Literature DB >> 26622743

Associations and indications of Ki67 expression with clinicopathological parameters and molecular subtypes in invasive breast cancer: A population-based study.

Jinzhong Sun1, Chuang Chen2, Wen Wei2, Hongmei Zheng3, Jingping Yuan4, Y I Tu2, Feng Yao2, Lijun Wang2, Xiaoli Yao2, Juanjuan Li2, Yan Li5, Shengrong Sun2.   

Abstract

Ki67 has potential prognostic and predictive values for breast cancer patients, and has become an important biomarker in routine clinical practice. The aims of the present study were to investigate the distribution of Ki67 expression and its correlation with other clinicopathological parameters in central China. In total, 1,259 patients with newly-diagnosed invasive breast cancer were included in the present study. The clinical information was obtained from the electronic medical records. The expression levels of Ki67, estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (HER2) were detected by immunohistochemical analysis. The associations between Ki67 scores and other prognostic factors were evaluated as continuous and categorical variables. The mean value of the Ki67 scores of all patients was 31%. In total, ~36% (456/1,259) of the patients demonstrated a low expression of Ki67. A statistically significant correlation was identified between the mean Ki67 scores and the lymph node status, tumor grade, ER, PR and HER2 status, and clinical stage or molecular subtypes (all P<0.001). When Ki67 was categorized into high (>14%) and low (≤14%) level groups, the χ2 test was used to verify these results. The Ki67 scores demonstrated no statistically significant differences between the HER2-positive (non-luminal) and three negative subtypes, with the exception of patients with a tumor size of >2 cm (P=0.02). In conclusion, the results revealed the presence of significant correlations between Ki67 and other clinicopathological parameters.

Entities:  

Keywords:  Ki67; breast cancer; clinicopathological parameters; molecular subtypes

Year:  2015        PMID: 26622743      PMCID: PMC4533668          DOI: 10.3892/ol.2015.3461

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  25 in total

1.  Immunobiochemical and molecular biologic characterization of the cell proliferation-associated nuclear antigen that is defined by monoclonal antibody Ki-67.

Authors:  J Gerdes; L Li; C Schlueter; M Duchrow; C Wohlenberg; C Gerlach; I Stahmer; S Kloth; E Brandt; H D Flad
Journal:  Am J Pathol       Date:  1991-04       Impact factor: 4.307

2.  Immunohistochemical expression of p53, nm23-HI, Ki67 and DNA ploidy: correlation with lymph node status and other clinical pathologic parameters in breast cancer.

Authors:  C Midulla; P De Iorio; C Nagar; T Pisani; M Cenci; C Valli; I Nofroni; A Vecchione
Journal:  Anticancer Res       Date:  1999 Sep-Oct       Impact factor: 2.480

3.  Production of a mouse monoclonal antibody reactive with a human nuclear antigen associated with cell proliferation.

Authors:  J Gerdes; U Schwab; H Lemke; H Stein
Journal:  Int J Cancer       Date:  1983-01-15       Impact factor: 7.396

4.  Association of mammographic density with the proliferation marker Ki-67 in a cohort of patients with invasive breast cancer.

Authors:  Katharina Heusinger; Sebastian M Jud; Lothar Häberle; Carolin C Hack; Peter A Fasching; Martina Meier-Meitinger; Michael P Lux; Carsten Hagenbeck; Christian R Loehberg; Thomas Wittenberg; Claudia Rauh; Florian Wagner; Michael Uder; Arndt Hartmann; Rüdiger Schulz-Wendtland; Matthias W Beckmann; David L Wachter
Journal:  Breast Cancer Res Treat       Date:  2012-08-31       Impact factor: 4.872

Review 5.  Ki67 in breast cancer: prognostic and predictive potential.

Authors:  Rinat Yerushalmi; Ryan Woods; Peter M Ravdin; Malcolm M Hayes; Karen A Gelmon
Journal:  Lancet Oncol       Date:  2010-02       Impact factor: 41.316

6.  Histological grading of breast carcinomas: a study of interobserver agreement.

Authors:  P Robbins; S Pinder; N de Klerk; H Dawkins; J Harvey; G Sterrett; I Ellis; C Elston
Journal:  Hum Pathol       Date:  1995-08       Impact factor: 3.466

7.  Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group.

