Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer.
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| Title: | Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer. |
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| Authors: | Pavanelli AC; Discipline of Oncology, Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil.; Center for Translational Research in Oncology, Cancer Institute of São Paulo, São Paulo 01246-903, Brazil., Mangone FR; Discipline of Oncology, Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil.; Center for Translational Research in Oncology, Cancer Institute of São Paulo, São Paulo 01246-903, Brazil., Barros LRC; Discipline of Oncology, Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil.; Center for Translational Research in Oncology, Cancer Institute of São Paulo, São Paulo 01246-903, Brazil., Machado-Rugolo J; Department of Pathology, University of São Paulo Medical School (USP), São Paulo 01246-903, Brazil.; Health Technology Assessment Center (NATS), Clinical Hospital (HCFMB), Medical School of São Paulo State University (UNESP), Botucatu, São Paulo 01246-903, Brazil., Capelozzi VL; Department of Pathology, University of São Paulo Medical School (USP), São Paulo 01246-903, Brazil., Nagai MA; Discipline of Oncology, Department of Radiology and Oncology, Faculty of Medicine, University of São Paulo, São Paulo 01246-903, Brazil.; Center for Translational Research in Oncology, Cancer Institute of São Paulo, São Paulo 01246-903, Brazil. |
| Source: | Genes [Genes (Basel)] 2021 Jun 29; Vol. 12 (7). Date of Electronic Publication: 2021 Jun 29. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101551097 Publication Model: Electronic Cited Medium: Internet ISSN: 2073-4425 (Electronic) Linking ISSN: 20734425 NLM ISO Abbreviation: Genes (Basel) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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