Recognition of the orbital-angular-momentum spectrum for hybrid modes existing in a few-mode fiber via a deep learning method.

In this study, we theoretically and experimentally demonstrate that the convolutional neural network (CNN) in combination with the residual blocks and the regression methods can be used to precisely and quickly reconstruct the OAM spectrum of a hybrid OAM mode no matter how the consistent OAM modes have the same or different order indices in both the azimuthal and the radial direction. For cases of the simulation testing, the mean errors of all recognized parameters for hybrid OAM modes in a four-mode fiber (4MF) and a six-mode fiber (6MF) are smaller than 0.003 and 0.008, respectively. To the best of our knowledge, this is the first time that all the OAM modes, probably existing in the core of 4MFs or 6MFs, can be precisely and quickly recognized from intensity distribution of the hybrid OAM mode itself via the deep learning method.

Personalized immune subtypes based on machine learning predict response to checkpoint blockade in gastric cancer.

Immune checkpoint inhibitors (ICI) show high efficiency in a small fraction of advanced gastric cancer (GC). However, personalized immune subtypes have not been developed for the prediction of ICI efficiency in GC. Herein, we identified Pan-Immune Activation Module (PIAM), a curated gene expression profile (GEP) representing the co-infiltration of multiple immune cell types in tumor microenvironment of GC, which was associated with high expression of immunosuppressive molecules such as PD-1 and CTLA-4. We also identified Pan-Immune Dysfunction Genes (PIDG), a conservative PIAM-derivated GEP indicating the dysfunction of immune cell cooperation, which was associated with upregulation of metastatic programs (extracellular matrix receptor interaction, TGF-ß signaling, epithelial-mesenchymal transition and calcium signaling) but downregulation of proliferative signalings (MYC targets, E2F targets, mTORC1 signaling, and DNA replication and repair). Moreover, we developed 'GSClassifier', an ensemble toolkit based on top scoring pairs and extreme gradient boosting, for population-based modeling and personalized identification of GEP subtypes. With PIAM and PIDG, we developed four Pan-immune Activation and Dysfunction (PAD) subtypes and a GSClassifier model 'PAD for individual' with high accuracy in predicting response to pembrolizumab (anti-PD-1) in advance GC (AUC = 0.833). Intriguingly, PAD-II (PIAMhighPIDGlow) displayed the highest objective response rate (60.0%) compared with other subtypes (PAD-I, PIAMhighPIDGhigh, 0%; PAD-III, PIAMlowPIDGhigh, 0%; PAD-IV, PIAMlowPIDGlow, 17.6%; P = 0.003), which was further validated in the metastatic urothelial cancer cohort treated with atezolizumab (anti-PD-L1) (P = 0.018). In all, we provided 'GSClassifier' as a refined computational framework for GEP-based stratification and PAD subtypes as a promising strategy for exploring ICI responders in GC. Metastatic pathways could be potential targets for GC patients with high immune infiltration but resistance to ICI therapy.

A novel localization device for small pulmonary nodules in thoracoscopic wedge resection with adequate margin distance: a retrospective study.

Background: Thoracoscopic wedge resection of small pulmonary nodules (SPNs) is a common surgical procedure. Adequate surgical margin distance is challenging and key to successful resection for malignant nodules. The aim of this study was to evaluate the feasibility of a novel localization needle in wedge resection for SPNs with adequate margin distance. Methods: A retrospective review of needle localization cases from November 2021 to August 2022 was performed, in which 58 patients who underwent modified computed tomography (CT)-guided needle localization following thoracoscopic wedge resection were enrolled. Nodules were localized by placing a novel device characterized by a 4-hook anchor and a tricolored suture with a scale. The clinical characteristics were collected to evaluate the feasibility of the procedure in obtaining a sufficient margin distance. Results: A total of 68 SPNs were collected, and the median size of SPNs was 10.0 mm with a median depth of 18.9 mm. Needle localization was successful in 65 nodules (95.6%), and all nodules were completely removed. The median resection margin distance was 14 mm (range, 8-26 mm). There were 62 (91.2%) SPNs with a margin distance to tumor size ratio ≥1, 38 (92.7%) SPNs with a depth <20 mm, and 24 (88.9%) SPNs with a depth ≥20 mm, respectively. Regardless of the nodule depth, the median resection margin distances were both 14 mm. Conclusions: This study indicated that modified preoperative CT-guided 4-hook needle with scaled suture localization is a safe, efficient strategy for the wedge resection of SPNs via thoracoscopic surgery. Furthermore, it was considerably advantageous for obtaining adequate margins distance, especially for deep nodules.

