Seventy-seven prognostic factors influencing survival time in patients with unresectable lung cancer treated from 1964 to 1983 at Aichi Cancer Center Hospital were analyzed using univariate analysis by log rank test and multivariate analysis by proportional hazard model of Cox. Statistical significance using univariate analysis was identified in 19 factors in small cell lung cancer patients, and in 40 factors in non-small cell lung cancer patients. The string prognostic factors determined by multivariate analysis were, in the order of importance, serum LDH level, chest pain, peripheral lymphocyte count, bone marrow metastasis, brain metastasis, age, and performance status in small cell lung cancer patients. These 7 factors had a p value of less than 0.01. On the other hand, they were the number of metastatic sites, performance status, serum albumin level, serum LDH level, sex, BUN level, N category according to TNM staging system in non-small cell lung cancer patients, with a p value of less than 0.001. The most important prognostic factors were serum LDH level in small cell lung cancer, and the number of metastatic sites and performance status in non-small cell lung cancer. A metastasis to bone marrow or brain was a more important prognostic factor than overall M category in small cell lung cancer patients, and the number of metastatic sites rather than clinical stage classification or TNM staging system in non-small cell lung cancer patients with respect to staging system. Accurate evaluation of the treatment results in unresectable lung cancer patients must take the strong prognostic factors into account.
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J Breath Res
January 2025
School of Medicine and Pharmacy, Ocean University of China, 5 Yushan Rd, Qingdao, Shandong, 266003, CHINA.
Lung cancer is one of the most common malignancy in the world, and early detection of lung cancer remains a challenge. The exhaled breath condensate (EBC) from lung and trachea can be collected totally noninvasively. In this study, our aim is to identify differential metabolites between non-small cell lung cancer (NSCLC) and control EBC samples and discriminate NSCLC group from control group by orthogonal projections to latent structures-discriminant analysis (OPLS-DA) models.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
School of Public Health, Capital Medical University, Beijing, 100069, P. R. China.
Substantial epidemiological evidence suggests a significant correlation between particulate matter 2.5 (PM) and lung cancer. However, the mechanism underlying this association needs to be further elucidated.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 211166, P. R. China.
A previous study classifies solid tumors based on collagen deposition and immune infiltration abundance, identifying a refractory subtype termed armored & cold tumors, characterized by elevated collagen deposition and diminished immune infiltration. Beyond its impact on immune infiltration, collagen deposition also influences tumor angiogenesis. This study systematically analyzes the association between immuno-collagenic subtypes and angiogenesis across diverse cancer types.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.
Breath analysis is increasingly recognized as a powerful noninvasive diagnostic technique, and a plethora of exhaled volatile biomarkers have been associated with various diseases. However, traditional analytical methodologies are not amenable to high-throughput diagnostic applications at the point of need. An optical spectroscopic technique, surface-enhanced Raman spectroscopy (SERS), mostly used in the research setting for liquid sample analysis, has recently been applied to breath-based diagnostics.
View Article and Find Full Text PDFAm J Physiol Lung Cell Mol Physiol
January 2025
Research Institute of the, McGill University Health Centre, Montreal, QC, Canada.
The increasing shift from cannabis smoking to cannabis vaping is largely driven by the perception that vaping to form an aerosol represents a safer alternative to smoking and is a form of consumption appealing to youth. Herein, we compared the chemical composition and receptor-mediated activity of cannabis smoke extract (CaSE) to cannabis vaping extract (CaVE) along with the biological response in human bronchial epithelial cells. Chemical analysis using HPLC and GC/MS revealed that cannabis vaping aerosol contained fewer toxicants than smoke; CaSE and CaVE contained teratogens, carcinogens, and respiratory toxicants.
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