New time-dependent approach to analyse the prognostic significance of immunohistochemical biomarkers in colon cancer and diffuse large B-cell lymphoma. Issue 11 (31st October 2008)

• Record Type: Journal Article
• Authors: Adams, H; Tzankov, A; Lugli, A; Zlobec, I
• Is Part Of: Journal of clinical pathology. Volume 62:Issue 11(2009)
• Page Start: 986
• Page End: 997
• Publication Date: 2008-10-31
• Subjects: Pathology -- Periodicals; Pathology, Molecular -- Periodicals; 616.0705
• DOI: 10.1136/jcp.2008.059063
• Languages: English
• ISSNs: 0021-9746

Abstract

Abstract : Aims: Receiver operating characteristic (ROC) curve analysis is a well-established method to study the accuracies of biological markers. It may, however, be suboptimal for analysing outcomes over time, such as prognosis. Here, the clinical value of time-dependent ROC curve analysis for improving the identification of high-risk patients with colon cancers and diffuse large B-cell lymphomas (DLBCL) is explored. Methods: Using tissue microarrays, immunohistochemistry was performed on two matched sets (N = 469, each) of colon cancers (p53, CD8 + tumour infiltrating lymphocytes (TILs), mammalian sterile-like 20 kinase 1 (MST1), mucin 2 (MUC2) and urokinase plasminogen activator receptor (uPAR)) and on 208 DLBCL (Bcl2, Bcl6, CD10, FOXP1 and Ki67). The area-under-the-curve (AUC)-over-time plots, cut-off scores for tumour marker positivity and Kaplan–Meier survival curves were analysed. Results: With the exception of uPAR, all markers were most accurate within the first 18 months following diagnosis. Expression of p53 (AUC = 0.75), uPAR (AUC = 0.64), Bcl2 (AUC = 0.58) and FOXp1 (AUC = 0.68) was linked to more aggressive tumours, while TILs (AUC = 0.38), MST1 (AUC = 0.39), MUC2 (AUC = 0.38), Bcl6 (AUC = 0.4), CD10 (AUC = 0.49) and Ki67 (AUC = 0.41) were predictive of improved survival. Cut-off scores for markers at their peak accuracies as well as survival time differences were reproducible between colon cancer groups. Only FOXp1 at its optimal cut-off of 60% had significant effects on survival in DLBCL (p = 0.019). Conclusions: Time-dependent ROC curve analysis is a novel tool for identifying potential immunohistochemical prognostic markers across varying follow-up times. Use of this tool could facilitate the identification of high-risk patients not only with colon cancer and DLBCL but with a range of other tumour types.