Routine Use of Oncotype DX Recurrence Score Testing in Node-Positive Hormone Receptor-Positive HER2-Negative Breast Cancer: The Time Has Come

The Added Prognostic Value of Oncotype Recurrence Score to AJCC Prognostic Staging System in Stage III ER+/HER2- Breast Cancer

INTRODUCTION

Prognostic prediction based on prognostic stage (PS) with the Oncotype DX recurrence score (RS) has not been validated in stage III ER+/HER2- breast cancer. This study aimed to evaluate the added prognostic significance of RS incorporated with the PS system and to compare the prognostic prediction improvement with anatomic TNM stage (AS) using nomogram construction.

METHODS

The SEER database was indexed to identify ER+/HER2- invasive ductal or lobular breast cancer in AS IIIA-IIIC with RS results diagnosed from 2004 to 2013. Patients with RS < 18, 18-30 and > 30 were categorized into low-, intermediate- and high-risk RS groups. Comparisons of the distribution of clinical-pathologic characteristics among RS risk groups were performed using Pearson's chi-square test. Breast cancer-specific survival (BCSS) was estimated using the Kaplan-Meier method and compared across RS or PS by log-rank test. Cox regression was used to evaluate the factors independently related to BCSS. A nomogram comprised of PS and RS was constructed with discrimination, calibration and clinical benefit evaluated.

RESULTS

Altogether 629 patients who received RS were enrolled. There were 326 cases (51.8%) with low-risk RS, 237 (37.7%) with intermediate-risk RS and 66 (10.5%) with high-risk RS; 344 patients (54.7%) had PS IB, 84 (13.4%) had IIB, 150 (23.8%) had IIIA, 46 (7.3%) had IIIB, and only 5 had (0.8%) IIIC. Both PS and RS were independent prognostic factors for BCSS. There were significant or trends of differences in survival among RS within subtypes stratified by PS. There were significant differences in survival among PS only within intermediate-risk RS. A nomogram prediction 5-year BCSS was constructed with a c-index of 0.811. Lower histologic grade, positive PR and fewer positive lymph nodes were independently correlated with low-risk RS.

CONCLUSION

PS incorporated with RS had improved prognostic significance for stage III ER+/HER 2- breast cancer.

The impact of Oncotype DX testing on adjuvant chemotherapy decision making in 1-3 node positive breast cancer

BACKGROUND

Oncotype DX testing has reduced the use of adjuvant chemotherapy in node-negative early breast cancer but less is known about its impact in node positive patients.

AIM

This study aimed to investigate the impact of Oncotype DX gene assay testing on the decision to offer adjuvant chemotherapy in oestrogen positive, human epidermal growth factor receptor 2 negative, 1-3 lymph node positive patients.

METHODS

Retrospective review of all node positive patients who underwent Oncotype DX testing at a single centre. Clinicopathological data, as well as estimated survival benefit data (from the PREDICT tool), was evaluated by a multidisciplinary group of surgeons and oncologists. Treatment decisions based on clinicopathological data were compared to recurrence scores (RS). A cut off RS > 30 was used to offer adjuvant chemotherapy.

RESULTS

The 69 patients were identified, of which 9 (13%) had an RS > 30 and assigned a high-genomic risk of recurrence. The 32 patients (46.4%) were offered adjuvant chemotherapy. Overall based on the use of the RS, the decision to offer adjuvant chemotherapy changed in 36% of patients, and ultimately 24 patients (34.7%) would have been spared chemotherapy.

CONCLUSION

Using clinicopathological data alone to make decisions regarding adjuvant chemotherapy in node positive breast cancer leads to overtreatment. Additional information on tumour biology as assessed by the Oncotype DX RS helps to select those patients who will benefit from adjuvant chemotherapy and spare patients from unnecessary chemotherapy.

Genomic Assays in Node Positive Breast Cancer Patients: A Review

In recent years, developments in breast cancer have allowed yet another realization of individualized medicine in the field of oncology. One of these advances is genomic assays, which are considered elements of standard clinical practice in the management of breast cancer. These assays are widely used today not only to measure recurrence risk in breast cancer patients at an early stage but also to tailor treatment as well and minimize avoidable treatment side effects. At present, genomic tests are applied extensively in node negative disease. In this article, we review the use of these tests in node positive disease, explore their ramifications on neoadjuvant chemotherapy decisions, highlight sufficiently powered recent studies emphasizing their use and review the most recent guidelines.

