The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes
Thyroid carcinomas are known to harbor oncogenic driver mutations and advances in sequencing technology now allow the detection of these in fine needle aspiration biopsies (FNA). Recent work by The Cancer Genome Atlas (TCGA) Research Network has expanded the number of genetic alterations detected in...
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creator | Pagan, Moraima Kloos, Richard T Lin, Chu-Fang Travers, Kevin J Matsuzaki, Hajime Tom, Ed Y Kim, Su Yeon Wong, Mei G Stewart, Andrew C Huang, Jing Walsh, P Sean Monroe, Robert J Kennedy, Giulia C |
description | Thyroid carcinomas are known to harbor oncogenic driver mutations and advances in sequencing technology now allow the detection of these in fine needle aspiration biopsies (FNA). Recent work by The Cancer Genome Atlas (TCGA) Research Network has expanded the number of genetic alterations detected in papillary thyroid carcinomas (PTC). We sought to investigate the prevalence of these and other genetic alterations in diverse subtypes of thyroid nodules beyond PTC, including a variety of samples with benign histopathology. This is the first clinical evaluation of a large panel of TCGA-reported genomic alterations in thyroid FNAs.
In FNAs, genetic alterations were detected in 19/44 malignant samples (43% sensitivity) and in 7/44 histopathology benign samples (84% specificity). Overall, after adding a cohort of tissue samples, 38/76 (50%) of histopathology malignant samples were found to harbor a genetic alteration, while 15/75 (20%) of benign samples were also mutated. The most frequently mutated malignant subtypes were medullary thyroid carcinoma (9/12, 75%) and PTC (14/30, 47%). Additionally, follicular adenoma, a benign subtype of thyroid neoplasm, was also found to harbor mutations (12/29, 41%). Frequently mutated genes in malignant samples included BRAF (20/76, 26%) and RAS (9/76, 12%). Of the TSHR variants detected, (6/7, 86%) were in benign nodules. In a direct comparison of the same FNA also tested by an RNA-based gene expression classifier (GEC), the sensitivity of genetic alterations alone was 42%, compared to the 91% sensitivity achieved by the GEC. The specificity based only on genetic alterations was 84%, compared to 77% specificity with the GEC.
While the genomic landscape of all thyroid neoplasm subtypes will inevitably be elucidated, caution should be used in the early adoption of published mutations as the sole predictor of malignancy in thyroid. The largest set of such mutations known to date detects only a portion of thyroid carcinomas in preoperative FNAs in our cohort and thus is not sufficient to rule out cancer. Due to the finding that variants are also found in benign nodules, testing only GEC suspicious nodules may be helpful in avoiding false positives and altering the extent of treatment when selected mutations are found. |
doi_str_mv | 10.1186/s12859-015-0849-9 |
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In FNAs, genetic alterations were detected in 19/44 malignant samples (43% sensitivity) and in 7/44 histopathology benign samples (84% specificity). Overall, after adding a cohort of tissue samples, 38/76 (50%) of histopathology malignant samples were found to harbor a genetic alteration, while 15/75 (20%) of benign samples were also mutated. The most frequently mutated malignant subtypes were medullary thyroid carcinoma (9/12, 75%) and PTC (14/30, 47%). Additionally, follicular adenoma, a benign subtype of thyroid neoplasm, was also found to harbor mutations (12/29, 41%). Frequently mutated genes in malignant samples included BRAF (20/76, 26%) and RAS (9/76, 12%). Of the TSHR variants detected, (6/7, 86%) were in benign nodules. In a direct comparison of the same FNA also tested by an RNA-based gene expression classifier (GEC), the sensitivity of genetic alterations alone was 42%, compared to the 91% sensitivity achieved by the GEC. The specificity based only on genetic alterations was 84%, compared to 77% specificity with the GEC.
