ArticleNature communications2022
Occult polyclonality of preclinical pancreatic cancer models drives in vitro evolution.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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
15 citing papers in PubMed.
- Impact of culture dimensionality and matrix composition on morphology, phenotype and drug response in pancreatic cancer models.Scientific reports · 2026Article
- Loss of Regulator of G Protein Signaling 11 Promotes Protumorigenic Features in Pancreatic Cancer.Molecular cancer research : MCR · 2026Article
- Organoids glimpse: the nexus for diverse tumor heterogeneity.Frontiers in cell and developmental biology · 2026Review
- Insights on the differences between two‑ and three‑dimensional culture systems in tumor models (Review).International journal of molecular medicine · 2025Review
- Heterogeneity-driven phenotypic plasticity and treatment response in branched-organoid models of pancreatic ductal adenocarcinoma.Nature biomedical engineering · 2025Article
- Single-cell multi-omics in the study of digestive system cancers.Computational and structural biotechnology journal · 2024Review
- Single-organoid analysis reveals clinically relevant treatment-resistant and invasive subclones in pancreatic cancer.NPJ precision oncology · 2023Article
- Exploring New Dimensions of Tumor Heterogeneity: The Application of Single Cell Analysis to Organoid-Based 3D In Vitro Models.Advanced healthcare materials · 2023Review
- Pancreatic cancer: Advances and challenges.Cell · 2023Review
- Transcriptomic intratumor heterogeneity of breast cancer patient-derived organoids may reflect the unique biological features of the tumor of origin.Breast cancer research : BCR · 2023Article
- Spatial Alignment of Organoids Tracking Subclonal Chemotherapy Resistance in Pancreatic and Ampullary Cancer.Bioengineering (Basel, Switzerland) · 2023Article
- Article
- Applications of human organoids in the personalized treatment for digestive diseases.Signal transduction and targeted therapy · 2022Review
- Pre-clinical Models of Metastasis in Pancreatic Cancer.Frontiers in cell and developmental biology · 2021Review
- DNA Damage Repair Deficiency in Pancreatic Ductal Adenocarcinoma: Preclinical Models and Clinical Perspectives.Frontiers in cell and developmental biology · 2021Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Heterogeneity is a hallmark of cancer. The advent of single-cell technologies has helped uncover heterogeneity in a high-throughput manner in different cancers across varied contexts. Here we apply single-cell sequencing technologies to reveal inherent heterogeneity in assumptively monoclonal pancreatic cancer (PDAC) cell lines and patient-derived organoids (PDOs). Our findings reveal a high degree of both genomic and transcriptomic polyclonality in monolayer PDAC cell lines, custodial variation induced by growing apparently identical cell lines in different laboratories, and transcriptomic shifts in transitioning from 2D to 3D spheroid growth models. Our findings also call into question the validity of widely available immortalized, non-transformed pancreatic lines as contemporaneous "control" lines in experiments. We confirm these findings using a variety of independent assays, including but not limited to whole exome sequencing, single-cell copy number variation sequencing (scCNVseq), single-nuclei assay for transposase-accessible chromatin with sequencing, fluorescence in-situ hybridization, and single-cell RNA sequencing (scRNAseq). We map scRNA expression data to unique genomic clones identified by orthogonally-gathered scCNVseq data of these same PDAC cell lines. Further, while PDOs are known to reflect the cognate in vivo biology of the parental tumor, we identify transcriptomic shifts during ex vivo passage that might hamper their predictive abilities over time. The impact of these findings on rigor and reproducibility of experimental data generated using established preclinical PDAC models between and across laboratories is uncertain, but a matter of concern.
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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.