Literature DB >> 33991247

Prognostic relevance of Ki67 expression in primary male breast cancer: determination of cut-off points by different evaluation methods and statistical examinations.

Melanie Erices-Leclercq1, Sabine Lubig1, Frank Förster2,3, Robert Förster4,5, Stefan Baldus6, Christian Rudlowski7,8, Lars Schröder9.   

Abstract

PURPOSE: 1% of all breast cancer cases occur in men. There are significant differences regarding clinical behaviour and genetic profiles between female (FBC) and male breast cancer (MBC). Parameters for decision-making on treatment and prognosis are derived from FBC. Ki67 has a high value as a prognostic and predictive factor in FBC, but accurate Ki67 cut-off points for MBC are missing. In this study, we aimed to evaluate adequate examination methods and reliable cut-off points for Ki67 to assess the highest prognostic value for patient's overall survival (OS).
METHODS: In this multicentric retrospective study, histological specimens were obtained from 104 male patients who were diagnosed and treated for primary invasive breast cancer. We applied three methods of Ki67 analysis: Tumor average scoring (TA), tumor border scoring (TB) and hot-spot scoring (HS). Calculated Ki67 cut-off points for each method were assessed as a threshold for patients' overall survival (OS).
RESULTS: Ki67 cut-off points were 13.5 for the TA group, 22.5 for the HS group and 17.5 for the TB group. Only Ki67 TA cut-off calculations demonstrated statistical significance (p = 0.04). Ki67 expression analysis of TA showed that more than 90% of patients with low Ki67 levels (< 13.5) were alive after 5-year follow-up.
CONCLUSION: Our findings demonstrate that determination of Ki67 expression in TA is the most reliable to define a cut-off point with high prognostic value. A Ki67 cut-off point of 13.5 shows highest statistical power to define luminal A subgroup and OS.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Cut-off point; Ki67; Male breast cancer; Overall survival; Prognosis

Mesh:

Substances:

Year:  2021        PMID: 33991247     DOI: 10.1007/s00432-021-03623-5

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  26 in total

1.  Tailoring therapies--improving the management of early breast cancer: St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2015.

Authors:  A S Coates; E P Winer; A Goldhirsch; R D Gelber; M Gnant; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2015-05-04       Impact factor: 32.976

2.  Characterization of male breast cancer: results of the EORTC 10085/TBCRC/BIG/NABCG International Male Breast Cancer Program.

Authors:  F Cardoso; J M S Bartlett; L Slaets; C H M van Deurzen; E van Leeuwen-Stok; P Porter; B Linderholm; I Hedenfalk; C Schröder; J Martens; J Bayani; C van Asperen; M Murray; C Hudis; L Middleton; J Vermeij; K Punie; J Fraser; M Nowaczyk; I T Rubio; S Aebi; C Kelly; K J Ruddy; E Winer; C Nilsson; L Dal Lago; L Korde; K Benstead; O Bogler; T Goulioti; A Peric; S Litière; K C Aalders; C Poncet; K Tryfonidis; S H Giordano
Journal:  Ann Oncol       Date:  2018-02-01       Impact factor: 32.976

3.  Breast carcinoma in men: a population-based study.

Authors:  Sharon H Giordano; Deborah S Cohen; Aman U Buzdar; George Perkins; Gabriel N Hortobagyi
Journal:  Cancer       Date:  2004-07-01       Impact factor: 6.860

4.  Ki67 levels as predictive and prognostic parameters in pretherapeutic breast cancer core biopsies: a translational investigation in the neoadjuvant GeparTrio trial.

Authors:  C Denkert; S Loibl; B M Müller; H Eidtmann; W D Schmitt; W Eiermann; B Gerber; H Tesch; J Hilfrich; J Huober; T Fehm; J Barinoff; C Jackisch; J Prinzler; T Rüdiger; E Erbstösser; J U Blohmer; J Budczies; K M Mehta; G von Minckwitz
Journal:  Ann Oncol       Date:  2013-08-22       Impact factor: 32.976

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

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

6.  Selection of Optimal Adjuvant Chemotherapy and Targeted Therapy for Early Breast Cancer: ASCO Guideline Update.

Authors:  Neelima Denduluri; Mark R Somerfield; Mariana Chavez-MacGregor; Amy H Comander; Zoneddy Dayao; Andrea Eisen; Rachel A Freedman; Ragisha Gopalakrishnan; Stephanie L Graff; Michael J Hassett; Tari A King; Gary H Lyman; Gillian Rice Maupin; Raquel Nunes; Cheryl L Perkins; Melinda L Telli; Maureen E Trudeau; Antonio C Wolff; Sharon H Giordano
Journal:  J Clin Oncol       Date:  2020-10-20       Impact factor: 44.544

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

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

8.  Male breast cancer: clinicopathological characterization of a National Danish cohort 1980-2009.

Authors:  Anne Marie Bak Jylling; Vibeke Jensen; Giedrius Lelkaitis; Peer Christiansen; Sarah Schulz Nielsen; Marianne Djernes Lautrup
Journal:  Breast Cancer       Date:  2020-02-27       Impact factor: 4.239

9.  Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer.

Authors:  Maggie C U Cheang; Stephen K Chia; David Voduc; Dongxia Gao; Samuel Leung; Jacqueline Snider; Mark Watson; Sherri Davies; Philip S Bernard; Joel S Parker; Charles M Perou; Matthew J Ellis; Torsten O Nielsen
Journal:  J Natl Cancer Inst       Date:  2009-05-12       Impact factor: 13.506

10.  Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013.

Authors:  A Goldhirsch; E P Winer; A S Coates; R D Gelber; M Piccart-Gebhart; B Thürlimann; H-J Senn
Journal:  Ann Oncol       Date:  2013-08-04       Impact factor: 32.976

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.