A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer
IntroductionOvarian cancer (OV) is a highly lethal gynecological malignancy with a poor prognosis. Lactate metabolism is crucial for tumor cell survival, proliferation, and immune evasion. Our study aims to investigate the role of lactate metabolism-related genes (LMRGs) in OV and their potential as...
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| Format: | Article |
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Frontiers Media S.A.
2024-03-01
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| Series: | Frontiers in Endocrinology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fendo.2024.1372413/full |
| _version_ | 1797266466096021504 |
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| author | Linhua Zhu Zhuoqun Lin Kai Wang Kai Wang Jiaxin Gu Xiaojing Chen Ruizhe Chen Lingfang Wang Xiaodong Cheng |
| author_facet | Linhua Zhu Zhuoqun Lin Kai Wang Kai Wang Jiaxin Gu Xiaojing Chen Ruizhe Chen Lingfang Wang Xiaodong Cheng |
| author_sort | Linhua Zhu |
| collection | DOAJ |
| description | IntroductionOvarian cancer (OV) is a highly lethal gynecological malignancy with a poor prognosis. Lactate metabolism is crucial for tumor cell survival, proliferation, and immune evasion. Our study aims to investigate the role of lactate metabolism-related genes (LMRGs) in OV and their potential as biomarkers for prognosis, immune microenvironment, and immunotherapy response.MethodsOvarian samples were collected from the TCGA cohort. And 12 lactate-related pathways were identified from the MsigDB database. Differentially expressed genes within these pathways were designated as LMRGs, which undergo unsupervised clustering to identify distinct clusters based on LMRGs. Subsequently, we assessed survival outcomes, immune cell infiltration levels, Hallmaker pathway activation patterns, and chemotaxis among different subtypes. After conducting additional unsupervised clustering based on differentially expressed genes (DEGs), significant differences in the expression of LMRGs between the two clusters were observed. The differentially expressed genes were subjected to subsequent functional enrichment analysis. Furthermore, we construct a model incorporating LMRGs. Subsequently, the lactate score for each tumor sample was calculated based on this model, facilitating the classification of samples into high and low groups according to their respective lactate scores. Distinct groups examined disparities in survival prognosis, copy number variation (CNV), single nucleotide variation (SNV), and immune infiltration. The lactate score served as a quantitative measure of OV's lactate metabolism pattern and an independent prognostic factor.ResultsThis study investigated the potential role of LMRGs in tumor microenvironment diversity and prognosis in OV, suggesting that LMRGs play a crucial role in OV progression and the tumor microenvironment, thus serving as novel indicators for prognosis, immune microenvironment status, and response to immunotherapy. |
| first_indexed | 2024-04-25T01:01:08Z |
| format | Article |
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| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-04-25T01:01:08Z |
| publishDate | 2024-03-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Endocrinology |
| spelling | doaj.art-f4d289a04df44eb48c08697c279c51b22024-03-11T04:38:47ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922024-03-011510.3389/fendo.2024.13724131372413A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancerLinhua Zhu0Zhuoqun Lin1Kai Wang2Kai Wang3Jiaxin Gu4Xiaojing Chen5Ruizhe Chen6Lingfang Wang7Xiaodong Cheng8Department of Obstetrics, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Obstetrics and Gynecology, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaDepartment of Gynecologic Oncology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, ChinaIntroductionOvarian cancer (OV) is a highly lethal gynecological malignancy with a poor prognosis. Lactate metabolism is crucial for tumor cell survival, proliferation, and immune evasion. Our study aims to investigate the role of lactate metabolism-related genes (LMRGs) in OV and their potential as biomarkers for prognosis, immune microenvironment, and immunotherapy response.MethodsOvarian samples were collected from the TCGA cohort. And 12 lactate-related pathways were identified from the MsigDB database. Differentially expressed genes within these pathways were designated as LMRGs, which undergo unsupervised clustering to identify distinct clusters based on LMRGs. Subsequently, we assessed survival outcomes, immune cell infiltration levels, Hallmaker pathway activation patterns, and chemotaxis among different subtypes. After conducting additional unsupervised clustering based on differentially expressed genes (DEGs), significant differences in the expression of LMRGs between the two clusters were observed. The differentially expressed genes were subjected to subsequent functional enrichment analysis. Furthermore, we construct a model incorporating LMRGs. Subsequently, the lactate score for each tumor sample was calculated based on this model, facilitating the classification of samples into high and low groups according to their respective lactate scores. Distinct groups examined disparities in survival prognosis, copy number variation (CNV), single nucleotide variation (SNV), and immune infiltration. The lactate score served as a quantitative measure of OV's lactate metabolism pattern and an independent prognostic factor.ResultsThis study investigated the potential role of LMRGs in tumor microenvironment diversity and prognosis in OV, suggesting that LMRGs play a crucial role in OV progression and the tumor microenvironment, thus serving as novel indicators for prognosis, immune microenvironment status, and response to immunotherapy.https://www.frontiersin.org/articles/10.3389/fendo.2024.1372413/fullovarian cancermetabolismlactateimmune microenvironmentprognostic signature |
| spellingShingle | Linhua Zhu Zhuoqun Lin Kai Wang Kai Wang Jiaxin Gu Xiaojing Chen Ruizhe Chen Lingfang Wang Xiaodong Cheng A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer Frontiers in Endocrinology ovarian cancer metabolism lactate immune microenvironment prognostic signature |
| title | A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| title_full | A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| title_fullStr | A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| title_full_unstemmed | A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| title_short | A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| title_sort | lactate metabolism related signature predicting patient prognosis and immune microenvironment in ovarian cancer |
| topic | ovarian cancer metabolism lactate immune microenvironment prognostic signature |
| url | https://www.frontiersin.org/articles/10.3389/fendo.2024.1372413/full |
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