Comparison of efficacy of 95-gene and 21-gene classifier (Oncotype DX) for prediction of recurrence in ER-positive and node-negative breast cancer patients
Abstract:We recently developed a 95-gene classifier (95(GC)) for the prognostic prediction for ER-positive and node-negative breast cancer patients treated with only adjuvant hormonal therapy. The aim of this study was to validate the efficacy of 95(GC) and compare it with that of 21(GC) (Oncotype DX) as well as to evaluate the combination of 95(GC) and 21(GC). DNA microarray data (gene expression) of ER-positive and node-negative breast cancer patients (n = 459) treated with adjuvant hormone therapy alone as well as t… Show more
“…The 95GC helps classify patients with ER + /HER2-/N0 breast cancer types into high-and low-risk groups. In addition, intermediate risk breast cancer types [recurrence score (RS), 18-30] classified using 21GC ( 21GC RS were calculated using Recurrence Online) can be further dichotomized using a 95GC into low-and high-risk groups (5). This dichotomization is expected to lead to a significant difference in disease prognosis, suggesting the use of 95GC in predicting the prognosis of intermediate-risk breast cancers.…”
We previously developed a 95-gene classifier (95GC) to classify ER-positive/HER2-negative/node-negative (ER + /HER2-/N0) breast cancer as high-and low-risk. The present study aimed to devise a 95GC recurrence score (95GC RS) to estimate recurrence risk more precisely and, although the 95GC was originally developed using fresh-frozen (FF) tissues, this was applied to formalin-fixed paraffin-embedded (FFPE) tissues. 95GC RS was calculated using between-group analysis and denominated as a value from 0 to 100. Correlation of 95GC RS with distant recurrence rate and response to neoadjuvant chemotherapy (NAC) was evaluated in 257 patients with ER + /HER2 − /N0 breast cancer treated with adjuvant hormonal therapy at Osaka University Hospital and in 425 patients with ER + breast cancer treated with NAC at Osaka University Hospital and the University of Texas MD Anderson Cancer Center (GSE25066 dataset). Correlation of 95GC RS between FF and FFPE tissues was evaluated in paired tissues from 56 ER + /HER2-/N0 breast cancer types obtained from patients without NAC treatment. Distant recurrence rates were remarkably low in patients with 95GC RS ≤50 and increased proportionally in patients with 95GC RS >50. Pathological complete response (pCR) rates to NAC were increased in proportion to 95GC RS, indicating a greater sensitivity of breast cancers with high 95GC RS to chemotherapy. 95GC RS was highly correlated (R=0.92) between FF and FFPE tissues, and the concordance rate (94.6%) of high-and low-risk groups was also considerably high. Overall, the present study developed a 95GC RS that correlated with distant recurrence rate and pCR rate to NAC. The 95GC was applicable to FFPE tissues with a high concordance rate in FF tissues.
“…The 95GC helps classify patients with ER + /HER2-/N0 breast cancer types into high-and low-risk groups. In addition, intermediate risk breast cancer types [recurrence score (RS), 18-30] classified using 21GC ( 21GC RS were calculated using Recurrence Online) can be further dichotomized using a 95GC into low-and high-risk groups (5). This dichotomization is expected to lead to a significant difference in disease prognosis, suggesting the use of 95GC in predicting the prognosis of intermediate-risk breast cancers.…”
We previously developed a 95-gene classifier (95GC) to classify ER-positive/HER2-negative/node-negative (ER + /HER2-/N0) breast cancer as high-and low-risk. The present study aimed to devise a 95GC recurrence score (95GC RS) to estimate recurrence risk more precisely and, although the 95GC was originally developed using fresh-frozen (FF) tissues, this was applied to formalin-fixed paraffin-embedded (FFPE) tissues. 95GC RS was calculated using between-group analysis and denominated as a value from 0 to 100. Correlation of 95GC RS with distant recurrence rate and response to neoadjuvant chemotherapy (NAC) was evaluated in 257 patients with ER + /HER2 − /N0 breast cancer treated with adjuvant hormonal therapy at Osaka University Hospital and in 425 patients with ER + breast cancer treated with NAC at Osaka University Hospital and the University of Texas MD Anderson Cancer Center (GSE25066 dataset). Correlation of 95GC RS between FF and FFPE tissues was evaluated in paired tissues from 56 ER + /HER2-/N0 breast cancer types obtained from patients without NAC treatment. Distant recurrence rates were remarkably low in patients with 95GC RS ≤50 and increased proportionally in patients with 95GC RS >50. Pathological complete response (pCR) rates to NAC were increased in proportion to 95GC RS, indicating a greater sensitivity of breast cancers with high 95GC RS to chemotherapy. 95GC RS was highly correlated (R=0.92) between FF and FFPE tissues, and the concordance rate (94.6%) of high-and low-risk groups was also considerably high. Overall, the present study developed a 95GC RS that correlated with distant recurrence rate and pCR rate to NAC. The 95GC was applicable to FFPE tissues with a high concordance rate in FF tissues.
