FSTL3 is associated with prognosis and immune cell infiltration in lung adenocarcinoma.

PURPOSE: FSTL3 expression is altered in various types of cancer. However, the role and mechanism of action of FSTL3 in lung adenocarcinoma development and tumor immunity are unknown. We investigated the association between FSTL3 expression and clinical characteristics and immune cell infiltration in lung adenocarcinoma samples from The Cancer Genome Atlas (TCGA) and a separate validation set from our hospital. METHODS: Data on immune system infiltration, gene expression, and relevant clinical information were obtained by analyzing lung adenocarcinoma sample data from TCGA database. Using online tools like GEPIA, the correlations between FSTL3 expression and prognosis, clinical stage, survival status, and tumor-infiltrating immune cells were examined. In a validation dataset, immunohistochemistry was performed to analyze FSTL3 expression and its related clinical characteristics. RESULTS: FSTL3 expression was markedly reduced in patients with lung adenocarcinoma. N stage, pathological stage, and overall survival were significantly correlated with FSTL3 expression. According to GSEA, FSTL3 is strongly linked to signaling pathways such as DNA replication and those involved in cell cycle regulation. Examination of TCGA database and TIMER online revealed a correlation between FSTL3 and B cell, T cell, NK cell, and neutrophil levels. The prognosis of patients with lung adenocarcinoma was significantly affected by six genes (KRT6A, VEGFC, KRT14, KRT17, SNORA12, and KRT81) related to FSTL3. CONCLUSION: FSTL3 is significantly associated with the prognosis and progression of lung adenocarcinoma and the infiltration of immune cells. Thus, targeting FSTL3 and its associated genes in immunotherapy could be potentially beneficial for the treatment of lung adenocarcinoma.

A tricarboxylic acid cycle-based machine learning model to select effective drug targets for the treatment of esophageal squamous cell carcinoma.

Background: The tricarboxylic acid cycle (TCA cycle) is an important metabolic pathway and closely related to tumor development. However, its role in the development of esophageal squamous cell carcinoma (ESCC) has not been fully investigated. Methods: The RNA expression profiles of ESCC samples were retrieved from the TCGA database, and the GSE53624 dataset was additionally downloaded from the GEO database as the validation cohort. Furthermore, the single cell sequencing dataset GSE160269 was downloaded. TCA cycle-related genes were obtained from the MSigDB database. A risk score model for ESCC based on the key genes of the TCA cycle was built, and its predictive performance was evaluated. The association of the model with immune infiltration and chemoresistance were analyzed using the TIMER database, the R package "oncoPredict" score, TIDE score and so on. Finally, the role of the key gene CTTN was validated through gene knockdown and functional assays. Results: A total of 38 clusters of 8 cell types were identified using the single-cell sequencing data. The cells were divided into two groups according to the TCA cycle score, and 617 genes were identified that were most likely to influence the TCA cycle. By intersecting 976 key genes of the TCA cycle with the results of WGCNA, 57 genes significantly associated with the TCA cycle were further identified, of which 8 were screened through Cox regression and Lasso regression to construct the risk score model. The risk score was a good predictor of prognosis across subgroups of age, N, M classification and TNM stage. Furthermore, BI-2536, camptothecin and NU7441 were identified as possible drug candidates in the high-risk group. The high-risk score was associated with decreased immune infiltration in ESCC, and the low-risk group had better immunogenicity. In addition, we also evaluated the relationship between risk scores and immunotherapy response rates. Functional assays showed that CTTN may affect the proliferation and invasion of ESCC cells through the EMT pathway. Conclusion: We constructed a predictive model for ESCC based on TCA cycle-associated genes, which achieved good prognostic stratification. The model are likely associated with the regulation of tumor immunity in ESCC.

Enhanced CT-based radiomics model to predict natural killer cell infiltration and clinical prognosis in non-small cell lung cancer.

