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

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.

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Publication Details

Journal
Breast Cancer Research and Treatment
Published
2024-11-04
DOI
https://doi.org/10.1007/s10549-024-07539-9
Citations
1
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.29

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article

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

Andraž Perhavec, Gašper Pilko, Nina Pislar, Janez Žgajnar et al.
1 citations
Breast Cancer Research and Treatment
Breast Cancer Treatment Studies
0.29
article

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

Andraž Perhavec, Gašper Pilko, Nina Pislar, Janez Žgajnar, Erika Matos, Gorana Gašljević
article en
1 citations

Abstract

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 Research and TreatmentVol. 210(1)
University of Ljubljana (SI), Institute of Oncology Ljubljana (SI), University of Maribor (SI)
Javna Agencija za Raziskovalno Dejavnost RS
Good health and well-being
Openalex Percentile: Top 38%
Breast Cancer Treatment Studies
0.29
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