ReviewCancers2023
Decoding the Complexity of Immune-Cancer Cell Interactions: Empowering the Future of Cancer Immunotherapy.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 52 citations in OpenAlex.
- Article
- Single-cell profiling of tumor lineage plasticity and the immune microenvironment in transformed small cell lung cancer.Journal of translational medicine · 2026Article
- Photocontrol of Non-Adherent Cell Adhesion via Azobenzene-PEG-Lipid/Cyclodextrin Host-Guest Interactions.International journal of molecular sciences · 2026Article
- Artificial Intelligence for Predicting Immunotherapy Efficacy in Non-Small Cell Lung Cancer.Journal of inflammation research · 2026Review
- The metabolic environment within solid tumors drives a complex crosstalk between macrophages and NK cells.Frontiers in immunology · 2026Review
- Exploring the prognostic value and biomarker of TEX11 in breast cancer via PANoptosis.Breast cancer (Tokyo, Japan) · 2026Article
- Advanced Microfluidics for Single Cell-Based Cancer Research.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
- QuadST identifies cell-cell interaction-changed genes in spatially resolved transcriptomics data.Genome research · 2025Article
- The SRG rat as a novel host for an orthotopic patient-derived xenograft model of breast cancer brain metastasis.Scientific reports · 2025Article
- Review
- Graphene Nanocomposites in the Targeting Tumor Microenvironment: Recent Advances in TME Reprogramming.International journal of molecular sciences · 2025Review
- Metabolic crossroads: unravelling immune cell dynamics in gastrointestinal cancer drug resistance.Cancer drug resistance (Alhambra, Calif.) · 2025Review
- The tumor immune microenvironment: implications for cancer immunotherapy, treatment strategies, and monitoring approaches.Frontiers in immunology · 2025Review
- Observational
- Review
- Neutrophils Recruited by NKX2-1 Suppression via Activation of CXCLs/CXCR2 Axis Promote Lung Adenocarcinoma Progression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Article
- HOXA9 versus HOXB9; particular focus on their controversial role in tumor pathogenesis.Journal of applied genetics · 2024Review
- Article
- Dendritic cell-related hub genes in head-and-neck squamous cell carcinoma: implications for prognosis and immunotherapy.Translational cancer research · 2024Article
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 at 1 institution in 1 country.
Funding
Abstract
The tumor and tumor microenvironment (TME) consist of a complex network of cells, including malignant, immune, fibroblast, and vascular cells, which communicate with each other. Disruptions in cell-cell communication within the TME, caused by a multitude of extrinsic and intrinsic factors, can contribute to tumorigenesis, hinder the host immune system, and enable tumor evasion. Understanding and addressing intercellular miscommunications in the TME are vital for combating these processes. The effectiveness of immunotherapy and the heterogeneous response observed among patients can be attributed to the intricate cellular communication between immune cells and cancer cells. To unravel these interactions, various experimental, statistical, and computational techniques have been developed. These include ligand-receptor analysis, intercellular proximity labeling approaches, and imaging-based methods, which provide insights into the distorted cell-cell interactions within the TME. By characterizing these interactions, we can enhance the design of cancer immunotherapy strategies. In this review, we present recent advancements in the field of mapping intercellular communication, with a particular focus on immune-tumor cellular interactions. By modeling these interactions, we can identify critical factors and develop strategies to improve immunotherapy response and overcome treatment resistance.
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.