Racial disparities among women who develop invasive secondary breast cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18523-e18523
Author(s):  
Kekoa Taparra ◽  
Jami Aya Fukui ◽  
Jeffrey Killeen ◽  
Kenneth N. M. Sumida ◽  
Lenora Loo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Racial Disparities ◽  
White Women ◽  
Native Hawaiian ◽  
Lobular Carcinoma ◽  
Breast Cancer Diagnosis ◽  
Breast Cancers ◽  
Younger Women ◽  
Treatment Information ◽  
Treatment Type

e18523 Background: Noninvasive breast cancers ( e.g. ductal and lobular carcinoma in situ) are highly treatable nonobligate precursors to invasive breast cancers. However, even after treatment, some women develop second breast cancers (SBCs), increasing their mortality risk. Prognosticators may inform treatment recommendations for women at higher risk of SBC. In this study, risk factors for SBC were evaluated using deidentified data from the Hawaiʻi Tumor Registry (HTR), an NCI SEER registry. The HTR covers a uniquely multiethnic, statewide population allowing for elucidation of disparities in understudied U.S. populations. Methods: Women initially diagnosed between 1973-2017 with noninvasive (ductal and lobular) breast cancer were identified. Patient demographics, cancer characteristics, and treatment information were collected. Univariate (UVA) and multivariate (MVA) logistic regression analyses were used to identify factors associated with SBC, defined as a breast cancer diagnosis > 6 months after their prior cancer. Results: Of 7,057 women diagnosed with a first noninvasive breast cancer, 696 (10%) developed SBC. Invasive ipsilateral (iiSBC) and invasive contralateral (icSBC) disease represented 9% and 20% of patients who developed SBC, respectively. The five most prevalent ethnic groups were Chinese, Filipino, Japanese, Native Hawaiian, and White. When adjusting for confounders, women who developed iiSBC were more likely to be Native Hawaiian (odds ratio [OR] = 3.20, 95% CI = 2.07-4.94) or Filipino (OR = 1.72, 95%CI = 1.02-2.91) when compared to Whites; diagnosed between 1990-1999 (OR = 2.06, 95%CI = 1.27-3.34); and not have undergone surgical treatment (OR = 2.93, 95%CI = 1.42-6.04). Women who developed iiSBC were less likely to be > 50 years old (OR = 0.67, 95%CI = 0.49-0.90); diagnosed between 2010-2017 (OR = 0.18, 95%CI = 0.09-0.35); received lumpectomy with radiation therapy (OR = 0.54, 95%CI = 0.35-0.72); and undergone mastectomy (OR = 0.48, 95%CI = 0.32-0.72). Women who developed an icSBC were more likely to be Native Hawaiian (OR = 1.58, 95%CI = 1.06-2.35) or Filipino (OR = 1.60, 95%CI = 1.06-2.42). These women were also less likely to have been diagnosed between 2010-2017 (OR = 0.30, 95%CI = 0.17-0.53). On a subset analysis separating all patients with SBC by first course treatment type, there were no statistically significant differences for treatment type based on race/ethnicity. Conclusions: Overall, in this observational study, Native Hawaiian women, Filipino women, and younger women had increased odds of developing invasive SBC. This study highlights racial disparities in SBC development risk that was not previously appreciated among disaggregated groups of Pacific Islanders and Asian women when compared to White women. This may help oncologists understand the risk of developing SBC in these understudied populations.

