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A new risk factor indicator for papillary thyroid cancer based on immune infiltration
Increasing evidence has indicated a close association between immune infiltration in cancer and clinical outcomes. However, related research in thyroid cancer is still deficient. Our research comprehensively investigated the immune infiltration of thyroid cancer. Data derived from TCGA and GEO datab...
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Published in: | Cell death & disease 2021-01, Vol.12 (1), p.51-51, Article 51 |
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description | Increasing evidence has indicated a close association between immune infiltration in cancer and clinical outcomes. However, related research in thyroid cancer is still deficient. Our research comprehensively investigated the immune infiltration of thyroid cancer. Data derived from TCGA and GEO databases were analyzed by the CIBERSORT, ESTIMATE, and EPIC algorithms. The CIBERSORT algorithm calculates the proportions of 22 types of immune cells. ESTIMATE algorithm calculates a stromal score to represent all stromal cells in cancer. The EPIC algorithm calculates the proportions of cancer-associated fibroblasts (CAFs) and endothelial cells (ECs), which are the main components of stromal cells. We analyzed the correlation of immune infiltration with clinical characteristics and outcomes of patients. We determined that the infiltration of CD8
+
T cells improved the survival of thyroid cancer patients. Overexpression of immune checkpoints was closely related to the development of thyroid cancer. In general, stromal cells were associated with the progression of thyroid cancer. Interestingly, CAFs and ECs had opposite roles in this process. In addition, the BRAF
V600E
mutation was related to the upregulation of immune checkpoints and CAFs and the downregulation of CD8
+
T cells and ECs. Finally, we constructed an immune risk score model to predict the prognosis and development of thyroid cancer. Our research demonstrated a comprehensive panorama of immune infiltration in thyroid cancer, which may provide potential value for immunotherapy. |
doi_str_mv | 10.1038/s41419-020-03294-z |
format | article |
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+
T cells improved the survival of thyroid cancer patients. Overexpression of immune checkpoints was closely related to the development of thyroid cancer. In general, stromal cells were associated with the progression of thyroid cancer. Interestingly, CAFs and ECs had opposite roles in this process. In addition, the BRAF
V600E
mutation was related to the upregulation of immune checkpoints and CAFs and the downregulation of CD8
+
T cells and ECs. Finally, we constructed an immune risk score model to predict the prognosis and development of thyroid cancer. Our research demonstrated a comprehensive panorama of immune infiltration in thyroid cancer, which may provide potential value for immunotherapy.</description><identifier>ISSN: 2041-4889</identifier><identifier>EISSN: 2041-4889</identifier><identifier>DOI: 10.1038/s41419-020-03294-z</identifier><identifier>PMID: 33414407</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>13/51 ; 45/43 ; 631/67/327 ; 631/67/580 ; Algorithms ; Antibodies ; Biochemistry ; Biomedical and Life Sciences ; CD8 antigen ; Cell Biology ; Cell Culture ; Endothelial cells ; Fibroblasts ; Immune checkpoint ; Immunology ; Immunotherapy ; Infiltration ; Life Sciences ; Lymphocytes T ; Medical prognosis ; Papillary thyroid cancer ; Risk factors ; Stromal cells ; Thyroid cancer</subject><ispartof>Cell death & disease, 2021-01, Vol.12 (1), p.51-51, Article 51</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. 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-49b0c56abfa927562a46f9a6687bac2e8c930e760fc3460bd50ff0408eb727b33</citedby><cites>FETCH-LOGICAL-c540t-49b0c56abfa927562a46f9a6687bac2e8c930e760fc3460bd50ff0408eb727b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2476042088/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2476042088?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,25730,27900,27901,36988,36989,44565,53765,53767,75095</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33414407$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yang, Zhou</creatorcontrib><creatorcontrib>Wei, Xiyi</creatorcontrib><creatorcontrib>Pan, Yitong</creatorcontrib><creatorcontrib>Xu, Jingyuan</creatorcontrib><creatorcontrib>Si, Yan</creatorcontrib><creatorcontrib>Min, Zhijun</creatorcontrib><creatorcontrib>Yu, Bo</creatorcontrib><title>A new risk factor indicator for papillary thyroid cancer based on immune infiltration</title><title>Cell death & disease</title><addtitle>Cell Death Dis</addtitle><addtitle>Cell Death Dis</addtitle><description>Increasing evidence has indicated a close association between immune infiltration in cancer and clinical outcomes. However, related research in thyroid cancer is still deficient. Our research comprehensively investigated the immune infiltration of thyroid cancer. Data derived from TCGA and GEO databases were analyzed by the CIBERSORT, ESTIMATE, and EPIC algorithms. The CIBERSORT algorithm calculates the proportions of 22 types of immune cells. ESTIMATE algorithm calculates a stromal score to represent all stromal cells in cancer. The EPIC algorithm calculates the proportions of cancer-associated fibroblasts (CAFs) and endothelial cells (ECs), which are the main components of stromal cells. We analyzed the correlation of immune infiltration with clinical characteristics and outcomes of patients. We determined that the infiltration of CD8
