A novel signature predicts recurrence risk and therapeutic response in breast cancer patients

Author:

Tran Quynh Hoa1,Than Van Thai23,Luu Phuc Loi4,Clarke Declan56,Lam Hanh Ngoc7,Nguyen Thanh‐Giang Tan8,Nguyen Dinh‐Truong8,Duy Phan Q.9,Phung Dung10,Nguyen Minh Nam11ORCID

Affiliation:

1. Department of Biotechnology Ho Chi Minh City University of Food Industry Ho Chi Minh City Vietnam

2. Faculty of Biotechnology, Chemistry and Environmental Engineering PHENIKAA University Hanoi Vietnam

3. PHENIKAA Research and Technology Institute (PRATI) A&A Green Phoenix Group JSC Hanoi Vietnam

4. Epigenetics Research Laboratory Genomics and Epigenetics Division, Garvan Institute of Medical Research Darlinghurst New South Wales Australia

5. Program in Computational Biology and Bioinformatics Yale University New Haven Connecticut USA

6. Department of Molecular Biophysics and Biochemistry Yale University New Haven Connecticut USA

7. Department of Microbiology and Environmental Toxicology University of California Santa Cruz California USA

8. School of Biotechnology Tan Tao University Tan Duc E.City Vietnam

9. Medical Scientist Training Program Yale University School of Medicine New Haven Connecticut USA

10. School of Medicine Griffith University Southport Queensland Australia

11. School of Medicine Vietnam National University Ho Chi Minh City Ho Chi Minh City Vietnam

Publisher

Wiley

Subject

Cancer Research,Oncology

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