Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Focus on Computer Resources
      • Highly Cited Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Early Career Award
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citations
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Research
Cancer Research
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • Meeting Abstracts
    • Collections
      • COVID-19 & Cancer Resource Center
      • Focus on Computer Resources
      • Highly Cited Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Early Career Award
    • Best of: Author Profiles
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citations
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Poster Session Abstracts

Abstract P6-06-53: Ki67 labelling index (Ki67LI) can subdivide homogeneous HER2 negative luminal grading groups (HNL-GG) in distinct biological entities

A Ferro, LM Russo, C Eccher, R Triolo, M Barbareschi, A Caldara, M Dipasquale and E Galligioni
A Ferro
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
LM Russo
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
C Eccher
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
R Triolo
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M Barbareschi
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
A Caldara
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
M Dipasquale
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
E Galligioni
Santa Chiara Hospital, Trento, Italy; FBK, Trento, Italy
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/0008-5472.SABCS13-P6-06-53 Published December 2013
  • Article
  • Figures & Data
  • Info & Metrics
Loading
Abstracts: Thirty-Sixth Annual CTRC-AACR San Antonio Breast Cancer Symposium - Dec 10-14, 2013; San Antonio, TX

Abstract

Background: Several studies have emphasized Ki67LI biologic and prognostic value and its potential application of its assessment in routine practice, particularly to define prognostic subgroups of luminal/hormone receptor-positive (HR+) tumors.

Methods: Ki67LI was identified by immunohistochemical staining in 3760 EBC pts treated from 1995 to 2008. Median age was 61 y. The relationship with clinic-pathological parameters and the prognostic significance of KI67LI were investigated in all EBCs and in HER2 negative luminal (2380 HNL) cases stratified on homogeneous grading (594 G1, 1282 G2, 504 G3).

Results: Median Ki67LI values were 22% in all cases, 20% in HNL and 10, 20 and 35% in different HNL grading group (HNL-GG).

Ki67LI > 22% (1873 pts) was significantly (p<0.001) associated with younger age, ductal type, greater size, positive N, poor G, absent or low ER /PR expression, positive HER-2, triple negative subtypes.

Local and Distant Relapses were 138 (7.3%) and 355 (18.9%) in < or > 22% Ki67LI respectively. Median time to first event was 31.7 ms in > 22% vs 50.1 ms in < 22% Ki67. At median f-up of 77 months EFS and OS were 91.9 and 92.1% in < 22% vs 78.9% and 81% in > 22% Ki67 respectively (p <0.001).

Prognosis in term of DFS and OS was consistently worse for > 22% compared to < 22% Ki 67 in all clinical-pathological subsets, except in negative ER group. In multivariate analysis, KI 67mantained an independent prognostic significance for DFS and OS.

In HNL, EFS and OS were 93.7 and 92% in < 20% vs 81.7 and 83.3% in >20% Ki67(p <0.001). Using median ki67LI value for different homogenous HNL-GG as cutoffs, we stratified these populations in low and high risk. The results are shown in the following table.

View this table:
  • View inline
  • View popup

Stratification in high and low risk subgroups of homogeneous HNL-GG

Conclusions: Our study confirms prognostic value of Ki67LI in EBC, associated with other clinical-pathological characteristics. Cutoffs are different into HNL-GG. They can cathegorize at least two biological entities in every grading group providing additional prognostic information in planning therapies and outcome prediction.

Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-06-53.

Previous
Back to top
Cancer Research: 73 (24 Supplement)
December 2013
Volume 73, Issue 24 Supplement
  • Table of Contents

Sign up for alerts

Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Research article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Abstract P6-06-53: Ki67 labelling index (Ki67LI) can subdivide homogeneous HER2 negative luminal grading groups (HNL-GG) in distinct biological entities
(Your Name) has forwarded a page to you from Cancer Research
(Your Name) thought you would be interested in this article in Cancer Research.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Abstract P6-06-53: Ki67 labelling index (Ki67LI) can subdivide homogeneous HER2 negative luminal grading groups (HNL-GG) in distinct biological entities
A Ferro, LM Russo, C Eccher, R Triolo, M Barbareschi, A Caldara, M Dipasquale and E Galligioni
Cancer Res December 15 2013 (73) (24 Supplement) P6-06-53; DOI: 10.1158/0008-5472.SABCS13-P6-06-53

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Abstract P6-06-53: Ki67 labelling index (Ki67LI) can subdivide homogeneous HER2 negative luminal grading groups (HNL-GG) in distinct biological entities
A Ferro, LM Russo, C Eccher, R Triolo, M Barbareschi, A Caldara, M Dipasquale and E Galligioni
Cancer Res December 15 2013 (73) (24 Supplement) P6-06-53; DOI: 10.1158/0008-5472.SABCS13-P6-06-53
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
  • Figures & Data
  • Info & Metrics
Advertisement

Related Articles

Cited By...

More in this TOC Section

Poster Session Abstracts

  • Abstract P6-05-05: The estrogen switch: Estrogen receptor alpha levels determine the proliferative response to estrogen
  • Abstract P6-08-26: Clinical characteristics of breast cancer patients with ATM mutations
  • Abstract P6-06-18: Promyelocytic leukemia (PML) is induced by tumor-associated macrophages (TAMs) in breast cancer
Show more Poster Session Abstracts

Poster Session 6: Prognosis and Response Prediction: Prognostic and Predictive Factors - General

  • Abstract P6-06-48: Breast cancer subtypes and metastatic pattern at the Regional Breast Center Dresden
  • Abstract P6-06-44: Role of uPA and PAI-1 mRNA expression as prognostic factors in molecular subtypes of breast cancer
  • Abstract P6-06-28: Survival gain in patients with de novo metastatic breast cancer in past two decades is largely attributable to treatment
Show more Poster Session 6: Prognosis and Response Prediction: Prognostic and Predictive Factors - General
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook  Twitter  LinkedIn  YouTube  RSS

Articles

  • Online First
  • Current Issue
  • Past Issues
  • Meeting Abstracts

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Research

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Research Online ISSN: 1538-7445
Cancer Research Print ISSN: 0008-5472
Journal of Cancer Research ISSN: 0099-7013
American Journal of Cancer ISSN: 0099-7374

Advertisement