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Ellis I, Webster F, Allison KH, Dang C, Gobbi H, Kulka J, Lakhani SR, Moriya T, Quinn CM, Sapino A, Schnitt S, Sibbering DM, Slodkowska E, Yang W, Tan PH. Dataset for reporting of the invasive carcinoma of the breast: recommendations from the International Collaboration on Cancer Reporting (ICCR). Histopathology 2024; 85:418-436. [PMID: 38719547 DOI: 10.1111/his.15191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/27/2024] [Accepted: 03/22/2024] [Indexed: 08/09/2024]
Abstract
BACKGROUND AND OBJECTIVES Current national or regional guidelines for the pathology reporting on invasive breast cancer differ in certain aspects, resulting in divergent reporting practice and a lack of comparability of data. Here we report on a new international dataset for the pathology reporting of resection specimens with invasive cancer of the breast. The dataset was produced under the auspices of the International Collaboration on Cancer Reporting (ICCR), a global alliance of major (inter-)national pathology and cancer organizations. METHODS AND RESULTS The established ICCR process for dataset development was followed. An international expert panel consisting of breast pathologists, a surgeon, and an oncologist prepared a draft set of core and noncore data items based on a critical review and discussion of current evidence. Commentary was provided for each data item to explain the rationale for selecting it as a core or noncore element, its clinical relevance, and to highlight potential areas of disagreement or lack of evidence, in which case a consensus position was formulated. Following international public consultation, the document was finalized and ratified, and the dataset, which includes a synoptic reporting guide, was published on the ICCR website. CONCLUSIONS This first international dataset for invasive cancer of the breast is intended to promote high-quality, standardized pathology reporting. Its widespread adoption will improve consistency of reporting, facilitate multidisciplinary communication, and enhance comparability of data, all of which will help to improve the management of invasive breast cancer patients.
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Affiliation(s)
- Ian Ellis
- Department of Histopathology, Nottingham City Hospital, London, UK
| | - Fleur Webster
- International Collaboration on Cancer Reporting, Surry Hills, NSW, Australia
| | - Kimberly H Allison
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Chau Dang
- Memorial Sloan Kettering Cancer Center, New York, USA
| | - Helenice Gobbi
- Institute of Health Sciences, Federal University Triangulo Mineiro, Uberaba, Brazil
| | - Janina Kulka
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary
| | - Sunil R Lakhani
- Centre for Clinical Research and Pathology Queensland, University of Queensland, Brisbane, Australia
| | - Takuya Moriya
- Department of Pathology, Kawasaki Medical School, Okayama, Japan
| | - Cecily M Quinn
- Department of Histopathology, St. Vincent's University Hospital, Dublin 4, Ireland
| | - Anna Sapino
- Department of Medical Sciences, University of Turin, Turin, Italy
- Candiolo Cancer Institute, FPO - IRCCS, Candiolo, Italy
| | - Stuart Schnitt
- Department of Pathology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Elzbieta Slodkowska
- Department of Anatomic Pathology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
| | - Wentao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Puay H Tan
- Luma Medical Centre, Royal Square, Singapore, Singapore
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2
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Bernhardt M, Weinhold L, Sanders C, Hommerding O, Lau JF, Toma M, Tischler V, Schmid M, Zienkiewicz T, Hildenbrand R, Gerlach P, Zhou H, Braun M, Müller G, Sieber E, Marko C, Kristiansen G. Peer-to-peer validation of Ki-67 scoring in a pathology quality circle as a tool to assess interobserver variability: are we better than we thought? APMIS 2024. [PMID: 38951722 DOI: 10.1111/apm.13451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/17/2024] [Indexed: 07/03/2024]
Abstract
Ki-67, a nuclear protein expressed in all stages of cellular proliferation, is a valuable tool to assess tumor proliferation and has been linked to more aggressive tumor behavior. However, interlaboratory staining heterogeneity and inter-observer variability challenge its reproducibility. Round Robin tests are a suitable tool to standardize and harmonize immunohistochemical and molecular analyses in histopathology. The study investigates the interrater and interlaboratory reproducibility of Ki-67-scoring using both manual and automated approaches. Unstained TMA slides comprising diverse tumor types (breast cancer, neuroendocrine tumors, lymphomas, and head and neck squamous cell carcinoma) were distributed to six pathology laboratories, each employing their routine staining protocols. Manual and automated scoring methods were applied, and interrater and interlaboratory agreement assessed using intraclass correlation coefficients (ICC). The results highlight good-to-excellent reliability overall, with automated scoring demonstrating higher consistency (ICC 0.955) than manual scoring (ICC 0.871). Results were more variable when looking at the individual entities. Reliability remained good for lymphomas (ICC 0.878) and breast cancer (ICC 0.784) and was poor in well-differentiated neuroendocrine tumors (ICC 0.354). This study clearly advocates standardized practices and training to ensure consistency in Ki-67-assessment, and it demonstrates that this can be achieved in a peer-to-peer approach in local quality-circles.
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Affiliation(s)
- Marit Bernhardt
- Institute of Pathology, University Hospital Bonn, Bonn, Germany
| | - Leonie Weinhold
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | | | | | | | - Marieta Toma
- Institute of Pathology, University Hospital Bonn, Bonn, Germany
| | - Verena Tischler
- Institute of Pathology, University Hospital Bonn, Bonn, Germany
| | - Matthias Schmid
- Institute of Medical Biometry, Informatics and Epidemiology, University Hospital Bonn, Bonn, Germany
| | | | | | | | - Hui Zhou
- Pathologie24 Pathology Practice Bonn City Centre, Bonn, Germany
| | - Martin Braun
- Institute of Pathology and Cytology, Rhein-Sieg, Troisdorf, Germany
| | - Gunnar Müller
- Department of Pathology, Federal Armed Forces Hospital, Koblenz, Germany
| | - Erich Sieber
- Department of Pathology, Federal Armed Forces Hospital, Koblenz, Germany
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3
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Ohnstad HO, Blix ES, Akslen LA, Gilje B, Raj SX, Skjerven H, Borgen E, Janssen EAM, Mortensen E, Brekke MB, Falk RS, Schlichting E, Boge B, Songe-Møller S, Olsson P, Heie A, Mannsåker B, Vestlid MA, Kursetgjerde T, Gravdehaug B, Suhrke P, Sanchez E, Bublevic J, Røe OD, Geitvik GA, Halset EH, Rypdal MC, Langerød A, Lømo J, Garred Ø, Porojnicu A, Engebraaten O, Geisler J, Lyngra M, Hansen MH, Søiland H, Nakken T, Asphaug L, Kristensen V, Sørlie T, Nygård JF, Kiserud CE, Reinertsen KV, Russnes HG, Naume B. Impact of Prosigna test on adjuvant treatment decision in lymph node-negative early breast cancer-a prospective national multicentre study (EMIT-1). ESMO Open 2024; 9:103475. [PMID: 38838499 PMCID: PMC11190479 DOI: 10.1016/j.esmoop.2024.103475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 04/15/2024] [Accepted: 04/24/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND EMIT-1 is a national, observational, single-arm trial designed to assess the value of the Prosigna, Prediction Analysis of Microarray using the 50 gene classifier (PAM50)/Risk of Recurrence (ROR), test as a routine diagnostic tool, examining its impact on adjuvant treatment decisions, clinical outcomes, side-effects and cost-effectiveness. Here we present the impact on treatment decisions. PATIENTS AND METHODS Patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative pT1-pT2 lymph node-negative early breast cancer (EBC) were included. The Prosigna test and standard histopathology assessments were carried out. Clinicians' treatment decisions were recorded before (pre-Prosigna) and after (post-Prosigna) the Prosigna test results were disclosed. RESULTS Of 2217 patients included, 2178 had conclusive Prosigna results. The pre-Prosigna treatment decisions were: no systemic treatment (NT) in 27% of patients, endocrine treatment alone (ET) in 38% and chemotherapy (CT) followed by ET (CT + ET) in 35%. Post-Prosigna treatment decisions were 25% NT, 51% ET and 24% CT + ET, respectively. Adjuvant treatment changed in 28% of patients, including 21% change in CT use. Among patients assigned to CT + ET pre-Prosigna, 45% were de-escalated to ET post-Prosigna. Of patients assigned to ET, 12% were escalated to CT + ET and 8% were de-escalated to NT; of those assigned to NT, 18% were escalated to ET/CT + ET. CT was more frequently recommended for patients aged ≤50 years. In the subgroup with pT1c-pT2 G2 and intermediate Ki67 (0.5-1.5× local laboratory median Ki67 score), the pre-Prosigna CT treatment decision varied widely across hospitals (3%-51%). Post-Prosigna, the variability of CT use was markedly reduced (8%-24%). The correlation between Ki67 and ROR score within this subgroup was poor (r = 0.25-0.39). The median ROR score increased by increasing histological grade, but the ROR score ranges were wide (for G1 0-79, G2 0-90, G3 16-94). CONCLUSION The Prosigna test result changed adjuvant treatment decisions in all EBC clinical risk groups, markedly decreased the CT use for patients categorized as higher clinical risk pre-Prosigna and reduced treatment decision discrepancies between hospitals.
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Affiliation(s)
- H O Ohnstad
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo
| | - E S Blix
- Department of Oncology, University of North Norway, Tromsø; Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø
| | - L A Akslen
- Centre for Cancer Biomarkers CCBIO, Department of Clinical Medicine, Section for Pathology, University of Bergen, Bergen; Department of Pathology Haukeland University Hospital, Bergen
| | - B Gilje
- Department of Haematology and Oncology, Stavanger University Hospital, Stavanger
| | - S X Raj
- Department of Oncology, St Olavs Hospital, Trondheim
| | - H Skjerven
- Department of Breast Surgery, Vestre Viken Hospital Trust, Drammen
| | - E Borgen
- Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Oslo
| | - E A M Janssen
- Department of Pathology, Stavanger University Hospital, Stavanger; Department of Chemistry, Bioscience and Environmental Engineering, Stavanger University, Stavanger, Norway; Menzies Health Institute Queensland and Griffith University, Southport, Australia
| | - E Mortensen
- Department of Pathology, University of North Norway, Tromsø
| | - M B Brekke
- Department of Pathology, St Olavs Hospital, Trondheim
| | - R S Falk
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo
| | - E Schlichting
- Department of Oncology, Breast and Endocrine Surgery Unit, Division of Cancer Medicine, Oslo University Hospital, Oslo
| | - B Boge
- Department of Oncology, Hospital of Southern Norway, Kristiansand
| | | | - P Olsson
- Department of Breast Surgery, Innlandet Hospital Trust, Hamar
| | - A Heie
- Department of Breast Surgery, Haukeland University Hospital, Bergen
| | - B Mannsåker
- Department of Oncology, Nordland Hospital, Bodø
| | - M A Vestlid
- Department of Breast Surgery, Telemark Hospital Trust, Skien
| | - T Kursetgjerde
- Department of Oncology, Møre og Romsdal Hospital Trust, Ålesund
| | - B Gravdehaug
- Department of Breast Surgery, Akershus University Hospital, Lørenskog
| | - P Suhrke
- Department of Pathology, Vestfold Hospital Trust, Tønsberg
| | - E Sanchez
- Department of Oncology, Haugesund Hospital, Haugesund
| | - J Bublevic
- Department of Oncology, Førde Central Hospital, Førde
| | - O D Røe
- Department of Oncology, Levanger Hospital, Levanger
| | - G A Geitvik
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo
| | - E H Halset
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo
| | - M C Rypdal
- Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Oslo
| | - A Langerød
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo
| | - J Lømo
- Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Oslo
| | - Ø Garred
- Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Oslo
| | - A Porojnicu
- Department of Oncology, Vestre Viken Hospital Trust, Drammen
| | - O Engebraaten
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo; Institute of Clinical Medicine, University of Oslo, Oslo
| | - J Geisler
- Institute of Clinical Medicine, University of Oslo, Oslo; Department of Oncology, Akershus University Hospital, Lørenskog
| | - M Lyngra
- Department of Pathology, Akershus University Hospital, Lørenskog
| | - M H Hansen
- Department of Breast Surgery, University of North Norway, Tromsø
| | - H Søiland
- Department of Research, Stavanger University Hospital, Stavanger; Department of Clinical Science, University of Bergen, Bergen
| | - T Nakken
- User representative, Oslo University Hospital, Oslo
| | - L Asphaug
- Clinical Trials Unit, Oslo University Hospital, Oslo; Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo
| | - V Kristensen
- Institute of Clinical Medicine, University of Oslo, Oslo
| | - T Sørlie
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo; Institute of Clinical Medicine, University of Oslo, Oslo
| | | | - C E Kiserud
- National Advisory Unit for Late Effects after Cancer Treatment, Oslo University Hospital, Oslo, Norway
| | - K V Reinertsen
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo; National Advisory Unit for Late Effects after Cancer Treatment, Oslo University Hospital, Oslo, Norway
| | - H G Russnes
- Department of Pathology, Division of Laboratory Medicine, Oslo University Hospital, Oslo; Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, Oslo; Institute of Clinical Medicine, University of Oslo, Oslo
| | - B Naume
- Department of Oncology, Division of Cancer Medicine, Oslo University Hospital, Oslo; Institute of Clinical Medicine, University of Oslo, Oslo.
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4
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Shaker N, Shen R, Limbach AL, Satturwar S, Kobalka P, Ahmadian S, Sun S, Chen W, Lujan G, Esnakula A, Parwani A, Li Z. Automated imaging analysis of Ki-67 immunohistochemistry on whole slide images of cell blocks from pancreatic neuroendocrine neoplasms. J Am Soc Cytopathol 2024; 13:205-212. [PMID: 38433072 DOI: 10.1016/j.jasc.2024.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/06/2024] [Accepted: 02/06/2024] [Indexed: 03/05/2024]
Abstract
INTRODUCTION Accurate grading of pancreatic neuroendocrine tumors (PanNETs) relies on the assessment of Ki-67 immunohistochemistry (IHC). While digital imaging analysis (DIA) has been employed for Ki-67 IHC assessment in surgical specimens, its applicability to cytologic specimens remains underexplored. This study aimed to evaluate an automated DIA for assessing Ki-67 IHC on PanNET cell blocks. MATERIALS AND METHODS The study included 61 consecutive PanNETs and 5 pancreatic neuroendocrine carcinomas. Ki-67 IHC slides from cell blocks were digitally scanned into whole slide images using Philips IntelliSite Scanners and analyzed in batches using the Visiopharm Ki-67 App in a digital workflow. Ki-67 scores obtained through DIA were compared to pathologists' manual scores. RESULTS The Pearson correlation coefficient of the percentage of Ki-67-stained nuclei between DIA reads and the originally reported reads was 0.9681. Concordance between DIA Ki-67 grades and pathologists' Ki-67 grades was observed in 92.4% (61/66) of cases with the calculated Cohen's Kappa coefficient of 0.862 (almost perfect agreement). Discordance between DIA and pathologists' consensus reads occurred in 5 PanNET cases which were upgraded from G1 to G2 by DIA due to contaminated Ki-67-stained inflammatory cells. CONCLUSIONS DIA demonstrated excellent concordance with pathologists' assessments, with only minor grading discrepancies. However, the essential role of pathologists in confirming results is emphasized to enhance overall accuracy.
