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Copyright ©The Author(s) 2022.
World J Gastrointest Oncol. Mar 15, 2022; 14(3): 628-645
Published online Mar 15, 2022. doi: 10.4251/wjgo.v14.i3.628
Table 1 Existing molecular classification systems of gastrointestinal tract tumors
Subdividing and data level
Subtype
Prevalence
Defining characteristics
Esophagus subtypes
Liu et al[34] obtained subtypes based on SCNAs, WES, DNA methylation, mRNAseq, microRNAseq, RPPA (TCGA) EA-CIN14.1EA similarity with CIN phenotype of GC. Methylation patterns and gene alterations differ in terms of localization
Guo et al[13] determined differences in expression profiles and somatic mutation profiles by using RNA-Seq and exome-Seq data EA I40EA I shares the common expression profiles with GC
EA II60EA II was clustered with esophageal squamous cell carcinomas
Jammula et al[17] divided OAC and Barrett’s esophagus by integration of WGS and RNA-seq dataSubtype I28.7SI: CIMP-like
Subtype II27.3SII: Expression of gene patterns associated with metabolic processes
Subtype III22.7SIII: Immune cell infiltration
Subtype IV21.1SIV: DNA hypomethylation; structural aberrations; CNA
Secrier et al[8] received GC subtypes on the basis of mutation signatures obtained from WGS data DDR-impaired15DDR: Enrichment for BRCA signature with prevalent defects in the homologous recombination pathway
C > A/T dominant32C > A/T: Aging imprint
Mutagenic53Mutagenic: The highest mutational load and the highest load of neoantigens
Gastric subtypes
Tan et al[32] obtained subtypes based on gene expression pattern (microarray)G-INT 58G-INT: Genes upregulated were related to carbohydrate and protein metabolism (FUT2) and cell adhesion (LGALS4; CDH17)
G-DIF42G-DIF: Cell proliferation (AURKB) and fatty acid metabolism (ELOVL5) functional annotations were enriched
Lei et al[33] compared the patterns of gene expression samples of GC (mRNA, CNAs) Proliferative45Proliferative: High levels of genomic instability; TP53 mutations and DNA hypomethylation
Metabolic23Metabolic: High expression of genes associated with metabolism
Mesenchymal31Mesenchymal: Contain cells with features of cancer stem cells
TCGA obtained subtypes based on SCNAs, WES, DNA methylation, mRNAseq, microRNAseq, RPPA[12]EBV+8.8EBV: Recurrent mutation of PIK3CA; intense hypermethylation; JAK2, CD274, PDCD1LG2 amplification
MSI21.7MSI: Increased frequency of mutations; aberrant epigenetic patterns
CIN49.8CIN: The presence of multiple chromosomal rearrangements; localization mainly in the proximal gastric cancer and EGJ
GS19.7GS: RHOA, CDH1 and ARID1A mutations; CLDN18-ARHGAP6 gene fusion
Cristescu et al[55] received GC subtypes based on data of gene expression MSI-high GC22.7MSI-high GC: Mutations in ARID1A, MTOR, KRAS, PIK3CA, ALK, and PTEN. Overexpression of PD-L1; T cell infiltrate
MSS/EMT GC15.3MSS/EMT GC: Loss of CDH1; Loss of cellular adhesion, angiogenesis, motility
MSS/TP53- GC35.7MSS/TP53- GC: Highest prevalence of TP53 and RHOA mutations; APC, ARID1A, KRAS, PIK3CA, and SMAD4 enriched
MSS/TP53+ GC26.3MSS/TP53+ GC: Frequent EBV infection; Frequent mutations in ARID1A, PIK3CA, SMAD4, APC
Colon subtypes
Guinney et al[59] carried out combined molecular genetic analysis of 4151 colon tumor samples from 6 different scientific groupsCMS1 14CMS1: Hypermutated; microsatellite unstable; strong immune activation
CMS237CMS2: Epithelial, chromosomally unstable; marked WNT and MYC signaling activation
CMS313CMS3: Epithelial; evident metabolic dysregulation
CMS423CMS4: Prominent transforming growth factor β activation; stromal invasion and angiogenesis
Liu et al[34] obtained subtypes based on SCNAs, WES, DNA methylation, mRNAseq, microRNAseq, RPPA (TCGA) MSI17.5MSI: MSI tumors with MLH1 methylation were associated with BRAFV600E mutation
HM-SNV1.7HM-SNV: Hotspot mutations in polymerase E
CIN66.6CIMP status is characteristic of CRC with associated mutations in KRAS and TGFβ pathways
GS14GS: Lacking hypermutation and aneuploidy; enriched in DNA hypermethylation and mutations in KRAS, SOX9 and PCBP1