ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Insights into the Mechanisms of Immune-Checkpoint Inhibitors Gained from Spatiotemporal Dynamics of the Tumor Microenvironment.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled 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.
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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Efficacy of PD-1/PD-L1 and LAG-3 immune checkpoint inhibitors in the treatment of patients with solid tumor.Frontiers in immunology · 2026Pooled it
- PGE2-mediated NK cell reprogramming drives acquired immunotherapy resistance in lung adenocarcinoma.Journal for immunotherapy of cancer · 2026Article
- Neutrophil-Macrophage Interactions Shape Inflammatory Macrophage Remodeling in Gastric Cancer During Chemo-Immunotherapy.Cancer science · 2026Article
- Organ-Specific Migration License (OSML) theory: a novel paradigm for spatiotemporal regulation and intervention of cross-organ immune cell migration in tumor immune responses.Cell communication and signaling : CCS · 2026Review
- Periodontitis-Induced Immune Reprogramming: Implications for Cancer Immunotherapy Response.Biomedicines · 2026Review
- Characteristics and therapeutic resistance mechanisms of the prostate cancer immune microenvironment: a comprehensive analysis from bench to clinic.Frontiers in pharmacology · 2026Review
- Deep learning-based radiomics and pathomics for decoding tumor microenvironment and predicting immunotherapy outcomes in gastric cancer.Frontiers in immunology · 2026Review
- Dynamic changes in peripheral blood lymphocyte subsets predict the efficacy and prognosis of immune checkpoint inhibitors in metastatic osteosarcoma.Frontiers in immunology · 2026Article
- Multi-dimensional omics integrated machine learning framework identifies macrophage-fibroblast-tumor co-infiltration patterns to predict prognosis in gastric cancer.NPJ digital medicine · 2025Article
- Insights into the Mechanisms of Immune-Checkpoint Inhibitors Gained from Spatiotemporal Dynamics of the Tumor Microenvironment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- Terminally exhausted CD8Frontiers in immunology · 2025Review
- Deciphering molecular pathways driving cancer invasion and metastasis: advances and therapeutic prospects.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Immunotherapy, particularly immune checkpoint inhibitors (ICIs), has revolutionized cancer treatment, yet durable responses are achieved in only a subset of patients. The tumor microenvironment (TME) plays a key role in cancer progression and immune modulation, critically influencing the efficacy of ICIs. Recent advances in single-cell technologies have enabled high-resolution profiling of the TME, particularly tumor-infiltrating immune cells, across diverse cancer types. However, our understanding of how immune cells shape ICI responses and how they are dynamically altered during treatment remains incomplete. In this review, we summarize recent progress in characterizing TME features associated with ICI responsiveness, highlighting key immune cell subsets involved in ICI therapy and emphasizing their phenotypic plasticity and functional adaptability following ICIs. Additionally, we outline the spatial architecture of the TME in terms of its effects on immune cell behavior and interactions, and discuss the critical role of stromal components and the microbiota in modulating the immune landscape and influencing ICI responsiveness. By integrating these insights, we aim to deepen our understanding of the cellular and molecular mechanisms underlying ICI responses, elucidate determinants of therapeutic sensitivity and resistance, and inform the development of more effective immunotherapeutic strategies.
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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.