Synthesizing the complex orbital-angular-momentum spectrum of hybrid modes existed in a few-mode fiber.

In this study, a simple and reliable method enabling to well synthesize the complex orbit-angular-momentum (OAM) spectrum of hybrid mode in a few-mode fiber is proposed and numerically demonstrated, which is realized by using the so-called inverse scattering method based on the genetic algorithm (GA), where the main Fourier components of a specially-selected ring in intensity distribution of the hybrid mode is used as the optimization objective. As a proof-of-concept example, power spectrum of a hybrid mode consisted of the first- and second-order OAM modes was successfully reconstructed with an accuracy higher than 0.99. This is the first time, to the best of our knowledge, that the complex OAM spectrum of a fiber hybrid mode consisted of more than two kinds of OAM modes is synthesized directly from the intensity distribution of the hybrid mode itself.

Schlafen family is a prognostic biomarker and corresponds with immune infiltration in gastric cancer.

The Schlafen (SLFN) gene family plays an important role in immune cell differentiation and immune regulation. Previous studies have found that the increased SLFN5 expression in patients with intestinal metaplasia correlates with gastric cancer (GC) progression. However, no investigation has been conducted on the SLFN family in GC. Therefore, we systematically explore the expression and prognostic value of SLFN family members in patients with GC, elucidating their possible biological function and its correlation with tumor immune cells infiltration. TCGA database results indicated that the SLFN5, SLFN11, SLFN12, SLFN12L, and SLFN13 expression was significantly higher in GC. The UALCAN and KM plotter databases indicated that enhanced the SLFN family expression was associated with lymph node metastasis, tumor stage, and tumor grade and predicted an adverse prognosis. cBioportal database revealed that the SLFN family had a high frequency of genetic alterations in GC (about 12%), including mutations and amplification. The GeneMANIA and STRING databases identified 20 interacting genes and 16 interacting proteins that act as potential targets of the SLFN family. SLFN5, SLFN11, SLFN12, SLFN12L, and SLFN14 may be implicated in the immunological response, according to Gene Set Enrichment Analysis (GSEA) and Kyoto Encyclopedia of Genes and Genomes (KEGG). Additionally, Timer and TISIDB databases indicate that SLFN5, SLFN11, SLFN12, SLFN12L, and SLFN14 are involved in the immune response. Furthermore, Timer, TCGA, and TISIDB databases suggested that the SLFN5, SLFN11, SLFN12, SLFN12L, and SLFN14 expression in GC is highly linked with immune cell infiltration levels, immune checkpoint, and the many immune cell marker sets expression. We isolated three samples of peripheral blood mononuclear cell (PBMC) and activated T cells; the results showed the expression of SLFN family members decreased significantly when T cell active. In conclusion, the SLFN family of proteins may act as a prognostic indicator of GC and is associated with immune cell infiltration and immune checkpoint expression in GC. Additionally, it may be involved in tumor immune evasion by regulating T cell activation.

Organoids From Mucinous Appendiceal Adenocarcinomas as High-Fidelity Models for Individual Therapy.

