Molecular Classification of Gastric Adenocarcinoma

Abstract

As one of the leading causes of cancer-related deaths, gastric cancer (GC) has gained more and more attention. Although most GCs are adenocarcinomas, they have considerable heterogeneity among patients. Thus, appropriate classification and individualized treatment of GCs is essential. The traditional morphology-based classification systems including the World Health Organization (WHO) classification and the Lauren’s classification have a limited utility in guiding clinical treatment due to the molecular heterogeneity of GC. Classifications based on molecular features become important. Recent years, molecular methods such as next-generation sequencing (NGS) including deoxyribonucleic acid (DNA) sequencing, ribonucleic acid (RNA) sequencing, whole-exome sequencing, copy number variation analysis and DNA methylation arrays have been used to classify the GC into molecular subtypes which can convey more detailed information of tumor than histopathological characteristics. In this review, we described the current molecular classifications of GC including the intrinsic subtypes, Lei subtypes, The Cancer Genome Atlas (TCGA) subtypes, Asian Cancer Research Group (ACRG) subtypes, and some other additional classifications.

Introduction

Most of the gastric cancers (GCs) are adenocarcinomas, which have considerable heterogeneity among patients [1]. The traditional morphology-based classification systems include the World Health Organization (WHO) classification (papillary, tubular, mucinous, and poorly cohesive) [2], and the Lauren classification (intestinal, diffuse, and mixed) [3]. There is also an additional modified WHO classification (differentiated and undifferentiated) which is used to predict the risk of lymph node metastasis [4].

However, the accumulation of multiple genetic and epigenetic alterations which can lead to the dysregulation of oncogenes and tumor suppressors is considered the driver during the tumorigenesis [5]. The traditional morphology-based classification cannot convey the molecular heterogeneity of GC and cannot guide clinical practice in advanced GC for determining prognosis or predicting treatment responsiveness. Although the subclassification by molecular testing might increase the complexity of classification, identifying subtypes of GC based on molecular and genetic features is necessary to select targeted treatment [6].

This review aimed to update and summarize the molecular subtypes of gastric adenocarcinoma.

Intrinsic Subtypes

In 2011, Tan et al [7] identified new subtypes of GC by gene expression analysis of a large panel of GC cell lines, and tested their additional prognostic or predictive value in patients. They identified two major intrinsic subgroups of GC in 37 GC cell lines based on a genomic expression signature. These subtypes include genomic intestinal (G-INT) and genomic diffuse (G-DIF) (Table 1) [7]. These subtypes were validated in primary tumors from 521 patients in four independent cohorts (Cohort 1 included 200 patients from the National Cancer Centre Singapore in Singapore; Cohort 2 included 70 patients from Peter MacCallum Cancer Centre in Australia; Cohort 3 included 65 patients from Yonsei University in South Korea; and Cohort 4 included 186 patients from the National Healthcare Group in Singapore).

Table 1. Intrinsic Subtypes.

	G-INT GC	G-DIF GC
Histology	Intestinal histology (91/133)	Diffuse histology (64/107)
Molecular alterations	Genes up-regulated were related to carbohydrate and protein metabolism (FUT2) and cell adhesion (LGALS4, CDH17)	Cell proliferation (AURKB) and fatty acid metabolism (ELOVL5) functional annotations were enriched
Treatment reaction	In vitro study, G-INT cell lines were sensitive to 5-FU and oxaliplatin	In vitro study, G-DIF cell lines were more sensitive to cisplatin
	Patients with G-INT tumors may derive benefit from adjuvant 5-FU-based therapy
Prognosis	Superior overall survival	Poor

G-INT: genomic intestinal; G-DIF: genomic diffuse; GC: gastric cancer; AURKB: aurora kinase B; CDH17: cadherin 17; ELOVL5: ELOVL family member 5; FUT2: fucosyltransferase 2; LGALS4: lectin; 5-FU: 5-fluorouracil.

