scholarly journals Breast Cancer Outcomes in a Racially and Ethnically Diverse Cohort of Insured Women

2018 ◽  
Vol 28 (4) ◽  
pp. 565-574 ◽  
Author(s):  
Reina Haque ◽  
Xiaoqing Xu ◽  
Jiaxiao Shi ◽  
Marilyn L. Kwan ◽  
Rowan T. Chlebowski
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Cancer Outcomes ◽  
Luminal A ◽  
Luminal B ◽  
Breast Cancer Outcomes ◽  
Increased Risk ◽  
Biologic Subtype ◽  
Race Ethnicity ◽  
Cancer Rates

Background: It is unknown how subse­quent breast cancer outcomes vary by bio­logic subtype and race/ethnicity in a diverse cohort of breast cancer survivors.Methods: We conducted a prospective cohort study of 6,154 insured breast cancer survivors (AJCC TNM stages 0–IV) diagnosed between 1996-2007 and followed them through 1/1/2010 for subsequent breast cancer events (recurrence, contralateral breast cancer, metastasis, mortality). We compared subsequent breast cancer rates by race/ethnicity groups and biologic subtype (luminal A, luminal B, HER2-enriched, and triple negative). We calculated hazard ratios (HRs) with 95% CIs using multivariable Cox proportional hazards models, adjusted for sociodemographics, cancer treatments, and tumor characteristics.Results: The cohort was diverse: 62.4% non-Hispanic White, 13.2% Hispanic, 14.9% African American, and 9.5% Asian. We identified 1,456 subsequent breast cancer events over 22,830 person-years. Although certain Asian women had higher crude subsequent breast cancer rates com­pared with Whites, within each biologic subtype category, these disparities disap­peared in the multivariable analyses. After accounting for race/ethnicity, compared with women with luminal A tumors (refer­ence), women with luminal B (adjusted HR=3.65, 95% CI: 3.08-4.32), HER2- enriched (adjusted HR=2.81, 95% CI: 2.25-3.51) and triple negative (adjusted HR=1.25, 95% CI: 1.01-1.54) tumors had statistically increased risks of subsequent breast cancer. Factors that were statistically significantly associated with increased risk included higher stage, larger tumor size, positive lymph nodes, and no adjuvant endocrine or chemotherapy (all P<.025).Discussion: Our data suggest that dispari­ties in subsequent breast cancer outcomes were more strongly associated with tumor characteristics and non-use of adjuvant treatments than race/ethnicity. Ethn Dis. 2018;28(4):565-574; doi:10.18865/ed.28.4.565.

scholarly journals Survival Analysis Based on Clinicopathological Data from a Single Institution: Chemotherapy Intensity Would Be Enhanced in Patients with Positive Hormone Receptors and Positive HER2 in China Who Cannot Afford the Target Therapy

ISRN Oncology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-8
Author(s):  
Jianyi Li ◽  
Shi Jia ◽  
Wenhai Zhang ◽  
Yang Zhang ◽  
Xiang Fei ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Progression ◽  
Triple Negative ◽  
Her2 Overexpression ◽  
Luminal A ◽  
Luminal B ◽  
Over Expression ◽  
Risk Of Death ◽  
Systemic Treatments ◽  
Increased Risk

Background. Immunohistochemical markers were often used to classify breast cancer into subtypes. The aim of this study was to estimate death and tumor progression for patients with the major subtypes of breast cancer as classified using immunohistochemical assay and to investigate the patterns of benefit from the therapies over the past years. Methods. The study population included primary, operable 199 invasive ductal breast cancer patients, with the median age of 51.1 years old. All patients underwent local and/or systemic treatments. The clinicopathological characteristics and clinical outcomes were retrospectively reviewed. The expression of estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and Ki67 was analyzed by immunohistochemistry. All patients were classified into the following categories: luminal A, luminal B, HER2 overexpression, and triple-negative subtypes. Result. The median follow-up time was 33 months. Luminal A tumors had the lowest rate of tumor progression (0%, P=0.006), while luminal B, HER2 over-expression, and triple-negative subtypes were associated with an increased risk of tumor progression (15.4, 19.2, 15.4%). Clinicopathological subtypes retained independent prognostic significance (P=0.008). There were significant differences by Cox model analyzed in age, menopause, lymph node metastasis, and HER2 for the event of death and tumor progression (P<0.05), and there were significant differences only in chemotherapy for the event, respectively (P<0.05). Conclusion. Clinicopathological subtypes of breast cancer could robustly identify the risk of death and tumor progression and were significant in making therapeutic decision. HER2 was the important poor indicator. The chemotherapy intensity would be enhanced for patients with luminal B, especially for HER2 over-expression subgroup.

