Patient-derived micro-organospheres enable clinical precision oncology.
dc.contributor.author | Ding, Shengli | |
dc.contributor.author | Hsu, Carolyn | |
dc.contributor.author | Wang, Zhaohui | |
dc.contributor.author | Natesh, Naveen R | |
dc.contributor.author | Millen, Rosemary | |
dc.contributor.author | Negrete, Marcos | |
dc.contributor.author | Giroux, Nicholas | |
dc.contributor.author | Rivera, Grecia O | |
dc.contributor.author | Dohlman, Anders | |
dc.contributor.author | Bose, Shree | |
dc.contributor.author | Rotstein, Tomer | |
dc.contributor.author | Spiller, Kassandra | |
dc.contributor.author | Yeung, Athena | |
dc.contributor.author | Sun, Zhiguo | |
dc.contributor.author | Jiang, Chongming | |
dc.contributor.author | Xi, Rui | |
dc.contributor.author | Wilkin, Benjamin | |
dc.contributor.author | Randon, Peggy M | |
dc.contributor.author | Williamson, Ian | |
dc.contributor.author | Nelson, Daniel A | |
dc.contributor.author | Delubac, Daniel | |
dc.contributor.author | Oh, Sehwa | |
dc.contributor.author | Rupprecht, Gabrielle | |
dc.contributor.author | Isaacs, James | |
dc.contributor.author | Jia, Jingquan | |
dc.contributor.author | Chen, Chao | |
dc.contributor.author | Shen, John Paul | |
dc.contributor.author | Kopetz, Scott | |
dc.contributor.author | McCall, Shannon | |
dc.contributor.author | Smith, Amber | |
dc.contributor.author | Gjorevski, Nikolche | |
dc.contributor.author | Walz, Antje-Christine | |
dc.contributor.author | Antonia, Scott | |
dc.contributor.author | Marrer-Berger, Estelle | |
dc.contributor.author | Clevers, Hans | |
dc.contributor.author | Hsu, David | |
dc.contributor.author | Shen, Xiling | |
dc.date.accessioned | 2024-09-17T21:45:04Z | |
dc.date.available | 2024-09-17T21:45:04Z | |
dc.date.issued | 2022-06 | |
dc.description.abstract | Patient-derived xenografts (PDXs) and patient-derived organoids (PDOs) have been shown to model clinical response to cancer therapy. However, it remains challenging to use these models to guide timely clinical decisions for cancer patients. Here, we used droplet emulsion microfluidics with temperature control and dead-volume minimization to rapidly generate thousands of micro-organospheres (MOSs) from low-volume patient tissues, which serve as an ideal patient-derived model for clinical precision oncology. A clinical study of recently diagnosed metastatic colorectal cancer (CRC) patients using an MOS-based precision oncology pipeline reliably assessed tumor drug response within 14 days, a timeline suitable for guiding treatment decisions in the clinic. Furthermore, MOSs capture original stromal cells and allow T cell penetration, providing a clinical assay for testing immuno-oncology (IO) therapies such as PD-1 blockade, bispecific antibodies, and T cell therapies on patient tumors. | |
dc.identifier | S1934-5909(22)00159-X | |
dc.identifier.issn | 1934-5909 | |
dc.identifier.issn | 1875-9777 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Elsevier BV | |
dc.relation.ispartof | Cell stem cell | |
dc.relation.isversionof | 10.1016/j.stem.2022.04.006 | |
dc.rights.uri | ||
dc.subject | Organoids | |
dc.subject | Humans | |
dc.subject | Colonic Neoplasms | |
dc.subject | Immunotherapy | |
dc.subject | Precision Medicine | |
dc.title | Patient-derived micro-organospheres enable clinical precision oncology. | |
dc.type | Journal article | |
duke.contributor.orcid | Natesh, Naveen R|0000-0003-3736-9402 | |
duke.contributor.orcid | Giroux, Nicholas|0000-0003-3801-4689 | |
duke.contributor.orcid | Oh, Sehwa|0000-0001-6126-1667|0000-0001-7975-6895 | |
duke.contributor.orcid | McCall, Shannon|0000-0003-3957-061X | |
duke.contributor.orcid | Shen, Xiling|0000-0002-4978-3531 | |
pubs.begin-page | 905 | |
pubs.end-page | 917.e6 | |
pubs.issue | 6 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | Pratt School of Engineering | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Student | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Biomedical Engineering | |
pubs.organisational-group | Pathology | |
pubs.organisational-group | Surgery | |
pubs.organisational-group | Surgery, Surgical Sciences | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.publication-status | Published | |
pubs.volume | 29 |
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