Causal inference of the effect of plasma proteins on the incidence of oral cancer: two-sample Mendelian randomization.

OBJECTIVE: This study is aimed to investigate the causal relationship between plasma proteins and oral cancer risk using two-sample MR (Mendelian randomization). METHODS: Summary-level GWAS (genome-wide association study) data on plasma protein levels (4,907 proteins) and oral cancer (6,034 cases, 6,585 controls) of European ancestry were utilized. SNPs (single nucleotide polymorphisms) associated with proteins at genome-wide significance were selected as instrumental variables. Multiple MR methods including IVW (inverse-variance weighted), MR-Egger, weighted median, simple mode and weighted mode were applied to estimate causal effects. Sensitivity analyses were conducted. RESULTS: Eight plasma proteins (CCDC167, MID2, NDRG4, PEAR1, PIAS4, RCAN1, SAMHD1 and TNMD) were identified to have significant causal associations with oral cancer risk. NDRG4, RCAN1, SAMHD1 and TNMD were associated with increased oral cancer risk while PEAR1 was associated with decreased risk. The causal estimates were consistent across different methods. Sensitivity analyses indicated the results were robust without significant heterogeneity or horizontal pleiotropy. Multivariable MR adjusting for smoking, alcohol intake and periodontal disease showed CCDC167, MID2, NDRG4, PEAR1, PIAS4 and SAMHD1 still had direct effects on oral cancer. CONCLUSION: This two-sample MR study provides evidence for potentially causal effects of several plasma proteins on oral cancer risk. The identified proteins may serve as biomarkers and shed light on biological mechanisms underlying oral carcinogenesis. Further research is warranted to validate and extend these findings.

The antitumor effects of herbal medicine Triphala on oral cancer by inactivating PI3K/Akt signaling pathway: based on the network pharmacology, molecular docking, in vitro and in vivo experimental validation.

BACKGROUND: This research aimed to investigate the anti-tumor effects and underlying genetic mechanisms of herbal medicine Triphala (TRP) in oral squamous cell carcinoma (OSCC). METHODS: The target genes of Triphala (TRP) in oral squamous cell carcinoma (OSCC) were identified, and subsequent functional enrichment analysis was conducted to determine the enriched signaling pathways. Based on these genes, a protein-protein interaction network was constructed to identify the top 10 genes with the highest degree. Genes deregulated in OSCC tumor samples were identified to be hub genes among the top 10 genes. In vitro experiments were performed to investigate the influence of TRP extracts on the cell metabolic activity, migration, invasion, apoptosis, and proliferation of two OSCC cell lines (CAL-27 and SCC-9). The functional rescue assay was conducted to investigate the effect of applying the inhibitor and activator of an enriched pathway on the phenotypes of cancer cells. In addition, the zebrafish xenograft tumor model was established to investigate the influence of TRP extracts on tumor growth and metastasis in vivo. RESULTS: The target genes of TRP in OSCC were prominently enriched in the PI3K-Akt signaling pathway, with the identification of five hub genes (JUN, EGFR, ESR1, RELA, and AKT1). TRP extracts significantly inhibited cell metabolic activity, migration, invasion, and proliferation and promoted cell apoptosis in OSCC cells. Notably, the application of TRP extracts exhibited the capacity to downregulate mRNA and phosphorylated protein levels of AKT1 and ESR1, while concomitantly inducing upregulation of mRNA and phosphorylated protein levels in the remaining three hub genes (EGFR, JUN, and RELA). The functional rescue assay demonstrated that the co-administration of TRP and the PI3K activator 740Y-P effectively reversed the impact of TRP on the phenotypes of OSCC cells. Conversely, the combination of TRP and the PI3K inhibitor LY294002 further enhanced the effect of TRP on the phenotypes of OSCC cells. Remarkably, treatment with TRP in zebrafish xenograft models demonstrated a significant reduction in both tumor growth and metastatic spread. CONCLUSIONS: Triphala exerted significant inhibitory effects on cell metabolic activity, migration, invasion, and proliferation in OSCC cell lines, accompanied by the induction of apoptosis, which was mediated through the inactivation of the PI3K/Akt pathway.

A novel image deep learning-based sub-centimeter pulmonary nodule management algorithm to expedite resection of the malignant and avoid over-diagnosis of the benign.