While the genomic landscape of all thyroid neoplasm subtypes will inevitably be elucidated, caution should be used in the early adoption of published mutations as the sole predictor of malignancy in thyroid. The largest set of such mutations known to date detects only a portion of thyroid carcinomas in preoperative FNAs in our cohort and thus is not sufficient to rule out cancer. Due to the finding that variants are also found in benign nodules, testing only GEC suspicious nodules may be helpful in avoiding false positives and altering the extent of treatment when selected mutations are found.</description><identifier>ISSN: 1471-2105</identifier><identifier>EISSN: 1471-2105</identifier><identifier>DOI: 10.1186/s12859-015-0849-9</identifier><identifier>PMID: 26818556</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Adenocarcinoma, Follicular - diagnosis ; Adenocarcinoma, Follicular - genetics ; Biomarkers, Tumor - genetics ; Biopsy, Fine-Needle ; Cancer patients ; Carcinoma - diagnosis ; Carcinoma - genetics ; Carcinoma, Neuroendocrine - diagnosis ; Carcinoma, Neuroendocrine - genetics ; Carcinoma, Papillary ; Care and treatment ; Complications and side effects ; Gene Fusion - genetics ; Genetic Variation - genetics ; Genomes ; Health aspects ; High-Throughput Nucleotide Sequencing - methods ; Humans ; Patient outcomes ; Proceedings ; Prospective Studies ; RNA sequencing ; ROC Curve ; Sequence Analysis, RNA - methods ; Thyroid cancer ; Thyroid Cancer, Papillary ; Thyroid Neoplasms - diagnosis ; Thyroid Neoplasms - genetics ; Thyroid Nodule - diagnosis ; Thyroid Nodule - genetics</subject><ispartof>BMC bioinformatics, 2016-01, Vol.17 Suppl 1 (2), p.6-6, Article S6</ispartof><rights>COPYRIGHT 2016 BioMed Central Ltd.</rights><rights>Pagan et al. 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c500t-b387b8803c24bbd470284cc2aa02b1a0cce3bc2f35a7dfeff6ce0ca214c86ebd3</citedby><cites>FETCH-LOGICAL-c500t-b387b8803c24bbd470284cc2aa02b1a0cce3bc2f35a7dfeff6ce0ca214c86ebd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895782/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895782/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26818556$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pagan, Moraima</creatorcontrib><creatorcontrib>Kloos, Richard T</creatorcontrib><creatorcontrib>Lin, Chu-Fang</creatorcontrib><creatorcontrib>Travers, Kevin J</creatorcontrib><creatorcontrib>Matsuzaki, Hajime</creatorcontrib><creatorcontrib>Tom, Ed Y</creatorcontrib><creatorcontrib>Kim, Su Yeon</creatorcontrib><creatorcontrib>Wong, Mei G</creatorcontrib><creatorcontrib>Stewart, Andrew C</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Walsh, P Sean</creatorcontrib><creatorcontrib>Monroe, Robert J</creatorcontrib><creatorcontrib>Kennedy, Giulia C</creatorcontrib><title>The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes</title><title>BMC bioinformatics</title><addtitle>BMC Bioinformatics</addtitle><description>Thyroid carcinomas are known to harbor oncogenic driver mutations and advances in sequencing technology now allow the detection of these in fine needle aspiration biopsies (FNA). Recent work by The Cancer Genome Atlas (TCGA) Research Network has expanded the number of genetic alterations detected in papillary thyroid carcinomas (PTC). We sought to investigate the prevalence of these and other genetic alterations in diverse subtypes of thyroid nodules beyond PTC, including a variety of samples with benign histopathology. This is the first clinical evaluation of a large panel of TCGA-reported genomic alterations in thyroid FNAs.
In FNAs, genetic alterations were detected in 19/44 malignant samples (43% sensitivity) and in 7/44 histopathology benign samples (84% specificity). Overall, after adding a cohort of tissue samples, 38/76 (50%) of histopathology malignant samples were found to harbor a genetic alteration, while 15/75 (20%) of benign samples were also mutated. The most frequently mutated malignant subtypes were medullary thyroid carcinoma (9/12, 75%) and PTC (14/30, 47%). Additionally, follicular adenoma, a benign subtype of thyroid neoplasm, was also found to harbor mutations (12/29, 41%). Frequently mutated genes in malignant samples included BRAF (20/76, 26%) and RAS (9/76, 12%). Of the TSHR variants detected, (6/7, 86%) were in benign nodules. In a direct comparison of the same FNA also tested by an RNA-based gene expression classifier (GEC), the sensitivity of genetic alterations alone was 42%, compared to the 91% sensitivity achieved by the GEC. The specificity based only on genetic alterations was 84%, compared to 77% specificity with the GEC.
