Development of a prediction model for lymph node metastasis in luminal A subtype breast cancer: the possibility to omit sentinel lymph node biopsy
| Autor: | Masashi Shimoda, Minako Nishio, Naofumi Kagara, Atsushi Shimomura, Shinzaburo Noguchi, Yasuto Naoi, Seung Jin Kim, Ryo Tsunashima, Naomi Maruyama, Kenzo Shimazu, Chiaki Nakauchi |
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| Rok vydání: | 2014 |
| Předmět: |
Oncology
Cancer Research medicine.medical_specialty Microarray Sentinel lymph node Breast Neoplasms Lymph node metastasis Kaplan-Meier Estimate Unnecessary Procedures Risk Assessment Disease-Free Survival Breast tumor Decision Support Techniques Breast cancer Predictive Value of Tests Risk Factors Internal medicine Biopsy medicine Biomarkers Tumor Humans Genetic Predisposition to Disease Genetic Testing Oligonucleotide Array Sequence Analysis Training set medicine.diagnostic_test business.industry Sentinel Lymph Node Biopsy Gene Expression Profiling Reproducibility of Results Luminal a Middle Aged medicine.disease Gene Expression Regulation Neoplastic Nomograms Phenotype Treatment Outcome Lymphatic Metastasis Multivariate Analysis Female business |
| Zdroj: | Cancer letters. 353(1) |
| ISSN: | 1872-7980 |
| Popis: | The present study aimed to construct a prediction model for axillary lymph node metastasis (ALNM) using a DNA microarray assay for gene expression in breast tumor tissues. Luminal A breast cancers, diagnosed by PAM50 testing, were analyzed, and a prediction model (genomic nodal index (GNI)) consisting of 292 probe sets for ALNM was constructed in a training set of patients (n=388), and was validated in the first (n=59) and the second (n=103) validation sets. AUCs of ROC were 0.820, 0.717, and 0.749 in the training, first, and second validation sets, respectively. GNI was most significantly associated with ALNM, independently of the other conventional clinicopathological parameters in all cohorts. It is suggested that GNI can be used to identify the patients with a low risk for ALNM so that sentinel lymph node biopsy can be spared safely. |
| Databáze: | OpenAIRE |
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