Immune cell score, PD-L1 expression and prognosis in esophageal cancer

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Immune_cell_score_PD-L1_expression_and_prognosis_in_esophageal_cancer/13677523 数据链接链接失效反馈

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Immune cell score, PD-L1 expression and prognosis in esophageal cancer

创建时间：

2021-02-01

Table_1_Mining of immunological and prognostic-related biomarker for cervical cancer based on immune cell signatures.xlsx

肿瘤免疫微环境分析

预后生物标志物评估

BackgroundImmunotherapy has changed the therapeutic landscape of cervical cancer (CC), but has durable anti-tumor activity only in a subset of patients. This study aims to comprehensively analyze the

NIAID Data Ecosystem50

Table_6_Pan-cancer analysis reveals the relationship between RCSD1 immune infiltration and clinical prognosis in human tumors.xlsx

癌症免疫微环境

生物标志物研究

BackgroundRCSD1 is a cytoskeletal regulator that has been confirmed to undergo genetic mutations in hematological tumors, but the mechanisms of RCSD1 in pan-cancer and its impact on patient prognosis

NIAID Data Ecosystem40

Supplementary Table S1 from A Strong B-cell Response Is Part of the Immune Landscape in Human High-Grade Serous Ovarian Metastases

癌症免疫微环境

临床病理队列分析

Total patient cohort characteristics reporting the age, disease stage and treatment of patients used in this study

NIAID Data Ecosystem30

Additional file 29 of Functional analysis of tumor-derived immunoglobulin lambda and its interacting proteins in cervical cancer

癌症免疫微环境

免疫细胞浸润相关性

Additional file 29: Supplementary Table 83. The correlation analysis between immune cell infiltration scores and IGLC5 expression.

Figshare2024-02-29 更新50

Transcriptome analysis revealed potential neuro-immune interaction in papillary thyroid carcinoma tissues. Transcriptome analysis revealed potential neuro-immune interaction in papillary thyroid carcinoma tissues

癌症免疫微环境

神经免疫交互作用

We aimed to explore the potential interaction between neural markers and signatures of tumor microenvironment. Comparative gene expression profiling analysis of Gene set variation analysis (GSVA) was

NIAID Data Ecosystem40

Immune cell score, PD-L1 expression and prognosis in esophageal cancer

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