Oncotype DX DCIS use and clinical utility: A SEER population-based study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e12046-e12046 ◽  
Author(s):  
Yao Yuan ◽  
Alison Len Van Dyke ◽  
Allison W. Kurian ◽  
Serban Negoita ◽  
Valentina I. Petkov
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Risk Group ◽  
Low Risk ◽  
Cancer Data ◽  
Gene Assay ◽  
Risk Patients ◽  
To Receive ◽  
In Situ Breast Cancer

e12046 Background: OncotypeDX DCIS is a 12-gene assay designed to predict the 10-year risk of local recurrence and to guide treatment decisions, specifically the benefit of radiation therapy in breast ductal carcinoma in situ (DCIS). The test became available in December 2011 and is not currently recommended by guidelines. The Surveillance, Epidemiology and End Results (SEER) program captures cancer data at the population-level and has been conducting annual linkages with Genomic Health Clinical Laboratory, the only lab performing the test, to identify patients receiving the test. Methods: SEER cases diagnosed with in situ breast cancer (DCIS or papillary in situ) between 2011-2015 were included in the analysis. SEER data on patient demographics, tumor characteristics, and treatments were combined with linkage variables for OncotypeDX DCIS tests reported by Genomic Health. Logistic regression was used to identify which patient related factors were associated with having received the test and to evaluate the relationship between test generated risk categories and treatments. Results: Of the 68,826 in situ breast cancer cases, 2,155 were linked to DCIS test data. Test utilization increased from < 1% to 5.3% for patients diagnosed in 2011 vs. 2015. Patients were less likely to receive the test if they had larger and higher-grade tumors, were divorced, had Medicaid insurance, and were in the lowest socioeconomic status tertile. The majority of patients (68%) were at low risk, 17% intermediate, and 15% in the high risk group. Patients at intermediate or high risk were more likely to receive radiation (OR = 2.4, 95% CI: 1.8-3.2 and OR = 3, 95% CI: 2.3,4.1, respectively) than the low risk group. High risk patients were more likely than low risk patients to receive chemotherapy (OR = 4.3, 95% CI: 1.2, 14.4) and to undergo mastectomy than lumpectomy (OR = 1.47, 95% CI: 1.12-1.93). Conclusions: Clinical adoption of the OncotypeDX DCIS test has been slow. The association between multiple demographic factors and receiving the test indicated disparities in the US population. Clinical factors also influenced whether patients received the test. OncotypeDX DCIS results appeared to guide clinical decisions.

scholarly journals Impact of Different Modules of 21-Gene Assay in Early Breast Cancer Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Mengdi Chen ◽  
Deyue Liu ◽  
Weilin Chen ◽  
Weiguo Chen ◽  
Kunwei Shen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Cancer Patients ◽  
Low Risk ◽  
Breast Cancer Patients ◽  
Younger Patients ◽  
Gene Assay ◽  
Risk Patients ◽  
Gene Modules ◽  
The Impact

BackgroundThe 21-gene assay recurrence score (RS) provides additional information on recurrence risk of breast cancer patients and prediction of chemotherapy benefit. Previous studies that examined the contribution of the individual genes and gene modules of RS were conducted mostly in postmenopausal patients. We aimed to evaluate the gene modules of RS in patients of different ages.MethodsA total of 1,078 estrogen receptor (ER)-positive and human epidermal growth factor receptor 2 (HER2)-negative breast cancer patients diagnosed between January 2009 and March 2017 from Shanghai Jiao Tong University Breast Cancer Data Base were included. All patients were divided into three subgroups: Group A, ≤40 years and premenopausal (n = 97); Group B, &gt;40 years and premenopausal (n = 284); Group C, postmenopausal (n = 697). The estrogen, proliferation, invasion, and HER2 module scores from RS were used to characterize the respective molecular features. Spearman correlation and analysis of the variance tests were conducted for RS and its constituent modules.ResultsIn patients &gt;40 years, RS had a strong negative correlation with its estrogen module (ρ = −0.76 and −0.79 in Groups B and C) and a weak positive correlation with its invasion module (ρ = 0.29 and 0.25 in Groups B and C). The proliferation module mostly contributed to the variance in young patients (37.3%) while the ER module contributed most in old patients (54.1% and 53.4% in Groups B and C). In the genetic high-risk (RS &gt;25) group, the proliferation module was the leading driver in all patients (ρ = 0.38, 0.53, and 0.52 in Groups A, B, and C) while the estrogen module had a weaker correlation with RS. The impact of ER module on RS was stronger in clinical low-risk patients while the effect of the proliferation module was stronger in clinical high-risk patients. The association between the RS and estrogen module was weaker among younger patients, especially in genetic low-risk patients.ConclusionsRS was primarily driven by the estrogen module regardless of age, but the proliferation module had a stronger impact on RS in younger patients. The impact of modules varied in patients with different genetic and clinical risks.

