Dataset Information

Low lymphocyte count and high monocyte count predicts poor prognosis of gastric cancer.

ABSTRACT: BACKGROUND:Existing data about the prognostic value of absolute count of blood cells in gastric cancer was limited. Thus, the present study aims to investigate the prognostic value of absolute count of white blood cell (WBC), neutrophil, lymphocyte, monocyte and platelet in gastric cancer patients. METHODS:From September 2008 to March 2015, 3243 patients treated with radical gastrectomy were enrolled in the present study. Clinicopathological characteristics were recorded. The prognostic value of blood test in gastric cancer patients were analyzed. RESULTS:There were 2538 male and 705 female. The median age was 58 years (range 20-90). The median follow-up time was 24.9 months (range 1-75). The 1-, 3- and 5-year overall survival rate was 88.9%, 65.8% and 57.2%, respectively. The optimal cut off value was 6.19?×?109/L for WBC (P?=?0.146), 4.19?×?109/L for neutrophil (P?=?0.004), 1.72?×?109/L for lymphocyte (P?=?0.000), 0.51?×?109/L for monocyte (P?=?0.019) and 260.0?×?109/L for platelet (P?=?0.002), respectively. Neutrophil, lymphocyte, monocyte and platelet were risk factors for the prognosis of gastric cancer (all P?

SUBMITTER: Feng F

PROVIDER: S-EPMC6180580 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Low lymphocyte count and high monocyte count predicts poor prognosis of gastric cancer.

Feng Fan F Zheng Gaozan G Wang Qiao Q Liu Shushang S Liu Zhen Z Xu Guanghui G Wang Fei F Guo Man M Lian Xiao X Zhang Hongwei H

BMC gastroenterology 20181011 1

<h4>Background</h4>Existing data about the prognostic value of absolute count of blood cells in gastric cancer was limited. Thus, the present study aims to investigate the prognostic value of absolute count of white blood cell (WBC), neutrophil, lymphocyte, monocyte and platelet in gastric cancer patients.<h4>Methods</h4>From September 2008 to March 2015, 3243 patients treated with radical gastrectomy were enrolled in the present study. Clinicopathological characteristics were recorded. The prog ...[more]

PMID: 30305076

Similar Datasets

Project description:The switching/sucrose non-fermenting (SWI/SNF) chromatin remodeling complexes use the energy of ATP hydrolysis to remodel nucleosomes and modulate transcription, which plays an important role in tumors by regulating epigenetics. SWI/SNF Related, Matrix Associated, Actin Dependent Regulator of Chromatin, Subfamily C, Member 1 (SMARCC1) has dual roles in tumors but its role in gastric cancer remains unclear. This study was aimed to find the role of SMARCC1 in gastric cancer. SMARCC1 expression across various tumors from The Cancer Genome Atlas was analyzed using TIMER 2.0 (http://timer.comp-genomics.org/). SMARCC1 mRNA expression profiles in gastric cell lines and gastric tissues were compared with normal tissues and analyzed in the Cancer Cell Line Encyclopedia, Oncomine, and Gene Expression Omnibus databases. SMARCC1 mRNA and protein were then examined in fresh gastric cancer tissues and compared with adjacent normal tissues using quantitative real-time PCR, western blotting, and immunohistochemistry. Associations between SMARCC1 expression and clinicopathological factors, overall survival, and disease-free survival were further evaluated using 130 gastric cancer samples harvested from patients after radical total gastrectomy or subtotal gastrectomy at the Xiangya Hospital of Central South University (Changsha, China). SMARCC1 was frequently upregulated in gastric cancer cells and tissues. SMARCC1 overexpression was significantly associated with tumor size (P=0.002), differentiation (P=0.006), depth of invasion (P=0.001), lymph node involvement (P=0.016), and TNM stage (P=0.007). Furthermore, univariate and multivariate Cox analysis revealed that high SMARCC1 expression, depth invasion, lymph node involvement, and TNM stage were independent risk factors for both overall and disease-free survival in gastric cancer patients (all P<0.05). Kaplan-Meier survival analysis revealed that high SMARCC1 expression predicted poor prognosis in gastric cancer patients (P<0.01). High SMARCC1 expression contributes to poor prognosis in gastric cancer patients. SMARCC1 may be a prognostic biomarker and therapeutic target in gastric cancer.

Project description:BackgroundThe presence of peripheral inflammatory cells has been linked to the prognosis of cancer. This study aims to investigate the distinct roles of absolute neutrophil count (ANC) and absolute monocyte count (AMC) in differentiating renal cell carcinoma (RCC) from renal angiomyolipoma (RAML), as well as their prognostic significance in RCC.MethodsWe conducted a comprehensive analysis of peripheral immune cell data, clinicopathological data, and tumor characteristics in patients diagnosed with RCC or RAML from January 2015 to December 2021. Receiver operating characteristic (ROC) curves, as well as univariate and multivariate analyses, were employed to assess the diagnostic utility of AMC and ANC in differentiating between RCC and RAML. Kaplan-Meier curve analysis was used to study the survival of RCC patients with different AMC and ANC. The prognostic value of AMC and ANC in RCC was investigated using COX univariate and multivariate analysis. The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used for bioinformatic correlation analysis.ResultsA total of 1120 eligible patients were included in the study. The mean preoperative AMC and ANC in patients with RCC were found to be significantly higher compared to those in patients with RAML (P = 0.001 and P < 0.001, respectively). High preoperative AMC and ANC significantly correlated with smoking history, tumor length, gross hematuria, and high T Stage, N stage, and pathological grade. In multivariate analyses, an ANC> 3.205 *10^9/L was identified to be independently associated with the presence of RCC (HR = 1.618, P = 0.008). High AMC and ANC were significantly associated with reduced OS and PFS (P < 0.05), and ANC may be an independent prognostic factor. Public database analysis showed that signature genes of tumor-associated macrophages (TAMs) and tumor-associated neutrophils (TANs) were highly expressed in ccRCC.ConclusionsElevated preoperative ANC and AMC can distinguish RCC from RAML and predict poor prognosis in patients with RCC. Furthermore, the signature genes of TAMs and TANs exhibit high expression levels in clear cell RCC.

Dataset Information

Low lymphocyte count and high monocyte count predicts poor prognosis of gastric cancer.

Publications

Low lymphocyte count and high monocyte count predicts poor prognosis of gastric cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets