Heterogeneous Expression of Embryonal Development Master Regulator SOX9 in Patients with Pancreatic Cancer

The expression levels of the SOX9 gene in fetal, postnatal, and neoplastic pancreatic tissues were compared. In the fetal pancreatic samples, the mean relative level of the SOX9 gene expression was 8 times greater than the normal level. The tumor samples were divided into three groups depending on the SOX9 expression level. The first group showed a 6.5-fold increased expression level of SOX9 with respect to the normal one. The second and normal groups had approximately equal levels expression. The third group showed a 25-fold decreased expression level of SOX9. The discrepancy in the SOX9 expression, associated with the predominance of different functions of this master gene, depends on the poorly predictable individual factors and indicates that SOX9 should be excluded from the potential diagnostic biomarkers of pancreatic cancer.

Rethinking Causation in Cancer with Evolutionary Developmental Biology

Despite the productivity of basic cancer research, cancer continues to be a health burden to society because this research has not yielded corresponding clinical applications. Many proposed solutions to this dilemma have revolved around implementing organizational and policy changes related to cancer research. Here I argue for a different solution: a new conceptualization of causation in cancer. Neither the standard molecular biomarker approaches nor evolutionary biology approaches to cancer fully capture its complex causal dynamics, even when considered jointly. These approaches map on to Ernst Mayr's proximate-ultimate distinction, which is an inadequate conceptualization of causation in biological systems and makes it difficult to connect developmental and evolutionary viewpoints. I propose looking to evolutionary developmental biology (EvoDevo) to overcome the distinction and integrate the proximate and ultimate causal frameworks. I use the concepts of modularity and evolvability to show how an EvoDevo perspective can be manifested in cancer translational research. This perspective on causation in cancer is better suited for integrating the complexity of current empirical results and can facilitate novel developments in the investigation and clinical treatment of cancer.