Association of the selected variables with treatment response (WP2yr and CR2yr) and baseline WP.

NIAID Data Ecosystem2026-03-13 收录

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https://figshare.com/articles/dataset/Association_of_the_selected_variables_with_treatment_response_WP2yr_and_CR2yr_and_baseline_WP_/20534394 数据链接链接失效反馈

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Association of the selected variables with treatment response (WP2yr and CR2yr) and baseline WP.

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2022-08-22

Mouse ovarian cancer models recapitulate the human tumor microenvironment and patient response to treatment. Mouse ovarian cancer models recapitulate the human tumor microenvironment and patient response to treatment

癌微环境

治疗反应预测

Although there are many prospective targets in the tumor microenvironment (TME) of high-grade serous ovarian cancer (HGSOC), pre-clinical testing is challenging especially as there is limited informat

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Exhausted intratumoral Vδ2- γδ T cells in human kidney cancer retain effector function [scRNA-seq]. Exhausted intratumoral Vδ2- γδ T cells in human kidney cancer retain effector function [scRNA-seq]

肿瘤免疫微环境

治疗反应预测

Gamma delta (γδ) T cells reside within human tissues including tumors, but their role in mediating anti-tumor response with immune checkpoint inhibition is unknown. Using single-cell approaches, we fo

NIAID Data Ecosystem30

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

CCNE1 copy-number is a biomarker for response to combination WEE1-ATR inhibition in ovarian and endometrial cancer models

肿瘤生物标志物

治疗反应预测

CCNE1 copy number was identified as a biomarker for the combination inhibition of WEE1 and ATR therapy. Multiple patient-derived xenograph (PDX) were generated and genomic sequenced to get the mutatio

NIAID Data Ecosystem30

Table_1_An inflammation-related gene landscape predicts prognosis and response to immunotherapy in virus-associated hepatocellular carcinoma.xlsx

病毒相关肝癌预后预测

治疗反应预测

BackgroundDue to the viral infection, chronic inflammation significantly increases the likelihood of hepatocellular carcinoma (HCC) development. Nevertheless, an inflammation-based signature aimed to

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Association of the selected variables with treatment response (WP2yr and CR2yr) and baseline WP.

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