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The drug-induced phenotypic landscape of colorectal cancer organoids
Patient-derived organoids resemble the biology of tissues and tumors, enabling ex vivo modeling of human diseases. They have heterogeneous morphologies with unclear biological causes and relationship to treatment response. Here, we use high-throughput, image-based profiling to quantify phenotypes of...
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Published in: | Nature communications 2022-06, Vol.13 (1), p.3135-3135, Article 3135 |
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creator | Betge, Johannes Rindtorff, Niklas Sauer, Jan Rauscher, Benedikt Dingert, Clara Gaitantzi, Haristi Herweck, Frank Srour-Mhanna, Kauthar Miersch, Thilo Valentini, Erica Boonekamp, Kim E. Hauber, Veronika Gutting, Tobias Frank, Larissa Belle, Sebastian Gaiser, Timo Buchholz, Inga Jesenofsky, Ralf Härtel, Nicolai Zhan, Tianzuo Fischer, Bernd Breitkopf-Heinlein, Katja Burgermeister, Elke Ebert, Matthias P. Boutros, Michael |
description | Patient-derived organoids resemble the biology of tissues and tumors, enabling ex vivo modeling of human diseases. They have heterogeneous morphologies with unclear biological causes and relationship to treatment response. Here, we use high-throughput, image-based profiling to quantify phenotypes of over 5 million individual colorectal cancer organoids after treatment with >500 small molecules. Integration of data using multi-omics modeling identifies axes of morphological variation across organoids: Organoid size is linked to IGF1 receptor signaling, and cystic vs. solid organoid architecture is associated with LGR5 + stemness. Treatment-induced organoid morphology reflects organoid viability, drug mechanism of action, and is biologically interpretable. Inhibition of MEK leads to cystic reorganization of organoids and increases expression of
LGR5
, while inhibition of mTOR induces IGF1 receptor signaling. In conclusion, we identify shared axes of variation for colorectal cancer organoid morphology, their underlying biological mechanisms, and pharmacological interventions with the ability to move organoids along them.
The heterogeneity underlying cancer organoid phenotypes is not yet well understood. Here, the authors develop an imaging analysis assay for high throughput phenotypic screening of colorectal organoids that allows to define specific morphological changes that occur following different drug treatments. |
doi_str_mv | 10.1038/s41467-022-30722-9 |
format | article |
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LGR5
, while inhibition of mTOR induces IGF1 receptor signaling. In conclusion, we identify shared axes of variation for colorectal cancer organoid morphology, their underlying biological mechanisms, and pharmacological interventions with the ability to move organoids along them.
The heterogeneity underlying cancer organoid phenotypes is not yet well understood. Here, the authors develop an imaging analysis assay for high throughput phenotypic screening of colorectal organoids that allows to define specific morphological changes that occur following different drug treatments.</description><identifier>ISSN: 2041-1723</identifier><identifier>EISSN: 2041-1723</identifier><identifier>DOI: 10.1038/s41467-022-30722-9</identifier><identifier>PMID: 35668108</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>14 ; 14/19 ; 14/56 ; 45 ; 45/47 ; 49/47 ; 631/154/1435/2417 ; 631/67/1504/1885 ; 631/67/69 ; 631/67/70 ; 64 ; 692/4028/67/1504 ; 96 ; 96/47 ; 96/63 ; Cancer ; Colorectal cancer ; Colorectal carcinoma ; Heterogeneity ; Humanities and Social Sciences ; Insulin-like growth factor I ; Modelling ; Morphology ; multidisciplinary ; Organoids ; Phenotypes ; Receptors ; Science ; Science (multidisciplinary) ; Signaling ; TOR protein ; Tumors</subject><ispartof>Nature communications, 2022-06, Vol.13 (1), p.3135-3135, Article 3135</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><rights>The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-ee4a8b05a6b29f98ca055284db0da18becc06fab6b454d3366418d4385b3e6183</citedby><cites>FETCH-LOGICAL-c540t-ee4a8b05a6b29f98ca055284db0da18becc06fab6b454d3366418d4385b3e6183</cites><orcidid>0000-0001-9549-1866 ; 0000-0002-1814-4796 ; 0000-0001-9437-2099 ; 0000-0002-4969-5697 ; 0000-0003-3602-4170 ; 0000-0003-3228-5138 ; 0000-0002-9458-817X ; 0000-0001-8460-1644</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2673450284/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2673450284?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35668108$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Betge, Johannes</creatorcontrib><creatorcontrib>Rindtorff, Niklas</creatorcontrib><creatorcontrib>Sauer, Jan</creatorcontrib><creatorcontrib>Rauscher, Benedikt</creatorcontrib><creatorcontrib>Dingert, Clara</creatorcontrib><creatorcontrib>Gaitantzi, Haristi</creatorcontrib><creatorcontrib>Herweck, Frank</creatorcontrib><creatorcontrib>Srour-Mhanna, Kauthar</creatorcontrib><creatorcontrib>Miersch, Thilo</creatorcontrib><creatorcontrib>Valentini, Erica</creatorcontrib><creatorcontrib>Boonekamp, Kim E.</creatorcontrib><creatorcontrib>Hauber, Veronika</creatorcontrib><creatorcontrib>Gutting, Tobias</creatorcontrib><creatorcontrib>Frank, Larissa</creatorcontrib><creatorcontrib>Belle, Sebastian</creatorcontrib><creatorcontrib>Gaiser, Timo</creatorcontrib><creatorcontrib>Buchholz, Inga</creatorcontrib><creatorcontrib>Jesenofsky, Ralf</creatorcontrib><creatorcontrib>Härtel, Nicolai</creatorcontrib><creatorcontrib>Zhan, Tianzuo</creatorcontrib><creatorcontrib>Fischer, Bernd</creatorcontrib><creatorcontrib>Breitkopf-Heinlein, Katja</creatorcontrib><creatorcontrib>Burgermeister, Elke</creatorcontrib><creatorcontrib>Ebert, Matthias P.</creatorcontrib><creatorcontrib>Boutros, Michael</creatorcontrib><title>The drug-induced phenotypic landscape of colorectal cancer organoids</title><title>Nature communications</title><addtitle>Nat Commun</addtitle><addtitle>Nat Commun</addtitle><description>Patient-derived organoids resemble the biology of tissues and tumors, enabling ex vivo modeling of human diseases. They have heterogeneous morphologies with unclear biological causes and relationship to treatment response. Here, we use high-throughput, image-based profiling to quantify phenotypes of over 5 million individual colorectal cancer organoids after treatment with >500 small molecules. Integration of data using multi-omics modeling identifies axes of morphological variation across organoids: Organoid size is linked to IGF1 receptor signaling, and cystic vs. solid organoid architecture is associated with LGR5 + stemness. Treatment-induced organoid morphology reflects organoid viability, drug mechanism of action, and is biologically interpretable. Inhibition of MEK leads to cystic reorganization of organoids and increases expression of
LGR5
, while inhibition of mTOR induces IGF1 receptor signaling. In conclusion, we identify shared axes of variation for colorectal cancer organoid morphology, their underlying biological mechanisms, and pharmacological interventions with the ability to move organoids along them.
