ArticleNature cell biology2026
SLC2A1
Article in Nature cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Spatial and Temporal Heterogeneity of Macrophage Efferocytosis in Tumors: Emerging Implications for Immunotherapy Biomarkers and Therapeutic Timing.Cancer medicine · 2026Review
- Spatial ecotype in tumor immune exclusion: from spatial architecture to therapeutic strategies.Molecular cancer · 2026Review
- Research trends in cytokine regulation of immunotherapy in non-small cell lung cancer: a bibliometric and BERTopic analysis from 2015 to 2025.Journal of thoracic disease · 2026Article
- Fibroblast-specific ablation of MHC-I antigen presentation via the IGF2 axis cripples CD8Science advances · 2026Article
- Multi-omics investigation of per- and polyfluoroalkyl substances in lung adenocarcinoma: comprehensive network toxicology, machine learning and molecular docking experiments.Molecular diversity · 2026Article
- Emotional distress is associated with neuroendocrine-immune remodeling and less favorable neoadjuvant immunotherapy outcomes in oral squamous cell carcinoma.Frontiers in immunology · 2026Article
- Glioma-intrinsic SLC1A3 hijacks the vascular niche to establish an immunosuppressive microenvironment.Frontiers in immunology · 2026Article
- Deciphering immunosuppressive niches by spatial single-cell proteomics: spatial interaction networks and translational opportunities.Frontiers in immunology · 2026Review
- From description to prediction: a multi-database bibliometric forecast-validation study of lung cancer and tumor-associated macrophages research (2005-2025).Frontiers in immunology · 2026Review
- CLEVER-1Frontiers in immunology · 2026Review
- GAS6 potentiates tumor progression through modulating suppressive microenvironments.American journal of cancer research · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
21 authors.
Funding
Abstract
Tumour-associated macrophages (TAMs) contribute to immune checkpoint blockade resistance, but their impact on intratumoural CD8⁺ T cell distribution remains unclear. Here we show that the expression of the glucose transporter SLC2A1 is spatially negatively correlated with CD8⁺ T cell distribution in both non-small-cell lung cancer (NSCLC) biopsies and murine tumour models. Tumour cell-specific Slc2a1 knockdown fails to reproduce the therapeutic benefit of SLC2A1 inhibition, whereas TAM-specific deletion of Slc2a1 suppresses tumour growth by enhancing the spatial homogeneity and effector function of intratumoural CD8⁺ T cells, thereby improving αPD-L1 efficacy. Spatial profiling of NSCLC specimens further revealed that SLC2A1⁺ TAM-enriched regions exhibit reduced CD8⁺ T cell density, and spatial proximity between these populations predicts resistance to αPD-(L)1 therapy. These findings identify SLC2A1⁺ TAMs as drivers of spatial CD8⁺ T cell exclusion and highlight TAM-specific SLC2A1 as a therapeutic target to overcome immune checkpoint blockade resistance in NSCLC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.