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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BMC
2024-12-01
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| Series: | Surgical and Experimental Pathology |
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| 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. |
| format | Article |
| id | doaj-art-b3cd631bca294fcc9b43d9c3277b07ed |
| institution | Kabale University |
| issn | 2520-8454 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Surgical and Experimental Pathology |
| 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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