Background: Mucinous appendiceal adenocarcinoma (MAA) is a rare, heterogeneous disease. Patients with unrespectable mucinous appendiceal adenocarcinoma presenting with peritoneal spread are treated by intraperitoneal chemotherapy, hyperthermic intraperitoneal chemotherapy, systemic chemotherapy, or targeted therapy. However, there are no guidelines for efficacious drugs against mucinous appendiceal adenocarcinoma. Therefore, relevant high-fidelity models should be investigated to identify effective drugs for individual therapy. Methods: Surgical tumor specimens were obtained from a mucinous appendiceal adenocarcinoma patient. The tissue was digested and organoid culture was established. H&E and immunohistochemistry staining as well as DNA sequencing was performed on tissue and organoid. The pathological characteristics and gene mutations of the organoid were compared to those of the original tumor. Drug sensitivity tests were performed on organoid and the patient clinical responds to chemotherapy and targeted therapy was compared. Results: Organoids were successfully established and stably passaged. Pathological characteristics of organoids including H&E staining and expression of protein markers (CK20, CDX-2, STAB2, CD7, PAX8) were consistent to those of the original tumor. Moreover, the organoids carried the same gene mutations as the primary tumor. Sensitivity of the organoids to chemotherapeutic drugs and tyrosine kinase inhibitors included: 5-FU (IC50 43.95 µM), Oxaliplatin (IC50 23.49 µM), SN38 (IC50 1.02 µM), Apatinib (IC50 0.10 µM), Dasatinib (IC50 2.27 µM), Docetaxel (IC50 5.26 µM), Regorafenib (IC50 18.90 µM), and Everolimus (IC50 9.20 µM). The sensitivities of organoid to these drugs were comparable to those of the patient's clinical responses. Conclusion: The mucinous appendiceal adenocarcinoma organoid model which retained the characteristics of the primary tumor was successfully established. Combined organoid-based drug screening and high throughput sequencing provided a promising way for mucinous appendiceal adenocarcinoma treatment.

ITGAL as a Prognostic Biomarker Correlated With Immune Infiltrates in Gastric Cancer.

Integrin alpha L (ITGAL) is a member of the integrin family in which the abnormal expression is linked with carcinogenesis and immune regulation. However, the relation between ITGAL and the prognosis of gastric cancer (GC) and tumor-infiltrating lymphocytes (TILs) are not well understood. The differential expressions of ITGAL in human tumors and the clinical prognosis in GC were systematically analyzed via multiple databases including Gene Expression Profiling Interaction Analysis (GEPIA), UALCAN, Tumor Immune Estimation Resource (TIMER), and Kaplan-Meier (KM) plotter. TIMER, GEPIA, and TISIDB databases were used to comprehensively investigate the correlation between ITGAL and tumor infiltration immune cells. Also, further results were investigated by immunohistochemistry, qRT-PCR, and Western blot. We found that ITGAL expression in GC samples was considerably increased than in peritumor samples. Sample type, subgroup, cancer stage, lymphatic node stage, and worse survival were strongly related to high ITGAL expression. Moreover, upregulated ITGAL expression was strongly connected with immunomodulators, chemokines, and infiltrating levels of CD8+, CD4+ T cell, B cell, monocyte, neutrophil, macrophage, T-cell regulatory, NK cell, and myeloid dendritic cell in stomach adenocarcinoma (STAD). Specifically, immunohistochemistry and bioinformatic analysis showed that ITGAL expression was shown to have strong relationships with various immunological marker sets including PD1 (T-cell exhaustion marker). In conclusion, ITGAL is a prognostic biomarker for GC patients. It might regulate tumor immune microenvironment leading to poor prognosis. Furthermore, studies are essential to explore therapeutic targeting ITGAL.

Identification of a Two-Gene Signature and Establishment of a Prognostic Nomogram Predicting Overall Survival in Diffuse-Type Gastric Cancer.