A prognostic 10-miRNA risk score (10-miRNA RS) in predicting neoadjuvant chemotherapy sensitivity of luminal breast cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 3139-3139
Author(s):  
Chang Gong ◽  
Luyuan Tan ◽  
Na You ◽  
Kai Chen ◽  
Weige Tan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Luminal Breast Cancer ◽  
Breast Cancer Patients ◽  
Luminal B ◽  
Risk Patients

3139 Background: The 10-miRNA risk score is a prognostic 10-gene expression signature specifically developed in luminal breast cancer associated with relapse-free survival. Since high-risk patients identified by10-miRNA RS had worse prognosis but better outcome with chemotherapy than low-risk patients (Gong C et al, EBioMedicine. 2016), this model may facilitate personalized therapy-decision making for luminal breast cancer patients. Therefore, we seek to validate whether high-risk group are more sensitive to chemotherapy than low-risk group by assessing the predictive value of 10-miRNA RS for pathological complete response (pCR) in patients receiving neoadjuvant chemotherapy (NAC). Methods: The 10-miRNA gene expression and clinicopathological data were prospectively gathered from 251 pretreated biopsy-diagnosed luminal breast cancer patients from 4 breast cancer centers. Formalin-fixed paraffin-embedded tissues from basal line biopsy were used for the detection of 10-miRNA expression to calculate the RS. The correlation between pCR and the 10-miRNA RS classification were identified. Results: In this prospective, multicenter study, the overall pCR rate was 13.6% (34/251). The 10-miRNA RS of the pCR group was significantly higher than the non-pCR group ( P = 0.015). Fifty-one percent of patients were classified as low-risk according to the 10-miRNA RS classification and 49% as high-risk with a RS cut-off point of 2.144. The 10-miRNA RS classification was associated with a pCR rate of 9.4% in the low-risk group and 17.8% in the high-risk group ( P = 0.041). The correlation between the pCR and the 10-miRNA RS classification was significant in subgroup analysis stratified by molecular subtypes (8% vs. 13.2% in luminal B1; 14.7% vs. 30.1% in luminal B2; no pCR was observed in all 13 luminal A subtype). In multivariate analysis, the 10-miRNA RS remained significantly associated with pCR and independent from subtype, ki67 and other clinicopathological characteristics. Conclusions: 10-miRNA RS clearly defined that high-risk patients are more sensitive to chemotherapy which leads to a higher pCR rate in NAC patients. Thus, 10-miRNA RS is not only a prognostic factor but an effective method in determining whether a patient would undergo surgery or receive NAC prior to surgery. Clinical trial information: ChiCTR-DDD-17013651.

scholarly journals Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay

Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2772
Author(s):  
Michael A. Jacobs ◽  
Christopher B. Umbricht ◽  
Vishwa S. Parekh ◽  
Riham H. El Khouli ◽  
Leslie Cope ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Risk Group ◽  
Area Under The Curve ◽  
Risk Groups ◽  
High Risk Group ◽  
Low Risk ◽  
Intermediate Risk ◽  
Breast Cancer Patients ◽  
Gene Assay