Background: Natural killer (NK) cells are crucial for tumor prognosis; however, their role in non-small-cell lung cancer (NSCLC) remains unclear. The current detection methods for NSCLC are inefficient and costly. Therefore, radiomics represent a promising alternative. Methods: We analyzed the radiogenomics datasets to extract clinical, radiological, and transcriptome data. The effect of NK cells on the prognosis of NSCLC was assessed. Tumors were delineated using a 3D Slicer, and features were extracted using pyradiomics. A radiomics model was developed and validated using five-fold cross-validation. A nomogram model was constructed using the selected clinical variables and a radiomic score (RS). The CIBERSORTx database and gene set enrichment analysis were used to explore the correlations of NK cell infiltration and molecular mechanisms. Results: Higher infiltration of NK cells was correlated with better overall survival (OS) (P = 0.002). The radiomic model showed an area under the curve of 0.731, with 0.726 post-validation. The RS differed significantly between high and low infiltration of NK cells (P < 0.01). The nomogram, using RS and clinical variables, effectively predicted 3-year OS. NK cell infiltration was correlated with the ICOS and BTLA genes (P < 0.001) and macrophage M0/M2 levels. The key pathways included TNF-α signaling via NF-κB and Wnt/ß-catenin signaling. Conclusions: Our radiomic model accurately predicted NK cell infiltration in NSCLC. Combined with clinical characteristics, it can predict the prognosis of patients with NSCLC. Bioinformatic analysis revealed the gene expression and pathways underlying NK cell infiltration in NSCLC.

Plasm Metabolomics Study in Pulmonary Metastatic Carcinoma.

Background: The lung is one of the most common metastatic sites of malignant tumors. Early detection of pulmonary metastatic carcinoma can effectively reduce relative cancer mortality. Human metabolomics is a qualitative and quantitative study of low-molecular metabolites in the body. By studying the plasm metabolomics of patients with pulmonary metastatic carcinoma or other lung diseases, we can find the difference in plasm levels of low-molecular metabolites among them. These metabolites have the potential to become biomarkers of lung metastases. Methods: Patients with pulmonary nodules admitted to our department from February 1, 2019, to May 31, 2019, were collected. According to the postoperative pathological results, they were divided into three groups: pulmonary metastatic carcinoma (PMC), benign pulmonary nodules (BPN), and primary lung cancer (PLC). Moreover, healthy people who underwent physical examination were enrolled as the healthy population group (HPG) during the same period. On the one hand, to study lung metastases screening in healthy people, PMC was compared with HPG. The multivariate statistical analysis method was used to find the significant low-molecular metabolites between the two groups, and their discriminating ability was verified by the ROC curve. On the other hand, from the perspective of differential diagnosis of lung metastases, three groups with different pulmonary lesions (PMC, BPN, and PLC) were compared as a whole, and then the other two groups were compared with PMC, respectively. The main low-molecular metabolites were selected, and their discriminating ability was verified. Results: In terms of lung metastases screening for healthy people, four significant low-molecular metabolites were found by comparison of PMC and HPG. They were O-arachidonoyl ethanolamine, adrenoyl ethanolamide, tricin 7-diglucuronoside, and p-coumaroyl vitisin A. In terms of the differential diagnosis of pulmonary nodules, the significant low-molecular metabolites selected by the comparison of the three groups as a whole were anabasine, octanoylcarnitine, 2-methoxyestrone, retinol, decanoylcarnitine, calcitroic acid, glycogen, and austalide L. For the comparison of PMC and BPN, L-tyrosine, indoleacrylic acid, and lysoPC (16 : 0) were selected, while L-octanoylcarnitine, retinol, and decanoylcarnitine were selected for the comparison of PMC and PLC. Their AUCs of ROC are all greater than 0.80. It indicates that these substances have a strong ability to differentiate between pulmonary metastatic carcinoma and other pulmonary nodule lesions. Conclusion: Through the research of plasm metabolomics, it is possible to effectively detect the changes in some low-molecular metabolites among primary lung cancer, pulmonary metastatic carcinoma, and benign pulmonary nodule patients and healthy people. These significant metabolites have the potential to be biomarkers for screening and differential diagnosis of lung metastases.

Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma.