While the genomic landscape of all thyroid neoplasm subtypes will inevitably be elucidated, caution should be used in the early adoption of published mutations as the sole predictor of malignancy in thyroid. The largest set of such mutations known to date detects only a portion of thyroid carcinomas in preoperative FNAs in our cohort and thus is not sufficient to rule out cancer. Due to the finding that variants are also found in benign nodules, testing only GEC suspicious nodules may be helpful in avoiding false positives and altering the extent of treatment when selected mutations are found.</description><subject>Adenocarcinoma, Follicular - diagnosis</subject><subject>Adenocarcinoma, Follicular - genetics</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biopsy, Fine-Needle</subject><subject>Cancer patients</subject><subject>Carcinoma - diagnosis</subject><subject>Carcinoma - genetics</subject><subject>Carcinoma, Neuroendocrine - diagnosis</subject><subject>Carcinoma, Neuroendocrine - genetics</subject><subject>Carcinoma, Papillary</subject><subject>Care and treatment</subject><subject>Complications and side effects</subject><subject>Gene Fusion - genetics</subject><subject>Genetic Variation - genetics</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>High-Throughput Nucleotide Sequencing - methods</subject><subject>Humans</subject><subject>Patient outcomes</subject><subject>Proceedings</subject><subject>Prospective Studies</subject><subject>RNA sequencing</subject><subject>ROC Curve</subject><subject>Sequence Analysis, RNA - methods</subject><subject>Thyroid cancer</subject><subject>Thyroid Cancer, Papillary</subject><subject>Thyroid Neoplasms - diagnosis</subject><subject>Thyroid Neoplasms - genetics</subject><subject>Thyroid Nodule - diagnosis</subject><subject>Thyroid Nodule - genetics</subject><issn>1471-2105</issn><issn>1471-2105</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNptkt1q3DAQhU1paX7aB-hNEfSmuXCqkSVb7kVgCf0JhBbS9FqMx7JXxSu5ljftvkCfuzKbhiwUCTRovnNghpNlr4CfA-jyXQShVZ1zUDnXss7rJ9kxyApyAVw9fVQfZScx_uAcKs3V8-xIlBq0UuVx9ud2bVnrsPchzo4YjuPgCGcXPAsdu_myYtH-3FpPzvfMeTamnvVzZL_cvGbzejcF1zJCT3Z6z9Cni8MuurjItQJ2h5PDRYC-ZVAUrNvG5B4XMyUk66238UX2rMMh2pf372n2_eOH28vP-fXXT1eXq-ucFOdz3hS6arTmBQnZNK2suNCSSCBy0QByIls0JLpCYdV2tutKspxQgCRd2qYtTrOLve-4bTa2pTTJhIMZJ7fBaWcCOnPY8W5t-nBnpK5VpUUyeHtvMIW0ljibjYtkhwG9DdtooCpBlhJAJvTNHu1xsMb5LiRHWnCzkhK0SJ5Fos7_Q6XT2o2j4G3n0v-B4OxAkJjZ_p573MZorr7dHLKwZ2kKMU62e5gUuFkiZPYRMilCZomQqZPm9eMVPSj-Zab4Cytnwao</recordid><startdate>20160111</startdate><enddate>20160111</enddate><creator>Pagan, Moraima</creator><creator>Kloos, Richard T</creator><creator>Lin, Chu-Fang</creator><creator>Travers, Kevin J</creator><creator>Matsuzaki, Hajime</creator><creator>Tom, Ed Y</creator><creator>Kim, Su Yeon</creator><creator>Wong, Mei G</creator><creator>Stewart, Andrew C</creator><creator>Huang, Jing</creator><creator>Walsh, P Sean</creator><creator>Monroe, Robert J</creator><creator>Kennedy, Giulia C</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><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>ISR</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160111</creationdate><title>The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes</title><author>Pagan, Moraima ; Kloos, Richard T ; Lin, Chu-Fang ; Travers, Kevin J ; Matsuzaki, Hajime ; Tom, Ed Y ; Kim, Su Yeon ; Wong, Mei G ; Stewart, Andrew C ; Huang, Jing ; Walsh, P Sean ; Monroe, Robert J ; Kennedy, Giulia C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c500t-b387b8803c24bbd470284cc2aa02b1a0cce3bc2f35a7dfeff6ce0ca214c86ebd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adenocarcinoma, Follicular - diagnosis</topic><topic>Adenocarcinoma, Follicular - genetics</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biopsy, Fine-Needle</topic><topic>Cancer patients</topic><topic>Carcinoma - diagnosis</topic><topic>Carcinoma - genetics</topic><topic>Carcinoma, Neuroendocrine - diagnosis</topic><topic>Carcinoma, Neuroendocrine - genetics</topic><topic>Carcinoma, Papillary</topic><topic>Care and treatment</topic><topic>Complications and side effects</topic><topic>Gene Fusion - genetics</topic><topic>Genetic Variation - genetics</topic><topic>Genomes</topic><topic>Health aspects</topic><topic>High-Throughput Nucleotide Sequencing - methods</topic><topic>Humans</topic><topic>Patient outcomes</topic><topic>Proceedings</topic><topic>Prospective Studies</topic><topic>RNA sequencing</topic><topic>ROC Curve</topic><topic>Sequence Analysis, RNA - methods</topic><topic>Thyroid cancer</topic><topic>Thyroid Cancer, Papillary</topic><topic>Thyroid Neoplasms - diagnosis</topic><topic>Thyroid Neoplasms - genetics</topic><topic>Thyroid Nodule - diagnosis</topic><topic>Thyroid