The heterogeneity underlying cancer organoid phenotypes is not yet well understood. 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communications</jtitle><stitle>Nat Commun</stitle><addtitle>Nat Commun</addtitle><date>2022-06-06</date><risdate>2022</risdate><volume>13</volume><issue>1</issue><spage>3135</spage><epage>3135</epage><pages>3135-3135</pages><artnum>3135</artnum><issn>2041-1723</issn><eissn>2041-1723</eissn><abstract>Patient-derived organoids resemble the biology of tissues and tumors, enabling ex vivo modeling of human diseases. They have heterogeneous morphologies with unclear biological causes and relationship to treatment response. Here, we use high-throughput, image-based profiling to quantify phenotypes of over 5 million individual colorectal cancer organoids after treatment with >500 small molecules. Integration of data using multi-omics modeling identifies axes of morphological variation across organoids: Organoid size is linked to IGF1 receptor signaling, and cystic vs. solid organoid architecture is associated with LGR5 + stemness. Treatment-induced organoid morphology reflects organoid viability, drug mechanism of action, and is biologically interpretable. Inhibition of MEK leads to cystic reorganization of organoids and increases expression of
LGR5
, while inhibition of mTOR induces IGF1 receptor signaling. In conclusion, we identify shared axes of variation for colorectal cancer organoid morphology, their underlying biological mechanisms, and pharmacological interventions with the ability to move organoids along them.
The heterogeneity underlying cancer organoid phenotypes is not yet well understood. Here, the authors develop an imaging analysis assay for high throughput phenotypic screening of colorectal organoids that allows to define specific morphological changes that occur following different drug treatments.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>35668108</pmid><doi>10.1038/s41467-022-30722-9</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0001-9549-1866</orcidid><orcidid>https://orcid.org/0000-0002-1814-4796</orcidid><orcidid>https://orcid.org/0000-0001-9437-2099</orcidid><orcidid>https://orcid.org/0000-0002-4969-5697</orcidid><orcidid>https://orcid.org/0000-0003-3602-4170</orcidid><orcidid>https://orcid.org/0000-0003-3228-5138</orcidid><orcidid>https://orcid.org/0000-0002-9458-817X</orcidid><orcidid>https://orcid.org/0000-0001-8460-1644</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2041-1723 |
ispartof | Nature communications, 2022-06, Vol.13 (1), p.3135-3135, Article 3135 |
issn | 2041-1723 2041-1723 |
language | eng |
recordid | cdi_doaj_primary_oai_doaj_org_article_781b445e149e41f2a3b65e3af8beee8f |
source | Publicly Available Content Database (Proquest) (PQ_SDU_P3); PubMed Central Free; Nature; Springer Nature - nature.com Journals - Fully Open Access |
subjects | 14 14/19 14/56 45 45/47 49/47 631/154/1435/2417 631/67/1504/1885 631/67/69 631/67/70 64 692/4028/67/1504 96 96/47 96/63 Cancer Colorectal cancer Colorectal carcinoma Heterogeneity Humanities and Social Sciences Insulin-like growth factor I Modelling Morphology multidisciplinary Organoids Phenotypes Receptors Science Science (multidisciplinary) Signaling TOR protein Tumors |
title | The drug-induced phenotypic landscape of colorectal cancer organoids |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T16%3A37%3A44IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20drug-induced%20phenotypic%20landscape%20of%20colorectal%20cancer%20organoids&rft.jtitle=Nature%20communications&rft.au=Betge,%20Johannes&rft.date=2022-06-06&rft.volume=13&rft.issue=1&rft.spage=3135&rft.epage=3135&rft.pages=3135-3135&rft.artnum=3135&rft.issn=2041-1723&rft.eissn=2041-1723&rft_id=info:doi/10.1038/s41467-022-30722-9&rft_dat=%3Cproquest_doaj_%3E2674001464%3C/proquest_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c540t-ee4a8b05a6b29f98ca055284db0da18becc06fab6b454d3366418d4385b3e6183%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2673450284&rft_id=info:pmid/35668108&rfr_iscdi=true |