The clinical significance of neutrophil-lymphocyte ratio versus platelet-lymphocyte ratio in patients with metastatic gastric cancer.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14686-e14686
Author(s):  
Suee Lee ◽  
Sung Yong Oh ◽  
Hyuk-Chan Kwon ◽  
Sung-Hyun Kim ◽  
Ji Hyun Lee ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Cox Regression ◽  
Performance Status ◽  
Prognostic Index ◽  
Metastatic Gastric Cancer ◽  
Hazard Ratio ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Platelet Lymphocyte Ratio

e14686 Background: Several inflammatory response materials could be biomarkers for prediction of prognosis of cancer patients. The neutrophil/lymphocyte ratio (NLR), and the platelet/lymphocyte ratio (PLR) has been introduced for prognostic scoring system in several cancer. The objective of this study was to determine whether the neutrophil-lymphocyte ratio (NLR), or the platelet-lymphocyte ratio (PLR) are significant prognostic marker in metastatic gastric cancer. Methods: We analyzed 150 patients with metastatic gastric cancer who received mFOLFOX regimen as the first-line chemotherapy. The NLR and PLR were calculated from complete blood counts in baseline laboratory test before the first cycle chemotherapy. Results: The overall response rate was 34.7% and stable disease was 38.7%. The median progression-free survival (PFS) was 4.2 months (95% CI, 3.5-4.8 months) and the median overall survival (OS) was 13.1 months (95% CI, 10.6-15.5 months). Kaplan-Meier analysis and log-rank test revealed that higher NLR (≥3) was a good prognostic biomarker of OS (p=0.024), but not associated with PFS (p=0.838). The PLR was not associated with PFS and OS (p=0.373 and p=0.304, respectively). In Cox regression analysis for predicting OS, younger age, good performance status, response of chemotherapy, and lower NLR (<3) were independent prognostic markers (Hazard ratio 2.052, 95% CI 1.370-3.075, p<0.001, hazard ratio 8.467, 95% CI 1.937-37.017, p=0.005, hazard ratio 1.889, 95% CI 1.222-2.921, p=0.004, and hazard ratio 1.616, 95% CI 1.080-2.416, p=0.019, respectively). Conclusions: Although prognosis in metastatic gastric cancer was associated with age and performance status, the NLR might be simple and prognostic index for metastatic gastric cancer.

scholarly journals Efficacy of Postoperative FOLFOX Versus XELOX Chemotherapy for Gastric Cancer and Prognostic Value of Platelet–Lymphocyte Ratio in Patients Receiving XELOX

2020 ◽  
Vol 10 ◽  
Author(s):  
Xin Yin ◽  
Tianyi Fang ◽  
Yimin Wang ◽  
Chunfeng Li ◽  
Yufei Wang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Tumor Size ◽  
Prognostic Value ◽  
Cox Regression ◽  
Postoperative Chemotherapy ◽  
Chinese Patients ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Platelet Lymphocyte Ratio ◽  
Ptnm Stage

BackgroundSurgery combined with postoperative chemotherapy is an effective method for treating patients with gastric cancer (GC) in Asia. The important roles of systemic inflammatory response in chemotherapy have been gradually verified. The purpose of this study was to assess the difference in clinical effectiveness of FOLFOX (oxaliplatin + leucovorin + 5-fluorouracil) and XELOX (oxaliplatin + capecitabine), and the prognostic value of postoperative platelet–lymphocyte ratio (PLR) in the XELOX group.MethodsPatients who received radical gastrectomy combined with postoperative chemotherapy between 2004 and 2014 were consecutively selected into the FOLFOX and XELOX groups. Group bias was reduced through propensity score matching, which resulted in 278 patients in each group. Cut-off values of systemic immune inflammation (SII) score and PLR were obtained by receiver operating characteristic curve. Kaplan–Meier and Log-rank tests were used to analyze overall survival. The chi-square test was used to analyze the association between clinical characteristics and inflammatory indexes. Univariate and multivariate analyses based on Cox regression analysis showed independent risk factors for prognosis. The nomogram was made by R studio.ResultsPatients receiving XELOX postoperative chemotherapy had better survival than those receiving FOLFOX (P &lt; 0.001), especially for stage III GC (P = 0.002). Preoperative SII was an independent risk factor for prognosis in the FOLFOX group, and PLR of the second postoperative chemotherapy regimen in the XELOX group, combined with tumor size and pTNM stage, could construct a nomogram for evaluating recurrence and prognosis.ConclusionXELOX is better than FOLFOX for treatment of GC in Chinese patients, and a nomogram constructed by PLR, tumor size and pTNM stage can predict recurrence and prognosis.

