Imaging features of breast cancer molecular subtypes: An Updated Review of the Literature

Mohammed, Ebtsam Ahmed; Solyman, Mohammad Tharwat Mahmoud; Omar, Nagwa M.; Hasan, Nahla Mohamed Ali

doi:10.21608/svuijm.2021.104214.1238

Cited by 3 publications

(1 citation statement)

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“…Globally, breast cancer is the leading cause of cancer deaths in women ( 2 , 3 ). Based on gene profiling, breast cancer can be classified into five molecular subtypes - Luminal A, Luminal B, Human epidermal growth factor receptor 2 (HER2), Basal-like, and Triple-negative breast cancer (TNBC) ( 4 ). Although these classifications are not static, ongoing research may lead to refinements or the discovery of new subtypes.…”

Section: Introductionmentioning

confidence: 99%

Cellular interactions in tumor microenvironment during breast cancer progression: new frontiers and implications for novel therapeutics

Akinsipe,

Mohamedelhassan,

Akinpelu

et al. 2024

Front. Immunol.

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The breast cancer tumor microenvironment (TME) is dynamic, with various immune and non-immune cells interacting to regulate tumor progression and anti-tumor immunity. It is now evident that the cells within the TME significantly contribute to breast cancer progression and resistance to various conventional and newly developed anti-tumor therapies. Both immune and non-immune cells in the TME play critical roles in tumor onset, uncontrolled proliferation, metastasis, immune evasion, and resistance to anti-tumor therapies. Consequently, molecular and cellular components of breast TME have emerged as promising therapeutic targets for developing novel treatments. The breast TME primarily comprises cancer cells, stromal cells, vasculature, and infiltrating immune cells. Currently, numerous clinical trials targeting specific TME components of breast cancer are underway. However, the complexity of the TME and its impact on the evasion of anti-tumor immunity necessitate further research to develop novel and improved breast cancer therapies. The multifaceted nature of breast TME cells arises from their phenotypic and functional plasticity, which endows them with both pro and anti-tumor roles during tumor progression. In this review, we discuss current understanding and recent advances in the pro and anti-tumoral functions of TME cells and their implications for developing safe and effective therapies to control breast cancer progress.

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Section: Introductionmentioning

confidence: 99%

Cellular interactions in tumor microenvironment during breast cancer progression: new frontiers and implications for novel therapeutics

Akinsipe,

Mohamedelhassan,

Akinpelu

et al. 2024

Front. Immunol.

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Relation between morphological features of initial breast MRI and breast cancer molecular subtypes

Temerik,

Elwahab,

Wahman

et al. 2023

Egypt J Radiol Nucl Med

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Background Because different gene receptors might cause each case of breast cancer, the disease is classified as a heterogeneous form because it can be subdivided into molecular subtypes. These molecular subtypes are different in disease manifestation, therapeutic response, and prognosis. Magnetic resonance imaging (MRI) has many applications in breast cancer's initial diagnosis and assessment of treatment response. The purpose of this research was to determine whether or not there is a correlation between specific morphological aspects of breast MRI in breast cancer and specific breast cancer subtypes and their impact on treatment decisions. Results There was an insignificant difference between different mass shapes and different molecular subtypes (P > 0.05). One hundred percent of triple-negative breast cancers (TNBC) were rounded. Molecular subtypes and the spiculated mass border diverged significantly statistically (P = 0.023). The percentage of the hormonal receptor (HR)-positive breast cancers with a spiculated border (80%) was greater than TNBC (0%) and distinctively different (P = 0.044). Surgical alternatives were observed to correlate significantly with the MRI mass border type (P = 0.030). There was an insignificant difference between molecular subtypes and tumor size (P = 0.602), lymph nodes (P = 0.283), multicentricity (P = 0.386), and curve type (P = 0.107). Conclusions MRI breast imaging has an important role in diagnostic and prognostic settings. The morphological results of MRI can be a helpful tool in distinguishing between the various subtypes of breast cancer. There was a statistically significant difference between different molecular subtypes and the spiculated mass border (P = 0.023). There was a statistically significant difference between the type of breast cancer surgery and the mass border (P = 0.030).

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Radiology–pathology correlation of hormonal subtypes of breast cancer based on mammography, ultrasound, and PET imaging

Dsilva,

Shivalingappa,

Sampangi

2024

Egypt J Radiol Nucl Med

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Background Breast cancer is one of the most common cancers among the female population globally and a major cause of death due to cancers among women. It has been classified into histopathological, hormonal, and molecular subtypes based on hormone receptor status. Their management involves a multidisciplinary approach depending on these subtypes, TNM staging, tumour size, and site. The purpose of this study was to assess the correlation between ultrasound and mammography characteristics and the maximum standardized uptake value on PET with hormonal subtypes of breast cancer. Methods It was a retrospective study from a single-centre data available for 8 months. In this study, 5 hormonal subtypes were considered; Luminal A, Luminal B, Luminal HER2-positive subtype, HER2-enriched subtype, and triple-negative subtype. The morphology of the lesions analysed on mammography and sonography and the SUV max value on PET were considered for analyses. The prediction performance of these features for the hormonal subtypes of breast cancers was then analysed. Results Luminal A and B subtypes of breast cancer had indistinct margins with posterior acoustic shadowing on ultrasound. Triple-negative subtypes were well-circumscribed lesions with posterior acoustic enhancement on ultrasound. HER2-positive lesions characteristically had pleomorphic microcalcifications with mixed posterior acoustic features on mammography. On PET, HER2-enriched cases had the highest SUV, and the Luminal A subtype had the lowest SUV. Conclusion According to our observations, there are certain typical morphological imaging characteristics for each hormonal subtype of breast cancer. These imaging modalities may help radiologists and clinicians in stratifying their patients for prognostication and better management.

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Imaging features of breast cancer molecular subtypes: An Updated Review of the Literature

Cited by 3 publications

References 0 publications

Cellular interactions in tumor microenvironment during breast cancer progression: new frontiers and implications for novel therapeutics

Cellular interactions in tumor microenvironment during breast cancer progression: new frontiers and implications for novel therapeutics

Relation between morphological features of initial breast MRI and breast cancer molecular subtypes

Radiology–pathology correlation of hormonal subtypes of breast cancer based on mammography, ultrasound, and PET imaging

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