Incidence of lung cancer in males and females in Algeria: The lung cancer registry in Algeria (LuCaReAl).

BACKGROUND: Lung cancer is a major cause of death worldwide. However, few data on incidence, histologic types and mortality rates of lung cancer were available for Algeria. METHODS: LuCaReAl is an ongoing descriptive, non-interventional, national, multicenter, prospective and longitudinal study conducted in Algeria, among oncologists and pulmonologists in public community and university hospitals. Median and interquartile ranges are displayed. RESULTS: Between July 2016 and July 2017, 897 patients were included. Overall incidence of lung cancer was 3.4 [3.2;3.6] cases per 100,000 inhabitants; overall incidence by sex was 5.8 [5.4;6.2] for males and 1.0 [0.8;1.1] for females. Adenocarcinoma was the most common histologic type of cancer. Most tumors were diagnosed at Stage IV. CONCLUSION: The first results from the LuCaReAl study in Algeria showed that most patients are diagnosed with lung cancer at an advanced stage. The ongoing follow-up will next provide data on the survival and mortality rates.

[In silico study of a functional mutation associated with non-small cell lung cancer: G12D mutation of exon 2 in KRAS gene]. / Étude in silico d'une mutation : application à la mutation fonctionnelle G12D du gène KRAS, retrouvée dans les cancers bronchiques non à petites cellules.

Biology flourished during the XXth century and was profoundly disrupted during the last decade because of the transition to the post-genomic era, the spread of high-throughput biology, and the advent of a relatively new discipline, namely bioinformatics. This latter, which encompasses the collection, organization and analysis of biological data using the computer tool, has quickly become inseparable from the studies related to the genome understanding. The consequences of the different mutations that may affect our genes are responsible for a change in the protein sequence and are likely to affect, for example, the stability of the protein, its intracellular targeting, its maturation, its assembly in a multimeric structure, the essential sites for its enzymatic activity or for the interaction with ligands. Thus, a number of bioinformatic developments have made it possible to set up in silico prediction tools of the structure of a protein that is aiming at predicting the impact of local mutations on the structure of proteins. Throughout our study, we have been interested in exploring, through in silico bioinformatic study, three analytical, prediction and modeling, software, choosing as exemple the G12D mutation that affects the proto-oncogene KRAS found in numerous algerian patients with bronchopulmonary cancers cells (NSCLC). This study allowed us to integrate these bioinformatic tools into our laboratory of developmental biology and LBDD differentiation at the University of Oran 1 Ahmed Benbella, in Algeria. Thus, we have been able to conclude, even if the found mutation is predicted to be tolerated and has no deleterious effect on the entire Ras protein, that the consequence of this missense mutation depends mainly on the position in the protein and the chemical properties of the amino acid involved in the substitution and which shows a strong affinity with the GTP molecule.