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

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.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e12046-e12046 ◽  
Author(s):  
Yao Yuan ◽  
Alison Len Van Dyke ◽  
Allison W. Kurian ◽  
Serban Negoita ◽  
Valentina I. Petkov

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.


2014 ◽  
Vol 32 (26_suppl) ◽  
pp. 106-106 ◽  
Author(s):  
Emily Baxter ◽  
Stephen K. L. Chia ◽  
Caroline A. Lohrisch ◽  
Malcolm Hayes ◽  
Lovedeep Gondara ◽  
...  

106 Background: Nottingham grading (NG) for breast cancer uses tubule formation (TF), nuclear polymorphism (NP), and mitotic count (MC). The Oncotype Dx recurrence score (RS) is a 21-gene assay that predicts recurrence. Both NG and RS can influence decisions about the use of adjuvant chemotherapy in patients with ER+, HER2-, T1-T2, N0 cancers. The objective was to determine the correlation of overall NG, TF, NP, MC with RS risk group in such patients. This may be useful in guiding the use of Oncotype in specific cases. Methods: 231 patients referred to the BC Cancer Agency between 2007-2011 with ER+, HER2-, T1-T2, N0 breast cancer and an Oncotype were identified. Histologic grading was assessed on the specimen used for Oncotype. Spearman’s correlation coefficients, and 95% confidence intervals (CI) were calculated for the RS risk group versus overall NG, TF, NP, and MC. This study adds to the literature as it is one of the largest cohorts examining this topic and focuses on a HER2- patient population. Results: There was a significant positive moderate correlation between RS and overall grade (Spearman coefficient 0.47, [95%CI: 0.36, 0.56])(Table 1), and RS and MC (Spearman 0.44, [95%CI: 0.33, 0.54]). There was a significant positive weak correlation between RS and TF (Spearman 0.25, [95%CI: 0.13, 0.37]) and RS and NP (Spearman 0.34, [95%CI: 0.22, 0.45]). None of the patients with low overall NG had a high risk RS. Conclusions: Patients with a low NG are unlikely to have a high risk RS (0 in 231 patients) and very few such patients would benefit from the expense of an Oncotype. Overall NG has a better correlation with RS than TF, MC, or NP components alone. [Table: see text]


Cancers ◽  
2020 ◽  
Vol 12 (10) ◽  
pp. 2772
Author(s):  
Michael A. Jacobs ◽  
Christopher B. Umbricht ◽  
Vishwa S. Parekh ◽  
Riham H. El Khouli ◽  
Leslie Cope ◽  
...  

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.


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e12561-e12561
Author(s):  
Parvaneh Fallah ◽  
Nasser Khleel Mulla ◽  
Raquel Aloyz ◽  
Olga Aleynikova ◽  
Anca Florea ◽  
...  

e12561 Background: Ki-67 is a marker of proliferating cells. The recurrence score based on the 21-gene breast cancer assay also called Oncotype Dx provides prognostic and predictive information for recurrence in early stage breast cancer patients. We previously showed that there is a moderate correlation between Ki67 and oncotype Dx recurrence score. In this retrospective study, we aimed to examine whether high Ki67 could predict the distant recurrence in early stage breast cancer with low oncotype Dx scores ( < 25). Methods: This retrospective study included 278 consecutive cases of hormone receptor-positive, HER2 negative (T1-2 N0 M0) breast cancer who were diagnosed between 2008 and 2015 with low oncotype Dx ( < 25). Patients’ clinical outcome in terms of distant recurrence after breast surgery was determined up to December 2020 (median follow-up of 7 years). Patients were divided in to low risk (Ki67 < 15%) and high risk (Ki67 > = 15%) groups. Results: Of 278 cases with average and median age of 59 and 60 respectively, 148 (53%) were in Ki67 low risk and 130 (47%) were in Ki67 high risk group. Average and median oncotype Dx were 13.86 and 15 respectively in Ki67 low risk versus 15.23 and 16 respectively in Ki67 high risk group. 13 patients (4%) experienced distant metastasis in lung, liver, bone and skin. Of these 13 cases with average and median oncotype Dx 15.84 and 19 respectively, 12 (92%) were in the Ki67 high risk group and only 1 (8%) belonged to the low risk category. High Ki67 patients were overrepresented in group with recurrent distant metastasis compare to group without recurrent disease (Pearson Chi-Square = 51.18 with 1 degree of freedom and P = < 0.001). Conclusions: Ki67 high patients in the low risk oncotype Dx group are relapsing at a significantly higher rate suggesting that Ki67 combined with low oncotype Dx further refines the risk of distant relapse.


