Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome
BackgroundEpithelial ovarian cancer (EOC) is a cancer that affects the female reproductive system and is highly lethal. It poses significant challenges in terms of treatment and often has a poor prognosis. In recent years, with the advent of PARPi, the treatment of ovarian cancer has entered a new s...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Pharmacology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphar.2025.1500251/full |
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| author | Jingfang Wang Wenrui Zhu Xia Li Yuanyuan Wu Wenhui Ma Yangzhou Wang Weihong Zhao Fang Wei Wenhao Wang |
| author_facet | Jingfang Wang Wenrui Zhu Xia Li Yuanyuan Wu Wenhui Ma Yangzhou Wang Weihong Zhao Fang Wei Wenhao Wang |
| author_sort | Jingfang Wang |
| collection | DOAJ |
| description | BackgroundEpithelial ovarian cancer (EOC) is a cancer that affects the female reproductive system and is highly lethal. It poses significant challenges in terms of treatment and often has a poor prognosis. In recent years, with the advent of PARPi, the treatment of ovarian cancer has entered a new stage of full-process management. Although more and more drugs have been approved, the therapeutic effect of PARPi is still very limited. With the rapid development of PD-1/PD-L1, CTLA-4, oncolytic viruses, cancer vaccines, adoptive cell therapy, etc., tumor immunotherapy has provided new opportunities for the treatment of ovarian cancer.MethodsThis study used comprehensive transcriptome analysis across multiple databases to gather gene transcripts and clinical features of normal ovarian samples and tissue samples from ovarian cancer. The aim was to explore the mechanisms underlying tumor immunotherapy resistance and to reveal the relationship between ovarian cancer’s immune microenvironment and genes linked to inflammation. Various R packages were used for differential gene analysis, enrichment analysis, co-expression network construction, and prognostic model building.ResultsIt has been found that the prognosis of ovarian cancer patients is closely associated with sets of genes involved in inflammation. The immune infiltration microenvironment, clinicopathological features, and survival rates differed significantly between two inflammatory gene expression patterns identified using cluster and immune microenvironment analyses. Further analysis revealed that the high-risk group had a higher abundance of M2-type macrophage infiltration, more active anti-tumor immune response, higher tumor stemness score, potentially worse prognosis, and lower response rates to multiple chemotherapy drugs and immune checkpoint inhibitors.ConclusionThese findings provide new perspectives and potential targets for immunotherapy and prognostic evaluation of ovarian cancer and offer new strategies and directions for clinical treatment and patient management. This study provides crucial information to further our comprehension of drug response mechanisms and tumor immunotherapy. It offers new strategies and methods for the treatment and prognostic improvement of ovarian cancer. |
| format | Article |
| id | doaj-art-01ae4f3db9a1453896b8156f5822441e |
| institution | Kabale University |
| issn | 1663-9812 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Pharmacology |
| spelling | doaj-art-01ae4f3db9a1453896b8156f5822441e2025-02-06T07:09:51ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-02-011610.3389/fphar.2025.15002511500251Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcomeJingfang Wang0Wenrui Zhu1Xia Li2Yuanyuan Wu3Wenhui Ma4Yangzhou Wang5Weihong Zhao6Fang Wei7Wenhao Wang8Department of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Stomatology, Changzhi Medical College, Changzhi, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaDepartment of Obstetrics and Gynecology, Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, ChinaBackgroundEpithelial ovarian cancer (EOC) is a cancer that affects the female reproductive system and is highly lethal. It poses significant challenges in terms of treatment and often has a poor prognosis. In recent years, with the advent of PARPi, the treatment of ovarian cancer has entered a new stage of full-process management. Although more and more drugs have been approved, the therapeutic effect of PARPi is still very limited. With the rapid development of PD-1/PD-L1, CTLA-4, oncolytic viruses, cancer vaccines, adoptive cell therapy, etc., tumor immunotherapy has provided new opportunities for the treatment of ovarian cancer.MethodsThis study used comprehensive transcriptome analysis across multiple databases to gather gene transcripts and clinical features of normal ovarian samples and tissue samples from ovarian cancer. The aim was to explore the mechanisms underlying tumor immunotherapy resistance and to reveal the relationship between ovarian cancer’s immune microenvironment and genes linked to inflammation. Various R packages were used for differential gene analysis, enrichment analysis, co-expression network construction, and prognostic model building.ResultsIt has been found that the prognosis of ovarian cancer patients is closely associated with sets of genes involved in inflammation. The immune infiltration microenvironment, clinicopathological features, and survival rates differed significantly between two inflammatory gene expression patterns identified using cluster and immune microenvironment analyses. Further analysis revealed that the high-risk group had a higher abundance of M2-type macrophage infiltration, more active anti-tumor immune response, higher tumor stemness score, potentially worse prognosis, and lower response rates to multiple chemotherapy drugs and immune checkpoint inhibitors.ConclusionThese findings provide new perspectives and potential targets for immunotherapy and prognostic evaluation of ovarian cancer and offer new strategies and directions for clinical treatment and patient management. This study provides crucial information to further our comprehension of drug response mechanisms and tumor immunotherapy. It offers new strategies and methods for the treatment and prognostic improvement of ovarian cancer.https://www.frontiersin.org/articles/10.3389/fphar.2025.1500251/fullepithelial ovarian cancertumor immunotherapytumor immune microenvironmentcancer prognosis modeltumor-associated macrophages (TAM) |
| spellingShingle | Jingfang Wang Wenrui Zhu Xia Li Yuanyuan Wu Wenhui Ma Yangzhou Wang Weihong Zhao Fang Wei Wenhao Wang Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome Frontiers in Pharmacology epithelial ovarian cancer tumor immunotherapy tumor immune microenvironment cancer prognosis model tumor-associated macrophages (TAM) |
| title | Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome |
| title_full | Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome |
| title_fullStr | Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome |
| title_full_unstemmed | Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome |
| title_short | Transcriptome analysis of ovarian cancer uncovers association between tumor-related inflammation/immunity and patient outcome |
| title_sort | transcriptome analysis of ovarian cancer uncovers association between tumor related inflammation immunity and patient outcome |
| topic | epithelial ovarian cancer tumor immunotherapy tumor immune microenvironment cancer prognosis model tumor-associated macrophages (TAM) |
| url | https://www.frontiersin.org/articles/10.3389/fphar.2025.1500251/full |
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