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Affiliation(s)
- Nada Shaker
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Rulong Shen
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | | | - Swati Satturwar
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Peter Kobalka
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Saman Ahmadian
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Shaoli Sun
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Wei Chen
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Giovanni Lujan
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Ashwini Esnakula
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Anil Parwani
- Department of Pathology, The Ohio State University, Columbus, Ohio
| | - Zaibo Li
- Department of Pathology, The Ohio State University, Columbus, Ohio.
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Đokić S, Gazić B, Grčar Kuzmanov B, Blazina J, Miceska S, Čugura T, Grašič Kuhar C, Jeruc J. Clinical and Analytical Validation of Two Methods for Ki-67 Scoring in Formalin Fixed and Paraffin Embedded Tissue Sections of Early Breast Cancer. Cancers (Basel) 2024; 16:1405. [PMID: 38611083 PMCID: PMC11011015 DOI: 10.3390/cancers16071405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 03/29/2024] [Accepted: 03/31/2024] [Indexed: 04/14/2024] Open
Abstract
Proliferation determined by Ki-67 immunohistochemistry has been proposed as a useful prognostic and predictive marker in breast cancer. However, the clinical validity of Ki-67 is questionable. In this study, Ki-67 was retrospectively evaluated by three pathologists using two methods: a visual assessment of the entire slide and a quantitative assessment of the tumour margin in 411 early-stage breast cancer patients with a median follow-up of 26.8 years. We found excellent agreement between the three pathologists for both methods. The risk of recurrence for Ki-67 was time-dependent, as the high proliferation group (Ki-67 ≥ 30%) had a higher risk of recurrence initially, but after 4.5 years the risk was higher in the low proliferation group. In estrogen receptor (ER)-positive patients, the intermediate Ki-67 group initially followed the high Ki-67 group, but eventually followed the low Ki-67 group. ER-positive pN0-1 patients with intermediate Ki-67 treated with endocrine therapy alone had a similar outcome to patients treated with chemotherapy. A cut-off value of 20% appeared to be most appropriate for distinguishing between the high and low Ki-67 groups. To summarize, a simple visual whole slide Ki-67 assessment turned out to be a reliable method for clinical decision-making in early breast cancer patients. We confirmed Ki-67 as an important prognostic and predictive biomarker.
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Affiliation(s)
- Snežana Đokić
- Department of Pathology, Institute of Oncology, 1000 Ljubljana, Slovenia; (S.Đ.); (B.G.)
- Faculty of Medicine Ljubljana, University of Ljubljana, 1000 Ljubljana, Slovenia;
| | - Barbara Gazić
- Department of Pathology, Institute of Oncology, 1000 Ljubljana, Slovenia; (S.Đ.); (B.G.)
| | - Biljana Grčar Kuzmanov
- Department of Pathology, Institute of Oncology, 1000 Ljubljana, Slovenia; (S.Đ.); (B.G.)
| | - Jerca Blazina
- Department of Pathology, Institute of Oncology, 1000 Ljubljana, Slovenia; (S.Đ.); (B.G.)
| | - Simona Miceska
- Faculty of Medicine Ljubljana, University of Ljubljana, 1000 Ljubljana, Slovenia;
- Department of Cytopathology, Institute of Oncology, 1000 Ljubljana, Slovenia
| | - Tanja Čugura
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
| | - Cvetka Grašič Kuhar
- Faculty of Medicine Ljubljana, University of Ljubljana, 1000 Ljubljana, Slovenia;
- Department of Medical Oncology, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia
| | - Jera Jeruc
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia
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6
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Nielsen TO, Leung SCY, Riaz N, Mulligan AM, Kos Z, Bane A, Whelan TJ. Ki67 assessment protocol as an integral biomarker for avoiding radiotherapy in the LUMINA breast cancer trial. Histopathology 2023; 83:903-911. [PMID: 37609778 DOI: 10.1111/his.15032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/21/2023] [Accepted: 07/30/2023] [Indexed: 08/24/2023]
Abstract
AIMS The LUMINA trial demonstrated a very low local recurrence rate in women ≥55 years with low-risk luminal A breast cancer (defined as grade I-II, T1N0, hormone receptor positive, HER2 negative and Ki67 index ≤13.25%) treated with breast-conserving surgery and endocrine therapy (but no other systemic therapy), supporting the safe omission of radiation in these women. Here we describe the protocol for Ki67 assessment, the companion diagnostic used to guide omission of adjuvant radiotherapy. METHODS Ki67 immunohistochemistry was performed on full-face sections at one of three regional labs. Pathologists trained in the International Ki67 in Breast Cancer Working Group (IKWG) method demarcated tumour areas on scanned slides and scored 100 nuclei from each of at least five randomly selected 1-mm fields. For cases with high Ki67 heterogeneity, further virtual cores were selected and scored in order to confidently assign a case as luminal A (≤13.25%) or B (>13.25%). Interlaboratory variability was assessed through an annual quality assurance programme during the study period. RESULTS From the quality assurance programme, the mean Ki67 index across all cases/labs was 13%. The observed intraclass correlation coefficient (ICC) and kappa statistics were ≥0.9 and ≥0.7, respectively, indicating a substantial level of agreement. Median scoring time was 4 min per case. The IKWG-recommended scoring method, performed directly from slides, requiring up to four scored fields, is concordant with the LUMINA scoring method (ICC ≥ 0.9). CONCLUSION Ki67 is a practical, reproducible, and inexpensive biomarker that can identify low-risk luminal A breast cancers as potential candidates for radiation de-escalation. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov number, NCT01791829.
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Affiliation(s)
- Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Samuel C Y Leung
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Nazia Riaz
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Anna M Mulligan
- University Health Network, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Zuzana Kos
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Anita Bane
- University Health Network, Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
| | - Timothy J Whelan
- Department of Oncology, McMaster University, Hamilton, Ontario, Canada
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7
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Meneveau MO, Crawford MP, Turkheimer LM, Millard TA, Atkins KA, Showalter SL. The POWER-PAK Score Characterizes Tumor Response to 3 Months of Preoperative Endocrine Therapy. Ann Surg Oncol 2023; 30:6034-6040. [PMID: 37454014 PMCID: PMC10766409 DOI: 10.1245/s10434-023-13892-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND The Pre-Operative Window of Endocrine Therapy to Inform Radiation Therapy Decisions (POWER, NCT04272801) trial aims to determine whether 3 months of preoperative endocrine therapy (pre-ET) informs adjuvant radiation therapy decisions among older women with early stage, ER-positive breast cancer. We propose the POWER Pathologic Assessment and Ki-67 (POWER-PAK) scoring system to characterize the histologic effects of pre-ET. METHODS Histologic evaluation was performed on core biopsy and lumpectomy specimens from 37 POWER trial participants who completed pre-ET and surgery. The POWER-PAK score consists of tumor regression, decrease in Ki-67 expression, and ER expression, each ranging from 0 to 2. Scores were aggregated to create the POWER-PAK score with a range from 0 to 6. Participants with no residual tumor were labelled 6-NRT. RESULTS ER expression did not decrease after pre-ET. Ki-67 decreased from 13% in biopsy specimens to 5% in the lumpectomy specimens (p < 0.001). Cellularity decreased from 40% to 23% (p < 0.001). There was heterogeneity of POWER-PAK scores ranging from 2 to 6-NRT: score of 2, n = 2 (5.4%); 4, n = 8 (21.6%); 5, n = 4 (10.8%); 6, n = 16 (43.2%); and 6-NRT, n = 7 (18.9%). Participants with a score ≥ 5 were more likely to have smaller tumors after pre-ET compared with those with a score < 5 (p = 0.04). CONCLUSIONS The tumor responses following treatment with pre-ET are heterogenous. We propose that the POWER-PAK scoring system can be used to quantify response to pre-ET. Future studies will explore the use of POWER-PAK to support informed decision-making for adjuvant therapy options for older women with early stage breast cancer.
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Affiliation(s)
- Max O Meneveau
- Department of Surgery, Division of Breast and Melanoma Surgery, University of Virginia, Charlottesville, VA, USA
| | - Michael P Crawford
- Department of Pathology, University of Virginia, Charlottesville, VA, USA
| | - Lena M Turkheimer
- Department of Surgery, Division of Breast and Melanoma Surgery, University of Virginia, Charlottesville, VA, USA
| | - Trish A Millard
- Department of Medicine, Division of Hematology/Oncology, University of Virginia, Charlottesville, VA, USA
| | - Kristen A Atkins
- Department of Pathology, University of Virginia, Charlottesville, VA, USA
| | - Shayna L Showalter
- Department of Surgery, Division of Breast and Melanoma Surgery, University of Virginia, Charlottesville, VA, USA.
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8
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Probert J, Dodwell D, Broggio J, Charman J, Dowsett M, Kerr A, McGale P, Taylor C, Darby SC, Mannu GS. Ki67 and breast cancer mortality in women with invasive breast cancer. JNCI Cancer Spectr 2023; 7:pkad054. [PMID: 37567612 PMCID: PMC10500622 DOI: 10.1093/jncics/pkad054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 07/24/2023] [Accepted: 07/31/2023] [Indexed: 08/13/2023] Open
Abstract
BACKGROUND The percentage of cells staining positive for Ki67 is sometimes used for decision-making in patients with early invasive breast cancer (IBC). However, there is uncertainty regarding the most appropriate Ki67 cut points and the influence of interlaboratory measurement variability. We examined the relationship between breast cancer mortality and Ki67 both before and after accounting for interlaboratory variability and 8 patient and tumor characteristics. METHODS A multicenter cohort study of women with early IBC diagnosed during 2009-2016 in more than 20 NHS hospitals in England and followed until December 31, 2020. RESULTS Ki67 was strongly prognostic of breast cancer mortality in 8212 women with estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative early IBC (Ptrend < .001). This relationship remained strong after adjustment for patient and tumor characteristics (Ptrend < .001). Standardization for interlaboratory variability did little to alter these results. For women with Ki67 scores of 0%-5%, 6%-10%, 11%-19%, and 20%-29% the corresponding 8-year adjusted cumulative breast cancer mortality risks were 3.3% (95% confidence interval [CI] = 2.8% to 4.0%), 3.7% (95% CI = 3.0% to 4.4%), 3.4% (95% CI = 2.8% to 4.1%), and 3.4% (95% CI = 2.8% to 4.1%), whereas for women with Ki67 scores of 30%-39% and 40%-100%, these risks were higher, at 5.1% (95% CI = 4.3% to 6.2%) and 7.7% (95% CI = 6.6% to 9.1) (Ptrend < .001). Similar results were obtained when the adjusted analysis was repeated with omission of pathological information about tumor size and nodal involvement, which would not be available preoperatively for patients being considered for neoadjuvant therapy. CONCLUSION Our findings confirm the prognostic value of Ki67 scores of 30% or more in women with ER-positive, HER2-negative early IBC, irrespective of interlaboratory variability. These results also suggest that Ki67 may be useful to aid decision-making in the neoadjuvant setting.
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Affiliation(s)
- Jake Probert
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - John Broggio
- The National Disease Registration Service, NHS England, Leeds, UK
| | - Jackie Charman
- The National Disease Registration Service, NHS England, Leeds, UK
| | | | - Amanda Kerr
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Paul McGale
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Carolyn Taylor
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Sarah C Darby
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Gurdeep S Mannu
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Nuffield Department of Surgical Sciences, University of Oxford, Oxford, UK
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9
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Gown AM. The Biomarker Ki-67: Promise, Potential, and Problems in Breast Cancer. Appl Immunohistochem Mol Morphol 2023; 31:478-484. [PMID: 36730064 DOI: 10.1097/pai.0000000000001087] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 10/19/2022] [Indexed: 02/03/2023]
Abstract
Ki-67 is a nuclear protein serendipitously discovered by monoclonal antibody selection in the early 1980s. While it has been applied for decades in the context of breast cancer as a putative prognostic and, more recently, predictive, biomarker, even after all this time there is incomplete agreement as to the validity of the immunohistochemical assays employed for Ki-67 assessment, given possible effects of the disparate methodologies employed and possible confounding preanalytical, analytical, and interpretive variables. In this brief review, the history of Ki-67 and the problems, particularly with the analytical and interpretive variables, are highlighted through a selective review of the published literature. The contributions of the International Ki-67 Breast Cancer Working Group are highlighted, and in particular, the recommendations made by this group are reviewed. The potential of Ki-67 as a biomarker for breast cancer has not yet been fully realized, but an understanding of the power as well as the limitations of the methods of Ki-67 assessment are important if this biomarker can realize its potential.
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Affiliation(s)
- Allen M Gown
- Department of Pathology, University of British Columbia, Vancouver, BC
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10
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Schuster EF, Lopez-Knowles E, Alataki A, Zabaglo L, Folkerd E, Evans D, Sidhu K, Cheang MCU, Tovey H, Salto-Tellez M, Maxwell P, Robertson J, Smith I, Bliss JM, Dowsett M. Molecular profiling of aromatase inhibitor sensitive and resistant ER+HER2- postmenopausal breast cancers. Nat Commun 2023; 14:4017. [PMID: 37419892 PMCID: PMC10328947 DOI: 10.1038/s41467-023-39613-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 06/15/2023] [Indexed: 07/09/2023] Open
Abstract
Aromatase inhibitors (AIs) reduce recurrences and mortality in postmenopausal patients with oestrogen receptor positive (ER+) breast cancer (BC), but >20% of patients will eventually relapse. Given the limited understanding of intrinsic resistance in these tumours, here we conduct a large-scale molecular analysis to identify features that impact on the response of ER + HER2- BC to AI. We compare the 15% of poorest responders (PRs, n = 177) as measured by proportional Ki67 changes after 2 weeks of neoadjuvant AI to good responders (GRs, n = 190) selected from the top 50% responders in the POETIC trial and matched for baseline Ki67 categories. In this work, low ESR1 levels are associated with poor response, high proliferation, high expression of growth factor pathways and non-luminal subtypes. PRs having high ESR1 expression have similar proportions of luminal subtypes to GRs but lower plasma estradiol levels, lower expression of estrogen response genes, higher levels of tumor infiltrating lymphocytes and immune markers, and more TP53 mutations.
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Affiliation(s)
- Eugene F Schuster
- The Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK.
