Objective To evaluate the technique of finger palpation in thoracoscopic localization in patients with pulmonary nodules,and to summarize its technical details,especially with exploit of chest computed tomography (CT) facilitating it.Methods 95 patients with total amount of 109 pulmonary nodes 20 mm or smaller in size shown with lung window of CT,were reviewed.They were located subpleurally,with a median depth of 8.2 mm and a median size of 10.0 mm.The value of their depth over their size (D/d value) could be used as the extent of localizing difficulty.Each node had its own radiographic fealures for being localized,which was built preoperatively.Under thoracoscopic vision,nodules were finger-palpated by index finger via the 4th or 5th intercostal space on anterior axillary line,followed by wedgectomy or lobectomy for instant histopathological diagnosis to further decide the final surgical type.The distance between the nodule and the origin of segmental bronchus (L value) were also calculated out,as it might be relevant to the way the nodule could be biopsied.Results All nodules were successfully localized and resected for biopsy goal,105 by wedgectomy,4 by lobectomy.After intraoperative diagnosis was made by the pathologist,VATS lobectomy and lymph node dissection were further performed in 55 patients.L value of 4 cases being biopsied by lobectomy ranged from 18.3 to 30.3 mm,averaging 26.1 mm.Conclusion Finger palpation is viable in any cases of pulmonary nodules.Detailed reference of CT digital information,and enough detachment of mediastinal pleura,can greatly facilitate thoracoscopic localization by finger palpation.Lobectomy or segementectomy is preferable when L value is less than 30 mm.

Objective To determine the prognostic biomarkers and new therapeutic targets of the lung adenocarcinoma (LUAD), based on which to establish a prediction model for the survival of LUAD patients. Methods An integrative analysis was conducted on gene expression and clinicopathologic data of LUAD, which were obtained from the UCSC database. Subsequently, various methods, including screening of differentially expressed genes (DEGs), Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA), were employed to analyze the data. Cox regression and least absolute shrinkage and selection operator (LASSO) regression were used to establish an assessment model. Based on this model, we constructed a nomogram to predict the probable survival of LUAD patients at different time points (1-year, 2-year, 3-year, 5-year, and 10-year). Finally, we evaluated the predictive ability of our model using Kaplan-Meier survival curves, receiver operating characteristic (ROC) curves, and time-dependent ROC curves. The validation group further verified the prognostic value of the model. Results The different-grade pathological subtypes' DEGs were mainly enriched in biological processes such as metabolism of xenobiotics by cytochrome P450, natural killer cell-mediated cytotoxicity, antigen processing and presentation, and regulation of enzyme activity, which were closely related to tumor development. Through Cox regression and LASSO regression, we constructed a reliable prediction model consisting of a five-gene panel (MELTF, MAGEA1, FGF19, DKK4, C14ORF105). The model demonstrated excellent specificity and sensitivity in ROC curves, with an area under the curve (AUC) of 0.675. The time-dependent ROC analysis revealed AUC values of 0.893, 0.713, and 0.632 for 1-year, 3-year, and 5-year survival, respectively. The advantage of the model was also verified in the validation group. Additionally, we developed a nomogram that accurately predicted survival, as demonstrated by calibration curves and C-index. Conclusion We have developed a prognostic prediction model for LUAD consisting of five genes. This novel approach offers clinical practitioners a personalized tool for making informed decisions regarding the prognosis of their patients.