scholarly journals Effect of tumor size on breast cancer-specific survival stratified by joint hormone receptor status in a SEER population-based study

Oncotarget ◽  
2015 ◽  
Vol 6 (26) ◽  
pp. 22985-22995 ◽  
Author(s):  
Yi-Zi Zheng ◽  
Lei Wang ◽  
Xin Hu ◽  
Zhi-Ming Shao
Keyword(s):  
Breast Cancer ◽  
Tumor Size ◽  
Hormone Receptor ◽  
Population Based ◽  
Hormone Receptor Status ◽  
Breast Cancer Specific Survival ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Receptor Status

scholarly journals Hormone receptor status may impact the survival benefit of surgery in stage IV breast cancer: a population-based study

Oncotarget ◽  
2016 ◽  
Vol 7 (43) ◽  
pp. 70991-71000 ◽  
Author(s):  
Yinuo Tan ◽  
Xiaofen Li ◽  
Haiyan Chen ◽  
Yeting Hu ◽  
Mengjie Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Survival Benefit ◽  
Stage Iv ◽  
Population Based ◽  
Hormone Receptor Status ◽  
Population Based Study ◽  
Receptor Status ◽  
Stage Iv Breast Cancer

scholarly journals Prognostic value of morphology and hormone receptor status in breast cancer – a population-based study

2004 ◽  
Vol 91 (7) ◽  
pp. 1263-1268 ◽  
Author(s):  
C Allemani ◽  
M Sant ◽  
F Berrino ◽  
T Aareleid ◽  
G Chaplain ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Prognostic Value ◽  
Population Based ◽  
Hormone Receptor Status ◽  
Population Based Study ◽  
Receptor Status

scholarly journals Association between Polyphenol Intake and Breast Cancer Risk by Menopausal and Hormone Receptor Status

Nutrients ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 994
Author(s):  
Facundo Vitelli-Storelli ◽  
Raul Zamora-Ros ◽  
Antonio J. Molina ◽  
Tania Fernández-Villa ◽  
Adela Castelló ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Hormone Receptor ◽  
Case Control Study ◽  
Menopausal Status ◽  
Population Based ◽  
Hormone Receptor Status ◽  
Receptor Status ◽  
Cancer Types ◽  
Polyphenol Intake ◽  
Control Study

There is limited evidence of phenolic compounds acting as protective agents on several cancer types, including breast cancer (BC). Nevertheless, some polyphenol classes have not been investigated and there is a lack of studies assessing the effect on menopausal status and hormone receptor status as influenced by these compounds. The objective of this study is to evaluate the association between the intake of all polyphenol classes in relation to the BC risk by menopausal and hormone receptor status. We used data from a population-based multi-case-control study (MCC-Spain) including 1472 BC cases and 1577 controls from 12 different regions of Spain. The odds ratios (ORs) with 95% CI were calculated using logistic regression of mixed effects by quartiles and log2 of polyphenol intakes (adjusted for the residual method) of overall BC, menopausal and receptor status. No associations were found between total intake of polyphenols and BC risk. However, inverse associations were found between stilbenes and all BC risk (ORQ4 vs. Q1: 0.70, 95%CI: 0.56–0.89, Ptrend = 0.001), the consumption of hydroxybenzaldehydes (ORQ4 vs. Q1: 0.75, 95%CI: 0.59–0.93, Ptrend = 0.012) and hydroxycoumarins (ORQ4 vs. Q1: 0.73, 95%CI: 0.57–0.93; Ptrend = 0.005) were also inversely associated. The intake of stilbenes, hydroxybenzaldehydes and hydroxycoumarins can contribute to BC reduction risk on all menopausal and receptor statuses.

4D radiomic biomarker of functional tumor heterogeneity to predict breast cancer recurrence in pretreatment dynamic FDG-PET.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e12573-e12573
Author(s):  
Rhea Chitalia ◽  
Varsha Viswanath ◽  
Austin R. Pantel ◽  
Lanell Peterson ◽  
Eric Cohen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Tumor Size ◽  
Hormone Receptor ◽  
Fdg Pet ◽  
Tumor Heterogeneity ◽  
Hormone Receptor Status ◽  
Receptor Status ◽  
Cancer Heterogeneity ◽  
C Statistic ◽  
Discriminatory Capacity

e12573 Background: Breast cancer heterogeneity is thought to be associated with adverse outcomes. Dynamic molecular imaging modalities, including PET, permit 4-D sampling of tumor biologic properties and can therefore capture functional heterogeneity revealed by the temporal dimension of the dynamic tracer uptake. With the goal of improved non-invasive characterization of in vivo tumor biology, we have developed and tested a novel radiomic biomarker that characterizes 4-D functional tumor heterogeneity (FTH). We hypothesize subclonal populations are spatially contiguous regions of shared physiologic behavior that drive breast cancer heterogeneity and can be quantified. We describe an initial application of this approach to FDG PET imaging of breast cancer. Methods: We retrospectively analyzed data from a study of 50 patients with locally advanced breast cancer. Patients underwent 60-minute dynamic FDG PET over the chest prior to neoadjuvant chemotherapy and breast surgery and were followed for disease recurrence (DFS). A 3-D region bounding each tumor was identified by a radiologist and a novel Markov Random Field based 4-D segmentation paradigm segmented each tumor into three spatially constrained sub-regions with distinct time activity curve dynamics. From each tumor, an FTH imaging signature was extracted characterizing cluster compactness and separation. FTH imaging signatures were z-score normalized across all patients. Time-to-event analysis was used to assess the prognostic value of the FTH imaging signatures in predicting DFS. Discriminatory capacity compared to a baseline model of established prognostic factors (age, hormone receptor status, baseline tumor size) and standard PET uptake and kinetics markers (SUV, K1, and Ki) shown to be predictive of DFS (Dunnwald, J Clin Oncol 26:4449, 2008) was evaluated using the c-statistic and the log-likelihood statistical test. Results: 17 of 50 women (34%) had recurrence events. Adding FTH imaging signatures to the baseline model of age, baseline tumor size, and hormone receptor status improved a cross validated c-statistic from 0.51 to 0.74 (p < 0.05), and demonstrated higher discriminatory capacity over a model of age, tumor size, hormone receptor status, and standard PET measures (c-statistic = 0.59). Conclusions: Imaging biomarkers of 4-D metabolic tumor heterogeneity may add prognostic value in predicting recurrence-free survival in breast cancer and merit further study.

scholarly journals Serum calcium, tumor size, and hormone receptor status in women with untreated breast cancer

2012 ◽  
Vol 13 (7) ◽  
pp. 467-471 ◽  
Author(s):  
Sunn Sunn H. Thaw ◽  
Abe E. Sahmoun ◽  
Gary G. Schwartz
Keyword(s):  
Breast Cancer ◽  
Serum Calcium ◽  
Tumor Size ◽  
Hormone Receptor ◽  
Hormone Receptor Status ◽  
Receptor Status
Sign in / Sign up

Export Citation Format

Share Document