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| 1 | Prognostic value of inflammation-based markers in patients with pancreatic cancer administered gemcitabine and erlotinib显示文摘AIM: To evaluate the value of systemic inflammationbased markers as prognostic factors for advanced pancreatic cancer(PC). METHODS: Data from 82 patients who underwent combination chemotherapy with gemcitabine and erlotinib for PC from 2011 to 2014 were collected retrospectively. Data that included the neutrophil-to-lymphocyte ratio(NLR), the platelet-to-lymphocyte ratio, and the C-reactive protein(CRP)-to-albumin(CRP/Alb) ratio were analyzed. Kaplan-Meier curves, and univariate and multivariate Cox proportional hazards regression analyses were used to identify the prognostic factors associated with progression-free survival(PFS) and overall survival(OS). RESULTS: The univariate analysis demonstrated the prognostic value of the NLR(P = 0.049) and the CRP/Alb ratio(P = 0.047) in relation to PFS, and a positiverelationship between an increase in inflammation-based markers and a poor prognosis in relation to OS. The multivariate analysis determined that an increased NLR(hazard ratio = 2.76, 95%CI: 1.33-5.75, P = 0.007) is an independent prognostic factor for poor OS. There was no association between the PLR and the patients' prognoses in those who had received chemotherapy that comprised gemcitabine and erlotinib in combination. The Kaplan-Meier method and the log-rank test determined significantly worse outcomes in relation to PFS and OS in patients with an NLR > 5 or a CRP/Alb ratio > 5.CONCLUSION: Systemic inflammation-based markers, including increases in the NLR and the CRP/Alb ratio, may be useful for predicting PC prognoses. | Jae Min Lee Hong Sik Lee Jong Jin Hyun Hyuk Soon Choi Eun Sun Kim Bora Keum Yeon Seok Seo Yoon Tae Jeen Hoon Jai Chun Soon Ho Um Chang Duck Kim | 2016 | World Journal of Gastrointestinal Oncology2016，8，7： | 12 |
| 2 | Cytokinome profile evaluation in patients with hepatitis C virus infection显示文摘The‘‘omics sciences’’(genomics,transcriptomics,proteomics)are often used to study living organisms as a whole system by evaluating the complex expression patterns of genes,miRNA,proteins,and metabolites.This study aimed,through bioinformatics and systems biology,to decipher the cytokinome profile in the evolution of inflammatory processes leading to cancer.The cytokinome was defined as the totality of cytokines and their interactions in and around biological cells.The system biology approach would provide a better understanding of the complex interaction network of cytokines,especially in cancer patients.Acquired knowledge would enable health providers with tools to evaluate disease onset through progression as well as identifying innovative therapeutic strategies.Understanding the role each cytokine plays in the metabolic network is of great importance.This paper reviews our group’s‘‘omics’’work.In particular,it addresses the role cytokines play in liver disease in six different scenarios.The first is the role the cytokines play in chronic inflammatory diseases and cancers.The second is the significance of the cytokinome profile.The third is the role of liver cirrhosis as an inflammatory disease.The fourth is the comparison of cytokine levels evaluated in patients with chronic hepatitis C virus(HCV)or with HCV-related cirrhosis.The fifth is the comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of type 2 diabetes.And lastly,we present a comparison of cytokine levels evaluated in patients with HCV-related cirrhosis in the presence and absence of hepatocellular carcinoma. | Francesca Capone Eliana Guerriero Giovanni Colonna Patrizia Maio Alessandra Mangia Giuseppe Castello Susan Costantini | 2014 | World Journal of Gastroenterology2014，20，28： | 1 |
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