OBJECTIVES: With the popularization of chest computed tomography (CT) screening, there are more sub-centimeter (≤ 1 cm) pulmonary nodules (SCPNs) requiring further diagnostic workup. This area represents an important opportunity to optimize the SCPN management algorithm avoiding "one-size fits all" approach. One critical problem is how to learn the discriminative multi-view characteristics and the unique context of each SCPN. METHODS: Here, we propose a multi-view coupled self-attention module (MVCS) to capture the global spatial context of the CT image through modeling the association order of space and dimension. Compared with existing self-attention methods, MVCS uses less memory consumption and computational complexity, unearths dimension correlations that previous methods have not found, and is easy to integrate with other frameworks. RESULTS: In total, a public dataset LUNA16 from LIDC-IDRI, 1319 SCPNs from 1069 patients presenting to a major referral center, and 160 SCPNs from 137 patients from three other major centers were analyzed to pre-train, train, and validate the model. Experimental results showed that performance outperforms the state-of-the-art models in terms of accuracy and stability and is comparable to that of human experts in classifying precancerous lesions and invasive adenocarcinoma. We also provide a fusion MVCS network (MVCSN) by combining the CT image with the clinical characteristics and radiographic features of patients. CONCLUSION: This tool may ultimately aid in expediting resection of the malignant SCPNs and avoid over-diagnosis of the benign ones, resulting in improved management outcomes. CLINICAL RELEVANCE STATEMENT: In the diagnosis of sub-centimeter lung adenocarcinoma, fusion MVCSN can help doctors improve work efficiency and guide their treatment decisions to a certain extent. KEY POINTS: • Advances in computed tomography (CT) not only increase the number of nodules detected, but also the nodules that are identified are smaller, such as sub-centimeter pulmonary nodules (SCPNs). • We propose a multi-view coupled self-attention module (MVCS), which could model spatial and dimensional correlations sequentially for learning global spatial contexts, which is better than other attention mechanisms. • MVCS uses fewer huge memory consumption and computational complexity than the existing self-attention methods when dealing with 3D medical image data. Additionally, it reaches promising accuracy for SCPNs' malignancy evaluation and has lower training cost than other models.

Controllable Adaptive Molybdate-Oligosaccharide Nanoparticles Regulate M2 Macrophage Mitochondrial Function and Promote Angiogenesis via PI3K/HIF-1α/VEGF Pathway to Accelerate Diabetic Wound Healing.

The complex wound environment of diabetic wounds leads to poor treatment efficacy, and the inflammatory disorders and vascular injury are the primary causes of death in such patients. Herein, a sprayable, controllable adaptive, pH-responsive nanosystem of molybdate and oligosaccharide (CMO) is specially developed as an immunomodulatory and angiogenesis-promotion material for diabetic wound healing. CMO exhibited pH-responsive release of Mo2+ and oligosaccharide (COS), specifically in response to the alkalescent environment observed in diabetic wounds. CMO provide an anti-inflammatory environment by promoting M2 polarization through significantly stimulating macrophage mitochondrial function. Specifically, CMO with a certain concentration reduce reactive oxygen species (ROS) and tumor necrosis factor α (TNF-α) expression, and upregulated mitochondrial membrane potential (MMP), superoxide dismutase (SOD), and interleukin 10 (IL-10) expression in macrophages. Moreover, CMO facilitate angiogenesis via upregulating the PI3K/HIF-1α/VEGF pathway-a critical process for the formation of new blood vessels that supply nutrients and oxygen to the healing tissue. Remarkably, CMO promote cell viability and migration of endothelial cells, and enhance the expression of angiogenic genes. In vitro and in vivo studies suggest this simple but powerful nanosystem targeting mitochondrial function has the potential to become an effective treatment for diabetic wound healing.

Dynamic monitoring of serum tumor markers as prognostic factors in patients with advanced non-small-cell lung cancer treated with first-line immunotherapy: a multicenter retrospective study.