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK.
| | - Elena Lopez-Knowles
- The Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | - Anastasia Alataki
- The Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | | | - Elizabeth Folkerd
- The Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, London, UK
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | | | | | - Maggie Chon U Cheang
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Holly Tovey
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Manuel Salto-Tellez
- Precision Medicine Centre of Excellence, The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
- Cellular Pathology, Belfast Health and Social Care Trust, Belfast City Hospital, Belfast, UK
- Division of Molecular Pathology, The Institute of Cancer Research, London, UK
| | - Perry Maxwell
- Precision Medicine Centre of Excellence, The Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK
| | - John Robertson
- Faculty of Medicine & Health Sciences, Queen's Medical Centre, Nottingham, UK
| | | | - Judith M Bliss
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
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11
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Liu Q, Ran D, Wang L, Feng J, Deng W, Mei D, Peng Y, Du C. Association between Ki67 expression and therapeutic outcome in colon cancer. Oncol Lett 2023; 25:272. [PMID: 37216165 PMCID: PMC10193363 DOI: 10.3892/ol.2023.13858] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 04/14/2023] [Indexed: 05/24/2023] Open
Abstract
Ki67 is a commonly used proliferation marker in pathological diagnosis of tumors; however, its prognostic value in colon cancer is controversial. A total of 312 consecutive patients with stage I-III colon cancer who underwent radical surgery with or without adjuvant chemotherapy were included in the present study. Ki67 expression was assessed using immunohistochemistry and was classified according to 25% intervals. The association between Ki67 expression and clinicopathological features was analyzed. Long-term postoperative survival, including disease-free survival (DFS) and overall survival, was calculated, and its association with Ki67 was analyzed. High Ki67 expression (>50%) was associated with improved DFS in patients treated with adjuvant chemotherapy postoperatively, but not in patients who received surgery alone (P=0.138). Ki67 expression was significantly associated with histological differentiation of the tumor (P=0.01), while it was not associated with other clinicopathological factors. Multivariate analysis demonstrated that pathological T and N stage were independent prognostic factors. In conclusion, high Ki67 expression was associated with a good therapeutic outcome in patients receiving adjuvant chemotherapy in colon cancer.
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Affiliation(s)
- Qi Liu
- Key University Laboratory of Metabolism and Health of Guangdong, Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong 518055, P.R. China
| | - Dongmei Ran
- Department of Pathology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
- Digestive Tumor Center, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
| | - Liping Wang
- Digestive Tumor Center, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
- Department of Medical Oncology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
| | - Jiajun Feng
- Department of General Surgery, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
| | - Wei Deng
- Department of Pathology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
| | - Dongdong Mei
- Department of Pathology, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
| | - Yifan Peng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Unit III & Ostomy Service, Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, P.R. China
| | - Changzheng Du
- Key University Laboratory of Metabolism and Health of Guangdong, Department of Biochemistry, School of Medicine, Southern University of Science and Technology, Shenzhen, Guangdong 518055, P.R. China
- Digestive Tumor Center, Southern University of Science and Technology Hospital, Shenzhen, Guangdong 518055, P.R. China
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12
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Bliss JM, Tovey H, Evans A, Holcombe C, Horgan K, Mallon E, Vidya R, Skene A, Dodson A, Hills M, Detre S, Zabaglo L, Banerji J, Kilburn L, Morden JP, Robertson JFR, Smith I, Dowsett M. Clinico-pathologic relationships with Ki67 and its change with short-term aromatase inhibitor treatment in primary ER + breast cancer: further results from the POETIC trial (CRUK/07/015). Breast Cancer Res 2023; 25:39. [PMID: 37046348 PMCID: PMC10099675 DOI: 10.1186/s13058-023-01626-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/27/2023] [Indexed: 04/14/2023] Open
Abstract
PURPOSE Ki67 assessed at diagnosis (Ki67baseline) is an important prognostic factor in primary oestrogen receptor-positive (ER +) breast cancer. Proportional change in Ki67 after 2 weeks (∆Ki672week) is associated with clinical benefit from endocrine therapies and residual Ki67 (Ki672week) with recurrence-free survival. The aim was to define the association between Ki67baseline and after aromatase inhibitor (AI) exposure ∆Ki672week and Ki672week with key prognostic and biologic factors utilising data from the POETIC study. PATIENTS AND METHODS In POETIC 4480 postmenopausal patients with primary ER and/or PgR + breast cancer were randomised 2:1 to 2 weeks' presurgical AI (anastrozole or letrozole) or no presurgical treatment (control). Ki67 was measured centrally in core-cut biopsies taken prior to AI and in core-cuts or the excision biopsy at surgery. Relationships between the Ki67 and biologic factors were explored using linear regression. RESULTS Established associations of Ki67baseline with biologic factors including PgR status, tumour grade, tumour size, histological subtype, nodal status, and vascular invasion were confirmed in the HER2- subpopulation. In the HER2 + subpopulation only grade and tumour size were significantly associated with Ki67baseline. In control group Ki672week was 18% lower than Ki67baseline (p < 0.001) when Ki672week was measured in excision biopsies but not when measured in core-cuts. Median suppression by AIs (∆Ki672week) was 79.3% (IQR: -89.9 to -54.6) and 53.7% (IQR: -78.9 to -21.1) for HER2-negative and HER2-positive cases, respectively. Significantly less suppression occurred in PgR- vs PgR + and HER2 + vs HER2- tumours which remained apparent after adjustment for 2-week sample type. CONCLUSIONS The magnitude of this study allowed characterisation of relationships between Ki67baseline, ∆Ki672week and Ki672week with high degrees of confidence providing a reference source for other studies. Lower values of Ki67 occur when measured on excision biopsies and could lead to apparent but artefactual decreases in Ki67: this should be considered when either ∆Ki672week or Ki672week is used in routine clinical practice to aid treatment decisions or in clinical trials assessing new drug therapies.
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Affiliation(s)
- Judith M Bliss
- Clinical Trials and Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.
| | - Holly Tovey
- Clinical Trials and Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK
| | | | | | - Kieran Horgan
- Department of Breast Surgery, St James's University Hospital, Leeds, UK
| | | | | | | | - Andrew Dodson
- UK NEQAS for Immunocytochemistry and In-Situ Hybridisation, London, UK
| | - Margaret Hills
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, and Breast Cancer Now Centre, The Institute of Cancer Research, London, UK
| | - Simone Detre
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, and Breast Cancer Now Centre, The Institute of Cancer Research, London, UK
| | - Lila Zabaglo
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, and Breast Cancer Now Centre, The Institute of Cancer Research, London, UK
| | - Jane Banerji
- Clinical Trials and Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK
| | - Lucy Kilburn
- Clinical Trials and Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK
| | - James P Morden
- Clinical Trials and Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK
| | | | - Ian Smith
- Breast Unit, Royal Marsden Hospital, London, UK
| | - Mitch Dowsett
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, and Breast Cancer Now Centre, The Institute of Cancer Research, London, UK
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13
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Faragalla H, Plotkin A, Barnes P, Lu FI, Kos Z, Mulligan AM, Bane A, Nofech Mozes S. Ki67 in Breast Cancer Assay: An Ad Hoc Testing Recommendation from the Canadian Association of Pathologists Task Force. Curr Oncol 2023; 30:3079-3090. [PMID: 36975446 PMCID: PMC10047249 DOI: 10.3390/curroncol30030233] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 02/17/2023] [Accepted: 02/27/2023] [Indexed: 03/08/2023] Open
Abstract
Ki67, a marker of cellular proliferation, is commonly assessed in surgical pathology laboratories. In breast cancer, Ki67 is an established prognostic factor with higher levels associated with worse long-term survival. However, Ki67 IHC is considered of limited clinical use in breast cancer management largely due to issues related to standardization and reproducibility of scoring across laboratories. Recently, both the American Food and Drug Administration (FDA) and Health Canada have approved the use of abemaciclib (CDK4/6 inhibitor) for patients with HR+/HER2: high-risk early breast cancers in the adjuvant setting. Health Canada and the FDA have included a Ki67 proliferation index of ≥20% in the drug monograph. The approval was based on the results from monarchE, a phase III clinical trial in early-stage chemotherapy-naïve, HR+, HER2 negative patients at high risk of early recurrence. The study has shown significant improvement in invasive disease-free survival (IDFS) with abemaciclib when combined with adjuvant endocrine therapy at two years. Therefore, there is an urgent need by the breast pathology and medical oncology community in Canada to establish national guideline recommendations for Ki67 testing as a predictive marker in the context of abemaciclib therapy consideration. The following recommendations are based on previous IKWG publications, available guidance from the monarchE trial and expert opinions. The current recommendations are by no means final or comprehensive, and their goal is to focus on its role in the selection of patients for abemaciclib therapy. The aim of this document is to guide Canadian pathologists on how to test and report Ki67 in invasive breast cancer. Testing should be performed upon a medical oncologist’s request only. Testing must be performed on treatment-naïve tumor tissue. Testing on the core biopsy is preferred; however, a well-fixed resection specimen is an acceptable alternative. Adhering to ASCO/CAP fixation guidelines for breast biomarkers is advised. Readout training is strongly recommended. Visual counting methods, other than eyeballing, should be used, with global rather than hot spot assessment preferred. Counting 100 cells in at least four areas of the tumor is recommended. The Ki67 scoring app developed to assist pathologists with scoring Ki67 proposed by the IKWG, available for free download, may be used. Automated image analysis is very promising, and laboratories with such technology are encouraged to use it as an adjunct to visual counting. A score of <5 or >30 is more robust. The task force recommends that the results are best expressed as a continuous variable. The appropriate antibody clone and staining protocols to be used may take time to address. For the time being, the task force recommends having tonsils/+pancreas on-slide control and enrollment in at least one national/international EQA program. Analytical validation remains a pending goal. Until the data become available, using local ki67 protocols is acceptable. The task force recommends participation in upcoming calibration and technical validation initiatives.
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Affiliation(s)
- Hala Faragalla
- Department of Laboratory Medicine, St. Michael’s Hospital, Toronto, ON M5B 1W8, Canada
- Correspondence:
| | - Anna Plotkin
- Department of Laboratory Medicine and Molecular Diagnostics Sunnybrook Health Sciences Center, Toronto, ON M4N 3M5, Canada
| | - Penny Barnes
- Department of Pathology and Laboratory Medicine, Nova Scotia Health Authority, Halifax, NS B3H 2E2, Canada
| | - Fang-I Lu
- Department of Laboratory Medicine and Molecular Diagnostics Sunnybrook Health Sciences Center, Toronto, ON M4N 3M5, Canada
| | - Zuzana Kos
- Department of Pathology, BC Cancer, Vancouver, BC V5Z 4E6, Canada
| | - Anna Marie Mulligan
- Department of Laboratory Medicine, University Health Network, Toronto, ON M5T 2S8, Canada
| | - Anita Bane
- Department of Laboratory Medicine, University Health Network, Toronto, ON M5T 2S8, Canada
| | - Sharon Nofech Mozes
- Department of Laboratory Medicine and Molecular Diagnostics Sunnybrook Health Sciences Center, Toronto, ON M4N 3M5, Canada
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14
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Liu M, Lin C, Huang Q, Jia J, Guo J, Jia R. SRSF3-Mediated Ki67 Exon 7-Inclusion Promotes Head and Neck Squamous Cell Carcinoma Progression via Repressing AKR1C2. Int J Mol Sci 2023; 24:ijms24043872. [PMID: 36835286 PMCID: PMC9959251 DOI: 10.3390/ijms24043872] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/03/2023] [Accepted: 02/07/2023] [Indexed: 02/17/2023] Open
Abstract
Ki67 is a well-known proliferation marker with a large size of around 350 kDa, but its biological function remains largely unknown. The roles of Ki67 in tumor prognosis are still controversial. Ki67 has two isoforms generated by alternative splicing of exon 7. The roles and regulatory mechanisms of Ki67 isoforms in tumor progression are not clear. In the present study, we surprisingly find that the increased inclusion of Ki67 exon 7, not total Ki67 expression level, was significantly associated with poor prognosis in multiple cancer types, including head and neck squamous cell carcinoma (HNSCC). Importantly, the Ki67 exon 7-included isoform is required for HNSCC cell proliferation, cell cycle progression, cell migration, and tumorigenesis. Unexpectedly, Ki67 exon 7-included isoform is positively associated with intracellular reactive oxygen species (ROS) level. Mechanically, splicing factor SRSF3 could promote exon 7 inclusion via its two exonic splicing enhancers. RNA-seq revealed that aldo-keto reductase AKR1C2 is a novel tumor-suppressive gene targeted by Ki67 exon 7-included isoform in HNSCC cells. Our study illuminates that the inclusion of Ki67 exon 7 has important prognostic value in cancers and is essential for tumorigenesis. Our study also suggested a new SRSF3/Ki67/AKR1C2 regulatory axis during HNSCC tumor progression.
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Affiliation(s)
- Miaomiao Liu
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Can Lin
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Qiwei Huang
- RNA Institute, Wuhan University, Wuhan 430072, China
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Science, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan 430072, China
| | - Jun Jia
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
- Department of Oral and Maxillofacial Surgery, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
- Correspondence: (J.J.); (R.J.); Tel.: +86-27-87686215 (J.J.); +86-27-87686268 (R.J.)
| | - Jihua Guo
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
- Department of Endodontics, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
| | - Rong Jia
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China
- RNA Institute, Wuhan University, Wuhan 430072, China
- Correspondence: (J.J.); (R.J.); Tel.: +86-27-87686215 (J.J.); +86-27-87686268 (R.J.)
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15
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Wilkins A, Gusterson B, Tovey H, Griffin C, Stuttle C, Daley F, Corbishley CM, Dearnaley D, Hall E, Somaiah N. Multi-candidate immunohistochemical markers to assess radiation response and prognosis in prostate cancer: results from the CHHiP trial of radiotherapy fractionation. EBioMedicine 2023; 88:104436. [PMID: 36708693 PMCID: PMC9900483 DOI: 10.1016/j.ebiom.2023.104436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 12/20/2022] [Accepted: 12/25/2022] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND Protein markers of cellular proliferation, hypoxia, apoptosis, cell cycle checkpoints, growth factor signalling and inflammation in localised prostate tumours have previously shown prognostic ability. A translational substudy within the CHHiP trial of radiotherapy fractionation evaluated whether these could improve prediction of prognosis and assist treatment stratification following either conventional or hypofractionated radiotherapy. METHODS Using case:control methodology, patients with biochemical or clinical failure after radiotherapy (BCR) were matched to patients without recurrence according to established prognostic factors (Gleason score, presenting PSA, tumour-stage) and fractionation schedule. Immunohistochemical (IHC) staining of diagnostic biopsy sections was performed and scored for HIF1α, Bcl-2, Ki67, Geminin, p16, p53, p-chk1 and PTEN. Univariable and multivariable conditional logistic regression models, adjusted for matching strata and age, estimated the prognostic value of each IHC biomarker, including interaction terms to determine BCR prediction according to fractionation. FINDINGS IHC results were available for up to 336 tumours. PTEN, Geminin, mean Ki67 and max Ki67 were prognostic after adjusting for multiple comparisons and were fitted in a multivariable model (n = 212, 106 matched pairs). Here, PTEN and Geminin showed significant prediction of prognosis. No marker predicted BCR according to fractionation. INTERPRETATION Geminin or Ki67, and PTEN, predicted response to radiotherapy independently of established prognostic factors. These results provide essential independent external validation of previous findings and confirm a role for these markers in treatment stratification. FUNDING Cancer Research UK (BIDD) grant (A12518), Cancer Research UK (C8262/A7253), Department of Health, Prostate Cancer UK, Movember Foundation, NIHR Biomedical Research Centre at Royal Marsden/ICR.
