Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer
Radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) accounts for the vast majority of thyroid-related mortality and, until recently, there were limited preclinical models for iodine uptake prediction. In the current study, we aim to establish a primary tumor-derived organoid model of DT...
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Veröffentlicht in: | Endocrinology (Philadelphia) 2024-11, Vol.166 (1) |
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description | Radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) accounts for the vast majority of thyroid-related mortality and, until recently, there were limited preclinical models for iodine uptake prediction. In the current study, we aim to establish a primary tumor-derived organoid model of DTC and predict radioiodine (RAI) uptake of tumor residue. The genotypic and phenotypic features between organoid and parental tissue were compared. The RAI uptake assay was used to evaluate the organoid's RAI uptake capacity, and related patients' RAI whole-body scans were used to verify the assay's predictive sensitivity. A total of 20 patient-derived DTC organoids have been established. Whole-exome sequencing and immunofluorescence analysis demonstrated that organoids faithfully recapitulated main features of the original tumor tissue. RAI-avid organoids (n = 11) presented significantly higher RAI uptake than the RAI-refractory (RAI-R) group (n = 9; 384.4 ± 102.7 vs 54.2 ± 13.2 cpm/105 cells, P < .0001). A threshold value in organoids of less than 250 cpm/105 cell was found to have a predictive sensitivity of 95.0% for distinguishing RAI-R from RAI-avid patients when paired to clinical information. Notably, we found that several tyrosine kinase inhibitors moderately re-sensitize iodine uptake by using organoids derived from 3 patients with different genetic mutation backgrounds. In conclusion, patient-derived DTC organoids recapitulated the main characteristics of their parental tissues and preserved ability to uptake radioiodine, showing potential in the development of novel drugs to boost iodine avidity. |
doi_str_mv | 10.1210/endocr/bqae162 |
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In the current study, we aim to establish a primary tumor-derived organoid model of DTC and predict radioiodine (RAI) uptake of tumor residue. The genotypic and phenotypic features between organoid and parental tissue were compared. The RAI uptake assay was used to evaluate the organoid's RAI uptake capacity, and related patients' RAI whole-body scans were used to verify the assay's predictive sensitivity. A total of 20 patient-derived DTC organoids have been established. Whole-exome sequencing and immunofluorescence analysis demonstrated that organoids faithfully recapitulated main features of the original tumor tissue. RAI-avid organoids (n = 11) presented significantly higher RAI uptake than the RAI-refractory (RAI-R) group (n = 9; 384.4 ± 102.7 vs 54.2 ± 13.2 cpm/105 cells, P < .0001). A threshold value in organoids of less than 250 cpm/105 cell was found to have a predictive sensitivity of 95.0% for distinguishing RAI-R from RAI-avid patients when paired to clinical information. Notably, we found that several tyrosine kinase inhibitors moderately re-sensitize iodine uptake by using organoids derived from 3 patients with different genetic mutation backgrounds. In conclusion, patient-derived DTC organoids recapitulated the main characteristics of their parental tissues and preserved ability to uptake radioiodine, showing potential in the development of novel drugs to boost iodine avidity.</description><identifier>ISSN: 1945-7170</identifier><identifier>EISSN: 1945-7170</identifier><identifier>DOI: 10.1210/endocr/bqae162</identifier><identifier>PMID: 39658331</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Exome Sequencing ; Female ; Humans ; Iodine Radioisotopes ; Male ; Middle Aged ; Organoids - metabolism ; Thyroid Neoplasms - genetics ; Thyroid Neoplasms - metabolism ; Thyroid Neoplasms - pathology</subject><ispartof>Endocrinology (Philadelphia), 2024-11, Vol.166 (1)</ispartof><rights>The Author(s) 2024. