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Acs B, Leung SCY, Kidwell KM, Arun I, Augulis R, Badve SS, Bai Y, Bane AL, Bartlett JMS, Bayani J, Bigras G, Blank A, Buikema H, Chang MC, Dietz RL, Dodson A, Fineberg S, Focke CM, Gao D, Gown AM, Gutierrez C, Hartman J, Kos Z, Lænkholm AV, Laurinavicius A, Levenson RM, Mahboubi-Ardakani R, Mastropasqua MG, Nofech-Mozes S, Osborne CK, Penault-Llorca FM, Piper T, Quintayo MA, Rau TT, Reinhard S, Robertson S, Salgado R, Sugie T, van der Vegt B, Viale G, Zabaglo LA, Hayes DF, Dowsett M, Nielsen TO, Rimm DL. Systematically higher Ki67 scores on core biopsy samples compared to corresponding resection specimen in breast cancer: a multi-operator and multi-institutional study. Mod Pathol 2022; 35:1362-1369. [PMID: 35729220 PMCID: PMC9514990 DOI: 10.1038/s41379-022-01104-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/11/2022] [Accepted: 05/05/2022] [Indexed: 02/06/2023]
Abstract
Ki67 has potential clinical importance in breast cancer but has yet to see broad acceptance due to inter-laboratory variability. Here we tested an open source and calibrated automated digital image analysis (DIA) platform to: (i) investigate the comparability of Ki67 measurement across corresponding core biopsy and resection specimen cases, and (ii) assess section to section differences in Ki67 scoring. Two sets of 60 previously stained slides containing 30 core-cut biopsy and 30 corresponding resection specimens from 30 estrogen receptor-positive breast cancer patients were sent to 17 participating labs for automated assessment of average Ki67 expression. The blocks were centrally cut and immunohistochemically (IHC) stained for Ki67 (MIB-1 antibody). The QuPath platform was used to evaluate tumoral Ki67 expression. Calibration of the DIA method was performed as in published studies. A guideline for building an automated Ki67 scoring algorithm was sent to participating labs. Very high correlation and no systematic error (p = 0.08) was found between consecutive Ki67 IHC sections. Ki67 scores were higher for core biopsy slides compared to paired whole sections from resections (p ≤ 0.001; median difference: 5.31%). The systematic discrepancy between core biopsy and corresponding whole sections was likely due to pre-analytical factors (tissue handling, fixation). Therefore, Ki67 IHC should be tested on core biopsy samples to best reflect the biological status of the tumor.
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Affiliation(s)
- Balazs Acs
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden.
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
| | | | - Kelley M Kidwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Indu Arun
- Tata Medical Center, Kolkata, West Bengal, India
| | - Renaldas Augulis
- Vilnius University Faculty of Medicine and National Center of Pathology, Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
| | - Sunil S Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Yalai Bai
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Anita L Bane
- Juravinski Hospital and Cancer Centre, McMaster University, Hamilton, ON, Canada
| | - John M S Bartlett
- Ontario Institute for Cancer Research, Toronto, ON, Canada
- Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, United Kingdom
| | - Jane Bayani
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Gilbert Bigras
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada
| | - Annika Blank
- Institute of Pathology, University of Bern, Bern, Switzerland
- Institute of Pathology, Triemli Hospital Zurich, Zurich, Switzerland
| | - Henk Buikema
- University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Martin C Chang
- Department of Pathology & Laboratory Medicine, University of Vermont Medical Center, Burlington, VT, USA
| | - Robin L Dietz
- Department of Pathology, Olive View-UCLA Medical Center, Los Angeles, CA, USA
| | - Andrew Dodson
- UK NEQAS for Immunocytochemistry and In-Situ Hybridisation, London, United Kingdom
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | - Cornelia M Focke
- Dietrich-Bonhoeffer Medical Center, Neubrandenburg, Mecklenburg-Vorpommern, Germany
| | - Dongxia Gao
- University of British Columbia, Vancouver, BC, Canada
| | | | - Carolina Gutierrez
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Johan Hartman
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Anne-Vibeke Lænkholm
