Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer.

Journal Article (Journal Article)

Pancreatic cancer is the most lethal common solid malignancy. Systemic therapies are often ineffective, and predictive biomarkers to guide treatment are urgently needed. We generated a pancreatic cancer patient-derived organoid (PDO) library that recapitulates the mutational spectrum and transcriptional subtypes of primary pancreatic cancer. New driver oncogenes were nominated and transcriptomic analyses revealed unique clusters. PDOs exhibited heterogeneous responses to standard-of-care chemotherapeutics and investigational agents. In a case study manner, we found that PDO therapeutic profiles paralleled patient outcomes and that PDOs enabled longitudinal assessment of chemosensitivity and evaluation of synchronous metastases. We derived organoid-based gene expression signatures of chemosensitivity that predicted improved responses for many patients to chemotherapy in both the adjuvant and advanced disease settings. Finally, we nominated alternative treatment strategies for chemorefractory PDOs using targeted agent therapeutic profiling. We propose that combined molecular and therapeutic profiling of PDOs may predict clinical response and enable prospective therapeutic selection.Significance: New approaches to prioritize treatment strategies are urgently needed to improve survival and quality of life for patients with pancreatic cancer. Combined genomic, transcriptomic, and therapeutic profiling of PDOs can identify molecular and functional subtypes of pancreatic cancer, predict therapeutic responses, and facilitate precision medicine for patients with pancreatic cancer. Cancer Discov; 8(9); 1112-29. ©2018 AACR.See related commentary by Collisson, p. 1062This article is highlighted in the In This Issue feature, p. 1047.

Full Text

Duke Authors

Cited Authors

  • Tiriac, H; Belleau, P; Engle, DD; Plenker, D; Deschênes, A; Somerville, TDD; Froeling, FEM; Burkhart, RA; Denroche, RE; Jang, G-H; Miyabayashi, K; Young, CM; Patel, H; Ma, M; LaComb, JF; Palmaira, RLD; Javed, AA; Huynh, JC; Johnson, M; Arora, K; Robine, N; Shah, M; Sanghvi, R; Goetz, AB; Lowder, CY; Martello, L; Driehuis, E; LeComte, N; Askan, G; Iacobuzio-Donahue, CA; Clevers, H; Wood, LD; Hruban, RH; Thompson, E; Aguirre, AJ; Wolpin, BM; Sasson, A; Kim, J; Wu, M; Bucobo, JC; Allen, P; Sejpal, DV; Nealon, W; Sullivan, JD; Winter, JM; Gimotty, PA; Grem, JL; DiMaio, DJ; Buscaglia, JM; Grandgenett, PM; Brody, JR; Hollingsworth, MA; O'Kane, GM; Notta, F; Kim, E; Crawford, JM; Devoe, C; Ocean, A; Wolfgang, CL; Yu, KH; Li, E; Vakoc, CR; Hubert, B; Fischer, SE; Wilson, JM; Moffitt, R; Knox, J; Krasnitz, A; Gallinger, S; Tuveson, DA

Published Date

  • September 2018

Published In

Volume / Issue

  • 8 / 9

Start / End Page

  • 1112 - 1129

PubMed ID

  • 29853643

Pubmed Central ID

  • 29853643

Electronic International Standard Serial Number (EISSN)

  • 2159-8290

Digital Object Identifier (DOI)

  • 10.1158/2159-8290.CD-18-0349

Language

  • eng

Conference Location

  • United States