The study defines two gastric cancer molecular subtypes via unsupervised clustering of the Korea University Guro Hospital cohort (n=93): a mesenchymal phenotype (MP) subtype whose gene expression resembles gastrointestinal stromal tumor (GIST), and an epithelial phenotype (EP) subtype. The 299-gene MP signature, applied via Bayesian compound covariate predictor, was validated in five independent cohorts spanning Korea and the US (YUSH n=65, KUCM n=109, SMC n=432, ACRG n=300, MDACC n=40), all showing significantly worse overall and recurrence-free survival for MP (P β€ 0.01 across cohorts) . In multivariate Cox regression on the pooled cohort (n=999), MP subtype remained an independent prognostic factor for recurrence-free survival (HR 1.7, 95% CI 1.36β2.2, P = 2.7Γ10β»βΆ), and stratified risk within all AJCC stages .
In a subset of 180 patients (AJCC IIβIV without distant metastasis, 132 receiving adjuvant chemotherapy), EP tumors showed a clear benefit: 3-year RFS 70.1% with chemotherapy vs 43.4% without (P=0.003, HR 0.42). MP tumors showed no benefit: 44.8% vs 42.1% (P=0.98), with a significant subtype-by-treatment interaction (P=0.01) .
Using TCGA data (n=262), MP tumors had significantly lower somatic mutation rates (P=2.4Γ10β»βΈ), microsatellite stability, intact MLH1, and reduced copy-number loss, consistent with an intact DNA repair system . Mechanistically, IGF1 was upregulated in MP via promoter hypomethylation or gene amplification (11/70 MP tumors amplified IGF1), and phospho-IGF1R was elevated (P=3.2Γ10β»β΄). IGF1-expressing (MP-like) cell lines (Hs746T, SNU1, MKN74) were dose-dependently sensitive to the IGF1R inhibitor linsitinib, and SNU1 and Hs746T xenografts responded with significantly delayed tumor growth and downregulated AKT/ERK signaling . The MP subtype overlapped but was not identical to prior classifications: it is largely a subset of genomic-diffuse (G-DIF) subtype, contains the ACRG EMT subtype, and overlaps substantially with TCGA genomically stable (GS) tumors (38/70 MP) . This converges with the ACRG finding that MSS/EMT tumors carry the worst recurrence rate (67.4%) .
Strengths: multi-cohort validation (n=1,039), multi-platform corroboration (mRNA, methylation, RPPA protein, miRNA), functional cell-line and xenograft tests, public GEO data access (GSE26899, GSE26901, GSE13861, GSE28541, GSE26253, GSE66229). Weaknesses the authors acknowledge: retrospective design; possible stromal-cell contribution to IGF1 expression (MP tumors have higher non-tumor content, and tumor cells could induce stromal IGF1 secretion); no prospective biomarker-driven trial. Additional BGPT-inferred blind spots: (1) the chemotherapy interaction analysis (n=132 treated) is underpowered for confident treatment stratification and lacks randomizationβselection bias in who received adjuvant therapy is unaddressed; (2) BCCP prediction models were trained and validated on microarray platforms of differing gene coverage, raising cross-platform classifier portability concerns the paper partially addresses via SVM concordance but not fully; (3) linsitinib monotherapy in two cell lines does not establish clinical efficacy, especially given prior high-profile failures of unselected IGF1R inhibition in NSCLC, breast, and pancreatic cancer trialsβenrichment biomarkers were precisely the missing element then; (4) early-stage (stage I) patients, who dominate resected cohorts, are less represented in the chemotherapy subset; (5) no immune-microenvironment characterization beyond CIBERSORT bulk estimates. Falsification would require prospective demonstration that MP/EP assignment fails to predict survival or that MP patients benefit from standard adjuvant chemotherapy in a randomized setting.
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