Literature DB >> 30171177

Human Organoids Share Structural and Genetic Features with Primary Pancreatic Adenocarcinoma Tumors.

Isabel Romero-Calvo1,2, Christopher R Weber3, Mohana Ray1,3, Miguel Brown1,2, Kori Kirby1,2, Rajib K Nandi4, Tiha M Long5, Samantha M Sparrow1,5, Andrey Ugolkov6,7,8,9, Wenan Qiang7,8, Yilin Zhang9, Tonya Brunetti1,5, Hedy Kindler5, Jeremy P Segal3, Andrey Rzhetsky1, Andrew P Mazar7,8,10, Mary M Buschmann1,2, Ralph Weichselbaum11, Kevin Roggin12, Kevin P White13,9,14.   

Abstract

Patient-derived pancreatic ductal adenocarcinoma (PDAC) organoid systems show great promise for understanding the biological underpinnings of disease and advancing therapeutic precision medicine. Despite the increased use of organoids, the fidelity of molecular features, genetic heterogeneity, and drug response to the tumor of origin remain important unanswered questions limiting their utility. To address this gap in knowledge, primary tumor- and patient-derived xenograft (PDX)-derived organoids, and 2D cultures for in-depth genomic and histopathologic comparisons with the primary tumor were created. Histopathologic features and PDAC representative protein markers (e.g., claudin 4 and CA19-9) showed strong concordance. DNA- and RNA-sequencing (RNAseq) of single organoids revealed patient-specific genomic and transcriptomic consistency. Single-cell RNAseq demonstrated that organoids are primarily a clonal population. In drug response assays, organoids displayed patient-specific sensitivities. In addition, the in vivo PDX response to FOLFIRINOX and gemcitabine/abraxane treatments were examined, which was recapitulated in vitro with organoids. This study has demonstrated that organoids are potentially invaluable for precision medicine as well as preclinical drug treatment studies because they maintain distinct patient phenotypes and respond differently to drug combinations and dosage. IMPLICATIONS: The patient-specific molecular and histopathologic fidelity of organoids indicate that they can be used to understand the etiology of the patient's tumor and the differential response to therapies and suggests utility for predicting drug responses. ©2018 American Association for Cancer Research.

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Mesh:

Year:  2018        PMID: 30171177      PMCID: PMC6647028          DOI: 10.1158/1541-7786.MCR-18-0531

Source DB:  PubMed          Journal:  Mol Cancer Res        ISSN: 1541-7786            Impact factor:   5.852


  29 in total

1.  Single-Cell Sequencing and Organoids: A Powerful Combination for Modelling Organ Development and Diseases.

Authors:  Yuebang Yin; Peng-Yu Liu; Yinghua Shi; Ping Li
Journal:  Rev Physiol Biochem Pharmacol       Date:  2021       Impact factor: 5.545

Review 2.  Organoid models for translational pancreatic cancer research.

Authors:  Hervé Tiriac; Dennis Plenker; Lindsey A Baker; David A Tuveson
Journal:  Curr Opin Genet Dev       Date:  2019-03-04       Impact factor: 5.578

3.  Establishing a living biobank of patient-derived organoids of intraductal papillary mucinous neoplasms of the pancreas.

Authors:  Francisca Beato; Dayana Reverón; Kaleena B Dezsi; Antonio Ortiz; Joseph O Johnson; Dung-Tsa Chen; Karla Ali; Sean J Yoder; Daniel Jeong; Mokenge Malafa; Pamela Hodul; Kun Jiang; Barbara A Centeno; Mahmoud A Abdalah; Jodi A Balasi; Alexandra F Tassielli; Bhaswati Sarcar; Jamie K Teer; Gina M DeNicola; Jennifer B Permuth; Jason B Fleming
Journal:  Lab Invest       Date:  2020-10-09       Impact factor: 5.662

Review 4.  The impact of microfluidics in high-throughput drug-screening applications.

Authors:  Paola De Stefano; Elena Bianchi; Gabriele Dubini
Journal:  Biomicrofluidics       Date:  2022-05-26       Impact factor: 3.258

5.  Breast cancer immunotherapy: current biomarkers and the potential of in vitro assays.

Authors:  Melissa C Skala; Jose M Ayuso; Mark E Burkard; Dustin A Deming
Journal:  Curr Opin Biomed Eng       Date:  2021-09-20

Review 6.  Organ-on-a-Chip for Cancer and Immune Organs Modeling.

Authors:  Wujin Sun; Zhimin Luo; Junmin Lee; Han-Jun Kim; KangJu Lee; Peyton Tebon; Yudi Feng; Mehmet R Dokmeci; Shiladitya Sengupta; Ali Khademhosseini
Journal:  Adv Healthc Mater       Date:  2019-01-03       Impact factor: 9.933

7.  Pancreatic cancer-derived organoids - a disease modeling tool to predict drug response.

Authors:  Pierre-Olivier Frappart; Karolin Walter; Johann Gout; Alica K Beutel; Mareen Morawe; Frank Arnold; Markus Breunig; Thomas Fe Barth; Ralf Marienfeld; Lucas Schulte; Thomas Ettrich; Thilo Hackert; Michael Svinarenko; Reinhild Rösler; Sebastian Wiese; Heike Wiese; Lukas Perkhofer; Martin Müller; André Lechel; Bruno Sainz; Patrick C Hermann; Thomas Seufferlein; Alexander Kleger
Journal:  United European Gastroenterol J       Date:  2020-02-19       Impact factor: 4.623

8.  Sample preparation strategies for high-throughput mass spectrometry imaging of primary tumor organoids.

Authors:  Jillian Johnson; Joe T Sharick; Melissa C Skala; Lingjun Li
Journal:  J Mass Spectrom       Date:  2020-01-21       Impact factor: 1.982

9.  Magnetic Fluid Hyperthermia as Treatment Option for Pancreatic Cancer Cells and Pancreatic Cancer Organoids.

Authors:  Julian Palzer; Benedikt Mues; Richard Goerg; Merel Aberle; Sander S Rensen; Steven W M Olde Damink; Rianne D W Vaes; Thorsten Cramer; Thomas Schmitz-Rode; Ulf P Neumann; Ioana Slabu; Anjali A Roeth
Journal:  Int J Nanomedicine       Date:  2021-04-23

10.  Integrated profiling of human pancreatic cancer organoids reveals chromatin accessibility features associated with drug sensitivity.

Authors:  Xiaohan Shi; Yunguang Li; Qiuyue Yuan; Shijie Tang; Shiwei Guo; Yehan Zhang; Juan He; Xiaoyu Zhang; Ming Han; Zhuang Liu; Yiqin Zhu; Suizhi Gao; Huan Wang; Xiongfei Xu; Kailian Zheng; Wei Jing; Luonan Chen; Yong Wang; Gang Jin; Dong Gao
Journal:  Nat Commun       Date:  2022-04-21       Impact factor: 17.694

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