Larysuicide: an online risk stratification system to identify patients at high risk of suicide after the laryngeal cancer diagnosis.

BACKGROUND: Patients with laryngeal cancer have more than five times the incidence of suicide compared with the general population. In this study, we aimed to develop an online risk stratification system, named Larysuicide, to identify patients at high risk of suicide after the laryngeal cancer diagnosis. METHODS: Forty-two thousand and sixty-six American patients from the SEER-18 database and 4207 Chinese patients from our center were included in this study. We randomly assigned American patients into the training set and validation set at a ratio of 7:3, and all Chinese patients remained as an independent external testing set. LASSO regression model was applied for data dimension reduction, feature selection, and Larysuicide building. The performance of model was evaluated and validated by C-index, AUC, calibration curves, decision curve analysis (DCA), and univariate regression analysis. RESULTS: The Larysuicide developed with seven selected features-age, race, cancer site, pathological subtype, grade, stage at presentation, and radiation. The model showed good discrimination, with a C-index of 0.745 (95% CI 0.723-0.767) in training set, 0.759 (95% CI 0.722-0.800) in validation set, and 0.749 (95% CI 0.730-0.769) in testing set. The AUC was 0.745 in training set, 0.759 in validation set, and 0.749 in testing set. The calibration curves showed good calibration. Decision curve analysis demonstrated that Larysuicide was clinically useful. The univariate regression analysis presented patients in the high-risk group identified by Larysuicide suffered a significantly higher risk of committing suicide after cancer diagnosis. CONCLUSION: We constructed an online risk stratification system which could help health-care professionals efficiently identify patients at high risk of suicide after the laryngeal cancer diagnosis. Larysuicide could be a useful tool for health-care professionals to implement an early and appropriate psychological intervention in context of precision medicine.

Expression of Microtubule-Associated Proteins in Relation to Prognosis and Efficacy of Immunotherapy in Non-Small Cell Lung Cancer.

BACKGROUND: Microtubule-associated proteins (MAPs) have been considered to play significant roles in the tumor evolution of non-small cell lung cancer (NSCLC). Nevertheless, mRNA transcription levels and prognostic value of distinct MAPs in patients with NSCLC remain to be clarified. METHODS: In this study, the Oncomine database, Gene Expression Profiling Interactive Analysis (GEPIA) database, and Human Protein Atlas were utilized to analyze the relationship between mRNA/protein expression of different MAPs and clinical characteristics in NSCLC patients, including tumor type and pathological stage. The correlation between the transcription level of MAPs and overall survival (OS) of NSCLC patients was analyzed by Kaplan-Meier plotter. Besides, 50 frequently altered neighbor genes of the MAPs were screened out, and a network has been constructed via the cBioPortal and Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) dataset. Meanwhile, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis on the expression data of MAPs and their 50 frequently altered neighbor genes in NSCLC tissues. Furthermore, The Cancer Immunome Atlas (TCIA) was utilized to analyze the relationship between MAP expression and the response to immunotherapy. Finally, we used reverse transcription-quantitative polymerase chain reaction (RT-qPCR) to verify the expression of MAPs in 20 patients with NSCLC. RESULTS: The present study discovered that the mRNA transcription levels of MAP7/7D2 were enriched in NSCLC tissues, while those of the MAP2/4/6/7D3 were lower in NSCLC specimens than those in control specimens. The mRNA transcription level of MAP6 was significantly associated with the advanced stage of NSCLC. Besides, survival analysis indicated that higher mRNA expressions of MAP2/4/6/7/7D3 were correlated considerably with favorable OS of NSCLC patients, whereas increased mRNA expression levels of MAP1A/1S were associated with poor OS. Moreover, the expression of MAP1A/1B/1S/4/6/7D1/7D3 was significantly correlated with immunophenoscore (IPS) in NSCLC patients. CONCLUSIONS: Our analysis indicated that MAP1A/1S could serve as potential personalized therapeutic targets for patients with NSCLC, and the enriched MAP2/4/6/7/7D3 expression could serve as a biomarker for favorable prognosis in NSCLC. Besides, the expression of MAP1A/1B/1S/4/6/7D1/7D3 was closely related to the response to immunotherapy. Taken together, MAP expression has potential application value in the clinical treatment and prognosis assessment of NSCLC patients, and further verifiable experiments can be conducted to verify our results.

Digital Light Processing Based Three-dimensional Printing for Medical Applications.

An additive manufacturing technology based on projection light, digital light processing (DLP), three-dimensional (3D) printing, has been widely applied in the field of medical products production and development. The precision projection light, reflected by a digital micromirror device of million pixels instead of one focused point, provides this technology both printing accuracy and printing speed. In particular, this printing technology provides a relatively mild condition to cells due to its non-direct contact. This review introduces the DLP-based 3D printing technology and its applications in medicine, including precise medical devices, functionalized artificial tissues, and specific drug delivery systems. The products are particularly discussed for their significance in medicine. This review indicates that the DLP-based 3D printing technology provides a potential tool for biological research and clinical medicine. While, it is faced to the challenges of scale-up of its usage and waiting period of regulatory approval.

3D printed self-driven thumb-sized motors for in-situ underwater pollutant remediation.

Green fuel-driven thumb sized motors (TSM) were designed and optimized by 3D printing to explore their in-situ remediation applications in rare studied underwater area. Combined with areogel processing and specialized bacteria domestication, each tiny TSM could realize large area pollutant treatment precisely in an impressive half-automatically manner.

Natural extracted aerogels with inherent anisotropy and their 3D printing assisted biomedical applications.

Exemplified with jackfruit and sugarcane, natural extracted aerogels with inherent structural anisotropy were investigated for the first time. With the help of nano-modification, the dual liquid/current directing capability of the Ag decorated jackfruit aerogel was discovered. This interesting material was then applied as the core component of a 3D printed wearable device for intelligent wound management. The as-prepared ultra-light (<10 g) wearable device could provide drainage diversion, wound warning and triple antibacterial treatment in a continuous and automatic manner.