Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity

Tomasz Stokowy; Bartosz Wojtas; Barbara Jarzab; Knut Krohn; David Fredman; Henning Dralle; Thomas Musholt; Steffen Hauptmann; Dariusz Lange; Laszlo Hegedus; Ralf Paschke; Markus Eszlinger

doi:10.1007/s12020-016-1021-7

Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity

Tomasz Stokowy, Bartosz Wojtas, Barbara Jarzab, Knut Krohn, David Fredman, Henning Dralle, Thomas Musholt, Steffen Hauptmann, Dariusz Lange, Laszlo Hegedus, Ralf Paschke, Markus Eszlinger

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	440-447
Journal	Endocrine
Volume	54
Issue number	2
DOIs	https://doi.org/10.1007/s12020-016-1021-7
Publication status	Published - Nov 2016

Keywords

Follicular thyroid cancer
Follicular thyroid adenoma
High-throughput sequencing
Classifier
miRNA
Fine needle aspiration cytology

Access to Document

10.1007/s12020-016-1021-7

Cite this

Stokowy, T., Wojtas, B., Jarzab, B., Krohn, K., Fredman, D., Dralle, H., Musholt, T., Hauptmann, S., Lange, D., Hegedus, L., Paschke, R., & Eszlinger, M. (2016). Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity. Endocrine, 54(2), 440-447. https://doi.org/10.1007/s12020-016-1021-7

Stokowy, Tomasz ; Wojtas, Bartosz ; Jarzab, Barbara ; Krohn, Knut ; Fredman, David ; Dralle, Henning ; Musholt, Thomas ; Hauptmann, Steffen ; Lange, Dariusz ; Hegedus, Laszlo ; Paschke, Ralf ; Eszlinger, Markus. / Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity. In: Endocrine. 2016 ; Vol. 54, No. 2. pp. 440-447.

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keywords = "Follicular thyroid cancer, Follicular thyroid adenoma, High-throughput sequencing, Classifier, miRNA, Fine needle aspiration cytology",

author = "Tomasz Stokowy and Bartosz Wojtas and Barbara Jarzab and Knut Krohn and David Fredman and Henning Dralle and Thomas Musholt and Steffen Hauptmann and Dariusz Lange and Laszlo Hegedus and Ralf Paschke and Markus Eszlinger",

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Stokowy, T, Wojtas, B, Jarzab, B, Krohn, K, Fredman, D, Dralle, H, Musholt, T, Hauptmann, S, Lange, D, Hegedus, L, Paschke, R & Eszlinger, M 2016, 'Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity', Endocrine, vol. 54, no. 2, pp. 440-447. https://doi.org/10.1007/s12020-016-1021-7

Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity. / Stokowy, Tomasz; Wojtas, Bartosz; Jarzab, Barbara; Krohn, Knut; Fredman, David; Dralle, Henning; Musholt, Thomas; Hauptmann, Steffen; Lange, Dariusz; Hegedus, Laszlo; Paschke, Ralf; Eszlinger, Markus.

In: Endocrine, Vol. 54, No. 2, 11.2016, p. 440-447.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Two-miRNA classifiers differentiate mutation-negative follicular thyroid carcinomas and follicular thyroid adenomas in fine needle aspirations with high specificity

AU - Stokowy, Tomasz

AU - Wojtas, Bartosz

AU - Jarzab, Barbara

AU - Krohn, Knut

AU - Fredman, David

AU - Dralle, Henning

AU - Musholt, Thomas

AU - Hauptmann, Steffen

AU - Lange, Dariusz

AU - Hegedus, Laszlo

AU - Paschke, Ralf

AU - Eszlinger, Markus

PY - 2016/11

Y1 - 2016/11

KW - Follicular thyroid cancer

KW - Follicular thyroid adenoma

KW - High-throughput sequencing

KW - Classifier

KW - miRNA

KW - Fine needle aspiration cytology

U2 - 10.1007/s12020-016-1021-7

DO - 10.1007/s12020-016-1021-7

M3 - Article

VL - 54

SP - 440

EP - 447

JO - Endocrine

JF - Endocrine

SN - 1355-008X

IS - 2

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