These intrinsic subtypes were partially associated with Lauren’s classification. The G-INT subtype was associated with intestinal histology, and the G-DIF subtype was associated with diffuse histology. However, the overall concordance between the intrinsic genomic subtypes and Lauren’s classification was only 64% [7]. The two classifications are associated with highly distinctive gene expression patterns and biological pathways. They should be regarded as distinct. Genes up-regulated in the G-INT subtype were related to carbohydrate and protein metabolism (fucosyltransferase 2 (FUT2)) and cell adhesion (lectin (LGALS4); cadherin 17, (CDH17)). The cell proliferation (aurora kinase B (AURKB)) and fatty acid metabolism (ELOVL family member 5 (ELOVL5)) functional annotations were enriched in G-DIF subtype.

This study also observed a significant interaction between the intrinsic subtypes and benefit with chemoradiation [7]. In vitro study, G-INT cell lines were sensitive to 5-fluorouracil (5-FU) and oxaliplatin, while G-DIF cell lines were more sensitive to cisplatin. Furthermore, these intrinsic subtypes were also related to the clinical outcomes and turned to be prognostic factors. The G-DIF patients had poor prognosis compared with the G-INT patients in multiple patient cohorts, even after controlling for tumor stage [7]. On the other hand, the Lauren’s classification did not show prognostic value. These results imply that clinically actionable information can be provided by genomic features. Intrinsic subtypes of GC might be used to determine prognosis and customize therapy.

Lei Subtypes

In 2013, Lei et al [1] provided another molecular classification of GC which was reproducible and biologically and therapeutically meaningful. After comparing gene expression patterns among 248 gastric tumors (Singaporean patients from the National Cancer Centre and hospitals of the National Healthcare Group, Australian patients from the Peter MacCallum Cancer Centre in Melbourne), Lei et al [1] classified GCs into three independent subtypes: proliferative, metabolic, and mesenchymal (Table 2 [1]). These subgroups have different molecular and genetic features and different response to therapy.

Table 2. Lei Subtypes.

	Proliferative GC	Metabolic GC	Mesenchymal GC
Histology	Intestinal (73.6%)	Intestinal (53.6%)	Diffuse (58.2%)
Molecular alterations	Characterized by gene sets related to the cell cycle: KEGG cell cycle, KEGG DNA replication, and 13 GO gene sets	Characterized by gene sets from several KEGG metabolism pathways and GO digestion	Over-represents the following gene sets: KEGG focal adhesion, KEGG extracellular-matrix–receptor interaction, and GO cell adhesion
	High number of TP53 mutations	Low TP53 mutations	Low TP53 mutations
Druggable targets			The PI3K-AKT-mTOR pathway could be an effective drug target
Treatment reaction		More sensitive to 5-fluorouracil treatment	The cell lines of this subtype were particularly sensitive to compounds targeting the PI3K/AKT/mTOR inhibitors in vitro study
Prognosis	Shorter disease-free survival

GC: gastric cancer; KEGG: Kyoto Encyclopedia of Genes and Genomes; GO: gene ontology; PI3K/Akt/mTOR: phosphatidylinositol 3-kinase-AKT-mTOR; DNA: deoxyribonucleic acid.

The mesenchymal subtype over-represents the following gene sets: Kyoto Encyclopedia of Genes and Genomes (KEGG) focal adhesion, KEGG extracellular-matrix-receptor interaction, and Gene Ontology (GO) cell adhesion. The proliferative subtype was characterized by gene sets related to the cell cycle: KEGG cell cycle, KEGG deoxyribonucleic acid (DNA) replication, and 13 GO gene sets. The metabolic subtype was characterized by gene sets from several KEGG metabolism pathways and GO digestion. The proliferative subtype was accompanied by high number of TP53 mutations while the rest two subtypes both showed a low number of TP53 mutations.

