah Walcott-Sapp; Minna K Lee; Marissa K Srour; Sungjin Kim; Farin F Amersi; Armando E Giuliano; Alice P Chung
Journal:  Ann Surg Oncol       Date:  2021-03-21       Impact factor: 5.344

2.  Prognostic Value of Receptor Change After Neoadjuvant Chemotherapy in Breast Cancer Patients.

Authors:  Özlem Özdemir; Baha Zengel; Demet Kocatepe Çavdar; Cengiz Yılmaz; Raika Durusoy
Journal:  Eur J Breast Health       Date:  2022-04-01

3.  Effect of neoadjuvant therapy on breast cancer biomarker profile.

Authors:  Laura Rey-Vargas; Juan Carlos Mejía-Henao; María Carolina Sanabria-Salas; Silvia J Serrano-Gomez
Journal:  BMC Cancer       Date:  2020-07-18       Impact factor: 4.430

Review 4.  Prognostic significance of receptor expression discordance between primary and recurrent breast cancers: a meta-analysis.

Authors:  Sho Shiino; Graham Ball; Binafsha M Syed; Sasagu Kurozumi; Andrew R Green; Hitoshi Tsuda; Shin Takayama; Akihiko Suto; Emad A Rakha
Journal:  Breast Cancer Res Treat       Date:  2021-10-06       Impact factor: 4.872

5.  Impact of hormone receptor, HER2, and Ki-67 status conversions on survival after neoadjuvant chemotherapy in breast cancer patients: a retrospective study.

Authors:  Yuhai Chen; Xiaoyan Liu; Keda Yu; Xiangyu Sun; Shouping Xu; Pengfei Qiu; Zhidong Lv; Xinwen Zhang; Ayao Guo; Yingying Xu
Journal:  Ann Transl Med       Date:  2022-01

6.  HER2 changes to positive after neoadjuvant chemotherapy in breast cancer: A case report and literature review.

Authors:  Luo Wang; Qi Jiang; Meng-Ye He; Peng Shen
Journal:  World J Clin Cases       Date:  2022-01-07       Impact factor: 1.337

7.  A hierarchical approach to combine histological grade and immunohistochemical factors to identify high-risk luminal breast cancers.

Authors:  Felipe Andrés Cordero da Luz; Eduarda da Costa Marinho; Camila Piqui Nascimento; Lara de Andrade Marques; Patrícia Ferreira Ribeiro Delfino; Rafael Mathias Antonioli; Rogério Agenor de Araújo; Marcelo José Barbosa Silva
Journal:  Ecancermedicalscience       Date:  2022-05-04

8.  Breast-Gynaecological & Immuno-Oncology International Cancer Conference (BGICC) Consensus and Recommendations for the Management of Triple-Negative Breast Cancer.

Authors:  Hesham Elghazaly; Hope S Rugo; Hamdy A Azim; Sandra M Swain; Banu Arun; Matti Aapro; Edith A Perez; Benjamin O Anderson; Frederique Penault-Llorca; Pierfranco Conte; Nagi S El Saghir; Cheng-Har Yip; Marwan Ghosn; Philip Poortmans; Mohamed A Shehata; Armando E Giuliano; Jessica W T Leung; Valentina Guarneri; Joseph Gligorov; Bahadir M Gulluoglu; Hany Abdel Aziz; Mona Frolova; Mohamed Sabry; Charles M Balch; Roberto Orecchia; Heba M El-Zawahry; Sana Al-Sukhun; Khaled Abdel Karim; Alaa Kandil; Ruslan M Paltuev; Meteb Foheidi; Mohamed El-Shinawi; Manal ElMahdy; Omalkhair Abulkhair; Wentao Yang; Adel T Aref; Joaira Bakkach; Nermean Bahie Eldin; Hagar Elghazawy
Journal:  Cancers (Basel)       Date:  2021-05-08       Impact factor: 6.639

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.