Post by Mario Bernabeu Aracil
BSc in Biology - UA | 2017 โ 2022 MSc in Genetics and Genomics - UB | 2023 โ 20224 MSc in Bioinformatics and Biostatistics - UOC โ UB | 2025 โ Present
๐ Very happy to share our recent paper published in ๐๐ฉ๐ฆ๐ณ๐ข๐ฑ๐ฆ๐ถ๐ต๐ช๐ค ๐๐ฅ๐ท๐ข๐ฏ๐ค๐ฆ๐ด ๐ช๐ฏ ๐๐ฆ๐ฅ๐ช๐ค๐ข๐ญ ๐๐ฏ๐ค๐ฐ๐ญ๐ฐ๐จ๐บ: โ๐๐ฟ๐ฒ๐พ๐๐ฒ๐ป๐ฐ๐ ๐ผ๐ณ ๐ฑ๐ฟ๐ถ๐๐ฒ๐ฟ ๐ผ๐ป๐ฐ๐ผ๐ด๐ฒ๐ป๐ถ๐ฐ ๐ฎ๐น๐๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ ๐ถ๐ป ๐ก๐ฆ๐๐๐ ๐ฎ๐ป๐ฑ ๐ฒ๐๐๐ถ๐บ๐ฎ๐๐ฒ๐ฑ ๐ถ๐ป๐ฑ๐ผ๐ผ๐ฟ ๐ฟ๐ฎ๐ฑ๐ผ๐ป ๐ฒ๐ ๐ฝ๐ผ๐๐๐ฟ๐ฒ ๐ถ๐ป ๐๐๐ฟ๐ผ๐ฝ๐ฒโ (๐ฅ๐๐๐ข๐ก ๐๐จ๐ฅ๐ข๐ฃ๐ ๐๐๐๐ฑ๐) In this ecological study, we explored whether estimated indoor radon exposure across European countries could be associated with the frequency of actionable genomic alterations in non-small cell lung cancer (NSCLC), focusing on ๐๐๐๐ฅ mutations and ๐๐๐ fusions. The study included data from 21 European countries and combined country-level indoor radon exposure estimates with published molecular epidemiology data from NSCLC cohorts. Key points from the work: โ A positive correlation was observed between ๐๐๐ fusion frequency and the proportion of dwellings with radon levels above 400 Bq/mยณ. โ No correlation was observed between ๐๐๐๐ฅ mutation frequency and estimated indoor radon exposure. โ The signal appeared more clearly when considering the percentage of high-radon dwellings, rather than only average country-level radon values. โ These findings support the idea that environmental exposures may contribute to the geographical variation observed in the molecular subtypes of NSCLC. From my point of view, one of the most interesting aspects of this work is that it places ๐บ๐ผ๐น๐ฒ๐ฐ๐๐น๐ฎ๐ฟ ๐ฒ๐ฝ๐ถ๐ฑ๐ฒ๐บ๐ถ๐ผ๐น๐ผ๐ด๐ within the broader framework of precision medicine and environmental oncology. Of course, these results need to be interpreted carefully: this was an ecological study, so causality cannot be inferred, and future research will require individual-level exposure, clinical, demographic, and molecular data. Still, I think this study provides an interesting proof of concept and reinforces the need to integrate ๐ฒ๐ ๐ฝ๐ผ๐๐ผ๐บ๐ฒ, epidemiological, clinical, and molecular data to better understand lung carcinogenesis, especially in populations with low smoking prevalence. This paper is also special to me because I contributed to the project during my time at Hospital ClรญnicโIDIBAPS. Iโm very grateful to ๐ ๐ถ๐ด๐๐ฒ๐น ๐๐ฎ๐ฟ๐ฐรญ๐ฎ ๐ฃ๐ฎ๐ฟ๐ฑ๐ผ, Laura Mezquita, and the whole team for the opportunity to take part in this work and contribute to a research line that connects thoracic oncology, molecular epidemiology, environmental exposure, and data-driven research. ๐ Full paper here: https://lnkd.in/exgU92Ui