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Study shows long-term survival benefit for certain patients with advanced lung cancer

Researchers at Yale Cancer Center discovered that a small amount of the PD-L1 biomarker can predict long-term survival benefits from using pembrolizumab in patients with advanced lung cancer. The study found that overall survival was about 99% one year after discontinuing treatment, and ranged from 23% to 35% three years after treatment.

SourceYale University·JournalJournal of Clinical Oncology·DateFeb 20, 2020

Lung cancer screening decision aid delivered through tobacco quitlines improves informed decision-making

A study by the University of Texas M. D. Anderson Cancer Center shows that a lung cancer screening decision aid delivered through tobacco quitlines effectively reaches a screening-eligible population and results in informed decisions about lung cancer screening. The decision aid, which explains eligibility, risks, and benefits, encoura...

Entrectinib effective, well-tolerated against ROS1 and NTRK lung cancers, especially with brain metastases

The pooled analysis of three clinical trials shows entrectinib is effective in 77% of patients with ROS1+ NSCLC and 57% of patients with NTRK+ NSCLC, with significant response rates and progression-free survival times. Entrectinib's ability to penetrate brain metastases makes it a promising treatment for these patients.

SourceUniversity of Colorado Anschutz Medical Campus·JournalThe Lancet Oncology·DateDec 13, 2019

Is cigarette type associated with lung cancer outcomes?

A study of over 14,000 participants found associations between specific cigarette characteristics and lung cancer outcomes. Researchers analyzed data from a lung screening trial to investigate the impact of cigarette filter status, tar level, and menthol flavor on lung cancer outcomes.

SourceJAMA Network·JournalJAMA Internal Medicine·DateOct 21, 2019

Cancer data provide insights into occurrence, overdiagnosis, and treatment advances

A 40-year epidemiological study found that cancer incidence and mortality rates often move in concert for certain cancers, such as lung cancer, indicating a desirable trend. However, other cancers like thyroid, kidney, and melanoma show rising incidence rates with stagnant mortality rates, suggesting overdiagnosis may be at play

SourceBrigham and Women's Hospital·JournalNew England Journal of Medicine·DateOct 2, 2019

Electronic nose can sniff out which lung cancer patients will respond to immunotherapy

A new electronic nose can identify lung cancer patients who will respond to immunotherapy with 85% accuracy, outperforming the current gold standard of immunohistochemistry. The non-invasive test detects chemicals in patient breath and provides instant feedback, potentially avoiding ineffective treatment and side effects.

SourceEuropean Society for Medical Oncology·JournalAnnals of Oncology·DateSep 17, 2019

Machine learning improves the diagnosis of patients with head and neck cancers

Researchers developed a new classification method using artificial intelligence to identify primary cancerous tissue in head and neck cancers. The method achieved an accuracy of over 99% in distinguishing between primary lung squamous cell carcinomas and head and neck metastases, offering potential benefits for patients.

SourceCharité - Universitätsmedizin Berlin·JournalScience Translational Medicine·DateSep 12, 2019