Construction of Lipid Metabolism-Related Gene Prognostic Model and Immunoinfiltration Analysis of Ovarian Cancer

Xingfen WANG; Yue DENG; Lihua YANG

doi:10.12259/j.issn.2095-610X.S20240403

Volume 45 Issue 4

Apr. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Kunming Medical University > 2024 > 45(4): 17-25

Xingfen WANG, Yue DENG, Lihua YANG. Construction of Lipid Metabolism-Related Gene Prognostic Model and Immunoinfiltration Analysis of Ovarian Cancer[J]. Journal of Kunming Medical University, 2024, 45(4): 17-25. doi: 10.12259/j.issn.2095-610X.S20240403

Citation:

Xingfen WANG, Yue DENG, Lihua YANG. Construction of Lipid Metabolism-Related Gene Prognostic Model and Immunoinfiltration Analysis of Ovarian Cancer[J]. Journal of Kunming Medical University, 2024, 45(4): 17-25. doi: 10.12259/j.issn.2095-610X.S20240403

Citation:

PDF( 7441 KB)

Construction of Lipid Metabolism-Related Gene Prognostic Model and Immunoinfiltration Analysis of Ovarian Cancer

doi: 10.12259/j.issn.2095-610X.S20240403

Dept. of Gynecology，The 2nd Affiliated Hospital of Kunming Medical University，Kunming Yunnan 650101，China

Received Date: 2024-01-03
Available Online: 2024-04-07
Publish Date: 2024-04-29

Abstract

Abstract

Objective To construct a lipid metabolism-related prognostic model for ovarian cancer （OC）, and to investigate the role of lipid metabolism-related biomarkers and the degree of immune cell infiltration in prognosis prediction of OC. Methods Transcriptional data and clinical data of OC samples were downloaded from the TCGA database, and lipid metabolism-related genes （LMRGs） were obtained from the MSigDB database. The samples were randomly divided into training and validation sets at a 1∶1 ratio using the caret package. Univariate Cox analysis was used to identify LMRGs significantly associated with OC prognosis. LASSO-Cox analysis was performed to select model genes for building a prognostic model. The prognostic model was evaluated using Kaplan-Meier curves and receiver operating characteristic （ROC） curves, followed by internal validation using TCGA data. Finally, a column chart was constructed, and immune infiltration analysis was conducted using the CIBERSORT algorithm. Results An 8-gene prognostic model for ovarian cancer was established. Survival analysis showed significant differences in prognosis between the high-risk and low-risk groups （P < 0.05）. The AUC indicated that the model had moderate predictive efficacy. Multivariate Cox analysis demonstrated that LMrisk was an independent prognostic factor for ovarian cancer patients （P < 0.001）. Immune infiltration analysis revealed the association between LMrisk and immune response in ovarian cancer. Conclusion The prognostic model developed in this study can serve as a new tool for evaluating prognosis in ovarian cancer patients. LMrisk may be a robust prognostic biomarker with potential clinical application.
- Ovarian cancer,
- Lipid metabolism,
- Prognostic model,
- Immune cell infiltration

FullText(HTML)

References(28)

