﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Academy of Medical Sciences of I.R. Iran</PublisherName>
      <JournalTitle>Archives of Iranian Medicine</JournalTitle>
      <Issn>1029-2977</Issn>
      <Volume>24</Volume>
      <Issue>11</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2021</Year>
        <Month>11</Month>
        <DAY>01</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>Comparison of Different Molecular Subtypes with 14% Ki-67 Cut-off Threshold in Breast Cancer Patients of Pakistan- An Indication of Poor Prognosis</ArticleTitle>
    <FirstPage>837</FirstPage>
    <LastPage>844</LastPage>
    <ELocationID EIdType="doi">10.34172/aim.2021.124</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Mehreen</FirstName>
        <LastName>Mushtaq</LastName>
      </Author>
      <Author>
        <FirstName>Summaya Sohail</FirstName>
        <LastName>Chaudry</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-1395-6960</Identifier>
      </Author>
      <Author>
        <FirstName>Ahmareen</FirstName>
        <LastName>Khalid Sheikh</LastName>
      </Author>
      <Author>
        <FirstName>Nazia</FirstName>
        <LastName>Khan</LastName>
      </Author>
      <Author>
        <FirstName>Asma</FirstName>
        <LastName>Khattak</LastName>
      </Author>
      <Author>
        <FirstName>Aisha</FirstName>
        <LastName>Akbar</LastName>
      </Author>
      <Author>
        <FirstName>Ashok Kumar</FirstName>
        <LastName>Tanwani</LastName>
      </Author>
      <Author>
        <FirstName>Tanwir</FirstName>
        <LastName>Khaliq</LastName>
      </Author>
      <Author>
        <FirstName>Muhammad Faraz Arshad</FirstName>
        <LastName>Malik</LastName>
      </Author>
      <Author>
        <FirstName>Syeda Kiran</FirstName>
        <LastName>Riaz</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0001-7965-4178</Identifier>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/aim.2021.124</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>10</Month>
        <Day>08</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>12</Month>
        <Day>15</Day>
      </PubDate>
    </History>
    <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. </Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Breast cancer</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">IHC4</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Ki-67 index</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Molecular subtypes</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Prognosis</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>