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Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer
BACKGROUND: Pancreatic cystic lesions (PCLs) are increasingly frequent radiological incidentalomas, with a considerable proportion representing precursors of pancreatic cancer. Better diagnostic tools are required for patients to benefit from this development. METHODS: To evaluate whether cyst fluid...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3952201/ https://www.ncbi.nlm.nih.gov/pubmed/24523528 http://dx.doi.org/10.1093/jnci/djt439 |
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author | Jabbar, Karolina S. Verbeke, Caroline Hyltander, Anders G. Sjövall, Henrik Hansson, Gunnar C. Sadik, Riadh |
author_facet | Jabbar, Karolina S. Verbeke, Caroline Hyltander, Anders G. Sjövall, Henrik Hansson, Gunnar C. Sadik, Riadh |
author_sort | Jabbar, Karolina S. |
collection | PubMed |
description | BACKGROUND: Pancreatic cystic lesions (PCLs) are increasingly frequent radiological incidentalomas, with a considerable proportion representing precursors of pancreatic cancer. Better diagnostic tools are required for patients to benefit from this development. METHODS: To evaluate whether cyst fluid mucin expression could predict malignant potential and/or transformation in PCLs, a proteomic method was devised and prospectively evaluated in consecutive patients referred to our tertiary center for endoscopic ultrasound-guided aspiration of cystic lesions from May 2007 through November 2008 (discovery cohort) and from December 2008 through October 2012 (validation cohort). Cytology and cyst fluid carcinoembryonic antigen (CEA; premalignancy > 192ng/mL, malignancy > 1000ng/mL) were routinely analyzed, and samples were further processed as follows: one-dimensional gel electrophoresis, excision of high-mass areas, tryptic digestion and nano-liquid chromatography–tandem mass spectrometry, with peptide identification by Mascot software and an in-house mucin database. All diagnostic evaluations were blinded to proteomics results. Histology was required to confirm the presence/absence of malignant transformation. All statistical tests were two-sided. RESULTS: Proteomic mucin profiling proved statistically significantly more accurate (97.5%; 95% confidence interval [CI] = 90.3% to 99.6%) than cytology (71.4%; 95% CI = 59.8% to 80.9%; P < .001) and cyst fluid CEA (78.0%; 95% CI = 65.0% to 87.3%; P < .001) in identifying the 37 (out of 79; 46.8%) lesions with malignant potential (ie, premalignant or malignant tumors). The accuracy of proteomics was nearly identical (96.6% vs 98.0%) between the discovery (n = 29) and validation (n = 50) cohorts. Furthermore, mucin profiling predicted malignant transformation, present in 16 out of 29 (discovery cohort: 9, validation cohort: 20) lesions with available histology, with 89.7% accuracy (95% CI = 71.5% to 97.3%) (for the validation cohort only: 95.0%; 95% CI = 73.1% to 99.7%). This markedly exceeded corresponding results for cytology (51.7%; 95% CI = 32.9% to 70.1%; P = .003) and CEA (57.1%; 95% CI = 34.4% to 77.4%; P = .02). CONCLUSIONS: Proteomic cyst fluid mucin profiling robustly discriminates benign, premalignant, and malignant PCLs. Consequently, it may improve pancreatic cancer prevention and reduce the morbidity burden of unwarranted pancreatic surgery. |
format | Online Article Text |
id | pubmed-3952201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39522012014-03-14 Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer Jabbar, Karolina S. Verbeke, Caroline Hyltander, Anders G. Sjövall, Henrik Hansson, Gunnar C. Sadik, Riadh J Natl Cancer Inst Article BACKGROUND: Pancreatic cystic lesions (PCLs) are increasingly frequent radiological incidentalomas, with a considerable proportion representing precursors of pancreatic cancer. Better diagnostic tools are required for patients to benefit from this development. METHODS: To evaluate whether cyst fluid mucin expression could predict malignant potential and/or transformation in PCLs, a proteomic method was devised and prospectively evaluated in consecutive patients referred to our tertiary center for endoscopic ultrasound-guided aspiration of cystic lesions from May 2007 through November 2008 (discovery cohort) and from December 2008 through October 2012 (validation cohort). Cytology and cyst fluid carcinoembryonic antigen (CEA; premalignancy > 192ng/mL, malignancy > 1000ng/mL) were routinely analyzed, and samples were further processed as follows: one-dimensional gel electrophoresis, excision of high-mass areas, tryptic digestion and nano-liquid chromatography–tandem mass spectrometry, with peptide identification by Mascot software and an in-house mucin database. All diagnostic evaluations were blinded to proteomics results. Histology was required to confirm the presence/absence of malignant transformation. All statistical tests were two-sided. RESULTS: Proteomic mucin profiling proved statistically significantly more accurate (97.5%; 95% confidence interval [CI] = 90.3% to 99.6%) than cytology (71.4%; 95% CI = 59.8% to 80.9%; P < .001) and cyst fluid CEA (78.0%; 95% CI = 65.0% to 87.3%; P < .001) in identifying the 37 (out of 79; 46.8%) lesions with malignant potential (ie, premalignant or malignant tumors). The accuracy of proteomics was nearly identical (96.6% vs 98.0%) between the discovery (n = 29) and validation (n = 50) cohorts. Furthermore, mucin profiling predicted malignant transformation, present in 16 out of 29 (discovery cohort: 9, validation cohort: 20) lesions with available histology, with 89.7% accuracy (95% CI = 71.5% to 97.3%) (for the validation cohort only: 95.0%; 95% CI = 73.1% to 99.7%). This markedly exceeded corresponding results for cytology (51.7%; 95% CI = 32.9% to 70.1%; P = .003) and CEA (57.1%; 95% CI = 34.4% to 77.4%; P = .02). CONCLUSIONS: Proteomic cyst fluid mucin profiling robustly discriminates benign, premalignant, and malignant PCLs. Consequently, it may improve pancreatic cancer prevention and reduce the morbidity burden of unwarranted pancreatic surgery. Oxford University Press 2014-02-11 /pmc/articles/PMC3952201/ /pubmed/24523528 http://dx.doi.org/10.1093/jnci/djt439 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc-nd/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Article Jabbar, Karolina S. Verbeke, Caroline Hyltander, Anders G. Sjövall, Henrik Hansson, Gunnar C. Sadik, Riadh Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title | Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title_full | Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title_fullStr | Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title_full_unstemmed | Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title_short | Proteomic Mucin Profiling for the Identification of Cystic Precursors of Pancreatic Cancer |
title_sort | proteomic mucin profiling for the identification of cystic precursors of pancreatic cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3952201/ https://www.ncbi.nlm.nih.gov/pubmed/24523528 http://dx.doi.org/10.1093/jnci/djt439 |
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