Objectives: Lung cancer invading beyond the interlobar pleura, classified as T2a in the new TNM, is a rare entity with a poor outcome. Our purpose was a better understanding of the mechanisms of this particular behaviour and its prognostic value.
Methods: Patients who underwent surgery between 1984 and 2007 were reviewed. We focused on T1 and T2 tumours. Tumours not traversing the pleural elastic layer were defined as PL0, extending through the layer as PL1 and extending to the surface of the visceral pleura as PL2. We considered three groups: group 1, tumours invading the lobar fissure, group 2, PL0-tumours and group 3, PL1 + PL2 tumours and studied their pathology and prognostic characteristics.
Results: The distribution was as follows: group 1 n = 154, group 2 n = 2310 and group 3 n = 651. Pneumonectomy was necessary in 55.2% and bilobectomy in 19.5% of group 1, and N-involvement was present in 55.8% (significantly more than other groups). The mean tumour size (42.7 ± 12 mm) was bigger in group 1. Post-operative mortality was as follows: -5.2, -3.5 and 3.2% in groups 1, 2 and 3, respectively (P = 0.49). Five-year survival rates were: group 1: 38.9%, group 2: 52.5% and group 3: 43.4%; P = 0.00002. Survival was not different between groups concerning pN1 and pN2, but poorer in groups 1 and 3 than in group 2 in pN0 patients, P = 0.0057. Survival was 48.1, 37.9 and 38.4% for tumours between 31 and 70 mm in groups 2, 1 and 3, respectively, P = 0.0024 (but P = 0.65 between groups 1 and 3). Pneumonectomy was a poor prognostic factor in all groups, but survival between pneumonectomy and bilobectomy was not different in group 1. Multivariate analysis confirmed intralobar invasion to be an independent factor of poor prognosis, as well as visceral pleura invasion.
Conclusions: Tumours invading through the fissure have a significant effect on long-term survival in the first stages of lung cancer but also in all stages because of their size and important locoregional spread. Their prognostic value is due to pleural invasion, whose role in lung cancer dissemination is worth further research.
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http://dx.doi.org/10.1093/ejcts/ezr143 | DOI Listing |
Ann Surg Oncol
January 2025
Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Sports Med Open
January 2025
Institute of Primary Care, University of Zurich, Zurich, Switzerland.
Background: Marathon training and running have many beneficial effects on human health and physical fitness; however, they also pose risks. To date, no comprehensive review regarding both the benefits and risks of marathon running on different organ systems has been published.
Main Body: The aim of this review was to provide a comprehensive review of the benefits and risks of marathon training and racing on different organ systems.
Nat Commun
January 2025
European Research Institute for the Biology of Ageing, University Medical Center Groningen, Groningen, Netherlands.
While the effect of amplification-induced oncogene expression in cancer is known, the impact of copy-number gains on "bystander" genes is less understood. We create a comprehensive map of dosage compensation in cancer by integrating expression and copy number profiles from over 8000 tumors in The Cancer Genome Atlas and cell lines from the Cancer Cell Line Encyclopedia. Additionally, we analyze 17 cancer open reading frame screens to identify genes toxic to cancer cells when overexpressed.
View Article and Find Full Text PDFCell Death Discov
January 2025
Institute of Biopharmaceutical Sciences, College of Pharmaceutical Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
TP53 mutations are recognized to correlate with a worse prognosis in individuals with non-small cell lung cancer (NSCLC). There exists an immediate necessity to pinpoint selective treatment for patients carrying TP53 mutations. Potential drugs were identified by comparing drug sensitivity differences, represented by the half-maximal inhibitory concentration (IC50), between TP53 mutant and wild-type NSCLC cell lines using database analysis.
View Article and Find Full Text PDFNat Commun
January 2025
Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA.
Recent barcoding technologies allow reconstructing lineage trees while capturing paired single-cell RNA-sequencing (scRNA-seq) data. Such datasets provide opportunities to compare gene expression memory maintenance through lineage branching and pinpoint critical genes in these processes. Here we develop Permutation, Optimization, and Representation learning based single Cell gene Expression and Lineage ANalysis (PORCELAN) to identify lineage-informative genes or subtrees where lineage and expression are tightly coupled.
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