Background: To date, no specific studies have reported the use of dynamic serum tumor markers (STMs) as prognostic factors in patients with advanced non-small-cell lung cancer (NSCLC) who receive first-line immunotherapy. Therefore, it is unclear whether STMs can be used as a prognostic factor for first-line immunotherapy in advanced NSCLC. Objectives: To elucidate the role of STMs in monitoring immunotherapy response in advanced NSCLC. Patients were treated with first-line programmed cell death-1/programmed cell death ligand-1 inhibitors at four Chinese centers. Design: This was a multicenter retrospective study. Methods: Blood samples were collected at baseline and after 6-8 weeks of treatment. Computed tomography scans were used to evaluate treatment efficacy according to Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Post-treatment drops in STMs [Serum carcinoembryonic antigen (CEA), neuron-specific enolase (NSE), cytokeratin fragment 19 (CYFRA21-1), carbohydrate antigen 19-9 (CA19-9), and carbohydrate antigen 125 (CA125)] were decreased ⩾20% (Group C) over baseline was used as cutoff level for defining a marker response. If STMs were increased by ⩾20% after treatment, the therapeutic effect was limited (Group A). Patients with STM changes between a 20% increase or decrease were enrolled in Group B. In univariate and multivariate stepwise Cox regression analyses, STMs and RECIST responses were analyzed for their impact on progression-free survival (PFS) and overall survival (OS). Results: The analysis included 716 patients. By multivariate analysis, CEA, NSE, CYFRA21-1, CA19-9, and CA125 (Group A versus Group B and Group A versus Group C) were associated with significant differences in PFS. Similar results were observed in the OS analysis. Similar results were observed in the adenocarcinoma subgroup analyses. In squamous cell carcinoma subgroup analyses, there was no statistical difference in PFS (p = 0.147) or OS (p = 0.068) between Group A and Group B for CA125. Conclusion: The increase and decrease in serum levels of STMs might be reliable prognostic factors for immunotherapy efficacy in NSCLC patients.

The genes regulating sensitivity of tumor cells to T cell-mediated killing: could they be potential personalized immunotherapeutic targets in head and neck squamous cell carcinoma?

OBJECTIVE: To identify the pivotal genes, specifically the STTK genes, that govern the sensitivity of tumor cells to T cell-mediated killing in Head and Neck Squamous Cell Carcinoma (HNSC). METHODS: The differentially expressed genes (DEGs) in HNSC and STTK genes were overlapped to obtain the DE-STTK genes. Univariate and LASSO regression analyses were conducted to identify the pivotal DE-STTK genes that serve as hubs in HNSC (i.e., hub DE-STTK genes). The risk model was established to divide HNSC tumor samples into high- and low-risk groups based on the hub DE-STTK genes. Further investigations were carried out by examing the expression level, prognostic values, diagnostic values, enriched signaling pathways, correlation with tumor mutation burden (TMB), and association with tumor immune infiltration cells (TIICs). RESULTS: A total of 71 genes were found to be overlapped between DEGs in HNSC and STTK genes. Lasso regression analysis identified 9 hub genes which were MYF6, AATF, AURKA, CXCL9, DPM2, MYO1B, NCBP2, TNFRSF12A, and TRAF1. The network analysis of hub DE-STTK genes-pathway reveals that these 9 hub genes exhibit enrichment in multiple signaling pathways, including toll-like receptor signaling, TNF signaling, NF-kappa B signaling, cytokine-cytokine receptor interaction, spliceosome, mRNA surveillance pathway, nucleocytoplasmic transport, GPI-anchor biosynthesis, as well as N-Glycan biosynthesis. The Pearson correlation analysis showed that the majority of correlations between 9 hub DE-STTK genes and immune cells were positive. CONCLUSION: The 9 identified hub DE-STTK genes (MYF6, AATF, AURKA, CXCL9, DPM2, MYO1B, NCBP2, TNFRSF12A, and TRAF1) are presumptively implicated in the modulation of tumor immunity in HNSC. These genes, along with their enriched pathways, hold promise as potential personalized immunotherapeutic targets for the treatment of HNSC, thereby offering novel avenues for therapeutic intervention in this malignancy.

Baseline serum tumor markers predict the survival of patients with advanced non-small cell lung cancer receiving first-line immunotherapy: a multicenter retrospective study.