scholarly journals Inflammatory Breast Cancer: Clinical Characteristics and Influence of Molecular Subtypes on Treatment Response

2021 ◽  
Vol 107 (1_suppl) ◽  
pp. 12-12
Author(s):  
D Aissaoui ◽  
M Bohli ◽  
R Ben Amor ◽  
J Yahyaoui ◽  
A Hamdoun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Treatment Response ◽  
Inflammatory Breast Cancer ◽  
Hormone Receptor ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Her2 Positive ◽  
Luminal B ◽  
Significant Difference

Introduction: Inflammatory Breast Cancer (IBC) is a rare and very aggressive breast cancer with poor prognosis. The prevalence is different from a country to another. In Tunisia, it is about 5 to 7% of breast cancer. The aim of this study is to describe the epidemiological and histopathological features of patients with inflammatory breast cancer and to evaluate the treatment response according to the molecular subtypes. Methods: This retrospective review identified 31 patients with no metastatic IBC treated in our radiotherapy department between December 2019 and November 2020. IBC was confirmed using the clinical criteria. Baseline clinic-pathological and treatment information was retrieved from medical records. Statistical analysis was performed with IBM SPSS V.20. Results: Median age was 51.3 years [27-68]. 48% of tumors were grade 3. The average tumor size was 36mm [10-90]. The histological type was ductal carcinoma in 97%. Vascular invasion was noted in 24 patients (77%). Thirty patients were classified as stage IIIB and one patient was IIIC. 74% were hormone receptor positive and 45% were HER2 positive. Luminal B was the predominant subtype (52%) followed by Her2 positive (32%), Luminal A (23%), and triple negative (3%) All patients had chemotherapy: neoadjuvant for 26 patients (84%) and adjuvant for 5 patients (16%). Nine patients (29%) had tumor pathological complete response (pCR). Partial response was observed in 18 patients (58%). Lymph node pCR was noted in 16% of cases (n=5). Endocrine therapy and trastuzumab were given to 76% and 45% of patients, respectively. The influence of the molecular subtype was not statistically significant on the response to neoadjuvant treatment. The highest rate of pCR were 43% for Her2positive, then 27%, 21% and 9% for Luminal B, Luminal A and Triple negative, respectively (p=0.2). Conclusion: Our study showed a high percentage of hormone receptor and Her2+ (74% and 45% respectively) in IBC. Luminal B was the most frequent subtype. Anthracycline-based chemotherapy and trastuzumab improved the pCR rate: 44% for Her2positive. Triple negative showed poorer pCR than other breast cancer subtype without a significant difference. A larger study is warranted to confirm our findings.

scholarly journals Diffusion-Weighted Imaging of Different Breast Cancer Molecular Subtypes: A Systematic Review and Meta-Analysis

Breast Care ◽  
2021 ◽  
pp. 1-8
Author(s):  
Hans-Jonas Meyer ◽  
Andreas Wienke ◽  
Alexey Surov
Keyword(s):  
Breast Cancer ◽  
Systematic Review ◽  
Diffusion Weighted Imaging ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Luminal A ◽  
Diagnose Breast Cancer ◽  
Luminal B ◽  
Diffusion Weighted ◽  
Adc Values

