{"title":"利用分化甲状腺癌衍生的类器官模拟临床放射性碘摄取。","authors":"Xinyue Zhang, Jiaye Liu, Yinyun Ni, Ying Yang, Tian Tian, Xiaofeng Zheng, Zhihui Li, Rui Huang","doi":"10.1210/endocr/bqae162","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":11819,"journal":{"name":"Endocrinology","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling Clinical Radioiodine Uptake By Using Organoids Derived From Differentiated Thyroid Cancer.\",\"authors\":\"Xinyue Zhang, Jiaye Liu, Yinyun Ni, Ying Yang, Tian Tian, Xiaofeng Zheng, Zhihui Li, Rui Huang\",\"doi\":\"10.1210/endocr/bqae162\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":11819,\"journal\":{\"name\":\"Endocrinology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Endocrinology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1210/endocr/bqae162\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrinology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1210/endocr/bqae162","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0
摘要
放射性碘难治性分化型甲状腺癌(RAI-R DTC)占甲状腺相关死亡率的绝大部分,直到最近,用于碘摄取预测的临床前模型仍然有限。在本研究中,我们旨在建立原发性肿瘤衍生的DTC类器官模型,并预测肿瘤残留物的放射性碘(RAI)摄取。比较了类器官和亲本组织的基因型和表型特征。RAI摄取测定用于评估类器官的RAI摄取能力,并使用相关患者的RAI全身扫描来验证该测定的预测敏感性。目前已经建立了20个患者来源的DTC类器官。全外显子组测序和免疫荧光分析表明,类器官忠实地再现了原始肿瘤组织的主要特征。抗RAI类器官(n=11)的RAI摄取明显高于抗RAI组(n=9;384.4±102.7 vs 54.2±13.2 cpm/105个细胞,p
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 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.
期刊介绍:
The mission of Endocrinology is to be the authoritative source of emerging hormone science and to disseminate that new knowledge to scientists, clinicians, and the public in a way that will enable "hormone science to health." Endocrinology welcomes the submission of original research investigating endocrine systems and diseases at all levels of biological organization, incorporating molecular mechanistic studies, such as hormone-receptor interactions, in all areas of endocrinology, as well as cross-disciplinary and integrative studies. The editors of Endocrinology encourage the submission of research in emerging areas not traditionally recognized as endocrinology or metabolism in addition to the following traditionally recognized fields: Adrenal; Bone Health and Osteoporosis; Cardiovascular Endocrinology; Diabetes; Endocrine-Disrupting Chemicals; Endocrine Neoplasia and Cancer; Growth; Neuroendocrinology; Nuclear Receptors and Their Ligands; Obesity; Reproductive Endocrinology; Signaling Pathways; and Thyroid.