Eosinophilic bronchiectasis increases length and cost of hospitalization: a retrospective analysis in a hospital of southern China from 2012 to 2020.

BACKGROUND: The concept of eosinophilic bronchiectasis has received clinical attention recently, but the association between blood eosinophil count (BEC) and hospital characteristics has rarely been reported yet. We aim to investigate the clinical impact of BEC on patients with acute bronchiectasis exacerbation. METHODS: A total of 1332 adult patients diagnosed with acute exacerbation of bronchiectasis from January 2012 to December 2020 were included in this retrospective study. A propensity-matched analysis was performed by matching age, sex and comorbidities in patients with high eosinophil count (≥ 300 cell/µL) and low eosinophil count (< 300 cell/µL). Clinical characteristics, length of hospital stay (LOS), hospitalization cost and inflammatory markers were compared between the two groups. RESULTS: Eosinophilic bronchiectasis occurred in approximately 11.7% of all patients. 156 propensity score-matched pairs were identified with and without high eosinophil count. Eosinophilic bronchiectasis presented with a longer LOS [9.0 (6.0-12.5) vs. 5.0 (4.0-6.0) days, p < 0.0001] and more hospitalization cost [15,011(9,753-27,404) vs. 9,109(6,402-12,287) RMB, p < 0.0001] compared to those in non-eosinophilic bronchiectasis. The median white blood cell (WBC), lymphocyte, platelet (PLT) and C-reactive protein (CRP) levels in eosinophilic bronchiectasis were significantly increased. Multivariate logistic regression analysis confirmed that the high levels of eosinophil count (OR = 13.95, p < 0.0001), worse FEV1% predicted (OR = 7.80, p = 0.0003) and PLT (OR = 1.01, p = 0.035) were independent prognostic factors for length of hospital (LOS) greater than 7 days. CONCLUSION: Eosinophilic bronchiectasis patients had longer length of hospital stay and more hospitalization cost compared to those in non-eosinophilic bronchiectasis group, which might be associated with the stronger inflammatory reaction.

Updated overall survival and circulating tumor DNA analysis of ensartinib for crizotinib-refractory ALK-positive NSCLC from a phase II study.

BACKGROUND: The initial phase II stuty (NCT03215693) demonstrated that ensartinib has shown clinical activity in patients with advanced crizotinib-refractory, anaplastic lymphoma kinase (ALK)-positive non-small cell lung cancer (NSCLC). Herein, we reported the updated data on overall survival (OS) and molecular profiling from the initial phase II study. METHODS: In this study, 180 patients received 225 mg of ensartinib orally once daily until disease progression, death or withdrawal. OS was estimated by Kaplan‒Meier methods with two-sided 95% confidence intervals (CIs). Next-generation sequencing was employed to explore prognostic biomarkers based on plasma samples collected at baseline and after initiating ensartinib. Circulating tumor DNA (ctDNA) was detected to dynamically monitor the genomic alternations during treatment and indicate the existence of molecular residual disease, facilitating improvement of clinical management. RESULTS: At the data cut-off date (August 31, 2022), with a median follow-up time of 53.2 months, 97 of 180 (53.9%) patients had died. The median OS was 42.8 months (95% CI: 29.3-53.2 months). A total of 333 plasma samples from 168 patients were included for ctDNA analysis. An inferior OS correlated significantly with baseline ALK or tumor protein 53 (TP53) mutation. In addition, patients with concurrent TP53 mutations had shorter OS than those without concurrent TP53 mutations. High ctDNA levels evaluated by variant allele frequency (VAF) and haploid genome equivalents per milliliter of plasma (hGE/mL) at baseline were associated with poor OS. Additionally, patients with ctDNA clearance at 6 weeks and slow ascent growth had dramatically longer OS than those with ctDNA residual and fast ascent growth, respectively. Furthermore, patients who had a lower tumor burden, as evaluated by the diameter of target lesions, had a longer OS. Multivariate Cox regression analysis further uncovered the independent prognostic values of bone metastases, higher hGE, and elevated ALK mutation abundance at 6 weeks. CONCLUSION: Ensartinib led to a favorable OS in patients with advanced, crizotinib-resistant, and ALK-positive NSCLC. Quantification of ctDNA levels also provided valuable prognostic information for risk stratification.