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Affiliation(s)
- Anna Wilkins
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom.
| | - Barry Gusterson
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Holly Tovey
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom
| | - Clare Griffin
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom
| | - Christine Stuttle
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - Frances Daley
- Division of Breast Cancer Research, The Institute of Cancer Research, London, United Kingdom
| | - Catherine M Corbishley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom
| | - David Dearnaley
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
| | - Emma Hall
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, United Kingdom
| | - Navita Somaiah
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom; Royal Marsden Hospital, Sutton, United Kingdom
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16
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Finkelman BS, Zhang H, Hicks DG, Turner BM. The Evolution of Ki-67 and Breast Carcinoma: Past Observations, Present Directions, and Future Considerations. Cancers (Basel) 2023; 15:cancers15030808. [PMID: 36765765 PMCID: PMC9913317 DOI: 10.3390/cancers15030808] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2022] [Revised: 01/19/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
The 1983 discovery of a mouse monoclonal antibody-the Ki-67 antibody-that recognized a nuclear antigen present only in proliferating cells represented a seminal discovery for the pathologic assessment of cellular proliferation in breast cancer and other solid tumors. Cellular proliferation is a central determinant of prognosis and response to cytotoxic chemotherapy in patients with breast cancer, and since the discovery of the Ki-67 antibody, Ki-67 has evolved as an important biomarker with both prognostic and predictive potential in breast cancer. Although there is universal recognition among the international guideline recommendations of the value of Ki-67 in breast cancer, recommendations for the actual use of Ki-67 assays in the prognostic and predictive evaluation of breast cancer remain mixed, primarily due to the lack of assay standardization and inconsistent inter-observer and inter-laboratory reproducibility. The treatment of high-risk ER-positive/human epidermal growth factor receptor-2 (HER2) negative breast cancer with the recently FDA-approved drug abemaciclib relies on a quantitative assessment of Ki-67 expression in the treatment decision algorithm. This further reinforces the urgent need for standardization of Ki-67 antibody selection and staining interpretation, which will hopefully lead to multidisciplinary consensus on the use of Ki-67 as a prognostic and predictive marker in breast cancer. The goals of this review are to highlight the historical evolution of Ki-67 in breast cancer, summarize the present literature on Ki-67 in breast cancer, and discuss the evolving literature on the use of Ki-67 as a companion diagnostic biomarker in breast cancer, with consideration for the necessary changes required across pathology practices to help increase the reliability and widespread adoption of Ki-67 as a prognostic and predictive marker for breast cancer in clinical practice.
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Dubrava AL, Kyaw PSP, Newman J, Pringle J, Westhuyzen J, La Hera Fuentes G, Shakespeare TP, Sakalkale R, Aherne NJ. Androgen Receptor Status in Triple Negative Breast Cancer: Does It Correlate with Clinicopathological Characteristics? BREAST CANCER (DOVE MEDICAL PRESS) 2023; 15:359-371. [PMID: 37197610 PMCID: PMC10184857 DOI: 10.2147/bctt.s405719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 03/24/2023] [Indexed: 05/19/2023]
Abstract
Purpose Triple negative breast cancer (TNBC) is a breast carcinoma subtype that neither expresses estrogen (ER) and progesterone receptors (PR) nor the human epidermal growth factor receptor 2 (HER2). Patients with TNBC have been shown to have poorer outcomes mainly owing to the limited treatment options available. However, some studies have shown TNBC tumors expressing androgen receptors (AR), raising hopes of its prognostic role. Patients and Methods This retrospective study investigated the expression of AR in TNBC and its relationship with known patient demographics, tumor and survival characteristics. From the records of 205 TNBC patients, 36 had available archived tissue samples eligible for AR staining. For statistical purposes, tumors were classified as either "positive" or "negative" for AR expression. The nuclear expression of AR was scored by measuring the percentage of stained tumor cells and its staining intensity. Results AR was expressed by 50% of the tissue samples in our TNBC cohort. The relationship between AR status with age at the time of TNBC diagnosis was statistically significant, with all AR positive TNBC patients being greater than 50 years old (vs 72.2% in AR negative TNBC). Also, the relationship between AR status and type of surgery received was statistically significant. There were no statistically significant associations between AR status with other tumor characteristics including "TNM status", tumor grade or treatments received. There was no statistically significant difference in median survival between AR negative and AR positive TNBC patients (3.5 vs 3.1 years; p = 0.581). The relationship between OS time and AR status (p = 0.581), type of surgery (p = 0.061) and treatments (p = 0.917) were not statistically significant. Conclusion The androgen receptor may be an important prognostic marker in TNBC, with further research warranted. This research may benefit future studies investigating receptor-targeted therapies in TNBC.
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Affiliation(s)
- Alex L Dubrava
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Pan Su Pyae Kyaw
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Joseph Newman
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Jarrad Pringle
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Justin Westhuyzen
- School of Health and Human Sciences, Southern Cross University, Coffs Harbour, New South Wales, Australia
| | - Gina La Hera Fuentes
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Thomas P Shakespeare
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Renukadas Sakalkale
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Base Hospital Pathology, Coffs Harbour, New South Wales, Australia
| | - Noel J Aherne
- Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour, New South Wales, Australia
- Coffs Harbour Rural Clinical School, University of New South Wales, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
- School of Health and Human Sciences, Southern Cross University, Coffs Harbour, New South Wales, Australia
- Correspondence: Noel J Aherne, Department of Radiation Oncology, Mid North Coast Cancer Centre, Coffs Harbour Hospital, Coffs Harbour, New South Wales, 2450, Australia, Tel + 61 2 6656 5125, Fax +61 2 6656 5855, Email
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Dowsett M, Nielsen TO, Rimm DL, Hayes DF. Ki67 as a Companion Diagnostic: Good or Bad News? J Clin Oncol 2022; 40:3796-3799. [PMID: 35816627 DOI: 10.1200/jco.22.00581] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
| | - Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI
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19
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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: 10.0] [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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Obukhova L, Kopytova T, Murach E, Shchelchkova N, Kontorshchikova C, Medyanik I, Orlinskaya N, Grishin A, Kontorshchikov M, Badanina D. Relationship between Glutathione-Dependent Enzymes and the Immunohistochemical Profile of Glial Neoplasms. Biomedicines 2022; 10:biomedicines10102393. [PMID: 36289655 PMCID: PMC9598304 DOI: 10.3390/biomedicines10102393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 11/25/2022] Open
Abstract
This research aimed to investigate the relationships between the parameters of glutathione metabolism and the immunohistochemical characteristics of glial tumors. Postoperative material from 20 patients with gliomas of different grades of anaplasia was analyzed. Bioinformatic analysis of the interactions between the gliomas’ immunohistochemical markers and their glutathione-dependent enzymes was carried out using the STRING, BioGrid, while Signor databases revealed interactions between such glioma markers as IDH and p53 and the glutathione exchange enzymes (glutathione peroxidase, glutathione reductase, glutathione S-transferase). The most pronounced relationship with glutathione metabolism was demonstrated by the level of the nuclear protein Ki67 as a marker of proliferative activity, and the presence of the IDH1 mutation as one of the key genetic events of gliomagenesis. The glutathione system is an active participant in the body’s antioxidant defense, involving the p53 markers and MGMT promoter methylation. It allows characterization of the gliomal cells’ status at different stages of tumor development.
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21
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Obukhova LM, Evdokimov II, Medyanik IA, Orlinskaya NY, Grishin AS, Babintsev VE, Barinov YA, Kontorshchikov MM, Gorshkova TN, Lazukin VF. Prospects for the use of blood elemental status to assess the molecular genetic profile of gliomas. Klin Lab Diagn 2022; 67:497-503. [PMID: 36099457 DOI: 10.51620/0869-2084-2022-67-9-497-503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
It has been established that blood element homeostasis is related to gliomagenesis which increases the attractiveness of the analysis of its components as a promising preoperative mediated characteristics of the molecular genetic profile of gliomas. The aim of this work is to analyze the relationship between mineral metabolism parameters and immunohistochemical characteristics of glial tumors and evaluate the clinical significance of blood element homeostasis analysis for preoperative assessment of the molecular profile of gliomas. The levels of cancer specific markers MGMT, Ki-67, p-53, IDH1 were determined immunohistochemically using the corresponding antibody clones. Micronutrient levels were analyzed by inductively coupled plasma atomic emission spectrometry recalculating the results per 1 g of protein which was determined by the Lowry method. The data on cancer-specific marker levels obtained in primary brain tumors (20) and in blood plasma of gliomas patients (20) and practically healthy subjects (5) were compared using a number of statistical programs. We found significant differences in the levels of sodium, potassium, zinc and copper depending on the value of the mitotic index Ki-67 and IDH1 isocitrate dehydrogenase gene mutation. For the first time, a significant correlation showing the consistency between the level of glial tumor cancer-specific markers and blood mineral metabolism was observed. The revealed correlations provide new insights into understanding of gliomagenesis mechanisms and can be used as a predictive preoperative assessment of molecular genetic markers of gliomas.
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Affiliation(s)
- Larisa Mikhailovna Obukhova
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - I I Evdokimov
- Federal Budgetary Scientific Institution G.G. Devyatykh Institute of Chemistry High-Purity Chemistry of the Russian Academy of Sciences
| | - I A Medyanik
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - N Yu Orlinskaya
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - A S Grishin
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - V E Babintsev
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - Yu A Barinov
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - M M Kontorshchikov
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
| | - T N Gorshkova
- Federal State-Funded Healthcare Institution "Privolzhsky District Medical Center" of Federal and Biological Agency of Russia
| | - V F Lazukin
- Federal State Budgetary Educational Institution of Higher Educational "Privolzhsky Research Medical University" of the Ministry of Health of the Russian Federation
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22
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Lopez-Knowles E, Detre S, Hills M, Schuster EF, Cheang MCU, Tovey H, Kilburn LS, Bliss JM, Robertson J, Mallon E, Skene A, Evans A, Smith I, Dowsett M. Relationship between ER expression by IHC or mRNA with Ki67 response to aromatase inhibition: a POETIC study. Breast Cancer Res 2022; 24:61. [PMID: 36096872 PMCID: PMC9466340 DOI: 10.1186/s13058-022-01556-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 08/27/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND In clinical practice, oestrogen receptor (ER) analysis is almost entirely by immunohistochemistry (IHC). ASCO/CAP recommends cut-offs of < 1% (negative) and 1-10% (low) cells positive. There is uncertainty whether patients with ER low tumours benefit from endocrine therapy. We aimed to assess IHC and mRNA cut-points for ER versus biological response of primary breast cancer to 2 weeks' aromatase inhibitor treatment as measured by change in Ki67. METHODS Cases were selected from the aromatase inhibitor treatment group of POETIC. We selected the 15% with the poorest Ki67 response (PR, < 40% Ki67 suppression, n = 230) and a random 30% of the remainder categorised as intermediate (IR, 40-79% Ki67 suppression, n = 150) and good-responders (GR, ≥ 80% Ki67 suppression, n = 230) from HER2 - group. All HER2 + cases available were selected irrespective of their response category (n = 317). ER expression was measured by IHC and qPCR. RESULTS ER IHC was available from 515 HER2 - and 186 HER2 + tumours and ER qPCR from 367 HER2 - and 171 HER2 + tumours. Ninety-one percentage of patients with ER IHC < 10% were PRs with similar rates in HER2 - and HER2 + cases. At or above ER IHC 10% substantial numbers of patients showed IR or GR. Similar proportions of patients were defined by cut-points of ER IHC < 10% and ER mRNA < 5 units. In addition, loss of PgR expression altered ER anti-proliferation response with 92% of PgR - cases with ER IHC < 40% being PRs. CONCLUSIONS There was little responsiveness at IHC < 10% and no distinction between < 1% and 1-10% cells positive. Similar separation of PRs from IR/GRs was achieved by IHC and mRNA.
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Affiliation(s)
- Elena Lopez-Knowles
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK.
| | - Simone Detre
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | - Margaret Hills
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | - Eugene F Schuster
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | - Maggie C U Cheang
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Holly Tovey
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Lucy S Kilburn
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - Judith M Bliss
- Clinical Trials and Statistics Unit, Division of Clinical Studies, The Institute of Cancer Research, London, UK
| | - John Robertson
- Graduate Entry Medical School, Royal Derby Hospital, University of Nottingham, Uttoxeter Road, Derby, DE22 3DT, UK
| | | | - Anthony Skene
- University Hospitals Dorset (Royal Bournemouth), Bournemouth, UK
| | | | | | - Mitch Dowsett
- The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
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Hacking SM, Yakirevich E, Wang Y. From Immunohistochemistry to New Digital Ecosystems: A State-of-the-Art Biomarker Review for Precision Breast Cancer Medicine. Cancers (Basel) 2022; 14:cancers14143469. [PMID: 35884530 PMCID: PMC9315712 DOI: 10.3390/cancers14143469] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/13/2022] [Accepted: 07/15/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary In this state-of-the-art breast biomarker review, we have tried to imagine and illustrate future, emerging digital breast cancer ecosystems which allow for greater incorporation of traditional immunohistochemical and molecular biomarkers, WSI, and radiomic features. Abstract Breast cancers represent complex ecosystem-like networks of malignant cells and their associated microenvironment. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) are biomarkers ubiquitous to clinical practice in evaluating prognosis and predicting response to therapy. Recent feats in breast cancer have led to a new digital era, and advanced clinical trials have resulted in a growing number of personalized therapies with corresponding biomarkers. In this state-of-the-art review, we included the latest 10-year updated recommendations for ER, PR, and HER2, along with the most salient information on tumor-infiltrating lymphocytes (TILs), Ki-67, PD-L1, and several prognostic/predictive biomarkers at genomic, transcriptomic, and proteomic levels recently developed for selection and optimization of breast cancer treatment. Looking forward, the multi-omic landscape of the tumor ecosystem could be integrated with computational findings from whole slide images and radiomics in predictive machine learning (ML) models. These are new digital ecosystems on the road to precision breast cancer medicine.
