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Limitations in predicting PAM50 intrinsic subtype and risk of relapse score with Ki67 in estrogen receptor-positive HER2-negative breast cancer.
- Source :
-
Oncotarget [Oncotarget] 2017 Mar 28; Vol. 8 (13), pp. 21930-21937. - Publication Year :
- 2017
-
Abstract
- PAM50/Prosigna gene expression-based assay identifies three categorical risk of relapse groups (ROR-low, ROR-intermediate and ROR-high) in post-menopausal patients with estrogen receptor estrogen receptor-positive (ER+)/ HER2-negative (HER2-) early breast cancer. Low risk patients might not need adjuvant chemotherapy since their risk of distant relapse at 10-years is below 10% with endocrine therapy only. In this study, 517 consecutive patients with ER+/HER2- and node-negative disease were evaluated for Ki67 and Prosigna. Most of Luminal A tumors (65.6%) and ROR-low tumors (70.9%) had low Ki67 values (0-10%); however, the percentage of patients with ROR-medium or ROR-high disease within the Ki67 0-10% group was 42.7% (with tumor sizes ≤2 cm) and 33.9% (with tumor sizes > 2 cm). Finally, we found that the optimal Ki67 cutoff for identifying Luminal A or ROR-low tumors was 14%. Ki67 as a surrogate biomarker in identifying Prosigna low-risk outcome patients or Luminal A disease in the clinical setting is unreliable. In the absence of a well-validated prognostic gene expression-based assay, the optimal Ki67 cutoff for identifying low-risk outcome patients or Luminal A disease remains at 14%.
- Subjects :
- Antineoplastic Agents, Hormonal therapeutic use
Breast Neoplasms genetics
Chemotherapy, Adjuvant
Female
Follow-Up Studies
Gene Expression Profiling
Humans
Incidence
Neoplasm Recurrence, Local epidemiology
Neoplasm Recurrence, Local genetics
Prognosis
Prospective Studies
Biomarkers, Tumor genetics
Breast Neoplasms drug therapy
Neoplasm Recurrence, Local diagnosis
Receptor, ErbB-2 genetics
Receptors, Estrogen genetics
Risk Assessment methods
Tamoxifen therapeutic use
Subjects
Details
- Language :
- English
- ISSN :
- 1949-2553
- Volume :
- 8
- Issue :
- 13
- Database :
- MEDLINE
- Journal :
- Oncotarget
- Publication Type :
- Academic Journal
- Accession number :
- 28423537
- Full Text :
- https://doi.org/10.18632/oncotarget.15748