Pan-Cancer PDOs Preserve Tumor Heterogeneity and Uncover Therapeutic Vulnerabilities
Kuo, H.-H.; Bhinder, B.; Gokozan, H. N.; Gorski, K.; Chandra, P.; Manohar, J.; Guevara, D.; Otilano, J.; Moyer, J.; Tranquille, M.; Ackermann, S.; Capuano, J.; Cheung, C.; Caiazza, T. A.; Reuben, P. L.; Irizarry, A.; Tsomides, A. M.; Sigouros, M.; Wilkes, D.; King, A.; Kane, T.; Al Assaad, M.; Al Zoughbi, W.; Ohara, K.; Auh, J.; Waltman, P.; Madorsky Rowdo, F. P.; Podaza, E.; Gallegos, V.; Nguyen, J.; Shah, R.; Shah, M.; Ocean, A.; Scherr, D.; Altorki, N.; Frey, M.; Molina, A. M.; Newman, L.; Bea, V.; Chapman-Davis, E.; Goncalves, M. D.; Saxena, A.; Shukla, P. J.; Holcomb, K.; Simmons, R.; Tag
Show abstract
We developed a tumor-matched, pan-cancer patient-derived organoid (PDO) platform comprising 220 PDOs from 190 patients across 15 cancer types to advance functional precision oncology. Our comprehensively characterized PDOs showed 93% histopathology concordance, 80% median genomic concordance for driver mutations, and a 0.85 median gene expression correlation with parent tumors. Gene expression in PDOs remained stable across [≥] 10 passages, supporting reproducibility for long-term drug screening. Even PDOs with low genomic concordance retained oncogenic drivers, supporting their use as disease models. Clonality analysis revealed that 85% of PDOs preserved dominant tumor clones. Higher genomic concordance was associated with greater clonal similarity, while lower genomic concordance was associated with clonal divergence. Functional assays showed that 58% of PDOs from a subset of patients ineligible for FDA-approved PARP inhibitors responded to Talazoparib, with sensitivity linked to alterations in DNA damage repair. Combination screens revealed drugs that effectively overcame resistance, especially in TP53-mutant PDOs. In summary, our platform supports investigation of targeted therapies, identification of molecular features linked to drug sensitivity, and translational discovery, offering insights into personalized cancer treatment beyond current biomarker guidelines.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- XENTURION, a multidimensional resource of xenografts and tumoroids from metastatic colorectal cancer patients for population-level translational oncology 98%
- Multiplexed RNA-FISH-guided Laser Capture Microdissection RNA Sequencing Improves Breast Cancer Molecular Subtyping, Prognostic Classification, and Predicts Response to Antibody Drug Conjugates 97%
- Whole genome sequencing improves tissue of origin diagnosis and treatment options for cancer of unknown primary 97%
Similar papers in this journal
- Cancer-associated fibroblast compositions change with breast cancer progression linking S100A4 and PDPN ratios with clinical outcome 96%
- Combined KRASG12C and SOS1 inhibition enhances and extends the anti-tumor response in KRASG12C-driven cancers by addressing intrinsic and acquired resistance 95%
- Glutamine mimicry suppresses tumor progression through asparagine metabolism in pancreatic ductal adenocarcinoma 95%
Similar papers in this journal
Similar papers in this journal
- Aberrant transcript usage induces homologous recombination deficiency and predicts therapeutic responses 96%
- Acquired RAD51C promoter methylation loss causes PARP inhibitor resistance in high grade serous ovarian carcinoma 95%
- CIP2A interacts with TopBP1 and is selectively essential for DNA damage-induced basal-like breast cancer tumorigenesis 95%
Similar papers in this journal
- Evolutionary states and trajectories characterized by distinct pathways stratify ovarian high-grade serous carcinoma patients 96%
- Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer 95%
- Single-cell lineage and transcriptome reconstruction of metastatic cancer reveals selection of aggressive hybrid EMT states 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.