Relationship of pathological features and a 21 gene expression assay in younger versus older women with node-negative endocrine receptor-positive breast cancer
| Autor: | Lisa Flaum, Sarika Jain, Sedona Speedy, Martin Mutonga, Dachao Liu, Cesar A. Santa-Maria, Regina Uthe, William J. Gradishar, Alfred Rademaker |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Oncology Adult Cancer Research medicine.medical_specialty medicine.medical_treatment Estrogen receptor Gene Expression Breast Neoplasms Disease 03 medical and health sciences 0302 clinical medicine Breast cancer Internal medicine medicine Biomarkers Tumor Endocrine system Humans Receptor Pathological Aged Neoplasm Staging Retrospective Studies Chemotherapy medicine.diagnostic_test business.industry Gene Expression Profiling Age Factors Disease Management Middle Aged medicine.disease Prognosis Combined Modality Therapy 030104 developmental biology Treatment Outcome Receptors Estrogen 030220 oncology & carcinogenesis Lymphatic Metastasis Female Neoplasm Grading Oncotype DX business Receptors Progesterone Algorithms |
| Zdroj: | Breast cancer research and treatment. 176(1) |
| ISSN: | 1573-7217 |
| Popis: | Determining the need for adjuvant chemotherapy in estrogen receptor (ER)+ disease can be influenced by pathological characteristics and gene expression assays [i.e., Oncotype Dx recurrence scores (RSs)]. The primary objective of this study is to investigate the relationship between the RSs and pathological markers in younger ( 50) versus older (≥ 50) women with early-stage node-negative ER+ breast cancer.This was a single academic-center retrospective cohort study. Subjects who underwent Oncotype gene expression testing were retrospectively and sequentially identified. 436 Subjects were identified of which 344 were eligible for analysis (133 younger subjects 50 years of age, and 211 older subjects ≥ 50 years). Pathological data assessed included the progesterone receptor (PR), histological grade (grade), Ki-67, and P53. A multivariable regression analysis was performed using age, PR, and grade as predictor variables for RS. Adjusted RBased on the multivariable regression analysis, the adjusted RThe relationship between pathological features and RS is consistent irrespective of age; therefore, models predicting RS may be applicable irrespective of age. |
| Databáze: | OpenAIRE |
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