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Affiliation(s)
| | | | - Yihong Wang
- Correspondence: ; Tel.: +1-401-444-9897; Fax: +1-401-444-4377
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Skjervold AH, Pettersen HS, Valla M, Opdahl S, Bofin AM. Visual and digital assessment of Ki-67 in breast cancer tissue - a comparison of methods. Diagn Pathol 2022; 17:45. [PMID: 35524221 PMCID: PMC9074355 DOI: 10.1186/s13000-022-01225-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 04/12/2022] [Indexed: 11/23/2022] Open
Abstract
Background In breast cancer (BC) Ki-67 cut-off levels, counting methods and inter- and intraobserver variation are still unresolved. To reduce inter-laboratory differences, it has been proposed that cut-off levels for Ki-67 should be determined based on the in-house median of 500 counted tumour cell nuclei. Digital image analysis (DIA) has been proposed as a means to standardize assessment of Ki-67 staining in tumour tissue. In this study we compared digital and visual assessment (VA) of Ki-67 protein expression levels in full-face sections from a consecutive series of BCs. The aim was to identify the number of tumour cells necessary to count in order to reflect the growth potential of a given tumour in both methods, as measured by tumour grade, mitotic count and patient outcome. Methods A series of whole sections from 248 invasive carcinomas of no special type were immunohistochemically stained for Ki-67 and then assessed by VA and DIA. Five 100-cell increments were counted in hot spot areas using both VA and DIA. The median numbers of Ki-67 positive tumour cells were used to calculate cut-off levels for Low, Intermediate and High Ki-67 protein expression in both methods. Results We found that the percentage of Ki-67 positive tumour cells was higher in DIA compared to VA (medians after 500 tumour cells counted were 22.3% for VA and 30% for DIA). While the median Ki-67% values remained largely unchanged across the 100-cell increments for VA, median values were highest in the first 1-200 cells counted using DIA. We also found that the DIA100 High group identified the largest proportion of histopathological grade 3 tumours 70/101 (69.3%). Conclusions We show that assessment of Ki-67 in breast tumours using DIA identifies a greater proportion of cases with high Ki-67 levels compared to VA of the same tumours. Furthermore, we show that diagnostic cut-off levels should be calibrated appropriately on the introduction of new methodology.
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Affiliation(s)
- Anette H Skjervold
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Erling Skjalgssons gate 1, Trondheim, Norway.
| | - Henrik Sahlin Pettersen
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Erling Skjalgssons gate 1, Trondheim, Norway.,Department of Pathology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Marit Valla
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Erling Skjalgssons gate 1, Trondheim, Norway.,Department of Pathology, St. Olav's Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Signe Opdahl
- Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Anna M Bofin
- Department of Clinical and Molecular Medicine, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Erling Skjalgssons gate 1, Trondheim, Norway
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25
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Obukhova L, Nikiforova O, Kontorshchikova C, Medyanik I, Orlinskaya N, Grishin A, Kontorshchikov M, Shchelchkova N. Carbohydrate Metabolism Parameters of Adult Glial Neoplasms According to Immunohistochemical Profile. Biomedicines 2022; 10:biomedicines10051007. [PMID: 35625744 PMCID: PMC9138280 DOI: 10.3390/biomedicines10051007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/22/2022] [Accepted: 04/25/2022] [Indexed: 11/16/2022] Open
Abstract
This research aimed to investigate the interrelationship of carbohydrate metabolism parameters and immunohistochemical characteristics of glial tumors. Tumor tissue, peritumoral area, and adjacent noncancerous tissue fragments of 20 patients with gliomas of varying degrees of anaplasia were analyzed. The greatest differences in the carbohydrate metabolism compared to adjacent noncancerous tissues were identified in the tumor tissue: reduction in the levels of lactate and glycogen synthase kinase-3β. Significant differences with adjacent noncancerous tissues for the peritumoral zone were not found. The activity of the carbohydrate metabolism enzymes was different depending on the immunohistochemical glioma profile, especially from Ki 67 level. Bioinformatic analysis of the interactions of immunohistochemical markers of gliomas and carbohydrate metabolism enzymes using the databases of STRING, BioGrid, and Signor revealed the presence of biologically significant interactions with glycogen synthase kinase 3β, hexokinase, glucose-6-phosphate dehydrogenase, and transketolase. The established interconnection of glycolysis with methylation of the promoter of O-6-methylguanine-DNA-methyltransferase (MGMT) of gliomas can be used to increase chemotherapy efficiency.
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Nitz UA, Gluz O, Kümmel S, Christgen M, Braun M, Aktas B, Lüdtke-Heckenkamp K, Forstbauer H, Grischke EM, Schumacher C, Darsow M, Krauss K, Nuding B, Thill M, Potenberg J, Uleer C, Warm M, Fischer HH, Malter W, Hauptmann M, Kates RE, Gräser M, Würstlein R, Shak S, Baehner F, Kreipe HH, Harbeck N. Endocrine Therapy Response and 21-Gene Expression Assay for Therapy Guidance in HR+/HER2- Early Breast Cancer. J Clin Oncol 2022; 40:2557-2567. [PMID: 35404683 DOI: 10.1200/jco.21.02759] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
PURPOSE To our knowledge, WSG-ADAPT-HR+/HER2- (NCT01779206; n = 5,625 registered) is the first trial combining the 21-gene expression assay (recurrence score [RS]) and response to 3-week preoperative endocrine therapy (ET) to guide systemic therapy in early breast cancer. MATERIALS AND METHODS Baseline and postendocrine Ki67 (Ki67post) were evaluated centrally. In the endocrine trial, all patients received exclusively ET: patients with pathologic regional lymph node status (pN) 0-1 (ie, 0-3 involved lymph nodes) entered control arm if RS ≤ 11 and experimental arm if RS12-25 with ET response (Ki67post ≤ 10%). All other patients (including N0-1 RS12-25 without ET response) received dose-dense chemotherapy (CT) followed by ET in the CT trial. Primary end point of the endocrine trial was noninferiority of 5-year invasive disease-free survival (5y-iDFS) in experimental (v control) arm; secondary end points included distant DFS, overall survival, and translational research. RESULTS Intention-to-treat population comprised 2,290 patients (n = 1,422 experimental v n = 868 control): 26.3% versus 34.6% premenopausal and 27.4% versus 24.0% pN1. One-sided 95% lower confidence limit of the 5y-iDFS difference was -3.3%, establishing prespecified noninferiority (P = .05). 5y-iDFS was 92.6% (95% CI, 90.8 to 94.0) in experimental versus 93.9% (95% CI, 91.8 to 95.4) in control arm; 5-year distant DFS was 95.6% versus 96.3%, and 5-year overall survival 97.3% versus 98.0%, respectively. Differences were similar in age and nodal subgroups. In N0-1 RS12-25, outcome of ET responders (ET alone) was comparable with that of ET nonresponders (CT) for age > 50 years and superior for age ≤ 50 years. ET response was more likely with aromatase inhibitors (mostly postmenopausal) than with tamoxifen (mostly premenopausal): 78.1% versus 41.1% (P < .001). ET response was 78.8% in RS0-11, 62.2% in RS12-25, and 32.7% in RS > 25 (n = 4,203, P < .001). CONCLUSION WSG-ADAPT-HR+/HER2- demonstrates that guiding systemic treatment by both RS and ET response is feasible in clinical routine and spares CT in pre- and postmenopausal patients with ≤ 3 involved lymph nodes.
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Affiliation(s)
- Ulrike A Nitz
- West German Study Group, Moenchengladbach, Germany.,Ev. Bethesda Hospital, Breast Center Niederrhein, Moenchengladbach, Germany
| | - Oleg Gluz
- West German Study Group, Moenchengladbach, Germany.,Ev. Bethesda Hospital, Breast Center Niederrhein, Moenchengladbach, Germany.,University Clinics Cologne, Women's Clinic and Breast Center, Cologne, Germany
| | - Sherko Kümmel
- West German Study Group, Moenchengladbach, Germany.,Breast Unit, Kliniken Essen-Mitte, Essen, Germany.,Clinic for Gynecology with Breast Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Michael Braun
- Department of Gynecology, Breast Center, Red Cross Hospital Munich, Munich, Germany
| | - Bahriye Aktas
- University Clinics Essen, Women's Clinic, Essen, Germany.,University Clinics Leipzig, Women's Clinic, Leipzig, Germany
| | | | | | | | | | - Maren Darsow
- Luisenhospital Duesseldorf, Practice for Senologic Oncology, Duesseldorf, Germany
| | - Katja Krauss
- University Clinics Aachen, Women's Clinic, Aachen, Germany
| | - Benno Nuding
- Ev. Hospital Bergisch Gladbach, Bergisch Gladbach, Germany
| | - Marc Thill
- Markus Hospital, Breast Center, Frankfurt, Germany
| | | | | | - Mathias Warm
- City Hospital Holweide, Breast Center, Cologne, Germany
| | | | - Wolfram Malter
- University Clinics Cologne, Women's Clinic and Breast Center, Cologne, Germany
| | - Michael Hauptmann
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin, Germany.,Faculty of Health Sciences, Joint Faculty of the Brandenburg University of Technology Cottbus - Senftenberg, the Brandenburg Medical School Theodor Fontane and the University of Potsdam, Neuruppin, Germany
| | | | - Monika Gräser
- West German Study Group, Moenchengladbach, Germany.,Ev. Bethesda Hospital, Breast Center Niederrhein, Moenchengladbach, Germany.,Department of Gynecology, University Medical Center Hamburg, Hamburg, Germany
| | - Rachel Würstlein
- Breast Center, Department of Obstetrics and Gynecology and CCC Munich, LMU University Hospital, Munich, Germany
| | | | | | - Hans H Kreipe
- Medical School Hannover, Institute for Pathology, Hannover, Germany
| | - Nadia Harbeck
- West German Study Group, Moenchengladbach, Germany.,Breast Center, Department of Obstetrics and Gynecology and CCC Munich, LMU University Hospital, Munich, Germany
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Tutzauer J, Sjöström M, Holmberg E, Karlsson P, Killander F, Leeb-Lundberg LMF, Malmström P, Niméus E, Fernö M, Jögi A. Breast cancer hypoxia in relation to prognosis and benefit from radiotherapy after breast-conserving surgery in a large, randomised trial with long-term follow-up. Br J Cancer 2022; 126:1145-1156. [PMID: 35140341 PMCID: PMC9023448 DOI: 10.1038/s41416-021-01630-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 10/17/2021] [Accepted: 11/03/2021] [Indexed: 12/21/2022] Open
Abstract
Background Breast-conserving surgery followed by radiotherapy is part of standard treatment for early-stage breast cancer. Hypoxia is common in cancer and may affect the benefit of radiotherapy. Cells adapt to hypoxic stress largely via the transcriptional activity of hypoxia-inducible factor (HIF)-1α. Here, we aim to determine whether tumour HIF-1α-positivity and hypoxic gene-expression signatures associated with the benefit of radiotherapy, and outcome. Methods Tumour HIF-1α-status and expression of hypoxic gene signatures were retrospectively analysed in a clinical trial where 1178 women with primary T1-2N0M0 breast cancer were randomised to receive postoperative radiotherapy or not and followed 15 years for recurrence and 20 years for breast cancer death. Results The benefit from radiotherapy was similar in patients with HIF-1α-positive and -negative primary tumours. Both ipsilateral and any breast cancer recurrence were more frequent in women with HIF-1α-positive primary tumours (hazard ratio, HR0–5 yrs1.9 [1.3–2.9], p = 0.003 and HR0–5 yrs = 2.0 [1.5–2.8], p < 0.0001). Tumour HIF-1α-positivity is also associated with increased breast cancer death (HR0–10 years 1.9 [1.2–2.9], p = 0.004). Ten of the 11 investigated hypoxic gene signatures correlated positively to HIF-1α-positivity, and 5 to increased rate/risk of recurrence. Conclusions The benefit of postoperative radiotherapy persisted in patients with hypoxic primary tumours. Patients with hypoxic primary breast tumours had an increased risk of recurrence and breast cancer death.
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Affiliation(s)
- Julia Tutzauer
- Department of Experimental Medical Science, Lund University, Lund, Sweden
| | - Martin Sjöström
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Erik Holmberg
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Fredrika Killander
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.,Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | | | - Per Malmström
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.,Department of Haematology, Oncology and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Emma Niméus
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.,Division of Surgery, Department of Clinical Sciences Lund, Lund University, Lund, Sweden.,Department of Surgery Malmö, Skåne University Hospital, Malmö, Sweden
| | - Mårten Fernö
- Division of Oncology, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Annika Jögi
- Translational Cancer Research, Department of Laboratory Medicine, Lund University Cancer Center at Medicon Village, Lund University, Lund, Sweden. .,Skåne University Hospital, Malmö, Sweden.
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Tan S, Fu X, Xu S, Qiu P, Lv Z, Xu Y, Zhang Q. Quantification of Ki67 Change as a Valid Prognostic Indicator of Luminal B Type Breast Cancer After Neoadjuvant Therapy. Pathol Oncol Res 2021; 27:1609972. [PMID: 34987312 PMCID: PMC8722379 DOI: 10.3389/pore.2021.1609972] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/28/2021] [Indexed: 12/01/2022]
Abstract
Introduction: Ki67 value and its variation before and after neoadjuvant chemotherapy are commonly tested in relation to breast cancer patient prognosis. This study aims to quantify the extent of changes in Ki67 proliferation pre- and post-neoadjuvant chemotherapy, confirm an optimal cut-off point, and evaluate its potential value for predicting survival outcomes in patients with different molecular subtypes of breast cancer. Methods: This retrospective real-world study recruited 828 patients at the Department of Breast Surgery of the First Affiliated Hospital of China Medical University and the Cancer Hospital of China Medical University from Jan 2014 to Nov 2020. Patient demographic features and disease pathology characteristics were recorded, and biomarkers were verified through immunohistochemistry. Various statistical methods were used to validate the relationships between different characteristics and survival outcomes irrespective of disease-free and overall survival. Results: Among 828 patients, statistically significant effects between pathological complete response and survival outcome were found in both HER2-enriched and triple-negative breast cancer (p < 0.05) but not in Luminal breast cancer (p > 0.05). Evident decrease of Ki67 was confirmed after neoadjuvant chemotherapy. To quantify the extent of Ki67 changes between pre- and post-NAC timepoints, we adopted a computational equation termed ΔKi67% for research. We found the optimal cut-off value to be “ΔKi67% = −63%” via the operating characteristic curve, defining ΔKi67% ≤ −63% as positive status and ΔKi67% > −63% as negative status. Patients with positive ΔKi67% status were 37.1% of the entire cohort. Additionally, 4.7, 39.9, 34.5 and 39.6% of patients with Luminal A, Luminal B, HER2-enriched and triple negative breast cancer were also validated with positive ΔKi67% status. The statistically significant differences between ΔKi67% status and prognostic outcomes were confirmed by univariate and multivariate analysis in Luminal B (univariate and multivariate analysis: p < 0.05) and triple negative breast cancer (univariate and multivariate analysis: p < 0.05). We proved ΔKi67% as a statistically significant independent prognostic factor irrespective of disease-free or overall survival among patients with Luminal B and triple-negative breast cancer. Conclusions:ΔKi67% can aid in predicting patient prognostic outcome, provide a measurement of NAC efficacy, and assist in further clinical decisions, especially for patients with Luminal B breast cancer.
