Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum

Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the ser...
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Autor*in:	Blendi Ura [verfasserIn] Stefania Biffi [verfasserIn] Lorenzo Monasta [verfasserIn] Giorgio Arrigoni [verfasserIn] Ilaria Battisti [verfasserIn] Giovanni Di Lorenzo [verfasserIn] Federico Romano [verfasserIn] Michelangelo Aloisio [verfasserIn] Fulvio Celsi [verfasserIn] Riccardo Addobbati [verfasserIn] Francesco Valle [verfasserIn] Enrico Rampazzo [verfasserIn] Marco Brucale [verfasserIn] Andrea Ridolfi [verfasserIn] Danilo Licastro [verfasserIn] Giuseppe Ricci [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	endometrial cancer serum proteome biomarkers exosomes 2D-DIGE

Übergeordnetes Werk:	In: Cancers - MDPI AG, 2010, 13(2021), 14, p 3639
Übergeordnetes Werk:	volume:13 ; year:2021 ; number:14, p 3639

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/cancers13143639

Katalog-ID:	DOAJ002503557

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520			\|a Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
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allfieldsSound	10.3390/cancers13143639 doi (DE-627)DOAJ002503557 (DE-599)DOAJ711389b4ec404317b703489afd944dcb DE-627 ger DE-627 rakwb eng RC254-282 Blendi Ura verfasserin aut Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage. endometrial cancer serum proteome biomarkers exosomes 2D-DIGE Neoplasms. Tumors. Oncology. Including cancer and carcinogens Stefania Biffi verfasserin aut Lorenzo Monasta verfasserin aut Giorgio Arrigoni verfasserin aut Ilaria Battisti verfasserin aut Giovanni Di Lorenzo verfasserin aut Federico Romano verfasserin aut Michelangelo Aloisio verfasserin aut Fulvio Celsi verfasserin aut Riccardo Addobbati verfasserin aut Francesco Valle verfasserin aut Enrico Rampazzo verfasserin aut Marco Brucale verfasserin aut Andrea Ridolfi verfasserin aut Danilo Licastro verfasserin aut Giuseppe Ricci verfasserin aut In Cancers MDPI AG, 2010 13(2021), 14, p 3639 (DE-627)614095670 (DE-600)2527080-1 20726694 nnns volume:13 year:2021 number:14, p 3639 https://doi.org/10.3390/cancers13143639 kostenfrei https://doaj.org/article/711389b4ec404317b703489afd944dcb kostenfrei https://www.mdpi.com/2072-6694/13/14/3639 kostenfrei https://doaj.org/toc/2072-6694 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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 13 2021 14, p 3639
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callnumber-first	R - Medicine
author	Blendi Ura
spellingShingle	Blendi Ura misc RC254-282 misc endometrial cancer misc serum proteome misc biomarkers misc exosomes misc 2D-DIGE misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
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topic_title	RC254-282 Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum endometrial cancer serum proteome biomarkers exosomes 2D-DIGE
topic	misc RC254-282 misc endometrial cancer misc serum proteome misc biomarkers misc exosomes misc 2D-DIGE misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
topic_unstemmed	misc RC254-282 misc endometrial cancer misc serum proteome misc biomarkers misc exosomes misc 2D-DIGE misc Neoplasms. Tumors. Oncology. Including cancer and carcinogens
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title	Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
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title_full	Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
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author_browse	Blendi Ura Stefania Biffi Lorenzo Monasta Giorgio Arrigoni Ilaria Battisti Giovanni Di Lorenzo Federico Romano Michelangelo Aloisio Fulvio Celsi Riccardo Addobbati Francesco Valle Enrico Rampazzo Marco Brucale Andrea Ridolfi Danilo Licastro Giuseppe Ricci
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title_sort	two dimensional-difference in gel electrophoresis (2d-dige) proteomic approach for the identification of biomarkers in endometrial cancer serum
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title_auth	Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
abstract	Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
abstractGer	Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
abstract_unstemmed	Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. After a validation phase, our findings support the potential of using the proposed algorithm as a diagnostic tool in the clinical stage.
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title_short	Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum
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Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled with Mass Spectrometry (MS) procedures to investigate the serum proteome of 15 patients with endometrial cancer and 15 non-cancer subjects. We have identified 16 proteins with diagnostic potential, considering only spots with a fold change in %V ≥ 1.5 or ≤0.6 in intensity, which were statistically significant (<i<p</i< < 0.05). Western blotting data analysis confirmed the upregulation of CLU, ITIH4, SERPINC1, and C1RL in endometrial and exosome cancer sera compared to those of control subjects. The application of the logistic regression constructed based on the abundance of these four proteins separated the controls from the cancers with excellent levels of sensitivity and specificity. 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Two Dimensional-Difference in Gel Electrophoresis (2D-DIGE) Proteomic Approach for the Identification of Biomarkers in Endometrial Cancer Serum

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