Mesenchymal-subtype gastric adenocarcinomas show cancer stem cell-like properties. The cell lines of this subtype are particularly sensitive to compounds targeting the phosphatidylinositol 3-kinase-AKT-mTOR (PI3K/Akt/mTOR) inhibitors in vitro study [8]. The metabolic subtype GCs were more sensitive to 5-FU treatment than the other subtypes. The proliferative-subtype patients had shorter disease-free survival than the other subtypes in multivariate analysis [1]. This classification of GC could guide development of therapies tailored to the molecular subtypes.

The Cancer Genome Atlas (TCGA) Subtypes

The most comprehensive molecular characterization of gastric adenocarcinoma was reported by TCGA Research Network in 2014 [9]. This study provided a roadmap for patient stratification and trials of targeted therapies. As part of TCGA project, 295 primary gastric adenocarcinomas were evaluated using six molecular platforms including array-based somatic copy number analysis, whole-exome sequencing, array-based DNA methylation profiling, messenger ribonucleic acid (RNA) sequencing, microRNA (miRNA) sequencing and reverse-phase protein array (RPPA). Microsatellite instability (MSI) testing was performed on all tumors. This study proposed a molecular classification dividing GC into four subtypes: tumors positive for Epstein-Barr virus (EBV) (8.8% samples), microsatellite unstable tumors (21.7% samples), genomically stable tumors (19.7% samples), and tumors with chromosomal instability (49.8% samples) (Table 3 [9]).

Table 3. TCGA Subtypes.

Subtypes	EBV-positive	MSI	GS	CIN
Frequency	8.8%	21.7%	19.7%	49.8%
Demographic	Male patients (81%)	Old age (median 72 years)	Young age (median 59 years)	No special
Histology			Diffuse histology	Intestinal histology
Main location	Fundus or body (62%)			Gastro-esophageal junction/cardia (65%)
Molecular alterations	EBV-CpG island methylator phenotype (CIMP)	Gastric-CIMP	CDH1, RHOA mutation	TP53 mutation
	PD-L1/2, JAK2 overexpression	Hypermutation in TP53, PIK3CA, ERBB3, ARID1A	CLDN18-ARHGAP fusion	RTK-RAS activation
	Mutation in PIK3CA, ARID1A, BCOR	MLH1 silencing	Cell adhesion, angiogenesis pathways enriched	Mutations of SMAD4 and APC
	CDKN2A silencing	Mitotic pathways activation	Rare TP53 mutations
	Immune cell signaling	Commune changes in the genes of CMHI
	Rare TP53 mutations
Potential targets	PIK3CA, JAK2, PD-L1/PD-L2	PIK3CA, ERBB2/3, EGFR, PD-L1, MLH1 silencing	RHOA, CLDN18	RTKs, EGFR, VEGFA, CCNE1, CCND1, CDK6
Treatment reaction		No respond to adjuvant chemotherapy

ARID1A: AT-rich interactive domain-containing protein 1A; BCOR: B-cell lymphoma 6 corepressor; CIN: chromosomal instability; GS: genomically stable; GC: gastric cancer; CIMP: CpG island methylator phenotype; DNMT3b: DNA methyltransferase 3b; EBV: Epstein-Barr virus; EGFR: epithelial growth factor receptor; ERBB2: Erb-B2 receptor tyrosine kinase 2; JAK2: Janus-associated kinase 2; LMP2A: latent membrane protein 2A; LELC: lymphoepithelioma-like carcinoma; MSI: microsatellite instability; PI3K: phosphatidylinositol-3-kinase; RHOA: Ras homolog family member A; TCGA: The Cancer Genome Atlas; PD-L1/2: programmed death ligand-1/2; CDK6: cell division protein kinase 6.