Background: Magnetic resonance imaging can be used to diagnose breast cancer (BC).Diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) can be used to reflect tumor microstructure. Objectives: This analysis aimed to compare ADC values between molecular subtypes of BC based on a large sample of patients. Method: The MEDLINE library and Scopus database were screened for the associations between ADC and molecular subtypes of BC up to April 2020. The primary end point of the systematic review was the ADC value in different BC subtypes. Overall, 28 studies were included. Results: The included studies comprised a total of 2,990 tumors. Luminal A type was diagnosed in 865 cases (28.9%), luminal B in 899 (30.1%), human epidermal growth factor receptor (Her2)-enriched in 597 (20.0%), and triple-negative in 629 (21.0%). The mean ADC values of the subtypes were as follows: luminal A: 0.99 × 10–3 mm2/s (95% CI 0.94–1.04), luminal B: 0.97 × 10–3 mm2/s (95% CI 0.89–1.05), Her2-enriched: 1.02 × 10–3 mm2/s (95% CI 0.95–1.08), and triple-negative: 0.99 × 10–3 mm2/s (95% CI 0.91–1.07). Conclusions: ADC values cannot be used to discriminate between molecular subtypes of BC.

Trends in breast cancer mortality according to molecular subtypes: A population-based study.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 572-572
Author(s):  
Yunan Han ◽  
Shuai Xu ◽  
Graham A. Colditz ◽  
Adetunji T. Toriola
Keyword(s):  
Breast Cancer ◽  
Cancer Mortality ◽  
Triple Negative ◽  
Molecular Subtypes ◽  
Breast Cancer Mortality ◽  
Treatment Strategies ◽  
Luminal A ◽  
Her2 Positive ◽  
Mortality Trends ◽  
Luminal B

572 Background: Breast cancer is the second leading cause of cancer death in U.S. women. On the molecular level, breast cancer is a heterogeneous disease. Heterogeneous expressions of estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) are etiologically and clinically meaningful, as they map to distinct risk factors and different treatment strategies. Although breast cancer mortality has been declining since 1990, little is known about mortality trends according to molecular subtypes at the population level. Methods: We examined the incidence-based mortality rates and trends among women who were diagnosed with invasive breast cancer from 2010 through 2017 using the Surveillance, Epidemiology, and End Results (SEER) database. We defined incidence-based mortality using a moving 5-year calendar period starting in 2014. We further assessed mortality according to breast cancer molecular subtypes: luminal A (ER and/or PR positive, HER2 negative), luminal B (ER and/or PR positive, HER2 positive), HER2-enriched (HER2 over-expressed or amplified, ER and PR negative) and triple-negative (ER and PR negative, HER2 negative) tumors. We calculated annual percent changes (APC) in incidence-based mortality using joinpoint regression models. Results: Overall, incidence-based mortality for breast cancer significantly decreased by 1.5% annually from 2014 through 2017 (APC, -1.5%; 95% coefficient interval [CI], -2.3% to -0.7%; p<0.001). Incidence-based mortality decreased annually by 2.0% for luminal A breast cancer (APC, -2.0%; 95% CI, -3.7% to -0.3%; p<0.001), 2.1% for luminal B breast cancer (APC, -2.1%; 95% CI, -5.4% to 1.4%; p=0.1), 1.1% for triple-negative breast cancer (TNBC) (APC, -1.1%; 95% CI, -2.1% to -0.0%; p<0.001). However, incidence-based mortality for HER2-enriched breast cancer increased 2.3% annually during the study period (APC, 2.3%; 95% CI, -2.4% to 7.2%; p=0.2). Conclusions: Between 2014 and 2017, incidence-based mortality for luminal A, luminal B, and TNBC decreased among U.S. women, with a larger decrease observed for luminal tumors. However, incidence-based mortality for HER2-enriched breast cancer increased. The favorable incidence-based mortality trends for luminal tumors and TNBC are likely due to the continuing improvement in treatments and early detection. The increasing trend of incidence-based mortality for HER2-enriched breast cancer constitutes a priority for cancer control activities and further research.

scholarly journals Low KIBRA Expression Is Associated with Poor Prognosis in Patients with Triple-Negative Breast Cancer

Medicina ◽  
2021 ◽  
Vol 57 (8) ◽  
pp. 837
Author(s):  
So-Woon Kim ◽  
Jinah Chu ◽  
Sung-Im Do ◽  
Kiyong Na
Keyword(s):  
Breast Cancer ◽  
Triple Negative Breast Cancer ◽  
Poor Prognosis ◽  
Triple Negative ◽  
Histological Grade ◽  
Growth Factor Receptor ◽  
Hippo Signaling ◽  
Luminal A ◽  
Luminal B ◽  
Epidermal Growth