Authors:  Mitch Dowsett; Torsten O Nielsen; Roger A'Hern; John Bartlett; R Charles Coombes; Jack Cuzick; Matthew Ellis; N Lynn Henry; Judith C Hugh; Tracy Lively; Lisa McShane; Soon Paik; Frederique Penault-Llorca; Ljudmila Prudkin; Meredith Regan; Janine Salter; Christos Sotiriou; Ian E Smith; Giuseppe Viale; Jo Anne Zujewski; Daniel F Hayes
Journal:  J Natl Cancer Inst       Date:  2011-09-29       Impact factor: 13.506

8.  Strategies for subtypes--dealing with the diversity of breast cancer: highlights of the St. Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2011.

Authors:  A Goldhirsch; W C Wood; A S Coates; R D Gelber; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2011-06-27       Impact factor: 32.976

9.  Assessment of the new proliferation marker MIB1 in breast carcinoma using image analysis: associations with other prognostic factors and survival.

Authors:  S E Pinder; P Wencyk; D M Sibbering; J A Bell; C W Elston; R Nicholson; J F Robertson; R W Blamey; I O Ellis
Journal:  Br J Cancer       Date:  1995-01       Impact factor: 7.640

10.  Ki-67 as prognostic marker in early breast cancer: a meta-analysis of published studies involving 12,155 patients.

Authors:  E de Azambuja; F Cardoso; G de Castro; M Colozza; M S Mano; V Durbecq; C Sotiriou; D Larsimont; M J Piccart-Gebhart; M Paesmans
Journal:  Br J Cancer       Date:  2007-04-24       Impact factor: 7.640

View more
  8 in total

1.  Breast cancer subtype discrimination using standardized 4-IHC and digital image analysis.

Authors:  Marina Gándara-Cortes; Ángel Vázquez-Boquete; Beatriz Fernández-Rodríguez; Patricia Viaño; Dora Ínsua; Alejandro Seoane-Seoane; Francisco Gude; Rosalía Gallego; Máximo Fraga; José R Antúnez; Teresa Curiel; Eva Pérez-López; Tomás García-Caballero
Journal:  Virchows Arch       Date:  2017-08-20       Impact factor: 4.064

2.  The use of automated Ki67 analysis to predict Oncotype DX risk-of-recurrence categories in early-stage breast cancer.

Authors:  Satbir Singh Thakur; Haocheng Li; Angela M Y Chan; Roxana Tudor; Gilbert Bigras; Don Morris; Emeka K Enwere; Hua Yang
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

3.  Identification of recurrent BRCA1 mutation and its clinical relevance in Chinese Triple-negative breast cancer cohort.

Authors:  Xiaoran Liu; Huiping Li; Bin Shao; Jianmin Wu; Weiyao Kong; Guohong Song; Hanfang Jiang; Jing Wang; Fengling Wan
Journal:  Cancer Med       Date:  2017-01-30       Impact factor: 4.452

4.  Prognostic Significance of Reduction in Ki67 Index After Neoadjuvant Chemotherapy in Patients With Breast Cancer in Kerman Between 2009 And 2014.

Authors:  Vahid Moazed; Elham Jafari; Behjat Kalantari Khandani; Ali Nemati; Alale Roozdar; Seyyed Amir Ben Razavi
Journal:  Iran J Pathol       Date:  2018

5.  Significant inter- and intra-laboratory variation in grading of invasive breast cancer: A nationwide study of 33,043 patients in the Netherlands.

Authors:  Carmen van Dooijeweert; Paul J van Diest; Stefan M Willems; Chantal C H J Kuijpers; Elsken van der Wall; Lucy I H Overbeek; Ivette A G Deckers
Journal:  Int J Cancer       Date:  2019-04-29       Impact factor: 7.396

6.  Clinicopathological features and survival of early stage breast cancer in northwest China: A population-based retrospective study of 1287 patients.

Authors:  Shuting Li; Xiangtang Wang; Jiao Yang; Meng Lv; Xiao Zhang; Chunli Li; Lingxiao Zhang; Yanwei Shen; Xiaoman Zhang; Zheling Chen; Fan Wang; Xin Wang; Dan Li; Min Yi; Jin Yang
Journal:  Thorac Cancer       Date:  2017-10-04       Impact factor: 3.500

7.  Is nab-paclitaxel better than conventional taxanes as neoadjuvant therapy for breast cancer? A meta-analysis.

Authors:  Yong Li; Xiaoju Lu; Qimou Lin; Weiwen Li
Journal:  J Int Med Res       Date:  2020-08       Impact factor: 1.671

Review 8.  Grading of invasive breast carcinoma: the way forward.

Authors:  C van Dooijeweert; P J van Diest; I O Ellis
Journal:  Virchows Arch       Date:  2021-07-01       Impact factor: 4.535

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.