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Profiles of genomic instability in high-grade serous ovarian cancer (HGSC) predict treatment outcome

ChEBI2012-11-06 更新2026-07-21 收录

癌症基因组数据

治疗反应预测

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-39130 数据链接链接失效反馈

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资源简介：

Profiles of genomic instability in high-grade serous ovarian cancer (HGSC) predict treatment outcome

应用场景：

创建时间：

2012-11-06

癌症基因组数据

精准医疗

BackgroundSarcomatoid hepatocellular carcinoma (SHC) is a rare epithelial malignancy with high invasiveness and poor prognosis. However, the molecular characteristics and main driver genes for SHC hav

NIAID Data Ecosystem10

Table_1_Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma.docx

膀胱癌预后

治疗反应预测

BackgroundImmunogenic cell death (ICD) has been categorized as a variant of regulated cell death that is capable of inducing an adaptive immune response. A growing body of evidence has indicated that

NIAID Data Ecosystem00

Normalised Gene Expression Counts (TPM)

HER2+乳腺癌基因表达

治疗反应预测

Normalised gene expression counts (tpm) for 13 pre-treatment tumour biopsy samples collected from patients with early stage HER2+ breast cancer who subsequently received anti-HER2 and chemotherapy neo

NIAID Data Ecosystem00

Raw_data.zip

癌症基因组数据

细胞焦亡机制

Comprehensive genomic signature of pyroptosis-related genes and relevant characterization in hepatocellular carcinoma

NIAID Data Ecosystem10

Table 1_Polyamine metabolism related gene index prediction of prognosis and immunotherapy response in breast cancer.xlsx

癌症预后预测

治疗反应预测

BackgroundPolyamine metabolism is closely associated with tumorigenesis, progression, and the tumor microenvironment (TME). This study aimed to determine whether polyamine metabolism-related genes (PM

NIAID Data Ecosystem00

Profiles of genomic instability in high-grade serous ovarian cancer (HGSC) predict treatment outcome

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