scholarly journals The prognostic and diagnostic significance of the neutrophil-to-lymphocyte ratio in hepatocellular carcinoma: a prospective controlled study

2021 ◽  
Author(s):  
Philip J. Johnson ◽  
Sofi Dhanaraj ◽  
Sarah Berhane ◽  
Laura Bonnett ◽  
Yuk Ting Ma
Keyword(s):  
Hepatocellular Carcinoma ◽  
Regression Analysis ◽  
Prognostic Factor ◽  
Cox Regression ◽  
Prognostic Models ◽  
Controlled Study ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Significant Difference

Abstract Background The neutrophil–lymphocyte ratio (NLR), a presumed measure of the balance between neutrophil-associated pro-tumour inflammation and lymphocyte-dependent antitumour immune function, has been suggested as a prognostic factor for several cancers, including hepatocellular carcinoma (HCC). Methods In this study, a prospectively accrued cohort of 781 patients (493 HCC and 288 chronic liver disease (CLD) without HCC) were followed-up for more than 6 years. NLR levels between HCC and CLD patients were compared, and the effect of baseline NLR on overall survival amongst HCC patients was assessed via multivariable Cox regression analysis. Results On entry into the study (‘baseline’), there was no clinically significant difference in the NLR values between CLD and HCC patients. Amongst HCC patients, NLR levels closest to last visit/death were significantly higher compared to baseline. Multivariable Cox regression analysis showed that NLR was an independent prognostic factor, even after adjustment for the HCC stage. Conclusion NLR is a significant independent factor influencing survival in HCC patients, hence offering an additional dimension in prognostic models.

P0141 Prognostic significance of neutrophil lymphocyte ratio in patients with non-metastatic gastric cancer

2014 ◽  
Vol 50 ◽  
pp. e49
Author(s):  
R. Eghdam Zamiri ◽  
M. Moghimi ◽  
A. Yaghoobi Gooybari ◽  
S. Keyhanian ◽  
S. Mazloomzadeh ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Prognostic Significance ◽  
Metastatic Gastric Cancer ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio

scholarly journals Short term survival of critically ill COVID-19 Egyptian patients on assisted ventilation treated by either Dexamethasone or Tocilizumab

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alaa Rashad ◽  
Sherif Mousa ◽  
Hanaa Nafady-Hego ◽  
Asmaa Nafady ◽  
Hamed Elgendy
Keyword(s):  
Critically Ill ◽  
Cox Regression ◽  
Ferritin Level ◽  
Short Term ◽  
Term Survival ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Dexamethasone Group ◽  
Short Term Survival

AbstractTocilizumab (TCZ) and Dexamethasone are used for the treatment of critically ill COVID-19 patients. We compared the short-term survival of critically ill COVID-19 patients treated with either TCZ or Dexamethasone. 109 critically ill COVID-19 patients randomly assigned to either TCZ therapy (46 patients) or pulse Dexamethasone therapy (63 patients). Age, sex, neutrophil/ lymphocyte ratio, D-dimer, ferritin level, and CT chest pattern were comparable between groups. Kaplan–Meier survival analysis showed better survival in Dexamethasone group compared with TCZ (P = 0.002), patients didn’t need vasopressor at admission (P < 0.0001), patients on non-invasive ventilation compared to patients on mechanical ventilation (P<0.0001 ), and in patients with ground glass pattern in CT chest (P<0.0001 ) compared with those who have consolidation. Cox regression analysis showed that, TCZ therapy (HR = 2.162, 95% CI, 1.144–4.087, P <0.0001) compared with Dexamethasone group, higher neutrophil/Lymphocyte ratio (HR = 2.40, CI, 1.351–4.185, P = 0.003), lower PaO2/FiO2, 2 days after treatment, (HR = 1.147, 95% CI, 1.002–1.624, P < 0.0001) independently predicted higher probability of mortality. Dexamethasone showed better survival in severe COVID-19 compared to TCZ. Considering the risk factors mentioned here is crucial when dealing with severe COVID-19 cases.Clinical trial registration No clinicalTrials.gov: Nal protocol approved by Hospital Authorities, for data collection and for participation in CT04519385 (19/08/2020).

scholarly journals Neutrophil-Lymphocyte Ratio and Circulating Tumor Cells Counts Predict Prognosis in Gastrointestinal Cancer Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Chengcheng Qian ◽  
Renjie Cai ◽  
Wenying Zhang ◽  
Jiongyi Wang ◽  
Xiaohua Hu ◽  
...  
Keyword(s):  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Gastrointestinal Cancer ◽  
Cox Regression ◽  
Disease Free Survival ◽  
Tumor Location ◽  
Cox Regression Analysis ◽  
Neutrophil Lymphocyte Ratio ◽  
Lymphocyte Ratio ◽  
Related Data