Trends in synchronous invasive ductal carcinomas of the breast: A SEER database analysis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13081-e13081
Author(s):  
Rutika Jitesh Mehta ◽  
Adrienne Groman ◽  
Rohit K. Jain ◽  
Ellis Glenn Levine
Keyword(s):  
Breast Cancer ◽  
Older Women ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Incidence Rates ◽  
Age Group ◽  
Breast Cancers ◽  
Seer Database ◽  
Younger Women ◽  
Synchronous Breast Cancer

e13081 Background: Synchronous breast cancers are uncommon and account for around 2% of all breast cancer diagnosis. Lobular histology is considered a risk factor for synchronous breast cancers. We sought to study the trends in synchronous breast cancer of ductal histology and influence of age by interrogating the SEER database. Methods: The SEER Research data 1973-2013 was interrogated for synchronous infiltrating ductal carcinoma diagnosis (2 diagnosis within 6 months of each other). Overall survival (OS), the primary endpoint, was defined as the time (in months) from diagnosis to death from any cause. Univariate proportional hazards modeling results were used to assess the effect of age, race and stage on overall survival. All associations were considered statistically significant at an alpha error < 0.01. All analyses were performed using SAS version 9.4. Results: 1469 cases were identified. Data was categorized by age group: ≤ 65 years or > 65 years. 60% were 65 years or younger. 85% were Caucasians, 9.6% African Americans and 5.2% others. Younger women (≤ 65 years) had a statistically higher proportion of Stage III/IV breast cancer diagnosis as compared to older women (33.4% vs 25.2%; p = 0.002). The incidence rate of synchronous breast cancers has been rising since 1973, more pronounced in the older age group. Incidence rates overall have risen from 0.09/100,000 persons in 1973-1980 to 0.29/100,000 persons in 2001-2013 (p < 0.001). Incidence rates for synchronous breast cancer in women > 65 years has increased from 0.30/100,000 persons in 1973-1980 to 1.03/100,000 persons in 2001-2013. The adjusted OS among older women is significantly worse than that of younger women (HR 1.05; 95% CI 1.04-1.05; p < 0.001). Conclusions: Better imaging techniques and breast cancer screening guidelines have likely improved breast cancer detection rates thus leading to a rise in the incidence of synchronous breast cancers. It can be speculated that underlying medical problems and advanced age result in more morbidity and subsequent mortality in older women with standard treatment. The finding of more advanced disease among younger women deserves scrutiny as to cause.

Mobile-Aided Breast Cancer Diagnosis by Deep Convolutional Neural Networks

2020 ◽  
pp. 145-162
Keyword(s):  
Breast Cancer ◽  
Image Recognition ◽  
Cancer Diagnosis ◽  
Medical Images ◽  
Human Cancer ◽  
Lobular Carcinoma ◽  
Breast Cancer Diagnosis ◽  
Breast Cancers ◽  
Deep Convolutional Neural Networks ◽  
Important Health

After verifying the capability of deep learning for basic image recognition, this chapter further extends image recognition to App-aided breast cancer diagnosis. Human cancer has been considered as the most important health problem. For medical image recognition of breast cancer, the presented approach is no longer the same as the traditional. It needs no axioms for distinguishing malignant and benign tumors, and no hand-crafted textural descriptors for feature extraction. The goal is to develop a mobile-aided diagnosis system of directly processing raw medical images. It automatically extracts features and learn filters of a deep CNN subject to labelled medical images in advance. This chapter presents a CNN architecture for diagnosing breast cancer images, illustrating effectiveness of problem solving by designing classifiers, respectively diagnosing lobular carcinoma breast cancer against phyllodes tumor and papillary carcinoma against adenosis. The performances of two classifiers for breast cancers diagnosis are separately summarized by the testing accuracy rates of 94.9% and 87.3%.

scholarly journals Estrogens and Progestogens in Triple Negative Breast Cancer: Do They Harm?

