scholarly journals Dissecting the Biological Heterogeneity within Hormone Receptor Positive HER2 Negative Breast Cancer by Gene Expression Markers Identifies Indolent Tumors within Late Stage Disease

2017 ◽  
Vol 10 (4) ◽  
pp. 699-706 ◽  
Author(s):  
Jyothi S Prabhu ◽  
Aruna Korlimarla ◽  
C E Anupama ◽  
Annie Alexander ◽  
Rohini Raghavan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Late Stage ◽  
Hormone Receptor ◽  
Hormone Receptor Positive ◽  
Stage Disease ◽  
Late Stage Disease ◽  
Biological Heterogeneity

scholarly journals Immune microenvironment and intrinsic subtyping in hormone receptor-positive/HER2-negative breast cancer

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Gaia Griguolo ◽  
Maria Vittoria Dieci ◽  
Laia Paré ◽  
Federica Miglietta ◽  
Daniele Giulio Generali ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Gene Expression Data ◽  
Hormone Receptor ◽  
Tumor Biology ◽  
Expression Data ◽  
Immune Microenvironment ◽  
Immune Infiltrate ◽  
Hormone Receptor Positive ◽  
Her2 Breast Cancer

AbstractLittle is known regarding the interaction between immune microenvironment and tumor biology in hormone receptor (HR)+/HER2− breast cancer (BC). We here assess pretreatment gene-expression data from 66 HR+/HER2− early BCs from the LETLOB trial and show that non-luminal tumors (HER2-enriched, Basal-like) present higher tumor-infiltrating lymphocyte levels than luminal tumors. Moreover, significant differences in immune infiltrate composition, assessed by CIBERSORT, were observed: non-luminal tumors showed a more proinflammatory antitumor immune infiltrate composition than luminal ones.

Receipt of Screening Mammography by Insured Women Diagnosed With Breast Cancer and Impact on Outcomes

2021 ◽  
Author(s):  
Marissa B. Lawson ◽  
Christoph I. Lee ◽  
Daniel S. Hippe ◽  
Shasank Chennupati ◽  
Catherine R. Fedorenko ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Diagnosis ◽  
Late Stage ◽  
Breast Cancer Diagnosis ◽  
Screening Mammography ◽  
Socioeconomic Deprivation ◽  
Tumor Characteristics ◽  
Stage Disease ◽  
Increased Risk ◽  
Late Stage Disease

Background: The purpose of this study was to determine factors associated with receipt of screening mammography by insured women before breast cancer diagnosis, and subsequent outcomes. Patients and Methods: Using claims data from commercial and federal payers linked to a regional SEER registry, we identified women diagnosed with breast cancer from 2007 to 2017 and determined receipt of screening mammography within 1 year before diagnosis. We obtained patient and tumor characteristics from the SEER registry and assigned each woman a socioeconomic deprivation score based on residential address. Multivariable logistic regression models were used to evaluate associations of patient and tumor characteristics with late-stage disease and nonreceipt of mammography. We used multivariable Cox proportional hazards models to identify predictors of subsequent mortality. Results: Among 7,047 women, 69% (n=4,853) received screening mammography before breast cancer diagnosis. Compared with women who received mammography, those with no mammography had a higher proportion of late-stage disease (34% vs 10%) and higher 5-year mortality (18% vs 6%). In multivariable modeling, late-stage disease was most associated with nonreceipt of mammography (odds ratio [OR], 4.35; 95% CI, 3.80–4.98). The Cox model indicated that nonreceipt of mammography predicted increased risk of mortality (hazard ratio [HR], 2.00; 95% CI, 1.64–2.43), independent of late-stage disease at diagnosis (HR, 5.00; 95% CI, 4.10–6.10), Charlson comorbidity index score ≥1 (HR, 2.75; 95% CI, 2.26–3.34), and negative estrogen receptor/progesterone receptor status (HR, 2.09; 95% CI, 1.67–2.61). Nonreceipt of mammography was associated with younger age (40–49 vs 50–59 years; OR, 1.69; 95% CI, 1.45–1.96) and increased socioeconomic deprivation (OR, 1.05 per decile increase; 95% CI, 1.03–1.07). Conclusions: In a cohort of insured women diagnosed with breast cancer, nonreceipt of screening mammography was significantly associated with late-stage disease and mortality, suggesting that interventions to further increase uptake of screening mammography may improve breast cancer outcomes.

