Predicting nodal response to neoadjuvant treatment in breast cancer with core biopsy biomarkers of tumor microenvironment using data mining

Pišlar, Nina (avtor), Gašljević, Gorana (avtor), Matos, Erika (avtor), Pilko, Gašper (avtor), Žgajnar, Janez (avtor), Perhavec, Andraž (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: breast cancer, neoadjuvant therapy, tumor microenvironment, nodal response, prediction model
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: MF - Medicinska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2025
• Št. strani: Str. 87–94
• Številčenje: Vol. 210, iss. 1
• PID: 20.500.12556/RUL-166994
• UDK: 618.1
• ISSN pri članku: 0167-6806
• DOI: 10.1007/s10549-024-07539-9
• COBISS.SI-ID: 215326467
• Datum objave v RUL: 03.02.2025

Gradivo je del revije

• Naslov: Breast cancer research and treatment
• Skrajšan naslov: Breast cancer res. treat.
• Založnik: Springer Nature
• ISSN: 0167-6806
• COBISS.SI-ID: 25117952

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: rak dojke, neoadjuvantno zdravljenje, mikrookolje tumorja

Projekti

• Financer: ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
• Številka projekta: P3-0352
• Naslov: Družine s povišano ali visoko ogroženostjo za raka: svetovanje, odkrivanje mutacij in preprečevanje raka