Background/aims: Identification of nutritional indicators to predict short-term and long-term outcomes is necessary to provide appropriate treatment to patients with gastric cancer.

Methods: We designed an analysis of a multicenter dataset of patients with gastric cancer who underwent gastrectomy between 2010 and 2014. We enrolled 842 eligible patients who had stage II/III gastric cancer. The area under the curve (AUC) values were compared among prognostic nutritional index (PNI), calculated as 10 × albumin g/dL + 0.005 × total lymphocyte count/mm3, and its constituents, and the predictive value of preoperative PNI for postoperative short-term and long-term outcomes was evaluated.

Results: Preoperative PNI exhibited higher AUC values (0.719) for 1-year survival than its constituents, and the optimal cutoff value was 47. The disease-free and overall survival of patients in the PNI-low group were significantly shorter compared with those in the PNI-high group. The prognostic difference between the PNI-high and PNI-low groups was significantly greater in the subgroup of patients who underwent total gastrectomy. Clinically relevant postoperative complications were more frequently observed in the PNI-low group.

Conclusions: The preoperative PNI is a useful predictor reflecting the incidence of complications after gastrectomy and the prognosis of patients with stage II/III gastric cancer.

Download full-text PDF

Source
http://dx.doi.org/10.1159/000497454DOI Listing

Publication Analysis

Top Keywords

gastric cancer
16
short-term long-term
12
long-term outcomes
12
patients stage
12
stage ii/iii
12
ii/iii gastric
12
preoperative pni
12
prognostic nutritional
8
patients gastric
8
auc values
8

Similar Publications

Background: The COVID-19 pandemic has overloaded healthcare systems worldwide. Other diseases, such as neoplasms, including gastric cancer, remained prevalent and had their treatment compromised.

Aims: The aim of this study was to evaluate the impact of the COVID-19 pandemic on the treatment of gastric cancer and adherence to the recommended preoperative COVID-19 screening protocol.

View Article and Find Full Text PDF

[Gastric cancer cases in Brazil and waiting times for diagnosis and treatment].

Cien Saude Colet

January 2025

Departamento de Epidemiologia e Métodos Quantitativos, Escola Nacional de Saúde Pública Sérgio Arouca, Fundação Oswaldo Cruz. Rio de Janeiro RJ Brasil.

The aim is to describe the sociodemographic and clinical-epidemiological profile of hospital cases of gastric cancer and to analyze factors associated with the Time-to-Treatment in Brazil. Exploratory study of sociodemographic and clinical-epidemiological characteristics of cases of gastric cancer. Time-to-Treatment were continuously estimated and then categorized into ≤ 60/> 60 days to estimate prevalence.

View Article and Find Full Text PDF

Purpose: Trophoblast cell-surface antigen 2 (Trop2) is overexpressed in various solid tumors and contributes to tumor progression, while its expression remains low in normal tissues. Trop2-targeting antibody-drug conjugate (ADC), sacituzumab govitecan-hziy (Trodelvy), has shown efficacy in targeting this antigen. Leveraging the enhanced specificity of ADCs, we conducted the first immunoPET imaging study of Trop2 expression in gastric cancer (GC) and triple-negative breast cancer (TNBC) models using Zr-labeled Trodelvy ([Zr]Zr-DFO-Trodelvy).

View Article and Find Full Text PDF

Background: Gastric cancer poses a major diagnostic and therapeutic challenge. Improved visualization of tumor margins and lymph node metastases with tumor-specific fluorescent markers could improve outcomes.

Methods: To establish orthotopic models of gastric cancer, one million cells of the human gastric cancer cell line, MKN45, were suspended in 50 μl of equal parts PBS and Matrigel and injected into the nude mouse stomach with a 29-gauge needle.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!