BACKGROUND: This study aimed to investigate the association between baseline serum tumor markers (STMs) (carcinoembryonic antigen [CEA], neuron-specific enolase [NSE], cytokeratin-19 fragment [CYFRA21-1], carbohydrate antigen 19-9 [CA19-9], and carbohydrate antigen 125 [CA125]) and the efficacy of first-line immunotherapy in patients with advanced non-small cell lung cancer. METHODS: This multicenter retrospective study evaluated patients who received first-line immunotherapy between July 2017 and July 2022. The endpoints were progression-free survival (PFS) and overall survival (OS), as defined by the Response Evaluation Criteria in Solid Tumors version 1.1. We divided the patients into three groups based on STM levels: Group A ≥ threefold upper limit of normal, threefold upper limit of normal > Group B > upper limit of normal, and Group C ≤ upper limit of normal. RESULTS: In total, 716 patients were included in this study. In Cox proportional hazards analyses, the STM levels in Group C were independently associated with superior PFS and OS in patients with lung adenocarcinoma (LUAD). Except for CA19-9 level, the STM levels in Group C were independently associated with superior PFS and OS in patients with lung squamous carcinoma (LUSC). Except for CEA and CA19-9 levels, the levels in Group A were independently associated with inferior PFS and OS in patients with LUAD and LUSC. CONCLUSIONS: Serum CEA, NSE, CYFRA21-1, and CA125 levels can predict PFS and OS in patients with LUAD and LUSC, and serum CA19-9 levels can predict PFS and OS in patients with LUAD. The higher the serum NSE, CYFRA21-1, and CA125 levels, the worse the PFS and OS in patients with LUAD and LUSC. In addition, the higher the serum CA19-9 level, the worse the OS in patients with LUAD.

The oral microbiome in autoimmune diseases: friend or foe?

The human body is colonized by abundant and diverse microorganisms, collectively known as the microbiome. The oral cavity has more than 700 species of bacteria and consists of unique microbiome niches on mucosal surfaces, on tooth hard tissue, and in saliva. The homeostatic balance between the oral microbiota and the immune system plays an indispensable role in maintaining the well-being and health status of the human host. Growing evidence has demonstrated that oral microbiota dysbiosis is actively involved in regulating the initiation and progression of an array of autoimmune diseases.Oral microbiota dysbiosis is driven by multiple factors, such as host genetic factors, dietary habits, stress, smoking, administration of antibiotics, tissue injury and infection. The dysregulation in the oral microbiome plays a crucial role in triggering and promoting autoimmune diseases via several mechanisms, including microbial translocation, molecular mimicry, autoantigen overproduction, and amplification of autoimmune responses by cytokines. Good oral hygiene behaviors, low carbohydrate diets, healthy lifestyles, usage of prebiotics, probiotics or synbiotics, oral microbiota transplantation and nanomedicine-based therapeutics are promising avenues for maintaining a balanced oral microbiome and treating oral microbiota-mediated autoimmune diseases. Thus, a comprehensive understanding of the relationship between oral microbiota dysbiosis and autoimmune diseases is critical for providing novel insights into the development of oral microbiota-based therapeutic approaches for combating these refractory diseases.

Retraction Notice to: MTTL3 upregulates microRNA-1246 to promote occurrence and progression of NSCLC via targeting paternally expressed gene 3.

[This retracts the article DOI: 10.1016/j.omtn.2021.02.020.].

Comparison of Immunotherapy, Chemotherapy, and Chemoimmunotherapy in Advanced Pulmonary Lymphoepithelioma-Like Carcinoma： A Retrospective Study.

Pulmonary lymphoepithelioma-like carcinoma (pLELC) is a rare subtype of lung cancer that is associated with the Epstein-Barr virus in Asia. Due to the lack of prospective studies, the best first-line treatment and survival outcomes remain unclear. Herein, This study investigated the efficacy and safety of different treatment regimens for advanced pLELC. This retrospective study included 68 patients with advanced pLELC from two centers in China. Patients were divided into three groups according to different first-line treatments: chemotherapy (n=49, 72.1%), immunotherapy (n=7, 10.3%), and chemoimmunotherapy (n=12,17.6%). The primary endpoint of this study was the 2-year progression-free survival (PFS) of each group. The results show that the median PFS was 6.9 months (range, 2.3-not estimable) in the chemotherapy group, 11.0 months (range, 2-not estimable) in the immunotherapy group, and 11.8 months (range, 6-not estimable) in the chemoimmunotherapy group. There was a significant difference in 2-year PFS between the chemoimmunotherapy group and the chemotherapy group (hazard ratio, 0.38, 95% confidence interval: 0.18-0.78, log-rank P=0.007). The most frequent grade 3-4 adverse event in the chemotherapy and chemoimmunotherapy groups was myelosuppression (10/49 [22.4%] and 4/12 [33.3%], respectively). The most frequent grade 3-4 adverse events in the immunotherapy group were diarrhea (1/7, 14.8%) and hepatotoxicity (1/7, 14.8%). Chemoimmunotherapy had the highest 2-year PFS as a first-line treatment for advanced pLELC compared to chemotherapy and immunotherapy. This study suggests that chemoimmunotherapy may be the best first-line treatment for patients with advanced pLELC.

