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Cholangiocarcinoma is the second most common liver cancer after hepatocellular carcinoma. In case of metastatic or unresectable disease, the recommended first-line treatment is gemcitabine-based doublet, most commonly gemcitabine and cisplatin. There is no standard treatment for further lines. MET fusions are rare alterations described in many cancers. The efficacy of specific MET inhibitors is poorly studied. We present the case of a patient with chemotherapy-refractory metastatic cholangiocarcinoma harboring a CAPZA-2-MET fusion along with MET amplification who dramatically responded to capmatinib, a specific MET tyrosine kinase inhibitor.

Background Somatic mutations in the KRAS gene are the most common oncogenic mutations found in human cancers. However, no clinical features have been linked to KRAS mutations in colorectal cancer [CRC]. Purpose In this study, we attempted to identify the potential geographical population clusters of KRAS mutations in CRC patients in northern France. Patients and methods All patients with CRC who were identified to have KRAS mutations between 2008 and 2014 at the Regional Molecular Biology Platform at Lille University Hospital were included. 2,486 patients underwent a KRAS status available, with 40.9% of CRC with KRAS mutations in northern France. We retrospectively collected demographic and geographic data from these patients. The proportions of KRAS mutation were smoothed to take into account the variability related to low frequencies and spatial autocorrelation. Geographical clusters were searched using spatial scan statistical models. Results A mutation at KRAS codon 12 or 13 was found in 1,018 patients [40.9%]. We report 5 clusters of over-incidence but only one elongated cluster that was statistically significant [Cluster 1; proportion of KRAS mutation among CRC: 0.4570; RR=1.29; P=0.0314]. We made an ecological study which did not highlight a significant association between KRAS mutations and the distance to the Closest Waste Incineration Plant, and between KRAS mutations and The French Ecological Deprivation Index but few socio-economic and environmental data were available. Conclusion There was a spatial heterogeneity and a greater frequency of KRAS mutations in some areas close to major highways and big cities in northern France. These data demand deeper epidemiological investigations to identify environmental factors such as air pollution as key factors in the occurrence of KRAS mutations.

e21014 Background: Although mutations in the kinase domain of MET are well described in papillary renal cell carcinoma, they are rare and poorly studied in lung cancer, but could constitute a new therapeutic target given the availability of potent MET inhibitors. The characteristics of patients with MET kinase mutation in lung cancer are still unknown. Our objective was to describe the demographic, clinical and biological characteristics of these patients, and analyze their survival. Methods: We conducted a multicenter retrospective study including patients with lung cancer harboring a MET kinase mutation. Patients who had already received treatment with a MET TKI before the MET kinase mutation was found were excluded. Results: We identified 37 patients with a MET kinase mutation. Among them, 2 had already received a MET inhibitor and in 8 cases, the data were not accessible. A total of 27 patients were included in the final analysis, including 17 males (63%) and only 2 (8%) never smokers. The median age was 64 (range 43-86). Most patients had adenocarcinoma (n = 25, 93%). 19 patients were diagnosed at an advanced stage. The main metastatic sites were brain (n = 8, 42%), bones (n = 7, 37%) and lungs (n = 5, 19%). PDL1 expression level was available for 21 patients, and was < 1%, 1-49% and ≥50% in 4 (19%), 5 (24%) and 12 (57%) patients respectively. MET kinase mutations involved exon 15, 16, 17, 18 or 19 in 6 (22%), 7 (26%), 7 (26%), 3 (11%) and 4 (15%) patients respectively. The 2 most common mutations were H1112Y (4 patients) and H1097R (3 patients). 18 patients (67%) had a concurrent alteration by NGS including TP53 mutations (n = 11, 41%), KRAS mutations (n = 6, 22%) and NRAS mutations (n = 3, 11%). Overall, co-alterations involving known driver oncogenes were detected in 13 patients (48%). 19 patients received a first-line systemic treatment for advanced disease. Median progression-free survival with chemotherapy and immunotherapy was 10.5 and 6.4 months, respectively (p = 0.55). Median overall survival was 12.2 months. No patient received a MET inhibitor. Conclusions: MET kinase mutations are not associated with specific clinical characteristics and frequently occur together with other oncogene mutations. These results suggest that these mutations may not be sufficient to drive carcinogenesis by themselves.

Contains fulltext : 171799.pdf (Publisher’s version ) (Closed access) Personalized medicine has gained increasing importance in clinical oncology, and several clinically important biomarkers are implemented in routine practice. In an effort to guarantee high quality of molecular testing in France, three subsequent external quality assessment rounds were organized at the initiative of the National Cancer Institute between 2012 and 2014. The schemes included clinically relevant biomarkers for metastatic colorectal (KRAS, NRAS, BRAF, PIK3CA, microsatellite instability) and non-small cell lung cancer (EGFR, KRAS, BRAF, PIK3CA, ERBB2), and they represent the first multigene/multicancer studies throughout Europe. In total, 56 laboratories coordinated by 28 regional molecular centers participated in the schemes. Laboratories received formalin-fixed, paraffin-embedded samples and were asked to use routine methods for molecular testing to predict patient response to targeted therapies. They were encouraged to return results within 14 calendar days after sample receipt. Both genotyping and reporting were evaluated separately. During the three external quality assessment rounds, mean genotype scores were all above the preset standard of 90% for all biomarkers. Participants were mainly challenged in case of rare insertions or deletions. Assessment of the written reports showed substantial progress between the external quality assessment schemes on multiple criteria. Several essential elements such as the clinical interpretation of test results and the reason for testing still require improvement by continued external quality assessment education.

Background. Repeated administration of low-molecular-weight heparin (LMWH) to elderly patients with an impaired renal function may lead to an accumulation effect with an increased risk of bleeding. In this setting, Cockcroft‐Gault (CG) is the most widely used formula for glomerular filtration rate (GFR) estimation. In hospitalized patients over the age of 70, the six-variable Modification of Diet in Renal Disease (MDRD) formula was compared with the CG formula to detect patients with renal impairment who are at higher risk of bleeding when treated with LMWH. Methods. We combined retrospective data from 366 patients aged 86.2 6 6.6 years, treated with LMWHs. CG and MDRD GFR estimates were compared using the Bland‐Altman method and the agreement between the two formulae by the j coefficient. Results. The mean CG and MDRD estimated GFR were 45.9 6 21.9 mL/min and 75.6 6 32.6 mL/min/1.73 m 2 , respectively, with a mean bias of 29.6 mL/min. The concordance between the formulae to classify patients into stages of kidney disease was very poor (weighted j ¼ 0.17): 21.8% patients had severe renal function impairment with the CG formula versus 1.3% with the MDRD formula. In our population, the MDRD thresholds that would correspond to CG estimates of 30 mL/min and 60 mL/min were found at 63 mL/min/1.73 m 2 and 80 mL/min/1.73 m 2 , respectively. Conclusions. In elderly patients, GFR estimates using MDRD and CG formulae differ widely and identify different numbers of individuals with kidney disease. Prospective comparative studies are needed to validate these formulae and their different thresholds to better detect elderly patients at higher risk of bleeding when treated with LMWH.