Background: To explore whether combined detection of serum tumor markers (CEA, CA72-4, CA19-9 and TSGF) improve the sensitivity and accuracy in the diagnosis of gastric cancer (GC).

Materials And Methods: An automatic chemiluminescence immune analyzer with matched kits were used to determine the levels of serum CEA, CA72-4, CA19-9 and TSGF in 45 patients with gastric cancer (GC group), 40 patients with gastric benign diseases (GBD group) hospitalized in the same period and 30 healthy people undergoing a physical examination. The values of those 4 tumor markers in the diagnosis of gastric cancer was analyzed.

Results: The levels of serum CEA, CA72-4, CA19-9 and TSGF of the GC group were higher than those of the GBD group and healthy examined people and the differences were significant (P<0.001). The area under receiver operating characteristic (ROC) curves for single detection of CEA, CA72-4, CA19-9 and TSGF in the diagnosis of GC was 0.833, 0.805, 0.810 and 0.839, respectively. The optimal cutoff values for these 4 indices were 2.36 ng/mL, 3.06 U/mL, 5.72 U/ mL and 60.7 U/mL, respectively. With combined detection of tumor markers, the diagnostic power of those 4 indices was best, with an area under the ROC curve of 0.913 (95%CI 0.866~0.985), a sensitivity of 88.9% and a diagnostic accuracy of 90.4%.

Conclusions: Combined detection of serum CEA, CA72-4, CA19-9 and TSGF increases the sensitivity and accuracy in diagnosis of GC, so it can be regarded as the important means for early diagnosis.

Download full-text PDF

Source
http://dx.doi.org/10.7314/apjcp.2015.16.9.3867DOI Listing

Publication Analysis

Top Keywords

cea ca72-4
16
ca72-4 ca19-9
16
ca19-9 tsgf
16
gastric cancer
16
serum cea
12
diagnosis gastric
12
combined detection
8
detection serum
8
tumor markers
8
levels serum
8

Similar Publications

Prognostic impact and reasons for variability by tumor location in gastric cancer.

World J Gastroenterol

November 2024

Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou 310022, Zhejiang Province, China.

Background: Gastric cancer (GC) is a highly prevalent gastrointestinal tract tumor. Several trials have demonstrated that the location of GC can affect patient prognosis. However, the factors determining tumor location remain unclear.

View Article and Find Full Text PDF

A novel prediction model for the prognosis of non-small cell lung cancer with clinical routine laboratory indicators: a machine learning approach.

BMC Med Inform Decis Mak

November 2024

Clinical Medical Center of Oncology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200071, China.

Background: Lung cancer is characterized by high morbidity and mortality due to the lack of practical early diagnostic and prognostic tools. The present study uses machine learning algorithms to construct a clinical predictive model for non-small cell lung cancer (NSCLC) patients.

Methods: Laboratory indices of the NSCLC patients at their initial visit were collected for quality control and exploratory analysis.

View Article and Find Full Text PDF

Background: Gastric cancer (GC) is a prevalent malignant tumor of the digestive system, characterized by a poor prognosis and high recurrence rate. Perineural invasion (PNI), the neoplastic infiltration of nerves, is a significant predictor of survival outcome in GC. Accurate preoperative identification of PNI could facilitate patient stratification and optimal preoperative treatment.

View Article and Find Full Text PDF

Serum tumor markers (carcinoembryonic antigen, carbohydrate antigen 19-9, carbohydrate antigen 72-4, carbohydrate antigen 24-2, ferritin) and gastric cancer prognosis correlation.

World J Gastrointest Surg

September 2024

Department of Clinical Laboratory, Huangshi Central Hospital (Affiliated Hospital of Hubei Polytechnic University), Hubei Key Laboratory of Kidney Disease Pathogenesis and Intervention, Huangshi Tumor Molecular Diagnosis and Treatment Key Laboratory, Huangshi 435000, Hubei Province, China.

Background: Gastric cancer is a kind of malignant tumor which is prevalent all over the world. Although some progress has been made in the treatment of gastric cancer, its prognosis is still not optimistic, so it is of great significance to find reliable prognostic indicators to guide the treatment and management of patients with gastric cancer.

Aim: To explore the relationship between serum levels of five biomarkers [carcinoembryonic antigen (CEA), carbohydrate antigen (CA) 19-9, CA72-4, CA24-2, and ferritin] and prognosis in patients with gastric cancer.

View Article and Find Full Text PDF
Article Synopsis
  • Advanced gastric cancer (AGC) has a poor prognosis, but combining oxaliplatin and trastuzumab shows potential for improving treatment outcomes by targeting both tumor markers and T lymphocyte subsets.
  • In a study with 60 AGC patients, the combination therapy led to significant reductions in serum tumor markers (CEA, CA19-9, CA72-4) and increased levels of CD3+ and CD4+ T lymphocytes after six treatment cycles.
  • Patients demonstrating a substantial decrease in tumor markers and an increase in the CD4+/CD8+ T cell ratio had better clinical responses, indicating the potential of these factors as predictive biomarkers for treatment efficacy.
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!