Pilot study using SELDI-TOF-MS proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases

M. Suriano; Y. Lin; B. T. Ashok; S. D. Schaefer; S. P. Schantz; J. Geliebter; R. K. Tiwari

doi:10.1021/pr050349r

Pilot study using SELDI-TOF-MS proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases

M. Suriano
, Y. Lin
, B. T. Ashok
, S. D. Schaefer
, S. P. Schantz
, J. Geliebter
, R. K. Tiwari

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

21 Scopus citations

Abstract

Biomarkers for thyroid cancer (TCa) lack specificity. To develop TCa specific biomarkers, SELDI-TOF-MS was used to examine the proteomic profile of biopsies obtained from papillary TCa along with adjacent normal tissue. Sixty-three potential biomarkers were categorized by univariate analysis into single biomarker candidates and segregated by multivariate analysis into normal and cancerous groups. Our studies demonstrate the sensitivity and reproducibility of this approach to detect biomarkers for TCa.

Original language	English
Pages (from-to)	856-861
Number of pages	6
Journal	Journal of Proteome Research
Volume	5
Issue number	4
DOIs	https://doi.org/10.1021/pr050349r
State	Published - Apr 2006
Externally published	Yes

Keywords

Papillary carcinoma
SELDI
Thyroid cancer

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10.1021/pr050349r

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title = "Pilot study using SELDI-TOF-MS proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases",

abstract = "Biomarkers for thyroid cancer (TCa) lack specificity. To develop TCa specific biomarkers, SELDI-TOF-MS was used to examine the proteomic profile of biopsies obtained from papillary TCa along with adjacent normal tissue. Sixty-three potential biomarkers were categorized by univariate analysis into single biomarker candidates and segregated by multivariate analysis into normal and cancerous groups. Our studies demonstrate the sensitivity and reproducibility of this approach to detect biomarkers for TCa.",

keywords = "Papillary carcinoma, SELDI, Thyroid cancer",

author = "M. Suriano and Y. Lin and Ashok, \{B. T.\} and Schaefer, \{S. D.\} and Schantz, \{S. P.\} and J. Geliebter and Tiwari, \{R. K.\}",

year = "2006",

month = apr,

doi = "10.1021/pr050349r",

language = "English",

volume = "5",

pages = "856--861",

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publisher = "American Chemical Society",

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T1 - Pilot study using SELDI-TOF-MS proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases

AU - Suriano, M.

AU - Lin, Y.

AU - Ashok, B. T.

AU - Schaefer, S. D.

AU - Schantz, S. P.

AU - Geliebter, J.

AU - Tiwari, R. K.

PY - 2006/4

Y1 - 2006/4

N2 - Biomarkers for thyroid cancer (TCa) lack specificity. To develop TCa specific biomarkers, SELDI-TOF-MS was used to examine the proteomic profile of biopsies obtained from papillary TCa along with adjacent normal tissue. Sixty-three potential biomarkers were categorized by univariate analysis into single biomarker candidates and segregated by multivariate analysis into normal and cancerous groups. Our studies demonstrate the sensitivity and reproducibility of this approach to detect biomarkers for TCa.

AB - Biomarkers for thyroid cancer (TCa) lack specificity. To develop TCa specific biomarkers, SELDI-TOF-MS was used to examine the proteomic profile of biopsies obtained from papillary TCa along with adjacent normal tissue. Sixty-three potential biomarkers were categorized by univariate analysis into single biomarker candidates and segregated by multivariate analysis into normal and cancerous groups. Our studies demonstrate the sensitivity and reproducibility of this approach to detect biomarkers for TCa.

KW - Papillary carcinoma

KW - SELDI

KW - Thyroid cancer

UR - https://www.scopus.com/pages/publications/33645759443

U2 - 10.1021/pr050349r

DO - 10.1021/pr050349r

M3 - Article

C2 - 16602693

AN - SCOPUS:33645759443

SN - 1535-3893

VL - 5

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EP - 861

JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 4

ER -

Pilot study using SELDI-TOF-MS proteomic profile for the identification of diagnostic biomarkers of thyroid proliferative diseases

Abstract

Keywords

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