EBV-positive GC

This subtype of GC were mostly located in the gastric fundus or body (62%), absent of intestinal metaplasia, and were more frequently found in male patients (81%) [9]. This subtype was characterized by high EBV burden, extreme DNA hypermethylation, recurrent mutations in phosphatidylinositol 3-kinase (PIK3CA), AT-rich interactive domain-containing protein 1A (ARID1A) and B-cell lymphoma 6 corepressor (BCOR) mutations, programmed death ligand-1/2 (PD-L1/2) overexpression, amplification of Janus-associated kinase 2 (JAK2), and Erb-B2 receptor tyrosine kinase 2 (ERBB2). This classification suggests potential therapeutic role for phosphatidylinositol-3-kinase (PI3K) inhibitors, JAK2 inhibitors and immune checkpoint antagonists.

This molecular subtype is due to infection by the EBV. Early entry of the virus into a single host cell leads to clonal expansion and cancer development [10, 11]. In the latent state of infection, the virus is always in clonal episomal form [12].

Nine well-recognized viral genes (BARF0, BARF1, BcLF1, BHRF1, BLLF1, BRLF1, BZLF1, EBNA1, and latent membrane protein 2A (LMP2A)) are highly expressed in EBV-positive GC [13-16]. Some of these genes have oncogenic potential [13]. Expression of LMP2A is involved in up-regulation of survivin protein, which activates cellular DNA methyltransferase 3b (DNMT3b), causing genome-wide aberrant methylation in host cells [13, 17]. The typical genetic and epigenetic alterations define EBV-positive GC as a specific subtype of GC.

Microsatellite instability (MSI) GC

This subtype was diagnosed at an older age (median age 72 years), with a slightly higher prevalence in female patients (56%). This subtype is mostly due to promoter methylation which can lead to transcriptional silencing of the DNA mismatch repair gene MLH1, resulting in a form of genomic instability known as microsatellite instability [18]. It showed elevated mutation rates, including mutations of genes encoding targetable oncogenic signaling proteins. Mutations in PIK3CA, epithelial growth factor receptor (EGFR), ERBB2, and ERBB3 were observed. The frequent frameshift mutations in repeat tracts of DNA cause inactivating mutations of key tumor suppressors, or frequent missense-activating mutations in oncogenes [19, 20]. The MSI GC also had a high rate of PD-L1 expression.

MSI GCs have a predilection for antral location. They are associated with Helicobacter pylori (HP) infection, as well as intestinal metaplasia [19]. There is accompanying intense reactive lymphoid infiltration in both EBV and MSI subtypes. The EBV-positive type occasionally displays the lymphoepithelioma-like carcinoma (LELC) phenotype. Both molecular subtypes have been shown to display the CpG island methylator phenotype (CIMP) [16, 17, 21]. Also, both molecular subtypes are more commonly associated with intestinal histology.

Genomically stable (GS) GC

This subtype was signified by tumors with low somatic copy-number aberrations, and diagnosed more frequently in younger patients (median age 59 years). It was enriched for the diffuse histological variant. The GS tumors exhibited elevated expression of molecules in the cell adhesion and angiogenesis-related pathways, such as recurrent mutations of E-cadherin (CDH1), Ras homolog family member A (RHOA). The CDH1 mutations underlie hereditary diffuse GC syndrome. The RHOA mutations or CLDN18-ARHGAP rearrangements may enhance invasiveness and disrupt intercellular cohesion and contribute to the diffuse histology found in 73% of this subtype.

Chromosomal instability (CIN) GC

The CIN GCs were found more frequently in the gastroesophageal junction/cardia (65%), and exhibited an intestinal histology. It shows marked aneuploidy and focal activation of receptor tyrosine kinases-Ras (RTK/RAS) pathway. Amplification of ERBB2 (24%), KRAS/NRAS (18%), EGFR (10%), ERBB3 (8%), FGFR2 (8%), and MET (8%) were observed. This subtype also shows high frequency of TP53 mutations (73%), amplification of genes encoding cell cycle mediators, such as cyclins E1, D1 (CCNE1, CCND1) and cell division protein kinase 6 (CDK6). These findings are clinically important as they could be good therapeutic targets.