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com. See the journal About page for additional terms.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c220t-c8b6784ba9c35ac0c9083aeec2d94fc49ce3ed417fe21e686a15ec7f2c6aa21f3</cites><orcidid>0000-0002-8338-2635 ; 0000-0002-1461-3954 ; 0000-0003-3191-0528</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39658331$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Xinyue</creatorcontrib><creatorcontrib>Liu, Jiaye</creatorcontrib><creatorcontrib>Ni, Yinyun</creatorcontrib><creatorcontrib>Yang, Ying</creatorcontrib><creatorcontrib>Tian, Tian</creatorcontrib><creatorcontrib>Zheng, Xiaofeng</creatorcontrib><creatorcontrib>Li, Zhihui</creatorcontrib><creatorcontrib>Huang, Rui</creatorcontrib><title>Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer</title><title>Endocrinology (Philadelphia)</title><addtitle>Endocrinology</addtitle><description>Radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) accounts for the vast majority of thyroid-related mortality and, until recently, there were limited preclinical models for iodine uptake prediction. In the current study, we aim to establish a primary tumor-derived organoid model of DTC and predict radioiodine (RAI) uptake of tumor residue. The genotypic and phenotypic features between organoid and parental tissue were compared. The RAI uptake assay was used to evaluate the organoid's RAI uptake capacity, and related patients' RAI whole-body scans were used to verify the assay's predictive sensitivity. A total of 20 patient-derived DTC organoids have been established. Whole-exome sequencing and immunofluorescence analysis demonstrated that organoids faithfully recapitulated main features of the original tumor tissue. RAI-avid organoids (n = 11) presented significantly higher RAI uptake than the RAI-refractory (RAI-R) group (n = 9; 384.4 ± 102.7 vs 54.2 ± 13.2 cpm/105 cells, P < .0001). A threshold value in organoids of less than 250 cpm/105 cell was found to have a predictive sensitivity of 95.0% for distinguishing RAI-R from RAI-avid patients when paired to clinical information. Notably, we found that several tyrosine kinase inhibitors moderately re-sensitize iodine uptake by using organoids derived from 3 patients with different genetic mutation backgrounds. In conclusion, patient-derived DTC organoids recapitulated the main characteristics of their parental tissues and preserved ability to uptake radioiodine, showing potential in the development of novel drugs to boost iodine avidity.</description><subject>Adult</subject><subject>Aged</subject><subject>Exome Sequencing</subject><subject>Female</subject><subject>Humans</subject><subject>Iodine Radioisotopes</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Organoids - metabolism</subject><subject>Thyroid Neoplasms - genetics</subject><subject>Thyroid Neoplasms - metabolism</subject><subject>Thyroid Neoplasms - pathology</subject><issn>1945-7170</issn><issn>1945-7170</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpNkD1PwzAQhi0EoqWwMiKPLGn9FScZIaWAVFQJtXPk2JdiSOLWTpH670nVgljuTq-ee4cHoVtKxpRRMoHWOO0n5VYBlewMDWkm4iihCTn_dw_QVQifhFAhBL9EA57JOOWcDlH55gzUtl3jvJ9Wqxq_K2Oddca2gFebTn0BftzjVThAC79WrbMm4Cl4-w0Gz7xr8NRWFXhoO6u6Plt-7H0P4Vy1Gvw1uqhUHeDmtEdoNXta5i_RfPH8mj_MI80Y6SKdljJJRakyzWOlic5IyhWAZiYTlRaZBg5G0KQCRkGmUtEYdFIxLZVitOIjdH_s3Xi33UHoisYGDXWtWnC7UHAqpGSCUtmj4yOqvQvBQ1VsvG2U3xeUFAevxdFrcfLaP9ydundlA-YP_xXJfwBq3HeJ</recordid><startdate>20241126</startdate><enddate>20241126</enddate><creator>Zhang, Xinyue</creator><creator>Liu, Jiaye</creator><creator>Ni, Yinyun</creator><creator>Yang, Ying</creator><creator>Tian, Tian</creator><creator>Zheng, Xiaofeng</creator><creator>Li, Zhihui</creator><creator>Huang, Rui</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-8338-2635</orcidid><orcidid>https://orcid.org/0000-0002-1461-3954</orcidid><orcidid>https://orcid.org/0000-0003-3191-0528</orcidid></search><sort><creationdate>20241126</creationdate><title>Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer</title><author>Zhang, Xinyue ; Liu, Jiaye ; Ni, Yinyun ; Yang, Ying ; Tian, Tian ; Zheng, Xiaofeng ; Li, Zhihui ; Huang, Rui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c220t-c8b6784ba9c35ac0c9083aeec2d94fc49ce3ed417fe21e686a15ec7f2c6aa21f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Exome Sequencing</topic><topic>Female</topic><topic>Humans</topic><topic>Iodine Radioisotopes</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Organoids - metabolism</topic><topic>Thyroid Neoplasms - genetics</topic><topic>Thyroid Neoplasms - metabolism</topic><topic>Thyroid Neoplasms - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhang, Xinyue</creatorcontrib><creatorcontrib>Liu, Jiaye</creatorcontrib><creatorcontrib>Ni, Yinyun</creatorcontrib><creatorcontrib>Yang, Ying</creatorcontrib><creatorcontrib>Tian, Tian</creatorcontrib><creatorcontrib>Zheng, Xiaofeng</creatorcontrib><creatorcontrib>Li, Zhihui</creatorcontrib><creatorcontrib>Huang, Rui</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Endocrinology (Philadelphia)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhang, Xinyue</au><au>Liu, Jiaye</au><au>Ni, Yinyun</au><au>Yang, Ying</au><au>Tian, Tian</au><au>Zheng, Xiaofeng</au><au>Li, Zhihui</au><au>Huang, Rui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer</atitle><jtitle>Endocrinology (Philadelphia)</jtitle><addtitle>Endocrinology</addtitle><date>2024-11-26</date><risdate>2024</risdate><volume>166</volume><issue>1</issue><issn>1945-7170</issn><eissn>1945-7170</eissn><abstract>Radioiodine-refractory differentiated thyroid cancer (RAI-R DTC) accounts for the vast majority of thyroid-related mortality and, until recently, there were limited preclinical models for iodine uptake prediction. In the current study, we aim to establish a primary tumor-derived organoid model of DTC and predict radioiodine (RAI) uptake of tumor residue. The genotypic and phenotypic features between organoid and parental tissue were compared. The RAI uptake assay was used to evaluate the organoid's RAI uptake capacity, and related patients' RAI whole-body scans were used to verify the assay's predictive sensitivity. A total of 20 patient-derived DTC organoids have been established. Whole-exome sequencing and immunofluorescence analysis demonstrated that organoids faithfully recapitulated main features of the original tumor tissue. RAI-avid organoids (n = 11) presented significantly higher RAI uptake than the RAI-refractory (RAI-R) group (n = 9; 384.4 ± 102.7 vs 54.2 ± 13.2 cpm/105 cells, P < .0001). A threshold value in organoids of less than 250 cpm/105 cell was found to have a predictive sensitivity of 95.0% for distinguishing RAI-R from RAI-avid patients when paired to clinical information. Notably, we found that several tyrosine kinase inhibitors moderately re-sensitize iodine uptake by using organoids derived from 3 patients with different genetic mutation backgrounds. In conclusion, patient-derived DTC organoids recapitulated the main characteristics of their parental tissues and preserved ability to uptake radioiodine, showing potential in the development of novel drugs to boost iodine avidity.</abstract><cop>United States</cop><pmid>39658331</pmid><doi>10.1210/endocr/bqae162</doi><orcidid>https://orcid.org/0000-0002-8338-2635</orcidid><orcidid>https://orcid.org/0000-0002-1461-3954</orcidid><orcidid>https://orcid.org/0000-0003-3191-0528</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Exome Sequencing Female Humans Iodine Radioisotopes Male Middle Aged Organoids - metabolism Thyroid Neoplasms - genetics Thyroid Neoplasms - metabolism Thyroid Neoplasms - pathology |
title | Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer |
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