Women from non-English speaking backgrounds living in Australia present with later stage breast cancer: A population study

2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 17043-17043
Author(s):  
C. K. Lee ◽  
L. Browne ◽  
P. Bastick ◽  
W. Liauw
Keyword(s):  
Breast Cancer ◽  
Late Stage ◽  
New South ◽  
New South Wales ◽  
Breast Cancer Specific Survival ◽  
Cancer Specific Survival ◽  
South Wales ◽  
Stage Disease ◽  
Late Stage Disease ◽  
English Speaking

17043 Background: Ethnicity may influence both the incidence and prognosis of breast cancer. We have conducted an analysis to determine if women from non-English speaking backgrounds (NESB) living in New South Wales (NSW), Australia, present with later stage breast cancer compared to women from English speaking backgrounds (ESB); and to determine whether there is an impact on their survival. Methods: Data from the NSW Cancer Registry (1980 to 2004) was used to identify women with their first presentation of breast cancer. Stage of breast cancer was classified as early (insitu or localized) versus late (regional nodal or distant metastatic spread) according to registry definitions. Country of birth was used as a surrogate for language status. Stage at diagnosis was compared between ESB versus NESB women. Logistic regression was used to determine the odds of late stage disease and Cox regression to determine survival outcomes Results: 60,676 of 75,583 cases were considered suitable for analysis. Of these 16.64% were NESB. Accounting for potential confounding variables, NESB women were more likely to have late stage disease than ESB women (OR= 1.12; 95% CI, 1.07 to 1.17). Analysis by geographical region of birth revealed women born in Middle Eastern region were most likely to have late stage disease at presentation (OR 1.41; 95% CI, 1.25 to 1.60). In multivariable analysis of all-cause mortality NESB women had a superior overall survival (HR 0.90; 95% CI 0.87 to 0.94) compared to ESB women, however, there was no difference in breast cancer specific survival between these groups by univariate analysis (logrank p=0.46). Conclusions: In New South Wales, Australia, NESB women have a delayed presentation with breast cancer as indicted by more advanced stage. However, stage-adjusted, breast cancer specific survival in NESB women is similar to the ESB women. Further studies are required to determine the reasons for delayed detection for NESB women. No significant financial relationships to disclose.

scholarly journals Sample Preparation Approach Influences PAM50 Risk of Recurrence Score in Early Breast Cancer

Cancers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 6118
Author(s):  
Tonje Lien ◽  
Hege Ohnstad ◽  
Ole Lingjærde ◽  
Johan Vallon-Christersson ◽  
Marit Aaserud ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Sample Preparation ◽  
Early Breast Cancer ◽  
Hormone Receptor ◽  
Treatment Recommendations ◽  
Ffpe Tissue ◽  
Risk Of Recurrence ◽  
Hormone Receptor Positive ◽  
Bulk Tissue

