scholarly journals Oncotype DX Breast Cancer recurrence score resists inter-assay reproducibility with RT2-Profiler Multiplex RT-PCR

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Verena Schildgen ◽  
Mathias Warm ◽  
Michael Brockmann ◽  
Oliver Schildgen
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cancer Patients ◽  
Single Gene ◽  
Cancer Recurrence ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Breast Cancer Patients ◽  
Predictive Values ◽  
Individual Gene

AbstractThe Oncotype Dx assay is frequently used to test if breast cancer patients can be spared from chemotherapy without negative effects for their future clinical course. However, due to conflicting data on the assay utility, in the recent past its reimbursement situation in Germany was revised; due to continued requests by clinicians for predictive values, our group decided to implement an Oncotype Dx like alternative assay with the objective of obtaining quality and cost optimization. Customized RT2-Profiler assays covering the 21 gene panel of the Oncotype Dx assay were applied to a pilot cohort of breast cancer patients with known Oncotype Dx Recurrence Score (RS). The Ct values obtained with RT2-Profiler-assays were used to calculate the unscaled Recurrence Score (RSu) values and the thereon based RS according to the Oncotype DX assay rules if available. Despite consistent assay performance it was impossible to establish correlations between RT2-Profiler recurrence scores with the respective Oncotype DX values not to mention exact matches. By following the Oncotype DX assay and its interpretation as close as possible we faced several obstructions such as lack of information on RNA amount used, missing units in the single gene expression report, missing references cited in the original study that should explain the determination of the recurrence score formula, and vague information on the normalization of the gene expression impeding the reproduction of Oncotype Dx results in other laboratories. Unfortunately, the Oncotype Dx assay cannot be confirmed by the customized RT2-profiler assay, not least because of the fact that the individual gene measurements are not provided in the medical report, although these are mandatory for the RS calculation. In fact, the “single gene report” only contains unscaled scores of the ER, PR, and Her2 genes without any internationally accepted unit used to describe a transcript quantity. Therefore a direct comparison with the in-house measurement to evaluate its performance is impossible. With regard to our findings and the fact that the Oncotype RS represents a likelihood of the risk of relapse it thus remains impossible to assess the clinical necessity of this assay.

scholarly journals Comprehensive Association Analysis of 21-Gene Recurrence Score and Obesity in Chinese Breast Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Yiwei Tong ◽  
Weiqi Gao ◽  
Jiayi Wu ◽  
Siji Zhu ◽  
Ou Huang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Cancer Patients ◽  
Prognostic Value ◽  
Single Gene ◽  
Menopausal Status ◽  
Recurrence Score ◽  
Risk Category ◽  
Obese Patients ◽  
Breast Cancer Patients

PurposeA center-specific 21-gene recurrence score (RS) assay has been validated in Luminal-like, HER2-, pN0-1 Chinese breast cancer patients with both predictive and prognostic value. The association between RS and host factors such as obesity remains unclear. The objectives of the current study are to comprehensively analyze the distribution, single gene expression, and prognostic value of RS among non-overweight, overweight and obese patients.Patients and methodsLuminal-like patients between January 2009 and December 2018 were retrospectively reviewed. Association and subgroup analysis between BMI and RS were conducted. Single-gene expression in RS panel was compared according to BMI status. Disease-free survival (DFS) and overall survival (OS) were calculated according to risk category and BMI status.ResultsAmong 1876 patients included, 124 (6.6%), 896 (47.8%) and 856 (45.6%) had RS < 11, RS 11-25, and RS ≥ 26, respectively. Risk category was significantly differently distributed by BMI status (P=0.033). Obese patients were more likely to have RS < 11 (OR 2.45, 95% CI 1.38-4.35, P=0.002) compared with non-overweight patients. The effect of BMI on RS significantly varied according to menstruation (P<0.05). Compared to non-overweight patients, obese ones presented significantly higher ER, PR, CEGP1, Ki67, CCNB1 and GSTM1 (all P<0.05) mRNA expression, and such difference was mainly observed in postmenopausal population. After a median follow-up of 39.40 months (range 1.67-119.53), RS could significantly predict DFS in whole population (P=0.001). RS was associated with DFS in non-overweight (P=0.046), but not in overweight (P=0.558) or obese (P=0.114) population.ConclusionsRS was differently distributed among different BMI status, which interacted with menopausal status. Estrogen receptor and proliferation group genes were more expressed in obese patients, especially in postmenopausal population.