“…Recent advances in multiple gene expression assays have enabled the classification of ER‐positive breast cancer into favorable and unfavorable prognoses. Representative examples of gene expression assays are Oncotype DX, MammaPrint, and Curebest 95GC, which were developed to detect patient subpopulations that do not require adjuvant chemotherapy. Moreover, Prediction Analysis of Microarray 50 (PAM50) which classifies breast cancer into five intrinsic subtypes (luminal A, luminal B, receptor tyrosine protein kinase ERBB2 [HER2]‐enriched, claudin‐low, and basal‐like) based on their biological and histological characteristics, is widely used, as each identifiable subtype has a distinct prognosis and distinct therapeutic strategy, and clinical markers, including ER, PR, HER2, and Ki‐67 can be used as surrogate markers to classify breast cancer types .…”
Although prognostic markers for early estrogen receptor (ER)‐positive breast cancer have been extensively developed, predictive markers for adjuvant endocrine therapy are still lacking. Focusing on the mechanisms underlying endocrine resistance, we investigated whether the endocrine sensitivity of ER‐positive breast cancer cells was correlated with the expression of aspartate‐β‐hydroxylase (ASPH), which is involved in the development of hepatocellular carcinoma. ASPH expression in ER‐positive and tamoxifen‐resistant breast cancer cells was upregulated by the MAPK and phosphoinositide‐3 kinase (PI3K) pathways, which both play pivotal roles in endocrine resistance. In the clinical setting, ASPH expression was negatively correlated with recurrence‐free survival of luminal B breast cancer patients that received adjuvant endocrine therapy, but not in patients that did not receive adjuvant endocrine therapy. Luminal B breast cancer is one of the intrinsic molecular subtypes identified by the Prediction Analysis of Microarray 50 (PAM50) multiple gene classifier, and because of its poor response to endocrine therapy, chemotherapy in addition to endocrine therapy is generally required after surgical resection. Our results suggest that the endocrine sensitivity of luminal B breast cancer can be assessed by examining ASPH expression, which promotes the consideration of a prospective study on the association between ASPH expression at the mRNA and protein levels in luminal B breast cancer and subsequent response to endocrine therapy.
“…Several retrospective studies using archived samples from prospective studies found a difference of DFS between the 3 RS groups in a large population of ER+ patients (n=3382), pN031,34–36 or pN+ 37–39. Other retrospective studies found similar results in a mostly ER+ population40–45 ( Table S2 , in supplementary data). Most studies showed a significant association between Oncotype DX ® and breast cancer outcome: in ER+ pN0 patients without systemic treatment,46 in ER+ pN0 patients treated with ET alone,31,36,40,42,44–47 and in patients treated with chemotherapy and ET 34,41,43,46,48.…”
The decision to administer adjuvant chemotherapy in treatment of early invasive breast cancer (EBC) is often complex, particularly for hormone receptor-positive (HR+) diseases, and current guidelines often classify these patients in an intermediate-risk group. Several biomarkers are currently available in this indication, in order to obtain additional and more accurate prognostic information compared to classic clinicopathological characteristics and guide the indication of adjuvant chemotherapy, optimizing the efficacy/toxicity ratio. We conducted a systematic review to evaluate the clinical validity and clinical utility of five biomarkers (uPA/PAI-1, OncotypeDX®, MammaPrint®, PAM50, and EndoPredict®) in HR+/HER2- EBC, whatever the nodal status. A total of 89 studies met the inclusion criteria. Even though data currently available confirm the clinical validity of these biomarkers, there is a lack of data regarding clinical utility for most of them. Prospective studies in well-defined populations are needed to integrate these biomarkers in a decision strategy.
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