ArticleGenome biology2020
A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk.
Article in Genome biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.
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Who cites it
27 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.
- MicroRNAs in Tumor Endothelial Cells: Regulation, Function and Therapeutic Applications.Cells · 2023Pooled it
- The exosomal miRNA/FOXN3 axis empowers fibroblasts with tumor-promoting functions via enhanced migration and altered secretome.Journal of nanobiotechnology · 2026Article
- TLR7 induces autophagy in non-small cell lung cancer tumor cells and influences anti-tumors responses in patients.Translational lung cancer research · 2026Article
- Improving Immune Checkpoint Therapy in the Tumor Microenvironment by Targeting T Cell Metabolism.Endocrine, metabolic & immune disorders drug targets · 2026Review
- The Role of GREMLIN1, a Bone Morphogenetic Protein Antagonist, in Cancer Stem Cell Regulation.Cells · 2025Review
- Transcriptome size matters for single-cell RNA-seq normalization and bulk deconvolution.Nature communications · 2025Article
- A comprehensive prognostic and immunological implications of Gremlin 1 in lung adenocarcinoma.Frontiers in immunology · 2025Article
- Single-Cell Analysis Identifies NOTCH3-Mediated Interactions between Stromal Cells That Promote Microenvironment Remodeling and Invasion in Lung Adenocarcinoma.Cancer research · 2024Article
- Immune Gene Networks from Lung Cancer Patients Treated with Immune Checkpoint Inhibitors.Biomedicines · 2024Article
- High-resolution transcriptomics analysis of CXCL13Journal of thoracic disease · 2024Article
- Population-based high-dimensional analyses identify multiple intrinsic characters for cancer vaccines against lung squamous cell carcinoma.Medical oncology (Northwood, London, England) · 2024Article
- Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux.Nature communications · 2023Article
- Thymidine phosphorylase facilitates retinoic acid inducible gene-I induced endothelial dysfunction.Cell death & disease · 2023Article
- Single-cell analysis reveals prognostic fibroblast subpopulations linked to molecular and immunological subtypes of lung cancer.Nature communications · 2023Article
- Proteogenomic analysis of lung adenocarcinoma reveals tumor heterogeneity, survival determinants, and therapeutically relevant pathways.Cell reports. Medicine · 2022Article
- Article
- Adenocarcinomas of the Lung and Neurotrophin System: A Review.Biomedicines · 2022Review
- Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis.Biology · 2022Article
- Deconvolving Clinically Relevant Cellular Immune Cross-talk from Bulk Gene Expression Using CODEFACS and LIRICS Stratifies Patients with Melanoma to Anti-PD-1 Therapy.Cancer discovery · 2022Article
- Reconstructing codependent cellular cross-talk in lung adenocarcinoma using REMI.Science advances · 2022Article
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Authors and funding
20 authors at 7 institutions in 2 countries.
Funding
Abstract
backgroundTumors comprise a complex microenvironment of interacting malignant and stromal cell types. Much of our understanding of the tumor microenvironment comes from in vitro studies isolating the interactions between malignant cells and a single stromal cell type, often along a single pathway.
resultTo develop a deeper understanding of the interactions between cells within human lung tumors, we perform RNA-seq profiling of flow-sorted malignant cells, endothelial cells, immune cells, fibroblasts, and bulk cells from freshly resected human primary non-small-cell lung tumors. We map the cell-specific differential expression of prognostically associated secreted factors and cell surface genes, and computationally reconstruct cross-talk between these cell types to generate a novel resource called the Lung Tumor Microenvironment Interactome (LTMI). Using this resource, we identify and validate a prognostically unfavorable influence of Gremlin-1 production by fibroblasts on proliferation of malignant lung adenocarcinoma cells. We also find a prognostically favorable association between infiltration of mast cells and less aggressive tumor cell behavior.
conclusionThese results illustrate the utility of the LTMI as a resource for generating hypotheses concerning tumor-microenvironment interactions that may have prognostic and therapeutic relevance.
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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.