Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

This study aimed to validate a combination of , and CA724 for gastric cancer (GC) detection. The performance of , and CA724 was examined in a prospective cohort study with 518 participants (151 with GC, 56 with atrophic gastritis, 87 with other gastrointestinal diseases and 224 with no evidence of disease). , or CA724 alone detected 48.3, 37.1 and 43.1% of GC, respectively. The combination of and detected 60.3% of GC, and the combination of all three markers detected 68.6% of GC. The detection sensitivity of and was significantly higher for gastric body and in elder subjects. was correlated with poorer GC survival. The combination of , and CA724 was adequately sensitive for GC detection. The blood was predictive for GC prognosis.

Download full-text PDF

Source
http://dx.doi.org/10.2217/epi-2021-0080DOI Listing

Publication Analysis

Top Keywords

combination ca724
8
combination
5
combination methylation
4
methylation protein
4
protein markers
4
markers capable
4
capable detecting
4
detecting gastric
4
gastric cancer detection
4
cancer detection combined
4

Similar Publications

Serum STARD4-AS1 As a Novel Marker for Gastric Cancer Diagnosis and Promotes Gastric Cancer Progression.

Clin Transl Gastroenterol

September 2025

Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong 226001, China.

Background: Gastric cancer (GC) is a lethal malignant tumor necessitating high-sensitivity detection to improve diagnostic accuracy and the prognosis of patients. Alterations in long noncoding RNAs can influence cancer progression through various mechanisms. Our study tried to explore the potential of STARD4-AS1 as a GC biomarker and its mechanism of action in GC development.

View Article and Find Full Text PDF

Background: Rectal cancer is one of the common digestive system malignant tumors around the world. Its early diagnosis and staging are crucial for rectal cancer treatment and prognosis. In recent years, tumor markers have gradually received attention in early screening, treatment monitoring and prognostic evaluation of cancer, but their predictive role in rectal cancer staging and differentiation is still unclear.

View Article and Find Full Text PDF

Objective: This study aimed to develop an interpretable machine learning model integrating delayed-phase contrast-enhanced CT radiomics with clinical features for noninvasive prediction of pathological grading in appendiceal pseudomyxoma peritonei (PMP), using Shapley Additive Explanations (SHAP) for model interpretation.

Materials And Methods: This retrospective study analyzed 158 pathologically confirmed PMP cases (85 low-grade, 73 high-grade) from January 4, 2015 to April 30, 2024. Comprehensive clinical data including demographic characteristics, serum tumor markers (CEA, CA19-9, CA125, D-dimer, CA-724, CA-242), and CT-peritoneal cancer index (CT-PCI) were collected.

View Article and Find Full Text PDF

Background: Gastric cancer (GC) is an aggressive malignancy of the gastrointestinal tract characterized by high recurrence rates following radical gastrectomy. To enhance treatment efficacy, reduce recurrence, and improve patient survival, adjuvant chemotherapy is commonly administered based on established postoperative guidelines. Despite advancements in chemotherapy delivery, the overall response rate remains below 50%, primarily due to the lack of targeted therapies tailored to specific patient populations.

View Article and Find Full Text PDF

Objective: To explore the efficacy of quantitative measurements of temporal changes in CT-based spatial habitat to predict pathological responses after neoadjuvant chemotherapy (NAC) in patients with locally advanced gastric cancer (LAGC).

Methods: This retrospective study included 68 LAGC patients who underwent NAC followed by radical gastrectomy. Patients were stratified into a good response (GR) group or a poor response (PR) group based on tumor regression grading (TRG).

View Article and Find Full Text PDF