2015 ◽  
Vol 2 (1) ◽  
pp. 37-42
Author(s):  
Vanda Farahmand Torous ◽  
Sophia K Apple

The 21-gene Recurrence Score (RS) assay (Oncotype DX®) predicts the risk of recurrence and benefit from chemotherapy in estrogen receptor (ER) positive, Her-2/neunegative, node negative and, more recently, limited node-positive (≤3) breast cancer. The 21-gene RS is divided into low, intermediate and high risk groups corresponding to a likelihood of recurrence within 10 years of initial diagnosis. Clinicians utilize 21-gene RS to guide treatment, particularly whether to add adjuvant chemotherapy to endocrine therapy. This study aimed to determine if 21-gene RS accurately predicts the rate of recurrence with respect to each category. A cohort of 236 patients was studied retrospectively and analyzed, based on correlation between histologic and immunohistochemical (IHC) findingsversus21-gene RS stratification in relation to clinical outcomes.In the cohort examined, no deaths occurred in all the patients studied. Six patients had recurrence or metastatic disease. Of these six patients, only one had been stratified to the high risk group by 21-gene RS analysis, while four were stratified to the low risk group, and one to the intermediate risk group. 21-gene RS accurately predicted 97% of the low RS stratified patients to avoid receiving chemotherapy. However, addition of chemotherapy in the treatment regimen for node positive, Her-2/neupositive, high Ki-67, and PR negative tumors may be beneficial regardless of 21-gene RS. Our investigation found that there is a high concordance rate between 21-gene RS and IHC of ER, progesterone receptor (PR), and Her-2/neu.


Oncology ◽  
2021 ◽  
pp. 1-4
Author(s):  
Natalie F. Berger ◽  
Brittney S. Zimmerman ◽  
Serena Tharakan ◽  
Kelly Suchman ◽  
Krystal P. Cascetta ◽  
...  

<b><i>Background:</i></b> The Oncotype DX Recurrence Score (ODx RS) is the most widely adopted genomic assay used to guide treatment for patients with early-stage, hormone-positive (HR+) breast cancer (BC), with higher scores predicting greater risk of recurrence and benefit from chemotherapy. Patients with ODx RS &#x3e;25 typically recieve adjuvant chemotherapy; however, data regarding efficacy of chemotherapy for reducing recurrence in this population have been mixed. <b><i>Objectives:</i></b> This study aimed to evaluate outcomes of patients with early-stage HR+ BC with high-risk ODx RS (26–30 and ≥31) in order to assess treatment patterns and outcomes. We hypothesized that the benefit of chemotherapy in these groups may be minimal and that select patients may forgo chemotherapy in favor of more aggressive endocrine therapy and ovarian suppression. <b><i>Methods:</i></b> We performed a retrospective analysis of 515 patients with early-stage, HR+ BC with high-risk ODx RS 26–30 and ≥31 treated between 2006 and 2018. Patients were stratified by RS: low-risk (≤10), intermediate-risk (11–25), and high-risk (≥26). The Kaplan-Meier method was used to estimate the time to secondary invasive breast events (SIBE) or distributions overall and among different RS groups with the log rank test used to compare distributions between groups. <b><i>Results:</i></b> Rates of chemotherapy administration were 7% among the low-risk group, 18% among the intermediate-risk group, and 83% among high-risk patients with 41 SIBE (8%) reported. When stratified by ODx RS, 5-year rates of SIBE were 4%, 6%, and 16% for low-risk, intermediate-risk, and high-risk RS, respectively. Among the 27 lymph node (LN)-negative patients with ODx RS 26–30, 74% received chemotherapy. The 5-year rate of SIBE was 25% among patients who received chemotherapy and 33% among those who did not (<i>p</i> = 0.5489). Among the 23 LN-negative patients with ODx RS ≥31, 91% of patients received chemotherapy. The 5-year rate of SIBE was 0% both with and without chemotherapy. <b><i>Conclusions:</i></b> There was no statistically significant difference in SIBE for patients with high-risk ODx RS based on chemotherapy treatment. More aggressive endocrine therapy with ovarian suppression has become an alternative to chemotherapy among patients with intermediate-risk ODx RS (16–25). This approach may be useful among patients with high-risk ODx RS, with additional studies needed in this patient population.


2021 ◽  
Vol 12 ◽  
Author(s):  
Mengdi Chen ◽  
Deyue Liu ◽  
Weilin Chen ◽  
Weiguo Chen ◽  
Kunwei Shen ◽  
...  

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.


2021 ◽  
Author(s):  
juanjuan Qiu ◽  
Li Xu ◽  
Yu Wang ◽  
Jia Zhang ◽  
Jiqiao Yang ◽  
...  

