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Raw data related to the LRGs signature

NIAID Data Ecosystem2026-05-10 收录

胶质瘤生物标志物

免疫治疗敏感性预测

数据链接：

https://data.mendeley.com/datasets/kz64b94375 数据链接链接失效反馈

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资源简介：

Raw data from the manuscript "Deciphering the lactylation landscape in glioma: a novel gene signature predicts patient survival and immunotherapy sensitivity".

应用场景：

创建时间：

2025-09-10

胶质瘤生物标志物

临床病理关联分析

Correlation between DSE expression in glioma tissue and clinicopathological features.

NIAID Data Ecosystem70

DataSheet1_Identification and validation of roles of lysyl oxidases in the predictions of prognosis, chemotherapy and immunotherapy in glioma.XLSX

胶质瘤生物标志物

癌症治疗预测

Graphical Abstract

NIAID Data Ecosystem30

Table3_Bioinformatic profiling identifies the glutaminase to be a potential novel cuproptosis-related biomarker for glioma.XLSX

胶质瘤生物标志物

铜死亡机制研究

Glioma is the most common tumour of the central nervous system, with a poor prognosis and an increasing trend of incidence in recent years; it is also beginning to affect younger age groups more. Adde

NIAID Data Ecosystem20

Table_1_Comprehensive Analysis of REST/NRSF Gene in Glioma and Its ceRNA Network Identification.docx

胶质瘤生物标志物

ceRNA网络

We sought to clarify the clinical relationship between REST/NRSF expression and the prognosis of glioma and explore the REST-associated competitive endogenous RNA (ceRNA) network in glioma. We downloa

NIAID Data Ecosystem60

DataSheet1_Identification of Hypoxia-Related Subtypes, Establishment of Prognostic Models, and Characteristics of Tumor Microenvironment Infiltration in Colon Cancer.xlsx

结直肠癌预后模型

免疫治疗敏感性预测

Background: Immunotherapy is a treatment that can significantly improve the prognosis of patients with colon cancer, but the response to immunotherapy is different in patients with colon cancer becaus

NIAID Data Ecosystem30

Raw data related to the LRGs signature

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