Development and internal validation of a predictive model of overall and progression-free survival in eribulin-treated patients with breast cancer based on baseline peripheral blood parameters

Nomograms incorporating peripheral blood parameters may improve the accuracy of predicting OS and PFS in patients treated with eribulin. Our prediction model may help decision-making for breast cancer patients who are considering eribulin treatment.

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Publication Details

Journal
Breast Cancer
Published
2025-02-20
DOI
https://doi.org/10.1007/s12282-025-01678-7
Citations
3
Primary Topic
Cancer Treatment and Pharmacology
Type
article
Field-Weighted Citation Impact
3.14

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article

Development and internal validation of a predictive model of overall and progression-free survival in eribulin-treated patients with breast cancer based on baseline peripheral blood parameters

Masataka Igeta, Masayuki Nagahashi, Takashi Daimon, Yasuo Miyoshi et al.
3 citations
Breast Cancer
Cancer Treatment and Pharmacology
3.14
article

Development and internal validation of a predictive model of overall and progression-free survival in eribulin-treated patients with breast cancer based on baseline peripheral blood parameters

Masataka Igeta, Masayuki Nagahashi, Takashi Daimon, Yasuo Miyoshi, Keiko Natori, Sadako Akashi‐Tanaka, Takashi Morimoto
article en
3 citations

Abstract

Nomograms incorporating peripheral blood parameters may improve the accuracy of predicting OS and PFS in patients treated with eribulin. Our prediction model may help decision-making for breast cancer patients who are considering eribulin treatment.

Breast CancerVol. 32(3)
Hyogo Medical University (JP), Tokyo Women's Medical University (JP), Hyogo University (JP)
Hyogo College of Medicine
Openalex Percentile: Top 9%
Cancer Treatment and Pharmacology
3.14
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