Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate

Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel m...
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Autor*in:	Dandan Wu [verfasserIn] Shudong Hu [verfasserIn] Yongzhong Hou [verfasserIn] Yingying He [verfasserIn] Shubai Liu [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA

Übergeordnetes Werk:	In: BMC Cancer - BMC, 2003, 20(2020), 1, Seite 14
Übergeordnetes Werk:	volume:20 ; year:2020 ; number:1 ; pages:14

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1186/s12885-020-6676-z

Katalog-ID:	DOAJ046572031

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520			\|a Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics.
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author_variant	d w dw s h sh y h yh y h yh s l sl
matchkey_str	article:14712407:2020----::dniiainfoetanvlimresoifrnitmlgathrindls
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allfields	10.1186/s12885-020-6676-z doi (DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48 DE-627 ger DE-627 rakwb eng RC254-282 Dandan Wu verfasserin aut Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics. Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shudong Hu verfasserin aut Yongzhong Hou verfasserin aut Yingying He verfasserin aut Shubai Liu verfasserin aut In BMC Cancer BMC, 2003 20(2020), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:20 year:2020 number:1 pages:14 https://doi.org/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 kostenfrei http://link.springer.com/article/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 14
spelling	10.1186/s12885-020-6676-z doi (DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48 DE-627 ger DE-627 rakwb eng RC254-282 Dandan Wu verfasserin aut Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics. Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shudong Hu verfasserin aut Yongzhong Hou verfasserin aut Yingying He verfasserin aut Shubai Liu verfasserin aut In BMC Cancer BMC, 2003 20(2020), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:20 year:2020 number:1 pages:14 https://doi.org/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 kostenfrei http://link.springer.com/article/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 14
allfields_unstemmed	10.1186/s12885-020-6676-z doi (DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48 DE-627 ger DE-627 rakwb eng RC254-282 Dandan Wu verfasserin aut Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics. Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shudong Hu verfasserin aut Yongzhong Hou verfasserin aut Yingying He verfasserin aut Shubai Liu verfasserin aut In BMC Cancer BMC, 2003 20(2020), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:20 year:2020 number:1 pages:14 https://doi.org/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 kostenfrei http://link.springer.com/article/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 14
allfieldsGer	10.1186/s12885-020-6676-z doi (DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48 DE-627 ger DE-627 rakwb eng RC254-282 Dandan Wu verfasserin aut Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics. Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shudong Hu verfasserin aut Yongzhong Hou verfasserin aut Yingying He verfasserin aut Shubai Liu verfasserin aut In BMC Cancer BMC, 2003 20(2020), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:20 year:2020 number:1 pages:14 https://doi.org/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 kostenfrei http://link.springer.com/article/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 14
allfieldsSound	10.1186/s12885-020-6676-z doi (DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48 DE-627 ger DE-627 rakwb eng RC254-282 Dandan Wu verfasserin aut Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics. Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens Shudong Hu verfasserin aut Yongzhong Hou verfasserin aut Yingying He verfasserin aut Shubai Liu verfasserin aut In BMC Cancer BMC, 2003 20(2020), 1, Seite 14 (DE-627)326643710 (DE-600)2041352-X 14712407 nnns volume:20 year:2020 number:1 pages:14 https://doi.org/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 kostenfrei http://link.springer.com/article/10.1186/s12885-020-6676-z kostenfrei https://doaj.org/toc/1471-2407 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 20 2020 1 14
language	English
source	In BMC Cancer 20(2020), 1, Seite 14 volume:20 year:2020 number:1 pages:14
sourceStr	In BMC Cancer 20(2020), 1, Seite 14 volume:20 year:2020 number:1 pages:14
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA Neoplasms. Tumors. Oncology. Including cancer and carcinogens
isfreeaccess_bool	true
container_title	BMC Cancer
authorswithroles_txt_mv	Dandan Wu @@aut@@ Shudong Hu @@aut@@ Yongzhong Hou @@aut@@ Yingying He @@aut@@ Shubai Liu @@aut@@
publishDateDaySort_date	2020-01-01T00:00:00Z
hierarchy_top_id	326643710
id	DOAJ046572031
language_de	englisch
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callnumber-first	R - Medicine
author	Dandan Wu
spellingShingle	Dandan Wu misc RC254-282 misc Papillary thyroid carcinoma misc Biomarker misc Thyroid nodules misc Fine-needle aspiration biopsy misc WGCNA misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
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topic_title	RC254-282 Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate Papillary thyroid carcinoma Biomarker Thyroid nodules Fine-needle aspiration biopsy WGCNA
topic	misc RC254-282 misc Papillary thyroid carcinoma misc Biomarker misc Thyroid nodules misc Fine-needle aspiration biopsy misc WGCNA misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc Papillary thyroid carcinoma misc Biomarker misc Thyroid nodules misc Fine-needle aspiration biopsy misc WGCNA misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_browse	misc RC254-282 misc Papillary thyroid carcinoma misc Biomarker misc Thyroid nodules misc Fine-needle aspiration biopsy misc WGCNA misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
ctrlnum	(DE-627)DOAJ046572031 (DE-599)DOAJ3aa4bd703ccd4d7185335908a2985e48
title_full	Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
author_sort	Dandan Wu
journal	BMC Cancer
journalStr	BMC Cancer
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author_browse	Dandan Wu Shudong Hu Yongzhong Hou Yingying He Shubai Liu
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class	RC254-282
format_se	Elektronische Aufsätze
author-letter	Dandan Wu
doi_str_mv	10.1186/s12885-020-6676-z
author2-role	verfasserin
title_sort	identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
callnumber	RC254-282
title_auth	Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
abstract	Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics.
abstractGer	Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics.
abstract_unstemmed	Abstract Background The fine-needle aspiration (FNA) biopsy was broadly applied to clinical diagnostics evaluation for thyroid carcinomas nodule, while companioning with higher uncertainty rate (15~30%) to identify malignancy for cytological indeterminate cases. It is requirement to discover novel molecular biomarkers to differentiate malignant thyroid nodule more precise. Methods We employed weighted gene co-expression network analysis (WGCNA) to discover genes significantly associated with malignant histopathology for cytological indeterminate nodules. In addition, identified significantly genes were validated through another independently investigations of thyroid carcinomas patient’s samples via cBioportal and Geipa. The key function pathways of significant genes involving were blast through GenClip. Results Twenty-four signature genes were identified significantly related to thyroid nodules malignancy. Furthermore, five novel genes with missense mutation, FN1 (R534P), PROS1((K200I), (Q571K)), SCEL (T320S), SLC34A2(T688M) and TENM1 (S1131F), were highlighted as potential biomarkers to rule out nodules malignancy. It was identified that the key functional pathways involving in thyroid carcinomas. Conclusion These results will be helpful to better understand the mechanism of thyroid nodules malignant transformation and characterize the potentially biomarkers for thyroid carcinomas early diagnostics.
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title_short	Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate
url	https://doi.org/10.1186/s12885-020-6676-z https://doaj.org/article/3aa4bd703ccd4d7185335908a2985e48 http://link.springer.com/article/10.1186/s12885-020-6676-z https://doaj.org/toc/1471-2407
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author2	Shudong Hu Yongzhong Hou Yingying He Shubai Liu
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up_date	2024-07-03T21:24:24.647Z
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Identification of potential novel biomarkers to differentiate malignant thyroid nodules with cytological indeterminate

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