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Affiliation(s)
- Shirong Tan
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xin Fu
- Department of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Shouping Xu
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Pengfei Qiu
- Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhidong Lv
- Breast Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yingying Xu
- Department of Breast Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Yingying Xu, ; Qiang Zhang,
| | - Qiang Zhang
- Department of Breast Surgery, Cancer Hospital of China Medical University, Liaoning Cancer Hospital & Institute, Shenyang, China
- *Correspondence: Yingying Xu, ; Qiang Zhang,
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29
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Should Ki-67 be adopted to select breast cancer patients for treatment with adjuvant abemaciclib? Ann Oncol 2021; 33:234-238. [PMID: 34942341 DOI: 10.1016/j.annonc.2021.12.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 12/12/2021] [Indexed: 01/09/2023] Open
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30
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Yousif M, van Diest PJ, Laurinavicius A, Rimm D, van der Laak J, Madabhushi A, Schnitt S, Pantanowitz L. Artificial intelligence applied to breast pathology. Virchows Arch 2021; 480:191-209. [PMID: 34791536 DOI: 10.1007/s00428-021-03213-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 09/12/2021] [Accepted: 09/27/2021] [Indexed: 12/12/2022]
Abstract
The convergence of digital pathology and computer vision is increasingly enabling computers to perform tasks performed by humans. As a result, artificial intelligence (AI) is having an astoundingly positive effect on the field of pathology, including breast pathology. Research using machine learning and the development of algorithms that learn patterns from labeled digital data based on "deep learning" neural networks and feature-engineered approaches to analyze histology images have recently provided promising results. Thus far, image analysis and more complex AI-based tools have demonstrated excellent success performing tasks such as the quantification of breast biomarkers and Ki67, mitosis detection, lymph node metastasis recognition, tissue segmentation for diagnosing breast carcinoma, prognostication, computational assessment of tumor-infiltrating lymphocytes, and prediction of molecular expression as well as treatment response and benefit of therapy from routine H&E images. This review critically examines the literature regarding these applications of AI in the area of breast pathology.
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Affiliation(s)
- Mustafa Yousif
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
- Department of Pathology, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Paul J van Diest
- Department of Pathology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Arvydas Laurinavicius
- Department of Pathology, Pharmacology and Forensic Medicine, Faculty of Medicine, Vilnius University, and National Center of Pathology, Affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania
| | - David Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Jeroen van der Laak
- Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Anant Madabhushi
- Department of Biomedical Engineering, Case Western Reserve University, and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA
- Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, OH, USA
| | - Stuart Schnitt
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Breast Oncology Program, Dana-Farber/Brigham and Women's Cancer Center, Boston, MA, USA
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31
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Zhang J, Yang M. RE: Assessment of Ki67 in Breast Cancer: Updated Recommendations from the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst 2021; 113:1595-1596. [PMID: 34003292 DOI: 10.1093/jnci/djab093] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 05/11/2021] [Indexed: 11/14/2022] Open
Affiliation(s)
- Jiandi Zhang
- Quanticision Diagnostics, Inc, RTP, NC 27709, USA
| | - Maozhou Yang
- Quanticision Diagnostics, Inc, RTP, NC 27709, USA
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32
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Hao J, Lyu Y, Zou J, Zhang Y, Xie S, Jing L, Tang F, Lyu J, Zhang W, Zhang J, Wang X, Chen K, Zhang J. Improving Prognosis of Surrogate Assay for Breast Cancer Patients by Absolute Quantitation of Ki67 Protein Levels Using Quantitative Dot Blot (QDB) Method. Front Oncol 2021; 11:737781. [PMID: 34604077 PMCID: PMC8485584 DOI: 10.3389/fonc.2021.737781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 08/27/2021] [Indexed: 11/16/2022] Open
Abstract
Background Immunohistochemistry (IHC)-based surrogate assay is the prevailing method in daily clinical practice to determine the necessity of chemotherapy for Luminal-like breast cancer patients worldwide. It relies on Ki67 scores to separate Luminal A-like from Luminal B-like breast cancer subtypes. Yet, IHC-based Ki67 assessment is known to be plagued with subjectivity and inconsistency to undermine the performance of the surrogate assay. A novel method needs to be explored to improve the clinical utility of Ki67 in daily clinical practice. Materials and Methods The Ki67 protein levels in a cohort of 253 specimens were assessed with IHC and quantitative dot blot (QDB) methods, respectively, and used to assign these specimens into Luminal A-like and Luminal B-like subtypes accordingly. Their performances were compared with the Kaplan–Meier, univariate, and multivariate survival analyses of the overall survival (OS) of Luminal-like patients. Results The surrogate assay based on absolutely quantitated Ki67 levels (cutoff at 2.31 nmol/g) subtyped the Luminal-like patients more effectively than that based on Ki67 scores (cutoff at 14%) (Log rank test, p = 0.00052 vs. p = 0.031). It is also correlated better with OS in multivariate survival analysis [hazard ratio (HR) at 6.89 (95% CI: 2.66–17.84, p = 0.0001) vs. 2.14 (95% CI: 0.89–5.11, p = 0.087)]. Conclusions Our study showed that the performance of the surrogate assay may be improved significantly by measuring Ki67 levels absolutely, quantitatively, and objectively using the QDB method.
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Affiliation(s)
- Junmei Hao
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Yan Lyu
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Jiarui Zou
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Yunyun Zhang
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Shuishan Xie
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Lili Jing
- Department of Pathology, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, China
| | - Fangrong Tang
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Jiahong Lyu
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Wenfeng Zhang
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Jianbo Zhang
- Yantai Quanticision Diagnostics, Inc., Yantai, China
| | - Xunting Wang
- Department of Imaging, Linglong Yingcheng Hospital, Zhaoyuan, China
| | - Kuisheng Chen
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Henan Province Key Laboratory of Tumor Pathology, Zhengzhou, China
| | - Jiandi Zhang
- Yantai Quanticision Diagnostics, Inc., Yantai, China
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33
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Davey MG, Hynes SO, Kerin MJ, Miller N, Lowery AJ. Ki-67 as a Prognostic Biomarker in Invasive Breast Cancer. Cancers (Basel) 2021; 13:4455. [PMID: 34503265 PMCID: PMC8430879 DOI: 10.3390/cancers13174455] [Citation(s) in RCA: 70] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/31/2021] [Accepted: 09/01/2021] [Indexed: 12/12/2022] Open
Abstract
The advent of molecular medicine has transformed breast cancer management. Breast cancer is now recognised as a heterogenous disease with varied morphology, molecular features, tumour behaviour, and response to therapeutic strategies. These parameters are underpinned by a combination of genomic and immunohistochemical tumour factors, with estrogen receptor (ER) status, progesterone receptor (PgR) status, human epidermal growth factor receptor-2 (HER2) status, Ki-67 proliferation indices, and multigene panels all playing a contributive role in the substratification, prognostication and personalization of treatment modalities for each case. The expression of Ki-67 is strongly linked to tumour cell proliferation and growth and is routinely evaluated as a proliferation marker. This review will discuss the clinical utility, current pitfalls, and promising strategies to augment Ki-67 proliferation indices in future breast oncology.
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Affiliation(s)
- Matthew G. Davey
- Discipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland; (M.J.K.); (N.M.); (A.J.L.)
- Department of Surgery, Galway University Hospitals, H91 YR71 Galway, Ireland
| | - Sean O. Hynes
- Department of Histopathology, National University of Ireland, H91 YR71 Galway, Ireland;
| | - Michael J. Kerin
- Discipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland; (M.J.K.); (N.M.); (A.J.L.)
| | - Nicola Miller
- Discipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland; (M.J.K.); (N.M.); (A.J.L.)
| | - Aoife J. Lowery
- Discipline of Surgery, The Lambe Institute for Translational Research, National University of Ireland, H91 YR71 Galway, Ireland; (M.J.K.); (N.M.); (A.J.L.)
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34
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Finkelman BS, Meindl A, LaBoy C, Griffin B, Narayan S, Brancamp R, Siziopikou KP, Pincus JL, Blanco LZ. Correlation of manual semi-quantitative and automated quantitative Ki-67 proliferative index with OncotypeDXTM recurrence score in invasive breast carcinoma. Breast Dis 2021; 41:55-65. [PMID: 34397396 DOI: 10.3233/bd-201011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Ki-67 immunohistochemistry (IHC) staining is a widely used cancer proliferation assay; however, its limitations could be improved with automated scoring. The OncotypeDXTM Recurrence Score (ORS), which primarily evaluates cancer proliferation genes, is a prognostic indicator for breast cancer chemotherapy response; however, it is more expensive and slower than Ki-67. OBJECTIVE To compare manual Ki-67 (mKi-67) with automated Ki-67 (aKi-67) algorithm results based on manually selected Ki-67 "hot spots" in breast cancer, and correlate both with ORS. METHODS 105 invasive breast carcinoma cases from 100 patients at our institution (2011-2013) with available ORS were evaluated. Concordance was assessed via Cohen's Kappa (κ). RESULTS 57/105 cases showed agreement between mKi-67 and aKi-67 (κ 0.31, 95% CI 0.18-0.45), with 41 cases overestimated by aKi-67. Concordance was higher when estimated on the same image (κ 0.53, 95% CI 0.37-0.69). Concordance between mKi-67 score and ORS was fair (κ 0.27, 95% CI 0.11-0.42), and concordance between aKi-67 and ORS was poor (κ 0.10, 95% CI -0.03-0.23). CONCLUSIONS These results highlight the limits of Ki-67 algorithms that use manual "hot spot" selection. Due to suboptimal concordance, Ki-67 is likely most useful as a complement to, rather than a surrogate for ORS, regardless of scoring method.
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Affiliation(s)
- Brian S Finkelman
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Amanda Meindl
- Department of Pathology, Great Lakes Pathologists, West Allis, WI, USA
| | - Carissa LaBoy
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Brannan Griffin
- Department of Pathology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Suguna Narayan
- Department of Pathology, University of Colorado Denver School of Medicine, Aurora, CO, USA
| | - Ryan Brancamp
- Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Kalliopi P Siziopikou
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jennifer L Pincus
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Luis Z Blanco
- Department of Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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35
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McShane R, Arya S, Stewart AJ, Caie P, Bates M. Prognostic features of the tumour microenvironment in oesophageal adenocarcinoma. Biochim Biophys Acta Rev Cancer 2021; 1876:188598. [PMID: 34332022 DOI: 10.1016/j.bbcan.2021.188598] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 12/12/2022]
Abstract
Oesophageal adenocarcinoma (OAC) is a disease with an incredibly poor survival rate and a complex makeup. The growth and spread of OAC tumours are profoundly influenced by their surrounding microenvironment and the properties of the tumour itself. Constant crosstalk between the tumour and its microenvironment is key to the survival of the tumour and ultimately the death of the patient. The tumour microenvironment (TME) is composed of a complex milieu of cell types including cancer associated fibroblasts (CAFs) which make up the tumour stroma, endothelial cells which line blood and lymphatic vessels and infiltrating immune cell populations. These various cell types and the tumour constantly communicate through environmental cues including fluctuations in pH, hypoxia and the release of mitogens such as cytokines, chemokines and growth factors, many of which help promote malignant progression. Eventually clusters of tumour cells such as tumour buds break away and spread through the lymphatic system to nearby lymph nodes or enter the circulation forming secondary metastasis. Collectively, these factors need to be considered when assessing and treating patients clinically. This review aims to summarise the ways in which these various factors are currently assessed and how they relate to patient treatment and outcome at an individual level.
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Affiliation(s)
| | - Swati Arya
- School of Medicine, University of St Andrews, Fife, UK
| | | | - Peter Caie
- School of Medicine, University of St Andrews, Fife, UK
| | - Mark Bates
- Department of Surgery, Trinity Translational Medicine Institute, St. James's Hospital, Dublin 8, Ireland; Trinity St James's Cancer Institute, St James's Hospital, Dublin 8, Ireland.
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36
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Gao Y, Zhou R, Huang JF, Hu B, Cheng JW, Huang XW, Wang PX, Peng HX, Guo W, Zhou J, Fan J, Yang XR. Patient-Derived Xenograft Models for Intrahepatic Cholangiocarcinoma and Their Application in Guiding Personalized Medicine. Front Oncol 2021; 11:704042. [PMID: 34327143 PMCID: PMC8315044 DOI: 10.3389/fonc.2021.704042] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2021] [Accepted: 06/25/2021] [Indexed: 11/17/2022] Open
Abstract
Background Intrahepatic cholangiocarcinoma (ICC) remains one of the most intractable malignancies. The development of effective drug treatments for ICC is seriously hampered by the lack of reliable tumor models. At present, patient derived xenograft (PDX) models prove to accurately reflect the genetic and biological diversity required to decipher tumor biology and therapeutic vulnerabilities. This study was designed to investigate the establishment and potential application of PDX models for guiding personalized medicine and identifying potential biomarker for lenvatinib resistance. Methods We generated PDX models from 89 patients with ICC and compared the morphological and molecular similarities of parental tumors and passaged PDXs. The clinicopathologic features affecting PDX engraftment and the prognostic significance of PDX engraftment were analyzed. Drug treatment responses were analyzed in IMF-138, IMF-114 PDX models and corresponding patients. Finally, lenvatinib treatment response was examined in PDX models and potential drug resistance mechanism was revealed. Results Forty-nine PDX models were established (take rate: 55.1%). Successful PDX engraftment was associated with negative HbsAg (P = 0.031), presence of mVI (P = 0.001), poorer tumor differentiation (P = 0.023), multiple tumor number (P = 0.003), presence of lymph node metastasis (P = 0.001), and later TNM stage (P = 0.039). Moreover, patients with tumor engraftment had significantly shorter time to recurrence (TTR) (P < 0.001) and worse overall survival (OS) (P < 0.001). Multivariate analysis indicated that PDX engraftment was an independent risk factor for shortened TTR (HR = 1.84; 95% CI, 1.05–3.23; P = 0.034) and OS (HR = 2.13; 95% CI, 1.11–4.11; P = 0.024). PDXs were histologically and genetically similar to their parental tumors. We also applied IMF-138 and IMF-114 PDX drug testing results to guide clinical treatment for patients with ICC and found similar treatment responses. PDX models also facilitated personalized medicine for patients with ICC based on drug screening results using whole exome sequencing data. Additionally, PDX models reflected the heterogeneous sensitivity to lenvatinib treatment and CDH1 might be vital to lenvatinib-resistance. Conclusion PDX models provide a powerful platform for preclinical drug discovery, and potentially facilitate the implementation of personalized medicine and improvement of survival of ICC cancer patient.
