The results obtained with ITS sequences and OPTSIL analysis favour a much broader species concept for the genus, as the key yielding the lowest number of species also resulted in the highest agreement between molecular data and classification.
This observation is in agreement with recent classifications based on molecular data, supporting the classification of subfamilies Pitheciinae and Atelinae as sister groups included in the family Atelidae [ 8, 12].
To obtain a direct comparison between molecular data and pathological classification we developed a "sandwich" method (see Figure 1 and Methods: Prostate Tissue Specimens Collection and Handling).
Molecular data upholds the classification of the Thoracostmopsidae, Enoplidae, and Phanodermatidae defined by Lorenzen [ 18].
Only molecular data were used for classification of specimens.
It needs to be considered that owing to the lack of molecular data for histological analysis, tumour classification was based on the WHO classification from 2007 instead of the new one from 2016, which includes molecular parameters [18, 29].
These strategies could lead in the direction of precision medicine and there is hope of integrating translational molecular data to improve cancer classifications.
Furthermore, molecular data were used for sub-classification of tissue specimens with regard to Gleason score, age and total serum PSA of the patient at RP.
This classification is supported by molecular data (Guo and Ge 2005).
Most discrepancies between morphological and molecular data could be resolved by adopting a classification modified from Montecchi & Sarasini [16] by incorporating some of Soehner's [26] views.