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2506
Author(s):  
Mark van Barele ◽  
Bernadette A. M. Heemskerk-Gerritsen ◽  
Yvonne V. Louwers ◽  
Mijntje B. Vastbinder ◽  
John W. M. Martens ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Triple Negative ◽  
Hormone Replacement ◽  
Breast Cancers ◽  
Younger Women ◽  
Alternative Pathways ◽  
Increased Risk ◽  
History Of ◽  
Hormone Sensitive

Triple-negative breast cancers (TNBC) occur more frequently in younger women and do not express estrogen receptor (ER) nor progesterone receptor (PR), and are therefore often considered hormone-insensitive. Treatment of premenopausal TNBC patients almost always includes chemotherapy, which may lead to premature ovarian insufficiency (POI) and can severely impact quality of life. Hormone replacement therapy (HRT) is contraindicated for patients with a history of hormone-sensitive breast cancer, but the data on safety for TNBC patients is inconclusive, with a few randomized trials showing increased risk-ratios with wide confidence intervals for recurrence after HRT. Here, we review the literature on alternative pathways from the classical ER/PR. We find that for both estrogens and progestogens, potential alternatives exist for exerting their effects on TNBC, ranging from receptor conversion, to alternative receptors capable of binding estrogens, as well as paracrine pathways, such as RANK/RANKL, which can cause progestogens to indirectly stimulate growth and metastasis of TNBC. Finally, HRT may also influence other hormones, such as androgens, and their effects on TNBCs expressing androgen receptors (AR). Concluding, the assumption that TNBC is completely hormone-insensitive is incorrect. However, the direction of the effects of the alternative pathways is not always clear, and will need to be investigated further.

Distant metastases after diagnosis: Racial disparities in breast cancer outcomes.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1084-1084
Author(s):  
Julia Blanter ◽  
Ilana Ramer ◽  
Justina Ray ◽  
Emily J. Gallagher ◽  
Nina A. Bickell ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Multivariate Analysis ◽  
Black Women ◽  
Racial Disparities ◽  
Late Stage ◽  
White Women ◽  
Univariate Analysis ◽  
Distant Metastases ◽  
Stage At Diagnosis

1084 Background: Black women diagnosed with breast cancer are more likely to have a poor prognosis, regardless of breast cancer subtype. Despite having a lower incidence rate of breast cancer when compared to white women, black women have the highest breast cancer death rate of all racial and ethnic groups, a characteristic often attributed to late stage at diagnosis. Distant metastases are considered the leading cause of death from breast cancer. We performed a follow up study of women with breast cancer in the Mount Sinai Health System (MSHS) to determine differences in distant metastases rates among black versus white women. Methods: Women were initially recruited as part of an NIH funded cross-sectional study from 2013-2020 to examine the link between insulin resistance (IR) and breast cancer prognosis. Women self-identified as black or white race. Data was collected via retrospective analysis of electronic medical records (EMR) between September 2020-January 2021. Distant metastases at diagnosis was defined as evidence of metastases in a secondary organ (not lymph node). Stage at diagnosis was recorded for all patients. Distant metastases after diagnosis was defined as evidence of metastases at any time after initiation of treatment. Univariate analysis was performed using Fisher’s exact test, multivariate analysis was performed by binary logistic regression, and results expressed as odds ratio (OR) and 95% confidence interval (CI). A p value <0.05 was considered statistically significant. Results: We identified 441 women enrolled in the IR study within the MSHS (340 white women, 101 black women). Median follow up time for all women was 2.95 years (median = 3.12 years for white and 2.51 years for black women (p=0.017)). Among these patients, 11 developed distant metastases after diagnosis: 4 (1.2%) white and 7 (6.9%) black (p=0.004). Multivariate analysis adjusting for age, race and stage at diagnosis revealed that black women were more likely to have distant metastasis (OR 5.8, CI 1.3-25.2), as were younger women (OR for age (years) 0.9, CI 0.9-1.0), and those with more advanced stage at diagnosis. Conclusions: Black women demonstrated a far higher percentage of distant metastases after diagnosis even when accounting for age and stage. These findings suggest that racial disparities still exist in the development of distant metastases, independent from a late-stage diagnosis. The source of existing disparities needs to be further understood and may be found in surveillance, treatment differences, or follow up.