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Affiliation(s)
- Yang Gao
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Rong Zhou
- Department of Blood Transfusion, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jun-Feng Huang
- Department of Intensive Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Bo Hu
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Jian-Wen Cheng
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Xiao-Wu Huang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Peng-Xiang Wang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
| | - Hai-Xiang Peng
- Shanghai Dunwill Medical Technology Co., Ltd., Shanghai, China.,Shanghai Epione Medlab Co., Ltd., Shanghai, China
| | - Wei Guo
- Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jian Zhou
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jia Fan
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China.,Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Xin-Rong Yang
- Department of Liver Surgery & Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Shanghai, China
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Arun I, Venkatesh S, Ahmed R, Agrawal SK, Leung SCY. Reliability of Ki67 visual scoring app compared to eyeball estimate and digital image analysis and its prognostic significance in hormone receptor-positive breast cancer. APMIS 2021; 129:489-502. [PMID: 34053140 DOI: 10.1111/apm.13156] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 05/03/2021] [Indexed: 12/31/2022]
Abstract
We analysed the reproducibility of Ki67 labelling index (LI) between two scorers using the International Ki67 Working Group (IKWG) global methods on an Android application (APP), correlated the APP and eyeball estimate (EBE) with digital image analysis (DIA) scores and determined the prognostic significance of Ki67LI. Global weighted (GW) and global unweighted (GUW) Ki67 app scores of hormone receptor-positive and HER2 (human epidermal growth factor receptor 2)-negative breast cancer patients were obtained. Reproducibility of Ki67LI between 2 scorers and correlation of APP and EBE scores with DIA scores were performed. The prognostic significance of APP scores and its correlation with other clinico-pathologic variables were evaluated. The intra-class correlation coefficient (ICC) between 2 scorers showed excellent reliability with both GW and GUW methods. ICC between DIA and APP scores was significantly greater than DIA versus EBE. The three categories of APP scores based on median value and cut points of 10%, 18% and 38% were significantly associated with poor DFS. On multivariate analysis, significant association between Ki67LI, tumour size, nodal involvement and DFS was noted. Our study shows that the visual Ki67 scoring app is effective in bringing consistency to KI67LI and APP scores showed significant correlation with DFS.
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Affiliation(s)
- Indu Arun
- Department of Pathology, Tata Medical Center, Newtown, Kolkata, India
| | - Saranya Venkatesh
- Department of Pathology, Tata Medical Center, Newtown, Kolkata, India
| | - Rosina Ahmed
- Department of Breast Oncosurgery, Tata Medical Center, Newtown, Kolkata, India
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Nielsen TO, Leung SCY, McShane LM, Dowsett M, Hayes DF. Response to Zhang and Yang. J Natl Cancer Inst 2021; 113:1597-1598. [PMID: 34003287 DOI: 10.1093/jnci/djab094] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 05/12/2021] [Indexed: 11/13/2022] Open
Affiliation(s)
- Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Samuel C Y Leung
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lisa M McShane
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Mitch Dowsett
- Breast Cancer Now Toby Robins Research Centre, Institute of Cancer Research, London, UK
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
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Poorly Differentiated Neuroendocrine Larynx Carcinoma: Clinical Features and miRNAs Signature-A New Goal for Early Diagnosis and Therapy? J Clin Med 2021; 10:jcm10092019. [PMID: 34066893 PMCID: PMC8125889 DOI: 10.3390/jcm10092019] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 04/27/2021] [Accepted: 04/29/2021] [Indexed: 12/30/2022] Open
Abstract
Laryngeal neuroendocrine carcinomas (LNECs) are rare and highly heterogeneous malignancies presenting a wide range of pathological and clinical manifestations. Herein, we retrospectively characterize ten patients diagnosticated with LNEC, five of which were defined as well-moderately differentiated neuroendocrine carcinomas, and five that were defined as poorly differentiated neuroendocrine carcinomas, according to the latest WHO classification. Clinical features were analyzed and compared between the two subgroups together with a microRNA study which evidenced a peculiar signature likely related to poorly differentiated larynx neuroendocrine carcinomas. These findings may offer new useful insights for clinicians to improve diagnosis efficiency, therapy response, and patients' outcome for this aggressive neoplasm.
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40
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Alataki A, Zabaglo L, Tovey H, Dodson A, Dowsett M. A simple digital image analysis system for automated Ki67 assessment in primary breast cancer. Histopathology 2021; 79:200-209. [PMID: 33590538 DOI: 10.1111/his.14355] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 01/16/2021] [Accepted: 02/14/2021] [Indexed: 10/22/2022]
Abstract
AIMS Ki67 is a well-established immunohistochemical marker associated with cell proliferation that has prognostic and predictive value in breast cancer. Quantitative evaluation of Ki67 is traditionally performed by assessing stained tissue slides with light microscopy. Automated image analysis systems have become available and, if validated, could provide greater standardisation and improved precision of Ki67 scoring. Here, we aimed to evaluate the use of the Cognition Master Professional Suite (CogM) image analysis software, which is a simple system for scoring Ki67 in primary breast cancer samples. METHODS AND RESULTS Sections from 94 core-cut biopsies, 20 excision specimens and 29 pairs of core-cut biopsies and excision specimens were stained for Ki67 with MIB1 antibody and the Dako EnVision FLEX Detection System. Stained slides were scanned to convert them to digital data. Computer-based Ki67 scoring was performed with CogM. Manual Ki67 scoring assessment was conducted on previously stained sections from the same biopsies with a clinically validated system that had been calibrated against the risk of recurrence. A high correlation between manual and digital scores was observed [rCores = 0.92, 95% confidence interval (CI) 0.87-0.94, P < 0.0001; rExcisions = 0.95, 95% CI 0.86-0.98, P < 0.0001] and there was no significant bias between them (P = 0.45). There was also a high correlation of Ki67 scores between paired core-cut biopsies and excision specimens when CogM was used (r = 0.78, 95% CI 0.59-0.89, P < 0.0001). CONCLUSIONS CogM image analysis allows for standardised automated Ki67 scoring that accurately replicates previously clinically validated and calibrated manual scores.
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Affiliation(s)
- Anastasia Alataki
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital and The Institute of Cancer Research, London, UK.,The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Lila Zabaglo
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital and The Institute of Cancer Research, London, UK.,The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
| | - Holly Tovey
- Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK
| | - Andrew Dodson
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital and The Institute of Cancer Research, London, UK
| | - Mitch Dowsett
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital and The Institute of Cancer Research, London, UK.,The Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK
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Thomas S, Kabir M, Butcher BE, Chou S, Mahajan H, Farshid G, Balleine R, Pathmanathan N. Interobserver concordance in visual assessment of Ki67 immunohistochemistry in surgical excision specimens from patients with lymph node-negative breast cancer. Breast Cancer Res Treat 2021; 188:729-737. [PMID: 33751322 DOI: 10.1007/s10549-021-06188-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 03/10/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE This study aimed to determine the interobserver concordance of two methods for proliferation assessment in breast cancer using Ki67 immunohistochemistry. METHODS Ki67 was independently assessed in randomly selected tumour samples from patients with lymph node-negative breast cancer using two different methods: either cell counting or visual estimation of hot spot areas. For hot spot cell counting, positive and negative cell numbers were recorded for total cell counts of 300-500, 500-800 and 800-1000 cells. Visual estimation involved allocation of a score from 1 to 5 using a visual scale to estimate percentage positivity. Interobserver agreement for hot spot counting was calculated using a two-way fixed effects intraclass correlation model, and by using Cohen's kappa measure for visual assessment. Prognostic concordance between the two methods was also calculated using Cohen's kappa. RESULTS Samples from 96 patients were included in this analysis. Interobserver agreement for hot spot cell counting was excellent (> 0.75) across all three cell count ranges, with correlation coefficients of 0.88 (95% CI 0.84-0.92), 0.87 (95% CI 0.82-0.91) and 0.89 (95% CI 0.85-0.92), respectively. Interobserver agreement with visual estimation was greatest for hot spots compared with areas of intermediate or low proliferation, with kappa scores of 0.49, 0.42 and 0.40, respectively. Both assessment methods demonstrated excellent prognostic agreement. CONCLUSIONS Interobserver and prognostic concordance in Ki67 immunohistochemistry assessments was high using either hot spot cell counting or visual estimation, further supporting the utility and reproducibility of these cost-efficient methods to assess proliferation.
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Affiliation(s)
- Susanna Thomas
- Westmead Breast Cancer Institute, Westmead, NSW, 2145, Australia
- Western Sydney Local Health District, Westmead, NSW, 2145, Australia
- Australian Clinical Labs, Bella Vista, NSW, 2153, Australia
| | - Masrura Kabir
- Westmead Breast Cancer Institute, Westmead, NSW, 2145, Australia
- Western Sydney Local Health District, Westmead, NSW, 2145, Australia
| | - Belinda E Butcher
- WriteSource Medical Pty Ltd, Lane Cove, NSW, 2066, Australia
- School of Medical Sciences, University of New South Wales, Sydney, NSW, 2052, Australia
| | - Shaun Chou
- Institute of Clinical Pathology and Medical Research, Pathology West, NSW Health Pathology, Sydney, NSW, 2145, Australia
| | - Hema Mahajan
- Institute of Clinical Pathology and Medical Research, Pathology West, NSW Health Pathology, Sydney, NSW, 2145, Australia
- Westmead Clinical School, University of Sydney, Sydney, NSW, 2145, Australia
| | - Gelareh Farshid
- SA Pathology, Royal Adelaide Hospital, Adelaide, SA, 5000, Australia
- School of Medical Sciences, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Rosemary Balleine
- Institute of Clinical Pathology and Medical Research, Pathology West, NSW Health Pathology, Sydney, NSW, 2145, Australia
- Faculty of Medicine and Health, Children's Medical Research Institute, University of Sydney, Westmead, NSW, 2145, Australia
| | - Nirmala Pathmanathan
- Westmead Breast Cancer Institute, Westmead, NSW, 2145, Australia.
- Western Sydney Local Health District, Westmead, NSW, 2145, Australia.
- Westmead Clinical School, University of Sydney, Sydney, NSW, 2145, Australia.
- Douglass Hanly Moir Pathology, Macquarie Park, NSW, 2113, Australia.
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Badve SS, Cho S, Gökmen-Polar Y, Sui Y, Chadwick C, McDonough E, Sood A, Taylor M, Zavodszky M, Tan PH, Gerdes M, Harris AL, Ginty F. Multi-protein spatial signatures in ductal carcinoma in situ (DCIS) of breast. Br J Cancer 2021; 124:1150-1159. [PMID: 33414541 PMCID: PMC7961015 DOI: 10.1038/s41416-020-01216-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 09/10/2020] [Accepted: 11/25/2020] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND There is limited knowledge about DCIS cellular composition and relationship with breast cancer events (BCE). METHODS Immunofluorescence multiplexing (MxIF) was used to image and quantify 32 cellular biomarkers in FFPE DCIS tissue microarrays. Over 75,000 DCIS cells from 51 patients (median 9 years follow-up for non-BCE cases) were analysed for profiles predictive of BCE. K-means clustering was used to evaluate cellular co-expression of epithelial markers with ER and HER2. RESULTS Only ER, PR and HER2 significantly correlated with BCE. Cluster analysis identified 6 distinct cell groups with different levels of ER, Her2, cMET and SLC7A5. Clusters 1 and 3 were not significant. Clusters 2 and 4 (high ER/low HER2 and SLC7A5/mixed cMET) significantly correlated with low BCE risk (P = 0.001 and P = 0.034), while cluster 6 (high HER2/low ER, cMET and SLC7A5) correlated with increased risk (P = 0.018). Cluster 5 (similar to cluster 6, except high SLC7A5) trended towards significance (P = 0.072). A continuous expression score (Escore) based on these 4 clusters predicted likelihood of BCE (AUC = 0.79, log-rank test P = 5E-05; LOOCV AUC = 0.74, log-rank test P = 0.006). CONCLUSION Multiplexed spatial analysis of limited tissue is a novel method for biomarker analysis and predicting BCEs. Further validation of Escore is needed in a larger cohort.
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MESH Headings
- Aged
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Biomarkers, Tumor/metabolism
- Breast Neoplasms/metabolism
- Breast Neoplasms/pathology
- Breast Neoplasms/therapy
- Carcinoma, Ductal, Breast/metabolism
- Carcinoma, Ductal, Breast/pathology
- Carcinoma, Ductal, Breast/therapy
- Carcinoma, Intraductal, Noninfiltrating/metabolism
- Carcinoma, Intraductal, Noninfiltrating/pathology
- Carcinoma, Intraductal, Noninfiltrating/therapy
- Combined Modality Therapy
- Female
- Follow-Up Studies
- Humans
- Mastectomy/methods
- Middle Aged
- Prognosis
- Retrospective Studies
- Survival Rate
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Affiliation(s)
- Sunil S Badve
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
| | | | - Yesim Gökmen-Polar
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | | | | | | | - Anup Sood
- GE Research, Niskayuna, NY, 12309, USA
| | - Marian Taylor
- Department of Oncology, Cancer and Haematology Centre, Oxford University, Oxford, OX37LJ, UK
| | | | - Puay Hoon Tan
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | | | - Adrian L Harris
- Department of Oncology, Cancer and Haematology Centre, Oxford University, Oxford, OX37LJ, UK
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Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer. Genes (Basel) 2021; 12:genes12020285. [PMID: 33671468 PMCID: PMC7922594 DOI: 10.3390/genes12020285] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/08/2021] [Accepted: 02/12/2021] [Indexed: 02/06/2023] Open
Abstract
Systemic treatment of hormone receptor-positive (HR+) breast cancer is undergoing a renaissance, with a number of targeted therapies including CDK4/6, mTOR, and PI3K inhibitors now approved for use in combination with endocrine therapies. The increased use of targeted therapies has changed the natural history of HR+ breast cancers, with the emergence of new escape mechanisms leading to the inevitable progression of disease in patients with advanced cancers. The identification of new predictive and pharmacodynamic biomarkers to current standard-of-care therapies and discovery of new therapies is an evolving and urgent clinical challenge in this setting. While traditional, routinely measured biomarkers such as estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) still represent the best prognostic and predictive biomarkers for HR+ breast cancer, a significant proportion of patients either do not respond to endocrine therapy or develop endocrine resistant disease. Genomic tests have emerged as a useful adjunct prognostication tool and guide the addition of chemotherapy to endocrine therapy. In the treatment-resistant setting, mutational profiling has been used to identify ESR1, PIK3CA, and AKT mutations as predictive molecular biomarkers to newer therapies. Additionally, pharmacodynamic biomarkers are being increasingly used and considered in the metastatic setting. In this review, we summarise the current state-of-the-art therapies; prognostic, predictive, and pharmacodynamic molecular biomarkers; and how these are impacted by emerging therapies for HR+ breast cancer.
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Parry S, Dowsett M, Dodson A. UK NEQAS ICC & ISH Ki-67 Data Reveal Differences in Performance of Primary Antibody Clones. Appl Immunohistochem Mol Morphol 2021; 29:86-94. [PMID: 33337635 PMCID: PMC7993918 DOI: 10.1097/pai.0000000000000899] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/16/2020] [Indexed: 01/09/2023]
Abstract
We examined data from 374 laboratories staining for Ki-67 as part of external quality assessment over 8 runs between 2013 and 2017 (total data sets=2601). One of 5 primary antibodies was used for 94.8% of submissions, with MIB-1 (Agilent Dako) comprising 58.8% of the total. Examining assessment score as a continuous variable showed the 30-9 (Ventana) and K2 (Leica Biosystems) clones were associated with the highest mean scores (17.0; 95% confidence interval, 16.8-17.2 and 16.3; 95% confidence interval, 15.9-16.6, respectively). Stain quality was not significantly different between them. Both were associated with significantly better staining compared with MIB-1 (Agilent Dako), MM1 (Leica Biosystems), and SP6 from various suppliers (P<0.05). Similarly, categorical assessment of "Good" versus "Not good" staining quality showed that the 30-9 and K2 clones were both significantly associated with "Good" staining (both P<0.001). Other methodological parameters were examined for significant primary antibody-specific effects; none were seen for 30-9, K2, or SP6. The MM1 clone was more likely to be associated with good quality staining when it was used with Leica Biosystems sourced antigen retrieval, detection, and platform, all statistically significant at P<0.01. MIB-1 was more likely to be associated with good quality staining results when it was used with Agilent Dako antigen retrieval, detection, and staining platforms (P<0.0001), and less likely at the same significance level when used with Leica Biosystems reagents and equipment. The data presented here show the importance of not just primary antibody choice but also matching that choice to other methodological factors.