Predictors of adjuvant chemotherapy for breast cancer patients with an intermediate Oncotype-DX score: A SEER-based population study.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e12014-e12014
Author(s):  
Sowmya Goranta ◽  
Tarek Haykal ◽  
Areeg Bala ◽  
Ragheed Al-Dulaimi ◽  
Ghassan Bachuwa ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Overall Survival ◽  
Multivariate Analysis ◽  
Adjuvant Chemotherapy ◽  
Cancer Patients ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Breast Cancer Patients ◽  
T Stage ◽  
Grade Iii

e12014 Background: Oncotype-DX Assay is a 21-gene based recurrence score (RS) that helps stratify breast cancer patients based on their risk of recurrence. It is often used to help identify patients that may benefit from adjuvant chemotherapy (AC). Prior to the TAILORx Trial results, there were no guidelines for AC in patients with an intermediate score (18-30). Management of these patients was often at the clinical judgement of the provider. We sought to determine predictors of AC among these patients, and measure treatment effect on survival. Methods: We queried the Surveillance, Epidemiology, and End-Results database for breast cancer patients newly diagnosed between 2010-2015. We included patients with T1-T3, hormone receptor positive, HER2-negative, and lymph node-negative breast cancer with an intermediate RS. Male patients, those younger than 40 years, tumors 5 mm or less, and incomplete records were excluded. Univariate and multivariate analysis was performed to derive independent predictors of AC. Cox Proportional-Hazards Model was done to examine the effect of AC on survival. Results: We included 14,710 patients of whom 4,508 (30.6%) received AC. Patients that received AC were younger (55.4 years [8.8] vs 60.0 [9.7], p < 0.001), grade III or higher (29.8% vs 16.4%, p < 0.001), and had a higher RS (23.9 [3.6] vs 21.5 [3.1], p < 0.001). Higher T stage was associated with a higher rate of patients receiving AC (p < 0.001). Marital status was also associated with AC; a higher proportion of patients who received AC were married (67.9% vs 64.4%, p < 0.001). There was no significant association between race/ethnicity or insurance type with AC. Multivariate analysis showed that RS (OR: 1.24 [1.23-1.26], p < 0.001), T stage (OR: 1.67 [1.21-2.30], p < 0.001), and a grade III tumor (OR: 1.85 [1.64-2.09], p < 0.001) were the strongest predictors of AC. The age decile 80-89 years (OR: 0.05 [0.02-0.10], p < 0.001) was the most negative predictor of AC. AC did not have an effect on 5 year overall survival (97.6% vs 96.0%, p = 0.28). Conclusions: Between 2010-2015, our study shows 30.6% of breast cancers patients with an intermediate Oncotype-DX score were given AC. The decision to treat was largely based on tumor size, grade and age. AC had no effect on overall survival.

Oncotype-DX recurrence score distribution in breast cancer patients with BRCA1/2 mutations

2016 ◽  
Vol 157 (3) ◽  
pp. 511-516 ◽  
Author(s):  
R. Lewin ◽  
A. Sulkes ◽  
T. Shochat ◽  
D. Tsoref ◽  
S. Rizel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Breast Cancer Patients ◽  
Score Distribution ◽  
Oncotype Dx Recurrence Score

scholarly journals Germline variants associated with leukocyte genes predict tumor recurrence in breast cancer patients

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Jean-Sébastien Milanese ◽  
Chabane Tibiche ◽  
Jinfeng Zou ◽  
Zhigang Meng ◽  
Andre Nantel ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Clinical Outcomes ◽  
Cell Function ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Breast Cancer Patients ◽  
Sequencing Data ◽  
Germline Variants ◽  
Gene Signatures