Abstract Background Although the results of gene testing can guide early breast cancer patients with HR+, HER2- to decide whether they need chemotherapy, there are still many patients worldwide whose problems cannot be solved well by genetic testing. Methods 144 735 patients with HR+, HER2-, pT1-3N0-1 breast cancer from the Surveillance, Epidemiology, and End Results database were included from 2010 to 2015. They were divided into chemotherapy (n = 38 392) and no chemotherapy (n = 106 343) group, and after propensity score matching, 23 297 pairs of patients were left. Overall survival (OS) and breast cancer-specific survival (BCSS) were tested by Kaplan–Meier plot and log-rank test and Cox proportional hazards regression model was used to identify independent prognostic factors. A nomogram was constructed and validated by C-index and calibrate curves. Patients were divided into high- or low-risk group according to their nomogram score using X-tile. Results Patients receiving chemotherapy had better OS before and after matching (p < 0.05) but BCSS was not significantly different between patients with and without chemotherapy after matching: hazard ratio (HR) 1.005 (95%CI 0.897, 1.126). Independent prognostic factors were included to construct the nomogram to predict BCSS of patients without chemotherapy. Patients in the high-risk group (score > 238) can get better OS HR 0.583 (0.507, 0.671) and BCSS HR 0.791 (0.663, 0.944) from chemotherapy but the low-risk group (score ≤ 238) cannot. Conclusion The well-validated nomogram and a risk stratification model was built. Patients in the high-risk group should receive chemotherapy while patients in low-risk group may be exempt from chemotherapy.


2020 ◽  
Vol 06 (02) ◽  
pp. e135-e138
Author(s):  
T. M. Aherne ◽  
M. R. Boland ◽  
D. Catargiu ◽  
K. Bashar ◽  
T. P. McVeigh ◽  
...  

Abstract Introduction Routine utilization of multigene assays to inform operative decision-making in early breast cancer (EBC) treatment is yet to be established. In this pilot study, we sought to establish the potential benefits of surgical intervention in EBC based on recurrence risk quantification using the Oncotype DX (ODX) assay. Materials and Methods Consecutive ODX tests performed over a 9-year period from October 2007 to May 2016 were evaluated. Oncotype scores were classified into high (≥31), medium (18–30), or low-risk (0–17) groups. The primary outcome was breast cancer recurrence. Subgroup analysis offered assessment of the recurrence effect of mode of surgical intervention for patient groups as defined by the oncotype score. Results In total 361 patients underwent ODX testing. The mean age and follow-up were 55.25 (± 10.58) years and 38.59 (± 29.1) months, respectively. The majority of patients underwent wide local excision (86.7%) with 8.9 and 4.4% patients having a mastectomy or wide local excision with completion mastectomy, respectively. Fifty-one percent of patients fell into the low risk ODX category with a further 40.2 and 8.5% deemed to be of intermediate and high risk. Five patients (1.38%) had disease recurrence. Comparative analysis of operative groups in each oncotype group revealed no difference in recurrence scores in the low- (p = 0.84) and high-risk groups (p = 0.92) with a statistically significant difference identified in the intermediate risk group (p = 0.002). Conclusion To date we have been unable to definitively identify a role for ODX in guiding surgical approach in EBC. There is, however, a need for larger studies to examine this hypothesis.


1998 ◽  
Vol 16 (11) ◽  
pp. 3486-3492 ◽  
Author(s):  
E G Mansour ◽  
R Gray ◽  
A H Shatila ◽  
D C Tormey ◽  
M R Cooper ◽  
...  

PURPOSE Preliminary analysis showed that adjuvant chemotherapy is effective in improving disease-free survival (DFS) among high-risk breast cancer patients. This report updates the analysis of the high-risk group and reports the results of the low-risk group. METHODS Patients who had undergone a modified radical mastectomy or a total mastectomy with low-axillary sampling, with negative axillary nodes and either an estrogen receptor-negative (ER-) tumor of any size or an estrogen receptor-positive (ER+) tumor that measured > or = 3 cm (high-risk) were randomized to receive six cycles of cyclophosphamide, methotrexate, fluorouracil, and prednisone (CMFP) or no further treatment. Patients with ER+ tumors less than 3 cm (low-risk) were monitored without therapy. RESULTS DFS and overall survival (OS) at 10 years were 73% and 81%, respectively, among patients who received chemotherapy, as compared with 58% and 71% in the observation group (P=.0006 for DFS and P=.02 for OS). Chemotherapy was beneficial for patients with large tumors, both ER+ and ER-, showing a 10-year DFS of 70% versus 51 % (P=.0009) and OS of 75% versus 65% (P=.06). Ten-year survival was 77% among low-risk patients, 85% among premenopausal patients, and 73% in the postmenopausal group. CONCLUSION The observed 37% reduction in risk of recurrence and 34% reduction in mortality risk at 10 years, associated with a 15.4% absolute benefit in disease-free state and 10.1% in survival, reaffirm the role of adjuvant chemohormonal therapy in the management of high-risk node-negative breast cancer. Tumor size remains a significant prognostic factor associated with recurrence and survival in the low-risk group.


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