Nodule - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pagan, Moraima</creatorcontrib><creatorcontrib>Kloos, Richard T</creatorcontrib><creatorcontrib>Lin, Chu-Fang</creatorcontrib><creatorcontrib>Travers, Kevin J</creatorcontrib><creatorcontrib>Matsuzaki, Hajime</creatorcontrib><creatorcontrib>Tom, Ed Y</creatorcontrib><creatorcontrib>Kim, Su Yeon</creatorcontrib><creatorcontrib>Wong, Mei G</creatorcontrib><creatorcontrib>Stewart, Andrew C</creatorcontrib><creatorcontrib>Huang, Jing</creatorcontrib><creatorcontrib>Walsh, P Sean</creatorcontrib><creatorcontrib>Monroe, Robert J</creatorcontrib><creatorcontrib>Kennedy, Giulia C</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC bioinformatics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pagan, Moraima</au><au>Kloos, Richard T</au><au>Lin, Chu-Fang</au><au>Travers, Kevin J</au><au>Matsuzaki, Hajime</au><au>Tom, Ed Y</au><au>Kim, Su Yeon</au><au>Wong, Mei G</au><au>Stewart, Andrew C</au><au>Huang, Jing</au><au>Walsh, P Sean</au><au>Monroe, Robert J</au><au>Kennedy, Giulia C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes</atitle><jtitle>BMC bioinformatics</jtitle><addtitle>BMC Bioinformatics</addtitle><date>2016-01-11</date><risdate>2016</risdate><volume>17 Suppl 1</volume><issue>2</issue><spage>6</spage><epage>6</epage><pages>6-6</pages><artnum>S6</artnum><issn>1471-2105</issn><eissn>1471-2105</eissn><abstract>Thyroid carcinomas are known to harbor oncogenic driver mutations and advances in sequencing technology now allow the detection of these in fine needle aspiration biopsies (FNA). Recent work by The Cancer Genome Atlas (TCGA) Research Network has expanded the number of genetic alterations detected in papillary thyroid carcinomas (PTC). We sought to investigate the prevalence of these and other genetic alterations in diverse subtypes of thyroid nodules beyond PTC, including a variety of samples with benign histopathology. This is the first clinical evaluation of a large panel of TCGA-reported genomic alterations in thyroid FNAs.
In FNAs, genetic alterations were detected in 19/44 malignant samples (43% sensitivity) and in 7/44 histopathology benign samples (84% specificity). Overall, after adding a cohort of tissue samples, 38/76 (50%) of histopathology malignant samples were found to harbor a genetic alteration, while 15/75 (20%) of benign samples were also mutated. The most frequently mutated malignant subtypes were medullary thyroid carcinoma (9/12, 75%) and PTC (14/30, 47%). Additionally, follicular adenoma, a benign subtype of thyroid neoplasm, was also found to harbor mutations (12/29, 41%). Frequently mutated genes in malignant samples included BRAF (20/76, 26%) and RAS (9/76, 12%). Of the TSHR variants detected, (6/7, 86%) were in benign nodules. In a direct comparison of the same FNA also tested by an RNA-based gene expression classifier (GEC), the sensitivity of genetic alterations alone was 42%, compared to the 91% sensitivity achieved by the GEC. The specificity based only on genetic alterations was 84%, compared to 77% specificity with the GEC.
While the genomic landscape of all thyroid neoplasm subtypes will inevitably be elucidated, caution should be used in the early adoption of published mutations as the sole predictor of malignancy in thyroid. The largest set of such mutations known to date detects only a portion of thyroid carcinomas in preoperative FNAs in our cohort and thus is not sufficient to rule out cancer. Due to the finding that variants are also found in benign nodules, testing only GEC suspicious nodules may be helpful in avoiding false positives and altering the extent of treatment when selected mutations are found.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26818556</pmid><doi>10.1186/s12859-015-0849-9</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma, Follicular - diagnosis Adenocarcinoma, Follicular - genetics Biomarkers, Tumor - genetics Biopsy, Fine-Needle Cancer patients Carcinoma - diagnosis Carcinoma - genetics Carcinoma, Neuroendocrine - diagnosis Carcinoma, Neuroendocrine - genetics Carcinoma, Papillary Care and treatment Complications and side effects Gene Fusion - genetics Genetic Variation - genetics Genomes Health aspects High-Throughput Nucleotide Sequencing - methods Humans Patient outcomes Proceedings Prospective Studies RNA sequencing ROC Curve Sequence Analysis, RNA - methods Thyroid cancer Thyroid Cancer, Papillary Thyroid Neoplasms - diagnosis Thyroid Neoplasms - genetics Thyroid Nodule - diagnosis Thyroid Nodule - genetics |
title | The diagnostic application of RNA sequencing in patients with thyroid cancer: an analysis of 851 variants and 133 fusions in 524 genes |
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