Expression and clinical value of EIF3CL in serous ovarian cancer

ObjectivesThis study aimed to explore the expression of eukaryotic translation initiation factor 3 subunit C-like in serous ovarian cancer samples (both paraffin-embedded and fresh samples) and evaluate its clinical value in patients with serous ovarian cancer.MethodsTwenty-five fresh serous ovarian cancer tissues and their paired paratumor tissues were subjected to reverse transcription-quantitative polymerase chain reaction assay to detect eukaryotic translation initiation factor 3 subunit C-like messenger RNA expression. In addition, 135 paraffin-embedded serous ovarian cancer samples and 36 paratumor samples were assessed for eukaryotic translation initiation factor 3 subunit C-like protein expression using immunohistochemistry.ResultsBoth protein and messenger RNA expression levels of eukaryotic translation initiation factor 3 subunit C-like were higher in serous ovarian cancer samples than in paratumor samples, and its high expression was associated with poor overall survival in patients with serous ovarian cancer. In addition, multivariate Cox regression analysis showed that high expression of eukaryotic translation initiation factor 3 subunit C-like was an independent poor prognostic factor for patients with serous ovarian cancer.ConclusionsEukaryotic translation initiation factor 3 subunit C-like is upregulated in serous ovarian cancer samples, and it may be recommended as a useful poor prognostic biomarker in patients with serous ovarian cancer.

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Publication Details

Journal
Journal of International Medical Research
Published
2025-05-01
DOI
https://doi.org/10.1177/03000605251340320
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.00

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article

Expression and clinical value of EIF3CL in serous ovarian cancer

Jilong Yao, Longyang Liu, Tingting Li, Qian Qiao et al.
Journal of International Medical Research
Cancer-related molecular mechanisms research
article

Expression and clinical value of EIF3CL in serous ovarian cancer

Jilong Yao, Longyang Liu, Tingting Li, Qian Qiao, Jianhuan Yuan, Zhongqiu Lin, Zhaoyang Zeng
article en

Abstract

ObjectivesThis study aimed to explore the expression of eukaryotic translation initiation factor 3 subunit C-like in serous ovarian cancer samples (both paraffin-embedded and fresh samples) and evaluate its clinical value in patients with serous ovarian cancer.MethodsTwenty-five fresh serous ovarian cancer tissues and their paired paratumor tissues were subjected to reverse transcription-quantitative polymerase chain reaction assay to detect eukaryotic translation initiation factor 3 subunit C-like messenger RNA expression. In addition, 135 paraffin-embedded serous ovarian cancer samples and 36 paratumor samples were assessed for eukaryotic translation initiation factor 3 subunit C-like protein expression using immunohistochemistry.ResultsBoth protein and messenger RNA expression levels of eukaryotic translation initiation factor 3 subunit C-like were higher in serous ovarian cancer samples than in paratumor samples, and its high expression was associated with poor overall survival in patients with serous ovarian cancer. In addition, multivariate Cox regression analysis showed that high expression of eukaryotic translation initiation factor 3 subunit C-like was an independent poor prognostic factor for patients with serous ovarian cancer.ConclusionsEukaryotic translation initiation factor 3 subunit C-like is upregulated in serous ovarian cancer samples, and it may be recommended as a useful poor prognostic biomarker in patients with serous ovarian cancer.

Journal of International Medical ResearchVol. 53(5)
Sun Yat-sen University (CN), Guangdong Medical College (CN), Sun Yat-sen Memorial Hospital (CN), Nanfang Hospital (CN), Shenzhen Maternity and Child Healthcare Hospital (CN), TCM-Intigrated Cancer Center of Southern Medical University (CN), Southern Medical University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Good health and well-being
Openalex Percentile: Top 84%
Cancer-related molecular mechanisms research
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