BACKGROUND: CD8+ T cells are one of the central effector cells in the immune microenvironment. CD8+ T cells play a vital role in the development and progression of lung adenocarcinoma (LUAD). This study aimed to explore the key genes related to CD8+ T-cell infiltration in LUAD and to develop a novel prognosis model based on these genes. METHODS: With the use of the LUAD dataset from The Cancer Genome Atlas (TCGA), the differentially expressed genes (DEGs) were analyzed, and a co-expression network was constructed by weighted gene co-expression network analysis (WGCNA). Combined with the CIBERSORT algorithm, the gene module in WGCNA, which was the most significantly correlated with CD8+ T cells, was selected for the subsequent analyses. Key genes were then identified by co-expression network analysis, protein-protein interactions network analysis, and least absolute shrinkage and selection operator (Lasso)-penalized Cox regression analysis. A risk assessment model was built based on these key genes and then validated by the dataset from the Gene Expression Omnibus (GEO) database and multiple fluorescence in situ hybridization experiments of a tissue microarray. RESULTS: Five key genes (MZT2A, ALG3, ATIC, GPI, and GAPDH) related to prognosis and CD8+ T-cell infiltration were identified, and a risk assessment model was established based on them. We found that the risk score could well predict the prognosis of LUAD, and the risk score was negatively related to CD8+ T-cell infiltration and correlated with the advanced tumor stage. The results of the GEO database and tissue microarray were consistent with those of TCGA. Furthermore, the risk score was higher significantly in tumor tissues than in adjacent lung tissues and was correlated with the advanced tumor stage. CONCLUSIONS: This study may provide a novel risk assessment model for prognosis prediction and a new perspective to explore the mechanism of tumor immune microenvironment related to CD8+ T-cell infiltration in LUAD.

The increased expression and aberrant methylation of SHC1 in non-small cell lung cancer: Integrative analysis of clinical and bioinformatics databases.

Despite the previous evidence showing that SHC adaptor protein 1 (SHC1) could encode three distinct isoforms (p46SHC, p52SHC and p66SHC) that function in different activities such as regulating life span and Ras activation, the precise underlying role of SHC1 in lung cancer also remains obscure. In this study, we firstly found that SHC1 expression was up-regulated both in lung adenocarcinoma (LUAD) and in lung squamous cell carcinoma (LUSC) tissues. Furthermore, compared to patients with lower SHC1 expression, LUAD patients with higher expression of SHC1 had poorer overall survival (OS). Moreover, higher expression of SHC1 was also associated with worse OS in patients with stages 1 and 2 but not stage 3 lung cancer. Significantly, the analysis showed that SHC1 methylation level was associated with OS in lung cancer patients. It seemed that the methylation level at specific probes within SHC1 showed negative correlations with SHC1 expression both in LUAD and in LUSC tissues. The LUAD and LUSC patients with hypermethylated SHC1 at cg12473916 and cg19356022 probes had a longer OS. Therefore, it is reasonable to conclude that SHC1 has a potential clinical significance in LUAD and LUSC patients.

GBE1 Is an Independent Prognostic Marker and Associated With CD163+ Tumor-Associated Macrophage Infiltration in Lung Adenocarcinoma.

Glycogen branching enzyme (GBE1) is a critical gene that participates in regulating glycogen metabolism. However, the correlations between GBE1 expression and the prognosis and tumor-associated macrophages in lung adenocarcinoma (LUAD) also remain unclear. Herein, we firstly analyzed the expression level of GBE1 in LUAD tissues and adjacent lung tissues via The Cancer Genome Atlas (TCGA) database. The effect of GBE1 on prognosis was estimated by utilizing TCGA database and the PrognoScan database. The relationships between the clinical characteristics and GBE1 expression were evaluated via TCGA database. We then investigated the relationships between GBE1 and infiltration of immune cells in LUAD by utilizing the CIBERSORT algorithm and Tumor Immune Estimation Resource (TIMER) database. In addition, we used a tissue microarray (TMA) containing 92 LUAD tissues and 88 adjacent lung tissues with immunohistochemistry staining to verify the association between GBE1 expression and clinical characteristics, as well as the immune cell infiltrations. We found the expression level of GBE1 was significantly higher in LUAD tissues. High expression of GBE1 was associated with poorer overall survival (OS) in LUAD. In addition, high expression of GBE1 was correlated with advanced T classification, N classification, M classification, TNM stage, and lower grade. Moreover, GBE1 was positively correlated with infiltrating levels of CD163+ tumor-associated macrophages in LUAD. In conclusion, the expression of GBE1 is associated with the prognosis and CD163+ tumor-associated macrophage infiltration in LUAD, suggesting that it has potential to be prognostic and immunological biomarkers in LUAD.

