Anatomical pathology is dead? Long live anatomical pathology

[Study of the evolution in the activity of a Department of Pathology from a third level hospital in the last decade (2007-2016)]

OBJECTIVE

To study the evolution of variables of interest in a department of pathology from a third level hospital during the last decade and to evaluate the impact on these of the hospital relocation in 2014.

MATERIAL AND METHOD

Retrospective observational study in which the recorded samples (biopsies, cytology specimens, FNA, autopsies, intraoperative) as well as the complementary techniques (IHC, Histochemistry, IF and FISH) and portfolio of services were analyzed during the years 2007-2016 inclusive. For the statistical analysis, the five-year periods 2007-2011 and 2012-2016 were compared.

RESULTS

The following variables were statistically significant: cytology (34055.8±1994.0 vs 26590.4±2938.3, p=0.002), autopsies (156.2±27.3 vs 122.0±14.78, p=0.039), immunohistochemistry (17855.4±3424.2 vs 28559.2±4734.7, p=0.003), histochemistry (11117.8±2300.9 vs 6225.0±1330.5, p=0.003) and immunofluorescence (610.2±185.3 vs. 1205.4±154.0, p=0.001). Statistical correlations of interest among variables have been identified. In 2014, it was observed that the variables of greater specific weight (biopsies, cytology, IHQ and histochemistry) in the work load of the Department showed an average decrease of 12.5%. A generalized increase in the panel of available samples has been identified, the largest increase being seen in the number of antibodies (78.7%), histochemistry (38.7%) and FISH (400%).

CONCLUSION

Relevant variations in work volume, as well as the service portfolio, have been identified, especially in the techniques aimed at improving diagnostic accuracy (IHQ and FI), and a significant decrease in the number of cytology specimens, autopsies and histochemistry. In the year 2014 a decrease of more than 12% in the main variables of the study was observed.

Breast cancer biomarkers: proteomic discovery and translation to clinically relevant assays

Although the molecular classification and prognostic assessment of breast tumors based on gene expression profiling is well established, a number of proteomic studies that propose potential breast cancer biomarkers has not yet led to any new diagnostic, prognostic or predictive test in wide clinical use. This review examines the current status of breast cancer biomarkers, discusses sample types (including plasma, tumor tissue, nipple aspirate and ductal lavage, as well as cell culture models) and different electrophoretic and mass spectrometry methods that have been widely used for the discovery of proteomic biomarkers in breast cancer, and also considers several approaches to biomarker validation. The pathway leading from the initial proteomic discovery and validation process to translation into a clinically useful test is also discussed.