Retraction Note: A prospective diagnostic model for breast cancer utilizing machine learning to examine the molecular immune infiltrate in HSPB6 by Lizhe Wang, Yu Wang, Yueyang Li, Li Zhou, Sihan Liu, Yongyi Cao, Yuzhi Li, Shenting Liu, Jiahui Du, Jin Wang, Ting Zhu

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Genomic characterization and molecular predictive biomarkers for chemotherapy in patients with metastatic triple-negative breast cancer treated in a real-world setting by Erik Olsson, Henrik Lindman, Evangelos Digkas, Viktoria Thurfjell, Haidar Mir Ali, Ute Krüger, Anna-Karin Wennstig, Marie Sundqvist, Antonios Valachis

“…Purpose: We aimed to characterize genomic alterations with potential prognostic or predictive significance in patients with metastatic triple-negative breast cancer (mTNBC) treated with chemotherapy in a real-world setting. …”
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RETRACTED ARTICLE: Combined treatment of glibenclamide and CoCl2 decreases MMP9 expression and inhibits growth in highly metastatic breast cancer by Zhe Rong, Li Li, Fei Fei, Lailong Luo, Yang Qu

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The Prediction Model of High-Frequency Ultrasound Combined with Artificial Intelligence-Assisted Scoring System Improved the Diagnosis of Sclerosing Adenosis and Early Breast Cancer by Ma B, Wu G, Zhu H, Liu Y, Hu W, Zhao J, Liu Y, Liu Q

“…Breast Cancer: Targets and Therapy…”
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Platycodon grandiflorum-derived extracellular vesicles suppress triple-negative breast cancer growth by reversing the immunosuppressive tumor microenvironment and modulating the gut microbiota by Min Yang, Jia Guo, Jinxian Li, Shuyue Wang, Yuan Sun, Ying Liu, Yinghua Peng

“…Abstract Despite the approval of several artificial nanotherapeutics for the treatment of triple-negative breast cancer (TNBC), significant challenges, including unsatisfactory therapeutic outcomes, severe side effects, and the high cost of large-scale production, still restrict their long-term application. …”
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The impact on productivity costs of reducing unemployment in patients with advanced breast cancer: A model estimation based on a Portuguese nationwide observational study by Leonor Vasconcelos de Matos, Margarida Borges, Ana Teresa Oliveira, Carolina Bulhosa, Luís Silva Miguel, Tiago Fidalgo de Freitas, Renato Cunha, Ana Duarte Mendes, Ana Júlia Arede, Cristiana Marques, Diogo Alpuim Costa, Jorge Alves Correia, Margarida Brito, Mário Fontes e Sousa, Teresa Guimarães, Fatima Cardoso

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A patient-led survey on information and communication needs of patients with metastatic breast cancer in Ireland and Northern Ireland (CTRIAL-IE 23–05) by Siobhan Gaynor, Yvonne O'Meara, Emer Mulvaney, Rachel J. Keogh, Catherine S. Weadick, Fran J. Duane, Ann Mc Brien, Helen Greally, Mary Jane O'Leary, Ieva Teiserskyte, Isabel Beristain, Jacinta Marron, Eibhlin Mulroe, Vicky Donachie, Sarah Mc Loughlin, Seamus O'Reilly

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Retraction Note: Combined treatment of glibenclamide and CoCl2 decreases MMP9 expression and inhibits growth in highly metastatic breast cancer by Zhe Rong, Li Li, Fei Fei, Lailong Luo, Yang Qu

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Combined morphology and radiomics of intravoxel incoherent movement as a predictive model for the pathologic complete response before neoadjuvant chemotherapy in patients with breast cancer by Yunyan Zheng, Hui Zhang, Huijian Chen, Yang Song, Ping Lu, Mingping Ma, Mengbo Lin, Muzhen He

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New method for cytological evaluation using direct nipple discharge without aspiration by Jiang Zhu, Han Cong, Xiaotong Zhang, Xiaoya Dong, Song Zhao, Chaolu Hu, Jude Ranchu Maimo, Yawen Wang, Kai Zhang, Jianli Wang, Pengyu Li, Rong Ma

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Race as a prognostic factor of breast mucinous carcinoma by Dingyuan Wang, Yang Wang, Songlin Gao, Rongshou Zheng, Guijian Wu, Jianping Wang, Can Lu, Kena Bu, Chun Zhang, Wanqing Chen, Bailin Zhang

Subjects: “…Breast cancer…”
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Diagnostic Accuracy of Mammography, Ultrasound, and Fine-Needle Aspiration in Detecting Breast Cancer in Patients with Painful Breast Masses:A Medical Record-Base Study by Hassan Vafapour, Sajad Borzoueisileh, Fatemeh Vafapour, Zafar Masoumi Moghaddam, Frough Nikeghbali, Yaghoub Barfar, Amir Hekmatifar

