Background It has been reported that twinfilin actin binding protein 1 (TWF1) is associated with the progression of breast and pancreatic cancers. However, the roles and mechanisms of TWF1 in lung adenocarcinoma (LUAD) have not been reported. Methods The expression levels of TWF1 in LUAD and normal tissues were analyzed using The Cancer Genome Atlas (TCGA) database, and validation was carried out with 12 clinical samples. The relationship between TWF1 expression and LUAD patients’ clinical indices and immunity was investigated. Cell Counting Kit-8 (CCK-8) and migration and invasion assays were employed to explore the effects of downregulated TWF1 on LUAD cell proliferation and metastasis. Results TWF1 was upregulated in LUAD tissues, and upregulated TWF1 was correlated with the tumor (T) stage, node (N) stage, clinical classification, overall survival (OS), and progression-free interval (PFI) of LUAD patients. Moreover, the Cox regression analysis showed that TWF1 overexpression was an independent risk factor for the poor prognosis of LUAD patients. TWF1 expression was associated with tumor immune infiltration (such as dendritic cells resting, eosinophils, macrophages M0, and others), drug sensitivity (such as A-770041, Bleomycin, and BEZ235), tumor mutation burden (TMB), and sensitivity to immunotherapy. In the cell model, TWF1 expression interference significantly prohibited LUAD cell proliferation, migration, and invasion, which might be relevant to aberrant MMP1 protein downregulation. Conclusions TWF1 overexpression was correlated with poor prognoses and immune status of LUAD patients. Inhibited TWF1 expression delayed the growth and migration of cancer cells by downregulating MMP protein, implying that TWF1 is a promising biomarker for the prognoses of LUAD patients.
Thoracic endometriosis is characterized by the presence of normal functioning endometrial tissues in normal pleural, diaphragm, or lung parenchyma, and main clinical symptoms include pneumothorax, menstrual hemothorax, menstrual hemoptysis, and pulmonary nodules. Chest X-ray (CXR), computed tomography (CT), magnetic resonance imaging (MRI), bronchoscopy, and surgical biopsy could be applied to the diagnosis of TE. Both drug therapy and surgical treatment were widely used to treat this disease, but no theory was used to guide the choice of treatment options. This paper introduces a case of menstrual hemoptysis due to endometriosis, and the final surgical treatment was chosen. The patient recovered well postoperatively and reported no hemoptysis during 2 months of follow-up. Reexamination of the chest through CT showed no ground-glass lesions or pulmonary exudative lesions. We make the following recommendations for patient selection when considering a surgical approach to the treatment of TE. Patients for whom surgery should be considered are those who (I) do not respond to drug therapy or relapse once drug therapy is withdrawn, (II) cannot tolerate drug therapy or who may wish to get pregnant in the near future (III) have limited lesions which are able to be completely removed during surgery. Patients in whom surgery is not recommended include those who have extensive lesions which cannot be surgically removed, including those with diaphragm or pleural involvement as the diseased tissues must be completely removed to avoid recurrence, and those who are unfit for surgery.
Background: Faced with the current poor prognosis of non-small cell lung cancer, this topic attempts to find new potential prognostic biomarkers to improve the situation.Materials and Methods: To form the synthetic matrix, we searched GTEX and The Cancer Genome Atlas for NSCLC transcriptomic data.The necroptosis-related prognostic factor LncRNAs were identified by co-expression analysis and univariate COX regression analysis, and the necroptosis-related LncRNA model was constructed using the least absolute contraction and selection operator (LASSO).Models were then validated using Kaplan-Meier analysis, time-dependent receiver operating characteristics (ROC), univariate COX (uni-COX) regression, multivariate COX (MULTI-COX) regression, nomograms and calibration curves and evaluation.Gene set enrichment analysis (GSEA) was performed in high-risk groups.Results: We constructed a model containing 4 lncRNAs associated with necroptosis.In the model, we found that the calibration map was in good agreement with prognosis prediction.The 1-, 2-, and 3-year survival rates were 0.663, 0.623, and 0.595, respectively.In conclusion, the results of this project support that necroptosis-related lncRNAs can predict prognosis and help to improve individualized treatment of non-small cell lung cancer.Conclusion: Necroptosis-related lncRNAs could help to suggest developable therapeutic strategies that would greatly enhance the level of individualized therapy and improv patient outcomes.
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