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Aging Jun 2024A deep understanding of the biological mechanisms of lung cancer offers more precise treatment options for patients. In our study, we integrated data from the Gene...
A deep understanding of the biological mechanisms of lung cancer offers more precise treatment options for patients. In our study, we integrated data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) to investigate lung adenocarcinoma. Analyzing 538 lung cancer samples and 31 normal samples, we focused on 3076 autophagy-related genes. Using Seurat, dplyr, tidyverse, and ggplot2, we conducted single-cell data analysis, assessing the quality and performing Principal Component Analysis (PCA) and t-SNE analyses. Differential analysis of TCGA data using the "Limma" package, followed by immune infiltration analysis using the CIBERSORT algorithm, led us to identify seven key genes. These genes underwent further scrutiny through consensus clustering and gene set variation analysis (GSVA). We developed a prognostic model using Lasso Cox regression and multivariable Cox analysis, which was then validated with a nomogram, predicting survival rates for lung adenocarcinoma. The model's accuracy and universality were corroborated by ROC curves. Additionally, we explored the relationship between immune checkpoint genes and immune cell infiltration and identified two key genes, HLA-DQB1 and OLR1. This highlighted their potential as therapeutic targets. Our comprehensive approach sheds light on the molecular landscape of lung adenocarcinoma and offers insights into potential treatment strategies, emphasizing the importance of integrating single-cell and genomic data in cancer research.
PubMed: 38942606
DOI: 10.18632/aging.205973 -
Practical Radiation Oncology 2024
Topics: Humans
PubMed: 38942573
DOI: 10.1016/j.prro.2024.03.005 -
Practical Radiation Oncology 2024
Topics: Humans
PubMed: 38942572
DOI: 10.1016/j.prro.2024.01.010 -
Practical Radiation Oncology 2024
Topics: Humans
PubMed: 38942571
DOI: 10.1016/j.prro.2024.04.004 -
Practical Radiation Oncology 2024
Topics: Radiation Oncology; Humans; Optimism; Internship and Residency
PubMed: 38942569
DOI: 10.1016/j.prro.2024.04.007 -
Practical Radiation Oncology 2024
Topics: Humans; Friends; Male
PubMed: 38942568
DOI: 10.1016/j.prro.2023.10.015 -
Practical Radiation Oncology 2024
Stereotactic Radiation Therapy for Kidney Cancer, Hypofractionated Postprostatectomy Radiation, Nasopharyngeal Carcinoma Treatment De-Intensification, Stereotactic Radiation Therapy and Interstitial Lung Disease, and Hyperbaric Oxygen Therapy.
Topics: Humans; Radiosurgery; Hyperbaric Oxygenation; Kidney Neoplasms; Nasopharyngeal Carcinoma; Male; Lung Diseases, Interstitial; Nasopharyngeal Neoplasms; Prostatectomy; Radiation Dose Hypofractionation
PubMed: 38942567
DOI: 10.1016/j.prro.2024.04.008 -
Practical Radiation Oncology 2024
Topics: Humans; Radiation Oncology
PubMed: 38942566
DOI: 10.1016/j.prro.2024.04.011 -
Practical Radiation Oncology 2024
Topics: Humans; beta-Thalassemia; Hematopoiesis, Extramedullary; Spinal Cord Compression; Re-Irradiation; Male; Recurrence; Female; Adult
PubMed: 38942565
DOI: 10.1016/j.prro.2024.03.004 -
The Lancet. Public Health Jul 2024Alcohol health-warning labels are a policy option that can contribute to the reduction of alcohol-related harms, but their effects and public perception depend on their...
Effect of alcohol health warning labels on knowledge related to the ill effects of alcohol on cancer risk and their public perceptions in 14 European countries: an online survey experiment.
BACKGROUND
Alcohol health-warning labels are a policy option that can contribute to the reduction of alcohol-related harms, but their effects and public perception depend on their content and format. Our study aimed to investigate the effect of health warnings on knowledge that alcohol causes cancer, the perceptions of three different message topics (responsible drinking, general health harm of alcohol, and alcohol causing cancer), and the role of images included with the cancer message.
METHODS
In this online survey experiment, distributed in 14 European countries and targeting adults of the legal alcohol-purchase age who consumed alcohol, participants were randomly allocated to one of six label conditions using a pseudorandom number generator stratified by survey language before completing a questionnaire with items measuring knowledge and label perceptions. Effect on knowledge was assessed as a primary outcome by comparing participants who had increased knowledge after exposure to labels with the rest of the sample, for the six label conditions. Label perceptions were compared between label conditions as secondary outcomes.
FINDINGS
19 110 participants completed the survey and were eligible for analysis. Our results showed that a third of the participants exposed to the cancer message increased their knowledge of alcohol causing cancer (increase for 1131 [32·5%, 95% CI 29·8 to 35·2] of 3409 participants [weighted percentage] for text-only message; increase for 1096 [33·3%, 30·4 to 36·2] of 3198 [weighted percentage] for message inlcuding pictogram; and increase for 1030 [32·5%, 29·6 to 35·4] of 3242 [weighted percentage] for message including graphic image), compared with an increase for 76 (2·4%, -1·2 to 6·0) of 3018 participants who viewed the control message. Logistic regression showed that cancer messages increased knowledge compared with the control label (odds ratio [OR] 20·20, 95% CI 15·88 to 26·12; OR 21·16, 16·62 to 27·38; OR 20·61, 16·19 to 26·68). Cancer messages had the highest perceived impact and relevance, followed by general health harm and responsibility messages. Text-only and pictogram cancer messages were seen as clear, comprehensive, and acceptable, whereas those including an image of a patient with cancer had lower acceptability and the highest avoidance rating of all the labels. The only identified interaction between perceptions and experimental conditions (with gender) indicated higher comprehensibility and acceptability ratings of cancer labels than responsibility messages and control labels by women, with the results reversed in men.
INTERPRETATION
Health warnings are an effective policy option to increase knowledge of alcohol causing cancer, with a generalisable effect across several countries. Europeans consider alcohol health-warning labels to be comprehensible and acceptable, with cancer-specific health warnings having the highest perceived impact and relevance.
FUNDING
EU4Health.
Topics: Humans; Europe; Male; Female; Health Knowledge, Attitudes, Practice; Adult; Neoplasms; Middle Aged; Product Labeling; Surveys and Questionnaires; Young Adult; Alcohol Drinking; Adolescent; Public Opinion; Alcoholic Beverages; Aged
PubMed: 38942558
DOI: 10.1016/S2468-2667(24)00102-6