BACKGROUND: It is widely acknowledged that the molecular biological characteristics of diffuse-type gastric cancer are different from intestinal-type gastric cancer. Notwithstanding that significant progress in high-throughput sequencing technology has been made, there is a paucity of effective prognostic biomarkers for diffuse gastric cancer for clinical practice. METHODS: We downloaded four GEO datasets (GSE22377, GSE38749, GSE47007 and GSE62254) to establish and validate a prognostic two-gene signature for diffuse gastric cancer. The TGCA-STAD dataset was used for external validation. The optimal gene signature was established by using Cox regression analysis. Receiver operating characteristic (ROC) methodology was used to find the best prognostic model. Gene set enrichment analysis was used to analyze the possible signaling pathways of the two genes (MEF2C and TRIM15). RESULTS: A total of four differently expressed genes (DEGs) (two upregulated and two downregulated) were identified. After a comprehensive analysis, two DEGs (MEF2C and TRIM15) were utilized to construct a prognostic model. A prognostic prediction model was constructed according to T stage, N stage, M stage and the expression of MEF2C and TRIM15. The area under the time-dependent receiver operator characteristic was used to evaluate the performance of the prognosis model in the GSE62254 dataset. CONCLUSIONS: We demonstrated that MEF2C and TRIM15 might be key genes. We also established a prognostic nomogram based on the two-gene signature that yielded a good performance for predicting overall survival in diffuse-type gastric cancer.

Prognostic Value of the Red Cell Distribution Width in Patients with Sepsis-Induced Acute Respiratory Distress Syndrome: A Retrospective Cohort Study.

OBJECTIVE: The prognostic value of the red cell distribution width (RDW) in patients with sepsis-induced acute respiratory distress syndrome (ARDS) is still elusive. This study is aimed at determining whether RDW is a prognostic indicator of sepsis-induced ARDS. METHODS: This retrospective cohort study included 1161 patients with sepsis-induced ARDS. The datasets were acquired from the Medical Information Mart for Intensive Care III database. The locally weighted scatter-plot smoothing technique, Cox regression, Kaplan-Meier estimator, and subgroup analysis were carried out to evaluate the association between RDW and 90-day mortality. RESULTS: The RDW and mortality had a roughly linear increasing relationship. The Cox regression model results were as follows: for level 2 (14.5% < RDW < 16.2%), hazard ratio (HR) = 1.35, 95% confidence interval (CI) = 1.03-1.77, and for level 3 (RDW ≥ 16.2%), HR = 2.07, 95% CI = 1.59-2.69. The following results were obtained when RDW was treated as a continuous variable: HR = 1.11, 95%CI = 1.06-1.15. The P values of the interaction between the RDW and covariates were greater than 0.05. CONCLUSION: RDW is a new independent prognostic marker for patients with sepsis-induced ARDS.

Overexpression of ZNF460 predicts worse survival and promotes metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer.

Zinc finger proteins (ZNFs) are a class of protein containing zinc finger domains, and they play an important role in tumor progression. However, as a member of the ZNFs family, the effect of ZNF460 in colon cancer remains unclear. In this study, we found that the expression of ZNF460 protein were markedly increased in clinical colon cancer tissues compared with para-cancer non-cancerous tissues by tissue immunohistochemistry (IHC) and western blot (WB). We also confirmed this result at the mRNA and protein levels of ZNF460 through bioinformatics analysis. In addition, high expression of ZNF460 was correlated with increased depth of invasion (P<0.05), increased lymph node metastasis (P<0.05), distant metastasis (P<0.05) and high blood serum CA19-9 level (P<0.05). High expression of ZNF460 predicted poor overall survival (OS) and recurrence free survival (RFS) in patients with colon cancer. Moreover, multivariate analyses revealed that ZNF460 was an independent prognostic factor in both OS (hazard ratio [HR]: 1.636; 95% confidence interval [CI], 1.028-2.603; P = 0.038) and RFS (HR: 2.215; 95% CI: 1.227-3.997; P = 0.008). The knockdown of ZNF460 suppressed the invasion and metastasis of colon cancer cells in vitro. Mechanistically, we revealed that ZNF460 promotes the activation of the JAK2/STAT3 signaling pathway in colon cancer cells. Taken together, overexpression of ZNF460 predicted worse survival and promoted metastasis through JAK2/STAT3 signaling pathway in patient with colon cancer, and could be a novel therapeutic target in colon cancer.