Several target drugs, trastuzumab (human epidermal growth factor receptor 2 (HER2) inhibitor), bevacizumab (vascular endothelial growth factor (VEGF) inhibitor) and ramucirumab (vascular endothelial growth factor receptor-2 (VEGFR2) inhibitor), were shown to be effective for treatment of GC. Other target drugs focusing on specific cancers with amplification of RTKs (e.g. cetuximab and panitumumab for EGFR, onartuzumab for MET, pertuzumab for HER2, and lapatinib for EGFR/HER2) could be effective anticancer strategies in GC [22-24]. There are also some other targeted agents including SMO inhibitors (sonidegib, buparlisib), PI3K inhibitors (BYL719, BKM120), AKT inhibitors (MK2206, GDC-0068), mTOR inhibitors (everolimus), and HGF/MET inhibitors (rilotumumab, onartuzumab, ABT-700, AMG337) [25].

Although the TCGA group was able to delineate four molecularly distinct subtypes of GC, no associated survival difference was observed within its cohort. Subsequently, retrospective studies reviewed that patients with the CIN subtype had the greatest survival benefit with adjuvant chemotherapy, whereas the GS subtype patients had the least associated benefit with adjuvant chemotherapy [26].

Asian Cancer Research Group (ACRG) Subtypes

In 2015, by using the gene expression, genome-wide copy number microarray and targeted sequencing, the ACRG established clinically relevant molecular subtypes that could encompass the heterogeneity of GC and provide useful clinical information [27]. They analyzed the mRNA expression level of 300 tumors and classified them as MSI-high (22.7% samples), microsatellite stable/epithelial-mesenchymal transition (MSS/EMT, 15.3% samples), microsatellite stable/epithelial/TP53 intact (MSS/TP53+, p53 active, 26.3% samples), and microsatellite stable/epithelial/TP53 loss (MSS/TP53-, p53 inactive, 35.7% samples) [27, 28] (Table 4 [27]). Each molecular subtype is associated with distinct prognosis.

Table 4. ACRG Subtypes.

Subtypes	MSI GC	MSS/EMT GC	MSS/TP53- GC	MSS/TP53+ GC
Frequency	22.7%	15.3%	35.7%	26.3%
Demographic		Diagnosed at a significantly younger age	Male	Male
Histology	Intestinal histology (> 60%)	Diffuse histology (> 80%)	Intestinal histology	Intestinal histology
Molecular alterations	Silencing of MLH1 gene	Loss of CDH1	Highest prevalence of TP53 and RHOA mutations	Frequent EBV infection
	Mutations in ARID1A, MTOR, KRAS, PIK3CA, ALK, PTEN	Loss of cellular adhesion, angiogenesis, motility	APC, ARID1A, KRAS, PIK3CA, SMAD4 enriched	Frequent mutations in ARID1A, PIK3CA, SMAD4, APC
	Overexpression of PD-L1
	T cell infiltrate
Prognosis	Best overall prognosis, lowest recurrence rate (22%)	Worst prognosis, highest recurrence rate	Intermediate	Intermediate

ACRG: Asian Cancer Research Group; ARID1A: AT-rich interactive domain-containing protein 1A; CDH1: E-cadherin; GC: gastric cancer; MSS/EMT: microsatellite stable/epithelial-mesenchymal transition; MSS/TP53+: microsatellite stable/epithelial/TP53 intact; MSS/TP53-: microsatellite stable/epithelial/TP53 loss; MSI: microsatellite instability; PI3K: phosphatidylinositol-3-kinase; RHOA: Ras homolog family member A; PD-L1: programmed death ligand-1.