The PAM50 gene expression subtypes and the associated risk of recurrence (ROR) score are used to predict the risk of recurrence and the benefits of adjuvant therapy in early-stage breast cancer. The Prosigna assay includes the PAM50 subtypes along with their clinicopathological features, and is approved for treatment recommendations for adjuvant hormonal therapy and chemotherapy in hormone-receptor-positive early breast cancer. The Prosigna test utilizes RNA extracted from macrodissected tumor cells obtained from formalin-fixed, paraffin-embedded (FFPE) tissue sections. However, RNA extracted from fresh-frozen (FF) bulk tissue without macrodissection is widely used for research purposes, and yields high-quality RNA for downstream analyses. To investigate the impact of the sample preparation approach on ROR scores, we analyzed 94 breast carcinomas included in an observational study that had available gene expression data from macrodissected FFPE tissue and FF bulk tumor tissue, along with the clinically approved Prosigna scores for the node-negative, hormone-receptor-positive, HER2-negative cases (n = 54). ROR scores were calculated in R; the resulting two sets of scores from FFPE and FF samples were compared, and treatment recommendations were evaluated. Overall, ROR scores calculated based on the macrodissected FFPE tissue were consistent with the Prosigna scores. However, analyses from bulk tissue yielded a higher proportion of cases classified as normal-like; these were samples with relatively low tumor cellularity, leading to lower ROR scores. When comparing ROR scores (low, intermediate, and high), discordant cases between the two preparation approaches were revealed among the luminal tumors; the recommended treatment would have changed in a minority of cases.

The impact of COVID-19 on breast cancer stage at diagnosis.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 528-528
Author(s):  
Maxwell Roger Lloyd ◽  
Sarah Jo Stephens ◽  
Julian C. Hong ◽  
Ted A. James ◽  
Tejas Mehta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Multivariate Analysis ◽  
Late Stage ◽  
The United States ◽  
Stage At Diagnosis ◽  
Lower Income ◽  
Control Cohort ◽  
Stage Disease ◽  
Late Stage Disease ◽  
The Impact

528 Background: During the SARS-CoV-2 pandemic, routine screening mammography (SM) was stopped and diagnostic mammography (DM) was limited for several months across the United States in order to reduce patient exposure and redeploy medical personnel. We hypothesized that this delay would result in patients presenting with later-stage disease following the initial shutdown. Methods: Patients diagnosed with invasive breast cancers from 2016-2020 were identified using the Beth Israel Deaconess Medical Center Cancer Registry. Baseline patient characteristics, demographics, and clinical information were gathered and cross-referenced with our electronic medical record. Late-stage disease was defined as initial anatomic stage III-IV disease in the AJCC 8th edition staging system. The control cohort consisted of patients diagnosed from 2016-2019; patients diagnosed in 2020 were the test cohort. Chi-squared analysis was used to compare monthly distributions in stage at diagnosis between the control and test cohorts. Multivariate analysis was performed using a logistic regression model. Results: There were 1597 patients diagnosed with invasive breast cancer between 2016-2019 and 333 in 2020. Median age at diagnosis was 60 years; 99% were female, and 69.1% were white. Mammography was limited from 3/16/20-6/8/20, with 90% reduction in volume during this time. The number of screening studies performed in March, April, May, and June of 2020 were 987, 1, 4, and 721 compared to 2042, 2141, 2241, and 2142 in 2019. The volume of new diagnoses per month decreased substantially during the shutdown (see table). The proportion of patients diagnosed with late-stage disease was 6.6% in the control cohort compared to 12.6% in the 2020 test cohort (p < 0.001); 92.9% of late-stage diagnoses in 2020 occurred from June to December following the shutdown period. On multivariate analysis, year of diagnosis (2020 vs 2016-2019; OR = 4.25 95% CI 0.035-0.095, p < 0.001), lower income (<200% of the federal poverty level; OR = 2.73 95% CI 0.016-0.099, p = 0.006) and increased Charlson Comorbidity Index (OR = 12.01 95% CI 0.037-0.052, p < 0.001) were associated with later stage at diagnosis. Conclusions: Patients were more likely to be diagnosed with late-stage breast cancer following the global shutdown due to the SARS-CoV-2 pandemic. Patients with lower income and medical comorbidities were disproportionately affected. These data raise significant concerns regarding the impact of SARS-CoV-2 on cancer diagnoses and long-term outcomes, especially in vulnerable patient populations.[Table: see text]

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