Non-small cell lung cancer: the prevalence of oncogenic driver mutations in Switzerland

Background. Predictive molecular marker analyses are standard of care in order to select non-small cell lung cancer (NSCLC) patients for targeted therapies. The aim of this study was to determine the prevalence of targetable oncogenic driver mutations including EGFR, KRAS, BRAF, HER2, ALK and ROS1 in Switzerland. Methods. Eight Swiss pathology institutions provided retrospective and anonymized data on their predictive molecular marker results performed on NSCLC from January 2012 to December 2014. Clinico-pathological data were recorded including age, gender, histological NSCLC-subtype and specimen type (biopsy, conventional cytology and cell block, respectively) used for molecular analyses. The prevalence of oncogenic mutations were calculated and compared between the centres. Results. A total of 4187 NSCLC were included into the study. The median age was 67 years and 55% were male patients. The tumor specimens for molecular analysis were mostly derived from biopsies (69%), 26% were from conventional cytology specimens and only in 5% from cell blocks. The most prevalent gene mutation was KRAS with 30.6% (range: 27.3-33.9%), followed by EGFR, BRAF and HER2 mutations in 12.2% (range: 10.2-13.1%), 3.9% (range: 2.5-5.6%) and 1.1% (range: 0.9-4.0%), respectively, without significant differences between the eight centers. Concomitant EGFR and KRAS mutations were detected in only 3/2027 NSCLC. In contrast the prevalence of ALK (mean 6.5%, range: 2.8-11.7%) and ROS1 (mean 2.4%, range: 1.5-6.2%) rearrangements varied significantly between centers. Conclusions. The Prevalence of EGFR, KRAS, BRAF and HER2 mutations are well in line with data from other West European populations. Concomitant EGFR, KRAS, BRAF or HER2 mutations are exceptional. ALK FISH results vary significantly between the eight centres. Concomitant ALK FISH positive results in NSCLC harbouring other oncogenic driver mutation have only been observed in two smaller centres, highlighting the difficulty in ALK-FISH interpretation.

Dispersal is a major driver of the latitudinal diversity gradient of Carnivora

AimUnderstanding the relative contribution of diversification rates (speciation and extinction) and dispersal in the formation of the latitudinal diversity gradient - the decrease in species richness with increasing latitude - is a main goal of biogeography. The mammalian order Carnivora, which comprises 286 species, displays the traditional latitudinal diversity gradient seen in almost all mammalian orders. Yet the processes driving high species richness in the tropics may be fundamentally different in this group from that in other mammalian groups. Indeed, a recent study suggested that in Carnivora, unlike in all other major mammalian orders, net diversification rates are not higher in the tropics than in temperate regions. Our goal was thus to understand the reasons why there are more species of Carnivora in the tropics. LocationWorld-wide. MethodsWe reconstructed the biogeographical history of Carnivora using a time-calibrated phylogeny of the clade comprising all terrestrial species and dispersal-extinction-cladogenesis models. We also analysed a fossil dataset of carnivoran genera to examine how the latitudinal distribution of Carnivora varied through time. ResultsOur biogeographical analyses suggest that Carnivora originated in the East Palaearctic (i.e. Central Asia, China) in the early Palaeogene. Multiple independent lineages dispersed to low latitudes following three main paths: toward Africa, toward India/Southeast Asia and toward South America via the Bering Strait. These dispersal events were probably associated with local extinctions at high latitudes. Fossil data corroborate a high-latitude origin of the group, followed by late dispersal events toward lower latitudes in the Neogene. Main conclusionsUnlike most other mammalian orders, which originated and diversified at low latitudes and dispersed out of the tropics', Carnivora originated at high latitudes, and subsequently dispersed southward. Our study provides an example of combining phylogenetic and fossil data to understand the generation and maintenance of global-scale geographical variations in species richness.