Prognostic parameters for the management of advanced testis tumours.

Abstract

The need for prognostic parameters in testicular germ cell tumours is sometimes questioned based on an overall cure rate of more than 80% of the patients regardless of tumour stage. However, the trend for an earlier and more accurate diagnosis amenable to curative treatment as well as the high effectiveness of standard Cisplatinum containing chemotherapy has masked the continuing need for intensifying therapy in patients with adverse risk factors. This intense treatment is often associated with worrysome morbidity and the assessment of prognostic factors, stage by stage, is warranted on which patient at risk can be identified and treated accordingly. Traditional prognostic factors, on which most classification systems are based, include large tumour volume, the presence of liver, bone or brain metastasis, grossly elevated tumour markers and an extragonadal primary site, particularly in the mediastinum. Novel prognostic factors are either (1) independent from the patient and his disease, (2) inherent on the patient's characteristics or (3) based on tumour biology. Clearly, the infrastructure and the experience of the treating uro-oncology unit (see 1) is decisive for treatment outcomes, and -at least-'difficult to treat' patients should be referred to properly resourced cancer centres. Patients with higher socio-economic status, willing to travel and well educated enough to be worried about their diseases status apparently gain access to expert centres more easily (see 2), translating into an upgrade on prognosis. Finally, biologic factors (see 3) such as beta-human chorionic gonadotrophin or MAGE epitopes in seminoma or the percentage of embryonal carcinoma components orvascular invasion mayor may not inversely influence the prognosis and need further assessment in prospective trials. However, the search for even better (molecular) biologic factors is speeding up because more complex treatment decisions such as in advanced testicular cancers rely on a more precise determination of prognosis, enabling a more tailored selection of individualized therapeutic options.