Oksana Zemskova, Nathan Y Yu, Jan Leppert, Anastassia Löser, Dirk Rades
{"title":"血小板淋巴细胞比值（PLR）和中性粒细胞淋巴细胞比值（NLR）能否帮助预测复发性胶质母细胞瘤患者的预后？","authors":"Oksana Zemskova, Nathan Y Yu, Jan Leppert, Anastassia Löser, Dirk Rades","doi":"10.21873/invivo.13700","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/aim: </strong>In patients with recurrent glioblastoma, very little data are available regarding the prognostic value of platelet-to-lymphocyte (PLR) and neutrophil-to-lymphocyte (NLR) ratios. This study investigated potential associations between PLR or NLR and treatment outcomes.</p><p><strong>Patients and methods: </strong>PLR and NLR at diagnosis of recurrence plus 10 additional characteristics were retrospectively analyzed for associations with progression-free survival (PFS) and overall survival (OS) in 75 patients with recurrent glioblastoma.</p><p><strong>Results: </strong>On multivariate analyses, maximal cumulative diameter of recurrent lesion(s) <40 mm (p=0.015) and systemic therapy (p<0.001) were associated with improved PFS. On multivariate analysis of OS, improved outcomes were significantly associated with PLR ≤150 (p=0.029), maximal cumulative diameter <40 mm (p=0.030), and systemic therapy (p=0.010).</p><p><strong>Conclusion: </strong>In addition to other characteristics, PLR at the time of recurrence was identified as an independent predictor of OS in patients with recurrent glioblastoma. PLR may be useful when designing personalized treatment approaches or clinical trials.</p>","PeriodicalId":13364,"journal":{"name":"In vivo","volume":"38 5","pages":"2341-2348"},"PeriodicalIF":1.8000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363804/pdf/","citationCount":"0","resultStr":"{\"title\":\"Can Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) Help Predict Outcomes of Patients With Recurrent Glioblastoma?\",\"authors\":\"Oksana Zemskova, Nathan Y Yu, Jan Leppert, Anastassia Löser, Dirk Rades\",\"doi\":\"10.21873/invivo.13700\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/aim: </strong>In patients with recurrent glioblastoma, very little data are available regarding the prognostic value of platelet-to-lymphocyte (PLR) and neutrophil-to-lymphocyte (NLR) ratios. This study investigated potential associations between PLR or NLR and treatment outcomes.</p><p><strong>Patients and methods: </strong>PLR and NLR at diagnosis of recurrence plus 10 additional characteristics were retrospectively analyzed for associations with progression-free survival (PFS) and overall survival (OS) in 75 patients with recurrent glioblastoma.</p><p><strong>Results: </strong>On multivariate analyses, maximal cumulative diameter of recurrent lesion(s) <40 mm (p=0.015) and systemic therapy (p<0.001) were associated with improved PFS. On multivariate analysis of OS, improved outcomes were significantly associated with PLR ≤150 (p=0.029), maximal cumulative diameter <40 mm (p=0.030), and systemic therapy (p=0.010).</p><p><strong>Conclusion: </strong>In addition to other characteristics, PLR at the time of recurrence was identified as an independent predictor of OS in patients with recurrent glioblastoma. PLR may be useful when designing personalized treatment approaches or clinical trials.</p>\",\"PeriodicalId\":13364,\"journal\":{\"name\":\"In vivo\",\"volume\":\"38 5\",\"pages\":\"2341-2348\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11363804/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"In vivo\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21873/invivo.13700\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"In vivo","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21873/invivo.13700","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Can Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) Help Predict Outcomes of Patients With Recurrent Glioblastoma?
Background/aim: In patients with recurrent glioblastoma, very little data are available regarding the prognostic value of platelet-to-lymphocyte (PLR) and neutrophil-to-lymphocyte (NLR) ratios. This study investigated potential associations between PLR or NLR and treatment outcomes.
Patients and methods: PLR and NLR at diagnosis of recurrence plus 10 additional characteristics were retrospectively analyzed for associations with progression-free survival (PFS) and overall survival (OS) in 75 patients with recurrent glioblastoma.
Results: On multivariate analyses, maximal cumulative diameter of recurrent lesion(s) <40 mm (p=0.015) and systemic therapy (p<0.001) were associated with improved PFS. On multivariate analysis of OS, improved outcomes were significantly associated with PLR ≤150 (p=0.029), maximal cumulative diameter <40 mm (p=0.030), and systemic therapy (p=0.010).
Conclusion: In addition to other characteristics, PLR at the time of recurrence was identified as an independent predictor of OS in patients with recurrent glioblastoma. PLR may be useful when designing personalized treatment approaches or clinical trials.
期刊介绍：
IN VIVO is an international peer-reviewed journal designed to bring together original high quality works and reviews on experimental and clinical biomedical research within the frames of physiology, pathology and disease management.
The topics of IN VIVO include: 1. Experimental development and application of new diagnostic and therapeutic procedures; 2. Pharmacological and toxicological evaluation of new drugs, drug combinations and drug delivery systems; 3. Clinical trials; 4. Development and characterization of models of biomedical research; 5. Cancer diagnosis and treatment; 6. Immunotherapy and vaccines; 7. Radiotherapy, Imaging; 8. Tissue engineering, Regenerative medicine; 9. Carcinogenesis.
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