Survival rates of patients with tumors originating in different segments of the left upper lung in stage I to III non-small cell lung cancer.

BACKGROUND: The aim of this research was to evaluate the effect of spatial location of tumors on the prognosis of patients with left upper lung non-small cell lung cancer (NSCLC), with a focus on the S1+2+3 and lingual segment. METHODS: A total of 486 patients who underwent lobectomy and systematic lymph node dissection were collected retrospectively in this study (354 S1+2+3 and 132 lingual segment patients). Factors impacting survival were assessed via univariate analyses, multivariate analyses, and log-rank tests. RESULTS: Compared with tumor location in S1+2+3, lingual segment tumor location of stage II to III left upper lung NSCLC patients was significantly associated with a better 5-year disease-free survival (DFS) (P=0.041). Multivariate analysis results showed that tumor location in the lingual segment was a good independent prognostic factor of stage II to III left upper lung NSCLC patients [hazard ratio (HR) =0.602, 95% confidence interval (CI): 0.149-0.865, P=0.006). However, in stage I left upper lung NSCLC, tumor location (HR =1.069, 95% CI: 0.571-2.000, P=0.835) was not an independent prognostic factor, and only T2 (HR =2.422, 95% CI: 1.271-4.620, P=0.007) was an independent worse prognosis factor. CONCLUSIONS: Tumor location in the lingual segment of left upper lung stage II to stage III NSCLC is a good independent prognostic factor compared with S1+2+3. Nevertheless, tumor location does not impact the prognosis of patients with stage I NSCLC in the left upper lung.

MTTL3 upregulates microRNA-1246 to promote occurrence and progression of NSCLC via targeting paternally expressed gene 3.

Non-small cell lung cancer (NSCLC) is one of the major causes of morbidity and mortality worldwide. We aimed to investigate the role of N6-methyladenosine (m6A) methyltransferase-like 3 (METTL3) regulating microRNA-1246 (miR-1246) in the progression of NSCLC by targeting paternally expressed gene 3 (PEG3). METTL3, miR-1246, and PEG3 expression in tissues was assessed, and the predictive role of METTL3 in prognosis of patients with NSCLC was detected. NSCLC cells were relatively treated with altered expression of METTL3, miR-1246, or PEG3 to measure their roles in the proliferation, migration, invasion, apoptosis, and in vivo growth of the NSCLC cells. The RNA m6A level was determined, and the targeting relationship between miR-1246 and PEG3 was confirmed. Our results revealed that METTL3 and miR-1246 were upregulated, whereas PEG3 was downregulated in NSCLC tissues. METTL3 knockdown or PEG3 overexpression in NSCLC cells suppressed malignant behaviors of NSCLC cells. METTL3 affected the m6A modification of miR-1246, thus upregulating miR-1246 and miR-1246-targeted PEG3. The elevation of PEG3 reversed the effects of miR-1246 upregulation on NSCLC cells. This study revealed that m6A methyltransferase METTL3 affects the m6A modification of miR-1246, thus upregulating miR-1246 to promote NSCLC progression by inhibiting PEG3.

Oral Health-Related Quality of Life in Patients With Chronic Respiratory Diseases-Results of a Systematic Review.

