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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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      Derived neutrophil to lymphocyte ratio and monocyte to lymphocyte ratio may be better biomarkers for predicting overall survival of patients with advanced gastric cancer

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          Abstract

          Background and objectives

          Preoperative systemic inflammatory response and nutritional status play important roles in the tumorigenesis, progression, and prognosis of gastric cancer (GC). This research is designed to investigate the prognostic value of the biomarkers including the neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratio (PLR), and prognostic nutritional index (PNI) in predicting overall survival in patients with GC.

          Methods

          A total of 1,990 consecutive GC patients who underwent gastrectomy from 2007 to 2011 were enrolled and divided into high level and low level based on the optimal cut-off points for NLR, dNLR, MLR, PLR, and PNI, respectively. The clinicopathological characteristics of the two levels were comparatively analyzed. Overall survival analysis was executed using these biomarkers and clinicopathological characteristics.

          Results

          The number of metastatic lymph nodes, distant metastasis, American Joint Committee on Cancer TNM stage, radicality, tumor size, metastatic lymph nodes ratio, ascites, and Hb were all significantly associated with NLR, dNLR, MLR, PLR, and PNI. All of these five biomarkers were closely associated with overall survival in univariate analyses, but only dNLR and MLR were significant in multivariate model. dNLR and MLR can be bonded to predict survival, but whether separate or together, dNLR and MLR were mainly significant in advanced stages.

          Conclusion

          Although preoperative NLR, dNLR, MLR, PLR, and PNI in peripheral blood proved significant prediction of prognoses of postoperative GC patients, dNLR and MLR may be better biomarkers for predicting overall survival, especially in advanced GC patients.

          Most cited references15

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          Principles and practical application of the receiver-operating characteristic analysis for diagnostic tests.

          We review the principles and practical application of receiver-operating characteristic (ROC) analysis for diagnostic tests. ROC analysis can be used for diagnostic tests with outcomes measured on ordinal, interval or ratio scales. The dependence of the diagnostic sensitivity and specificity on the selected cut-off value must be considered for a full test evaluation and for test comparison. All possible combinations of sensitivity and specificity that can be achieved by changing the test's cut-off value can be summarised using a single parameter; the area under the ROC curve. The ROC technique can also be used to optimise cut-off values with regard to a given prevalence in the target population and cost ratio of false-positive and false-negative results. However, plots of optimisation parameters against the selected cut-off value provide a more-direct method for cut-off selection. Candidates for such optimisation parameters are linear combinations of sensitivity and specificity (with weights selected to reflect the decision-making situation), odds ratio, chance-corrected measures of association (e. g. kappa) and likelihood ratios. We discuss some recent developments in ROC analysis, including meta-analysis of diagnostic tests, correlated ROC curves (paired-sample design) and chance- and prevalence-corrected ROC curves.
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            The platelet contribution to cancer progression.

            Traditionally viewed as major cellular components in hemostasis and thrombosis, the contribution of platelets to the progression of cancer is an emerging area of research interest. Complex interactions between tumor cells and circulating platelets play an important role in cancer growth and dissemination, and a growing body of evidence supports a role for physiologic platelet receptors and platelet agonists in cancer metastases and angiogenesis. Platelets provide a procoagulant surface facilitating amplification of cancer-related coagulation, and can be recruited to shroud tumor cells, thereby shielding them from immune responses, and facilitate cancer growth and dissemination. Experimental blockade of key platelet receptors, such as GP1b/IX/V, GPIIbIIIa and GPVI, has been shown to attenuate metastases. Platelets are also recognized as dynamic reservoirs of proangiogenic and anti-angiogenic proteins that can be manipulated pharmacologically. A bidirectional relationship between platelets and tumors is also seen, with evidence of 'tumor conditioning' of platelets. The platelet as a reporter of malignancy and a targeted delivery system for anticancer therapy has also been proposed. The development of platelet inhibitors that influence malignancy progression and clinical testing of currently available antiplatelet drugs represents a promising area of targeted cancer therapy. © 2011 International Society on Thrombosis and Haemostasis.
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              Prognostic value of pre-operative inflammatory response biomarkers in gastric cancer patients and the construction of a predictive model

              Background Inflammation plays an integral role in carcinogenesis and tumor progression. Inflammatory response biomarkers have shown to be promising prognostic factors for improving the predictive accuracy in various cancers. The aim of this study is to investigate the prognostic significance of pre-operative neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) in gastric cancer (GC). Methods 389 patients who had undergone gastrectomy were enrolled from 2007 to 2009 in this study. NLR, dNLR, PLR and LMR were calculated from peripheral blood cell count taken at pre-operation. Receiver operating curve (ROC) was used to determine the optimal cut-off levels for these biomarkers. A predictive model or nomogram was established to predict prognosis for cancer-specific survival (CSS) and disease-free survival (DFS), and the predictive accuracy of the nomogram was determined by concordance index (c-index). Results The median follow-up period was 24 months ranging from 3 months to 60 months. The optimal cut-off levels were 2.36 for NLR, 1.85 for dNLR, 132 for PLR and 4.95 for LMR by ROC curves analysis. Elevated NLR, dNLR and PLR were significantly associated with worse overall survival (OS), CSS and DFS, however, elevated LMR showed an adverse effect on worse OS, CSS and DFS. Multivariate analysis revealed that elevated dNLR was an independent factor for worse OS, and NLR was superior to dNLR, PLR and LMR in terms of hazard ratio (HR = 1.53, 95% CI = 1.11-2.11, P = 0.010), which was shown to be independent prognostic indicators for both CSS and DFS. Moreover, the nomogram could more accurately predict CSS (c-index: 0.89) and DFS (c-index: 0.84) in surgical GC patients. Conclusions Pre-operative NLR and dNLR may serve as potential prognostic biomarkers in patients with GC who underwent surgical resection. The proposed nomograms can be used for the prediction of CSS and DFS in patients with GC who have undergone gastrectomy.
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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
                26 June 2017
                : 10
                : 3145-3154
                Affiliations
                Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Harbin, People’s Republic of China
                Author notes
                Correspondence: Yingwei Xue, Department of Gastrointestinal Surgery, Harbin Medical University Cancer Hospital, Haping Road, Harbin, People’s Republic of China, Tel +86 451 8629 8932, Fax +86 451 8629 8932, Email xyw801@ 123456163.com
                Article
                ott-10-3145
                10.2147/OTT.S138039
                5495088
                28706446
                1948a12a-8630-44df-8b17-16852c4ca089
                © 2017 Song 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
                gastric cancer,prognosis,survival,biomarker,systemic inflammatory response
                Oncology & Radiotherapy
                gastric cancer, prognosis, survival, biomarker, systemic inflammatory response

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