Proteomic profiling of urine for the detection of colon cancer
<p>Abstract</p> <p>Background</p> <p>Colorectal cancer is the second most common cause of cancer related death in the developed world. To date, no blood or stool biomarkers with both high sensitivity and specificity for potentially curable early stage disease have been...
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2008-06-01
|
Series: | Proteome Science |
Online Access: | http://www.proteomesci.com/content/6/1/19 |
id |
doaj-96d401bce0f74cef91371160850f9f8a |
---|---|
record_format |
Article |
spelling |
doaj-96d401bce0f74cef91371160850f9f8a2020-11-24T20:53:40ZengBMCProteome Science1477-59562008-06-01611910.1186/1477-5956-6-19Proteomic profiling of urine for the detection of colon cancerWakelam Michael JOSteven NeilTselepis ChrisWei WenbinHamilton EmmaJoy HowardNyangoma StephenWard Douglas GJohnson Philip JIsmail TariqMartin Ashley<p>Abstract</p> <p>Background</p> <p>Colorectal cancer is the second most common cause of cancer related death in the developed world. To date, no blood or stool biomarkers with both high sensitivity and specificity for potentially curable early stage disease have been validated for clinical use. SELDI and MALDI profiling are being used increasingly to search for biomarkers in both blood and urine. Both techniques provide information predominantly on the low molecular weight proteome (<15 kDa). There have been several reports that colorectal cancer is associated with changes in the serum proteome that are detectable by SELDI and we hypothesised that proteomic changes would also be detectable in urine.</p> <p>Results</p> <p>We collected urine from 67 patients with colorectal cancer and 72 non-cancer control subjects, diluted to a constant protein concentration and generated MALDI and SELDI spectra. The intensities of 19 peaks differed significantly between cancer and non-cancer patients by both t-tests and after adjusting for confounders using multiple linear regressions. Logistic regression classifiers based on peak intensities identified colorectal cancer with up to 78% sensitivity at 87% specificity. We identified and independently quantified 3 of the discriminatory peaks using synthetic stable isotope peptides (an 1885 Da fragment of fibrinogen and hepcidin-20) or ELISA (β2-microglobulin).</p> <p>Conclusion</p> <p>Changes in the urine proteome may aid in the early detection of colorectal cancer.</p> http://www.proteomesci.com/content/6/1/19 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wakelam Michael JO Steven Neil Tselepis Chris Wei Wenbin Hamilton Emma Joy Howard Nyangoma Stephen Ward Douglas G Johnson Philip J Ismail Tariq Martin Ashley |
spellingShingle |
Wakelam Michael JO Steven Neil Tselepis Chris Wei Wenbin Hamilton Emma Joy Howard Nyangoma Stephen Ward Douglas G Johnson Philip J Ismail Tariq Martin Ashley Proteomic profiling of urine for the detection of colon cancer Proteome Science |
author_facet |
Wakelam Michael JO Steven Neil Tselepis Chris Wei Wenbin Hamilton Emma Joy Howard Nyangoma Stephen Ward Douglas G Johnson Philip J Ismail Tariq Martin Ashley |
author_sort |
Wakelam Michael JO |
title |
Proteomic profiling of urine for the detection of colon cancer |
title_short |
Proteomic profiling of urine for the detection of colon cancer |
title_full |
Proteomic profiling of urine for the detection of colon cancer |
title_fullStr |
Proteomic profiling of urine for the detection of colon cancer |
title_full_unstemmed |
Proteomic profiling of urine for the detection of colon cancer |
title_sort |
proteomic profiling of urine for the detection of colon cancer |
publisher |
BMC |
series |
Proteome Science |
issn |
1477-5956 |
publishDate |
2008-06-01 |
description |
<p>Abstract</p> <p>Background</p> <p>Colorectal cancer is the second most common cause of cancer related death in the developed world. To date, no blood or stool biomarkers with both high sensitivity and specificity for potentially curable early stage disease have been validated for clinical use. SELDI and MALDI profiling are being used increasingly to search for biomarkers in both blood and urine. Both techniques provide information predominantly on the low molecular weight proteome (<15 kDa). There have been several reports that colorectal cancer is associated with changes in the serum proteome that are detectable by SELDI and we hypothesised that proteomic changes would also be detectable in urine.</p> <p>Results</p> <p>We collected urine from 67 patients with colorectal cancer and 72 non-cancer control subjects, diluted to a constant protein concentration and generated MALDI and SELDI spectra. The intensities of 19 peaks differed significantly between cancer and non-cancer patients by both t-tests and after adjusting for confounders using multiple linear regressions. Logistic regression classifiers based on peak intensities identified colorectal cancer with up to 78% sensitivity at 87% specificity. We identified and independently quantified 3 of the discriminatory peaks using synthetic stable isotope peptides (an 1885 Da fragment of fibrinogen and hepcidin-20) or ELISA (β2-microglobulin).</p> <p>Conclusion</p> <p>Changes in the urine proteome may aid in the early detection of colorectal cancer.</p> |
url |
http://www.proteomesci.com/content/6/1/19 |
work_keys_str_mv |
AT wakelammichaeljo proteomicprofilingofurineforthedetectionofcoloncancer AT stevenneil proteomicprofilingofurineforthedetectionofcoloncancer AT tselepischris proteomicprofilingofurineforthedetectionofcoloncancer AT weiwenbin proteomicprofilingofurineforthedetectionofcoloncancer AT hamiltonemma proteomicprofilingofurineforthedetectionofcoloncancer AT joyhoward proteomicprofilingofurineforthedetectionofcoloncancer AT nyangomastephen proteomicprofilingofurineforthedetectionofcoloncancer AT warddouglasg proteomicprofilingofurineforthedetectionofcoloncancer AT johnsonphilipj proteomicprofilingofurineforthedetectionofcoloncancer AT ismailtariq proteomicprofilingofurineforthedetectionofcoloncancer AT martinashley proteomicprofilingofurineforthedetectionofcoloncancer |
_version_ |
1716796627080970240 |