Abstract Germline variants such as BRCA1/2 play an important role in tumorigenesis and clinical outcomes of cancer patients. However, only a small fraction (i.e., 5–10%) of inherited variants has been associated with clinical outcomes (e.g., BRCA1/2, APC, TP53, PTEN and so on). The challenge remains in using these inherited germline variants to predict clinical outcomes of cancer patient population. In an attempt to solve this issue, we applied our recently developed algorithm, eTumorMetastasis, which constructs predictive models, on exome sequencing data to ER+ breast (n = 755) cancer patients. Gene signatures derived from the genes containing functionally germline variants significantly distinguished recurred and non-recurred patients in two ER+ breast cancer independent cohorts (n = 200 and 295, P = 1.4 × 10−3). Furthermore, we compared our results with the widely known Oncotype DX test (i.e., Oncotype DX breast cancer recurrence score) and outperformed prediction for both high- and low-risk groups. Finally, we found that recurred patients possessed a higher rate of germline variants. In addition, the inherited germline variants from these gene signatures were predominately enriched in T cell function, antigen presentation, and cytokine interactions, likely impairing the adaptive and innate immune response thus favoring a pro-tumorigenic environment. Hence, germline genomic information could be used for developing non-invasive genomic tests for predicting patients’ outcomes in breast cancer.

scholarly journals Impact of Oncotype DX testing on ER+ breast cancer treatment and survival in the first decade of use

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Evelien Schaafsma ◽  
Baoyi Zhang ◽  
Merit Schaafsma ◽  
Chun-Yip Tong ◽  
Lanjing Zhang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Cancer Patients ◽  
Temporal Trends ◽  
Recurrence Score ◽  
Low Risk ◽  
Oncotype Dx ◽  
Risk Scores ◽  
Breast Cancer Patients ◽  
Risk Patients

Abstract Background The Oncotype DX breast recurrence score has been introduced more than a decade ago to aid physicians in determining the need for systemic adjuvant chemotherapy in patients with early-stage, estrogen receptor (ER)+, lymph node-negative breast cancer. Methods In this study, we utilized data from The Surveillance, Epidemiology, and End Results (SEER) Program to investigate temporal trends in Oncotype DX usage among US breast cancer patients in the first decade after the introduction of the Oncotype DX assay. Results We found that the use of Oncotype DX has steadily increased in the first decade of use and that this increase is associated with a decreased usage of chemotherapy. Patients who utilized the Oncotype DX test tended to have improved survival compared to patients who did not use the assay even after adjusting for clinical variables associated with prognosis. In addition, chemotherapy usage in patients with high-risk scores is associated with significantly longer overall and breast cancer-specific survival compared to high-risk patients who did not receive chemotherapy. On the contrary, patients with low-risk scores who were treated with chemotherapy tended to have shorter overall survival compared to low-risk patients who forwent chemotherapy. Conclusion We have provided a comprehensive temporal overview of the use of Oncotype DX in breast cancer patients in the first decade after Oncotype DX was introduced. Our results suggest that the use of Oncotype DX is increasing in ER+ breast cancer and that the Oncotype DX test results provide valuable information for patient treatment and prognosis.

scholarly journals Multi-Gene Prognostic Signatures and Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in ER-Positive, HER2-Negative Breast Cancer Patients

Cancers ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1133 ◽  
Author(s):  
Claudia Mazo ◽  
Stephen Barron ◽  
Catherine Mooney ◽  
William M. Gallagher
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Predictive Value ◽  
Pathological Complete Response ◽  
Complete Response ◽  
Oncotype Dx ◽  
Breast Cancer Patients ◽  
Er Positive