Optimal use of multiparametric magnetic resonance imaging (mpMRI) can identify key MRI parameters and provide unique tissue signatures defining phenotypes of breast cancer. We have developed and implemented a new machine-learning informatic system, termed Informatics Radiomics Integration System (IRIS) that integrates clinical variables, derived from imaging and electronic medical health records (EHR) with multiparametric radiomics (mpRad) for identifying potential risk of local or systemic recurrence in breast cancer patients. We tested the model in patients (n = 80) who had Estrogen Receptor positive disease and underwent OncotypeDX gene testing, radiomic analysis, and breast mpMRI. The IRIS method was trained using the mpMRI, clinical, pathologic, and radiomic descriptors for prediction of the OncotypeDX risk score. The trained mpRad IRIS model had a 95% and specificity was 83% with an Area Under the Curve (AUC) of 0.89 for classifying low risk patients from the intermediate and high-risk groups. The lesion size was larger for the high-risk group (2.9 ± 1.7 mm) and lower for both low risk (1.9 ± 1.3 mm) and intermediate risk (1.7 ± 1.4 mm) groups. The lesion apparent diffusion coefficient (ADC) map values for high- and intermediate-risk groups were significantly (p < 0.05) lower than the low-risk group (1.14 vs. 1.49 × 10−3 mm2/s). These initial studies provide deeper insight into the clinical, pathological, quantitative imaging, and radiomic features, and provide the foundation to relate these features to the assessment of treatment response for improved personalized medicine.

Changing Paradigms in Breast Cancer Management: Introducing Molecular Genetics into the Treatment Algorithm

2008 ◽  
Vol 74 (10) ◽  
pp. 887-890 ◽  
Author(s):  
Jessica A. Rayhanabad ◽  
L. Andrew Difronzo ◽  
Phillip I. Haigh ◽  
Lina Romero
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Molecular Genetics ◽  
Risk Group ◽  
Recurrence Risk ◽  
Low Risk ◽  
Oncotype Dx ◽  
Risk Of Recurrence ◽  
Cancer Management ◽  
Gene Assay

Advances in molecular genetics aimed at individualizing breast cancer treatment have been validated. We examined the use of gene assays predictive of distant recurrence in breast cancer and their impact on adjuvant treatment. A retrospective chart review of 58 T1/T2, node-negative, estrogen-receptor positive breast cancer patients that underwent Oncotype DX gene assay testing between January and December 2006 was performed. We compared treatment received after gene assay evaluation to treatment based on National Comprehensive Cancer Network guidelines. Patients were grouped using these recommendations: Low-risk group (T1a/T1b), no chemotherapy; High-risk group (T1c/T2), chemotherapy. Oncotype DX recommendations are as follows: Low recurrence risk, no chemotherapy; high recurrence risk, chemotherapy. A change in management was defined as chemotherapy for T1a/T1b disease and no chemotherapy for T1c/T2 disease. Two T1a/T1b patients had high risk of recurrence per gene assay scores and were treated with chemotherapy (P < 0.05). Eighteen T1c/T2 patients had low recurrence risk scores; 13 (72%) were spared chemotherapy. The recurrence score increased the number of patients classified as low risk of recurrence by 12 per cent and downstaged 63 per cent of high-risk patients (P < 0.003). Gene assay results changed management in 15 of 58 (26%) patients (P < 0.05). The use of gene assays allowed us to better tailor treatment in a significant number of our patients.

scholarly journals Echocardiography and EuroSCORE II for the stratification of low-gradient severe aortic stenosis and preserved left ventricular ejection fraction

2021 ◽  
Author(s):  
Yan Fan ◽  
Hong Shen ◽  
Brandon Stacey ◽  
David Zhao ◽  
Robert J. Applegate ◽  
...  
Keyword(s):  
High Risk ◽  
Left Ventricular Ejection Fraction ◽  
Risk Group ◽  
Severe Aortic Stenosis ◽  
Left Ventricular ◽  
High Risk Group ◽  
Low Risk ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Risk Patients

AbstractThe purpose of this study was to explore the utility of echocardiography and the EuroSCORE II in stratifying patients with low-gradient severe aortic stenosis (LG SAS) and preserved left ventricular ejection fraction (LVEF ≥ 50%) with or without aortic valve intervention (AVI). The study included 323 patients with LG SAS (aortic valve area ≤ 1.0 cm2 and mean pressure gradient < 40 mmHg). Patients were divided into two groups: a high-risk group (EuroSCORE II ≥ 4%, n = 115) and a low-risk group (EuroSCORE II < 4%, n = 208). Echocardiographic and clinical characteristics were analyzed. All-cause mortality was used as a clinical outcome during mean follow-up of 2 ± 1.3 years. Two-year cumulative survival was significantly lower in the high-risk group than the low-risk patients (62.3% vs. 81.7%, p = 0.001). AVI tended to reduce mortality in the high-risk patients (70% vs. 59%; p = 0.065). It did not significantly reduce mortality in the low-risk patients (82.8% with AVI vs. 81.2%, p = 0.68). Multivariable analysis identified heart failure, renal dysfunction and stroke volume index (SVi) as independent predictors for mortality. The study suggested that individualization of AVI based on risk stratification could be considered in a patient with LG SAS and preserved LVEF.