References

[1]	Chaudhry S,Thomas S N,Simmons Jr G E. Targeting lipid metabolism in the treatment of ovarian cancer[J]. Oncotarget,2022,13(3):768-783.
[2]	中国抗癌协会妇科肿瘤专业委员会. 卵巢恶性肿瘤诊断与治疗指南(2021年版)[J]. 中国癌症杂志,2021,31(6):490-500.
[3]	张秀,王静. 卵巢癌中的脂质代谢[J]. 肿瘤药学,2022,12(4):441-446. doi: 10.3969/j.issn.2095-1264.2022.04.05
[4]	Hanahan D,Weinberg R A. Hallmarks of cancer: The next generation[J]. Cell,2011,144(5):646-674. doi: 10.1016/j.cell.2011.02.013
[5]	Röhrig F,Schulze A. The multifaceted roles of fatty acid synthesis in cancer[J]. Nature Reviews Cancer,2016,16(11):732-749. doi: 10.1038/nrc.2016.89
[6]	Shang S,Liu J,Hua F. Protein acylation: Mechanisms,biological functions and therapeutic targets[J]. Signal Transduction and Targeted Therapy,2022,7(1):396. doi: 10.1038/s41392-022-01245-y
[7]	Koundouros N,Poulogiannis G. Reprogramming of fatty acid metabolism in cancer[J]. British Journal of Cancer,2020,122(1):4-22. doi: 10.1038/s41416-019-0650-z
[8]	Strickaert A,Saiselet M,Dom G,et al. Cancer heterogeneity is not compatible with one unique cancer cell metabolic map[J]. Oncogene,2017,36(19):2637-2642. doi: 10.1038/onc.2016.411
[9]	Kequan X,Peng X,Pan L,et al. A six lipid metabolism related gene signature for predicting the prognosis of hepatocellular carcinoma[J]. Scientific Reports,2022,12(1):20781. doi: 10.1038/s41598-022-25356-2
[10]	Zhu M,Zeng Q,Fan T,et al. Clinical significance and immunometabolism landscapes of a novel recurrence-associated lipid metabolism signature in early-stage lung adenocarcinoma: A comprehensive analysis[J]. Frontiers in Immunology,2022,13(1):909105.
[11]	Shen L,Huang H,Li J,et al. Exploration of prognosis and immunometabolism landscapes in ER+ breast cancer based on a novel lipid metabolism-related signature[J]. Frontiers in Immunology,2023,14(1):1199465.
[12]	Jin H,Xia B,Wang J,et al. A novel lipid metabolism and endoplasmic reticulum stress-related risk model for predicting immune infiltration and prognosis in colorectal cancer[J]. International Journal of Molecular Sciences,2023,24(18):13854. doi: 10.3390/ijms241813854
[13]	Zhang J,Wang H,Tian Y,et al. Discovery of a novel lipid metabolism-related gene signature to predict outcomes and the tumor immune microenvironment in gastric cancer by integrated analysis of single-cell and bulk RNA sequencing[J]. Lipids in Health and Disease,2023,22(1):212. doi: 10.1186/s12944-023-01977-y
[14]	Liu C,Xiao Z,Wu S,et al. Multi-cohort validation study of a four-gene signature for risk stratification and treatment response prediction in hepatocellular carcinoma[J]. Computers in Biology and Medicine,2023,167(11):107694.
[15]	Zheng M,Mullikin H,Hester A,et al. Development and validation of a novel 11-gene prognostic model for serous ovarian carcinomas based on lipid metabolism expression profile[J]. International Journal of Molecular Sciences,2020,21(23):9169. doi: 10.3390/ijms21239169
[16]	Wang X,Xie W,Zhao D,et al. Molecular subtypes of ovarian cancer based on lipid metabolism and glycolysis reveals potential therapeutic targets[J]. Frontiers in Bioscience-Landmark,2023,28(10):253. doi: 10.31083/j.fbl2810253
[17]	杨小航. 卵巢大细胞神经内分泌癌病例分析报告[D]. 济南: 山东大学, 2021.
[18]	Kimura N,Miura W,Noshiro T,et al. Plasma chromogranin A in pheochromocytoma,primary hyperparathyroidism and pituitary adenoma in comparison with catecholamine,parathyroid hormone and pituitary hormones[J]. Endocrine Journal,1997,44(2):319-327. doi: 10.1507/endocrj.44.319
[19]	Wu J T,Erickson A J,Tsao K C,et al. Elevated serum chromogranin A is detectable in patients with carcinomas at advanced disease stages[J]. Annals of Clinical & Laboratory Science,2000,30(2):175-178.
[20]	Slott C,Langer S W,Møller S,et al. Outlook for 615 small intestinal neuroendocrine tumor patients: Recurrence risk after surgery and disease-specific survival in advanced disease[J]. Cancers,2024,16(1):204. doi: 10.3390/cancers16010204
[21]	Zhang Y,Kong X,Xin S,et al. Discovery of lipid metabolism-related genes for predicting tumor immune microenvironment status and prognosis in prostate cancer[J]. Journal of Oncology,2022,15(1):8227806.
[22]	Zhu Y,Zhang R,Zhang Y,et al. NUDT21 promotes tumor growth and metastasis through modulating SGPP2 in human gastric cancer[J]. Frontiers in Oncology,2021,11(1):670353.
[23]	Wang S,Liu W,Ly D,et al. Tumor-infiltrating B cells: Their role and application in anti-tumor immunity in lung cancer[J]. Cellular & Molecular Immunology,2019,16(1):6-18.
[24]	Lei X,Lei Y,Li J K,et al. Immune cells within the tumor microenvironment: Biological functions and roles in cancer immunotherapy[J]. Cancer Letters,2020,470(4):126-133.
[25]	Lichterman J N,Reddy S M. Mast cells: A new frontier for cancer immunotherapy[J]. Cells,2021,10(6):1270. doi: 10.3390/cells10061270
[26]	Sulsenti R,Jachetti E. Frenemies in the microenvironment: Harnessing mast cells for cancer immunotherapy[J]. Pharmaceutics,2023,15(6):1692. doi: 10.3390/pharmaceutics15061692
[27]	骆洋,张青,张曙,等. 肥大细胞在实体瘤中的作用及机制[J]. 中国临床研究,2024,37(1):6-11.
[28]	Zhang X,Ji L,Li M O. Control of tumor-associated macrophage responses by nutrient acquisition and metabolism[J]. Immunity,2023,56(1):14-31. doi: 10.1016/j.immuni.2022.12.003

Relative Articles(20)