Subjects: “…Breast Cancer…”
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Supervised contrastive pre-training models for mammography screening by Zhenjie Cao, Zhuo Deng, Zhicheng Yang, Jie Ma, Lan Ma

Subjects: “…Breast cancer…”
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The Impact of Baseline Risk Factors on the Incidence of Febrile Neutropenia in Breast Cancer Patients Receiving Chemotherapy with Pegfilgrastim Prophylaxis: A Real-World Data Analysis by Edward Li, Bridgette Kanz Schroader, David Campbell, Kim Campbell, Weijia Wang

“…**Methods:** This was a retrospective observational study in patients with breast cancer (BC) who received myelosuppressive chemotherapy and prophylactic pegfilgrastim identified January 1, 2017-May 31, 2018 from MarketScan® research databases. …”
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Diagnostic pathways for breast cancer in 10 International Cancer Benchmarking Partnership (ICBP) jurisdictions: an international comparative cohort study based on questionnaire and registry data by David Weller, Usha Menon, Alina Zalounina Falborg, Henry Jensen, Andriana Barisic, Anne Kari Knudsen, David H Brewster, Victoria Cairnduff, Eva Grunfeld, Elizabeth Harland, Mats Lambe, Rebecca-Jane Law, Yulan Lin, Martin Malmberg, Donna Turner, Richard D Neal, Victoria White, Samantha Harrison, Peter Vedsted, Una MacLeod, Conan Donnelly, Anna Gavin, Jon Emery, Oliver Bucher, Jatinderpal Kalsi, Chantelle Anandan, Evangelia Ourania Fourkala, Therese Kearney, Marie-Louise Essink-Bot, Sigrun Saur Almberg, Breann Hawryluk, Jacqueline Kelly, Jackie Boylan, Jan Willem Coebergh, David Brewster, Stefan Bergström, Victoria Hammersley, Rebecca Bergin, Alina Zalounina Falborg, Andriana Barisi, Kerry Moore, Maria Rejmyr Davis

“…Objectives A growing body of evidence suggests longer time between symptom onset and start of treatment affects breast cancer prognosis. To explore this association, the International Cancer Benchmarking Partnership Module 4 examined differences in breast cancer diagnostic pathways in 10 jurisdictions across Australia, Canada, Denmark, Norway, Sweden and the UK.Setting Primary care in 10 jurisdictions.Participant Data were collated from 3471 women aged >40 diagnosed for the first time with breast cancer and surveyed between 2013 and 2015. …”
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Neoadjuvant apatinib addition to sintilimab and carboplatin-taxane based chemotherapy in patients with early triple-negative breast cancer: the phase 2 NeoSAC trial by Guoshuang Shen, Zhilin Liu, Miaozhou Wang, Yi Zhao, Xinlan Liu, Yujin Hou, Wenbiao Ma, Jingqi Han, Xiaofeng Zhou, Dengfeng Ren, Fuxing Zhao, Zitao Li, Shifen Huang, Yongzhi Chen, Yingjian He, Yan Liu, Zijun Zhu, Yongxin Li, Jinming Li, Mengting Da, Hongnan Mo, Feng Du, Liang Cui, Jing Bai, Zhen Liu, Fei Ma, Jiuda Zhao

“…Abstract We aimed to evaluate the efficacy and safety of adding apatinib, to sintilimab and chemotherapy in the neoadjuvant treatment of early triple-negative breast cancer (TNBC). In the phase 2 NeoSAC trial, patients with early TNBC received six cycles of apatinib, sintilimab, nab-paclitaxel, and carboplatin followed by surgery. …”
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RETRACTED ARTICLE: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

Subjects: “…Breast cancer…”
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A multicenter, randomized, open label, two formulation, crossover bioequivalence trial of doxorubicin hydrochloride liposomal injection in Chinese patients with metastatic breast cancer by Jingshu Wang, Xiuping Lai, Herui Yao, Hui Yang, Xiaolong Cao, Xiaochen Wang, Ying Wang, Weiqi Nian, Xiaodong Zheng, Qingxiu Mai, Anding Liu, Xiaozhi Lv, Xiaoying Bi, Junyi Chen, Junyan Wu, Suiwen Ye

Subjects: “…Breast cancer…”
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Beyond Hormone Receptors: liquid biopsy tools to unveil new clinical meanings and empower therapeutic decision-making in Luminal-like metastatic breast cancer by Brenno Pastò, Riccardo Vida, Arianna Dri, Lorenzo Foffano, Serena Della Rossa, Lorenzo Gerratana, Fabio Puglisi

Subjects: “…Metastatic breast cancer…”
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Retraction Note: Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients by Xiliang Zhang, Hanjie Guo, Xiaolong Li, Wei Tao, Xiaoqing Ma, Yuxing Zhang, Weidong Xiao

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