Gene Expression Levels of Ferroptosis Suppressor Protein ( <i>FSP1</i> ) and Ferroptosis Inducer ( <i>ACSL4</i> ) and Their Correlation With Clinicopathological Features in Colorectal Cancer Patients

Background and Aim: in colorectal tumors. Methods: Thirty colorectal tumor tissues and thirty adjacent healthy tissues were subjected to gene expression study. Total RNA extraction from all tissues was completed and cDNA was synthesized from RNA. A qPCR was used for the gene expression analysis. Expression data were evaluated by SPSS software and the clinical importance of the genes was evaluated by ROC test. Results: using ROC test showed an area under the curve (AUC) of 0.78 (95% CI: 0.6143-0.9229), with a sensitivity of 80% and a specificity of 60% (95% CI: 0.4060-0.7734) and a cut-off of 1.3. Conclusion: has clinical potentials as a diagnostic biomarker in CRC.

Authors

Institutions

Publication Details

Journal
Health Science Reports
Published
2026-05-01
DOI
https://doi.org/10.1002/hsr2.72013
Primary Topic
Ferroptosis and cancer prognosis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gene Expression Levels of Ferroptosis Suppressor Protein ( FSP1 ) and Ferroptosis Inducer ( ACSL4 ) and Their Correlation With Clinicopathological Features in Colorectal Cancer Patients

Shahram Agah, Mohammad Taghi Goodarzi, Jafar Izadinia, Afsaneh Fardsanei et al.
Health Science Reports
Ferroptosis and cancer prognosis
article

Gene Expression Levels of Ferroptosis Suppressor Protein ( FSP1 ) and Ferroptosis Inducer ( ACSL4 ) and Their Correlation With Clinicopathological Features in Colorectal Cancer Patients

Shahram Agah, Mohammad Taghi Goodarzi, Jafar Izadinia, Afsaneh Fardsanei, Abolfazl Akbari
article en

Abstract

Background and Aim: in colorectal tumors. Methods: Thirty colorectal tumor tissues and thirty adjacent healthy tissues were subjected to gene expression study. Total RNA extraction from all tissues was completed and cDNA was synthesized from RNA. A qPCR was used for the gene expression analysis. Expression data were evaluated by SPSS software and the clinical importance of the genes was evaluated by ROC test. Results: using ROC test showed an area under the curve (AUC) of 0.78 (95% CI: 0.6143-0.9229), with a sensitivity of 80% and a specificity of 60% (95% CI: 0.4060-0.7734) and a cut-off of 1.3. Conclusion: has clinical potentials as a diagnostic biomarker in CRC.

Health Science ReportsVol. 9(5)
Iran University of Medical Sciences (IR), Islamic Azad University, Shahrood (IR)
Iran University of Medical Sciences
Openalex Percentile: Top 9%
Ferroptosis and cancer prognosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.