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©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
Published online Mar 15, 2022. doi: 10.4251/wjgo.v14.i3.628
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-CIN | 14.1 | EA 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 I | 40 | EA I shares the common expression profiles with GC |
EA II | 60 | EA 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 data | Subtype I | 28.7 | SI: CIMP-like |
Subtype II | 27.3 | SII: Expression of gene patterns associated with metabolic processes | |
Subtype III | 22.7 | SIII: Immune cell infiltration | |
Subtype IV | 21.1 | SIV: DNA hypomethylation; structural aberrations; CNA | |
Secrier et al[8] received GC subtypes on the basis of mutation signatures obtained from WGS data | DDR-impaired | 15 | DDR: Enrichment for BRCA signature with prevalent defects in the homologous recombination pathway |
C > A/T dominant | 32 | C > A/T: Aging imprint | |
Mutagenic | 53 | Mutagenic: 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 | 58 | G-INT: Genes upregulated were related to carbohydrate and protein metabolism (FUT2) and cell adhesion (LGALS4; CDH17) |
G-DIF | 42 | G-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) | Proliferative | 45 | Proliferative: High levels of genomic instability; TP53 mutations and DNA hypomethylation |
Metabolic | 23 | Metabolic: High expression of genes associated with metabolism | |
Mesenchymal | 31 | Mesenchymal: Contain cells with features of cancer stem cells | |
TCGA obtained subtypes based on SCNAs, WES, DNA methylation, mRNAseq, microRNAseq, RPPA[12] | EBV+ | 8.8 | EBV: Recurrent mutation of PIK3CA; intense hypermethylation; JAK2, CD274, PDCD1LG2 amplification |
MSI | 21.7 | MSI: Increased frequency of mutations; aberrant epigenetic patterns | |
CIN | 49.8 | CIN: The presence of multiple chromosomal rearrangements; localization mainly in the proximal gastric cancer and EGJ | |
GS | 19.7 | GS: RHOA, CDH1 and ARID1A mutations; CLDN18-ARHGAP6 gene fusion | |
Cristescu et al[55] received GC subtypes based on data of gene expression | MSI-high GC | 22.7 | MSI-high GC: Mutations in ARID1A, MTOR, KRAS, PIK3CA, ALK, and PTEN. Overexpression of PD-L1; T cell infiltrate |
MSS/EMT GC | 15.3 | MSS/EMT GC: Loss of CDH1; Loss of cellular adhesion, angiogenesis, motility | |
MSS/TP53- GC | 35.7 | MSS/TP53- GC: Highest prevalence of TP53 and RHOA mutations; APC, ARID1A, KRAS, PIK3CA, and SMAD4 enriched | |
MSS/TP53+ GC | 26.3 | MSS/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 groups | CMS1 | 14 | CMS1: Hypermutated; microsatellite unstable; strong immune activation |
CMS2 | 37 | CMS2: Epithelial, chromosomally unstable; marked WNT and MYC signaling activation | |
CMS3 | 13 | CMS3: Epithelial; evident metabolic dysregulation | |
CMS4 | 23 | CMS4: 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) | MSI | 17.5 | MSI: MSI tumors with MLH1 methylation were associated with BRAFV600E mutation |
HM-SNV | 1.7 | HM-SNV: Hotspot mutations in polymerase E | |
CIN | 66.6 | CIMP status is characteristic of CRC with associated mutations in KRAS and TGFβ pathways | |
GS | 14 | GS: Lacking hypermutation and aneuploidy; enriched in DNA hypermethylation and mutations in KRAS, SOX9 and PCBP1 |
- Citation: Ignatova EO, Kozlov E, Ivanov M, Mileyko V, Menshikova S, Sun H, Fedyanin M, Tryakin A, Stilidi I. Clinical significance of molecular subtypes of gastrointestinal tract adenocarcinoma. World J Gastrointest Oncol 2022; 14(3): 628-645
- URL: https://www.wjgnet.com/1948-5204/full/v14/i3/628.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v14.i3.628