Background and Objectives: Kidney and brain protein (KIBRA) is a protein encoded by the WW and C2 domain containing 1 (WWC1) gene and is involved in the Hippo signaling pathway. Recent studies have revealed the prognostic value of KIBRA expression; however, its role in breast cancer remains unclear. The aim of this study was to examine KIBRA expression in relation to the clinical and pathological characteristics of patients with breast cancer and to disease outcomes. Materials and Methods: We analyzed the expression of KIBRA and its correlation with event-free survival (EFS) outcomes in resected samples from 486 patients with breast cancer. Results: KIBRA expression was significantly different among the molecular subgroups (low KIBRA expression: luminal A, 46.7% versus 50.0%, p = 0.641; luminal B, 32.7% versus 71.7%, p < 0.001; human epidermal growth factor receptor 2 (HER2)-enriched, 64.9% versus 45.5%. p = 0.001; triple-negative, 73.6% versus 43.8%, p < 0.001). Low KIBRA expression was also associated with high nuclear grade (60.4% versus 37.8%, p < 0.001), high histologic grade (58.7% versus 37.0%, p < 0.001), and estrogen receptor (ER) negativity (54.2% versus 23.6%, p < 0.001). Low KIBRA expression was significantly associated with poor EFS (p = 0.041; hazard ratio (HR) 1.658; 95% confidence interval (CI), 1.015–2.709). Low KIBRA expression was an independent indicator of poor prognosis (p = 0.001; HR = 3.952; 95% CI = 1.542–10.133) in triple-negative breast cancer (TNBC). Conclusion: Low KIBRA expression was associated with higher histological grade, ER negativity and poor EFS of breast cancer. In particular, our data highlight KIBRA expression status as a potential prognostic marker for TNBC.

scholarly journals Analysis of prolactin receptor expression in breast cancer subtypes

2020 ◽  
Vol 66 (1) ◽  
pp. 89-94
Author(s):  
T.S. Kalinina ◽  
V.V. Kononchuk ◽  
S.V. Sidorov ◽  
L.F. Gulyaeva
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Prolactin Receptor ◽  
Mrna Level ◽  
Receptor Expression ◽  
Mrna Levels ◽  
Luminal A ◽  
Her2 Positive ◽  
Tissue Samples ◽  
Luminal B

Breast cancer (BC) is the most common cancer among women. It is known that the prolactin receptor (PRLR) may play a role in breast carcinogenesis, but the available data are often contradictory. To get a more complete picture of the relationship between the receptor and mammary gland carcinogenesis, we examined the association between changes in PRLR expression level and tumor subtype (and its main characteristics). To do this, using real-time PCR, we evaluated the level of PRLR mRNA in BC tissue samples and untransformed adjoining tissue samples (89 pairs). Since the androgen receptor (AR) has begun to be seen as a prognostic marker in breast cancer, we also evaluated the association between mRNA levels of AR and PRLR. We found a significant increase in PRLR expression in luminal subtypes; the highest level of PRLR mRNA was detected in luminal A subtype. In HER2-positive ER-, PR-negative BC, the PRLR mRNA level decreases in tumor tissues compared with untransformed tissues. High PRLR expression is also associated with smaller tumor size in luminal B HER2-negative subtype. In ER-, PR-negative tumors, PRLR expression is associated with AR expression: PRLR mRNA level is increased when AR mRNA level is reduced by more than 8 times in triple-negative tumors; in contrast, in HER2-positive subtype it decreases more significantly when AR expression is reduced by more than 3 times. A tendency towards an increase in PRLR expression with an increase in the AR mRNA level was also discovered in luminal subtypes. The level of PRLR expression depends on the age of patients. In luminal A, PRLR expression is higher in patients under 65 years. In contrast, in luminal B HER2-negative and triple-negative BC, reduced PRLR expression was observed in patients under the age of 40 years and under the age of 50 years, respectively. In this group of patients under the age of 40 years with luminal B HER2-negative BC, ER expression was also reduced (0-4 score according to the IHC assay). Thus, PRLR probably plays a different role in the development and progression of BC: in luminal A and luminal B HER2-positive subtypes PRLR may act as an oncogen, and in luminal B HER2-negative and ER-, PR-negative subtypes can play a tumor suppressor role.