Multiple Immunofluorescence Imaging Analysis Reveals Differential Expression of Disialogangliosides GD3 and GD2 in Neuroblastomas

2021 ◽  
pp. 109352662110487
Author(s):  
Haruna Nishimaki ◽  
Yoko Nakanishi ◽  
Hiroshi Yagasaki ◽  
Shinobu Masuda
Keyword(s):  
High Risk ◽  
Risk Group ◽  
Staging System ◽  
Low Risk ◽  
Overall Survival Rate ◽  
Imaging Analysis ◽  
Tissue Samples ◽  
Risk Patients ◽  
Neuroblastic Tumors ◽  
Expression Status

Background Peripheral neuroblastic tumors (pNTs) are the most common childhood extracranial solid tumors. There are several therapeutic strategies targeting disialoganglioside GD2. Disialoganglioside GD3 has become a potential target. However, the mechanism by which pNTs express GD3 and GD2 remains unclear. We investigated the combined expression status of GD3 and GD2 in pNTs and delineated their clinicopathological values. Methods GD3 and GD2 expression was examined in pNT tissue samples (n = 35) using immunohistochemistry and multiple immunofluorescence imaging. Results GD3 and GD2 expression was positive in 32/35 and 25/35 samples, respectively. Combinatorial analysis of GD3 and GD2 expression in neuroblastoma showed that both were heterogeneously expressed from cell to cell. There were higher numbers of GD3-positive and GD2-negative cells in the low-risk group than in the intermediate-risk ( P = 0.014) and high-risk ( P = 0.009) groups. Cases with high proportions of GD3-positive and GD2-negative cells were associated with the International Neuroblastoma Staging System stage ( P = 0.004), Children’s Oncology Group risk group ( P = 0.001), and outcome ( P = 0.019) and tended to have a higher overall survival rate. Conclusion We demonstrated that neuroblastomas from low-risk patients included more GD3-positive and GD2-negative cells than those from high-risk patients. Clarifying the heterogeneity of neuroblastoma aids in better understanding the biological characteristics and clinical behavior.

scholarly journals Pre-hospital risk assessment in suspected non-ST-elevation acute coronary syndrome: A prospective observational study

2018 ◽  
Vol 9 (1_suppl) ◽  
pp. 5-12 ◽  
Author(s):  
Dominique N van Dongen ◽  
Rudolf T Tolsma ◽  
Marion J Fokkert ◽  
Erik A Badings ◽  
Aize van der Sluis ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
High Risk ◽  
Risk Stratification ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Heart Score ◽  
Coronary Syndrome ◽  
Risk Patients ◽  
St Elevation

Background: Pre-hospital risk stratification of non-ST-elevation acute coronary syndrome (NSTE-ACS) by the complete HEART score has not yet been assessed. We investigated whether pre-hospital risk stratification of patients with suspected NSTE-ACS using the HEART score is accurate in predicting major adverse cardiac events (MACE). Methods: This is a prospective observational study, including 700 patients with suspected NSTE-ACS. Risk stratification was performed by ambulance paramedics, using the HEART score; low risk was defined as HEART score ⩽ 3. Primary endpoint was occurrence of MACE within 45 days after inclusion. Secondary endpoint was myocardial infarction or death. Results: A total of 172 patients (24.6%) were stratified as low risk and 528 patients (75.4%) as intermediate to high risk. Mean age was 53.9 years in the low risk group and 66.7 years in the intermediate to high risk group ( p<0.001), 50% were male in the low risk group versus 60% in the intermediate to high risk group ( p=0.026). MACE occurred in five patients in the low risk group (2.9%) and in 111 (21.0%) patients at intermediate or high risk ( p<0.001). There were no deaths in the low risk group and the occurrence of acute myocardial infarction in this group was 1.2%. In the high risk group six patients died (1.1%) and 76 patients had myocardial infarction (14.4%). Conclusions: In suspected NSTE-ACS, pre-hospital risk stratification by ambulance paramedics, including troponin measurement, is accurate in differentiating between low and intermediate to high risk. Future studies should investigate whether transportation of low risk patients to a hospital can be avoided, and whether high risk patients benefit from immediate transfer to a hospital with early coronary angiography possibilities.

