Genomically determined subtypes and clinicopathological features as predictors of the efficacy of preoperative chemotherapy combined with HER2-targeted therapy for early-stage HER2-positive breast cancer

Authors

Norikazu Masuda (ORCID: https://orcid.org/0000-0002-7302-0278)
Hiroyuki Yasojima (ORCID: https://orcid.org/0009-0005-3729-1520)
Kiyoshi Mori (ORCID: https://orcid.org/0000-0002-5129-9597)
Sayumi Imamura (ORCID: https://orcid.org/0009-0007-8486-6475)
Masayuki Mano
Makiko Mizutani (ORCID: https://orcid.org/0009-0008-2598-8808)
Chie Hayashi (ORCID: https://orcid.org/0000-0002-6609-042X)
Kumiko Okada

Institutions

Kyoto University (JP)
Osaka City University (JP)
Osaka National Hospital (JP)
Berurando General Hospital (JP)
Kyoto University Hospital (JP)
The University of Osaka (JP)

Publication Details

Journal: BMC Cancer
Published: 2025-11-04
DOI: https://doi.org/10.1186/s12885-025-15133-5
Primary Topic: Breast Cancer Treatment Studies
Type: article
Field-Weighted Citation Impact: 0.00

Controls

|||

ALL TIME

JAN

FEB

MAR

APR

MAY

JUN

JUL

AUG

SEP

OCT

article

Genomically determined subtypes and clinicopathological features as predictors of the efficacy of preoperative chemotherapy combined with HER2-targeted therapy for early-stage HER2-positive breast cancer

Norikazu Masuda, Hiroyuki Yasojima, Kiyoshi Mori, Sayumi Imamura et al.

Nov 4, 2025

BMC Cancer

Breast Cancer Treatment Studies

article

Genomically determined subtypes and clinicopathological features as predictors of the efficacy of preoperative chemotherapy combined with HER2-targeted therapy for early-stage HER2-positive breast cancer

Norikazu Masuda, Hiroyuki Yasojima, Kiyoshi Mori, Sayumi Imamura, Masayuki Mano, Makiko Mizutani, Chie Hayashi, Kumiko Okada

November 4, 2025article en

Abstract

No abstract available for this paper.

BMC CancerVol. 25(1)

Kyoto University (JP), Osaka City University (JP), Osaka National Hospital (JP), Berurando General Hospital (JP), Kyoto University Hospital (JP), The University of Osaka (JP)

Openalex Percentile: Top 60%

Breast Cancer Treatment Studies

DOI Open Access PDF OpenAlex

AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.