Browse GPA33

Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Basic function annotation.
> Subcellular Location, Domain and Function
> Gene Ontology
> KEGG and Reactome Pathway
> Subcellular Location, Domain and Function
 
Subcellular Location Membrane; Single-pass type I membrane protein.
Domain PF07686 Immunoglobulin V-set domain
Function

May play a role in cell-cell recognition and signaling.

> Gene Ontology
 
Biological Process -
Molecular Function -
Cellular Component -
> KEGG and Reactome Pathway
 
KEGG -
Reactome -
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Literatures that report relations between GPA33 and anti-tumor immunity. The specific mechanism were also collected if the literature reports that a gene specifically promotes or inhibits the infiltration or function of T/NK cells.
> Text Mining
 
  Literatures describing the relation between GPA33 and anti-tumor immunity in human cancer.
PMID Cancer type Relation to immunity Evidence sentences
29866746Colorectal CarcinomaEssential for immunotherapyMGD007 displays the anticipated bispecific binding properties and mediates potent lysis of gpA33-positive cancer cell lines, including models of colorectal cancer stem cells, through recruitment of T-cells. Both CD8 and CD4 T cells mediated lysis of gpA33-expressing tumor cells, with activity accompanied by increases in granzyme and perforin. No cytokine activation was observed with human PBMC alone, consistent with the absence of gpA33 expression on peripheral blood cell populations. Following prolonged exposure to MGD007 and gpA33 positive tumor cells, T cells express PD 1 and LAG-3 and acquire a memory phenotype but retain ability to support potent cell killing.
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content High-throughput screening data (e.g. CRISPR-Cas9, shRNA and RNAi) for T cell-mediated killing. Genetic screen techniques can identify mechanisms of tumor cell resistance (e.g., PTPN2) and sensitivity (e.g., APLNR) to killing by cytotoxic T cells, the central effectors of anti-tumor immunity. After comprehensively searching, eight groups of screening data sets were collected in the current database. In this tab, users can check whether their selected genes cause resistance or increase sensitivity to T cell-mediated killing in various data sets.
> High-throughput Screening
  Statistical results of GPA33 in screening data sets for detecting immune reponses.
PMID Screening System Cancer Type Cell Line Data Set Statistical Results Relation to immunity
29301958CRISPR-Cas9 melanomaB16F10Pmel-1 T cell NA/NSNA/NS
29301958CRISPR-Cas9 melanomaB16F10OT-1 T cell NA/NSNA/NS
28783722CRISPR-Cas9 melanomaMel6242CT-CRISPR NA/NSNA/NS
28723893CRISPR-Cas9 melanomaB16GVAX+Anti-PD1 NA/NSNA/NS
28723893CRISPR-Cas9 melanomaB16GVAX NA/NSNA/NS
25691366RNAiBreast cancerMCF7Luc-CTL assay NA/NSNA/NS
24476824shRNAmelanomaB16Primary screen NA/NSNA/NS
24476824shRNAmelanomaB16Secondary screen NA/NSNA/NS
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Transcriptomic and genomic profiling of pre-treated tumor biopsies from responders and non-responders to immunotherapy. These data were used to identify signatures and mechanisms of response to checkpoint blockade (e.g., anti-PDL1 and anti-PD1). One example is that mutations in the gene PBRM1 benefit clinical survival of patients with clear cell renal cell carcinoma. After comprehensively searching, we collected 5 and 6 of transcriptomic and genomic data sets, respectively. In this tab, users can check whether their selected genes have significant difference of expression or mutation between responders and non-responders in various data sets.
> Expression difference between responders and non-responders
> Mutation difference between responders and non-responders
> Expression difference between responders and non-responders
 
Points in the above scatter plot represent the expression difference of GPA33 in various data sets.
No PMID Cancer type Group Drug # Res # NRes Log2 (Fold Change) P value Anno
126997480MelanomaallAnti-PD-1 (pembrolizumab and nivolumab)141201
226997480MelanomaMAPKiAnti-PD-1 (pembrolizumab and nivolumab)6501
326997480Melanomanon-MAPKiAnti-PD-1 (pembrolizumab and nivolumab)8701
428552987Urothelial cancerallAnti-PD-L1 (atezolizumab) 916-0.8090.43
528552987Urothelial cancersmokingAnti-PD-L1 (atezolizumab) 59-1.020.49
628552987Urothelial cancernon-smokingAnti-PD-L1 (atezolizumab) 47-0.5370.748
729033130MelanomaallAnti-PD-1 (nivolumab) 26230.1080.887
829033130MelanomaNIV3-PROGAnti-PD-1 (nivolumab) 1511-0.1280.923
929033130MelanomaNIV3-NAIVEAnti-PD-1 (nivolumab) 11120.3890.789
1029301960Clear cell renal cell carcinoma (ccRCC)allAnti-PD-1 (nivolumab) 480.5960.16
1129301960Clear cell renal cell carcinoma (ccRCC)VEGFRiAnti-PD-1 (nivolumab) 2001
1229301960Clear cell renal cell carcinoma (ccRCC)non-VEGFRiAnti-PD-1 (nivolumab) 280.6840.234
1329443960Urothelial cancerallAnti-PD-L1 (atezolizumab) 682300.0150.954
> Mutation difference between responders and non-responders
 
