Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis

Abstract Background The prevalence of breast cancer is increasing globally and its early detection is the need of hour for giving the patient a long disease-free meaningful life. The latest management regimes depend upon the biological behavior of the breast cancer that itself relies upon expression...

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Main Authors: Nidhi Rana, Shruti Thakur, Vijay Thakur, Arun Chauhan, Anchana Gulati, Sushma Makhaik
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Surgical and Experimental Pathology
Subjects:
Online Access:https://doi.org/10.1186/s42047-024-00169-x
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author Nidhi Rana
Shruti Thakur
Vijay Thakur
Arun Chauhan
Anchana Gulati
Sushma Makhaik
author_facet Nidhi Rana
Shruti Thakur
Vijay Thakur
Arun Chauhan
Anchana Gulati
Sushma Makhaik
author_sort Nidhi Rana
collection DOAJ
description Abstract Background The prevalence of breast cancer is increasing globally and its early detection is the need of hour for giving the patient a long disease-free meaningful life. The latest management regimes depend upon the biological behavior of the breast cancer that itself relies upon expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (Her 2) neu status for its molecular subtyping. Aim To determine the predictive value of mammographic parameters in identifying the estrogen and progesterone hormone receptor status, human epidermal growth factor receptor 2 (Her 2) neu expression and molecular subtypes of breast cancer. Methods A prospective observational study was conducted from January 2021 to September 2022 in a tertiary care institute. The study enrolled 51 females with histopathologically proven invasive breast carcinoma. The patients underwent digital mammography followed by tissue biopsy. Mammographic parameters were based on Breast Imaging-Reporting and Data System (BI-RADS) imaging features. The molecular subtypes of breast cancer were grouped into four subtypes based on St. Gallen International Expert Consensus Panel 2013. The mammographic features were then statistically correlated with molecular subtypes of breast cancer. Results Luminal type A was the most common molecular subtype in our study [ 17 (33.33%)] followed by triple negative type [10(19.61%)]. Tumors with non-circumscribed margins were predicted to be Luminal A or Luminal B subtype (p value < 0.02). Tumor with microcalcification was strongly predicted to be Her 2 subtype with a statistically significant association (p value < 0.001). Circumscribed tumors with absence of microcalcification were predicted to be triple-negative type of breast cancer. Conclusions Key features in mammography were significantly associated with breast cancer molecular subtypes. Knowledge of such correlations could help clinicians stratify breast cancer patients according to their likely molecular subtypes, potentially enabling earlier, more effective treatment or aiding in therapeutic decisions in countries where immunohistochemical (IHC) hormone receptor and Her 2 testing is not readily available.
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spelling doaj-art-b3cd631bca294fcc9b43d9c3277b07ed2024-12-15T12:07:50ZengBMCSurgical and Experimental Pathology2520-84542024-12-017111010.1186/s42047-024-00169-xMammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysisNidhi Rana0Shruti Thakur1Vijay Thakur2Arun Chauhan3Anchana Gulati4Sushma Makhaik5Department of Radiodiagnosis, Indira Gandhi Medical College and HospitalDepartment of Radiodiagnosis, Indira Gandhi Medical College and HospitalDepartment of Radiodiagnosis, Indira Gandhi Medical College and HospitalDepartment of Surgery, IGMCDepartment of Pathology, IGMCDepartment of Radiodiagnosis, Indira Gandhi Medical College and HospitalAbstract Background The prevalence of breast cancer is increasing globally and its early detection is the need of hour for giving the patient a long disease-free meaningful life. The latest management regimes depend upon the biological behavior of the breast cancer that itself relies upon expression of estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor 2 (Her 2) neu status for its molecular subtyping. Aim To determine the predictive value of mammographic parameters in identifying the estrogen and progesterone hormone receptor status, human epidermal growth factor receptor 2 (Her 2) neu expression and molecular subtypes of breast cancer. Methods A prospective observational study was conducted from January 2021 to September 2022 in a tertiary care institute. The study enrolled 51 females with histopathologically proven invasive breast carcinoma. The patients underwent digital mammography followed by tissue biopsy. Mammographic parameters were based on Breast Imaging-Reporting and Data System (BI-RADS) imaging features. The molecular subtypes of breast cancer were grouped into four subtypes based on St. Gallen International Expert Consensus Panel 2013. The mammographic features were then statistically correlated with molecular subtypes of breast cancer. Results Luminal type A was the most common molecular subtype in our study [ 17 (33.33%)] followed by triple negative type [10(19.61%)]. Tumors with non-circumscribed margins were predicted to be Luminal A or Luminal B subtype (p value < 0.02). Tumor with microcalcification was strongly predicted to be Her 2 subtype with a statistically significant association (p value < 0.001). Circumscribed tumors with absence of microcalcification were predicted to be triple-negative type of breast cancer. Conclusions Key features in mammography were significantly associated with breast cancer molecular subtypes. Knowledge of such correlations could help clinicians stratify breast cancer patients according to their likely molecular subtypes, potentially enabling earlier, more effective treatment or aiding in therapeutic decisions in countries where immunohistochemical (IHC) hormone receptor and Her 2 testing is not readily available.https://doi.org/10.1186/s42047-024-00169-xBreast cancerMammographyMicrocalcificationMolecular subtypeHormone receptor
spellingShingle Nidhi Rana
Shruti Thakur
Vijay Thakur
Arun Chauhan
Anchana Gulati
Sushma Makhaik
Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
Surgical and Experimental Pathology
Breast cancer
Mammography
Microcalcification
Molecular subtype
Hormone receptor
title Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
title_full Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
title_fullStr Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
title_full_unstemmed Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
title_short Mammographic parameters as predictors of molecular subtype of breast cancer: a prospective analysis
title_sort mammographic parameters as predictors of molecular subtype of breast cancer a prospective analysis
topic Breast cancer
Mammography
Microcalcification
Molecular subtype
Hormone receptor
url https://doi.org/10.1186/s42047-024-00169-x
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AT arunchauhan mammographicparametersaspredictorsofmolecularsubtypeofbreastcanceraprospectiveanalysis
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