Breast cancer ER, PR, and HER2 expression variance by germline cancer predisposition genes.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10526-10526
Author(s):  
Grace Wei ◽  
Marilin Rosa ◽  
Maxine Chang ◽  
Brian J. Czerniecki ◽  
Xia Wang
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Breast Cancer Diagnosis ◽  
Cancer Predisposition ◽  
Tumor Evolution ◽  
Breast Cancers ◽  
Her2 Expression ◽  
Expression Levels ◽  
Genetic Test Results ◽  
Predisposition Genes

10526 Background: The association between breast cancer characteristics and survival with estrogen receptor (ER) and progesterone receptor (PR) expression has been primarily studied via binomial categories, ER-positive and ER-negative. In order to better characterize germline genetic influences on these markers, we investigated their IHC expression semi-quantitatively in cancer predisposition germline pathogenic variant (PV) carriers of the following genes: BRCA1, BRCA2, PALB2, TP53, PTEN, CDH1, ATM, CHEK2, and Lynch syndrome genes. The HER2 expression was also analyzed. Methods: We conducted a retrospective chart review of patients with germline panel genetic testing for cancer predisposition genes at Moffitt Cancer Center’s GeneHome clinic. Inclusion criteria included 1) women ≥18 years old, 2) breast cancer diagnosis, 3) cancer predisposition germline panel genetic test results, 4) available ER and PR expression levels, and 5) available HER expression and/or amplification status. ER, PR, and HER2 status were compared between PV carriers and non-PV carriers via Mann-Whitney U at p>0.05. Results: A total of 847 cases were reviewed for the study. Among 658 patients with a breast cancer diagnosis and complete ER PR data, 365 cases (55.5%) were non-PV carriers and 293 cases (44.5%) carried a PV in at least one of the genes listed above. Among 635 cases with available HER2 expression/amplification status, 355 (55.9%) cases were non-PV carriers and 288 (45.4%) cases were PV-carriers. When compared with non-PV carrier controls, BRCA1 PV carriers’ breast tumors had significantly lower ER and/or PR expression. Further, BRCA2 and TP53 PV tumors also displayed moderately lower ER expression. Contrarily, CHEK2 tumors displayed higher ER and PR expression compared to controls. Further, BRCA1 and BRCA2 PV carriers were more likely to have HER2- breast cancers. Conclusions: Differences in ER, PR, HER2 expression levels were observed in germline PV carrier breast cancers, signaling differential impacts by germline PVs on the tumor evolution process. It is likely that tumor differences in PV carriers influence responses to therapies, including hormone therapy, anti-HER2 therapy, and subsequent survival.[Table: see text]

scholarly journals 900 Effects Of COVID-19 Pandemic Restrictions on the 2ww Breast Referrals in A UK Specialist Breast Service

2021 ◽  
Vol 108 (Supplement_6) ◽  
Author(s):  
O Tokode ◽  
S Rastall
Keyword(s):  
Breast Cancer ◽  
Waiting Times ◽  
Age Groups ◽  
Breast Cancer Diagnosis ◽  
Hospital Staff ◽  
Breast Cancers ◽  
Telephone Triage ◽  
Telephone Consultation ◽  
Mean Waiting Time ◽  
Delays In Diagnosis

Abstract Aim Recommendations were issued to the hospital Trusts to configure service delivery to balance cancer care with patient and hospital staff safety during the COVID-19 pandemic. It was felt the service restrictions might lead to delays in diagnosis and treatment of cancer patients. We conducted an audit to compare 2ww breast referrals in our center between May to July of 2019 and 2020. Method We triaged all referrals to face-face consultation or telephone consultation in our center during the pandemic. Patients with suspicious symptoms were offered face-face consultation after the telephone triage. Results Data analysis showed that the referrals fell by 28.3% (N 1569 versus N 1125). The largest reduction was noted in May (34.4% versus 24.2%). Mean waiting time in 2019 was 19.86 (± 7.14) and 11.43 (± 3.48) in 2020. The proportion of patients referred for suspected breast cancers increased across all age groups in 2020 (range +10.4% to 16.2%). Significantly more breast cancers were diagnosed in 2020 (7.1% versus 5.1%). No breast cancer was diagnosed in under 25 patients. 29.1% of the 522 patients telephoned were discharged, and others were seen in the clinic. Conclusions The COVID-19 infection’s management caused a fall in 2ww referrals and shortened waiting times but increased breast cancer diagnosis. Many 2ww referrals during the COVID-19 infection were unnecessary. The telephone consultation reduced waiting times but may have deferred clinic visitation for most patients.

