• Mashup Score: 1

    RET-fusions in non-small cell lung cancer (NSCLC) were first detected in 2012. The most frequent fusion partner of the RET–gene in lung cancer is KIF5B. Overall, 48 fusion partners have been identified.[1] RET-fusions can be detected in 1-2% of lung adenocarcinomas.[2]

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    • Alectinib is an excellent #ALK inhibitor but also had #RET activity in vitro. A prospective phase II (ETOP-ALERT) studied alectinib in RET+ NSCLC and showed no responses. Study closed due to lack of efficacy (and better RET TKIs). Reported @LungCaJournal. https://t.co/steLlfzExj

  • Mashup Score: 1

    Lung cancer is responsible for the highest cancer-related mortality worldwide.[1] Overall survival in advanced disease has traditionally been poor[2]but has improved in recent years in response to the developments of new treatments[3,4]. An improved understanding of the aberrant molecular biomarkers arising from somatic gene mutations that drive malignancy has led to the development of agents…

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    • Proof of concept study @LungCaJournal on exhaled breath condensate for biomarker testing for NSCLC. Compared favorably to plasma and tissue NGS for major targets. Need more details on specificity and type of mutations identified but promising data! #LCSM https://t.co/nck9k5r2dT

  • Mashup Score: 2

    Non-small cell lung cancer (NSCLC) is one of two main subtypes of lung cancer, accounting for 84% of all cases [1]. NSCLC is considered difficult to treat owing to its aggressiveness and resistance to current therapies [2]. However, with the advancement of molecular biomarker testing, specific genetic alterations have been identified that enable personalized treatment leading to improved outcomes…

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    • This report from a patient survey in Europe @LungCaJournal highlights the ongoing need for improved communication about biomarkers, clinical trials, and financial toxicity. Most pts prefer oral to IV and interesting insights into pill burden here. #LCSM https://t.co/BEEQtHnuaS

  • Mashup Score: 11

    The role of low-dose CT scans for lung cancer and the selection of appropriate populations to screen are ongoing areas of exploration in cancer prevention. Screening parameters are based on models that consider the incidence of lung cancer in the population, the risks associated with overdiagnosis, the rates of risk factors, survival benefit, healthcare cost considerations, and healthcare policy…

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    • Check out the latest publication from the #DumaLab ⬇️⬇️⬇️ 💡Adjust, don’t avoid: The need for risk-based CT screening in nonsmoking populations It's time to see lung cancer screening from an additional perspective. Lead by @NishwantS https://t.co/RlELhHHp2Z https://t.co/LSxItWAWMN