<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Shang S</submitter><funding>Supported by the Research Program of Wuhan Municipal Health and Family Planning Commission</funding><pagination>3000605241233166</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10924567</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>52(3)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>To investigate the correlations between multigene alterations and clinicopathological features in papillary thyroid carcinoma (PTC) samples.&lt;h4>Methods&lt;/h4>In this retrospective study, 111 cytological specimens of thyroid nodules, including 74 PTC samples and 37 benign samples, were analyzed using a 22-gene mutation assay employing next-generation sequencing. Clinicopathological information was retrospectively collected and analyzed.&lt;h4>Results&lt;/h4>Gene alterations were associated with a higher rate of lymph node metastasis (LNM) and thyroid capsular invasion, a lower rate of coexisting Hashimoto's thyroiditis, the classical PTC subtype, and younger age (&lt;45 years). Among the 22 genes tested, the &lt;i>BRAF&lt;/i> mutation rates showed a significant difference between the PTC and benign groups. In the subgroup analysis, younger age (odds ratio = 12.512, 95% confidence interval: 3.126-50.087) was an independent risk factor for LNM. In further analyses, &lt;i>BRAF&lt;/i> mutation was significantly associated with LNM in the older subgroup (age ≥ 45 years), suggesting that the &lt;i>BRAF&lt;/i> mutation test has greater value for determining PTC prognosis in the older age group.&lt;h4>Conclusions&lt;/h4>Our findings will provide a more comprehensive understanding of the relationship between gene mutations and PTC and may contribute to improved PTC management.</pubmed_abstract><journal>The Journal of international medical research</journal><pubmed_title>Correlation between genetic alterations and clinicopathological features of papillary thyroid carcinomas.</pubmed_title><pmcid>PMC10924567</pmcid><funding_grant_id>[WH21Z40]</funding_grant_id><pubmed_authors>Yang H</pubmed_authors><pubmed_authors>Feng N</pubmed_authors><pubmed_authors>Liu H</pubmed_authors><pubmed_authors>Wu J</pubmed_authors><pubmed_authors>Li X</pubmed_authors><pubmed_authors>Zheng Z</pubmed_authors><pubmed_authors>Chen M</pubmed_authors><pubmed_authors>Zhang Y</pubmed_authors><pubmed_authors>Shi X</pubmed_authors><pubmed_authors>Shang S</pubmed_authors></additional><is_claimable>false</is_claimable><name>Correlation between genetic alterations and clinicopathological features of papillary thyroid carcinomas.</name><description>&lt;h4>Objective&lt;/h4>To investigate the correlations between multigene alterations and clinicopathological features in papillary thyroid carcinoma (PTC) samples.&lt;h4>Methods&lt;/h4>In this retrospective study, 111 cytological specimens of thyroid nodules, including 74 PTC samples and 37 benign samples, were analyzed using a 22-gene mutation assay employing next-generation sequencing. Clinicopathological information was retrospectively collected and analyzed.&lt;h4>Results&lt;/h4>Gene alterations were associated with a higher rate of lymph node metastasis (LNM) and thyroid capsular invasion, a lower rate of coexisting Hashimoto's thyroiditis, the classical PTC subtype, and younger age (&lt;45 years). Among the 22 genes tested, the &lt;i>BRAF&lt;/i> mutation rates showed a significant difference between the PTC and benign groups. In the subgroup analysis, younger age (odds ratio = 12.512, 95% confidence interval: 3.126-50.087) was an independent risk factor for LNM. In further analyses, &lt;i>BRAF&lt;/i> mutation was significantly associated with LNM in the older subgroup (age ≥ 45 years), suggesting that the &lt;i>BRAF&lt;/i> mutation test has greater value for determining PTC prognosis in the older age group.&lt;h4>Conclusions&lt;/h4>Our findings will provide a more comprehensive understanding of the relationship between gene mutations and PTC and may contribute to improved PTC management.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Mar</publication><modification>2026-06-23T03:20:39.746Z</modification><creation>2025-04-22T00:57:13.769Z</creation></dates><accession>S-EPMC10924567</accession><cross_references><pubmed>38456650</pubmed><doi>10.1177/03000605241233166</doi></cross_references></HashMap>