Additional file 3 of Predictive value of CCL2 in the prognosis and immunotherapy response of glioblastoma multiforme

NIAID Data Ecosystem2026-05-01 收录

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https://figshare.com/articles/dataset/Additional_file_3_of_Predictive_value_of_CCL2_in_the_prognosis_and_immunotherapy_response_of_glioblastoma_multiforme/26650275 数据链接链接失效反馈

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Supplementary Material 3

创建时间：

2023-12-06

Gut microbiomes of patients under cancer immunotherapy Raw sequence reads. Gut microbiomes of patients under cancer immunotherapy

癌症免疫治疗微生物组

治疗反应预测

Gut microbiomes have been linked to the clinical responses of oncology patients on immunotherapies. Further investigation into potential gut microbiome biomarkers of immunotherapy response may improve

NIAID Data Ecosystem50

Variability of the metabolomic profiles in terms of potential confounding variables in the four principal components identified by PCA and expressed as F-values together with the corresponding p-values (in brackets).

代谢组学

治疗反应预测

ANOVA test, significant values (p<0.05) are in bold. Smoking, co-morbidity, ACPA and RF variables are defined as presence or absence; dietary habits variable is defined as mediterranean diet or non-me

NIAID Data Ecosystem30

A 12-gene panel in estimating hormone-treatment responses of castration-resistant prostate cancer patients generated using a combined analysis of bulk and single-cell sequencing data

去势抵抗性前列腺癌

治疗反应预测

Castration-resistant prostate cancer (CRPC) represents one type of advanced prostate cancer (PCa) with a median survival time of 1–2 years. Currently, there is a lack of reliable gene panels in predic

Taylor & Francis Group2024-03-21 更新20

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

NIAID Data Ecosystem50

Table_1_Development and validation of an inflammatory response-related signature in triple negative breast cancer for predicting prognosis and immunotherapy.xls

三阴性乳腺癌预后

治疗反应预测

BackgroundInflammation is one of the most important characteristics of tumor tissue. Signatures based on inflammatory response-related genes (IRGs) can predict prognosis and treatment response in a va

NIAID Data Ecosystem30

Additional file 3 of Predictive value of CCL2 in the prognosis and immunotherapy response of glioblastoma multiforme

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