A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma.
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| Title: | A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma. |
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| Authors: | Shen, Yujie1 (AUTHOR), Huang, Qiang1 (AUTHOR), Zhang, Yifan1 (AUTHOR), Hsueh, Chi-Yao1 (AUTHOR) hsuehchiyao@gmail.com, Zhou, Liang1 (AUTHOR) liang.zhou@fdeent.org |
| Source: | Cancer Cell International. 7/8/2022, Vol. 22 Issue 1, p1-16. 16p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 157887904 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Shen%2C+Yujie%22">Shen, Yujie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Qiang%22">Huang, Qiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yifan%22">Zhang, Yifan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hsueh%2C+Chi-Yao%22">Hsueh, Chi-Yao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hsuehchiyao@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Liang%22">Zhou, Liang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> liang.zhou@fdeent.org</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cancer+Cell+International%22">Cancer Cell International</searchLink>. 7/8/2022, Vol. 22 Issue 1, p1-16. 16p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=157887904 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12935-022-02647-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Titles: – TitleFull: A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shen, Yujie – PersonEntity: Name: NameFull: Huang, Qiang – PersonEntity: Name: NameFull: Zhang, Yifan – PersonEntity: Name: NameFull: Hsueh, Chi-Yao – PersonEntity: Name: NameFull: Zhou, Liang IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 07 Text: 7/8/2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 14752867 Numbering: – Type: volume Value: 22 – Type: issue Value: 1 Titles: – TitleFull: Cancer Cell International Type: main |
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