Hyperphosphatemia rather than hypophosphatemia indicates a poor prognosis in patients with sepsis.

BACKGROUND: Sepsis is the leading cause of hospitalization and death in the intensive care unit. It is vital to identify high-risk patients with poor prognosis in the early stages of sepsis. We aimed to investigate the prognostic value of serum phosphorus levels for sepsis. METHODS: The data of 4767 patients with sepsis were collected from the Multiparameter Intelligent Monitoring in Intensive Care III database. The Locally Weighted Scatterplot Smoothing technique and Kaplan-Meier analysis were used to test the crude relationship between serum phosphorus levels and mortality or overall survival. The multivariable logistic regression was used to further analyze the relationship between serum phosphorus levels and in-hospital mortality. The subgroup analysis was performed according to renal failure, use of vasopressin and the Sequential Organ Failure Assessment (SOFA) score. RESULTS: Only hyperphosphatemia significantly correlated with in-hospital mortality [odds ratio (OR) 1.48; 95% confidence interval (CI) 1.19-1.85], while the correlation between hypophosphatemia and in-hospital mortality was not significant (OR 0.91; 95% CI 0.70-1.19). The interactions between serum phosphorus and renal failure, use of vasopressin or the SOFA score were not significant. CONCLUSIONS: Hyperphosphatemia rather than hypophosphatemia indicates a poor prognosis in patients with sepsis.

Genomic monitoring of SARS-CoV-2 uncovers an Nsp1 deletion variant that modulates type I interferon response.

The SARS-CoV-2 virus, the causative agent of COVID-19, is undergoing constant mutation. Here, we utilized an integrative approach combining epidemiology, virus genome sequencing, clinical phenotyping, and experimental validation to locate mutations of clinical importance. We identified 35 recurrent variants, some of which are associated with clinical phenotypes related to severity. One variant, containing a deletion in the Nsp1-coding region (Δ500-532), was found in more than 20% of our sequenced samples and associates with higher RT-PCR cycle thresholds and lower serum IFN-ß levels of infected patients. Deletion variants in this locus were found in 37 countries worldwide, and viruses isolated from clinical samples or engineered by reverse genetics with related deletions in Nsp1 also induce lower IFN-ß responses in infected Calu-3 cells. Taken together, our virologic surveillance characterizes recurrent genetic diversity and identified mutations in Nsp1 of biological and clinical importance, which collectively may aid molecular diagnostics and drug design.

Mixed lead source precursors for producing light absorption layers of perovskite solar cells.

Beside the conventional perovskite precursors with lead halides as lead sources, non-halide lead sources provide additional tools for tuning the properties of perovskite layers, and lead acetate is a promising candidate for non-halide lead sources. In this work, we develop the perovskite precursor with a mixed non-halide lead source by partially replacing lead acetate with lead thiocyanate. Scanning electron microscopy and X-ray diffraction measurements indicate that lead thiocyanate additive can remarkably increase the size of perovskite grains and the crystallization of perovskite layers. And the cross-sectional investigation illustrates that the penetration of perovskite materials into TiO2 porous layers also can be improved by the lead thiocyanate additive. As a consequence, the recombination process and charge extraction process of devices are improved. By optimizing the quantity of lead thiocyanate, the power conversion efficiency of devices is increased from 14.0% to 17.2%, and the stability of devices is elevated simultaneously.

Non-intubated video-assisted thoracoscopic surgery vs. intubated video-assisted thoracoscopic surgery for thoracic disease: a systematic review and meta-analysis of 1,684 cases.

