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Spatial immune-ecology framework proposed for gastric and GEJ adenocarcinoma ICI selectionSpatial Features Help Map Immune Responses in Stomach Cancer

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Key Takeaway
Recognize spatial immune features as research tools, not validated ICI selection biomarkers.

This narrative guideline review addresses how the spatial organization of the immune microenvironment in advanced gastric and gastroesophageal junction adenocarcinoma might inform the use of immune checkpoint inhibitors. The authors synthesize a framework that categorizes these tumors into five spatial immune-ecology patterns: immune-desert, immune-excluded, inflamed-dysfunctional, tertiary lymphoid structure-rich immune-active, and metastatic-niche ecosystems.

The review emphasizes three organizing concepts: immune accessibility, immune competence, and immune suppression. Within this framework, specific spatial features are discussed, including tumor-nest CD8+ infiltration, tertiary lymphoid structure maturity, LAMP3+ dendritic-cell proximity, cancer-associated fibroblast-myeloid barriers, and lesion-level biomarker discordance.

The authors state that these spatial features are currently regarded as complements to guideline-supported biomarkers and as pharmacodynamic endpoints, not as independent treatment-selection tools. They also note that spatial features have not been tested prospectively in gastric and gastroesophageal junction immune-checkpoint-inhibitor outcome-linked cohorts.

No adverse events, tolerability data, or comparative outcomes are reported in this review. The practice relevance is that while spatial features provide a framework for understanding resistance, they are not yet validated for selecting patients for immune checkpoint inhibitors. The review does not provide pooled effect sizes or prospective validation data.

How this fits prior evidence

This narrative guideline review extends prior coverage of immune checkpoint inhibitor biomarkers by proposing a spatial immune-ecology framework for gastric and gastroesophageal junction adenocarcinoma. It complements earlier notes on nurse-coordinated monitoring for ICI safety and gut microbiome correlates in hepatocellular carcinoma, which similarly address non-traditional biomarkers. It also aligns with prior findings that BRAF mutations correlate with poorer survival in MSI-H/dMMR mCRC and that adding chemotherapy to ICI monotherapy in high PD-L1 NSCLC does not consistently improve survival, reinforcing that single biomarkers are insufficient. The review contrasts with the CLDN18.2 prevalence finding by focusing on spatial features rather than expression rates.

Researchers reviewed how the immune system interacts with advanced gastric and gastroesophageal junction adenocarcinoma. They identified different types of environments where these tumors grow, ranging from areas with little immune activity to those with high immune activity. This framework helps scientists understand the complex landscape of the cancer.

While these spatial features provide a helpful way to study why some patients might resist treatment, they are not yet used alone to choose specific therapies. The study notes that specific markers, such as certain cell types or tissue barriers, are currently used as tools to study how drugs work rather than as independent ways to pick a treatment for a patient.

Because these spatial features have not been tested in large, forward-looking studies, they are not yet ready to change standard medical practice. For now, they serve as a way for researchers to better understand the biology of the disease. Patients should continue to follow current medical guidelines for treatment selection.

What this means for you:
Spatial features help map immune activity in stomach cancer but are not yet used to choose specific treatments.

Common questions

What are the different types of immune environments found in these cancers?

The review identifies five different types of environments where these cancers grow. These include immune-desert, immune-excluded, inflamed-dysfunctional, tertiary lymphoid structure-rich immune-active, and metastatic-niche ecosystems. These categories help researchers understand how the immune system interacts with the tumor.

Can these spatial features be used to choose a patient's treatment right now?

Currently, these spatial features are not used as independent tools to select patients for immune checkpoint inhibitors. They are used as a framework to understand resistance and as ways to measure how drugs work, but they have not been tested in prospective studies to guide individual treatment choices.

Study Details

Study typeGuideline
EvidenceLevel 5
PublishedJul 2026
View Original Abstract ↓
Immune checkpoint inhibitors now occupy a central place in the management of advanced gastric and gastroesophageal junction adenocarcinoma, yet durable benefit remains uneven across patients, lesions, and metastatic sites. Conventional biomarkers, including programmed death-ligand 1 scoring, microsatellite instability or mismatch-repair deficiency, HER2, claudin 18.2, Epstein-Barr virus status, and tumor mutational burden, define important clinical and biological contexts but do not fully explain whether antitumor immunity can reach, recognize, and control malignant tissue. This narrative Review uses a spatial immune-ecology lens to interpret immunotherapy resistance through three linked tissue-level axes: immune accessibility, immune competence, and immune suppression. Within this framework, gastric and gastroesophageal junction adenocarcinoma can be organized into immune-desert, immune-excluded, inflamed-dysfunctional, tertiary lymphoid structure-rich immune-active, and metastatic-niche ecosystems, with particular emphasis on peritoneal and liver metastases. We distinguish gastric or gastric/gastroesophageal junction immune-checkpoint-inhibitor outcome-linked evidence from gastric spatial-biology or prognostic evidence, pan-cancer mechanisms, and more exploratory concepts. For now, spatial features such as tumor-nest CD8+ infiltration, tertiary lymphoid structure maturity, LAMP3+ dendritic-cell proximity, cancer-associated fibroblast-myeloid barriers, and lesion-level biomarker discordance are best regarded as complements to guideline-supported biomarkers and as pharmacodynamic endpoints, rather than independent treatment-selection tools, until they are tested prospectively in gastric and gastroesophageal junction immune-checkpoint-inhibitor outcome-linked cohorts.
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