scholarly journals Use of Oncotype DX Recurrence Score® (RS) reduces chemotherapy (CT) beyond treatment decisions using Ki67-based determinations of luminal A and B breast cancer subtypes: a retrospective study in the Spanish population

2016 ◽  
Vol 27 ◽  
pp. vi53
Author(s):  
L. Garcia-Estevez ◽  
E. Hernandez ◽  
D. Acosta ◽  
F. Lopez-Rios ◽  
M. Prieto Pozuelo ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Retrospective Study ◽  
Recurrence Score ◽  
Treatment Decisions ◽  
Oncotype Dx ◽  
Breast Cancer Subtypes ◽  
Spanish Population ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Oncotype Dx Recurrence Score

Can Oncotype DX Recurrence Score (RS) be used in Luminal A and Luminal B breast cancer patients (pts) to predict the likely benefit of chemotherapy? A retrospective unicentric study in Spanish population.

2013 ◽  
Vol 31 (26_suppl) ◽  
pp. 40-40 ◽  
Author(s):  
Laura G. Estevez ◽  
Isabel Calvo ◽  
Maria Fernandez-Abad ◽  
Juan Jose Cruz ◽  
Ana Suarez ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Adjuvant Chemotherapy ◽  
Recurrence Score ◽  
Oncotype Dx ◽  
Breast Cancer Subtypes ◽  
Treatment Recommendation ◽  
Luminal A ◽  
Ki 67 ◽  
Cancer Subtypes ◽  
Luminal B

40 Background: The 2011 St Gallen guidelines recommend the use of Ki67 as a surrogate marker for luminal A and Luminal B breast cancer subtypes. Pts with luminal B subtypes should be treated with adjuvant chemotherapy. The guidelines also recognize the Oncotype DX RS as a predictor of chemotherapy benefit. The aim of this study is to assess the distribution of the RS in luminal A and luminal B breast cancer subtypes as defined by Ki67. Methods: Data from 131 pts with invasive breast cancer for which Oncotype DX results and pathology data were available. Pathological assessment was evaluated by the same pathologist. Estrogen (ER) and progesterone (PR) receptor was assessed by immunostaining (cut-off 10% nuclear staining). Ki67 was assessed by IHC [high (≥14%) and low (< 14%)]. Histological grade was performed by using Nottingham grading system. Results: Median age: 50 (range: 35-78); premenopausal status: 53 pts (44.2%). Median tumor size: 1, 5 cm (0, 3-5); Median of Ki 67 index: 15 (range: 3-63); 79 pts (66.4%) had negative-lymph nodes. Seventy (58.3%) tumors were classified as Luminal B (Ki 67 ≥14%) and 50 (41.7%) as Luminal A. Grade III were more common in Luminal B 14 (20.3%) than in Luminal A 1 pts (2%) patients (p=0.003). Chemotherapy was the first recommendation in 29 pts (41.4%) with Luminal B vs. 7 pts (14%) with Luminal A; hormonotherapy was the first recommendation in 32 pts (45.7%) with Luminal B and 37 pts (74%) in Luminal A (p =0.003). In the Luminal B group, Recurrence Score results was low in 42 (60%) pts, intermediate in 19 (27.1%) and high in 9 (12.9%) while in the Luminal A group 31 (62%) had low; 16 (32%) intermediate and 3 (6%) high Recurrence Score results (p=0.433). RS changed the first treatment recommendation in 35 (50%) cases of Luminal B subtype vs. 14 (28%) cases in Luminal A subtype (p=0.016). Conclusions: The results show that a substantial number (60%) pts with Luminal B breast cancer subtype had a low RS, therefore preserving them from adjuvant chemotherapy treatment. The wide range of RS in both Luminal B and Luminal A breast cancer subtypes confirm the important role of Oncotype DX in treatment decision making.

Can Oncotype DX recurrence score (RS) be used in luminal A and luminal B breast cancer patients (pts) to predict the likely benefit of chemotherapy? A retrospective study in the Spanish population.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e11006-e11006 ◽  
Author(s):  
Laura García-Estevez ◽  
Ana C Contreras ◽  
Isabel Calvo ◽  
Maria Fernandez Abad ◽  
Juan J de la Cruz ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Adjuvant Chemotherapy ◽  
Oncotype Dx ◽  
Breast Cancer Subtypes ◽  
Treatment Recommendation ◽  
Nuclear Staining ◽  
Luminal A ◽  
Ki 67 ◽  
Cancer Subtypes ◽  
Luminal B

