Table 1.

List of the database and server utilize in the study

Database	Data type	Analysis type	Dataset	Website link
ONCOMINE	Gene expression	Cancer vs. normal analysis	1. Broad Tumorscape 2. Cell Line Panel 3. DNA Copy Number 4. Multi-Cancer Panel 5. Normal Tissue Panel 6. TCGA Datasets	(https://www.ONCOMINE.org/resource/login.html)
GEPIA2	Gene expression	Gene expression profile across all tumor samples and paired normal tissues	TCGA/GTEx dataset	(http://gepia2.cancer-pku.cn/)
GENT2	Gene expression	Tissue-wide gene expression profile across paired tissues	Public gene expression data sets	(http://gent2.appex.kr/gent2/)
UALCAN	Transcript per million	Transcript per million RNA molecule was compared across different categories	TCGA	(http://ualcan.path.uab.edu/index.html)
UALCAN	Promoter DNA methylation	Promoter DNA methylation was compared across different categories using beta value	TCGA	(http://ualcan.path.uab.edu/index.html)
cBioPortal	Genomic alteration	Frequency of mutation, amplification , deep deletion and multiple alterations across specific cancer was analyzed	TCGA	(http://www.cbioportal.org/)
	Mutation	Mutation across TAP1 protein was determined for specific cancer
	Mutation and copy number alterations	Mutation and copy number alteration was identified in TAP1 mRNA expression for specific cancer
The Human Protein Atlas	Protein expression	Protein expression data was compared across different categories using immunohistochemistry.	The tissue atlas	(http://www.proteinatlas.org/)
PrognoScan	Gene expression and patient prognosis	Gene expression was analyzed comparing patient prognosis such as overall survival (OS), disease-free survival (DFS) and relapse-free survival for cancer and normal patient	Public cancer microarray datasets	(http://dna00.bio.kyutech.ac.jp/PrognoScan/) (https://kmplot.com/analysis/)
R2: Genomics Analysis and Visualization Platform	Positively co-expressed genes	Identification and visualization of positively co-expressed genes of different cancers	TCGA	(https://hgserver1.amc.nl/) (http://bioinformatics.psb.ugent.be/webtools/Venn)
Enricher	Positively co-expressed genes	Signaling pathway and gene ontology analysis of positively co-expressed genes in KEGG human pathways 2019, Panther 2016, GO Biological Process, GO Molecular Function (2018) and GO Cellular Component ranking by p-value	TCGA	(http://amp.pharm.mssm.edu/Enrichr/enrich#)