Association of statin use with clinical outcomes in patients with triple-negative breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 523-523
Author(s):  
Malgorzata Nowakowska ◽  
Xiudong Lei ◽  
Mikayla R Thompson ◽  
Simona Flora Shaitelman ◽  
Mackenzie Wehner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Statin Therapy ◽  
Triple Negative Breast Cancer ◽  
Triple Negative ◽  
Treatment Options ◽  
Hazard Ratio ◽  
Stage I ◽  
Cancer Outcomes ◽  
Breast Cancer Outcomes ◽  
Statin Use

523 Background: Statins have been shown to target pathways related to breast cancer carcinogenesis, specifically in more aggressive breast cancer subtypes such as triple negative breast cancer (TNBC). Given the limited toxicity profile, low cost, and ease of use of statins, an association between statin therapy and improved breast cancer outcomes, particularly in aggressive breast cancers with more limited treatment options, could have important public health implications. Here we examine the association of statin therapy with breast cancer outcomes in women with stage I-III breast cancer, specifically TNBC. Methods: We utilized Surveillance, Epidemiology, and End Results (SEER)-Medicare and Texas Cancer Registry (TCR)-Medicare data. We included women age 66 years or older with histologically confirmed stage I-III breast cancer diagnosed from 2008-2015. We used multivariable Cox proportional hazards regression models to examine the association of statin use with overall survival (OS) and breast cancer specific survival (BCSS) adjusting for age, race, education, state buy-in, residence area, stage, subtype, endocrine therapy, radiation, chemotherapy, surgery, baseline statin use, comorbidity, and baseline hypertension. For BCSS, we accounted for the competing risk of death using the Fine and Grey method. We required all individuals to survive until 12 months post-diagnosis, which we defined as the start of the follow-up period, to account for immortal time bias. Results: We identified 45,063 patients with stage I-III breast cancer meeting inclusion criteria, out of which 22,518 (50.0%) received a statin within one year following diagnosis (statin-users). The 5-year cumulative estimates of breast cancer specific deaths were 5.9% and 6.9% for statin-users and non-users (P <.001), respectively. In the overall cohort, adjusted models showed a statistically significant association between statin use and improved BCSS (subdistribution hazard ratio [SHR], 0.82; 95% CI, 0.70 to 0.97; P =.021), but no association with OS (hazard ratio [HR], 0.96; 95% CI, 0.90 to 1.03; P =.23). The association was strongest in patients with TNBC for BCSS (SHR, 0.60; 95% CI, 0.42 to 0.86; P =.006) and OS (HR, 0.76; 95% CI, 0.61 to 0.95; P =.018). Stratification by stage showed that the effect of statin therapy in TNBC was limited to patients with localized disease. Our results were consistent using propensity score matched models and when limiting our analysis to statin therapy initiated following breast cancer diagnosis. Conclusions: Among women with non-metastatic breast cancer, we found that statin use was associated with an OS and BCSS benefit among women with TNBC. Our data suggest that statins may have a role as an adjuvant therapy in select patients with breast cancer and supports further investigation, particularly among patients with TNBC, for whom effective treatment options are more limited.

Trends in breast cancer survival by race-ethnicity in Florida.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18556-e18556
Author(s):  
Robert Brooks Hines ◽  
Asal Johnson ◽  
Eunkyung Lee ◽  
Stephanie Erickson ◽  
Saleh M.M. Rahman
Keyword(s):  
Breast Cancer ◽  
Ethnic Disparities ◽  
Cancer Death ◽  
Cancer Outcomes ◽  
Subdistribution Hazard ◽  
Breast Cancer Death ◽  
Breast Cancer Outcomes ◽  
Race Ethnicity ◽  
Racial Ethnic ◽  
Hispanic White

