Introduction: T components of the current eighth edition of lung cancer American Joint Commission on Cancer (AJCC) staging assignment include size of primary tumor and others such as chest wall invasion. The role of the presence of multiple T3 descriptors in prognosis remains unknown.
Methods: Using the National Cancer Database and the AJCC seventh edition, pathologically staged (R0) N0M0 NSCLC cases diagnosed in 2010 to 2016 were analyzed. The selected cases had primary size larger than 5 cm or staged as T3 by the AJCC seventh edition despite the size of less than 5 cm. T3 descriptor status according to the eighth edition was defined as single descriptor ("T3-single") with primary size of 5 to 7 cm or size less than 5 cm and T3 based on the seventh edition ("T3-other") or multiple descriptor ("T3-multi") with presence of both descriptors. Survival analysis was performed with validation of multivariate analyses.
Results: Of the 108,632 surgically resected pathologically staged N0M0R0 NSCLC cases, 9931 met the following criteria: 8955 as T3-single (4381 as T3-size, 4574 as T3-other) and 884 as T3-multi. Univariate and multivariate analyses revealed that T3-multi had significantly worse overall survival than T3-single with a median survival of 37.3 versus 69.3 months, respectively. Propensity score matching analysis validated the statistical significance. Exploratory analysis also revealed that the survival of the T3-multi group is similar to that of the T4 groups.
Conclusions: Our retrospective analysis using the National Cancer Database suggests that prognosis of patients with multiple T3 descriptors is substantially worse than those with single descriptors. Further research may be required to accurately define the prognosis of NSCLC for future staging update.
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http://dx.doi.org/10.1016/j.jtocrr.2020.100111 | DOI Listing |
Cancer Med
January 2025
Faculty of Medical Sciences, Neuroscience Research Center, Lebanese University, Hadath, Lebanon.
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January 2025
Kobilka Institute of Innovative Drug Discovery, School of Medicine, The Chinese University of Hong Kong, Shenzhen, 2001 Longxiang Road, 518172 Shenzhen, China.
Drug-induced liver injury (DILI) is a major challenge in drug development, often leading to clinical trial failures and market withdrawals due to liver toxicity. This study presents StackDILI, a computational framework designed to accelerate toxicity assessment by predicting DILI risk. StackDILI integrates multiple molecular descriptors to extract structural and physicochemical features, including the constitution, pharmacophore, MACCS, and E-state descriptors.
View Article and Find Full Text PDFChem Sci
December 2024
Shenzhen Grubbs Institute, Department of Chemistry, Guangdong Provincial Key Laboratory of Catalysis, Southern University of Science and Technology Shenzhen 518055 China
Distortion can play crucial roles in influencing structures and properties, as well as enhancing reactivity or selectivity in many chemical and biological systems. The distortion/interaction or activation-strain model is a popular and powerful method for deciphering the origins of activation energies, in which distortion and interaction energies dictate an activation energy. However, decomposition of local distortion energy at the atomic scale remains less clear and straightforward.
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January 2025
Separation Science Group, Department of Organic and Macromolecular Chemistry, Ghent University, Krijgslaan 281 S4bis, B-9000 Ghent, Belgium.
Addressing the global challenge of ensuring access to safe drinking water, especially in developing countries, demands cost-effective, eco-friendly, and readily available technologies. The persistence, toxicity, and bioaccumulation potential of organic pollutants arising from various human activities pose substantial hurdles. While high-performance liquid chromatography coupled with high-resolution mass spectrometry (HPLC-HRMS) is a widely utilized technique for identifying pollutants in water, the multitude of structures for a single elemental composition complicates structural identification.
View Article and Find Full Text PDFWater Res
December 2024
Research group BioGeoOmics, Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research, UFZ, Leipzig 04318, Germany.
Dissolved organic matter (DOM) present in surface aquatic systems is a heterogeneous mixture of organic compounds reflecting its allochthonous and autochthonous organic matter (OM) sources. The composition of DOM is determined by environmental factors like land use, water chemistry, and climate, which influence its release, movement, and turnover in the ecosystem. However, studying the impact of these environmental factors on DOM composition is challenging due to the dynamic nature of the system and the complex interactions of multiple environmental factors involved.
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