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Affiliation(s)
- Suzanne Parry
- UK National External Quality Assessment Scheme for Immunocytochemistry and In-Situ Hybridisation
| | - Mitch Dowsett
- Ralph Lauren Centre for Breast Cancer Research, Royal Marsden Hospital, London, UK
| | - Andrew Dodson
- UK National External Quality Assessment Scheme for Immunocytochemistry and In-Situ Hybridisation
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46
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Ahn SK, Jung SY. Current Biomarkers for Precision Medicine in Breast Cancer. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1187:363-379. [PMID: 33983588 DOI: 10.1007/978-981-32-9620-6_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Breast cancer has become the prototypical solid tumor where targets have been identified within the tumor allowing for personalized approach for systemic therapy. Biomarkers are beginning to play an important role in preparing the way for precision treatment. Mandatory biomarkers for every newly diagnosed case of breast cancer are estrogen receptors and progesterone receptors in selecting patients for endocrine treatment and HER2 for identifying patients likely to benefit from antiHER2 therapy. Although methodological problems exist in the determination of Ki67, because of its clearly established clinical value, wide availability, and low costs relative to the available multianalyte signatures, Ki67 may be used for determining prognosis, especially if values are low or high. Also, the androgen receptor (AR) pathway is emerging as a potential therapeutic target in breast cancer. AR-targeted treatments for breast cancer are in development and have shown promising preliminary results. While, most established biomarkers in breast cancer require tissue samples, serum tumor markers are easily accessible and require a less invasive procedure. Among them, tissue polypeptide-specific antigen (TPS), a specific epitope structure of a peptide in serum associated with human cytokeratin 18, is linked to the proliferative activity of tumors. TPS may be a valuable and independent prognostic biomarker for breast cancer.In order to accelerate progress towards precision treatment for women with breast cancer, we need additional predictive biomarker, especially for enhancing the positive predictive value for endocrine and antiHER2 therapies, as well as biomarkers for predicting response to specific forms of chemotherapy.
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Affiliation(s)
- Soo Kyung Ahn
- Breast and Thyroid Center, Department of Surgery, Kangnam Sacred Heart Hospital, Hallym University, Seoul, South Korea.
| | - So-Youn Jung
- Center for Breast Cancer, National Cancer Center, Goyang-si, South Korea
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47
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Prosigna® breast cancer assay: histopathologic correlation, development, and assessment of size, nodal status, Ki-67 (SiNK™) index for breast cancer prognosis. Mod Pathol 2021; 34:70-76. [PMID: 32740650 DOI: 10.1038/s41379-020-0643-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 07/20/2020] [Accepted: 07/21/2020] [Indexed: 12/11/2022]
Abstract
The Prosigna® assay is a United States Food and Drug Administration (US-FDA) cleared molecular test for prognostic use in hormone receptor-positive stage I/II breast cancer in postmenopausal women. We analyzed histopathologic features of 79 cases with Prosigna® assay results and found a significant correlation between tumor size, grade, and Ki-67 labeling index with Prosigna® score (0-40, 41-60, and 61-100) and Prosigna® risk categories. Since the Prosigna® risk stratification is influenced by lymph node status, we designed an index that included lymph node status and the two most correlated variables (size and Ki-67 labeling index). This was termed the size, nodal, and Ki-67 (SiNK™) index and is calculated as follows: (size in mm) + (pN × 10) + (Ki-67 labeling index). The SiNK™ index was divided into ≤40 and >40 to test its prognostic significance in a well-characterized dataset of 106 ER+/HER2-negative stage I-II invasive breast cancers treated with standard multi-modality therapy with long term follow-up (average 101 months follow-up). Patients with SiNK™ ≤40 showed significantly improved distant recurrence-free survival (96% distant recurrence-free survival in SiNK™ ≤40 compared to 81% in SiNK™ >40; log-rank test p value: 0.0027). SiNK™ provides strong prognostic information in ERo+/HER2-negative breast cancers. SiNK™ index is simple to calculate using data from routine pathology reports. This should be further evaluated in larger datasets.
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48
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Nielsen TO, Leung SCY, Rimm DL, Dodson A, Acs B, Badve S, Denkert C, Ellis MJ, Fineberg S, Flowers M, Kreipe HH, Laenkholm AV, Pan H, Penault-Llorca FM, Polley MY, Salgado R, Smith IE, Sugie T, Bartlett JMS, McShane LM, Dowsett M, Hayes DF. Assessment of Ki67 in Breast Cancer: Updated Recommendations From the International Ki67 in Breast Cancer Working Group. J Natl Cancer Inst 2020; 113:808-819. [PMID: 33369635 PMCID: PMC8487652 DOI: 10.1093/jnci/djaa201] [Citation(s) in RCA: 309] [Impact Index Per Article: 77.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Revised: 10/14/2020] [Accepted: 11/30/2020] [Indexed: 12/17/2022] Open
Abstract
Ki67 immunohistochemistry (IHC), commonly used as a proliferation marker in breast cancer, has limited value for treatment decisions due to questionable analytical validity. The International Ki67 in Breast Cancer Working Group (IKWG) consensus meeting, held in October 2019, assessed the current evidence for Ki67 IHC analytical validity and clinical utility in breast cancer, including the series of scoring studies the IKWG conducted on centrally stained tissues. Consensus observations and recommendations are: 1) as for estrogen receptor and HER2 testing, preanalytical handling considerations are critical; 2) a standardized visual scoring method has been established and is recommended for adoption; 3) participation in and evaluation of quality assurance and quality control programs is recommended to maintain analytical validity; and 4) the IKWG accepted that Ki67 IHC as a prognostic marker in breast cancer has clinical validity but concluded that clinical utility is evident only for prognosis estimation in anatomically favorable estrogen receptor–positive and HER2-negative patients to identify those who do not need adjuvant chemotherapy. In this T1-2, N0-1 patient group, the IKWG consensus is that Ki67 5% or less, or 30% or more, can be used to estimate prognosis. In conclusion, analytical validity of Ki67 IHC can be reached with careful attention to preanalytical issues and calibrated standardized visual scoring. Currently, clinical utility of Ki67 IHC in breast cancer care remains limited to prognosis assessment in stage I or II breast cancer. Further development of automated scoring might help to overcome some current limitations.
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Affiliation(s)
- Torsten O Nielsen
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Samuel C Y Leung
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David L Rimm
- Department of Pathology, Yale University School of Medicine, New Haven, CT, USA
| | - Andrew Dodson
- The UK National External Quality Assessment Scheme for Immunocytochemistry and In-Situ Hybridisation, London, UK
| | - Balazs Acs
- Department of Oncology and Pathology, Cancer Centre Karolinska (CCK), Karolinska Institutet, Stockholm, Sweden.,Department of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, Sweden
| | - Sunil Badve
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN, USA
| | - Carsten Denkert
- Philipps University Marburg and University Hospital Marburg, Marburg, Germany
| | - Matthew J Ellis
- Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, USA
| | - Susan Fineberg
- Montefiore Medical Center and the Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Hans H Kreipe
- Medical School Hannover, Institute of Pathology, Hannover, Germany
| | | | - Hongchao Pan
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Mei-Yin Polley
- Department of Public Health Sciences, University of Chicago Biological Sciences, Chicago, IL, USA
| | - Roberto Salgado
- Department of Pathology, GasthuisZusters Antwerpen / Hospital Network Antwerp (GZA-ZNA), Antwerp, Belgium.,Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Ian E Smith
- Breast Unit, Royal Marsden Hospital, London, UK
| | - Tomoharu Sugie
- Department of Surgery, Kansai Medical University, Shinmachi, Hirakata City, Osaka Prefecture, Japan
| | - John M S Bartlett
- Diagnostic Development Program, Ontario Institute for Cancer Research, Toronto, ON, Canada.,Edinburgh Cancer Research Centre, University of Edinburgh, Edinburgh, UK
| | - Lisa M McShane
- Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, MD, USA
| | - Mitch Dowsett
- Breast Cancer Now Toby Robins Research Centre, Institute of Cancer Research, London, UK
| | - Daniel F Hayes
- University of Michigan Rogel Cancer Center, Ann Arbor, MI, USA
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Smith I, Robertson J, Kilburn L, Wilcox M, Evans A, Holcombe C, Horgan K, Kirwan C, Mallon E, Sibbering M, Skene A, Vidya R, Cheang M, Banerji J, Morden J, Sidhu K, Dodson A, Bliss JM, Dowsett M. Long-term outcome and prognostic value of Ki67 after perioperative endocrine therapy in postmenopausal women with hormone-sensitive early breast cancer (POETIC): an open-label, multicentre, parallel-group, randomised, phase 3 trial. Lancet Oncol 2020; 21:1443-1454. [PMID: 33152284 PMCID: PMC7606901 DOI: 10.1016/s1470-2045(20)30458-7] [Citation(s) in RCA: 149] [Impact Index Per Article: 37.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/16/2020] [Accepted: 07/16/2020] [Indexed: 12/25/2022]
Abstract
Background Preoperative and perioperative aromatase inhibitor (POAI) therapy has the potential to improve outcomes in women with operable oestrogen receptor-positive primary breast cancer. It has also been suggested that tumour Ki67 values after 2 weeks (Ki672W) of POAI predicts individual patient outcome better than baseline Ki67 (Ki67B). The POETIC trial aimed to test these two hypotheses. Methods POETIC was an open-label, multicentre, parallel-group, randomised, phase 3 trial (done in 130 UK hospitals) in which postmenopausal women aged at least 50 years with WHO performance status 0–1 and hormone receptor-positive, operable breast cancer were randomly assigned (2:1) to POAI (letrozole 2·5 mg per day orally or anastrozole 1 mg per day orally) for 14 days before and following surgery or no POAI (control). Adjuvant treatment was given as per UK standard local practice. Randomisation was done centrally by computer-generated permuted block method (variable block size of six or nine) and was stratified by hospital. Treatment allocation was not masked. The primary endpoint was time to recurrence. A key second objective explored association between Ki67 (dichotomised at 10%) and disease outcomes. The primary analysis for clinical endpoints was by modified intention to treat (excluding patients who withdrew consent). For Ki67 biomarker association and endpoint analysis, the evaluable population included all randomly assigned patients who had paired Ki67 values available. This study is registered with ClinicalTrials.gov, NCT02338310; the European Clinical Trials database, EudraCT2007-003877-21; and the ISRCTN registry, ISRCTN63882543. Recruitment is complete and long-term follow-up is ongoing. Findings Between Oct 13, 2008, and April 16, 2014, 4480 women were recruited and randomly assigned to POAI (n=2976) or control (n=1504). On Feb 6, 2018, median follow-up was 62·9 months (IQR 58·1–74·1). 434 (10%) of 4480 women had a breast cancer recurrence (280 [9%] POAI; 154 [10%] control), hazard ratio 0·92 (95% CI 0·75–1·12); p=0·40 with the proportion free from breast cancer recurrence at 5 years of 91·0% (95% CI 89·9–92·0) for patients in the POAI group and 90·4% (88·7–91·9) in the control group. Within the POAI-treated HER2-negative subpopulation, 5-year recurrence risk in women with low Ki67B and Ki672W (low–low) was 4·3% (95% CI 2·9–6·3), 8·4% (6·8–10·5) with high Ki67B and low Ki672W (high–low) and 21·5% (17·1–27·0) with high Ki67B and Ki672W (high–high). Within the POAI-treated HER2-positive subpopulation, 5-year recurrence risk in the low–low group was 10·1% (95% CI 3·2–31·3), 7·7% (3·4–17·5) in the high–low group, and 15·7% (10·1–24·4) in the high–high group. The most commonly reported grade 3 adverse events were hot flushes (20 [1%] of 2801 patients in the POAI group vs six [<1%] of 1400 in the control group) and musculoskeletal pain (29 [1%] vs 13 [1%]). No treatment-related deaths were reported. Interpretation POAI has not been shown to improve treatment outcome, but can be used without detriment to help select appropriate adjuvant therapy based on tumour Ki67. Most patients with low Ki67B or low POAI-induced Ki672W do well with adjuvant standard endocrine therapy (giving consideration to clinical–pathological factors), whereas those whose POAI-induced Ki672W remains high might benefit from further adjuvant treatment or trials of new therapies. Funding Cancer Research UK.
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Affiliation(s)
- Ian Smith
- The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK.
| | - John Robertson
- University of Nottingham, Nottingham, UK; University Hospitals of Derby and Burton, Derby, UK
| | | | | | | | - Chris Holcombe
- Liverpool University Hospitals Foundation Trust, Liverpool, UK
| | | | - Cliona Kirwan
- University of Manchester and Manchester University NHS Foundation Trust, Manchester, UK
| | | | | | - Anthony Skene
- Royal Bournemouth and Christchurch NHS Foundation Trust, Bournemouth, UK
| | - Raghavan Vidya
- University of Birmingham and Royal Wolverhampton NHS Trust, Wolverhampton, UK
| | | | | | | | - Kally Sidhu
- The Royal Marsden NHS Foundation Trust, London, UK
| | | | | | - Mitch Dowsett
- The Royal Marsden NHS Foundation Trust, London, UK; The Institute of Cancer Research, London, UK
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50
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Walsh EM, Smith KL, Stearns V. Management of hormone receptor-positive, HER2-negative early breast cancer. Semin Oncol 2020; 47:187-200. [PMID: 32546323 PMCID: PMC7374796 DOI: 10.1053/j.seminoncol.2020.05.010] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Revised: 05/07/2020] [Accepted: 05/07/2020] [Indexed: 12/24/2022]
Abstract
The majority of breast cancers are diagnosed at an early stage and are hormone receptor (HR)-positive and human epidermal growth factor receptor 2 (HER2)-negative. Significant advances have been made in the management of early stage HR-positive, HER2-negative breast cancer, resulting in improved survival outcomes. In this review, we discuss important factors to consider in the management of this disease. In particular, we discuss the role of adjuvant endocrine therapy, specific endocrine therapy agents, the duration of adjuvant endocrine therapy, treatment-related side effects, and the role of genomic assays and other biomarkers when considering treatment recommendations for individuals with HR-positive, HER2-negative early breast cancer. Finally, we address emerging data to individualize therapeutic decision-making and provide future considerations.
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Affiliation(s)
- Elaine M Walsh
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD
| | - Karen L Smith
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD
| | - Vered Stearns
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, MD.
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