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A prognostic model based on metabolism-related genes for patients with ovarian cancer

NIAID Data Ecosystem2026-03-13 收录

数据链接：

https://figshare.com/articles/dataset/A_prognostic_model_based_on_metabolism-related_genes_for_patients_with_ovarian_cancer/20462904 数据链接链接失效反馈

官方服务：

资源简介：

Three datasets from a public database

应用场景：

创建时间：

2022-08-10

代谢基因分析

脂肪酸组成研究

a14∶0 = myristic acid, 16∶0 = palmitic acid, 16∶1 = palmitoleic acid, 18∶0 = stearic acid, 18∶1 = oleic acid, 18∶2 = linoleic acid, 20∶0 = eicosanoic acid. bSFAs (saturated fatty acids) = 14∶0+16∶0+18

NIAID Data Ecosystem60

Table_4_A novel tumor mutational burden-based risk model predicts prognosis and correlates with immune infiltration in ovarian cancer.xls

肿瘤突变负荷

卵巢癌预后

Tumor mutational burden (TMB) has been reported to determine the response to immunotherapy, thus affecting the patient’s prognosis in many cancers. However, it is unclear whether TMB or TMB-related si

NIAID Data Ecosystem50

Additional file 10 of A novel signature derived from metabolism-related genes GPT and SMS to predict prognosis of laryngeal squamous cell carcinoma

肿瘤预后预测

代谢基因分析

Additional file 10: Table S4. List of differentially expressed MRGs.

NIAID Data Ecosystem30

Additional file 3 of Independent predictive value of blood inflammatory composite markers in ovarian cancer: recent clinical evidence and perspective focusing on NLR and PLR

卵巢癌预后

炎症标志物

Additional file 3.

DataCite Commons2024-08-14 更新60

Additional file 3 of Comparative transcriptome analysis reveals gene expression differences between two peach cultivars under saline-alkaline stress