Latest Advances in Lung Cancer Research

A new JAMA review shows that small cell lung cancer, which affects 95% smokers and has only 12-30% five-year survival, is seeing breakthrough improvements with immunotherapy extending survival to 56 months for early-stage disease, though advanced cases remain challenging with most patients relapsing within three months.

Obesity paradox in lung cancer: Study finds obesity associated with improved survival in NSCLC patients, particularly those with preserved skeletal muscle quality and quantity.

Lung cancer mortality trends show significant disparities by sex, age, and ethnicity, with declining rates overall but persistent gaps in healthcare access and outcomes.

Neoadjuvant chemotherapy before surgery significantly improves survival in stage IIIA NSCLC, reducing death risk by 30% and increasing 5-year survival to 41% from 26%.

Tagrisso significantly improves survival in patients with unresectable stage III EGFR-mutated lung cancer, offering new hope for a longer life.

“Ground-glass opacity” on lung CT scans, a hazy sign of potential cancer, is linked to higher survival rates, emphasizing the importance of early detection.

Women’s lung cancer is often diagnosed late and treated less aggressively than men’s lung cancer, despite being the leading cause of cancer death among women.

Recent studies confirm genomic testing for NSCLC enhances treatment choices and survival, advocating for its standardization in clinical practice.

Study reveals 1 in 12 advanced lung cancer patients died from COVID-19 during the Omicron wave, highlighting the variant’s significant risk despite lower severity.

Study shows that smoking cessation was associated with a nearly 30% improvement in overall survival with lung cancer patients.

New research indicates lower income correlates with poorer lung cancer survival rates due to late diagnosis, with disparities influenced by socioeconomic status and systemic racism.

Canadian researchers developed IPRO, a deep learning model for lung cancer care, enhancing prognosis by analyzing pre-treatment CT scans without manual input.