ArticleCell genomics2022
Spatial intra-tumor heterogeneity is associated with survival of lung adenocarcinoma patients.
Article in Cell genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
What it found
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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.
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Who cites it
36 citing papers in PubMed, 47 citations in OpenAlex.
- Spatial multi-omics revealed the impact of tumor ecosystem heterogeneity on immunotherapy efficacy in patients with advanced non-small cell lung cancer treated with bispecific antibody.Journal for immunotherapy of cancer · 2023Trial
- Multiregion profiling of genomic and transcriptional heterogeneity in head and neck squamous-cell carcinoma.ESMO open · 2026Article
- mRNA-based therapeutics in lung Cancer: Mechanisms, applications, and translational challenges.Journal, genetic engineering & biotechnology · 2026Review
- Deciphering lung cancer at high resolution: a narrative review of applications of single-cell and spatial transcriptomics sequencing.Translational lung cancer research · 2026Review
- Tumor heterogeneity: development, mechanisms, and therapeutic implications.Signal transduction and targeted therapy · 2026Review
- Single-cell and multi-omics integration delineates the landscape of gene-wise intratumor heterogeneity and identifies prognostic biomarkers for immunotherapy in non-small cell lung cancer.Cancer immunology, immunotherapy : CII · 2026Article
- Compositional and interpretable representation of histology using AI foundation models and sparse autoencoders.bioRxiv : the preprint server for biology · 2026Article
- Research progress on immune microenvironment and biomarkers of small cell lung cancer.Journal of thoracic disease · 2026Review
- cGAS-STING pathway regulated by spatiotemporal heterogeneity of tumor microenvironment and precision therapy strategies in lung cancer.Journal of experimental & clinical cancer research : CR · 2026Review
- Integrating AI-driven single-cell analysis to decode epithelial heterogeneity: A prognostic signature and translational immunotherapy strategy targetingChinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Single-cell and spatial transcriptome analysis reveals the potential therapeutic targets for testicular sex cord-stromal cell tumor.Biomarker research · 2026Article
- Harnessing Cancer Stem Cells and 3D Organoids in Unravelling Spatial and Cellular Heterogeneity in Cancer.International journal of molecular sciences · 2026Review
- Assessment of intratumor heterogeneity in non-small cell lung cancer by unsupervised K-means clustering of radiomics features based on multiphase computed tomography images.Quantitative imaging in medicine and surgery · 2025Article
- Multiomic profiling of glioblastoma metabolic lesions reveals complex intratumoral genomic evolution and dipeptidase-1-driven vascular proliferation.Neuro-oncology · 2025Article
- SpaLinker identifies phenotype-associated spatial tumor microenvironment features by integrating bulk and spatial sequencing data.Cell genomics · 2025Article
- Review
- Characterization of tumour heterogeneity through segmentation-free representation learning on multiplexed imaging data.Nature biomedical engineering · 2025Article
- Stage-dependent spatial distribution and prognostic value of CD8NPJ precision oncology · 2025Article
- Spatial Architecture of Single-Cell and Vasculature in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
- Unraveling Spatial Heterogeneity in Mass Spectrometry Imaging Data with GraphMSI.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
Corrections and comments
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Authors and funding
18 authors at 8 institutions in 2 countries.
Funding
Abstract
Intra-tumor heterogeneity (ITH) of human tumors is important for tumor progression, treatment response, and drug resistance. However, the spatial distribution of ITH remains incompletely understood. Here, we present spatial analysis of ITH in lung adenocarcinomas from 147 patients using multi-region mass spectrometry of >5,000 regions, single-cell copy number sequencing of ~2,000 single cells, and cyclic immunofluorescence of >10 million cells. We identified two distinct spatial patterns among tumors, termed clustered and random geographic diversification (GD). These patterns were observed in the same samples using both proteomic and genomic data. The random proteomic GD pattern, which is characterized by decreased cell adhesion and lower levels of tumor-interacting endothelial cells, was significantly associated with increased risk of recurrence or death in two independent patient cohorts. Our study presents comprehensive spatial mapping of ITH in lung adenocarcinoma and provides insights into the mechanisms and clinical consequences of GD.
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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.