Literature DB >> 23905924

Interobserver concordance of Ki67 labeling index in breast cancer: Japan Breast Cancer Research Group Ki67 ring study.

Yoshiki Mikami1, Takayuki Ueno, Kenichi Yoshimura, Hitoshi Tsuda, Masafumi Kurosumi, Shinobu Masuda, Rie Horii, Masakazu Toi, Hironobu Sasano.   

Abstract

The standardized assessment of Ki67 labeling index (LI) is of clinical importance to identify patients with primary breast cancer who could benefit from chemotherapy. In this study, we evaluated the interobserver concordance of Ki67 LI assessment. Six surgical pathologists participated and all the slides were prepared from archival breast cancer tissues fixed in 10% buffered formalin for 24 h and stained with MIB-1. Three independent studies were conducted. In the first study, 30 stained slides were assessed using two different methods: the scoring system, with a positive rate scored from 1 (0-9%) to 10 (90-100%) by visual estimate; and the counting method, with approximately 1000 cells counted in hot spots. In the second study, 20 tumors with Ki67 LI 5-25% were assessed, and in the third study, 15 printed photographs of stained slides were assessed to avoid variations by selecting different fields. In study 1, the counting system (intraclass correlation coefficient [ICC], 0.66 [95% confidence interval 0.52-0.78]) demonstrated a better correlation than the scoring system (ICC, 0.57 [0.42-0.72]). In study 2, the assessment for Ki67 LI of 5-25% demonstrated a correlation (ICC, 0.68 [0.50-0.81]) similar to that of study 1 (unrestricted range of Ki67 LI). In study 3, the assessment of Ki67 LI by counting yielded a good concordance (ICC, 0.94 [0.88-0.97]). In conclusion, there was better concordance with the counting system, and concordance was high when the assessed field was predetermined, indicating that the selection of the evaluation area is critical for obtaining reproducible Ki67 LI in breast cancer.
© 2013 Japanese Cancer Association.

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Year:  2013        PMID: 23905924     DOI: 10.1111/cas.12245

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  24 in total

1.  Reproducibility and Prognostic Potential of Ki-67 Proliferation Index when Comparing Digital-Image Analysis with Standard Semi-Quantitative Evaluation in Breast Cancer.

Authors:  Balázs Ács; Lilla Madaras; Kristóf Attila Kovács; Tamás Micsik; Anna-Mária Tőkés; Balázs Győrffy; Janina Kulka; Attila Marcell Szász
Journal:  Pathol Oncol Res       Date:  2017-04-11       Impact factor: 3.201

2.  An international study to increase concordance in Ki67 scoring.

Authors:  Mei-Yin C Polley; Samuel C Y Leung; Dongxia Gao; Mauro G Mastropasqua; Lila A Zabaglo; John M S Bartlett; Lisa M McShane; Rebecca A Enos; Sunil S Badve; Anita L Bane; Signe Borgquist; Susan Fineberg; Ming-Gang Lin; Allen M Gown; Dorthe Grabau; Carolina Gutierrez; Judith C Hugh; Takuya Moriya; Yasuyo Ohi; C Kent Osborne; Frédérique M Penault-Llorca; Tammy Piper; Peggy L Porter; Takashi Sakatani; Roberto Salgado; Jane Starczynski; Anne-Vibeke Lænkholm; Giuseppe Viale; Mitch Dowsett; Daniel F Hayes; Torsten O Nielsen
Journal:  Mod Pathol       Date:  2015-02-20       Impact factor: 7.842

Review 3.  Ki67--no evidence for its use in node-positive breast cancer.

Authors:  Fabrice Andre; Monica Arnedos; Aicha Goubar; Amal Ghouadni; Suzette Delaloge
Journal:  Nat Rev Clin Oncol       Date:  2015-03-17       Impact factor: 66.675

4.  Digital quantification of KI-67 in breast cancer.

Authors:  María Del Rosario Taco Sanchez; Teresa Soler-Monsó; Anna Petit; Juan Azcarate; Alba Lasheras; Carmen Artal; Miguel Gil; Catalina Falo; María Jesús Pla; Xavier Matias-Guiu
Journal:  Virchows Arch       Date:  2018-11-21       Impact factor: 4.064

Review 5.  Neoadjuvant Trials in ER+ Breast Cancer: A Tool for Acceleration of Drug Development and Discovery.

Authors:  Angel L Guerrero-Zotano; Carlos L Arteaga
Journal:  Cancer Discov       Date:  2017-05-11       Impact factor: 39.397

6.  An interobserver reproducibility analysis of Ki67 visual assessment in breast cancer.

Authors:  Ruohong Shui; Baohua Yu; Rui Bi; Fei Yang; Wentao Yang
Journal:  PLoS One       Date:  2015-05-01       Impact factor: 3.240

7.  Randomized trial of preoperative docetaxel with or without capecitabine after 4 cycles of 5-fluorouracil– epirubicin–cyclophosphamide (FEC) in early-stage breast cancer: exploratory analyses identify Ki67 as a predictive biomarker for response to neoadjuvant chemotherapy.

Authors:  S Ohno; L W C Chow; N Sato; N Masuda; H Sasano; F Takahashi; H Bando; H Iwata; T Morimoto; S Kamigaki; T Nakayama; S Nakamura; K Kuroi; K Aogi; M Kashiwaba; H Yamashita; K Hisamatsu; Y Ito; Y Yamamoto; T Ueno; E Fakhrejahani; N Yoshida; M Toi
Journal:  Breast Cancer Res Treat       Date:  2013-11       Impact factor: 4.872

8.  Automated Selection of Hotspots (ASH): enhanced automated segmentation and adaptive step finding for Ki67 hotspot detection in adrenal cortical cancer.

Authors:  Hao Lu; Thomas G Papathomas; David van Zessen; Ivo Palli; Ronald R de Krijger; Peter J van der Spek; Winand N M Dinjens; Andrew P Stubbs
Journal:  Diagn Pathol       Date:  2014-11-25       Impact factor: 2.644

9.  Optimal Ki67 cut-off for luminal breast cancer prognostic evaluation: a large case series study with a long-term follow-up.

Authors:  Sara Bustreo; Simona Osella-Abate; Paola Cassoni; Michela Donadio; Mario Airoldi; Fulvia Pedani; Mauro Papotti; Anna Sapino; Isabella Castellano
Journal:  Breast Cancer Res Treat       Date:  2016-05-07       Impact factor: 4.872

10.  High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium.

Authors:  Mustapha Abubakar; William J Howat; Frances Daley; Lila Zabaglo; Leigh-Anne McDuffus; Fiona Blows; Penny Coulson; H Raza Ali; Javier Benitez; Roger Milne; Herman Brenner; Christa Stegmaier; Arto Mannermaa; Jenny Chang-Claude; Anja Rudolph; Peter Sinn; Fergus J Couch; Rob A E M Tollenaar; Peter Devilee; Jonine Figueroa; Mark E Sherman; Jolanta Lissowska; Stephen Hewitt; Diana Eccles; Maartje J Hooning; Antoinette Hollestelle; John Wm Martens; Carolien Hm van Deurzen; Manjeet K Bolla; Qin Wang; Michael Jones; Minouk Schoemaker; Annegien Broeks; Flora E van Leeuwen; Laura Van't Veer; Anthony J Swerdlow; Nick Orr; Mitch Dowsett; Douglas Easton; Marjanka K Schmidt; Paul D Pharoah; Montserrat Garcia-Closas
Journal:  J Pathol Clin Res       Date:  2016-04-06
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