Background: This systematic review evaluates the oral health-related quality of life (OHRQoL) of patients with chronic respiratory diseases. Methods: A systematic literature search was performed based on the PubMed, Medline, Web of Science, and Scopus, using the search terms: "oral health-related quality of life" and "respiratory disease" or "lung" and "oral health-related quality of life." Full-text articles published until June 30, 2021 and reporting any OHRQoL measurement in children or adults with a chronic respiratory disease or condition were included and analyzed qualitatively. Results: A total of seven out of 44 studies were included, of which four studies examined adults and three studies investigated children. The respective diseases were chronic obstructive pulmonary disease (COPD) (n = 2), sleep apnea (n = 2), severe asthma (n = 1), cystic fibrosis (n = 1), and lung transplantation (n = 1). Four studies confirmed a worse OHRQoL in the respiratory diseased group compared to healthy controls. The overall OHRQoL was reduced in the included studies. Oral health, health-related quality of life, and disease-related parameters were rarely examined with regard to OHRQoL. Conclusion: Patients with chronic respiratory diseases show a reduced OHRQoL. Oral health should be fostered in these individuals to support their OHRQoL.

Systemic immune microenvironment and regulatory network analysis in patients with lung adenocarcinoma.

BACKGROUND: This study applied a complex bioinformatics analysis to explore the hub regulators and immune network to further elucidate the molecular mechanisms of lung adenocarcinoma (LUAD) immune regulation. METHODS: LUAD immunological microenvironment features and microenvironment-related differential expression genes (DEGs) were identified by ESTIMATE algorithm and linear models for microarray analyses (LIMMA), respectively. CIBERSORT and Igraph algorithms were applied to construct the LUAD-related immunocyte infiltration and regulatory network. Kaplan-Meier survival analysis, and univariate and multivariate Cox analysis were used to predict independent risk factors and screen for the hub genes. In addition, hub genes-correlated gene set enrichment analysis (GSEA), tumor mutation burden (TMB), and clinic pathological relation analyses were also performed. RESULTS: Stromal, immune, and microenvironment comprehensive features (ESTIMATE score) were associated with overall survival (OS) in LUAD patients (all, P<0.05). T-cell activation, chemokine activity, and immune effect or dysfunction gene ontology maps were associated with the LUAD immune microenvironment. The immune infiltration cell subtypes mast cells (masT-cells) resting [The Cancer Genome Atlas (TCGA): P=0.01; Gene Expression Omnibus (GEO): P=1.79e-05] and activated T-cells (CD4 memory) (TCGA: P<0.01; GEO: P=8.52e-05) were found to have an important role in the immune cell regulatory network. Finally, ITGAL [univariate hazard ratio (HR) =0.80, 95% confidence interval (CI): 0.69-0.93, P<0.01; multivariate HR =0.59, 95% CI: 0.40-0.86, P=0.01] and KLRB1 (univariate HR =0.78, 95% CI: 0.69-0.89, P<0.01; multivariate HR =0.72, 95% CI: 0.58-0.90, P<0.01) were correlated with the T-cell receptor signaling pathway and anaplastic lymphoma kinase (ALK) fusion (ITGAL: P=0.034; KLRB1: P=0.050), and were considered as candidate biomarkers. A significant relation between KLRB1 expression level and TMB (P=3.6e-05) was identified, while no relation was detected for ITGAL (P=0.11). CONCLUSIONS: The T-cell activation and activated T-cell (CD4 memory) pathways were predominantly involved in LUAD immune microenvironment regulation. The expression levels of ITGAL and KLRB1 were significantly correlated with the T-cell receptor signaling pathway and LUAD TMB, and were independent risk factors for OS.

Desmoid-type fibromatosis of the chest wall: a case report.

Desmoid-type fibromatosis (DF), also known as deep fibromatosis or desmoid tumor, is an extremely rare neoplasm that develops from fascia and musculoaponeurotic tissue. These tumors are characterized by slow progressive growth, local invasion, and local recurrence after surgical excision, but they lack metastatic potential. DF accounts for 3.5% of all fibrous tumors, with an annual incidence of approximately 2-4/million. Until now, only a small number of cases have been found in the chest wall. Herein, we present a rare case of chest wall DF in a 43-year-old female, which was discovered accidentally due to a thoracic wall mass that extended outward from the sternum. Computed tomography scans revealed a subcutaneous soft tissue mass anterior to the sternum, which was considered to be a mesenchymal tumor or an inflammatory lesion. The patient underwent surgical excision of the mass. The mass was completely removed and all margins were negative. According to the pathological results, the patient was finally diagnosed as DF. Postoperative radiotherapy was suggested subsequently, especially considering the locally aggressive and infiltrative nature of the tumor. However, this was rejected by the patient, and biannual re-examination was recommended instead. Despite the absence of postoperative radiotherapy, there was no evidence of local recurrence 2 years later. We consider regular postoperative follow-up may be able to replace postoperative radiotherapy, and if there exist an opportunity to completely resect the mass, surgical is a worthwhile choice.