+
T cells improved the survival of thyroid cancer patients. Overexpression of immune checkpoints was closely related to the development of thyroid cancer. In general, stromal cells were associated with the progression of thyroid cancer. Interestingly, CAFs and ECs had opposite roles in this process. In addition, the BRAF
V600E
mutation was related to the upregulation of immune checkpoints and CAFs and the downregulation of CD8
+
T cells and ECs. Finally, we constructed an immune risk score model to predict the prognosis and development of thyroid cancer. Our research demonstrated a comprehensive panorama of immune infiltration in thyroid cancer, which may provide potential value for immunotherapy.</description><subject>13/51</subject><subject>45/43</subject><subject>631/67/327</subject><subject>631/67/580</subject><subject>Algorithms</subject><subject>Antibodies</subject><subject>Biochemistry</subject><subject>Biomedical and Life Sciences</subject><subject>CD8 antigen</subject><subject>Cell Biology</subject><subject>Cell Culture</subject><subject>Endothelial cells</subject><subject>Fibroblasts</subject><subject>Immune checkpoint</subject><subject>Immunology</subject><subject>Immunotherapy</subject><subject>Infiltration</subject><subject>Life Sciences</subject><subject>Lymphocytes T</subject><subject>Medical prognosis</subject><subject>Papillary thyroid cancer</subject><subject>Risk factors</subject><subject>Stromal cells</subject><subject>Thyroid cancer</subject><issn>2041-4889</issn><issn>2041-4889</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9Uk1v1DAQjRCIVqV_gAOKxIVLYPxtX5Cqio9KlbjQs-U49tZLYi92QtX-erybUloOWLI88rz3PDN-TfMawXsERH4oFFGkOsDQAcGKdnfPmmMMFHVUSvX8UXzUnJayhboIAcz4y-aIkMqmII6bq7M2ups2h_Kj9cbOKbchDsGafeTr3pldGEeTb9v5-janMLTWROty25vihjbFNkzTEl2l-TDO2cwhxVfNC2_G4k7vz5Pm6vOn7-dfu8tvXy7Ozy47yyjMHVU9WMZN743CgnFsKPfKcC5Fbyx20ioCTnDwllAO_cDAe6AgXS-w6Ak5aS5W3SGZrd7lMNVCdTJBHy5S3miT52BHp6mR3PcEGHOcIs-VQgRxPHAiMJFYVa2Pq9Zu6Sc3WBdrM-MT0aeZGK71Jv3SQigETFaBd_cCOf1cXJn1FIp1dXjRpaVoTAVnTClKK_TtP9BtWnKsozqggGKQe0G8omxOpWTnH4pBoPcm0KsJdDWBPphA31XSm8dtPFD-fHkFkBVQaipuXP779n9kfwOXAryj</recordid><startdate>20210106</startdate><enddate>20210106</enddate><creator>Yang, Zhou</creator><creator>Wei, Xiyi</creator><creator>Pan, Yitong</creator><creator>Xu, Jingyuan</creator><creator>Si, Yan</creator><creator>Min, Zhijun</creator><creator>Yu, Bo</creator><general>Nature Publishing Group UK</general><general>Springer Nature B.V</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M2P</scope><scope>M7P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20210106</creationdate><title>A new risk factor indicator for papillary thyroid cancer based on immune infiltration</title><author>Yang, Zhou ; 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However, related research in thyroid cancer is still deficient. Our research comprehensively investigated the immune infiltration of thyroid cancer. Data derived from TCGA and GEO databases were analyzed by the CIBERSORT, ESTIMATE, and EPIC algorithms. The CIBERSORT algorithm calculates the proportions of 22 types of immune cells. ESTIMATE algorithm calculates a stromal score to represent all stromal cells in cancer. The EPIC algorithm calculates the proportions of cancer-associated fibroblasts (CAFs) and endothelial cells (ECs), which are the main components of stromal cells. We analyzed the correlation of immune infiltration with clinical characteristics and outcomes of patients. We determined that the infiltration of CD8
+
T cells improved the survival of thyroid cancer patients. Overexpression of immune checkpoints was closely related to the development of thyroid cancer. In general, stromal cells were associated with the progression of thyroid cancer. Interestingly, CAFs and ECs had opposite roles in this process. In addition, the BRAF
V600E
mutation was related to the upregulation of immune checkpoints and CAFs and the downregulation of CD8
+
T cells and ECs. Finally, we constructed an immune risk score model to predict the prognosis and development of thyroid cancer. Our research demonstrated a comprehensive panorama of immune infiltration in thyroid cancer, which may provide potential value for immunotherapy.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33414407</pmid><doi>10.1038/s41419-020-03294-z</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 13/51 45/43 631/67/327 631/67/580 Algorithms Antibodies Biochemistry Biomedical and Life Sciences CD8 antigen Cell Biology Cell Culture Endothelial cells Fibroblasts Immune checkpoint Immunology Immunotherapy Infiltration Life Sciences Lymphocytes T Medical prognosis Papillary thyroid cancer Risk factors Stromal cells Thyroid cancer |
title | A new risk factor indicator for papillary thyroid cancer based on immune infiltration |
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