OncotypeDx scores according to race/ethnicity and age in a diverse cohort of breast cancer patients.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12512-e12512
Author(s):  
Eileen Chen ◽  
Corinne Jones ◽  
Ian Pagano ◽  
Jami Aya Fukui
Keyword(s):  
Breast Cancer ◽  
White Women ◽  
Native Hawaiian ◽  
Breast Cancer Incidence ◽  
Pacific Islander ◽  
Oncotype Dx ◽  
Age At Diagnosis ◽  
Similar Distribution ◽  
Incidence And Mortality ◽  
Race Ethnicity

e12512 Background: Breast cancer incidence and mortality rate differ across racial/ethnic populations in the US, but little is known about the relationship between Oncotype DX scores and race/ethnicity. Oncotype DX scores are used in early stage, hormone positive breast cancers to estimate the likelihood of breast cancer recurrence and benefit from receiving chemotherapy. Most available literature assesses disparities between race and receipt of an Oncotype DX score, with only some assessing distribution of scores by race. Populations previously studied mainly focus on Black compared to White women, with very few including Asian and Native Hawaiian/Pacific Islander subpopulations. When included, they are often grouped together as Asian/Pacific Islander. Current studies suggest there is a similar distribution of scores among Black and White women, but some studies report that Black women may be more likely to have high-risk scores. Methods: We examined 476 unique breast cancer cases in the Hawaii Pacific Health system diagnosed in 2018-2020. We used univariable and multivariable analyses on all of those cases that received an Oncotype DX score to determine correlation to age and race. Results: In 328 breast cancer cases that received an Oncotype DX score, age of diagnosis ranged from 29 to 84 with race/ethnicity including Japanese (n = 90, 27%), White (n = 78, 24%), Filipino (n = 54, 17%), Native Hawaiian (n = 52, 16%), Chinese (n = 24, 7%), and other (n = 30, 9%) populations. Cases with age at diagnosis between 60-69 (n = 118, 36%) were found to have a mean Oncotype DX score of 13.91 (CI 12.19-15.62, p = 0.04) which was statistically lower than other ages groups on both univariable and multivariable analysis. We found no other significant relationships between Oncotype DX score and race or age at diagnosis on our analyses. Conclusions: These findings contribute more information about Oncotype DX scores within Asian and Native Hawaiian populations to the available literature.

scholarly journals An automated computational biomechanics workflow for improving breast cancer diagnosis and treatment

2019 ◽  
Vol 9 (4) ◽  
pp. 20190034 ◽  
Author(s):  
Thiranja Prasad Babarenda Gamage ◽  
Duane T. K. Malcolm ◽  
Gonzalo Maso Talou ◽  
Anna Mîra ◽  
Anthony Doyle ◽  
...  
Keyword(s):  
Breast Cancer ◽  
State Of The Art ◽  
Three Dimensional ◽  
Breast Cancer Diagnosis ◽  
Automated System ◽  
Machine Learning Techniques ◽  
Breast Cancers ◽  
Computational Biomechanics ◽  
Biomechanical Models ◽  
Treatment Procedures

