Literature DB >> 29786482

Human Epidermal Growth Factor 2-positive Breast Cancer with Mammographic Microcalcification: Relationship to Pathologic Complete Response after Neoadjuvant Chemotherapy.

Fayyaz A K Mazari1, Nisha Sharma1, David Dodwell1, Kieran Horgan1.   

Abstract

Purpose To determine the relationship between the presence or absence of mammographic calcifications in human epidermal growth factor receptor 2 (HER2)-positive breast cancers and pathologic complete response (pCR) to neoadjuvant chemotherapy and to determine other tumor and clinical characteristics that may be predictive of such a response. Materials and Methods A database of all patients with HER2-positive breast cancer who underwent neoadjuvant chemotherapy between 2007 and 2015 was retrospectively reviewed. Patient demographic characteristics, mammographic appearance, molecular subtype of cancer (luminal or nonluminal), radiologic response (based on breast magnetic resonance images), surgery, and pathologic response to treatment were recorded. Inter- and subgroup comparison was performed for presence of mammographic microcalcification and cancer subtype by using Mann-Whitney and χ2 tests and logistic regression. Results A total of 111 patients with a median age of 49 years (interquartile range, 40-57 years) were evaluated. Of these, 64.9% (72 of 111) had mammographic microcalcifications, 63.1% (70 of 111) had luminal B cancer, and 36.9% (41 of 111) had nonluminal HER2-positive cancer. Radiologic response to neoadjuvant chemotherapy was observed in 70.3% (78 of 111) of patients. Surgery was performed in 97.3% (108 of 111) of patients, and 30.6% (34 of 111) of patients underwent breast conservation. pCR was observed in 33.3% (37 of 111) of patients; 16.2% (18 of 111) showed residual ductal carcinoma in situ and 50.5% (56 of 111) had residual invasive disease. The pCR rate was the same (P = .21) in patients with mammographic microcalcification (29.2% [21 of 72]) as in those without calcification (41.0% [16 of 39]). The pCR rate in patients with nonluminal HER2-positive cancers (46.3% [19 of 41]) was higher (P = .01) than in those with luminal B cancers (25.7% [18 of 70]). pCR was associated with nonluminal HER2-positive subtype (odds ratio, 5.4; 95% confidence interval: 1.8, 16.0; P = .01) and complete radiologic response (odds ratio, 20.4; 95% confidence interval: 3.3, 126.6; P = .01). Conclusion Patients with HER2-positive cancer and mammographic microcalcification can achieve pCR after neoadjuvant chemotherapy. Nonluminal HER2-positive subtype and complete radiologic response are predictors of pCR. © RSNA, 2018 Online supplemental material is available for this article .

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Year:  2018        PMID: 29786482     DOI: 10.1148/radiol.2018170960

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  4 in total

1.  Pre-treatment MRI tumor features and post-treatment mammographic findings: may they contribute to refining the prediction of pathologic complete response in post-neoadjuvant breast cancer patients with radiologic complete response on MRI?

Authors:  Bruna M Thompson; Luciano F Chala; Carlos Shimizu; Max S Mano; José R Filassi; Felipe C Geyer; Ulysses S Torres; Giselle Guedes Netto de Mello; Cláudia da Costa Leite
Journal:  Eur Radiol       Date:  2021-10-30       Impact factor: 7.034

2.  Comprehensive quantitative malignant risk prediction of pure grouped amorphous calcifications: clinico-mammographic nomogram.

Authors:  Lijuan Shen; Tingting Jiang; Pengzhou Tang; Huijuan Ge; Chao You; Weijun Peng
Journal:  Quant Imaging Med Surg       Date:  2022-05

3.  Prediction of treatment responses to neoadjuvant chemotherapy in breast cancer using contrast-enhanced ultrasound.

Authors:  Yunxia Huang; Jian Le; Aiyu Miao; Wenxiang Zhi; Fen Wang; Yaling Chen; Shichong Zhou; Cai Chang
Journal:  Gland Surg       Date:  2021-04

4.  Identification of the lymph node metastasis-related automated breast volume scanning features for predicting axillary lymph node tumor burden of invasive breast cancer via a clinical prediction model.

Authors:  Feng Zhao; Changjing Cai; Menghan Liu; Jidong Xiao
Journal:  Front Endocrinol (Lausanne)       Date:  2022-08-05       Impact factor: 6.055

  4 in total

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