Literature DB >> 30509957

Cancer Immunity and Gene Expression Data: A Quick Tool for Immunophenotype Evaluation.

Masayuki Hirano1.   

Abstract

The rapid advancement of next generation sequencing technology has resulted in accumulation of many datasets in cancer clinical and research laboratories, many of which do not have bioinformaticians. Xu and colleagues developed a user-friendly web-based tool to define the tumor immunophenotype among patients with cancer. By uploading user-defined datasets on the web, it can systematically track, analyze, and visualize the status of anticancer immune activity and the proportion of tumor-infiltrating immune cells. This tool can help immunologists and clinical researchers to perform quick, efficient, and comprehensive analysis of the tumor immunophenotype.See related article by Xu et al., p. 6575. ©2018 American Association for Cancer Research.

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Year:  2018        PMID: 30509957     DOI: 10.1158/0008-5472.CAN-18-3288

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  2 in total

1.  Tumor-Infiltrating Immune Cell Signature Predicts the Prognosis and Chemosensitivity of Patients With Pancreatic Ductal Adenocarcinoma.

Authors:  Yuzhen Gao; Shipeng Chen; Somayeh Vafaei; Xiaoli Zhong
Journal:  Front Oncol       Date:  2020-09-25       Impact factor: 6.244

2.  m7G Methylation-Related Genes as Biomarkers for Predicting Overall Survival Outcomes for Hepatocellular Carcinoma.

Authors:  Xin-Yu Li; Zhi-Jie Zhao; Jing-Bing Wang; Yu-Hao Shao; Jian-Xiong You; Xi-Tao Yang
Journal:  Front Bioeng Biotechnol       Date:  2022-05-10
  2 in total

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