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Additional file 2 of A new risk model based on a 11-m6A-related lncRNA signature for predicting prognosis and monitoring immunotherapy for gastric cancer

NIAID Data Ecosystem2026-03-13 收录

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m6A-lncRNA

数据链接：

https://figshare.com/articles/dataset/Additional_file_2_of_A_new_risk_model_based_on_a_11-m6A-related_lncRNA_signature_for_predicting_prognosis_and_monitoring_immunotherapy_for_gastric_cancer/19522551 数据链接链接失效反馈

官方服务：

资源简介：

Additional file 2.

应用场景：

创建时间：

2022-04-05

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生物标志物发现

Background: Clear cell renal cell carcinoma (ccRCC) is the main component of renal cell carcinoma (RCC), and advanced ccRCC frequently indicates a poor prognosis. The significance of the CCCH-type zin

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Table2_Identification and validation of a novel cellular senescence-related lncRNA prognostic signature for predicting immunotherapy response in stomach adenocarcinoma.XLSX

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肿瘤治疗响应

Background: Cellular senescence is a novel hallmark of cancer associated with patient outcomes and tumor immunotherapy. However, the value of cellular senescence-related long non-coding RNAs (lncRNAs)

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Table_1_Developing and validating nomograms for predicting the survival in patients with clinical local-advanced gastric cancer.xlsx

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临床决策模型

BackgroundMany patients with gastric cancer are at a locally advanced stage during initial diagnosis. TNM staging is inaccurate in predicting survival. This study aims to develop two more accurate sur

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Table_2_Comprehensive Analysis of the Prognostic Values of the TRIM Family in Hepatocellular Carcinoma.docx

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TRIM家族生物标志物

BackgroundAccumulating studies have demonstrated the abnormal expressions and prognostic values of certain members of the tripartite motif (TRIM) family in diverse cancers. However, comprehensive prog

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DataSheet1_Development of a Novel Sphingolipid Signaling Pathway-Related Risk Assessment Model to Predict Prognosis in Kidney Renal Clear Cell Carcinoma.PDF

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鞘脂类代谢

This study aimed to explore underlying mechanisms by which sphingolipid-related genes play a role in kidney renal clear cell carcinoma (KIRC) and construct a new prognosis-related risk model. We used

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