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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.
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http://dx.doi.org/10.2217/epi-2021-0080 | DOI Listing |
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 PDFWorld J Gastrointest Oncol
August 2025
Department of Radiology, First Hospital of Jiaxing, Jiaxing 314000, Zhejiang Province, China.
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 PDFBMC Med Imaging
July 2025
Department of Radiology, Aerospace Center Hospital, Beijing, China.
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.
World J Gastrointest Oncol
July 2025
Department of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, Shanxi Province, China.
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 PDFBMC Med Imaging
July 2025
Department of Radiology, First Affiliated Hospital of Dalian Medical University, No.222, Changchun Road, Xigang District, Dalian, Liaoning, 116011, P.R. China.
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).