The epithelial-mesenchymal axis frames gastric cancer heterogeneity but mainly captures phenotypic extremes. CCNE1 gain, encompassing amplification or Cyclin E1 overexpression, represents one intermediate state linked to chromosomal instability and therapeutic resistance.
However, its clinicopathologic identity and immune features in gastric cancer remain insufficiently characterised. We analysed 1273 gastric cancer patients across six independent cohorts: ZSHS ( n = 453), TCGA ( n = 410), ACRG ( n = 300), SMC ( n = 43), MSKCC ( n = 22), and ZSHS NGS cohort ( n = 45).
Tumours were classified into CCNE1 gain, epithelial, or mesenchymal subtypes using protein, copy-number, or transcript-level data. Clinicopathologic features, survival outcomes, treatment responses, and immune contexture were evaluated across subtypes.
CCNE1 gain tumours retained E-cadherin positivity but showed increased proliferation, more nerve and venous invasion. They were associated with poor prognosis and reduced response to adjuvant chemotherapy, HER2-targeted therapy, anti-angiogenic agents, and PD-1 blockade independent of epithelial-mesenchymal classification.
The immune contexture exhibited an immune-desert phenotype with reduced lymphocyte infiltration, impaired cytotoxicity, increased M2 macrophage polarisation, and elevated TGF-β.
Unambiguous delineation of a CCNE1-driven gastric cancer subtype and its immune milieu
The aim was to characterize tumors with CCNE1 gain, defined by amplification or Cyclin E1 overexpression, relative to epithelial and mesenchymal states across clinicopathologic features, outcomes, and immune contexture.
The analysis encompassed clinicopathologic attributes, survival, treatment responses, and immune phenotype.
It identifies a subset comprising more than 10% of gastric cancer patients in the pooled datasets who exhibit a paradox of preserved epithelial morphology alongside aggressive proliferation, invasion, and immune evasion.
However, the source does not provide quantitative treatment response rates or outcome metrics beyond qualitative statements of reduced responsiveness and prognosis.
Quantitative depth and mechanistic detail are limited in the provided content, and explicit numerical outcomes are not included.