Type

Journal Article

Authors

Martin Clynes
Vincent Lynch
M John Kennedy
Kenneth J O'Byrne
Ingrid Kiernan
John Crown
Jo Ballot
Beatriz Torralbo-Lopez
Kim Hennessy
Colin Clarke
and 1 others

Subjects

Biochemistry

Topics
female serum amyloid a protein alpha 2 hs glycoprotein enzyme linked immunosorbent assay lung neoplasms logistic models metabolism male colorectal neoplasms tumor markers biological blood adult middle aged clu protein human breast neoplasms acute phase proteins humans ahsg protein human aged complement c3 clusterin aged 80 and over haptoglobins

Analysis of acute-phase proteins, AHSG, C3, CLI, HP and SAA, reveals distinctive expression patterns associated with breast, colorectal and lung cancer. (2011)

Abstract Early detection, clinical management and disease recurrence monitoring are critical areas in cancer treatment in which specific biomarker panels are likely to be very important in each of these key areas. We have previously demonstrated that levels of alpha-2-heremans-schmid-glycoprotein (AHSG), complement component C3 (C3), clusterin (CLI), haptoglobin (HP) and serum amyloid A (SAA) are significantly altered in serum from patients with squamous cell carcinoma of the lung. Here, we report the abundance levels for these proteins in serum samples from patients with advanced breast cancer, colorectal cancer (CRC) and lung cancer compared to healthy controls (age and gender matched) using commercially available enzyme-linked immunosorbent assay kits. Logistic regression (LR) models were fitted to the resulting data, and the classification ability of the proteins was evaluated using receiver-operating characteristic curve and leave-one-out cross-validation (LOOCV). The most accurate individual candidate biomarkers were C3 for breast cancer [area under the curve (AUC) = 0.89, LOOCV = 73%], CLI for CRC (AUC = 0.98, LOOCV = 90%), HP for small cell lung carcinoma (AUC = 0.97, LOOCV = 88%), C3 for lung adenocarcinoma (AUC = 0.94, LOOCV = 89%) and HP for squamous cell carcinoma of the lung (AUC = 0.94, LOOCV = 87%). The best dual combination of biomarkers using LR analysis were found to be AHSG + C3 (AUC = 0.91, LOOCV = 83%) for breast cancer, CLI + HP (AUC = 0.98, LOOCV = 92%) for CRC, C3 + SAA (AUC = 0.97, LOOCV = 91%) for small cell lung carcinoma and HP + SAA for both adenocarcinoma (AUC = 0.98, LOOCV = 96%) and squamous cell carcinoma of the lung (AUC = 0.98, LOOCV = 84%). The high AUC values reported here indicated that these candidate biomarkers have the potential to discriminate accurately between control and cancer groups both individually and in combination with other proteins.
Collections Ireland -> Dublin City University -> PubMed

Full list of authors on original publication

Martin Clynes, Vincent Lynch, M John Kennedy, Kenneth J O'Byrne, Ingrid Kiernan, John Crown, Jo Ballot, Beatriz Torralbo-Lopez, Kim Hennessy, Colin Clarke and 1 others

Experts in our system

1
Martin Clynes
Dublin City University
Total Publications: 209
 
2
Vincent Lynch
Dublin City University
Total Publications: 10
 
3
Michael Kennedy
Trinity College Dublin
Total Publications: 27
 
4
Kenneth J O'Byrne
Trinity College Dublin
Total Publications: 36
 
5
John Crown
Dublin City University
 
6
Colin Clarke
Dublin City University
Total Publications: 26