Cancer Cell Membrane Decorated Silica Nanoparticle Loaded with miR495 and Doxorubicin to Overcome Drug Resistance for Effective Lung Cancer Therapy.

Current cancer therapy usually succumbs to many extracellular and intracellular barriers, among which untargeted distribution and multidrug resistance (MDR) are two important difficulties responsible for poor outcome of many drug delivery systems (DDS). Here, in our study, the dilemma was addressed by developing a cancer cell membrane (CCM)-coated silica (SLI) nanoparticles to co-deliver miR495 with doxorubicin (DOX) for effective therapy of lung cancer (CCM/SLI/R-D). The homologous CCM from MDR lung cancer cells (A549/DOX) was supposed to increase the tumor-homing property of the DDS to bypass the extracellular barriers. Moreover, the MDR of cancer cells were conquered through downregulation of P-glycoprotein (P-gp) expression using miR495. It was proved that miR495 could significantly decrease the expression of P-gp which elevated intracellular drug accumulation in A549/DOX. The in vitro and in vivo results exhibited that CCM/SLI/R-D showed a greatly enhanced therapeutic effect on A549/DOX, which was superior than applying miR495 or DOX alone. The preferable effect of CCM/SLI/R-D on conquering the MDR in lung cancer provides a novel alternative for effective chemotherapy of MDR cancers.

Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.

BACKGROUND: Computed tomography (CT) is essential for pulmonary nodule detection in diagnosing lung cancer. As deep learning algorithms have recently been regarded as a promising technique in medical fields, we attempt to integrate a well-trained deep learning algorithm to detect and classify pulmonary nodules derived from clinical CT images. MATERIALS AND METHODS: Open-source data sets and multicenter data sets have been used in this study. A three-dimensional convolutional neural network (CNN) was designed to detect pulmonary nodules and classify them into malignant or benign diseases based on pathologically and laboratory proven results. RESULTS: The sensitivity and specificity of this well-trained model were found to be 84.4% (95% confidence interval [CI], 80.5%-88.3%) and 83.0% (95% CI, 79.5%-86.5%), respectively. Subgroup analysis of smaller nodules (<10 mm) have demonstrated remarkable sensitivity and specificity, similar to that of larger nodules (10-30 mm). Additional model validation was implemented by comparing manual assessments done by different ranks of doctors with those performed by three-dimensional CNN. The results show that the performance of the CNN model was superior to manual assessment. CONCLUSION: Under the companion diagnostics, the three-dimensional CNN with a deep learning algorithm may assist radiologists in the future by providing accurate and timely information for diagnosing pulmonary nodules in regular clinical practices. IMPLICATIONS FOR PRACTICE: The three-dimensional convolutional neural network described in this article demonstrated both high sensitivity and high specificity in classifying pulmonary nodules regardless of diameters as well as superiority compared with manual assessment. Although it still warrants further improvement and validation in larger screening cohorts, its clinical application could definitely facilitate and assist doctors in clinical practice.

MicroRNA-145 performs as a tumor suppressor in human esophageal squamous cell carcinoma by targeting phospholipase C epsilon 1.

Esophageal squamous cell carcinoma (ESCC) is the leading pathologic type in China. miR-145 has been reported to be downregulated in multiple tumors. This study was aimed to investigate the role of miR-145 in ESCC. miR-145 expression was investigated in 65 ESCC samples as well as four ESCC cell lines by quantitative real-time polymerase chain reaction (qRT-PCR). Targetscan 6.2 website (http://www.targetscan.org/) was used to predict the targets of miR-145. Expression of phospholipase C epsilon 1 (PLCE1) messenger RNA and protein was detected by qRT-PCR or Western blot. MTT and wound healing assay were conducted to explore the effects of miR-145 on the proliferation and migration of ESCC cell lines, respectively. miR-145 was significantly decreased in ESCC tissues. An inverse correlation between miR-145 and invasion depth and TNM stage were observed. PLCE1 was a direct target of miR-145, and the expression of PLCE1 was inversely correlated with miR-145 expression in ESCC tissues. In addition, overexpression of miR-145 suppressed cell proliferation and migration in ESCC cells. The enforced expression of PLCE1 partially reversed the suppressive effect of miR-145. These results prove that miR-145 may perform as a tumor suppressor in ESCC by targeting PLCE1.

