Association between mammographic features and clinicopathological characteristics in invasive ductal carcinoma of breast cancer

Sun, Shanshan; Zhang, Bin; Zhao, Hongmeng; Cao, Xuchen

doi:10.3892/mco.2014.297

Cited by 19 publications

(14 citation statements)

References 23 publications

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“…In this study we report the largest and most detailed somatic genetic analysis of these two cohorts to gain insights into the mechanism of cancer predisposition associated with MD. The clinico-pathological features of our cohort are largely consistent with data reported in other studies 18 , 19 showing cancers arising in the highest quintiles were more likely to be associated with younger age at diagnosis, an interval cancer diagnosis and a strong family history of breast cancer 20 – 22 .…”

Section: Discussionsupporting

confidence: 89%

The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density

et al. 2020

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Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (n = 842) were identified from the Lifepool cohort of >54,000 women participating in populationbased mammographic screening. This group included 142 carcinomas in the lowest quintile of MD and 119 carcinomas in the highest quintile. Clinico-pathological and family history information were recorded. Tumor DNA was collected where available (n = 56) and sequenced for breast cancer predisposition and driver gene mutations, including copy number alterations. Compared to carcinomas from low-MD breasts, those from high-MD breasts were significantly associated with a younger age at diagnosis and features associated with poor prognosis. Low-and high-MD carcinomas matched for grade, histological subtype, and hormone receptor status were compared for somatic genetic features. Low-MD carcinomas had a significantly increased frequency of TP53 mutations, higher homologous recombination deficiency, higher fraction of the genome altered, and more copy number gains on chromosome 1q and losses on 17p. While high-MD carcinomas showed enrichment of tumor-infiltrating lymphocytes in the stroma. The data demonstrate that when tumors were matched for confounding clinico-pathological features, a proportion in the lowest quintile of MD appear biologically distinct, reflective of microenvironment differences between the lowest and highest quintiles of MD.

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Section: Discussionsupporting

confidence: 89%

The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density

et al. 2020

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“…In a study by Sun et al in 2014, the ratio of malignant calcifications was significantly high in HER2/neu positive cases. [16] Similar findings were reported by Wang et al in 2008. [15] In a systematic review and meta-analysis by Elias et al in 2014, it was found that the presence of microcalcifications increased the chance of HER2/neu overexpression, which was not dependant on the presence or absence of associated mass.…”

Section: Discussionsupporting

confidence: 85%

Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status

Sonthineni

Mohindra

Agrawal

et al. 2019

South Asian J Cancer

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Context: Breast cancer is a heterogeneous disease with several histological subtypes. Its prognosis and management are influenced by human epidermal growth factor receptor type 2 (HER2/neu) expression. Varying grades of HER2/neu overexpression are likely to have different morphological features. Digital breast tomosynthesis (DBT) enhances lesion visibility and hence that it may reveal features closer to histomorphological findings. Aims: The aim of this study is to correlate digital mammography (DM) and DBT findings of self-detected tumors with HER2/neu status, to determine whether differences in imaging features can help predict the degrees of HER2/neu overexpression. Settings and Design: Prospective study conducted in a tertiary care hospital. Methods: For 100 consecutive patients with self-detected lumps, DM and DBT data were reviewed by two radiologists who were blinded to histopathology. Of these, 63 patients with histologically proven breast cancer were recruited and their DM and DBT findings compared and correlated with HER2neu status (scores 0–3+). Statistical Analysis: Pearson's Chi-squared test and Fisher's exact test were used (SPSS version 22.0, IBM). Results: Morphology of lesions at both DM and DBT varied with HER2/neu status ( P = 0.04 and 0.015, respectively). HER2-0 tumors mostly presented as masses without microcalcifications (88.8%), while most of HER2-3+ tumors as masses or asymmetries with microcalcifications (61.9%). The presence or absence of calcifications varied significantly with HER2/neu status. Breast imaging-reporting and data system (BI-RADS) scoring varied significantly ( P < 0.001) with higher HER2 signal, more frequently associated with BI-RADS 5 score. Conclusion: DM and DBT features vary with the intensity of HER2 immunostaining. Higher BI-RADS scores, microcalcifications, and spiculated margins are frequently associated with HER2/neu 3+ lesions.

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“…In the attempt to find useful clues to guide treatment decisions, many studies have analyzed different radiologic findings as possible markers for biologic or clinical traits of tumors; however, few studies have compared these findings among tumor phenotypes. In a recent series of invasive carcinomas, Sun et al [5] found an association between mammographic findings at the time of diagnosis and the molecular phenotype or other clinical characteristics. They reported that malignant calcifications were more common in HER2+ and Luminal B tumors, whereas architectural distortion was more common in TN tumors; our findings in TN tumors differ.…”

Section: Resultsmentioning

confidence: 99%

“…Tumor phenotypes can be identified after immunohistochemical analysis; however, in some cases the mammographic findings could be markers of phenotype and even of the likelihood of regional or distant spread. Recent studies analyzing the mammographic findings in the phenotypes that have the worst prognosis (e.g., triple-negative) appear to show that certain findings are common in these tumors; however, contrary to what would be expected, the findings that are most suspicious for malignancy, such as architectural distortion or spiculated lesions, are uncommon in this group [4][5][6][7][8][9][10]. Most of these studies considered small series at a single center and analyzed mammographic findings together with those of other imaging techniques used in the clinical context.…”

Section: Introductionmentioning

confidence: 90%

Mammographic and clinical characteristics of different phenotypes of screen-detected and interval breast cancers in a nationwide screening program

Baré

Torà

Salas

et al. 2015

Breast Cancer Res Treat

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In the context of a population-based screening program, we aimed to evaluate the major mammographic features and clinicopathological characteristics of breast tumors at diagnosis and the associations between them, focusing on tumors with the worst prognosis. We analyzed cancers diagnosed in a cohort of 645,764 women aged 45-69 years participating in seven population-based screening programs in Spain, between January 1, 2000 and December 31, 2006 and followed up until June 2009. We included all interval cancers and a sample of screen-detected cancers, whether invasive or in situ. We compared tumor-related information and breast density for different phenotypes (Triple-negative (TN), HER2+, Luminal B and Luminal A) in screen-detected and interval cancers. We used Chi-square or Fisher's exact test to compare major mammographic features of invasive versus in situ tumors, of screen-detected versus interval cancers, and of different types of interval cancers. We included 2582 tumors (1570 screen-detected and 1012 interval cancers). There were significant differences in the distribution of most clinicopathological variables between screen-detected and interval cancers. Invasive TN interval tumors were more common than other phenotypes in breasts with low mammographic density; three-quarters of these tumors presented as masses without associated calcifications. HER2+ tumors were more common in denser breasts and were associated with calcifications and multifocality. Architectural distortion was more common in Luminal A and Luminal B tumors. Certain radiologic findings are associated with pre-invasive lesions; these differ among invasive tumor phenotypes. We corroborate that TN and HER2+ cancers have distinctive appearances also in the context of population-based screening programs. This information can be useful for establishing protocols for diagnostic strategies in screening units.

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Association between mammographic features and clinicopathological characteristics in invasive ductal carcinoma of breast cancer

Cited by 19 publications

References 23 publications

The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density

The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density

Correlation of digital mammography and digital breast tomosynthesis features of self-detected breast cancers with human epidermal growth factor receptor type 2/neu status

Mammographic and clinical characteristics of different phenotypes of screen-detected and interval breast cancers in a nationwide screening program

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