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Multicenter Study
. 2021 May;39(5):301.e17-301.e28.
doi: 10.1016/j.urolonc.2021.01.021. Epub 2021 Feb 7.

Prognostic markers in pT3 bladder cancer: A study from the international bladder cancer tissue microarray project

Affiliations
Multicenter Study

Prognostic markers in pT3 bladder cancer: A study from the international bladder cancer tissue microarray project

Gang Wang et al. Urol Oncol. 2021 May.

Abstract

Purpose: We evaluated the prognostic value of 10 putative tumor markers by immunohistochemistry in a large multi-institutional cohort of patients with locally advanced urothelial cancer of the bladder (UCB) with the aim to validate their clinical value and to harmonize protocols for their evaluation.

Materials and methods: Primary tumor specimens from 576 patients with pathologic (p)T3 UCB were collected from 24 institutions in North America and Europe. Three replicate 0.6-mm core diameter samples were collected for the construction of a tissue microarray (TMA). Immunohistochemistry (IHC) for 10 previously described tumor markers was performed and scored at 3 laboratories independently according to a standardized protocol. Associations between marker positivity and freedom from recurrence (FFR) or overall survival (OS) were analyzed separately for each individual laboratory using Cox regression analysis.

Results: The overall agreement of the IHC scoring among laboratories was poor. Correlation among the 3 laboratories varied across the 10 markers. There was generally a lack of association between the individual markers and FFR or OS. The number of altered cell cycle regulators (p53, Rb, and p21) was associated with increased risk of cancer recurrence (P < 0.032). There was no clear pattern in the relationship between the percentage of markers altered in an 8-marker panel and FFR or OS.

Conclusions: This large international TMA of locally advanced (pT3) UCB suggests that altered expression of p53, Rb, and p21 is associated with worse outcome. However this study also highlights limitations in the reproducibility of IHC even in the most expert hands.

Keywords: Bladder cancer; Prognostic Markers; Tissue microarray.

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Figures

Figure 1:
Figure 1:
Hematoxylin & eosin-stained slide of the tissue microarray.
Figure 2:
Figure 2:. Freedom from recurrence (A) and overall survival (B) stratified by pathologic N-Stage.
Kaplan-Meier curve depicting freedom from recurrence (FFR) and overall survival (OS), by N-stage of the disease.
Figure 3:
Figure 3:. Patient outcome according to marker status.
Log of hazard ratios (HR) and 95% confidence intervals for patients scored as marker positive compared to those scored as marker negative. A HR of 0 on the log scale corresponds to a HR of 1, indicating a lack of association. If HR on the log scale is >0 (i.e., HR>1), it indicates that the marker positivity is associated with an unfavorable outcome.
Figure 3:
Figure 3:. Patient outcome according to marker status.
Log of hazard ratios (HR) and 95% confidence intervals for patients scored as marker positive compared to those scored as marker negative. A HR of 0 on the log scale corresponds to a HR of 1, indicating a lack of association. If HR on the log scale is >0 (i.e., HR>1), it indicates that the marker positivity is associated with an unfavorable outcome.
Figure 4:
Figure 4:. Consensus Analyses
-- Log of hazard ratios and 95% confidence intervals for patients scored as marker positive compared to those scored as marker negative.
Figure 5:
Figure 5:. Freedom from recurrence stratified by the number of altered markers in a panel of three cell cycle regulators (Rb, p21 and p53).
Kaplan-Meier curve depicting freedom from recurrence (FFR) by the number of altered markers (Rb, p21 and p53), in Lab A (A), Lab B (B), Lab C (C) and consensus analysis (D).
Figure 5:
Figure 5:. Freedom from recurrence stratified by the number of altered markers in a panel of three cell cycle regulators (Rb, p21 and p53).
Kaplan-Meier curve depicting freedom from recurrence (FFR) by the number of altered markers (Rb, p21 and p53), in Lab A (A), Lab B (B), Lab C (C) and consensus analysis (D).

Comment in

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