PTEN inhibits non-small cell lung cancer cell growth by promoting G0/G1 arrest and cell apoptosis.

Non-small cell lung cancer (NSCLC) is a major type of human lung cancer and the primary cause of cancer-associated cases of mortality worldwide. Phosphatase and tensin homolog (PTEN) is a potent tumor suppressor gene in various human cancer types. The aim of the current study was to explore the role of PTEN and its associated regulatory mechanisms in NSCLC. Firstly, the expression of PTEN was detected using western blotting in a variety of NSCLC cell lines. The results revealed that compared with normal control cells, PTEN levels were significantly decreased in NSCLC cell lines (P<0.01). Short hairpin (sh)RNAs specific to PTEN were also used to knockdown endogenous PTEN in NSCLC cells. The results indicated that cell viability was significantly increased in PTEN-knockdown cells compared with those transfected with negative control shRNA (P<0.01). Conversely, overexpression of PTEN in A549 and SK-MES-1 cells significantly decreased the optical density of NSCLC cells (P<0.01). Flow cytometry was used to investigate the cell cycle; the results revealed that PTEN knockdown significantly increased the percentage of cells at G0/G1 phase (P<0.01) and decreased the number of cells at S phase (P<0.01). The molecular mechanism was further explored using western blotting and the results demonstrated that PTEN overexpression increased the levels of cleaved caspase-3 (P<0.01). These results suggest that PTEN may be a potential target gene for gene therapy in patients with NSCLCs.

Adrenalectomy does not improve survival rates of patients with solitary adrenal metastasis from non-small cell lung cancer.

BACKGROUND AND PURPOSE: Several case reports and studies have suggested that there is an increased survival rate for patients who undergo resection of solitary adrenal metastasis from non-small cell lung cancer (NSCLC). This study aimed to investigate whether NSCLC patients with solitary adrenal metastasis could gain a higher survival rate after adrenalectomy (ADX) when compared with those patients undergoing nonsurgical treatment, and to investigate the potential prognostic factors. PATIENTS AND METHODS: A total of 1,302 NSCLC inpatients' data from 2001 to 2015 were retrospectively reviewed to identify those with solitary adrenal metastasis. Overall survival for those who underwent both primary resection and ADX was compared to those patients with conservative treatment using the log-rank test. Potential prognostic variables were evaluated with univariate and multivariate analyses including clinical, therapeutic, pathologic, primary and metastatic data. RESULTS: A total of 22 NSCLC patients with solitary adrenal metastasis were identified, with an overall median survival of 11 months (95% confidence interval: 9.4-12.6 months) and a 1-year survival rate of 51.4% (95% confidence interval: 29.6%-73.2%). All of the patients had died by 30 months. There was no significant survival difference between patients who underwent primary and metastasis resection (n=10) and those treated conservatively (n=12), (P=0.209). Univariate analysis identified Eastern Cooperative Oncology Group performance status (ECOG PS) as the significant predictor of survival (P=0.024). Age (<65 vs ≥65 years), sex, pathologic type, mediastinal lymph node stage (N2 vs N0/N1), primary tumor size (<5 vs ≥5 cm), primary location (central vs peripheral), metastatic tumor size (<5 vs ≥5 cm), metastasis laterality, synchronous metastasis, and metastatic field radiotherapy were not identified as potential prognostic factors in relation to survival rate. In multivariate analysis, a stepwise selection procedure allowed both ECOG PS (P=0.007, relative risk =3.57) and pathologic type (P=0.069) to enter the Cox's hazard function. CONCLUSION: Primary and metastatic radical resection may not prolong the survival of NSCLC patients with solitary adrenal metastasis. ECOG PS and pathologic type might be the prognostic factors for these patients.