MSI-high GC

GCs of this subtype were found more frequently in the antrum (75%), and exhibited an intestinal histology (> 60% Lauren intestinal type). More than half of the cases were diagnosed at early stages. This subtype was associated with hypermutation in genes such as ARID1A (44.2%), the PI3K-PTEN-mTOR pathway (42%), KRAS (23.3%), and ALK (16.3%). This subtype had the best prognosis and lowest frequency of recurrence (22%) of the four subtypes. Liver-limited metastasis was dominant in 23% (6/26) of the MSI subtype and 21% (18/85) of the MSS/TP53- subtype, while the percentages in MSS/EMT subtype and MSS/T53+ subtype were 4.6% (3/64) and 8% (5/61). This further reinforced the clinical relevance of this classification.

MSS/EMT GC

GCs of this subtype were mostly diagnosed at a significantly younger age at advanced stages (III/IV), and exhibited diffuse-type histology (> 80%). Tumor of this subtype had a lower number of mutation events. The MSS/EMT subtype had the worst prognosis and the highest recurrence frequency (63%) compared to other subgroups. Peritoneal seeding was also frequently observed in this subtype (64.1%) compared with others. This subtype also included a large set of signet ring cell carcinomas and showed loss of CDH1 expression.

MSS/TP53+ GC

This subtype has a higher prevalence of mutations in APC, ARID1A, KRAS, PIK3CA, and SMAD4 compared with the MSS/TP53- subtype. EBV infection was more frequently observed in this subgroup compared to other groups. This subtype had the second best prognosis after MSI subtype.

MSS/TP53- GC

This subgroup had the highest rate of TP53 mutations (60%) with a low frequency of other mutations. Recurrent focal amplifications in ERBB2, EGFR, CCNE1, CCND1, MDM2, ROBO2, GATA6, and MYC were commonly observed in tumors of this subtype.

EBV, MSI, CIN, and GS subtypes in TCGA correspond to the MSS/TP53+, MSI, MSS/TP53-, and MSS/EMT subtypes in ACRG. However, there were differences between the two classifications. The TCGA CIN and GS subtypes were observed across all ACRG subtypes. CDH1 mutations were more frequently observed in the GS subtype of TCGA (37%) compared to the MSS/EMT subtype of ACRG (2.8%). As one of main characteristics of the TCGA GS subtype, RHOA mutations were rarely detected in the ACRG MSS/EMT subtype, but were detected in the ACRG MSS/TP53- and MSS/TP53+ subtypes [29]. The main reasons for the partial overlap of these two classifications may be the different patient populations, tumor sampling, and technological platforms.

Additional Subtypes Based on the TCGA and ACRG Classifications

Setia et al [30] examined the expression of 14 biomarkers in a cohort of 146 gastric adenocarcinomas and performed unsupervised hierarchical clustering analysis using immunohistochemistry and in situ hybridization. They identified five groups of GC including EBV-positive GC (EBV GC, 5% samples), microsatellite-instable GC (MSI-H GC, 16% samples), and GC with aberrant E-cadherin expression (21% samples), GC with aberrant p53 expression (51% samples), and GC with normal p53 expression (7% samples). The EBV GC showed a strong association with PD-L1. The MSI-H GC was associated with a lower frequency of nodal metastasis. The GC with aberrant E-cadherin subtype was associated with Lauren diffuse GC and had an aberrant pattern of E-cadherin staining. The GC with normal p53 had a MUC6 overexpression. The GC with aberrant p53 was associated with Lauren intestinal type GC and higher lymph node stage. The EBV and microsatellite-instable related adenocarcinomas showed a trend for superior survival. The five categories correspond to the TCGA and ACRG molecular subgroups. The authors offer a simplified and less expensive algorithm.

