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CXCL9/10/11, a regulator of PD-L1 expression in gastric cancer.

Chenlu Zhang | Zhi Li | Ling Xu | Xiaofang Che | Ti Wen | Yibo Fan | Ce Li | Shuo Wang | Yu Cheng | Xiaoxun Wang | Xiujuan Qu | Yunpeng Liu
BMC cancer | 2018

Programmed death-ligand 1 (PD-L1) is an immunosuppressor that plays an important role in cancer treatments. Although majority of the studies demonstrated that PD-L1 expression was regulated by cellular intrinsic and extrinsic controls, and IFN-γ was a key molecule of extrinsic control, other studies imply that other cytokines play important roles in PD-L1 expression. In this study, we investigated the regulation of PD-L1 by chemokine signaling pathway in gastric cancer (GC) cells.

Pubmed ID: 29690901

Associated grants

  • Agency: National Natural Science Foundation of China, International
    Id: NO.81602098
  • Agency: National Natural Science Foundation of China, International
    Id: No.81572374
  • Agency: National Natural Science Foundation of China, International
    Id: No.81673025
  • Agency: National Natural Science Foundation of China, International
    Id: No.31770963
  • Agency: The National Key Research and Development Program of China, International
    Id: NO.2017YFC1308900
  • Agency: National Science and Technology Major Project of the Ministry of Science and Technology of China Science, International
    Id: NO. 2017ZX09304025
  • Agency: Technology Plan Project of Liaoning Province, International
    Id: NO.2014226033, 2016007010
  • Agency: The General Project of Liaoning province department of education and Distinguished professor of Liaoning Province, International
    Id: NO.LZ2015073
  • Agency: The General Project of Liaoning province department of education and Distinguished professor of Liaoning Province, International
    Id: No.LZ2014037

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_007303

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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Genomic Data Commons Data Portal (GDC Data Portal) (tool)

RRID:SCR_014514

A unified data repository of the National Cancer Institute (NCI)'s Genomic Data Commons (GDC) that enables data sharing across cancer genomic studies in support of precision medicine. The GDC supports several cancer genome programs at the NCI Center for Cancer Genomics (CCG), including The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and the Cancer Genome Characterization Initiative (CGCI). The GDC Data Portal provides a platform for efficiently querying and downloading high quality and complete data. The GDC also provides a GDC Data Transfer Tool and a GDC API for programmatic access.

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DAVID (tool)

RRID:SCR_001881

Bioinformatics resource system including web server and web service for functional annotation and enrichment analyses of gene lists. Consists of comprehensive knowledgebase and set of functional analysis tools. Includes gene centered database integrating heterogeneous gene annotation resources to facilitate high throughput gene functional analysis.

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Gene Set Enrichment Analysis (tool)

RRID:SCR_003199

Software package for interpreting gene expression data. Used for interpretation of a large-scale experiment by identifying pathways and processes.

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Gene Expression Omnibus (GEO) (tool)

RRID:SCR_005012

Functional genomics data repository supporting MIAME-compliant data submissions. Includes microarray-based experiments measuring the abundance of mRNA, genomic DNA, and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. Array- and sequence-based data are accepted. Collection of curated gene expression DataSets, as well as original Series and Platform records. The database can be searched using keywords, organism, DataSet type and authors. DataSet records contain additional resources including cluster tools and differential expression queries.

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SGC-7901 (tool)

RRID:CVCL_0520

Cell line SGC-7901 is a Cancer cell line with a species of origin Homo sapiens

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