ReviewCancer discovery2026
A Roadmap to Transform Lung Cancer Outcomes: Priorities in Biology, Therapeutic Innovation, Early Detection, Prevention, and Interception.
Review in Cancer discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
22 authors.
Funding
Abstract
Advances in targeted therapies, immunotherapy, and early detection have revolutionized lung cancer treatment and extended survival. Nonetheless, lung cancer remains highly fatal. Here, we identify knowledge gaps and propose critical areas of future research, aligning with the mission of the American Association for Cancer Research (AACR) Lung Cancer Task Force. We delineate research priorities, including advancing prevention initiatives, enhancing early detection strategies, developing novel treatments, and refining patient stratification. Addressing disparities and increasing efforts on relatively neglected lung cancer subtypes are also essential. Finally, international collaboration, centralized clinical trial databases, novel clinical trial designs, and artificial intelligence-driven analytics should accelerate precision medicine and aid in elucidating drug resistance mechanisms. Together, these efforts promise to improve patient outcomes. SIGNIFICANCE: Despite substantial progress in understanding disease biology and improving therapy, lung cancer remains the leading cause of global cancer-related deaths. The members of the AACR Lung Cancer Task Force describe areas of unmet need and define near-term research priorities and opportunities to reduce lung cancer morbidity and mortality.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.