Literature DB >> 26283598

Strategies for developing Ki67 as a useful biomarker in breast cancer.

Carsten Denkert1, Jan Budczies2, Gunter von Minckwitz3, Stephan Wienert4, Sibylle Loibl3, Frederick Klauschen2.   

Abstract

Increased proliferation is a hallmark of malignant tumors. The proliferation marker Ki67 has been investigated as a breast cancer biomarker, but despite 32 years of research the best cutpoints and the best methods for determination are still under debate. This review is based on an overview on the efforts to standardize Ki67 and to optimize its performance that was presented at the St. Gallen oncology conference 2015. The clinical validity of Ki67 as a prognostic marker as well as a predictive marker (in the neoadjuvant setting) has been shown in several meta-analyses. Depending on cohort characteristics, molecular subtype and clinical setting, Ki67 is a prognostic marker, a predictive marker, or both. Many different cutpoints for Ki67 have been reported, but it is has not been possible to determine an evidence-based "optimal" cutpoint. This supports the view that Ki67 is continuous marker, reflecting the continuous variation of the proliferation rate in different tumors. We should probably stop looking for an "optimal" cutpoint for Ki67 because it simply does not exist. It is evident from the results of several ring trials that intermediate levels of Ki67 are particularly difficult for standardization. Due to the low analytical validity in the intermediate range as well as intratumoral heterogeneity, the clinical utility of intermediate Ki67 levels is limited. Clinical decisions should not be based on small differences in the intermediate range and additional molecular tests might be necessary for tumors with intermediate Ki67 levels. For the two groups of tumors with a very low or a very high Ki67 a clinical interpretation could be straightforward. Despite these limitations, the assessment of proliferation is a central parameter for tumor characterization and an important element of the pathological assessment.
Copyright © 2015. Published by Elsevier Ltd.

Entities:  

Keywords:  Gene expression profiling; Human breast carcinoma; Molecular pathology; Prognosis

Mesh:

Substances:

Year:  2015        PMID: 26283598     DOI: 10.1016/j.breast.2015.07.017

Source DB:  PubMed          Journal:  Breast        ISSN: 0960-9776            Impact factor:   4.380


  54 in total

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

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

2.  Is Ki67 prognostic for aggressive prostate cancer? A multicenter real-world study.

Authors:  Joseph J Fantony; Lauren E Howard; Ilona Csizmadi; Andrew J Armstrong; Amy L Lark; Colette Galet; William J Aronson; Stephen J Freedland
Journal:  Biomark Med       Date:  2018-06-15       Impact factor: 2.851

3.  The implementation of a commercially available multi-gene profile test for breast cancer characterization in a department of pathology: what have we learned from the first 100 cases?

Authors:  Cristina Pelliccia; Emanuele Caselli; Martina Mandarano; Rachele Del Sordo; Guido Bellezza; Angelo Sidoni
Journal:  Virchows Arch       Date:  2021-01-06       Impact factor: 4.064

Review 4.  Neoadjuvant Trials in ER+ Breast Cancer: A Tool for Acceleration of Drug Development and Discovery.

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

5.  Concordance of the molecular subtype classification between core needle biopsy and surgical specimen in primary breast cancer.

Authors:  M Pölcher; M Braun; M Tischitz; M Hamann; N Szeterlak; A Kriegmair; C Brambs; C Becker; O Stoetzer
Journal:  Arch Gynecol Obstet       Date:  2021-02-14       Impact factor: 2.344

6.  High neuronatin (NNAT) expression is associated with poor outcome in breast cancer.

Authors:  Norbert Nass; Sarah Walter; Dörthe Jechorek; Christine Weissenborn; Atanas Ignatov; Johannes Haybaeck; Saadettin Sel; Thomas Kalinski
Journal:  Virchows Arch       Date:  2017-05-24       Impact factor: 4.064

7.  Axillary nodal involvement by primary tumor features in early breast cancer: an analysis of 2600 patients.

Authors:  M C De Santis; E La Rocca; E Meneghini; G Bregni; G Di Lorenzo; G Galli; M Di Nicola; S Folli; M Gennaro; G Pruneri; B Paolini; M G Daidone; F De Braud; G Apolone; M Sant; S Di Cosimo
Journal:  Clin Transl Oncol       Date:  2019-08-01       Impact factor: 3.405

8.  High expression of FOXR2 in breast cancer correlates with poor prognosis.

Authors:  Haiping Song; Wenshan He; Xiaoqing Huang; Huiqiong Zhang; Tao Huang
Journal:  Tumour Biol       Date:  2015-11-23

9.  Multi-color clonal tracking reveals intra-stage proliferative heterogeneity during mammary tumor progression.

Authors:  Stefanie Tiede; Ravi Kiran Reddy Kalathur; Fabiana Lüönd; Luca von Allmen; Barbara Maria Szczerba; Mathias Hess; Tatjana Vlajnic; Benjamin Müller; James Canales Murillo; Nicola Aceto; Gerhard Christofori
Journal:  Oncogene       Date:  2020-10-12       Impact factor: 9.867

Review 10.  Management of hormone receptor-positive, HER2-negative early breast cancer.

Authors:  Elaine M Walsh; Karen L Smith; Vered Stearns
Journal:  Semin Oncol       Date:  2020-06-03       Impact factor: 4.929

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