ArticleNature communications2019
Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers.
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Who cites it
110 citing papers in PubMed.
- Hierarchical modeling of tumor subtypes in cell lines using large-scale genomic datasets.iScience · 2026Article
- Data-centric feedback loops for next-generation immunotherapy development.Nature biomedical engineering · 2026Review
- Functional profiling of ovarian cancer models reveals Bcl-xL/NOTCH targeting to overcome resistance.NPJ precision oncology · 2026Article
- Systematic pathway-level analysis defines conserved transcriptional divergence between primary lung tumors and cell line models.Animal models and experimental medicine · 2026Article
- Deep Unsupervised Domain Adaptation for Translating Cancer Dependency Maps From Cell Lines to Breast Cancer Tumor Genomics.Genetic epidemiology · 2026Article
- Patient-derived organoids across cancers reveal conserved tumor heterogeneity and actionable therapeutic vulnerabilities.Science advances · 2026Article
- Molecular and Cell Biological Characterization of Patient-Derived Head and Neck Squamous Carcinoma Cell Lines.Cancer science · 2026Article
- Impact of organic pollutants on phenotype and gene expression in human breast cancer cells.Journal of applied toxicology : JAT · 2026Article
- Multi-omics evaluation of cell lines as models for metastatic prostate cancer.Communications biology · 2026Article
- From Cell Lines to Avatars: Charting the Future of Preclinical Modeling in T-Cell Malignancies.Cells · 2026Review
- Myosin Class I Genes Follow a Cell Type-Specific Transcription Pattern in Human Haematopoietic Cell Lines.International journal of molecular sciences · 2026Article
- The radioresistance of clinically relevant radioresistant cell-derived tumors is determined by the cancer cells themselves, rather than by the surrounding stromal cells.Journal of dental sciences · 2026Article
- DepPrior: integrating CRISPR dependency predictability with multi-omics reproducibility to prioritize candidate LUAD therapeutic targets.Frontiers in pharmacology · 2026Article
- Natural killer cells at the interface of tumor immune escape and immunotherapy resistance in endometrial cancer.Frontiers in immunology · 2026Review
- Article
- Isolation and Characterization of Equine Lymph Node Endothelial Cells.Veterinary sciences · 2025Article
- Large language models enable tumor-type classification and localization of cancers of unknown primary from genomic data.Cell reports. Medicine · 2025Article
- Reprogramming intratumoral TScience immunology · 2025Article
- Computational framework for prioritizing candidate compounds overcoming the resistance of pancancer immunotherapy.Cell reports. Medicine · 2025Article
- Deep learning-driven drug response prediction and mechanistic insights in cancer genomics.Scientific reports · 2025Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Cancer cell lines are a cornerstone of cancer research but previous studies have shown that not all cell lines are equal in their ability to model primary tumors. Here we present a comprehensive pan-cancer analysis utilizing transcriptomic profiles from The Cancer Genome Atlas and the Cancer Cell Line Encyclopedia to evaluate cell lines as models of primary tumors across 22 tumor types. We perform correlation analysis and gene set enrichment analysis to understand the differences between cell lines and primary tumors. Additionally, we classify cell lines into tumor subtypes in 9 tumor types. We present our pancreatic cancer results as a case study and find that the commonly used cell line MIA PaCa-2 is transcriptionally unrepresentative of primary pancreatic adenocarcinomas. Lastly, we propose a new cell line panel, the TCGA-110-CL, for pan-cancer studies. This study provides a resource to help researchers select more representative cell line models.
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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.