The image represents obtaining data from the platforms used. / UGR
A new advanced computer system unifies the information of the possible biomarkers of pancreatic cancer, optimizing its detection. The main problem posed by this tumor is its late diagnosis, since in 80% of cases the disease is identified when patients are already in a very advanced or metastatic state.
A multidisciplinary team of scientists from the departments of Architecture and Computer Technology and Anatomy and Human Embryology at the University of Granada, in collaboration with the Digestive Tumors Treatment group, has developed a computer tool capable of improving the identification of markers to diagnose Pancreatic cancer This advance occurs thanks to the detection of genes differentially expressed in this disease.
Ignacio Rojas Ruiz, Octavio Caba Pérez and José Carlos Prados Salazar have led this project, whose results are echoed by PLOS ONE magazine. The work shows that the use of gene expression data obtained from different computer platforms (Affymetrix and Illumina), together with a meta-analysis based on a Bayesian method, achieves an integration of different results that improves the identification of specific genes identifying cancer of pancreas.
All the improvements directed to the detection of new biomarkers of this pathology are essential.
In summary, the computer system unifies the information of the possible biomarkers of pancreatic cancer, optimizing its detection so that the diagnosis occurs more effectively. The main problem posed by pancreatic cancer is its late diagnosis, since in 80% of cases the disease is identified when patients already have it in a very advanced or metastatic state.
“The absence of reliable markers for detection represents the main limitation when it comes to early treatment and, therefore, effective. That is why all the improvements aimed at detecting new biomarkers of this disease are essential if we want to achieve an early diagnosis that improves the prognosis of patients, “the researchers explain.
There are numerous previous studies that have allowed to determine new biomarkers, more specific and sensitive, for pancreatic cancer. According to the researchers, “the emergence of different methodologies and gene expression analysis platforms has led to the collection of very heterogeneous data sets. This, together with the different processes of sample preparation and labeling methods, can influence the result of gene expression, making it difficult to compare the results obtained and leading to a loss of essential information from the point of view of its application to the patient. “
The team of scientists of the University of Granada, thanks to the use of computer tools that unify the key information for the diagnosis of pancreatic cancer, has not only identified five biomarker genes of this disease, but also 28 new genes or genes’ gained ‘that are being analyzed at this time.
Antonio Irigoyen, Cristina Jimenez-Luna, Manuel Benavides, Octavio Caba, Javier Gallego, Francisco Manuel Ortuño, Carmen Guillen-Ponce, Ignacio Rojas, Enrique Aranda, Carolina Torres, Jose Prados. Integrative multi-platform meta-analysis of gene expression profiles in pancreatic ductal adenocarcinoma patients for identifying novel diagnostic biomarkers. Plos One, 2018, https://doi.org/10.1371/journal.pone.0194844
Source: Granada University and agenciasinc.es