e18556 Background: Considerable efforts to improve disparities in breast cancer outcomes for underserved women have occurred over the past 3 decades. This study was conducted to evaluate trends in survival, by race-ethnicity, for women diagnosed with breast cancer in Florida over a 26-year period to assess potential improvement in racial-ethnic disparities. Methods: This was a retrospective cohort study of women diagnosed with invasive breast cancer in Florida between 1990-2015. Data were obtained from the Florida Cancer Data System. Women in the study were categorized according to race (white/black) and Hispanic ethnicity (yes/no) as non-Hispanic white (NHW), non-Hispanic black (NHB), Hispanic white (HW), and Hispanic black (HB). Cumulative incidence estimates of 5- and 10-year breast cancer death with 95% confidence intervals (CI) were obtained by race-ethnicity, according to diagnosis year. Subdistribution hazard models were used to obtain subdistribution hazard ratios (sHR) for the relative rate of breast cancer death accounting for competing causes. Results: Compared to NHW women, minority women were more likely to be younger, be uninsured or have Medicaid as health insurance, live in high poverty neighborhoods, have more advanced disease at diagnosis, have high grade tumors, have hormone receptor negative tumors, and receive chemotherapy as treatment. Minority women were less likely to receive surgery. Over the course of the study, breast cancer mortality decreased for all racial-ethnic groups, and racial-ethnic minorities had greater absolute and relative improvement in breast cancer survival for nearly all metrics compared to non-Hispanic white (NHW) women. However, for the most recent time period (2010-2015), black women still experienced significant survival disparities with non-Hispanic black (NHB) women having twice the rate of 5-year (sHR = 2.04: 95% CI; 1.91-2.19) and 10-year (sHR = 2.02: 95% CI; 1.89-2.16) breast cancer death. Conclusions: Despite efforts to improve disparities in breast cancer outcomes for underserved women in Florida, additional targeted approaches are needed to reduce the poorer survival in black (especially NHB) women. Our next step is to conduct a mediation analysis of the most important factors driving racial/ethnic disparities in breast cancer outcomes for women in Florida.

scholarly journals Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis

BMC Cancer ◽  
2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Alexey Surov ◽  
Yun-Woo Chang ◽  
Lihua Li ◽  
Laura Martincich ◽  
Savannah C. Partridge ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Diffusion Coefficient ◽  
Triple Negative ◽  
Molecular Subtype ◽  
Luminal A ◽  
Ki 67 ◽  
Luminal B ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Her 2

Abstract Background Radiological imaging plays a central role in the diagnosis of breast cancer (BC). Some studies suggest MRI techniques like diffusion weighted imaging (DWI) may provide further prognostic value by discriminating between tumors with different biologic characteristics including receptor status and molecular subtype. However, there is much contradictory reported data regarding such associations in the literature. The purpose of the present study was to provide evident data regarding relationships between quantitative apparent diffusion coefficient (ADC) values on DWI and pathologic prognostic factors in BC. Methods Data from 5 centers (661 female patients, mean age, 51.4 ± 10.5 years) were acquired. Invasive ductal carcinoma (IDC) was diagnosed in 625 patients (94.6%) and invasive lobular carcinoma in 36 cases (5.4%). Luminal A carcinomas were diagnosed in 177 patients (28.0%), luminal B carcinomas in 279 patients (44.1%), HER 2+ carcinomas in 66 cases (10.4%), and triple negative carcinomas in 111 patients (17.5%). The identified lesions were staged as T1 in 51.3%, T2 in 43.0%, T3 in 4.2%, and as T4 in 1.5% of the cases. N0 was found in 61.3%, N1 in 33.1%, N2 in 2.9%, and N3 in 2.7%. ADC values between different groups were compared using the Mann–Whitney U test and by the Kruskal-Wallis H test. The association between ADC and Ki 67 values was calculated by Spearman’s rank correlation coefficient. Results ADC values of different tumor subtypes overlapped significantly. Luminal B carcinomas had statistically significant lower ADC values compared with luminal A (p = 0.003) and HER 2+ (p = 0.007) lesions. No significant differences of ADC values were observed between luminal A, HER 2+ and triple negative tumors. There were no statistically significant differences of ADC values between different T or N stages of the tumors. Weak statistically significant correlation between ADC and Ki 67 was observed in luminal B carcinoma (r = − 0.130, p = 0.03). In luminal A, HER 2+ and triple negative tumors there were no significant correlations between ADC and Ki 67. Conclusion ADC was not able to discriminate molecular subtypes of BC, and cannot be used as a surrogate marker for disease stage or proliferation activity.

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