Logo-aim
Arch Iran Med. 2021;24(11): 837-844.
doi: 10.34172/aim.2021.124

Scopus ID: 85121037203
  Abstract View: 2075
  PDF Download: 1183

Original Article

Comparison of Different Molecular Subtypes with 14% Ki-67 Cut-off Threshold in Breast Cancer Patients of Pakistan- An Indication of Poor Prognosis

Mehreen Mushtaq 1,2, Summaya Sohail Chaudry 1 ORCID logo, Ahmareen Khalid Sheikh 1, Nazia Khan 1, Asma Khattak 1, Aisha Akbar 3, Ashok Kumar Tanwani 1, Tanwir Khaliq 4, Muhammad Faraz Arshad Malik 5, Syeda Kiran Riaz 1,5,6* ORCID logo

1 Department of Pathology, Shaheed Zulfiqar Ali Bhutto Medical University, Pakistan Institute of Medical Sciences, Islamabad, Pakistan
2 Armed Forces Institute of Pathology, Rawalpindi, Pakistan
3 Rawal Institute of Health Sciences, Islamabad, Pakistan
4 Department of Surgery, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan
5 Department of Biosciences, COMSATS University Islamabad, Pakistan
6 Department of Molecular Biology, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan
*Corresponding Author: *Corresponding Author: Syeda Kiran Riaz, PhD; Department of Molecular Biology, Shaheed Zulfiqar Ali Bhutto Medical University, Pakistan Institute of Medical Sciences, Islamabad, Pakistan. Tel: +92519107511; Mobile: +923315395814; Email: , Email: syedakiranriaz@szabmu.edu.pk

Abstract

Background: Ki-67 is a proliferation marker that is used not only to categorize patients in luminal A and B subtypes of breast cancers, but also to determine the aggressiveness of the disease in triple negative and human epidermal growth factor 2 (HER2) over expressed molecular subtypes. The present study was designed to evaluate the role of Ki-67 with cut off value of 14% in molecular subgroups and its association with patient prognosis.

Methods: Immunostaining was performed on histopathologically confirmed sections (n = 278) to assess expression of Ki-67, estrogen receptor (ER), progesterone receptor (PR) and HER2. Immunoreactivity of molecules was recorded as percentage scoring.

Results: Adopting a cut off value of 14%, Ki-67 was high in 88%of the cases included in the study. High Ki-67 was significantly associated with pathological parameters including histological grade, advanced stage and nodal/distant metastasis. Immunoexpression of ER, PR and HER2 also showed strong correlation with high expression of Ki-67. Based on the St. Gallen classification, the cases were categorized into luminal A (10%) and luminal B (51%), triple negative (20%) and HER2 enriched (18%). Ki-67 index was also significantly high in 98% of HER2 enriched and 95% of TNBC patients. Interestingly, Ki-67 score with cut off value of 14% proved to be significant in deciphering prognosis in luminal patients. Moreover, high expression of Ki-67 also proved to be a marker of poor prognosis, especially in triple negative patients.

Conclusion: We suggest that utilization of IHC4 status i.e. ER, PR, HER2 and Ki-67 along with pathological findings and molecular subtyping can considerably affect clinical as well as therapeutic decisions.



Cite this article as: Mushtaq M, Chaudry SS, Khalid Sheikh A, Khan N, Khattak A, Akbar A, et al. Comparison of different molecular subtypes with 14% ki-67 cut-off threshold in breast cancer patients of pakistan- an indication of poor prognosis. Arch Iran Med. 2021;24(11):837-844. doi: 10.34172/aim.2021.124
First Name
Last Name
Email Address
Comments
Security code


Abstract View: 2076

Your browser does not support the canvas element.


PDF Download: 1183

Your browser does not support the canvas element.

Submitted: 08 Oct 2020
Revision: 25 Nov 2020
Accepted: 15 Dec 2020
ePublished: 01 Nov 2021
EndNote EndNote

(Enw Format - Win & Mac)

BibTeX BibTeX

(Bib Format - Win & Mac)

Bookends Bookends

(Ris Format - Mac only)

EasyBib EasyBib

(Ris Format - Win & Mac)

Medlars Medlars

(Txt Format - Win & Mac)

Mendeley Web Mendeley Web
Mendeley Mendeley

(Ris Format - Win & Mac)

Papers Papers

(Ris Format - Win & Mac)

ProCite ProCite

(Ris Format - Win & Mac)

Reference Manager Reference Manager

(Ris Format - Win only)

Refworks Refworks

(Refworks Format - Win & Mac)

Zotero Zotero

(Ris Format - Firefox Plugin)