LINC01089 Inhibits Tumorigenesis and Epithelial-Mesenchymal Transition of Non-small Cell Lung Cancer via the miR-27a/SFRP1/Wnt/ß-catenin Axis.

Long noncoding RNAs (lncRNAs) have emerged as regulators of gene expression and play critical regulatory roles in diverse biological functions and diseases, including cancer. In this study, we report the downregulation of LINC01089 in non-small cell lung cancer (NSCLC) samples, relative to adjacent non-tumor tissues, and demonstrate its role in the inhibition of proliferation, migration, and epithelial-mesenchymal transition (EMT) of NSCLC cells. Mechanistic analysis indicates that LINC01089 acts as a sponge for miR-27a, regulating its expression in NSCLC. Interestingly, LINC01089 mediated the upregulation of SFRP1 expression by inhibiting the Wnt/ß-catenin-EMT pathway and inhibiting the epithelial-mesenchymal transition of NSCLC via sponging miR-27a. Overall, our findings highlight LINC01089's tumorigenic role and regulatory mechanism in NSCLC, thereby suggesting its potential as a therapeutic target for managing NSCLC.

Long Noncoding RNA H19 Facilitates Small Cell Lung Cancer Tumorigenesis Through miR-140-5p/FGF9 Axis.

PURPOSE: Long noncoding RNAs (lncRNAs) are emerging as gene regulators to drive many important cancer phenotypes through interaction with microRNAs. There have been numerous data about upregulation of H19 and its strong oncogenic function in progression of cancers. However, the function and detailed mechanisms of H19 on small cell lung cancer (SCLC) are still unclear. METHODS: In this study, we investigated H19 expression in SCLC and para-carcinoma tissues. We also explored the function and detailed mechanisms of H19 on SCLC cells via RT-PCR, transwell assay, Western blot, dual-luciferase report assay and RNA pull-down experiments. RESULTS: In this study, we observed that H19 was upregulated in SCLC compared with para-carcinoma tissues or NSCLC tissues. We also uncovered that H19 could promote proliferation and migration of SCLC cells. Functional investigation illustrated that H19 acted as a sponge for miR-140-5p to regulate its expression in SCLC. Interestingly, we further found that H19 upregulated FGF9 expression to promote SCLC progression via sponging miR-140-5p. H19 and FGF9 were also revealed to have similar expression patterns in clinical SCLC samples. CONCLUSION: These data demonstrated that H19 might be a promising prognostic and therapeutic target for SCLC.

Prophylactic ligation of the thoracic duct branch prevents chylothorax after pulmonary resection for right lung cancer.

PURPOSE: Chylothorax is a rare and challenging complication of thoracic surgery. Whereas most current studies focus on postoperative treatment and preventative measures for esophageal cancer surgery, the current study investigates the impact of prophylactic ligation of the thoracic duct branch on postoperative chylothorax after pulmonary resection for right lung cancer. METHODS: The subjects of this retrospective study were 1165 patients who underwent right pulmonary resection and mediastinal lymph-node dissection in our department between January 2015 and August 2019. Those who underwent prophylactic ligation of the thoracic duct branch after 4R lymph-node dissection were assigned to group A (n = 475), and those who did not were assigned to group B (n = 690). The incidence of postoperative chylothorax, the success rate of conservative treatment, the postoperative hospital stay, and the chest drainage volume were recorded and compared statistically between the two groups. RESULTS: The incidence of postoperative chylothorax was significantly lower in group A than in group B (0.84% vs. 2.90%, p = 0.015). Patients who had a chylothorax in group A had a significantly shorter postoperative hospital stay, less mean drainage volume per day, and less total drainage than those in group B (7.25 ± 0.50 days vs. 11.00 ± 2.81 days, p = 0.003; 0.64 ± 0.04 L vs. 0.80 ± 0.09 L, p = 0.003; 4.64 ± 0.40 L vs. 8.82 ± 2.84 L; p = 0.002). The success rate of conservative treatment was higher in group A than in group B, but the difference was not significant (100% vs. 75.0%, p = 0.544). CONCLUSION: Performing prophylactic ligation of the thoracic duct branch during right pulmonary resection and mediastinal lymph-node dissection is an effective and safe method of preventing postoperative chylothorax.