How Canadian Oncologists Use Oncotype DX for Treatment of Breast Cancer Patients

Background: The literature suggests that medical oncologists differ on how they use the Oncotype DX (ODX) genomic assay for making decisions about systemic therapy in breast cancer patients. Given the emergence of data supporting the use of genomic profiling for the prognosis and predicting benefit of chemotherapy, we surveyed medical oncologists in Canada to assess their usage and perception of the ODX assay. Methods: A 34-item survey was distributed to Canadian medical oncologists via the Canadian Association of Medical Oncologists. Data was collected on physician demographics, ODX usage patterns, and physicians’ perception of the impact clinical and pathologic characteristics make on ODX utilization. Results: Response rate was 20.6% with 47 responses received from 228 survey sent. Forty-five responses were eligible for analysis. Sixty-two percent (28/45) of respondents treated predominantly breast cancer, and 60% (27/45) have been in practice for at least 10 years. The most cited reason for using ODX was to avoid giving patients unnecessary chemotherapy (64%; 29/45). Sixty-seven percent (30/45) deferred making treatment decisions until ODX testing was completed. Factors most strongly impacting ODX utilization included: patient request, medical comorbidities and tumor grade. In clinical scenarios, ODX was more frequently selected for patients aged 40–65 (vs. <40 or >65), grade 2 tumors (vs. grade 1 or 3), and Ki-67 index of 10–20% (vs. <10% or >20%). Conclusions: This survey demonstrated that Canadian medical oncologists are preferentially using ODX to avoid giving patients unnecessary chemotherapy. The utilization of ODX is mainly in patients with intermediate clinical and pathologic features.

Comparison of breast cancer prognostic tests CanAssist Breast and Oncotype DX

BACKGROUND

CanAssist Breast (CAB) is a prognostic test for early stage hormone receptor-positive (HR+), human epidermal growth factor receptor 2 negative (HER2-) breast cancer patients, validated on Indian and Caucasian patients. The 21-gene signature Oncotype DX (ODX) is the most widely used commercially available breast cancer prognostic test. In the current study, risk stratification of CAB is compared with that done with ODX along with the respective outcomes of these patients.

METHODS

A cohort of 109 early stage breast cancer patients who had previously taken the ODX test were retested with CAB, and the results respectively compared with old cut-offs of ODX as well as cut-offs suggested by TAILORx, a prospective randomized trial of ODX. Distant metastasis-free survival after 5 years was taken as the end point.

RESULTS

CanAssist Breast stratified 83.5% of the cohort into low-risk and 16.5% into high-risk. With the TAILORx cut-offs, ODX stratified the cohort into 89.9% low-risk and 10.1% into high-risk. The low, intermediate, and high-risk groups with ODX old cut-offs were 62.4%, 31.2%, and 6.4%, respectively. The overall concordance of CAB with ODX using both cut-offs is 75%-76%, with ~82%-83% concordance in the low-risk category of these tests. The NPV of the low-risk category of CAB was 93.4%, and of ODX with TAILORx cut-offs was 91.8% and 89.7% with old cut-offs.

CONCLUSIONS

Compared to the concordance reported for other tests, CAB shows high concordance with ODX, and in addition shows comparable performance in the patient outcomes in this cohort. CAB is thus an excellent and cost-effective alternative to ODX.

The 21-gene recurrence score in node-positive, hormone receptor-positive, HER2-negative breast cancer: a cautionary tale from an NCDB analysis

PURPOSE

The 21-gene recurrence score assay (RS) has not been prospectively validated to predict adjuvant chemotherapy benefit in hormone receptor-positive (HR+), HER2-negative (HER2-), node-positive breast cancer patients. Nevertheless, de-escalation based on RS has been demonstrated and partially advocated by retrospective data. The purpose of this study was to identify subgroups of node-positive patients with low to intermediate RS who still benefit from adjuvant chemotherapy.

METHODS

The National Cancer Database was used to identify 28,591 women with stage I-III, T1-T3, N1, HR+, HER2- breast cancer and a RS ≤ 25 between 2010 and 2016. Univariate and multivariate analyses were used to identify variables correlating with chemotherapy use and 5-year survival. Subgroup analysis was performed to discern patients in whom the use of adjuvant chemotherapy correlated with better survival.

RESULTS

A 35% decline in chemotherapy use was observed from 2010 to 2016. Patients with younger age, higher RS, larger tumors and more positive lymph nodes, and those treated by mastectomy, axillary lymph node dissection and radiation, were more likely to receive chemotherapy. Chemotherapy use was associated with an improved 5-year survival (HR = 1.63, 95% CI 1.28-2.07). Upon subgroup analysis, this association was lost in patients > 70 years and those with a RS ≤ 11, while patients ≤ 70 with a RS of 12-25 treated with chemotherapy had an absolute 5-year survival advantage of 3.0% (HR = 1.91, 95% CI 1.42-2.57).

CONCLUSION

Clinicians should be cautious when considering omission of adjuvant chemotherapy in patients ≤ 70 years, with HR+, HER2-, N1 tumors and a RS 12-25, at least until the results of the anticipated RxPONDER trial become available.

