Literature DB >> 25106660

Survival outcome and reduction rate of Ki-67 between pre- and post-neoadjuvant chemotherapy in breast cancer patients with non-pCR.

Nobuaki Matsubara1, Hirofumi Mukai, Mariko Masumoto, Masaoki Sasaki, Yoichi Naito, Satoshi Fujii, Noriaki Wada.   

Abstract

The research question of this investigation is whether the reduction rate of Ki-67 after neoadjuvant chemotherapy (NAC) could indicate a survival in patients with non-pCR. A total of 455 patients had received NAC, and subsequent surgery was analyzed retrospectively. Patients with non-pCR were divided into three subgroups according to Ki-67 change: High-reduction (the absolute value of Ki-67 was reduced by >80 % compared with that prior to NAC), Low-reduction (the absolute value of Ki-67 was reduced by 0-80 % compared with that prior to NAC), and Increase group (the absolute value of Ki-67 was increased compared with that prior to NAC). The relapse-free survival (RFS) rates were compared among subgroups. pCR was achieved in 93 patients (20.4 %). In patients with non-pCR, the median reduction rate of Ki-67 was 60 %. A total of 15 % of patients were in the High-reduction, 63 % in the Low-reduction, and 22 % in the Increase group. The median follow-up period was 64.5 months. The 5-year RFS rates among the three groups were significantly different (p < 0.0001), and the differences were also observed in the HER2 (p = 0.033), triple-negative (p = 0.034), and luminal-like subtypes (p = 0.001). Patients in the High-reduction group showed comparable RFS to that of patients with pCR (p = 0.363). In patients with non-pCR, the reduction rate of Ki-67 after NAC significantly predicted RFS regardless of cancer subtypes. Therefore, patients who are non-pCR but who achieve a high reduction of Ki-67 can be expected to have a favorable prognosis similar to that of patients with pCR.

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Year:  2014        PMID: 25106660     DOI: 10.1007/s10549-014-3084-6

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


  14 in total

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Authors:  Paula Cabrera-Galeana; Wendy Muñoz-Montaño; Fernando Lara-Medina; Alberto Alvarado-Miranda; Victor Pérez-Sánchez; Cynthia Villarreal-Garza; R Marisol Quintero; Fany Porras-Reyes; Enrique Bargallo-Rocha; Ignacio Del Carmen; Alejandro Mohar; Oscar Arrieta
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2.  External verification and improvement of the Neo-Bioscore staging system in a Chinese cohort.

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Journal:  Ann Transl Med       Date:  2022-06

3.  Prognostic Impact of Ki-67 Change in Locally Advanced and Early Breast Cancer after Neoadjuvant Chemotherapy: A Single Institution Experience.

Authors:  Mirco Pistelli; Filippo Merloni; Sonia Crocetti; Laura Scortichini; Laura Tassone; Luca Cantini; Veronica Agostinelli; Lucia Bastianelli; Agnese Savini; Rossana Berardi
Journal:  J Oncol       Date:  2021-05-04       Impact factor: 4.375

4.  Clinical significance and prognostic value of receptor conversion in hormone receptor positive breast cancers after neoadjuvant chemotherapy.

Authors:  Libo Yang; Xiaorong Zhong; Tianjie Pu; Yan Qiu; Feng Ye; Hong Bu
Journal:  World J Surg Oncol       Date:  2018-03-07       Impact factor: 2.754

5.  Triple-Negative Breast Cancer: Assessing the Role of Immunohistochemical Biomarkers on Neoadjuvant Treatment.

Authors:  Jesse Lopes da Silva; Fabiana Resende Rodrigues; Guilherme Gomes de Mesquita; Priscila Valverde Fernandes; Luiz Claudio Santos Thuler; Andreia Cristina de Melo
Journal:  Breast Cancer (Dove Med Press)       Date:  2021-01-11

6.  Ki67 Index Changes and Tumor-Infiltrating Lymphocyte Levels Impact the Prognosis of Triple-Negative Breast Cancer Patients With Residual Disease After Neoadjuvant Chemotherapy.

Authors:  Yihua Wang; Beige Zong; Yu Yu; Yu Wang; Zhenrong Tang; Rui Chen; Man Huang; Shengchun Liu
Journal:  Front Oncol       Date:  2021-06-21       Impact factor: 6.244

7.  Value of Ki-67 expression in triple-negative breast cancer before and after neoadjuvant chemotherapy with weekly paclitaxel plus carboplatin.

Authors:  Ruo-Xi Wang; Sheng Chen; Xi Jin; Zhi-Ming Shao
Journal:  Sci Rep       Date:  2016-07-18       Impact factor: 4.379

8.  Correlation between DCE-MRI radiomics features and Ki-67 expression in invasive breast cancer.

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Journal:  Oncol Lett       Date:  2018-08-06       Impact factor: 2.967

9.  Can We Hang Our Hats on One Percent?

Authors:  Nathalie LeVasseur; Karen A Gelmon
Journal:  Oncologist       Date:  2018-05-04

Review 10.  Predictive and Prognostic Roles of Pathological Indicators for Patients with Breast Cancer on Neoadjuvant Chemotherapy.

Authors:  Xinyan Li; Mozhi Wang; Mengshen Wang; Xueting Yu; Jingyi Guo; Tie Sun; Litong Yao; Qiang Zhang; Yingying Xu
Journal:  J Breast Cancer       Date:  2019-11-04       Impact factor: 3.588

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