Ahn et al [31] classified a cohort of 349 successive gastric adenocarcinomas into five subtypes, on the basis of protein or mRNA expression of MLH1, E-cadherin, p53, and EBV. They found that these subtypes presented distinct clinicopathologic characteristics and corresponded to the ACRG and TCGA classifications. These five subtypes are EBV-positive tumors (EBV, 7.4% samples), aberrant MLH1 expression (MSI, 6.9% samples), aberrant E-cadherin expression (MSS/EMT, 15.2% samples), aberrant p53 expression (MSS/p53+, 49.0% samples), and normal p53 expression ((MSS/p53-, 21.5% samples). The EBV tumors were mostly poorly differentiated type, following by molecular features: PIK3CA, ARID1A, BCOR mutation, CDKN2A promoter hypermethylation, PD-L1, PD-L2, and JAK2 amplification. The MSI tumors were mostly well and moderately differentiated type, accompanied by the following molecular features: MLH1 promoter hypermethylation, mutations in PIK3CA, ERBB2, ERBB3, EGFR, and ARID1. The EMT tumors were mostly diffuse type by Lauren’s classification with CDH1, RHOA mutations. The MSS/P53+ tumors exhibited the molecular features including high TP53 mutation and HER2, EGFR, CCNE1, CCND1, MDM2, ROBO2, GATA6, and MYC amplification. The MSS/P53- tumors showed intermediate level of mutations (APC/KRAS/ARID1/PI3K/SMAD4). The EBV and MSI tumors showed better overall survival than the other types. The EMT tumors showed the poorest overall survival.

These studies all reproduced the previously reported molecular classification of GC using immunohistochemical analysis and in situ hybridization. In the foreseeable future, these methods may be used in clinical setting.

Additional Subtypes and Classifications of GC

The CIMP characterized by simultaneous methylation of the CpG islands of multiple genes, has been recognized as one of the most important mechanisms in gastrointestinal carcinogenesis [32]. Kusano et al [16] compared the clinicopathologic features of gastric carcinomas that had high CIMP methylation (CIMP-H) with tumors that had low CIMP methylation (CIMP-L) or negative CIMP methylation (CIMP-N). In their study, CIMP status was associated with distinct genetic, epigenetic, and clinicopathologic features in gastric carcinomas. Proximal location and less advanced pathologic TNM status contributed significantly to CIMP-H. Patients who had CIMP-N GC had the worst survival. EBV-associated tumors were associated strongly with CIMP-H.

However, the existence of a comparable CIMP subtype in GC has not been clearly established. To further investigate this issue, Loh et al [33] performed comprehensive DNA methylation profiling of a well-characterized series of primary GC. The methylation status of 1,421 autosomal CpG sites located within 768 cancer-related genes was investigated. Unsupervised clustering of methylation data revealed the existence of six subgroups under two main clusters, referred to as L (low methylation; 28% samples) and H (high methylation; 72% samples). The highly methylated group showed some features consistent with CIMP. No other significant differences in clinicopathological or molecular features were apparent, except that female patients were over-represented in the H tumor group.

As the complete spectrum of genetic changes in GC remains largely undefined, Wong et al [28] performed whole-genome sequencing of 49 GCs with diffuse (n = 31) and intestinal (n = 18) histological subtypes and identified three mutational signatures, impacting TpT, CpG and TpCp (A/T) nucleotides. This study has provided an enhanced roadmap for the understanding of gastric adenocarcinoma with implications for future research.

Conclusions

To date, there is still a long way to go to classify GC into molecular subtypes perfectly. With the development of biotechnology, the molecular classification of GC will be more precise. The future GC treatment would be a clinical-pathological-molecular combined classification and guided individualized approach.

Financial Disclosure

None to declare.

Conflict of Interest

None to declare.

Author Contributions

Qianqian Wang contributed to drafting and revising the article. Chunhong Hu and Ganglei Liu contributed to revising the article.

Abbreviations

CIMP

CpG island methylator phenotype

GC

gastric cancer

GCA

gastric cardia adenocarcinoma

GNCA

gastric noncardia adenocarcinoma

G-INT

genomic intestinal

G-DIF

genomic diffuse