Points in the above scatter plot represent the mutation difference of GPA33 in various data sets.
No PMID Cancer type Group Drug # Res # NRes % Mut/Res % Mut/NRes % Diff (R vs NR) Pval Anno
125765070Non-small cell lung cancer (NSCLC)allAnti-PD-1 (pembrolizumab) 14177.107.10.452
225765070Non-small cell lung cancer (NSCLC)smokingAnti-PD-1 (pembrolizumab) 103100101
325765070Non-small cell lung cancer (NSCLC)non-smokingAnti-PD-1 (pembrolizumab) 4140001
426359337MelanomaallAnti-CTLA-4 (ipilimumab) 27737.407.40.0709
526359337MelanomaBRAFiAnti-CTLA-4 (ipilimumab) 0140001
626359337Melanomanon-BRAFiAnti-CTLA-4 (ipilimumab) 27597.407.40.096
726997480MelanomaallAnti-PD-1 (pembrolizumab and nivolumab)21174.804.81
826997480MelanomaMAPKiAnti-PD-1 (pembrolizumab and nivolumab)8612.5012.51
926997480Melanomanon-MAPKiAnti-PD-1 (pembrolizumab and nivolumab)13110001
1028552987Urothelial cancerallAnti-PD-L1 (atezolizumab) 9160001
1128552987Urothelial cancersmokingAnti-PD-L1 (atezolizumab) 590001
1228552987Urothelial cancernon-smokingAnti-PD-L1 (atezolizumab) 470001
1329033130MelanomaallAnti-PD-1 (nivolumab) 38272.63.7-1.11
1429033130MelanomaNIV3-PROGAnti-PD-1 (nivolumab) 221307.7-7.70.371
1529033130MelanomaNIV3-NAIVEAnti-PD-1 (nivolumab) 16146.206.21
1629301960Clear cell renal cell carcinoma (ccRCC)allAnti-PD-1 (nivolumab) 11130001
1729301960Clear cell renal cell carcinoma (ccRCC)VEGFRiAnti-PD-1 (nivolumab) 610001
1829301960Clear cell renal cell carcinoma (ccRCC)non-VEGFRiAnti-PD-1 (nivolumab) 5120001
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Relations between abundance of tumor-infiltrating lymphocytes (TILs) and expression, copy number, methylation, or mutation of GPA33. The immune-related signatures of 28 TIL types from Charoentong's study, which can be viewed in the download page. For each cancer type, the relative abundance of TILs were inferred by using gene set variation analysis (GSVA) based on gene expression profile. In this tab, users can examine which kinds of TILs might be regulated by the current gene.
> Lymphocyte
 
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Relations between three kinds of immunomodulators and expression, copy number, methylation, or mutation of GPA33. These immunomo-dulators were collected from Charoentong's study. In this tab, users can examine which immunomodulators might be regulated by GPA33.
> Immunoinhibitor
> Immunostimulator
> MHC molecule
> Immunoinhibitor
 
> Immunostimulator
 
> MHC molecule
 
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Relations between chemokines (or receptors) and expression, copy number, methylation, or mutation of GPA33. In this tab, users can examine which chemokines (or receptors) might be regulated by the current gene.
> Chemokine
> Receptor
> Chemokine
 
> Receptor
 
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Distribution of GPA33 expression across immune and molecular subtypes.
> Immune subtype
> Molecular subtype
> Immune subtype
 
> Molecular subtype
 
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Associations between GPA33 and clinical features.
> Overall survival analysis
> Cancer stage
> Tumor grade
> Overall survival
 
> Stage
 
> Grade
 
Summary
SymbolGPA33
Nameglycoprotein A33 (transmembrane)
Aliases A33; transmembrane glycoprotein A33; Glycoprotein A33
Chromosomal Location1q24.1
External Links HGNC, NCBI, Ensembl, Uniprot, GeneCards
Content Drugs targeting GPA33 collected from DrugBank database.
> Drugs from DrugBank database
 

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