Science advances · 2025
Integrated spatial morpho-transcriptomics predicts functional traits in pancreatic cancer.
СтатьяПоддержка исследования: вне правительства СШАПоддержка NIH: внешняя программаПоддержка правительства СШАНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Gong Dennis, Liu Rachel, Cui Yi, Rhodes Michael, Bae Jung Woo, Beechem Joseph M, Hwang William L
Аннотация
Analyses of patient-derived cell lines have greatly enhanced discovery of molecular biomarkers and therapeutic targets. However, characterization of cellular morphological properties is limited. We studied cell morphologies of human pancreatic adenocarcinoma (PDAC) cell lines and their associations with drug sensitivity, gene expression, and functional properties. By integrating live cell and spatial messenger RNA imaging, we identified KRAS inhibitor-induced morphological changes specific for drug-resistant cells that correlated with gene expression changes. We then categorized a large panel of patient-derived PDAC cell lines into morphological and organizational subtypes and found differences in gene expression, therapeutic targeting potential, and metastatic proclivity. Patterns of cancer cell organization in human PDAC tissues stratified distinct gene expression signatures with clinical significance. In summary, we highlight the potential of cell morphological information in rapid, cost-effective assays to aid precision oncology efforts leveraging patient-derived in vitro models and tissues.
Предметные рубрики MeSH
Pancreatic NeoplasmsGene Expression Regulation, NeoplasticCarcinoma, Pancreatic DuctalDrug Resistance, NeoplasmCell Line, TumorProto-Oncogene Proteins p21(ras)Antineoplastic AgentsTranscriptomePrecision MedicineHumansSpatial TranscriptomicsCost-Effectiveness AnalysisSingle-Cell AnalysisBiomarkers, TumorHeterocyclic Compounds, 2-RingNaphthalenesPiperazines