ArticleJournal of pathology and translational medicine2026
Spread through air spaces as a marker of nonlinear evolutionary trajectories in lung cancer: implications for the 9th edition TNM classification.
Article in Journal of pathology and translational medicine, 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
1 author.
Funding
Abstract
Recent advancements in the diagnosis and therapeutic management of lung cancer have contributed to an evolution in pathological reporting standards. The 8th edition of the TNM classification of lung tumors has introduced the invasive size of adenocarcinoma-rather than total tumor size-as the primary determinant for staging. Concurrently, histological grading criteria proposed by the International Association for the Study of Lung Cancer (IASLC), based on predominant and highest-grade architectural patterns, appear to offer improved clinical utility over legacy systems. In addition, tumor spread through air spaces (STAS) has emerged as an actively investigated pattern of invasion, characterized by the presence of neoplastic cells beyond the main tumor mass within the adjacent pulmonary parenchyma. STAS is frequently observed in advanced-stage and node-positive non-small cell lung cancer and often correlates with distant metastasis. Recognizing its clinical relevance, the IASLC Staging Project recently recommended incorporating STAS as a histologic T descriptor in the 9th edition of the TNM classification. Expanding upon this framework, this review explores STAS not merely as a prognostic indicator, but as a potential reflection of divergent evolutionary trajectories influenced by underlying driver mutations. Accordingly, this review aims to comprehensively synthesize the prevailing controversies and recent academic milestones regarding STAS, the current limitations in preoperative STAS risk prediction, the logistical hurdles of intraoperative diagnosis, and critically evaluates the need for prospective clinical trials to validate STAS as a predictive biomarker for adjuvant systemic therapy.
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.