Imaging Features and Clinical Decision Analysis of 110 Cases of Intrapulmonary Lymph Nodes.

OBJECTIVE: Through the summary and analysis of large samples, the characteristic imaging manifestations of intrapulmonary lymph nodes (IPLNs) were quantified, and two corresponding rating tables were developed. These rating tables could be used to distinguish the IPLNs from primary lung cancer, so as to improve the diagnostic accuracy and help clinicians make correct judgments and decisions. METHODS: A total of 82 patients with 110 IPLNs and 35 patients with primary lung cancer lesions were collected from June 2017 to December 2018. All lesions were solid nodules of less than 12 mm in diameter, which were confirmed by pathology. Observation indicators included location, size, shape, density, border and internal vacuoles of nodules, linear high-density shadow around the nodules, distance from the pleura, pleural indentation, and so on. RESULTS: There were statistically significant differences in the location, size, shape, internal vacuole of the nodules, and distance from the pleura (p < 0.05). The diagnostic scoring table of the nature of solid nodules and the malignant risk table were drawn. The nodule corresponding to Level A was most likely the primary lung cancer, and surgical resection was recommended. The nodule corresponding to Level C was most likely IPLNs, and it was better to receive no treatment currently. The positive predictive value was 81% (23/28), the negative predictive value was 97% (89/92), the sensitivity was 63% (23/35), and the specificity was 81% (89/110). CONCLUSION: For the pulmonary solid nodules of less than 12 mm in diameter and unknown nature, the evaluation in accordance with the Score Table and the Risk Level Table of this study can be more accurate and faster than the original judgment, which will help clinicians in diagnosis and treatment decisions.

Gefitinib versus Docetaxel in Treated Non-small-cell Lung Cancer: A Meta-analysis.

The objective of this study was to perform a meta-analysis to evaluate the efficacy and toxicity of gefitinib and docetaxel in treated patients with non-small-cell lung cancer (NSCLC). METHODS: A literature search was performed using PubMed and CNKI databases for relevant keywords and the Medical Subject Headings. After further full-text screening, 10 clinical trials were included in the final meta-analysis. Specific odds ratios (OR) and confidence intervals were calculated. RESULTS: The outcomes of treatment efficacy included disease control rates, quality-of-life improvement rates, 3~4 grade adverse events. Comparing gefitinib to docetaxel for NSCLC patients, the pooled odds ratios (OR) of disease control rates was 1.09, (95% confidential index [CI] = 0.84-1.43), the pooled OR of quality-of-life improvement rates was 2.49, (95% CI = 1.77-3.49), the pooled OR of 3~4 grade adverse events was 0.49, (95% CI = 0.32-0.75). CONCLUSION: Gefitinib was found to significantly improve patients' quality-of-life and obviously decrease patients' adverse events of 3~4 grade.There is no difference of disease control rates between gefitinib and docetaxel.

[Video-assisted Thoracoscope versus Video-assisted Mini-thoracotomy for Non-small Cell Lung Cancer: A Meta-analysis].

