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Transcription profiling of human advanced bladder cancer to predict response and survival following chemotherapy in patients

ChEBI2008-06-13 更新2026-07-21 收录

膀胱癌预后

转录组生物标志物

数据链接：

https://www.ebi.ac.uk/biostudies/ArrayExpress/studies/E-GEOD-5287 数据链接链接失效反馈

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资源简介：

Transcription profiling of human advanced bladder cancer to predict response and survival following chemotherapy in patients

应用场景：

创建时间：

2008-06-13

关节炎分子机制

转录组生物标志物

Meniscus plays an important role in joint homeostasis. Tear or degeneration of meniscus might facilitate the process of knee osteoarthritis (OA). Hence, to investigate the transcriptome change during

NIAID Data Ecosystem90

DataSheet_1_N6-Methylandenosine-Related lncRNAs Predict Prognosis and Immunotherapy Response in Bladder Cancer.xlsx

膀胱癌预后

免疫治疗响应评估

Both lncRNAs and the N6-methyladenosine (m6A) modification are key regulators of tumorigenesis and innate immunity. However, little is known about the m6A modification of lncRNAs and their clinical an

NIAID Data Ecosystem60

Next Generation Sequencing Facilitates Quantitative Analysis of tumor samples from HCC patients receiving Nivolumab.

HCC免疫治疗应答预测

转录组生物标志物

To identify critical tumor-secreting factors that may contribute to immunotherapy efficacy against HCC, we subjected tumor samples from 10 HCC patients to whole-transcriptome sequencing, and categoriz

NIAID Data Ecosystem20

Additional file 6 of Identification of immune-related and autophagy-related genes for the prediction of survival in bladder cancer

膀胱癌预后

生物标志物

Additional file 6: Table S6. Risk score of each sample from the training cohort.

Figshare2022-08-01 更新70

Transcriptome profiling of Anlotinib-resistant NCI-H1975 and Anlotinib-treated Anlotinib-resistant NCI-H1975

化疗耐药机制

转录组生物标志物

Further to our previous study (E-MTAB-5997), here we performed transcriptome profiling on Anlotinib-resistant NCI-H1975 and Anlotinib-treated Anlotinib-resistant NCI-H1975, and would like to understan

NIAID Data Ecosystem40

Transcription profiling of human advanced bladder cancer to predict response and survival following chemotherapy in patients

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