engleski

In search of IHC markers predicting urinary bladder cancer recurrence

Background & Objective: To recognize IHC markers able to predict recurrence of urinary bladder tumours. Method: Multivariate adaptive regression splines (MARS) was applied to IHC data evaluated independently by two pathologists. The MARS was used to predict the total number of recurrences by 9 IHC markers (EGFR, HER2, HER3, e-cadherin, Ki67, MLH1, MSH2, MSH6 and PMS2), among 33 patient (24 male and 9 female), aged 57-87 years, with primary urinary bladder cancer and one to six recurrences (a total of 113 tumour samples). Data were divided as initial tumours, the first and later recurrences, and as tumours that will relapse in 9 or >9 months. All markers were semiquantitatively classified in four groups. Results: In predicting the total number of recurrences, the R2 value for all tumours was 0.423, for initial tumours 0.686, for the first recurrence 0.700, for later recurrences only 0.233. Key predictors for initial tumours were HER2 and MSH2, while for the first recurrence it was EGFR. For early recurrences, R2 was 0.474 with EGFR and HER3 as predictors, while for the late recurrences R2 was 0.640 due to EGFR and PMS2. The finding of E-cadherin was not found relevant by these MARS models. Conclusion: The MARS results have associated multiple IHC markers with the number of recurrences and with Ki67 values. It is important that differences in predictive markers were found between the initial tumours and the first recurrences and between early and late recurrences, thus suggesting that tumour biology is different among these subgroups, regarding the total number of recurrences and Ki67 values.

Multivariate adaptive regression splines ; urinary bladder cancer ; cancer recurrences

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