- Department of Surgical Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Arvydas Laurinavicius
- Vilnius University Faculty of Medicine and National Center of Pathology, Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
| | - Richard M Levenson
- Department of Medical Pathology and Laboratory Medicine, University of California Davis Medical Center, Sacramento, CA, USA
| | - Rustin Mahboubi-Ardakani
- Department of Medical Pathology and Laboratory Medicine, University of California Davis Medical Center, Sacramento, CA, USA
| | | | - Sharon Nofech-Mozes
- University of Toronto Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - C Kent Osborne
- Lester and Sue Smith Breast Center and Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Frédérique M Penault-Llorca
- Imagerie Moléculaire et Stratégies Théranostiques, UMR1240, Université Clermont Auvergne, INSERM, Clermont-Ferrand, France
- Service de Pathologie, Centre Jean PERRIN, Clermont-Ferrand, France
| | - Tammy Piper
- Edinburgh Cancer Research Centre, Western General Hospital, Edinburgh, United Kingdom
| | | | - Tilman T Rau
- Institute of Pathology, University of Bern, Bern, Switzerland
- Institute of Pathology, Heinrich Heine University and University Hospital of Duesseldorf, Duesseldorf, Germany
| | - Stefan Reinhard
- Institute of Pathology, University of Bern, Bern, Switzerland
| | - Stephanie Robertson
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden
| | - Roberto Salgado
- Department of Pathology, GZA-ZNA, Antwerp, Belgium
- Peter MacCallum Cancer Centre, University of Melbourne, Melbourne, VIC, Australia
| | | | - Bert van der Vegt
- University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Giuseppe Viale
- European Institute of Oncology, Milan, Italy
- European Institute of Oncology IRCCS, and University of Milan, Milan, Italy
| | - Lila A Zabaglo
- The Institute of Cancer Research, London, United Kingdom
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
| | - Mitch Dowsett
- The Institute of Cancer Research, London, United Kingdom
| | | | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA.
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Kussaibi HA. Correlation of prognostic and predictive indicators in breast cancer patients from the eastern province of Saudi Arabia. Saudi Med J 2021; 42:293-298. [PMID: 33632908 PMCID: PMC7989269 DOI: 10.15537/smj.2021.42.3.20200711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 01/14/2021] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVES To highlight and correlate demographic and histopathological features of breast cancer along with prognostic and predictive biomarkers, in Saudi patients from the Eastern Province and compare it to a cohort of non-Saudi patients. METHODS In a retrospective study between January 1998 and December 2017, data were collected from the medical records of breast cancer patients who were admitted at King Fahd University Hospital (KFHU), Dammam, Saudi Arabia. The information included demographic, histopathological, and immunohistochemical findings. RESULTS Out of 482 breast cancer patients, 60% (n=286) were Saudis, and 40% (n=196) were non-Saudis. Data showed a wide age distribution; however, most cases (80%) were seen in the third through fifth decades, with a median age at diagnosis of 51 ±12 years. Over years, breast cancer in Saudi patients was increasingly seen at a younger age (p=0.003). While tumors were increasingly detected at earlier stages (p=0.003); however, stage III & IV tumors (p=0.033) and human epidermal growth factor receptor-2 overexpressed tumors (p=0.035) were more frequently seen at a younger age. Interestingly, these associations were not significant in non-Saudi patients. CONCLUSION Although, the current findings might help future studies to identify variables that could lead to better management of breast cancer in this region; however, a wider investigation including other centers in the eastern province is needed.
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Affiliation(s)
- Haitham A. Kussaibi
- From the Pathology Department, College of Medicine, Imam Abdulrahman bin Faisal University, Dammam, Kingdom of Saudi Arabia.
- Address correspondence and reprint request to: Dr. Haitham A. Kussaibi, Pathology Department, College of Medicine, Imam Abdulrahman bin Faisal University, Dammam, Kingdom of Saudi Arabia. E-mail: ORCID ID: http://orcid.org/0000-0002-9570-0768
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