Transcriptomic analysis of papillary thyroid cancer: a focus on immune-subtyping, oncogenic fusion, and recurrence

Cited 13 time in scopus
Metadata Downloads

Full metadata record

DC FieldValueLanguage
dc.contributor.authorSeung Jin Park-
dc.contributor.authorY E Kang-
dc.contributor.authorJeong Hwan Kim-
dc.contributor.authorJong Lyul Park-
dc.contributor.authorSeon-Kyu Kim-
dc.contributor.authorSeung Woo Baek-
dc.contributor.authorIn-Sun Chu-
dc.contributor.authorS Yi-
dc.contributor.authorS E Lee-
dc.contributor.authorY J Park-
dc.contributor.authorE J Chung-
dc.contributor.authorJ M Kim-
dc.contributor.authorH M Ko-
dc.contributor.authorJ R Kim-
dc.contributor.authorS N Jung-
dc.contributor.authorH R Won-
dc.contributor.authorJ W Chang-
dc.contributor.authorB S Koo-
dc.contributor.authorSeon-Young Kim-
dc.date.accessioned2022-06-02T15:31:52Z-
dc.date.available2022-06-02T15:31:52Z-
dc.date.issued2022-
dc.identifier.issn1976-8710-
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/26105-
dc.description.abstractObjectives: Thyroid cancer is the most common endocrine tumor, with rapidly increasing incidence worldwide. However, its transcriptomic characteristics associated with immunological signatures, driver fusions, and recurrence markers remain unclear. We aimed to investigate the transcriptomic characteristics of advanced papillary thyroid cancer. Methods: This study included 282 papillary thyroid cancer tumor samples and 155 normal samples from Chungnam National University Hospital and Seoul National University Hospital. Transcriptomic quantification was determined by high-throughput RNA sequencing. We investigated the associations of clinical parameters and molecular signatures using RNA sequencing. We validated predictive biomarkers using the Cancer Genome Atlas database. Results: Through a comparison of differentially expressed genes, gene sets, and pathways in papillary thyroid cancer compared to normal tumor-adjacent tissue, we found increased immune signaling associated with cytokines or T cells and decreased thyroid hormone synthetic pathways. In addition, patients with recurrence presented increased CD8+ T-cell and Th1-cell signatures. Interestingly, we found differentially overexpressed genes related to immune-escape signaling such as CTLA4, IDO1, LAG3, and PDCD1 in advanced papillary thyroid cancer with a low thyroid differentiation score. Fusion analysis showed that the PI3K and mitogen-activated protein kinase (MAPK) signaling pathways were regulated differently according to the RET fusion partner genes (CCDC6 or NCOA4). Finally, we identified HOXD9 as a novel molecular biomarker that predicts the recurrence of thyroid cancer in addition to known risk factors (tumor size, lymph node metastasis, and extrathyroidal extension). Conclusion: We identified a high association with immune-escape signaling in the immune-hot group with aggressive clinical characteristics among Korean thyroid cancer patients. Moreover, RET fusion differentially regulated PI3K and MAPK signaling depending on the partner gene of RET, and HOXD9 was found to be a recurrence marker for advanced papillary thyroid cancer.-
dc.publisherKorea Soc-Assoc-Inst-
dc.titleTranscriptomic analysis of papillary thyroid cancer: a focus on immune-subtyping, oncogenic fusion, and recurrence-
dc.title.alternativeTranscriptomic analysis of papillary thyroid cancer: a focus on immune-subtyping, oncogenic fusion, and recurrence-
dc.typeArticle-
dc.citation.titleClinical and Experimental Otorhinolaryngology-
dc.citation.number2-
dc.citation.endPage193-
dc.citation.startPage183-
dc.citation.volume15-
dc.contributor.affiliatedAuthorSeung Jin Park-
dc.contributor.affiliatedAuthorJeong Hwan Kim-
dc.contributor.affiliatedAuthorJong Lyul Park-
dc.contributor.affiliatedAuthorSeon-Kyu Kim-
dc.contributor.affiliatedAuthorSeung Woo Baek-
dc.contributor.affiliatedAuthorIn-Sun Chu-
dc.contributor.affiliatedAuthorSeon-Young Kim-
dc.contributor.alternativeName박승진-
dc.contributor.alternativeName강예은-
dc.contributor.alternativeName김정환-
dc.contributor.alternativeName박종열-
dc.contributor.alternativeName김선규-
dc.contributor.alternativeName백승우-
dc.contributor.alternativeName추인선-
dc.contributor.alternativeName이신애-
dc.contributor.alternativeName이성은-
dc.contributor.alternativeName박영주-
dc.contributor.alternativeName정은재-
dc.contributor.alternativeName김진만-
dc.contributor.alternativeName고혜미-
dc.contributor.alternativeName김제령-
dc.contributor.alternativeName정승남-
dc.contributor.alternativeName원호련-
dc.contributor.alternativeName장재원-
dc.contributor.alternativeName구본석-
dc.contributor.alternativeName김선영-
dc.identifier.bibliographicCitationClinical and Experimental Otorhinolaryngology, vol. 15, no. 2, pp. 183-193-
dc.identifier.doi10.21053/ceo.2021.02215-
dc.subject.keywordThyroid cancer-
dc.subject.keywordKorean thyroid cancer-
dc.subject.keywordAdvanced papillary thyroid cancer-
dc.subject.keywordRNA sequencing-
dc.subject.keywordImmune subtyping-
dc.subject.keywordImmune-escape signaling-
dc.subject.keywordFusion outlier-
dc.subject.keywordPredictive biomarker-
dc.subject.keywordRET-
dc.subject.keywordHOXD9-
dc.subject.localThyroid cancer-
dc.subject.localthyroid cancer-
dc.subject.localKorean thyroid cancer-
dc.subject.localAdvanced papillary thyroid cancer-
dc.subject.localRNA sequencing-
dc.subject.localRNA sequencing (RNA-seq)-
dc.subject.localrna sequence-
dc.subject.localImmune subtyping-
dc.subject.localImmune-escape signaling-
dc.subject.localFusion outlier-
dc.subject.localPredictive biomarker-
dc.subject.localRET-
dc.subject.localHOXD9-
dc.description.journalClassY-
Appears in Collections:
Aging Convergence Research Center > 1. Journal Articles
Division of A.I. & Biomedical Research > Metabolic Regulation Research Center > 1. Journal Articles
Files in This Item:
  • There are no files associated with this item.


Items in OpenAccess@KRIBB are protected by copyright, with all rights reserved, unless otherwise indicated.