Gene Expression Profiles of Papillary Thyroid Microcarcinoma

Woo Young Kim; Jae Bok Lee; Seung Pil Jung; Hoon Yub Kim; Sang Uk Woo; Gil Soo Son; Jeoung Won Bae

doi:10.9738/INTSURG-D-17-00049.1

Gene Expression Profiles of Papillary Thyroid Microcarcinoma

Woo Young Kim, Jae Bok Lee, Seung Pil Jung, Hoon Yub Kim, Sang Uk Woo, Gil Soo Son, Jeoung Won Bae

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

2 Citations (Scopus)

Abstract

The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P, 0.05).

Original language	English
Pages (from-to)	39-46
Number of pages	8
Journal	International Surgery
Volume	102
Issue number	1-2
DOIs	https://doi.org/10.9738/INTSURG-D-17-00049.1
Publication status	Published - 2017 Jan 1
Externally published	Yes

Bibliographical note

Funding Information:
The authors report no declarations of interest. This study was sponsored by Korea University Grants.

Keywords

Gene expression profile
Microarray analysis
Papillary thyroid microcarcinoma

ASJC Scopus subject areas

Surgery

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10.9738/INTSURG-D-17-00049.1

Cite this

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title = "Gene Expression Profiles of Papillary Thyroid Microcarcinoma",

abstract = "The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P, 0.05).",

keywords = "Gene expression profile, Microarray analysis, Papillary thyroid microcarcinoma",

author = "Kim, {Woo Young} and Lee, {Jae Bok} and Jung, {Seung Pil} and Kim, {Hoon Yub} and Woo, {Sang Uk} and Son, {Gil Soo} and Bae, {Jeoung Won}",

note = "Funding Information: The authors report no declarations of interest. This study was sponsored by Korea University Grants.",

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doi = "10.9738/INTSURG-D-17-00049.1",

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AU - Kim, Woo Young

AU - Lee, Jae Bok

AU - Jung, Seung Pil

AU - Kim, Hoon Yub

AU - Woo, Sang Uk

AU - Son, Gil Soo

AU - Bae, Jeoung Won

N1 - Funding Information: The authors report no declarations of interest. This study was sponsored by Korea University Grants.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P, 0.05).

AB - The objective was to identify gene expression profile of papillary thyroid microcarcinoma. To help improve diagnosis of papillary thyroid microcarcinoma, we performed gene expression profiling and compared it to pair normal thyroid tissues. We performed microarray analysis with 6 papillary thyroid microcarcinoma and 6 pair normal thyroid tissues. Differentially expressed genes were selected using paired t test, linear models for microarray data, and significance analysis of microarrays. Real-time quantitative reverse transcription–polymerase chain reaction was used to validate the representative 10 genes (MET, TIMP1, QPCT, PROS1, LRP4, SDC4, CITED1, DPP4, LRRK2, RUNX2). We identified 91 differentially expressed genes (84 upregulated and 7 downregulated) in the gene expression profile and validated 10 genes of the profile. We identified a significant genetic difference between papillary thyroid microcarcinoma and normal tissue by 10 upregulated genes greater than 2-fold (P, 0.05).

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JO - International Surgery

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Gene Expression Profiles of Papillary Thyroid Microcarcinoma

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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