Review
Copyright ©The Author(s) 2021.
World J Stem Cells. Jul 26, 2021; 13(7): 795-824
Published online Jul 26, 2021. doi: 10.4252/wjsc.v13.i7.795
Table 1 Programmed death-1/programmed death ligand 1 nucleotide variations and their clinical relevance in liver disease

Variants
Relevance
Ref.
PD-1rs7421861Increases cancer risk, especially in NAFLD-HCC[127,140]
rs2227981Reduces cancer risk[127]
rs42386439Low HBV viral load[129]
rs36084323Worse disease progression in chronic HBV, low TNF-α and IFN-γ levels[15,131,132]
rs10204525Disease progression in chronic HBV, high TNF-α and IFN-γ levels, longer overall survival[131,133-135]
rs11568821Reduces cancer risk[23,127,136]
PD-L1rs4143815Increases cancer risk [141,143]
rs17718883Reduces cancer risk[142]
rs10815225Increases cancer risk[143]
rs2297136Increases cancer risk[142]
rs2890658Not associated with cancer risk[142]
PD-1 and PD-L1 PD-1 rs11568821 and PD-L1 rs4143815Liver transplantation setting[148]
Table 2 Major molecular classifications of hepatocellular carcinoma
Ref.
Subclass
Marker
Main methods
Yamashita et al[158]Type A-D EpCAM, AFPcDNA microarray, IHC
Lee et al[157,159]Cluster A and B, and 3 distinct phenotypesSets of survival genes, AFPIntegrated cDNA microarray in human specimens and animal models
Boyault et al[160]Groups G1-G6Tumor heterozygosity, gene mutations, methylation, and HBV DNAcDNA microarray, IHC, qRT-PCR
Hoshida et al[161]Subclasses S1-S3Cellular differentiation, serum AFP, signaling pathwaysMeta-analysis of gene expression profiles datasets, IHC
Sia et al[163]Immune classes active and adaptiveImmune response genescDNA microarray, IHC, TCGA analysis
Zhang et al[164]Immunophenotypic subtypes 1-3Immune response genes and antitumoral immunityWhole-exome and RNA sequencing, mass spectrometry-based proteomics and metabolomics, CyTOF, single-cell analysis
Table 3 Association between programmed death-1 expression and cancer stem cell markers
Malignancy
Stemness/CSC markers
Method
Relevance
Ref.
HCCCD133+ interaction with lymphatic endothelial cellsCo-cultureUpregulates PD-L1[196]
HCCCK-19, SALL-4IHCPositively associated with PD-L1[194]
HCCEpCAMIHCNegatively associated with PD-L1[194]
Breast cancerCD44hiCD24loFlow cytometryHigh PD-L1 expression[182]
Breast cancerEpCAM+CD44hi CD24loFlow cytometryHigh PD-L1 expression[184]
Breast cancerEpCAM+CD90hi Flow cytometryHigh PD-L1 expression[184]
Breast cancerEpCAM+CD44hiCD24loFlow cytometry, IFHigh PD-L1 expression; nuclear PD-L1[185]
Breast cancerStemness scoremRNA from TCGASignificant correlation to PD-L1 [185]
Breast cancerALDH+, CD44hiFlow cytometryHigh PD-L1 expression[183]
Colorectal cancerCD44hiCD133hiFlow cytometryHigh PD-L1 expression[182]
Colorectal cancerCD133+CD44+Flow cytometryHigh PD-L1 expression[189]
Ovarian cancerALDHqRT-PCR, IFHigh PD-L1 expression[188]
HNSCCCD44+Flow cytometry, qRT-PCR, RNA in situ hybridizationHigh PD-L1 expression[191]
Lung adenocarcinomaCD44mRNA in TIMER datasetsPositively associated with PD-L1[186]
NSCLCALDHmRNA from TCGA, IHCNegatively associated with PD-L1[192]
CholangiocarcinomaALDHSorting of PD-L1 cellsHigh ALDH+ in PD-L1lo [193]
Pancreatic cancerCD44+CD133+IFPositively associated with PD-L1[190]