Clinicians face many challenges when diagnosing and treating breast cancer. These challenges include interpreting and co-locating information between different medical imaging modalities that are used to identify tumours and predicting where these tumours move to during different treatment procedures. We have developed a novel automated breast image analysis workflow that integrates state-of-the-art image processing and machine learning techniques, personalized three-dimensional biomechanical modelling and population-based statistical analysis to assist clinicians during breast cancer detection and treatment procedures. This paper summarizes our recent research to address the various technical and implementation challenges associated with creating a fully automated system. The workflow is applied to predict the repositioning of tumours from the prone position, where diagnostic magnetic resonance imaging is performed, to the supine position where treatment procedures are performed. We discuss our recent advances towards addressing challenges in identifying the mechanical properties of the breast and evaluating the accuracy of the biomechanical models. We also describe our progress in implementing a prototype of this workflow in clinical practice. Clinical adoption of these state-of-the-art modelling techniques has significant potential for reducing the number of misdiagnosed breast cancers, while also helping to improve the treatment of patients.

Stage at breast cancer diagnosis is more advanced in BRCA1 carriers but not in BRCA2 carriers

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 10540-10540
Author(s):  
B. Kaufman ◽  
A. Lahad ◽  
M. Krieger ◽  
M. Gal ◽  
E. Friedman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptors ◽  
Medullary Carcinoma ◽  
Breast Cancer Diagnosis ◽  
Age At Diagnosis ◽  
Stage At Diagnosis ◽  
Breast Cancers ◽  
Pathological Features ◽  
Breast Cancer Patients ◽  
Brca1 Carriers

10540 Background: BRCA1-associated tumors are known to have less favorable pathological characteristics, but there is little information on whether this is also reflected in the stage at diagnosis. Methods: Clinical and pathological information was collected on 1,122 consecutive Ashkenazi Jewish breast cancer patients who were tested post-diagnosis for the BRCA1/2 mutations common in this population. Results: Of 1,122 patients, 70 (6.2%) were BRCA1 and 50 (4.5%) were BRCA2 carriers. Mean age at diagnosis was 49.9 yrs. in BRCA1 carriers (p=.0001 vs. non-carriers (NC)) vs. 52.0 yrs. in BRCA2 carriers (p=.02 vs. NC) and 56.0 yrs. in NC. Pure DCIS was less common in BRCA1 carriers (3%) than in BRCA2 carriers (8.2%) and NC (11.8%) (p=.03). Medullary carcinoma was more common in BRCA1 (9.8%) and BRCA2 carriers (6.7%) than in NC (1.5%) (p<.001). Invasive lobular carcinomas were rarer in BRCA1 (1.6%) and BRCA2 (2.2%) compared to NC (8.8%) (p=.012). Hormone receptors (HR) negative was more common in BRCA1 (62%) compared to BRCA2 carriers (21%) (p=.00006) and NC (17%) (p<0.0001). Triple negative tumors (HR and HER2 negative) were more common in BRCA1 carriers (60%) than in BRCA2 carriers (14%) and NC (8.3%) (p=0.001). High grade was more common in BRCA1 (60.4%) and BRCA2 (51.4%) carriers than in NC (36.7%, p=.001). Less favorable pathological features and younger age at diagnosis in BRCA1 carriers were reflected in a more advanced stage at diagnosis. Stage I at diagnosis was found in 34% of BRCA1 carriers (p=.05 vs. NC), 43% of BRCA2 carriers and 46% of NC, stage II in 48% of BRCA1 carriers, 41% of BRCA2 carriers and 37% of NC, and stage III in 17% of BRCA1 carriers, 13.5% of BRCA2 carriers and 13.5% of non-carriers. Conclusions: This consecutive cohort study demonstrates that breast cancers in BRCA1 carriers are characterized by more aggressive pathological features and are diagnosed at more advanced stages than in BRCA2 carriers and non-carriers. This may suggest a differential approach for prevention and surveillance in BRCA1 compared to BRCA2 carriers. No significant financial relationships to disclose.

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