e11006 Background: The 2011 St Gallen guidelines recommend the use of Ki67 as a surrogate marker for luminal A and Luminal B breast cancer subtypes. Pts with luminal B subtypes should be considered for adjuvant chemotherapy. The guidelines also recognize the Oncotype DX RS as a predictor of chemotherapy benefit. The aim of this study is to assess the distribution of the RS in luminal A and luminal B breast cancer subtypes as defined by Ki67. Methods: Data from 91 pts with invasive breast cancer for which Oncotype DX results and pathology data were available. Pathological assessment was evaluated by the same pathologist. Estrogen (ER) and progesterone (PR) receptor was assessed by immunostaining (cut-off 10% nuclear staining). Ki67 was assessed by IHC [high (≥14%) and low (< 14%)]. Grading was performed by using Nottingham grading system. Results: Median age: 50 years (range: 35-78); premenopausal status: 49 pts (53.8%). Median tumor size: 1.5 cm (0, 3-6); Median of Ki 67 index: 15. 5 (range: 3-63); Median ER: 93 (35-100) and PR: 85(0-100). Sixty nine pts (75.8%) had negative-lymph nodes. RS was low in 56 (61. 5%) cases, intermediate in 24 (26. 4%), and high in 11 (12. 1%). The median RS was 16 (range 3-55). Forty six (51%) tumors were classified as luminal B (according to high Ki 67) and 38 (41.7%) as Luminal A. In the Luminal B group RS was low in 28 (61%) pts, intermediate in 10 (22%) and high in 8 (17%) while in the Luminal A group 23 (61%) had low RS; 13 (34%) intermediate and 2 (5%) high RS. RS changed the first treatment recommendation in 23 (50%) cases of Luminal B subtype vs. 10 (26%) cases in Luminal A subtype (p=0.013). Conclusions: Although based in a small case series, the results show that a substantial number (61%) pts with Luminal B breast cancer subtype had a low RS, therefore preserving them from adjuvant chemotherapy treatment. In addition, 5% of patients with Luminal A breast cancer had a high RS and thereby likely to benefit from chemotherapy. The wide range of RS in both Luminal B and Luminal A breast cancer subtypes confirm the important role of Oncotype DX in treatment decision- making.

A retrospective study of breast cancer subtypes: the risk of relapse and the relations with treatments

2011 ◽  
Vol 130 (2) ◽  
pp. 489-498 ◽  
Author(s):  
Yahong Wang ◽  
Quangui Yin ◽  
Qi Yu ◽  
Jing Zhang ◽  
Ziyu Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Retrospective Study ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes ◽  
Risk Of Relapse

Comprehensive immunohistochemical analysis of RET, BCAR1, and BCAR3 expression in patients with Luminal A and B breast cancer subtypes

2022 ◽  
Author(s):  
Ana Carolina Pavanelli ◽  
Flavia Rotea Mangone ◽  
Piriya Yoganathan ◽  
Simone Aparecida Bessa ◽  
Suely Nonogaki ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Immunohistochemical Analysis ◽  
Breast Cancer Subtypes ◽  
Luminal A ◽  
Cancer Subtypes

scholarly journals Identification of key genes unique to the luminal A and basal-like breast cancer subtypes via bioinformatic analysis

2020 ◽  
Author(s):  
Rong Jia ◽  
Zhongxian Li ◽  
Wei Liang ◽  
Yucheng Ji ◽  
Yujie Weng ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Differentially Expressed Genes ◽  
Survival Data ◽  
Breast Cancer Subtypes ◽  
Differentially Expressed ◽  
Expression Data ◽  
Luminal A ◽  
Cancer Subtypes ◽  
Protein Protein Interaction ◽  
Basal Like Breast Cancer

Abstract Background Breast cancer subtypes are statistically associated with prognosis. The search for markers of breast tumor heterogeneity and the development of precision medicine for patients are the current focuses of the field. Methods We used a bioinformatic approach to identify key disease-causing genes unique to the luminal A and basal-like subtypes of breast cancer. First, we retrieved gene expression data for luminal A breast cancer, basal-like breast cancer, and normal breast tissue samples from The Cancer Genome Atlas database. The differentially expressed genes unique to the 2 breast cancer subtypes were identified and subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. We constructed protein–protein interaction networks of the differentially expressed genes. Finally, we analyzed the key modules of the networks, which we combined with survival data to identify the unique cancer genes associated with each breast cancer subtype. Results We identified 1,114 differentially expressed genes in luminal A breast cancer and 1,042 differentially expressed genes in basal-like breast cancer, of which the subtypes shared 500. We observed 614 and 542 differentially expressed genes unique to luminal A and basal-like breast cancer, respectively. Through enrichment analyses, protein–protein interaction network analysis, and module mining, we identified 8 key differentially expressed genes unique to each subtype. Analysis of the gene expression data in the context of the survival data revealed that high expression of NMUR1 and NCAM1 in luminal A breast cancer statistically correlated with poor prognosis, whereas the low expression levels of CDC7 , KIF18A , STIL , and CKS2 in basal-like breast cancer statistically correlated with poor prognosis. Conclusions NMUR1 and NCAM1 are novel key disease-causing genes for luminal A breast cancer, and STIL is a novel key disease-causing gene for basal-like breast cancer. These genes are potential targets for clinical treatment.

Sign in / Sign up

Export Citation Format

Share Document