Feature selection may improve deep neural networks for the bioinformatics problems

Motivation

Deep neural network (DNN) algorithms were utilized in predicting various biomedical phenotypes recently, and demonstrated very good prediction performances without selecting features. This study proposed a hypothesis that the DNN models may be further improved by feature selection algorithms.

Results

A comprehensive comparative study was carried out by evaluating 11 feature selection algorithms on three conventional DNN algorithms, i.e. convolution neural network (CNN), deep belief network (DBN) and recurrent neural network (RNN), and three recent DNNs, i.e. MobilenetV2, ShufflenetV2 and Squeezenet. Five binary classification methylomic datasets were chosen to calculate the prediction performances of CNN/DBN/RNN models using feature selected by the 11 feature selection algorithms. Seventeen binary classification transcriptome and two multi-class transcriptome datasets were also utilized to evaluate how the hypothesis may generalize to different data types. The experimental data supported our hypothesis that feature selection algorithms may improve DNN models, and the DBN models using features selected by SVM-RFE usually achieved the best prediction accuracies on the five methylomic datasets.

Availability and implementation

All the algorithms were implemented and tested under the programming environment Python version 3.6.6.

Supplementary information

Supplementary data are available at Bioinformatics online.

A Nomogram to Predict Factors Associated with Lymph Node Metastasis in Ductal Carcinoma In Situ with Microinvasion

INTRODUCTION

Ductal carcinoma in situ (DCIS) with foci of invasion measuring ≤ 1 mm (DCISM), represents < 1% of all invasive breast cancers. Sentinel lymph node biopsy (SLNB) has been a standard component of surgery for patients with invasive carcinoma or extensive DCIS. We hypothesize that selective performance of SLNB may be appropriate given the low incidence of sentinel node (SN) metastasis for DCISM. We investigated the clinicopathologic predictors for SN positivity in DCISM, to identify which patients might benefit from SLNB.

METHODS

A retrospective review of the National Cancer Database was performed for cases from 2012 to 2015. Clinical and tumor characteristics, including SN results, were evaluated, and Pearson's Chi square tests and logistic regression were performed.

RESULTS

Of 7803 patients with DCISM, 306 (4%) had at least one positive SN. Patients with positive SNs were younger, more often of Black race, had higher-grade histology and larger tumor size, and were more likely to have lymphovascular invasion (LVI; all p < 0.001). In an adjusted model, the presence of LVI was associated with the highest odds ratio (OR) for node positivity (OR 8.80, 95% confidence interval 4.56-16.96).

CONCLUSIONS

Among women with DCISM, only 4% had a positive SN. Node positivity was associated with more extensive and higher-grade DCIS, and the presence of LVI was strongly correlated with node positivity. Our data suggest that LVI is the most important factor in determining which patients with DCISM will benefit from SN biopsy.

Impact of the 21-gene recurrence score assay on chemotherapy decision making and outcomes for breast cancer patients with four or more positive lymph nodes

BACKGROUND

To assess the impact of the 21-gene recurrence score (RS) on chemotherapy decision making and survival outcomes for breast cancer patients with >4 positive lymph nodes.

METHODS

Patients with non-metastatic estrogen receptor-positive breast cancer with >4 positive lymph nodes diagnosed between 2004 and 2013 were identified using the Surveillance, Epidemiology, and End Results database. The relationships between the 21-gene RS value and survival outcomes, chemotherapy decision-making, and chemotherapy benefit were analyzed.

RESULTS

A total of 410 patients were identified, including 191 (46.6%), 164 (40.0%), and 55 (13.4%) in the low-, intermediate-, and high-risk RS groups, respectively. The 21-gene RS assay results were independently related to chemotherapy receipt. A total of 59.0%, 68.0%, and 78.0% of patients received chemotherapy in the low-, intermediate-, and high-risk RS groups, respectively. The 21-gene RS was an independent indicator of breast cancer specific survival (BCSS) and overall survival (OS). Intermediate-risk [BCSS: hazards ratio (HR), 2.832, 95% confidence interval (CI): 1.160-6.910, P=0.022; OS: HR, 3.704, 95% CI: 1.750-7.836, P=0.001] and high-risk RS (BCSS: HR, 6.440, 95% CI: 2.597-15.974, P<0.001; OS: HR, 5.053, 95% CI: 2.199-11.608, P<0.001) cohorts had significantly lower survival outcomes compared to low-risk RS cohort. The 5-year BCSS were 92.7%, 88.3%, and 70.7% in patients in the low-, intermediate-, and high-risk RS cohorts, respectively (P<0.001), and the 5-year OS were 92.1%, 80.6%, and 66.6%, respectively (P<0.001).

CONCLUSIONS

The 21-gene RS is an independent predictor of chemotherapy receipt and survival outcomes for breast cancer patients with > 4 positive lymph nodes.