Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication

Stefano Christian Londero, Marie Louise Jespersen, Annelise Krogdahl, Lars Bastholt, Jens Overgaard, Sten Schytte, Christian Godballe, Jan Alsner, The Danish Thyroid Cancer Group – DATHYRCA

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

BACKGROUND: No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential.

MATERIALS AND METHODS: Genome-wide expression analyses were used. Development cohort: freshly frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort: formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients.

RESULTS: A 17-gene classifier was identified based on the expression values in patients with and without metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5% and specificity 61.6%. Log-rank testing failed to identify any significance (p=0.32) regarding the classifier's usefulness as a prognostic marker for recurrence.

CONCLUSION: A 17-gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, no prognostic significance of this classifier was shown.

OriginalsprogEngelsk
TidsskriftAnticancer Research
Vol/bind36
Udgave nummer2
Sider (fra-til)749-756
ISSN0250-7005
StatusUdgivet - 2016

Fingeraftryk

Paraffin
Formaldehyde

Citer dette

Londero, S. C., Jespersen, M. L., Krogdahl, A., Bastholt, L., Overgaard, J., Schytte, S., ... The Danish Thyroid Cancer Group – DATHYRCA (2016). Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication. Anticancer Research, 36(2), 749-756.
Londero, Stefano Christian ; Jespersen, Marie Louise ; Krogdahl, Annelise ; Bastholt, Lars ; Overgaard, Jens ; Schytte, Sten ; Godballe, Christian ; Alsner, Jan ; The Danish Thyroid Cancer Group – DATHYRCA. / Gene-expression Classifier in Papillary Thyroid Carcinoma : Validation and Application of a Classifier for Prognostication. I: Anticancer Research. 2016 ; Bind 36, Nr. 2. s. 749-756.
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title = "Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication",
abstract = "BACKGROUND: No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential.MATERIALS AND METHODS: Genome-wide expression analyses were used. Development cohort: freshly frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort: formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients.RESULTS: A 17-gene classifier was identified based on the expression values in patients with and without metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5{\%} and specificity 61.6{\%}. Log-rank testing failed to identify any significance (p=0.32) regarding the classifier's usefulness as a prognostic marker for recurrence.CONCLUSION: A 17-gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, no prognostic significance of this classifier was shown.",
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author = "Londero, {Stefano Christian} and Jespersen, {Marie Louise} and Annelise Krogdahl and Lars Bastholt and Jens Overgaard and Sten Schytte and Christian Godballe and Jan Alsner and {The Danish Thyroid Cancer Group – DATHYRCA}",
note = "Copyright{\circledC} 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.",
year = "2016",
language = "English",
volume = "36",
pages = "749--756",
journal = "Anticancer Research",
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Londero, SC, Jespersen, ML, Krogdahl, A, Bastholt, L, Overgaard, J, Schytte, S, Godballe, C, Alsner, J & The Danish Thyroid Cancer Group – DATHYRCA 2016, 'Gene-expression Classifier in Papillary Thyroid Carcinoma: Validation and Application of a Classifier for Prognostication', Anticancer Research, bind 36, nr. 2, s. 749-756.

Gene-expression Classifier in Papillary Thyroid Carcinoma : Validation and Application of a Classifier for Prognostication. / Londero, Stefano Christian; Jespersen, Marie Louise; Krogdahl, Annelise; Bastholt, Lars; Overgaard, Jens; Schytte, Sten; Godballe, Christian; Alsner, Jan; The Danish Thyroid Cancer Group – DATHYRCA.

I: Anticancer Research, Bind 36, Nr. 2, 2016, s. 749-756.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Gene-expression Classifier in Papillary Thyroid Carcinoma

T2 - Validation and Application of a Classifier for Prognostication

AU - Londero, Stefano Christian

AU - Jespersen, Marie Louise

AU - Krogdahl, Annelise

AU - Bastholt, Lars

AU - Overgaard, Jens

AU - Schytte, Sten

AU - Godballe, Christian

AU - Alsner, Jan

AU - The Danish Thyroid Cancer Group – DATHYRCA

N1 - Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

PY - 2016

Y1 - 2016

N2 - BACKGROUND: No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential.MATERIALS AND METHODS: Genome-wide expression analyses were used. Development cohort: freshly frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort: formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients.RESULTS: A 17-gene classifier was identified based on the expression values in patients with and without metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5% and specificity 61.6%. Log-rank testing failed to identify any significance (p=0.32) regarding the classifier's usefulness as a prognostic marker for recurrence.CONCLUSION: A 17-gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, no prognostic significance of this classifier was shown.

AB - BACKGROUND: No reliable biomarker for metastatic potential in the risk stratification of papillary thyroid carcinoma exists. We aimed to develop a gene-expression classifier for metastatic potential.MATERIALS AND METHODS: Genome-wide expression analyses were used. Development cohort: freshly frozen tissue from 38 patients was collected between the years 1986 and 2009. Validation cohort: formalin-fixed paraffin-embedded tissues were collected from 183 consecutively treated patients.RESULTS: A 17-gene classifier was identified based on the expression values in patients with and without metastasis in the development cohort. The 17-gene classifier for regional/distant metastasis identified was tested against the clinical status in the validation cohort. Sensitivity for detection of metastases was 51.5% and specificity 61.6%. Log-rank testing failed to identify any significance (p=0.32) regarding the classifier's usefulness as a prognostic marker for recurrence.CONCLUSION: A 17-gene classifier for metastatic potential was developed, and the results showed a clear biological difference between groups. However, through validation, no prognostic significance of this classifier was shown.

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

M3 - Journal article

C2 - 26851034

VL - 36

SP - 749

EP - 756

JO - Anticancer Research

JF - Anticancer Research

SN - 0250-7005

IS - 2

ER -