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      OncoTargets and Therapy (submit here)

      This international, peer-reviewed Open Access journal by Dove Medical Press focuses on the pathological basis of cancers, potential targets for therapy and treatment protocols to improve the management of cancer patients. Publishing high-quality, original research on molecular aspects of cancer, including the molecular diagnosis, since 2008. Sign up for email alerts here. 50,877 Monthly downloads/views I 4.345 Impact Factor I 7.0 CiteScore I 0.81 Source Normalized Impact per Paper (SNIP) I 0.811 Scimago Journal & Country Rank (SJR)

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      Preoperative albumin-to-globulin ratio and prognostic nutrition index predict prognosis for glioblastoma

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          Abstract

          Objective

          Impaired immunonutritional status has disadvantageous effects on outcomes for cancer patients. Preoperative albumin-to-globulin ratio (AGR) and the prognostic nutrition index (PNI) have been used as prognostic factors in various cancers. We aimed to evaluate the clinical significance of the AGR and PNI in glioblastoma.

          Materials and methods

          This retrospective analysis involved 166 patients. Demographic, clinical, and laboratory data were collected. AGR and the PNI were calculated as AGR = albumin/(total serum protein − albumin) and PNI = albumin (g/L) + 5 × total lymphocyte count (10 9/L). Overall survival (OS) was estimated by Kaplan–Meier analysis. Receiver-operating characteristic analysis was used to assess the predictive ability of AGR and the PNI. Cox proportional-hazard models estimating hazard ratios (HRs) and 95% confidence intervals (CIs) were used for univariable and multivariable survival analyses.

          Results

          The cutoff values of AGR and PNI were 1.75 and 48. OS was enhanced, with high AGR (>1.75) and the PNI (>48) ( P<0.001 for both). Areas under the receiver-operating characteristic curve for AGR and the PNI were 0.68 and 0.631 for 1-year survival and 0.651 and 0.656 for 2-year survival ( P<0.05 for all), respectively. On multivariable analyses, both AGR and the PNI were independent predictors of OS (AGR, HR 0.785, 95% CI 0.357–0.979 [ P=0.04]; PNI, HR 0.757, 95% CI 0.378–0.985 [ P=0.039]). On subgroup analysis, AGR and the PNI were significant prognostic factors for OS in patients with adjuvant therapy (AGR P<0.001; PNI P=0.001).

          Conclusion

          Preoperative AGR and the PNI may be easy-to-perform and inexpensive indices for predicting OS with glioblastoma. AGR and the PNI could also help in developing good adjuvant-therapy schedules.

          Most cited references31

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          A novel, externally validated inflammation-based prognostic algorithm in hepatocellular carcinoma: the prognostic nutritional index (PNI)

          Background: There is increasing evidence that the presence of an ongoing systemic inflammatory response is a stage-independent predictor of poor outcome in patients with cancer. The aim of this study was to investigate whether an inflammation-based prognostic score, the prognostic nutritional index (PNI), is associated with overall survival (OS) in patients with hepatocellular carcinoma (HCC). Methods: All patients with a new diagnosis of HCC presenting to the Medical Oncology Department, Hammersmith Hospital between 1993 and 2011 (n=112) were included. Demographic and clinical data were collected. Patients in whom the combined albumin (g l−1) × total lymphocyte count × 109 l−1 was ⩾45, at presentation, were allocated a PNI score of 0. Patients in whom this total score was 400 ng ml−1 (P<0.001) and Barcelona Clinic Liver Cancer score (P<0.01) were all predictors of OS in the training set. Multivariate analysis revealed the PNI (P=0.05), presence of extrahepatic disease (P<0.001) and degree of intrahepatic spread (P<0.001) as independent predictors of worse OS in this population. The PNI retained independent prognostic value in the validation set (P<0.001). Conclusion: The presence of a systemic inflammatory response, as measured by the PNI, is an independent and externally validated predictor of poor OS in patients with HCC.
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            Combined analysis of TERT, EGFR, and IDH status defines distinct prognostic glioblastoma classes.

            To identify the prognostic significance of TERT promoter mutations (TERTp-mut) and their associations with common molecular alterations in glioblastomas (GBMs).
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              Molecular and cellular heterogeneity: the hallmark of glioblastoma.

              There has been increasing awareness that glioblastoma, which may seem histopathologically similar across many tumors, actually represents a group of molecularly distinct tumors. Emerging evidence suggests that cells even within the same tumor exhibit wide-ranging molecular diversity. Parallel to the discoveries of molecular heterogeneity among tumors and their individual cells, intense investigation of the cellular biology of glioblastoma has revealed that not all cancer cells within a given tumor behave the same. The identification of a subpopulation of brain tumor cells termed "glioblastoma cancer stem cells" or "tumor-initiating cells" has implications for the management of glioblastoma. This focused review will therefore summarize emerging concepts on the molecular and cellular heterogeneity of glioblastoma and emphasize that we should begin to consider each individual glioblastoma to be an ensemble of molecularly distinct subclones that reflect a spectrum of dynamic cell states.
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                Author and article information

                Journal
                Onco Targets Ther
                Onco Targets Ther
                OncoTargets and Therapy
                OncoTargets and therapy
                Dove Medical Press
                1178-6930
                2017
                08 February 2017
                : 10
                : 725-733
                Affiliations
                [1 ]Department of Neurosurgery, Qilu Hospital
                [2 ]Brain Science Research Institute
                [3 ]Department of Radiation Oncology, Qilu Hospital, Shandong University, Jinan, People’s Republic of China
                Author notes
                Correspondence: Yu-Guang Liu; Feng Li, Department of Neurosurgery, Qilu Hospital, Shandong University, 107 Wenhuaxi Road, Jinan, Shandong 250012, People’s Republic of China, Tel +86 185 6008 5718; +86 185 6008 5729, Email docliuyuguang@ 123456126.com ; doclifeng@ 123456126.com
                Article
                ott-10-725
                10.2147/OTT.S127441
                5308575
                faee79f6-c814-4418-87cf-c764af7834cc
                © 2017 Xu et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

                History
                Categories
                Original Research

                Oncology & Radiotherapy
                glioblastoma,albumin-to-globulin ratio,prognostic nutrition index,prognosis

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