Relative Articles

[1]	Yijun AN, Lidan YU, Meisu ZHAO, Dongmei MA, Chunhua YANG, Yao KONG. The Application of Prognostic Model of Lysosomal Related Genes in Bladder Cancer. Journal of Kunming Medical University, 2024, 45(5): 1-7.
[2]	Lizhu ZHAO, Ying DONG, Yue DENG, Lihua YANG. Correlation between Epithelial Cell Related Genes and Prognosis of Patients with Ovarian Cancer based on Single Cell Sequencing. Journal of Kunming Medical University, 2024, 45(4): 9-16. doi: 10.12259/j.issn.2095-610X.S20240402
[3]	Yan HAI, Tursun MIKRBAN, Hasim AXIANGU. Effects of Pin1 on the Proliferation and Apoptosis of Cervical Cancer SiHa Cells by Regulating Key Enzymes of Lipid Metabolism. Journal of Kunming Medical University, 2023, 44(1): 1-6. doi: 10.12259/j.issn.2095-610X.S20230107
[4]	Yaping JIANG, Hongying YANG, Haohan WANG, Xianling Ning, Xielan YANG. Effect of Different Intestinal Surgical Methods on Prognosis of Patients with Intestinal Invasive Epithelial Ovarian Cancer. Journal of Kunming Medical University, 2023, 44(1): 85-90. doi: 10.12259/j.issn.2095-610X.S20230109
[5]	Qun WANG, Yuxin SUN, Haifeng WANG. Research Progress of Perilipin Family of Lipid Droplet Surface Proteins in Cancer. Journal of Kunming Medical University, 2023, 44(8): 139-144. doi: 10.12259/j.issn.2095-610X.S20230812
[6]	Yangyang LIAN, Hongping YUE, Ya DUAN, Hongwen HU, Fang LUO. The Role of miRNA-15a/16 in Regulating Bmi-1 Protein in Ovarian Cancer Resistance to Cisplatin Chemotherapy. Journal of Kunming Medical University, 2023, 44(12): 25-31. doi: 10.12259/j.issn.2095-610X.S20231204
[7]	Kun ZHAO, Yun XIAO, Chun YANG, Zhiling YAN, Minna DONG, Bingquan XIANG, Mingyao XIAO. Protective Effect of Interleukin-4 in Lipopolysaccharide-induced Acute Lung Injury Models. Journal of Kunming Medical University, 2022, 43(8): 41-46. doi: 10.12259/j.issn.2095-610X.S20220805
[8]	Yue DENG, Dan ZOU, Abdelkerim Barh TOUNA, Lihua YANG. Expression of PDE4D Gene in Ovarian Cancer Based on Oncomine and the Regulation of Sanguinarine. Journal of Kunming Medical University, 2022, 43(3): 1-6. doi: 10.12259/j.issn.2095-610X.S20220303
[9]	Xiaoyan YANG, Chunguang HAO, Zhijian ZHANG. Mechanisms of Progesterone on Proliferation and Migration of Human Ovarian Cancer Cells via HOXA9. Journal of Kunming Medical University, 2022, 43(10): 35-42. doi: 10.12259/j.issn.2095-610X.S20221022
[10]	Lixiu XU, TUERXUN Meiliban, YAKUFU Kereman. Studies on Cisplatin Resistance of miR-181a in Ovarian Cancer Cells. Journal of Kunming Medical University, 2022, 43(1): 20-25. doi: 10.12259/j.issn.2095-610X.S20220131
[11]	Li-jun HAO, Li-xiu XU, Jin-qiu LI, Jun-qi MA, Hasimu AXIANGU. The Effect of Peptide-prolinyl Isomerase（Pin1）on Lipid Metabolism in Cervical Cancer Cells. Journal of Kunming Medical University, 2021, 42(1): 12-16. doi: 10.12259/j.issn.2095-610X.S20210111
[12]	Lu YANG, Wen-jun SHI, Ling ZHAO, Shi-gang DU, Pei-qi CHEN, Ting-yu KE. The Correlation between Visceral Fat Area in Patients with Type 2 Diabetes and Obesity and Glycolipid Metabolism. Journal of Kunming Medical University, 2021, 42(9): 65-70. doi: 10.12259/j.issn.2095-610X.S20210932
[13]	Tian Bo Yan , Yang Qin Ling , Zhang Jiao Qiong , Han Na , Liu Shao Hua . The Curative Effect of Auxiliary Hepatic Arterial Chemoembolization in the Treatment of Microvascular Invasion of Hepatocellular Carcinoma. Journal of Kunming Medical University, 2018, 39(08): 86-92.
[14]	Hu Wan Qin , Zhao Hong Bo , Liang Hong , Zhao Qing Hua , Yang Li Hua . Analysis of Differential Expression Genes and Signal Pathways Associated with Cisplatin Resistant Ovarian Cancer. Journal of Kunming Medical University, 2017, 38(06): 97-101.
[15]	Hu Yu Chong , Lu Jing Kun , Cui Meng Yao . . Journal of Kunming Medical University, 2017, 38(03): 27-30.
[16]	Wang Chun Long , Han Dan , Wen Liang . Research Progress of Mesothelin in Tumor Diagnosis and Treatment. Journal of Kunming Medical University, 2017, 38(09): 134-139.
[17]	Yang Han . . Journal of Kunming Medical University,
[18]	Shu Qian . . Journal of Kunming Medical University,
[19]	Qi Zong Ze . . Journal of Kunming Medical University,
[20]	Yang Li Hua . . Journal of Kunming Medical University,