A 10-miRNA risk score-based prediction model for pathological complete response to neoadjuvant chemotherapy in hormone receptor-positive breast cancer

Chang Gong, Ziliang Cheng, Yaping Yang, Jun Shen, Yingying Zhu, Li Ling, Wanyi Lin, Zhigang Yu, Zhihua Li, Weige Tan, Chushan Zheng, Wenbo Zheng, Jiajie Zhong, Xiang Zhang, Yunjie Zeng, Qiang Liu, R. Stephanie Huang, Andrzej L. Komorowski, Eddy S. Yang, François BertucciFrancesco Ricci, Fabio Ricci, Armando Orlandi, Gianluca Franceschini, Kazuaki Takabe, Suzanne Klimberg, Naohiro Ishii, Angela Toss, Mona P. Tan, Mathew A. Cherian, Erwei Song

Dipartimento di Medicina e chirurgia traslazionale
Facoltà di Medicina e Chirurgia "A.Gemelli"
Ambito disciplinare: Clinica Chirurgica Generale

Sun Yat-Sen University
Shandong University
Third Hospital of Nanchang
Guangzhou Medical College
University of Minnesota Twin Cities
University of Rzeszów
University of Alabama at Birmingham
Parc Scientifique et Technologique de Luminy
Institut Curie
Roswell Park Cancer Institute
University of Texas Health Science Center at Houston
International University of Health and Welfare
University of Modena and Reggio Emilia
MammoCare: Breast Clinic and Surgery in Singapore
Ohio State University

Risultato della ricerca: Contributo in rivista › Articolo in rivista

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A 10-miRNA risk score-based prediction model for pathological complete response to neoadjuvant chemotherapy in hormone receptor-positive breast cancer

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Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science

Neuroscience

Biochemistry, Genetics and Molecular Biology