Cargando…

Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation

To reduce the ambiguity of contradictory observations in different studies regarding the expression level of Macrophage Inhibitory Cytokine-1 (MIC-1) in serum in prostate cancer (PC), benign prostatic hyperplasia (BPH) and healthy controls (HC), we designed this double-blind study. The study compris...

Descripción completa

Detalles Bibliográficos
Autores principales: Bansal, Navneeta, Kumar, Deepak, Gupta, Ashish, Chandra, Deepak, Sankhwar, Satya Narain, Mandhani, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715056/
https://www.ncbi.nlm.nih.gov/pubmed/29203798
http://dx.doi.org/10.1038/s41598-017-17207-2
_version_ 1783283682087272448
author Bansal, Navneeta
Kumar, Deepak
Gupta, Ashish
Chandra, Deepak
Sankhwar, Satya Narain
Mandhani, Anil
author_facet Bansal, Navneeta
Kumar, Deepak
Gupta, Ashish
Chandra, Deepak
Sankhwar, Satya Narain
Mandhani, Anil
author_sort Bansal, Navneeta
collection PubMed
description To reduce the ambiguity of contradictory observations in different studies regarding the expression level of Macrophage Inhibitory Cytokine-1 (MIC-1) in serum in prostate cancer (PC), benign prostatic hyperplasia (BPH) and healthy controls (HC), we designed this double-blind study. The study comprises 240 sera from PC, BPH and HC subjects. The expression level of MIC-1 in PC, BPH and HC were appraised using Western blot (WB) and ELISA based approach. WB and ELISA appraisal reveals that the expression level of MIC-1 is significantly higher in PC than in HC or BPH subjects. Regression analysis revealed a significant correlation between MIC-1 vs. PSA (r = 0.09; p < 0.001) and MIC-1 vs. GS (r = 0.7; p < 0.001). ROC analysis using discriminant predicted probability revealed that the MIC-1 was better than PSA. Moreover, the combination of MIC-1 and PSA was allowing 99.1% AUC for the differentiation of BPH + PC from HC, 97.9% AUC for differentiation of BPH from HC, 98.6% AUC for differentiation of PC from HC, and 96.7% AUC for the differentiation of PC from BPH. The augmented expression of MIC-1 in PC compared to BPH and HC subjects is in concurrent of the over-expression of MIC-1 in PC reports and confiscates the contradictory findings of other studies.
format Online
Article
Text
id pubmed-5715056
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-57150562017-12-08 Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation Bansal, Navneeta Kumar, Deepak Gupta, Ashish Chandra, Deepak Sankhwar, Satya Narain Mandhani, Anil Sci Rep Article To reduce the ambiguity of contradictory observations in different studies regarding the expression level of Macrophage Inhibitory Cytokine-1 (MIC-1) in serum in prostate cancer (PC), benign prostatic hyperplasia (BPH) and healthy controls (HC), we designed this double-blind study. The study comprises 240 sera from PC, BPH and HC subjects. The expression level of MIC-1 in PC, BPH and HC were appraised using Western blot (WB) and ELISA based approach. WB and ELISA appraisal reveals that the expression level of MIC-1 is significantly higher in PC than in HC or BPH subjects. Regression analysis revealed a significant correlation between MIC-1 vs. PSA (r = 0.09; p < 0.001) and MIC-1 vs. GS (r = 0.7; p < 0.001). ROC analysis using discriminant predicted probability revealed that the MIC-1 was better than PSA. Moreover, the combination of MIC-1 and PSA was allowing 99.1% AUC for the differentiation of BPH + PC from HC, 97.9% AUC for differentiation of BPH from HC, 98.6% AUC for differentiation of PC from HC, and 96.7% AUC for the differentiation of PC from BPH. The augmented expression of MIC-1 in PC compared to BPH and HC subjects is in concurrent of the over-expression of MIC-1 in PC reports and confiscates the contradictory findings of other studies. Nature Publishing Group UK 2017-12-04 /pmc/articles/PMC5715056/ /pubmed/29203798 http://dx.doi.org/10.1038/s41598-017-17207-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Bansal, Navneeta
Kumar, Deepak
Gupta, Ashish
Chandra, Deepak
Sankhwar, Satya Narain
Mandhani, Anil
Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title_full Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title_fullStr Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title_full_unstemmed Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title_short Relevance of MIC-1 in the Era of PSA as a Serum Based Predictor of Prostate Cancer: A Critical Evaluation
title_sort relevance of mic-1 in the era of psa as a serum based predictor of prostate cancer: a critical evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5715056/
https://www.ncbi.nlm.nih.gov/pubmed/29203798
http://dx.doi.org/10.1038/s41598-017-17207-2
work_keys_str_mv AT bansalnavneeta relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation
AT kumardeepak relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation
AT guptaashish relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation
AT chandradeepak relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation
AT sankhwarsatyanarain relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation
AT mandhanianil relevanceofmic1intheeraofpsaasaserumbasedpredictorofprostatecanceracriticalevaluation