Determining which patients with early-stage breast cancer should receive chemotherapy is an important clinical issue. Chemotherapy has several adverse side effects, impacting on quality of life, along with significant economic consequences. There are a number of multi-gene prognostic signatures for breast cancer recurrence but there is less evidence that these prognostic signatures are predictive of therapy benefit. Biomarkers that can predict patient response to chemotherapy can help avoid ineffective over-treatment. The aim of this work was to assess if the OncoMasTR prognostic signature can predict pathological complete response (pCR) to neoadjuvant chemotherapy, and to compare its predictive value with other prognostic signatures: EndoPredict, Oncotype DX and Tumor Infiltrating Leukocytes. Gene expression datasets from ER-positive, HER2-negative breast cancer patients that had pre-treatment biopsies, received neoadjuvant chemotherapy and an assessment of pCR were obtained from the Gene Expression Omnibus repository. A total of 813 patients with 66 pCR events were included in the analysis. OncoMasTR, EndoPredict, Oncotype DX and Tumor Infiltrating Leukocytes numeric risk scores were approximated by applying the gene coefficients to the corresponding mean probe expression values. OncoMasTR, EndoPredict and Oncotype DX prognostic scores were moderately well correlated according to the Pearson’s correlation coefficient. Association with pCR was estimated using logistic regression. The odds ratio for a 1 standard deviation increase in risk score, adjusted for cohort, were similar in magnitude for all four signatures. Additionally, the four signatures were significant predictors of pCR. OncoMasTR added significant predictive value to Tumor Infiltrating Leukocytes signatures as determined by bivariable and trivariable analysis. In this in silico analysis, OncoMasTR, EndoPredict, Oncotype DX, and Tumor Infiltrating Leukocytes were significantly predictive of pCR to neoadjuvant chemotherapy in ER-positive and HER2-negative breast cancer patients.

A retrospective study in the Spanish population with Oncotype dx recurrence score (RS) in breast cancer patients with positive and negative-lymph nodes.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. e11531-e11531 ◽  
Author(s):  
Laura G Estevez ◽  
Isabel Calvo ◽  
Maria Fernandez Abad ◽  
Juan Jose Cruz ◽  
Sofia Perea ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Case Series ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Nuclear Staining ◽  
Breast Cancer Patients ◽  
Wide Range ◽  
Positive Lymph Nodes

e11531 Background: The international guidelines include the use of Oncotype DX as a predictor of chemotherapy (CT) benefit in hormonal sensitive breast cancer patients (pts) with node negative and node positive (1-3 positive nodes) disease.The aim of this study was to assess the distribution of the RS in breast cancer pts regardless lymph nodes status, and the association with treatment recommendations. Methods: Retrospectivedata from 131 pts with invasive breast cancer for which the OncotypeDX Assay had been ordered, and pathology data were available. Estrogen (ER) and progesterone (PR) receptor was assessed by IHC (cut-off 10% nuclear staining). Ki67 by IHC [high (≥14%) and low (< 14%)]. Positive-lymph nodes pts was classified as isolated tumoral cells (ITC), micrometastasis (MIC) and macrometasis (MAC). Results: Median age: 51 (range: 35-78); premenopausal status: 74 pts (56%). Median tumor size: 1.5 cm (0.3- 6); Median Ki 67 index: 15 (3-63); Median ER: 93 (35-100) and PR: 85(0-100). 42 pts (32%) had positive-lymph nodes: 6 ITC (14%), 14 MIC (33%) and 22 MAC (52%). RS was low in 82 (63%) cases, intermediate 39 (30%), and high 10 (7%). RS according to nodal status was: positive nodes, 31 pts (74%) low RS, 10 pts (24%) intermediate and 1 pts (2%) high; negative nodes: 50 pts (57%) low RS, 26 (29%) intermediate and 12 pts (14%) high RS. ER and Ki67 was similar between both lymph-nodes groups whereas a higher PR expression (median 90) was seen in positive-lymph nodes vs 76 in negative nodes. First recommendation in positive-lymph nodes: hormonotherapy (HT) 33%, CT 55% and 12% no defined (ND); after RS, HT 83% and CT 17% (p=0.021). Negative nodes first recommendation: HT 68%, CT 23% and ND 14%; after RS, HT 68% and CT 32%. Conclusions: Although based on a small case series, the results show that a substantial number (73%) pts with positive-lymph nodes have low RS, indicating minimal if any benefit from adjuvant CT. The proportion of patients with low scores is higher than in the validation studies and selection bias can’t be excluded. The wide range of RS in both negative and positive-lymph nodes breast cancer confirm the important role of Oncotype DX in treatment decision- making.

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