Executive Summary of the Consensus Statement of the Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), the Spanish Society of Tropical Medicine and International Health (SEMTSI), the Spanish Association of Surgeons (AEC), the Spanish Society of Pneumology and Thoracic Surgery (SEPAR), the Spanish Society of Thoracic Surgery (SECT), the Spanish Society of Vascular and Interventional Radiology (SERVEI), and the Spanish Society of Paediatric Infectious Diseases (SEIP), on the Management of Cystic Echinococcosis.

The Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), the Spanish Society of Tropical Medicine and International Health (SEMTSI), the Spanish Association of Surgeons (AEC), the Spanish Society of Pneumology and Thoracic Surgery (SEPAR), the Spanish Society of Thoracic Surgery (SECT), the Spanish Society of Vascular and Interventional Radiology (SERVEI), and the Spanish Society of Paediatric Infectious Diseases (SEIP) considered it pertinent to issue a consensus statement on the management of cystic echinococcosis (CE) to guide healthcare professionals in the care of patients with CE. Specialists from several fields (clinicians, surgeons, radiologists, microbiologists, and parasitologists) identified the most clinically relevant questions and developed this Consensus Statement, evaluating the available evidence-based data to propose a series of recommendations on the management of this disease. This Consensus Statement is accompanied by the corresponding references on which these recommendations are based.

Genomics and proteomics approaches for biomarker discovery in sporadic colorectal cancer with metastasis.

Sporadic colorectal cancer (sCRC) is one of the most frequent types of cancer in Europe. Despite understanding of its tumorigenesis, the metastatic process is not yet clear. In this article, we review the most significant genetic and proteomic advances that have been made in regards to research of the sCRC metastatic process, and the new biomarkers that are able to predict disease prognosis or response to treatments, in order to define personalized medicine.