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Ramezani, Amin, Koohini, Zohreh, Haghshenas, Mohammad Reza, Tahmasebi, Ahmad, Shiravani, Zahra, Najib, Fatemeh Sadat, Aghdaki, Maryam, Dara, Mahntaj, Maghsoodi, Nafiseh, Ghaderi, Abbas. (1405). Bioinformatics Analysis and Experimental Assessment of RHEX and IKBKE in Endometrial Cancer. سامانه مدیریت نشریات علمی, (), -. doi: 10.30476/mejc.2025.109375.2367
Amin Ramezani; Zohreh Koohini; Mohammad Reza Haghshenas; Ahmad Tahmasebi; Zahra Shiravani; Fatemeh Sadat Najib; Maryam Aghdaki; Mahntaj Dara; Nafiseh Maghsoodi; Abbas Ghaderi. "Bioinformatics Analysis and Experimental Assessment of RHEX and IKBKE in Endometrial Cancer". سامانه مدیریت نشریات علمی, , , 1405, -. doi: 10.30476/mejc.2025.109375.2367
Ramezani, Amin, Koohini, Zohreh, Haghshenas, Mohammad Reza, Tahmasebi, Ahmad, Shiravani, Zahra, Najib, Fatemeh Sadat, Aghdaki, Maryam, Dara, Mahntaj, Maghsoodi, Nafiseh, Ghaderi, Abbas. (1405). 'Bioinformatics Analysis and Experimental Assessment of RHEX and IKBKE in Endometrial Cancer', سامانه مدیریت نشریات علمی, (), pp. -. doi: 10.30476/mejc.2025.109375.2367
Ramezani, Amin, Koohini, Zohreh, Haghshenas, Mohammad Reza, Tahmasebi, Ahmad, Shiravani, Zahra, Najib, Fatemeh Sadat, Aghdaki, Maryam, Dara, Mahntaj, Maghsoodi, Nafiseh, Ghaderi, Abbas. Bioinformatics Analysis and Experimental Assessment of RHEX and IKBKE in Endometrial Cancer. سامانه مدیریت نشریات علمی, 1405; (): -. doi: 10.30476/mejc.2025.109375.2367

Bioinformatics Analysis and Experimental Assessment of RHEX and IKBKE in Endometrial Cancer

Middle East Journal of Cancer
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 11 دی 1405    اصل مقاله (848.66 K)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/mejc.2025.109375.2367
نویسندگان
Amin Ramezani* 1؛ Zohreh Koohini2؛ Mohammad Reza Haghshenas3؛ Ahmad Tahmasebi4؛ Zahra Shiravani5؛ Fatemeh Sadat Najib5؛ Maryam Aghdaki5؛ Mahntaj Dara6؛ Nafiseh Maghsoodi7؛ Abbas Ghaderi3
1Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical
2Department of Immunology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
3Shiraz Institute for Cancer Research, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
4Institute of Biotechnology, Shiraz University, Shiraz, Iran
5Department of Obstetrics and Gynecology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
6Stem Cells Technology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
7Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
چکیده
Background: The mortality rate from endometrial cancer remains high despite advances in treatment. The five-year relative survival rate of advanced and metastatic patients is less than 10%. The present study aimed to evaluate selected molecular markers and their possible associations with disease characteristics and clinical outcomes in endometrial cancer.
 Methods: In this study, gene expression datasets of endometrial cancer and non-tumoral samples were obtained from The Cancer Genome Atlas (TCGA). To find effector genes associated with endometrial cancer, we used a feature selection technique based on the Random Forest–Recursive Feature Elimination algorithm. The reliability of the selected featured genes was determined using quantitative reverse transcription polymerase chain reaction (qRT-PCR). The data were analyzed using GraphPad Prism version 8.0. A P-value less than 0.05 was considered statistically significant, and a P-value of less than 0.05 was considered statistically significant.
 Results: Analytical focus on the TCGA dataset led to the identification of nine genes, SMIM22, RHEX, UHRF1, IKBKE, H3C10, FXYD1, MYZAP, GPIHBP1, and MMP28, of significance in endometrial cancer. These genes were overexpressed in the endometrial tissue of endometrial cancer compared with non-tumoral tissue. Two genes, RHEX and IKBKE, from the list of feature genes were prioritized for further analysis and qRT-PCR based on our criteria. Results from patient samples showed that both genes were upregulated compared with the non-tumoral group and exhibited increased expression with disease progression.
Conclusion: Our findings suggest that altered expression of RHEX and IKBKE may be linked to clinical features of endometrial cancer.

تازه های تحقیق

Zohreh Koohini (google scholar)

Amin Ramezani (google scholar)

کلیدواژه‌ها
Endometrial Neoplasms؛ Gene Expression Profiling؛ RHEX؛ NF-kappa B Kinase subunit Epsilon
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