BACKGROUND: Non-intubated video-assisted thoracoscopic surgery (NIVATS) has been increasingly used in lobectomy, bullectomy, wedge resection, lung volume reduction, sympathectomy and talc pleurodesis, which may reduce postoperative complications. However, the benefits of non-intubated and intubated methods of VATS remain controversial. METHODS: We comprehensively searched PubMed, Web of Science, Embase and the Cochrane Library, and performed a systematic review to assess the two techniques. Random and fixed-effects meta-analytical models were used based on the low between-study heterogeneity. Study quality, publication bias, and heterogeneity were assessed. RESULTS: Compared to intubated methods, NIVATS had a lower postoperative complications rate [odds ratio (OR): 0.63; 95% confidence interval (CI), 0.46-0.86; P<0.01], shorter global in-operating time [weighted mean difference (WMD): -35.96 min; 95% CI, -48.00 to -23.91; P<0.01], shorter hospital stay (WMD: -1.35 days; 95% CI, -1.72 to -0.98; P<0.01), shorter anesthesia time (WMD: -7.29 min; 95% CI, -13.30 to -1.29; P<0.01), shorter chest-tube placement time (WMD: -1.04 days; 95% CI, -1.75 to -0.33; P<0.01), less chest pain (WMD: -1.31; 95% CI, -2.45 to -0.17; P<0.05) and lower perioperative mortality rate (OR: 0.13; 95% CI, 0.02-0.99; P=0.05). CONCLUSIONS: NIVATS is a safe, efficient and feasible technique for thoracic surgery and may be a better alternative procedure owing to its advantage in reducing postoperative complications rate, hospital stay, and chest pain.

[Analysis of Flame Spectrum at the Initial Stage of 0 # Diesel Oil Combustion].

With small-scale oil pool experimental and spectral analysis method, the flame spectrum in initial stage of 0(#) diesel oil combustion was conducted a preliminary study for the first time, which was used to develop the technique of intelligent identification and suppression of fire extinguishing at the initial stage of diesel oil combustion. It educed the overall characteristics flame spectrum at the initial stage of 0(#) diesel oil combustion: in 200～380 nm wavelength of near-ultraviolet bands, the spectral intensity is the weakest, the spectral intensity does not change with wavelength, the number of characteristics spectral bands is minimum, the number of obvious characteristics spectral peaks is almost none; in 380～780 nm wavelength of visible bands, the spectral intensity is the strongest, the spectral intensity increases with wavelength, the number of characteristics spectral bands is maximum, the number of obvious characteristics spectral peaks is large; in 780～1 100 nm wavelength of near-infrared bands, the spectral intensity is relatively strong, the inflection point of spectral intensity appears in 780 nm, the appeared intensity decreases with wavelength, the number of characteristics spectral bands is relatively large, the number of obvious characteristics spectral peaks is at a certain number. It is educed through further analysis of the flame spectrum that: the primary intermediate radicals includes OH, CN, CH, C(2), H(2)O, etc; the primary characteristic spectral bands includes the OH racial bands of 3 064  System and Vibration-Rotation bands, the CN racial bands of Violet System and Red System, the CH racial bands of 4 315  System, the C2 racial bands of The Swan system and Phillips Near Infra-red System, the H(2)O molecular Vibration-Rotation bands, etc; the bands and time distribution of primary intermediate radicals and its main generation mechanism; the existence of potassium in this experimental batches of 0(#) diesel oil and the spectral peak of spectral lines in 766 and 769 nm is obvious; the peak of spectral intensity in 431, 512, 516, 547, 589, 766, 769, 891, 927 nm is obvious, and it suitable for the sign of flame identification at the initial stage of 0(#) diesel oil combustion.

CD16 and CD32 Gene Polymorphisms May Contribute to Risk of Idiopathic Thrombocytopenic Purpura.

