Background: Multimodality therapy has been used in the management of gastric cancer associated with locoregional spread. However, the accurate clinical staging still remains to be established. The neutrophil/lymphocyte ratio (NLR) in the peripheral blood is reported to be an easily assessable prognostic factor in cancer patients. We evaluated the predictive significance of the NLR and other serological parameters in patients with wall-penetrating gastric cancer.
Methods: Two hundred sixty-two patients who underwent gastric cancer surgery between 2002 and 2005 were identified retrospectively. Wall penetration was defined as wall invasion deeper than the muscularis propria (≥ T2). Blood data were collected from routinely performed blood examinations before treatment and were analyzed with respect to T stage, nodal status, and histological features. A high NLR was defined as less than 3.2 based on ROC curve analysis, and the predictive value of a high NLR for T4 cancer was evaluated.
Results: Elevated levels of NLR (P = 0.004) and C-reactive protein (CRP) (P = 0.017) and the decrease in lymphocyte count (Lym, P = 0.032) and serum hemoglobin (Hb, P < 0.001) were correlated with the T stage, but there was no meaningful correlation with either positive nodal status or histological differentiation. With respect to the predictive value for stage T4, an elevated NLR (OR = 2.206, 95% CI = 1.187-4.100; P = 0.012), decrease of Hb (OR = 1.875, 95% CI = 1.005-3.500; P = 0.048), and poorly differentiated histology (OR = 3.134, 95% CI = 1.593-6.167; P = 0.001) were identified as independent predictive factors.
Conclusion: Our findings suggest that the preoperative values of the NLR may be reliable for predicting T4 disease.
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http://dx.doi.org/10.1007/s00268-011-1269-2 | DOI Listing |
Gastric Cancer
January 2025
Department of Biochemistry and Molecular Biology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin, 300060, China.
Background: Gastroesophageal junction adenocarcinoma (GEJAC) exhibits distinct molecular characteristics due to its unique anatomical location. We sought to investigate effective and reliable molecular classification of GEJAC to guide personalized treatment.
Methods: We analyzed the whole genomic, transcriptomic, T-cell receptor repertoires, and immunohistochemical data in 92 GEJAC patients and delineated the landscape of genetic and immune alterations.
Nano Lett
January 2025
Key Laboratory of Clinical Laboratory Diagnostics (Chinese Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, P. R. China.
Logical analysis of multiple-miRNA expression information and immediate output of diagnostic results facilitates early cancer detection. In this work, we constructed an isothermal molecular classifier capable of performing computations on multiple miRNAs and directly providing diagnosis results. First, we developed linear-after-the-exponential rolling circle amplification (LATE-RCA), a nearly linear isothermal amplification that does not destroy the original quantitative information about miRNAs.
View Article and Find Full Text PDFObjectives: Endoscopic full-thickness resection for gastric submucosal tumors is gradually gaining popularity, and secure and amenable closure is key to its success. This study aimed to compare the reopenable clip over-the-line method with the purse-string method for defect closure after endoscopic full-thickness resection for gastric submucosal tumors.
Methods: This historical control trial included 37 consecutive patients with 37 gastric submucosal tumors, who underwent endoscopic full-thickness resection between January 2021 and July 2024.
Cancer Manag Res
January 2025
Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Introduction: Early diagnosis is crucial for improving the prognosis of patients with gastric cancer (GC). However, the currently used biomarkers for diagnosing GC have limited sensitivity and specificity. This study aimed to develop a novel diagnostic model based on miRNAs from glycosylated extracellular vesicles and evaluate its effectiveness in diagnosing gastric cancer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!