Evidence map›Paper›PMID 39786344›Full record

ArticleCancer immunology research2025

Host Tissue Factors Predict Immune Surveillance and Therapeutic Outcomes in Gastric Cancer.

Miseker Abate, Emily E Stroobant, Teng Fei, Ya-Hui Lin, Shoji Shimada, Harrison Drebin, Eunise Chen, Laura H Tang, Sohrab P Shah, Jedd D Wolchok and 3 more

Abstract read
In one paragraph

Article in Cancer immunology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Miseker Abate *Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5060-1208
Emily E Stroobant *Gastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6321-1695
Teng FeiDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-7888-1715
Ya-Hui LinHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-9874-0012
Shoji ShimadaGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-6701-4963
Harrison DrebinGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0009-0008-5836-7952
Eunise ChenDepartment of Surgery, University of Alabama at Birmingham, Heersink School of Medicine, Birmingham, Alabama.ORCID 0009-0005-2203-8258
Laura H TangDepartment of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5735-9354
Sohrab P ShahComputational Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-6402-523X
Jedd D WolchokDepartment of Medicine, Weill Cornell Medicine, New York, New York.ORCID 0000-0001-6718-2222
Yelena Y JanjigianGastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-5357-5858
Vivian E StrongGastric and Mixed Tumor Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0001-5044-1662
Santosha A VardhanaHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.ORCID 0000-0002-3100-1298

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Cycle for Survival NADamon Runyon Cancer Research Foundation (DRCRF) NANCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

The immune composition of solid tumors is typically inferred from biomarkers, such as histologic and molecular classifications, somatic mutational burden, and PD-L1 expression. However, the extent to which these biomarkers predict the immune landscape in gastric adenocarcinoma-an aggressive cancer often linked to chronic inflammation-remains poorly understood. We leveraged high-dimensional spectral cytometry to generate a comprehensive single-cell immune landscape of tumors, normal tissue, and lymph nodes from patients in the Western Hemisphere with gastric adenocarcinoma. The immune composition of gastric tumors could not be predicted by traditional metrics such as tumor histology, molecular classification, mutational burden, or PD-L1 expression via IHC. Instead, our findings revealed that innate immune surveillance within tumors could be anticipated by the immune profile of the normal gastric mucosa. Additionally, distinct T-cell states in the lymph nodes were linked to the accumulation of activated and memory-like CD8+ tumor-infiltrating lymphocytes. Unbiased reclassification of patients based on tumor-specific immune infiltrate generated four distinct subtypes with varying immune compositions. Tumors with a T cell-dominant immune subtype, which spanned The Cancer Genome Atlas molecular subtypes, were exclusively associated with superior responses to immunotherapy. Parallel analysis of metastatic gastric cancer patients treated with immune checkpoint blockade showed that patients who responded to immunotherapy had a pretreatment tumor composition that corresponded to a T cell-dominant immune subtype from our analysis. Taken together, this work identifies key host-specific factors associated with intratumoral immune composition in gastric cancer and offers an immunological classification system that can effectively identify patients likely to benefit from immune-based therapies.

Indexed as

AdenocarcinomaImmunologic SurveillanceStomach NeoplasmsB7-H1 AntigenBiomarkers, TumorCD8-Positive T-LymphocytesFemaleHumansImmunotherapyLymphocytes, Tumor-InfiltratingMaleMiddle AgedPrognosisTreatment OutcomeTumor MicroenvironmentB7-H1 AntigenBiomarkers, Tumor

Identifiers

PMID39786344
PMCPMC11964842

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.