PurposeThe purpose of this study is to explore the prognostic value of associating pre-treatment neutrophil–lymphocyte ratio (NLR) with circulating tumor cells counts (CTCs) in patients with gastrointestinal cancer.Materials and MethodsWe collected the related data of 72 patients with gastric cancer (GC) and colorectal cancer (CRC) who received different therapies from August 2016 to October 2020, including age, gender, primary tumor location, TNM stage, tumor-differentiation, NLR, CTCs, disease-free survival (DFS) and overall survival (OS). We chose the optimal cut-off value of NLR &gt;3.21 or NLR ≤3.21 and CTC &gt;1 or CTC ≤1 by obtaining receiver operating characteristic (ROC) curve. The Kaplan–Meier survival analysis and Cox regression analysis were used to analyze DFS and OS. To clarify the role of the combination of NLR and CTCs counts in predicting the prognosis, we analyzed the DFS and OS when associated NLR and CTCs counts.ResultsA high NLR (&gt;3.21) was associated with shorter DFS (P &lt;0.0001) and OS (P &lt;0.0001). Patients with high CTCs level (&gt;1) had shorter DFS (P = 0.001) and OS (P = 0.0007) than patients with low CTCs level. Furthermore, patients who had both higher NLR and higher CTCs counts had obvious shorter DFS (P &lt;0.0001) and OS (P &lt;0.0001).ConclusionsPatients with higher NLR and more CTCs respectively tended to have poor prognosis with shorter DFS and OS, which might be regarded as predictors of gastrointestinal cancer. In particular, associating NLR and CTCs counts might be a reliable predictor in patients with gastrointestinal cancer.

Identification of 10 Gene Signatures as Prognostic Biomarkers for Peritoneal Metastatic Gastric Cancer

2021 ◽  
Author(s):  
Junliang Li ◽  
Lingfang Zhang ◽  
Tiankang Guo
Keyword(s):  
Gastric Cancer ◽  
Clustering Algorithm ◽  
Transforming Growth Factor ◽  
Cox Regression ◽  
Risk Groups ◽  
Metastatic Gastric Cancer ◽  
Low Risk ◽  
Gene Set Enrichment Analysis ◽  
Cox Regression Analysis ◽  
Gene Signatures

Abstract Background. Peritoneal metastatic gastric cancer (PMGC) is very common, and usually, the prognosis is poor. There is currently an absence of accurate methods for the early diagnosis and prediction of peritoneal metastasis (PM). This highlights the need to develop strategies to identify the risk of PMGC. Methods. We performed a comprehensive discovery of biomarkers to predict PM by analyzing profiling datasets from GSE62254. The prognostic PM-related genes were obtained using the univariate Cox regression analysis, followed by a least absolute shrinkage and selection operator regression (LASSO) to establish a risk score model. The gene set enrichment analysis (GSEA) was used to determine the pathway enrichment in both the high- and low-risk groups. The 1-, 3-, and 5-year overall survival (OS) rates and area under the receiver operating characteristic curve (ROC) were used to compare the predictive accuracy-based risk stratification. In addition, an unsupervised clustering algorithm was applied to divide patients into subgroups according to the PM-related genes. Results. We identified 10 genes (MMP12, TAC1, TSPYL5, PPP1R14A, TMSB15B, NPY1R, PCDH9, EPM2AIP1, TIG7, and DYNC1I1) for PMGC diagnosis. The OS rates between the high- and low-risk groups at 1-, 3-, and 5-years were significantly different in the training and validation sets. The AUCs at 1-, 3-, and 5-years in the training set were 0.71, 0.74, and 0.73, respectively. In the validation set, the AUCs at 1-, 3-, and 5-years were 0.68, 0.66, and 0.69, respectively. The 10 gene signatures were correlated with immune cell infiltration in both the high- and low-risk groups. In addition, based on the GSEA, several significant pathways were enriched in the high-risk PMGC group, such as the Wnt and transforming growth factor beta (TGF-β) signaling pathway and leukocyte transendothelial migration pathway. Furthermore, unsupervised cluster analysis showed that the model could distinguish the level of risk among patients with PMGC. Conclusions. Overall, 10 gene signatures were identified for PMGC risk prediction. These may be valuable in making clinical decisions to improve treatment outcomes in patients with PMGC.

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