Ethnicity differences may contribute to the variety of overall survival in pulmonary adenocarcinoma, while the influence of ethnicity relevant somatic driver mutations (ERSDM) profile on Caucasian survival is not well investigated. In this study, we studied epidermal growth factor receptor (EGFR), tumor protein p53 (TP53), Kirsten rat sarcoma 2 viral oncogene homolog (KRAS), and Serine/Threonine Kinase 11 (STK11) to construct the ERSDM profile. Those genes were selected as harboring somatic driver mutations with >10% prevalence and with different occurrence between Caucasian and Asian ethnicity. Clinical information and transcriptome sequencing of 173 Caucasian pulmonary adenocarcinoma patients with matched mutation data are retrieved from TCGA, Kaplan-Meier analyses and Cox proportional-hazards regression models are further used to analyze the effect of the ERSDM profile on overall survival. There is no significant correlation between single gene mutation and overall survival, while patients with less than two mutated genes have a better overall survival compared with those with at least two mutated genes (p = 0.034). All of these indicate that multiple mutations in the ERSDM profile may be a negative prognostic factor for overall survival in Caucasian pulmonary adenocarcinoma patients.
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http://dx.doi.org/10.1016/j.sjbs.2018.05.023 | DOI Listing |
Front Surg
January 2025
Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.
Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.
Imaging-based spatial transcriptomics (ST) is evolving rapidly as a pivotal technology in studying the biology of tumors and their associated microenvironments. However, the strengths of the commercially available ST platforms in studying spatial biology have not been systematically evaluated using rigorously controlled experiments. In this study, we used serial 5-µm sections of formalin-fixed, paraffin-embedded surgically resected lung adenocarcinoma and pleural mesothelioma tumor samples in tissue microarrays to compare the performance of the single cell ST platforms CosMx, MERFISH, and Xenium (uni/multi-modal) platforms in reference to bulk RNA sequencing, multiplex immunofluorescence, GeoMx Digital Spatial Profiler, and hematoxylin and eosin staining data for the same samples.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Plastic Surgery, University of California, Irvine, CA, USA.
Background: While prosthesis-associated malignancies have been acknowledged, awareness among surgeons and patients in the ophthalmologic field remains limited, despite the frequent occurrence of prosthesis-related surgeries. We aim to address this gap through a scoping review of malignancies following ophthalmologic surgeries involving various foreign device/prosthesis/implants.
Methods: Following PRISMA guidelines, we conducted a review using PubMed and Embase for studies on cancer and ophthalmic prostheses/implants.
NPJ Digit Med
January 2025
Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Existing prognostic models are useful for estimating the prognosis of lung adenocarcinoma patients, but there remains room for improvement. In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. The efficiency of the model was then evaluated in independent multicenter cohorts.
View Article and Find Full Text PDFCell Death Discov
January 2025
Laboratory of Genome Stress Signaling, National Cancer Center Research Institute, Chuo-ku, Tokyo, 104-0045, Japan.
DNA replication stress (RS), a prevalent feature of various malignancies, arises from both genetic mutations and genotoxic exposure. Elevated RS levels increase the vulnerability of cancer cells to ataxia telangiectasia and Rad3-related kinase inhibitors (ATRis). Here, we screened for DNA damage response inhibitors that enhance ATRi-induced cytotoxicity using SWI/SNF complex-deficient cells and identified a potent synergy between ATRi and poly(ADP-ribose) polymerase inhibitor (PARPi), particularly in SMARCA4-deficient cells.
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