E-GEOD-36765

NIAID Data Ecosystem2026-05-02 收录

肿瘤免疫微环境

癌症生物标志物

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资源简介：

Gene expression profiling of CD4+ T cells from primary tumors, axillary lymph nodes and peripheral blood of 10 patients with invasive breast carcinomas and blood of 4 healthy donors

创建时间：

2025-01-24

Immunohistochemical analyses of biomarker expression levels in prostate adenocarcinoma tissues and PC bone metastasis specimens relative to normal prostate tissues.

癌症生物标志物

肿瘤分期

aT-primary tumor: T2, tumor confined within prostate; T3, tumor extends through the prostate caspsule and T4, Tumor is fixed or invades adjacent structures other than seminal vesicles.

NIAID Data Ecosystem30

De novo alignments of mouse RNA-seq data to assess the VHL loss reported by Rathmell and colleagues (PMID 38618956)

肿瘤免疫微环境

RNA-seq数据分析

The contents of this dataset were created de novo starting from RNA-seq data downloaded from Gene Expression Omnibus (GEO), with a pipeline specifically written to generate results starting with seque

Zenodo2026-05-15 更新10

Additional file 3: of Integrating germline and somatic variation information using genomic data for the discovery of biomarkers in prostate cancer

癌症生物标志物

癌症基因组分析

Table S3. Comprehensive list of somatically mutated and significantly differentially expressed genes with gene symbols, p-value and adjusted p-value from supervised analysis and frequency distribution

Figshare2019-03-15 更新00

DataSheet_2_Integrated bioinformatics analysis of IFITM1 as a prognostic biomarker and investigation of its immunological role in prostate adenocarcinoma.zip

癌症生物标志物

肿瘤免疫治疗靶点

IntroductionProstate adenocarcinoma (PRAD) is a highly aggressive malignancy with high mortality and poor prognosis, and its potential mechanism remains unclear. Our study aimed to identify novel mark

NIAID Data Ecosystem20

GSE166722.

癌症生物标志物

肺腺癌复发预测

Purpose Periostin (POSTN) has been identified as a biomarker highly correlated with the risk of recurrence of lung adenocarcinoma (LUAD). Increasing the understanding of POSTN’s role in LUAD recurrenc

NIAID Data Ecosystem00

E-GEOD-36765

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