scholarly journals Saliva pH Changes in Patients with High and Low Caries Risk After Consuming Organic (Sucrose) and Non-Organic (Maltitol) Sugar

2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Widowati W ◽  
Akbar SH ◽  
Tin MH
Keyword(s):  
High Risk ◽  
Risk Group ◽  
High Risk Group ◽  
Low Risk ◽  
Caries Risk ◽  
Ph Changes ◽  
Ph Values ◽  
High Caries Risk ◽  
Risk Patients ◽  
Snack Consumption

Introduction: Enamel demineralization is associated with decrease in saliva pH due to fermentation of sugar by oral commensal. Thus, exploring the changing pattern of saliva pH is meaningful in dental caries prevention. The aim of this study was to compare the changing pattern of saliva pH after consuming different types of sweeteners (sucrose and maltitol). Methods: It was a case-control study involving 14 male patients attending IIUM dental clinic who were selected with the intention of getting seven patients with high caries risk ( DMFT ≥6) and seven patients with low caries risk (DMFT ≤3) with initial saliva pH interval of 6.5 to7.5. Patients were asked to consume snacks containing 8 gram sucrose and 8 gram maltitol as sweeteners. The changing pH values of the saliva were measured by Waterproof pHTestr 10BNC (Oakton, Vernon Hills, USA) seven times consecutively at 0 (before snack consumption), and at 5, 10, 15, 20, 30 and 60 minutes after snack consumption. The pH values of saliva of patients with low and high caries risk after consuming sucrose and maltitol were statistically analized by using Anova and Tukey-HSD tests at α = 0.05. Result: There were significant differences in saliva pH changes between low-risk group and high-risk group after consuming sucrose and maltitol. Conclusion: The changing patterns of saliva pH in high-risk patients were lower than those of low-risk patients after consuming two types of snacks containing sucrose and maltitol.

scholarly journals A Novel Autophagy-Related lncRNA Gene Signature to Improve the Prognosis of Patients with Melanoma

2020 ◽  
Author(s):  
Yi Ding ◽  
Tian Li ◽  
Min Li ◽  
Tuersong Tayier ◽  
MeiLin Zhang ◽  
...  
Keyword(s):  
Overall Survival ◽  
High Risk ◽  
Risk Model ◽  
Risk Group ◽  
Clinical Information ◽  
Low Risk ◽  
Gene Set Enrichment Analysis ◽  
Positive Regulation ◽  
Risk Patients ◽  
Cox Analysis

Abstract Background: Autophagy and long non-coding RNAs (lncRNAs) have been the focus of research on the pathogenesis of melanoma. However, the autophagy network of lncRNAs in melanoma has not been reported. The purpose of this study was to investigate the lncRNA prognostic markers related to melanoma autophagy and predict the prognosis of patients with melanoma.Methods: We downloaded RNA-sequencing data and clinical information of melanoma from The Cancer Genome Atlas. The co-expression of autophagy-related genes (ARGs) and lncRNAs was analyzed. The risk model of autophagy-related lncRNAs was established by univariate and multivariate COX regression analyses, and the best prognostic index was evaluated combined with clinical data. Finally, gene set enrichment analysis was performed on patients in the high- and low-risk groups.Results: According to the results of the univariate COX analysis, only the overexpression of LINC00520 was associated with poor overall survival, unlike HLA-DQB1-AS1, USP30-AS1, AL645929, AL365361, LINC00324, and AC055822. The results of the multivariate COX analysis showed that the overall survival of patients in the high-risk group was shorter than that recorded in the low-risk group (p<0.001). Moreover, in the receiver operating characteristic curve of the risk model we constructed, the area under the curve (AUC) was 0.734, while the AUC of T and N was 0.707 and 0.658, respectively. The Gene Ontology was mainly enriched with the positive regulation of autophagy and the activation of the immune system. The results of the Kyoto Encyclopedia of Genes and Genomes enrichment were mostly related to autophagy, immunity, and melanin metabolism.Conclusion: The positive regulation of autophagy may slow the transition from low-risk patients to high-risk patients in melanoma. Furthermore, compared with clinical information, the autophagy-related lncRNAs risk model may better predict the prognosis of patients with melanoma and provide new treatment ideas.

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