Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST)
| Autor: | Dennis Görlich, Hans-Christian Kolberg, Tanja Fehm, L Kerschke, Ingo Bauerfeind, M. Hausschild, Gisela Helms, Lukas Schwentner, A Stäbler, Sabine Schmatloch, Gunter von Minckwitz, Michael Untch, Cornelia Liedtke, Thorsten Kühn, Annette Lebeau, Barbara Fleige, S. Loibl |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Oncology Cancer Research medicine.medical_specialty Lymphovascular invasion Antineoplastic Agents Breast Neoplasms Logistic regression 03 medical and health sciences 0302 clinical medicine Breast cancer Internal medicine medicine Humans Pathological Aged Neoplasm Staging 030219 obstetrics & reproductive medicine Sentinel Lymph Node Biopsy business.industry Area under the curve General Medicine Odds ratio Middle Aged Nomogram medicine.disease Neoadjuvant Therapy Confidence interval Nomograms ROC Curve Chemotherapy Adjuvant Area Under Curve Lymphatic Metastasis 030220 oncology & carcinogenesis Axilla Female Sentinel Lymph Node business |
| Zdroj: | Clinical & Experimental Metastasis. 35:777-783 |
| ISSN: | 1573-7276 0262-0898 |
| Popis: | Optimization of axillary staging among patients converting from clinically node-positive disease to clinically node-negative disease through primary systemic therapy is needed. We aimed at developing a nomogram predicting the probability of positive axillary status after chemotherapy based on clinical/pathological parameters. Patients from study arm C of the SENTINA trial were included. Univariable/multivariable analyses were performed for 13 clinical/pathological parameters to predict a positive pathological axillary status after chemotherapy using logistic regression models. Odds ratios and 95%-confidence-intervals were reported. Model performance was assessed by leave-one-out cross-validation. Calculations were performed using the SAS Software (Version 9.4, SAS Institute Inc., Cary, NC, USA). 369 of 553 patients in Arm C were included in multivariable analysis. Stepwise backward variable selection based on a multivariable analysis resulted in a model including estrogen receptor (ER) status (odds ratio (OR) 3.916, 95% confidence interval (CI) 2.318–6.615, p |
| Databáze: | OpenAIRE |
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