Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors
Background: Ferroptosis has been identified as a potent predictor of cancer prognosis. Currently, cervical cancer ranks among the most prevalent malignant tumors in women. Enhancing the prognosis for patients experiencing metastasis or recurrence is of critical importance. Consequently, investigatin...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-04-01
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| Series: | Frontiers in Molecular Biosciences |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2023.1188027/full |
| _version_ | 1797837824565706752 |
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| author | Songtao Han Songtao Han Senyu Wang Senyu Wang Senyu Wang Xiang Lv Dan Li Yangchun Feng Yangchun Feng |
| author_facet | Songtao Han Songtao Han Senyu Wang Senyu Wang Senyu Wang Xiang Lv Dan Li Yangchun Feng Yangchun Feng |
| author_sort | Songtao Han |
| collection | DOAJ |
| description | Background: Ferroptosis has been identified as a potent predictor of cancer prognosis. Currently, cervical cancer ranks among the most prevalent malignant tumors in women. Enhancing the prognosis for patients experiencing metastasis or recurrence is of critical importance. Consequently, investigating the potential of ferroptosis-related genes (FRGs) as prognostic biomarkers for cervical cancer patients is essential.Methods: In this study, 52 FRGs were obtained from the GSE9750, GSE7410, GSE63514, and FerrDb databases. Six genes possessing prognostic characteristics were identified: JUN, TSC22D3, SLC11A2, DDIT4, DUOX1, and HELLS. The multivariate Cox regression analysis was employed to establish and validate the prognostic model, while simultaneously performing a correlation analysis of the immune microenvironment.Results: The prediction model was validated using TCGA-CESC and GSE44001 datasets. Furthermore, the prognostic model was validated in endometrial cancer and ovarian serous cystadenocarcinoma cases. KM curves revealed significant differences in OS between high-risk and low-risk groups. ROC curves demonstrated the stability and accuracy of the prognostic model established in this study. Concurrently, the research identified a higher proportion of immune cells in patients within the low-risk group. Additionally, the expression of immune checkpoints (TIGIT, CTLA4, BTLA, CD27, and CD28) was elevated in the low-risk group. Ultimately, 4 FRGs in cervical cancer were corroborated through qRT-PCR.Conclusion: The FRGs prognostic model for cervical cancer not only exhibits robust stability and accuracy in predicting the prognosis of cervical cancer patients but also demonstrates considerable prognostic value in other gynecological tumors. |
| first_indexed | 2024-04-09T15:31:58Z |
| format | Article |
| id | doaj.art-2419cf8c764749298f4b7ca1d4854820 |
| institution | Directory Open Access Journal |
| issn | 2296-889X |
| language | English |
| last_indexed | 2024-04-09T15:31:58Z |
| publishDate | 2023-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Molecular Biosciences |
| spelling | doaj.art-2419cf8c764749298f4b7ca1d48548202023-04-28T05:34:56ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2023-04-011010.3389/fmolb.2023.11880271188027Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumorsSongtao Han0Songtao Han1Senyu Wang2Senyu Wang3Senyu Wang4Xiang Lv5Dan Li6Yangchun Feng7Yangchun Feng8Xinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaClinical Laboratory Center, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Ürümqi, ChinaXinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaDepartment of Laboratory Medicine, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaDepartment of Laboratory Medicine, Second Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaDepartment of Laboratory Medicine, Jianyang People’s Hospital, Chengdu, ChinaDepartment of Encephalopathy, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Ürümqi, ChinaXinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaDepartment of Laboratory Medicine, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, ChinaBackground: Ferroptosis has been identified as a potent predictor of cancer prognosis. Currently, cervical cancer ranks among the most prevalent malignant tumors in women. Enhancing the prognosis for patients experiencing metastasis or recurrence is of critical importance. Consequently, investigating the potential of ferroptosis-related genes (FRGs) as prognostic biomarkers for cervical cancer patients is essential.Methods: In this study, 52 FRGs were obtained from the GSE9750, GSE7410, GSE63514, and FerrDb databases. Six genes possessing prognostic characteristics were identified: JUN, TSC22D3, SLC11A2, DDIT4, DUOX1, and HELLS. The multivariate Cox regression analysis was employed to establish and validate the prognostic model, while simultaneously performing a correlation analysis of the immune microenvironment.Results: The prediction model was validated using TCGA-CESC and GSE44001 datasets. Furthermore, the prognostic model was validated in endometrial cancer and ovarian serous cystadenocarcinoma cases. KM curves revealed significant differences in OS between high-risk and low-risk groups. ROC curves demonstrated the stability and accuracy of the prognostic model established in this study. Concurrently, the research identified a higher proportion of immune cells in patients within the low-risk group. Additionally, the expression of immune checkpoints (TIGIT, CTLA4, BTLA, CD27, and CD28) was elevated in the low-risk group. Ultimately, 4 FRGs in cervical cancer were corroborated through qRT-PCR.Conclusion: The FRGs prognostic model for cervical cancer not only exhibits robust stability and accuracy in predicting the prognosis of cervical cancer patients but also demonstrates considerable prognostic value in other gynecological tumors.https://www.frontiersin.org/articles/10.3389/fmolb.2023.1188027/fullcervical cancerferroptosisprognosis modelimmune checkpointgynecological tumors |
| spellingShingle | Songtao Han Songtao Han Senyu Wang Senyu Wang Senyu Wang Xiang Lv Dan Li Yangchun Feng Yangchun Feng Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors Frontiers in Molecular Biosciences cervical cancer ferroptosis prognosis model immune checkpoint gynecological tumors |
| title | Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| title_full | Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| title_fullStr | Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| title_full_unstemmed | Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| title_short | Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| title_sort | ferroptosis related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors |
| topic | cervical cancer ferroptosis prognosis model immune checkpoint gynecological tumors |
| url | https://www.frontiersin.org/articles/10.3389/fmolb.2023.1188027/full |
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