Volume 9, Issue 1 (Spring 2026)
Iran J Health Insur 2026, 9(1): 49-58 |
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Effatpanah H, Sarlak D, Bahmanjeh A, Hossein Tehrani M J, Makraki E, mardani R. The Role of Bioinformatics in Identifying Cancer Biomarkers With Emphasis on Economic Consequences and Diagnostic and Therapeutic Management. Iran J Health Insur 2026; 9 (1) :49-58
URL: http://journal.ihio.gov.ir/article-1-416-en.html
URL: http://journal.ihio.gov.ir/article-1-416-en.html
Hossein Effatpanah1 
, Daniel Sarlak2 , Anahita Bahmanjeh2 , Mohammad Javad Hossein Tehrani3 , Eleftheria Makraki4 , Rajab Mardani *5
, Daniel Sarlak2 , Anahita Bahmanjeh2 , Mohammad Javad Hossein Tehrani3 , Eleftheria Makraki4 , Rajab Mardani *5
1- Department of Public Health, Asadabad School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
2- Viral Vaccines Group, Research and Production Complex of Pasteur Institute of Iran, Tehran, Iran
3- Clinical Biochemistry Group, Hamadan University of Medical Sciences, Hamadan, Iran
4- National and Kapodistrian University, Athens, Greece
5- Viral Vaccines Group, Research and Production Complex of Pasteur Institute of Iran, Tehran, Iran ,rajabmardani@yahoo.com
2- Viral Vaccines Group, Research and Production Complex of Pasteur Institute of Iran, Tehran, Iran
3- Clinical Biochemistry Group, Hamadan University of Medical Sciences, Hamadan, Iran
4- National and Kapodistrian University, Athens, Greece
5- Viral Vaccines Group, Research and Production Complex of Pasteur Institute of Iran, Tehran, Iran ,
Abstract: (536 Views)
Introduction: This study was designed to evaluate the performance of tumor biomarkers CA-125, PSA, HER2, AFP and NMP22 in the diagnosis, monitoring and prediction of response to cancer treatment as well as to analyze their economic impact on the health system.
Methods: Data from 1170 patients from different clinical studies were collected and analyzed with SPSS software. Sensitivity and specificity indices were calculated and supplemented with ROC curve analysis and bioinformatics methods. Independent t-tests, chi-square and ANOVA were used to compare groups.
Results: It had the highest diagnostic performance with 85% sensitivity and 90% specificity. HER2 was the most effective biomarker in terms of clinical and economic aspects with 78% improvement in targeted therapy and 40% reduction in treatment costs. Other biomarkers CA-125 with 62%, AFP with 72% and NMP22 with 65% improvement had a complementary role in the diagnosis and monitoring of the disease. Analysis of signaling pathways revealed that PI3K/AKT is a common pathway of CA-125 and NMP22 in treatment resistance.
Conclusion: The use of a multi-marker panel approach may increase diagnostic accuracy and improve clinical decision-making, and their inclusion in health insurance coverage packages is a cost-effective approach for the treatment system.
Methods: Data from 1170 patients from different clinical studies were collected and analyzed with SPSS software. Sensitivity and specificity indices were calculated and supplemented with ROC curve analysis and bioinformatics methods. Independent t-tests, chi-square and ANOVA were used to compare groups.
Results: It had the highest diagnostic performance with 85% sensitivity and 90% specificity. HER2 was the most effective biomarker in terms of clinical and economic aspects with 78% improvement in targeted therapy and 40% reduction in treatment costs. Other biomarkers CA-125 with 62%, AFP with 72% and NMP22 with 65% improvement had a complementary role in the diagnosis and monitoring of the disease. Analysis of signaling pathways revealed that PI3K/AKT is a common pathway of CA-125 and NMP22 in treatment resistance.
Conclusion: The use of a multi-marker panel approach may increase diagnostic accuracy and improve clinical decision-making, and their inclusion in health insurance coverage packages is a cost-effective approach for the treatment system.
Type of Study: Research |
Subject:
Special
Received: 2026/01/29 | Revised: 2026/08/23 | Accepted: 2026/05/6 | ePublished: 2026/08/23
Received: 2026/01/29 | Revised: 2026/08/23 | Accepted: 2026/05/6 | ePublished: 2026/08/23
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