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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 34209776 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pavanelli+AC%22">Pavanelli AC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mangone+FR%22">Mangone FR</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Barros+LRC%22">Barros LRC</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Machado-Rugolo+J%22">Machado-Rugolo J</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Capelozzi+VL%22">Capelozzi VL</searchLink>; Department of Pathology, University of São Paulo Medical School (USP), São Paulo 01246-903, Brazil.<br /><searchLink fieldCode="AU" term="%22Nagai+MA%22">Nagai MA</searchLink>; 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. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101551097%22">Genes</searchLink> [Genes (Basel)] 2021 Jun 29; Vol. 12 (7). <i>Date of Electronic Publication: </i>2021 Jun 29. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101551097 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2073-4425 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220734425%22">20734425 </searchLink><i>NLM ISO Abbreviation: </i>Genes (Basel) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34209776 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/genes12070996 Languages: – Code: eng Text: English Titles: – TitleFull: Abnormal Long Non-Coding RNAs Expression Patterns Have the Potential Ability for Predicting Survival and Treatment Response in Breast Cancer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pavanelli AC – PersonEntity: Name: NameFull: Mangone FR – PersonEntity: Name: NameFull: Barros LRC – PersonEntity: Name: NameFull: Machado-Rugolo J – PersonEntity: Name: NameFull: Capelozzi VL – PersonEntity: Name: NameFull: Nagai MA IsPartOfRelationships: – BibEntity: Dates: – D: 29 M: 06 Text: 2021 Jun 29 Type: published Y: 2021 Identifiers: – Type: issn-electronic Value: 2073-4425 Numbering: – Type: volume Value: 12 – Type: issue Value: 7 Titles: – TitleFull: Genes Type: main |
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