BACKGROUND Epidemiological studies have evaluated the associations of CD16 158F>V and CD32 131H>R gene polymorphisms with the risk of idiopathic thrombocytopenic purpura (ITP). MATERIAL AND METHODS Published studies on CD16 158F>V and CD32 131H>R polymorphisms with susceptibility to ITP were systematically reviewed until April 1, 2014. The Cochrane Library Database, Medline, CINAHL, EMBASE, Web of Science, and Chinese Biomedical Database (CBM) were used to search for relevant studies and then a meta-analysis was conducted by using Stata 12.0 software in order to produce consistent statistical results. RESULTS In total, 10 clinical case-control studies with 741 ITP patients and 1092 healthy controls were enrolled for quantitative data analysis. Results of this meta-analysis suggest that CD16 158F>V polymorphism had strong correlations with the susceptibility to ITP under 5 genetic models (all P<0.05). However, no similar associations were found between CD32 131H>R polymorphism and the susceptibility to ITP (all P>0.05). Subgroup analysis by ethnicity revealed that CD16 158F>V polymorphism was associated with the increased risk of ITP among both Caucasian and non-Caucasian populations. Nevertheless, no statistically significant correlations between CD32 131H>R polymorphism and the risk of ITP were observed among Caucasians and non-Caucasians (all P>0.05). CONCLUSIONS Our findings indicate that CD16 158F>V polymorphism may contribute to the increased risk of ITP, whereas CD32 131H>R polymorphism may not be an important risk factor for ITP.

[Sporadic cutaneous infections due to nontuberculous mycobacteria: a retrospective study of 37 cases].

OBJECTIVE: To study the clinical and pathological characteristics of sporadic cutaneous infections due to nontuberculous mycobacteria (NTM), and investigate the diagnostic criteria and therapeutic principal. METHODS: Totally 37 cases of sporadic cutaneous infections due to NTM were confirmed in the Department of Dermatology, Peking University People's Hospital from January 2000 to March 2014. The microbiologic and clinical data were reviewed, and their skin biopsy specimens were reassessed. RESULTS: Of all the 37 patients, 30 cases were Mycobacterium marinum infection, 6 were Mycobacterium abscessus infection, and one was Mycobacterium chelonea and Mycobacterium fortuitum infection. Identification of mycobacterial species by analysis of hsp65 gene in tissue DNA was more sensitive than traditional bacterial culture. The most common risk factors were traumatic injuries (21 of 37) and aquarium or fish-related job (21 of 37). One case of Mycobacterium abscessus infection occurred after autologous fat filling. Nodule and plaque were most common lesions in Mycobacterium marinum infection. Twenty-four of the 30 cases of Mycobacterium marinum infection presented with multiple lesions or sporotrichoid spread lesions. Ulceration, papules, abscess, and purulent discharge were observed in cases of Mycobacterium abscessus infection. Infective granuloma was most common histopathological appearance. For the treatment of Mycobacterium marinum infection, rifampin, ethambutol, and clarithromycin were commonly used (combination of two antibiotics, or three antibiotics), with the cure rate 90.00%. Four of the six Mycobacterium abscessus infections cases were cured, and one patient died. CONCLUSION: The most common species of sporadic cutaneous infections due to NTM is Mycobacterium marinum. Traumatic injuries, aquarium or fish-related job, and cosmetic surgeries are common risk factors. Mycobacterium marinum infection often presents with nodules, plaques, and sometimes sporotrichoid spread lesions. Lesions of Mycobacterium abscessus infection may vary. Pathological changes were not species specific, final diagnosis must be made depending on the identification of the microorganism. For the treatment of Mycobacterium marinum infection, excellent outcomes can be achieved by the combination of rifampin and ethambutol, and the combination of clarithromycin and rifampin or ethambutoland. Treatment regimens of Mycobacterium abscessus infection should be decided according to the results of antibiotic susceptibility testing.