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NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy.

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Title: NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy.
Authors: Liu X; The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China., Wang P; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. peipeiwang2016@163.com.; School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, China. peipeiwang2016@163.com., Liu G; The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China. eyglliu@scut.edu.cn.; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. eyglliu@scut.edu.cn.
Source: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico [Clin Transl Oncol] 2025 Apr; Vol. 27 (4), pp. 1529-1538. Date of Electronic Publication: 2024 Sep 20.
Publication Type: Journal Article
Journal Info: Publisher: Springer Italia Country of Publication: Italy NLM ID: 101247119 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1699-3055 (Electronic) Linking ISSN: 1699048X NLM ISO Abbreviation: Clin Transl Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Liu+X%22">Liu X</searchLink>; The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China.; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China.<br /><searchLink fieldCode="AU" term="%22Wang+P%22">Wang P</searchLink>; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. peipeiwang2016@163.com.; School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, China. peipeiwang2016@163.com.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; The First Affiliated Hospital, Jinan University, Guangzhou, Guangdong, China. eyglliu@scut.edu.cn.; Department of Oncology, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, Guangdong, China. eyglliu@scut.edu.cn.
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  Data: <searchLink fieldCode="JN" term="%22101247119%22">Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico</searchLink> [Clin Transl Oncol] 2025 Apr; Vol. 27 (4), pp. 1529-1538. <i>Date of Electronic Publication: </i>2024 Sep 20.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Italia%22">Springer Italia </searchLink><i>Country of Publication: </i>Italy <i>NLM ID: </i>101247119 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1699-3055 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221699048X%22">1699048X </searchLink><i>NLM ISO Abbreviation: </i>Clin Transl Oncol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s12094-024-03735-7
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        Text: English
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      – TitleFull: NRI and SIRI are the optimal combinations for prognostic risk stratification in patients with non-small cell lung cancer after EGFR-TKI therapy.
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            NameFull: Wang P
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              Text: 2025 Apr
              Type: published
              Y: 2025
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