Breast Cancer Research : Bcr
Overview
Breast Cancer Research (BCR) is a renowned scientific journal dedicated to advancing knowledge and understanding of breast cancer. It publishes cutting-edge research articles, reviews, and commentaries that cover various aspects of breast cancer, including its etiology, prevention, diagnosis, treatment, and survivorship. BCR serves as a valuable resource for researchers, clinicians, and healthcare professionals, contributing to the ongoing efforts in improving patient outcomes and ultimately finding a cure for this prevalent disease.
Details
Details
Abbr.
Breast Cancer Res
Start
1999
End
Continuing
Frequency
Bimonthly
p-ISSN
1465-5411
e-ISSN
1465-542X
Country
United Kingdom
Language
English
Specialty
Oncology
Metrics
Metrics
h-index / Ranks: 1006
175
SJR / Ranks: 790
2578
CiteScore / Ranks: 731
13.80
JIF / Ranks: 780
7.4
Recent Articles
1.
de Moraes F, de Castro Ribeiro C, Pessoa F, Chaves J, de Souza A, Di Felipe Avila Alcantara D, et al.
Breast Cancer Res
. 2025 Mar;
27(1):39.
PMID: 40089780
Background: Currently, the primary methods for detecting HER2 expression levels are immunohistochemistry (IHC) and in situ hybridization (ISH), with the traditional standard being a HER2-positive score of 3 + accompanied...
2.
Zhang D, Jahanfar S, Rabinowitz J, Dower J, Song F, Wu C, et al.
Breast Cancer Res
. 2025 Mar;
27(1):38.
PMID: 40075528
Background: Triple-negative breast cancer (TNBC) accounts for 15% of all breast cancers and carries a worse prognosis relative to other breast cancer subtypes. This systematic review and meta-analysis evaluated the...
3.
Heckenbach I, Peila R, Benz C, Weinmann S, Wang Y, Powell M, et al.
Breast Cancer Res
. 2025 Mar;
27(1):37.
PMID: 40069863
Background: Each year, millions of women undergo breast biopsies. Of these, 80% are negative for malignancy but some may be at elevated risk of invasive breast cancer (IBC) due to...
4.
Dent R, Cortes J, Park Y, Munoz-Couselo E, Kim S, Sohn J, et al.
Breast Cancer Res
. 2025 Mar;
27(1):35.
PMID: 40069763
Background: The multicohort, open-label, phase 1b KEYNOTE-173 study was conducted to investigate pembrolizumab plus chemotherapy as neoadjuvant therapy for triple-negative breast cancer (TNBC). This exploratory analysis evaluated features of the...
5.
Viart N, Renault A, Eon-Marchais S, Jiao Y, Fuhrmann L, El Houdigui S, et al.
Breast Cancer Res
. 2025 Mar;
27(1):36.
PMID: 40069712
Background: The ataxia-telangiectasia mutated (ATM) kinase phosphorylates and activates several downstream targets that are essential for DNA damage repair, cell cycle inhibition and apoptosis. Germline biallelic inactivation of the ATM...
6.
Lee J, Ham S, Kim N, Park H
Breast Cancer Res
. 2025 Mar;
27(1):34.
PMID: 40065440
Background: Traditional surgical education is based on observation and assistance in surgical practice. Recently introduced deep learning (DL) techniques enable the recognition of the surgical view and automatic identification of...
7.
Ward A, Riley D, Cosper K, Finlay-Schultz J, Brechbuhl H, Libby A, et al.
Breast Cancer Res
. 2025 Mar;
27(1):32.
PMID: 40055794
Background: Lipid metabolic reprogramming is increasingly recognized as a hallmark of endocrine resistance in estrogen receptor-positive (ER+) breast cancer. In this study, we investigated alterations in lipid metabolism in ER ...
8.
Usui T, Miyake T, Watabe T, Kato H, Yoshii Y, Naka S, et al.
Breast Cancer Res
. 2025 Mar;
27(1):33.
PMID: 40055744
Background: Despite advances in breast cancer imaging, reliable detection of sentinel lymph node (SLN) metastasis remains challenging. This study aimed to determine the ability of immuno-positron emission tomography (PET) using...
9.
Wu S, Jiang B, Li Z, Tang Y, Luo L, Feng W, et al.
Breast Cancer Res
. 2025 Mar;
27(1):31.
PMID: 40045365
Breast cancer (BRCA) is a common malignant tumor, and its immune microenvironment plays a crucial role in disease progression. In this research, we utilized single-cell RNA sequencing and bulk RNA...
10.
Feng X, Shi Y, Wu M, Cui G, Du Y, Yang J, et al.
Breast Cancer Res
. 2025 Feb;
27(1):30.
PMID: 40016785
Objective: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response...