20.500.12556/RUL-166994 Predicting nodal response to neoadjuvant treatment in breast cancer with core biopsy biomarkers of tumor microenvironment using data mining Purpose: To generate a model for predicting nodal response to neoadjuvant systemic treatment (NAST) in biopsy-proven node-positive breast cancer patients (cN+) that incorporates tumor microenvironment (TME) characteristics and could be used for planning the axillary surgical staging procedure. Methods: Clinical and pathologic features were retrospectively collected for 437 patients. Core biopsy (CB) samples were reviewed for stromal content and tumor-infiltrating lymphocytes (TIL). Orange Datamining Toolbox was used for model generation and assessment. Results: 151/437 (34.6%) patients achieved nodal pCR (ypN0). The following 5 variables were included in the prediction model: ER, Her-2, grade, stroma content and TILs. After stratified tenfold cross-validation, the logistic regression algorithm achieved and area under the ROC curve (AUC) of 0.86 and F1 score of 0.72. Nomogram was used for visualization. Conclusions: We developed a clinical tool to predict nodal pCR for cN+ patients after NAST that includes biomarkers of TME and achieves an AUC of 0.86 after tenfold cross-validation. breast cancer neoadjuvant therapy tumor microenvironment nodal response prediction model rak dojke neoadjuvantno zdravljenje mikrookolje tumorja true false true Angleški jezik Slovenski jezik Članek v reviji 2025-02-03 10:37:44 2025-02-03 10:37:49 2025-02-04 04:01:06 0000-00-00 00:00:00 2025 0 0 Str. 87–94 iss. 1 Vol. 210 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 618.1 0167-6806 10.1007/s10549-024-07539-9 215326467 s10549-024-07539-9.pdf s10549-024-07539-9.pdf 1 2BAAE93ED7CDA9CF8F01F791AC310FA2 93e9ae65f29880faa5e89f27f942a28e4e0da47d7bade617215e8747e0aaab65 efc2c67b-e211-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=199065 https://link.springer.com/article/10.1007/s10549-024-07539-9 0 ea317e08-e211-11ef-b232-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=199064 Medicinska fakulteta 0 0 0