scholarly journals Author Correction: Genomic context of NTRK1/2/3 fusion-positive tumours from a large real-world population

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
C. B. Westphalen ◽  
M. G. Krebs ◽  
C. Le Tourneau ◽  
E. S. Sokol ◽  
S. L. Maund ◽  
...  
2021 ◽  
Vol 5 (1) ◽  
Author(s):  
C. B. Westphalen ◽  
M. G. Krebs ◽  
C. Le Tourneau ◽  
E. S. Sokol ◽  
S. L. Maund ◽  
...  

AbstractNeurotrophic tropomyosin receptor kinase (NTRK) gene fusions are rare oncogenic drivers in solid tumours. This study aimed to interrogate a large real-world database of comprehensive genomic profiling data to describe the genomic landscape and prevalence of NTRK gene fusions. NTRK fusion-positive tumours were identified from the FoundationCORE® database of >295,000 cancer patients. We investigated the prevalence and concomitant genomic landscape of NTRK fusions, predicted patient ancestry and compared the FoundationCORE cohort with entrectinib clinical trial cohorts (ALKA-372-001 [EudraCT 2012-000148-88]; STARTRK-1 [NCT02097810]; STARTRK-2 [NCT02568267]). Overall NTRK fusion-positive tumour prevalence was 0.30% among 45 cancers with 88 unique fusion partner pairs, of which 66% were previously unreported. Across all cases, prevalence was 0.28% and 1.34% in patients aged ≥18 and <18 years, respectively; prevalence was highest in patients <5 years (2.28%). The highest prevalence of NTRK fusions was observed in salivary gland tumours (2.62%). Presence of NTRK gene fusions did not correlate with other clinically actionable biomarkers; there was no co-occurrence with known oncogenic drivers in breast, or colorectal cancer (CRC). However, in CRC, NTRK fusion-positivity was associated with spontaneous microsatellite instability (MSI); in this MSI CRC subset, mutual exclusivity with BRAF mutations was observed. NTRK fusion-positive tumour types had similar frequencies in FoundationCORE and entrectinib clinical trials. NTRK gene fusion prevalence varied greatly by age, cancer type and histology. Interrogating large datasets drives better understanding of the characteristics of very rare molecular subgroups of cancer and allows identification of genomic patterns and previously unreported fusion partners not evident in smaller datasets.


2021 ◽  
Vol 10 (9) ◽  
pp. 1890
Author(s):  
Gabriele Pesarini ◽  
Gabriele Venturi ◽  
Domenico Tavella ◽  
Leonardo Gottin ◽  
Mattia Lunardi ◽  
...  

Background: The aim of this research is to describe the performance over time of transcatheter aortic valve implantations (TAVIs) in a high-volume center with a contemporary, real-world population. Methods: Patients referred for TAVIs at the University Hospital of Verona were prospectively enrolled. By cumulative sum failures analysis (CUSUM), procedural-control curves for standardized combined endpoints—as defined by the Valve Academic Research Consortium-2 (VARC-2)—were calculated and analyzed over time. Acceptable and unacceptable limits were derived from recent studies on TAVI in intermediate and low-risk patients to fit the higher required standards for current indications. Results: A total of 910 patients were included. Baseline risk scores significantly reduced over time. Complete procedural control was obtained after approximately 125 and 190 cases for device success and early safety standardized combined endpoints, respectively. High risk patients (STS ≥ 8) had poorer outcomes, especially in terms of VARC-2 clinical efficacy, and required a higher case load to maintain in-control and proficient procedures. Clinically relevant single endpoints were all influenced by operator’s experience as well. Conclusions: Quality-control analysis for contemporary TAVI interventions based on standardized endpoints suggests the need for relevant operator’s experience to achieve and maintain optimal clinical results, especially in higher-risk subjects.


Author(s):  
Amisha Wallia ◽  
Matthew J. O’Brien ◽  
David T. Liss ◽  
Raymond H. Kang ◽  
Andrew J. Cooper ◽  
...  

2017 ◽  
Vol 23 (4) ◽  
pp. 446-452 ◽  
Author(s):  
Jie Meng ◽  
Roman Casciano ◽  
Yi-Chien Lee ◽  
Lee Stern ◽  
Dmitry Gultyaev ◽  
...  

2013 ◽  
Vol 29 (10) ◽  
pp. S103
Author(s):  
M Pichette ◽  
A Dutilleul ◽  
L Stevens ◽  
N Noiseux ◽  
F Gobeil ◽  
...  

Author(s):  
Yen‐Chu Huang ◽  
Meng‐Che Wu ◽  
Yu‐Hsun Wang ◽  
James Cheng‐Chung Wei

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