BACKGROUND: The aim of this study is to assess the effect of video-assisted thoracoscopic surgery (VATS) and video-assisted mini-thoracotomy (VAMT) in the treatment of non-small cell lung cancer (NSCLC). METHODS: We searched PubMed, EMbase, CNKI, VIP and ISI Web of Science to collect randomized controlled trials (RCTs) of VATS versus VAMT for NSCLC. Each database was searched from May 2006 to May 2016. Two reviewers independently assessed the quality of the included studies and extracted relevant data, using RevMan 5.3 meta-analysis software. RESULTS: We finally identified 13 RCTs involving 1,605 patients. There were 815 patients in the VATS group and 790 patients in the VAMT group. The results of meta-analysis were as follows: statistically significant difference was found in the harvested lymph nodes (SMD=-0.48, 95%CI: -0.80--0.17), operating time (SMD=13.56, 95%CI: 4.96-22.16), operation bleeding volume (SMD=-33.68, 95%CI: -45.70--21.66), chest tube placement time (SMD=-1.05, 95%CI: -1.48--0.62), chest tube drainage flow (SMD=-83.69, 95%CI: -143.33--24.05), postoperative pain scores (SMD=-1.68, 95%CI: -1.98--1.38) and postoperative hospital stay (SMD=-2.27, 95%CI: -3.23--1.31). No statistically significant difference was found in postoperative complications (SMD=0.83, 95%CI: 0.54-1.29) and postoperative mortality (SMD=0.95, 95%CI: 0.55-1.63) between videoassisted thoracoscopic surgery lobectomy and video-assisted mini-thoracotomy lobectomy in the treatment of NSCLC. CONCLUSIONS: Compared with video-assisted mini-thoracotomy lobectomy in the treatment of non-small cell lung cancer, the amount of postoperative complications and postoperative mortality were almost the same in video-assisted thoracoscopic lobectomy, but the amount of harvested lymph nodes, operating time, blood loss, chest tube drainage flow, and postoperative hospital stay were different. VATS is safe and effective in the treatment of NSCLC.
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MiR-33a suppresses proliferation of NSCLC cells via targeting METTL3 mRNA.

Methyltransferase like 3 (METTL3) was incipiently known as a methyltransferase which was responsible for N6-methyladenosine (m6A) methylation. METTL3 can promote the expression of several crucial oncoproteins and its high expression enhanced proliferation, survival, and invasion of human lung cancer cells. However, how METTL3 was regulated is seldom understood in non-small-cell lung carcinoma (NSCLC). In the present study, miR-33a was suspicious to target to the 3'-untranslated region (3'UTR) of METTL3 mRNA via in silico prediction. Besides, the expressions of METTL3 were higher in NSCLC tissues than those in adjacent tissues, and METTL3 expressions were positively related to the expressions of miR-33a in NSCLC tissues which confirmed by quantitative real-time polymerase chain reaction (qRT-PCR). MiR-33a can directly target to the 3'UTR of METTL3 mRNA which examined by luciferase reporter gene assay. Moreover, we found that miR-33a can reduce the expression of METTL3 at both mRNA and protein levels using reverse transcription-polymerase chain reaction (RT-PCR) and Western blot analysis. Functionally, miR-33a can reduce the proliferation of A549 and NCI-H460 cells. Conversely, inhibition of miR-33a by anti-miR-33a can rescue that using 4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) and 5-ethynyl-2-deoxyuridine (EdU) assay. Similarly, miR-33a can reduce cellular anchorage-independent growth of A549 cells. Additionally, the negative influences of miR-33a on the downstream genes of METTL3 were examined by Western blot analysis. Thus, we concluded that miR-33a can attenuate NSCLC cells proliferation via targeting to the 3'UTR of METTL3 mRNA. Our findings provide new insights into the mechanism of METTL3 regulation by micro RNA, and supports METTL3 as a therapeutic target in NSCLC.

miR-873 induces lung adenocarcinoma cell proliferation and migration by targeting SRCIN1.

microRNAs (miRNAs) are endogenously expressed, conserved and small noncoding RNA that regulate gene expression by the post-transcriptional level. In this study, we aim to examine the role of miR-873 in lung adenocarcinoma. We found that the expression of miR-873 was upregulated in four lung adenocarcinoma cell lines and tissues. In addition, the expression levels of SRCIN1 were inversely correlated with the expression levels of miR-873 in lung adenocarcinoma tissues. Furthermore, SRCIN1 was confirmed asthe direct target of miR-873 by luciferase reporter assay and Western blotting. Overexpression of miR-873 promoted the proliferation and migration of lung adenocarcinoma cells, while SRCIN1 upregulation inhibited their proliferation and migration. Restoration of SRCIN1 could significantly reverse the proliferation and migration promotion imposed by miR-873. In summary, this study reveals for the first time that miR-873 increase the lung adenocarcinoma cell proliferation and migration through directly inhibiting SRCIN1 expression.