GLUT1 mediates the release of HMGB1 from airway epithelial cells in mixed granulocytic asthma.

Asthma is quite heterogenous and can be categorized as eosinophilic, mixed granulocytic (presence of both eosinophils and neutrophils in the airways) and neutrophilic. Clinically, mixed granulocytic asthma (MGA) often tends to be severe and requires large doses of corticosteroids. High mobility group box 1 (HMGB1) is one of the epithelium-derived alarmins that contributes to type 2 inflammation and asthma. This study was aimed to investigate the role of glucose transporter 1 (GLUT1) in modulation of airway epithelial HMGB1 production in MGA. Induced sputum and bronchial biopsy specimens were obtained from healthy subjects and asthma patients. BALB/c mice, the airway epithelial cell line BEAS-2B, or primary human bronchial epithelial cells (HBECs) were immunized with allergens. Intracellular and extracellular HMGB1 were both detected. The role of GLUT1 was assessed by using a pharmacological antagonist BAY876. MGA patients have a significant higher sputum HMGB1 level than the health and subjects with other inflammatory phenotypes. Nuclear-to-cytoplasmic translocation of HMGB1 was also observed in the bronchial epithelia. Allergen exposure markedly induced GLUT1 expression in murine lungs and cultured epithelial cells. Pharmacological antagonism of GLUT1 with BAY876 dramatically decreased airway hyperresponsiveness, neutrophil and eosinophil accumulation, as well as type 2 inflammation in murine models of MGA. Besides, the allergen-induced up-regulation of HMGB1 was also partly recovered by BAY876, accompanied by inhibited secretion into the airway lumen. In vitro, treatment with BAY876 relieved the allergen-induced over-expression and secretion of HMGB1 in airway epithelia. Taken together, our data indicated that GLUT1 mediates bronchial epithelial HMGB1 release in MGA.

A novel multimodal prediction model based on DNA methylation biomarkers and low-dose computed tomography images for identifying early-stage lung cancer.

Objective: DNA methylation alterations are early events in carcinogenesis and immune signalling in lung cancer. This study aimed to develop a model based on short stature homeobox 2 gene (SHOX2)/prostaglandin E receptor 4 gene (PTGER4) DNA methylation in plasma, appearance subtype of pulmonary nodules (PNs) and low-dose computed tomography (LDCT) images to distinguish early-stage lung cancers. Methods: We developed a multimodal prediction model with a training set of 257 individuals. The performance of the multimodal prediction model was further validated in an independent validation set of 42 subjects. In addition, we explored the association between SHOX2/PTGER4 DNA methylation and driver gene mutations in lung cancer based on data from The Cancer Genome Atlas (TCGA) portal. Results: There were significant differences between the early-stage lung cancers and benign groups in the methylation levels. The area under a receiver operator characteristic curve (AUC) of SHOX2 in patients with solid nodules, mixed ground-glass opacity nodules and pure ground-glass opacity nodules were 0.693, 0.497 and 0.864, respectively, while the AUCs of PTGER4 were 0.559, 0.739 and 0.619, respectively. With the highest AUC of 0.894, the novel multimodal prediction model outperformed the Mayo Clinic model (0.519) and LDCT-based deep learning model (0.842) in the independent validation set. Database analysis demonstrated that patients with SHOX2/PTGER4 DNA hypermethylation were enriched in TP53 mutations. Conclusions: The present multimodal prediction model could more efficiently distinguish early-stage lung cancer from benign PNs. A prognostic index based on DNA methylation and lung cancer driver gene alterations may separate the patients into groups with good or poor prognosis.

Epithelial CST1 Promotes Airway Eosinophilic Inflammation in Asthma via the AKT Signaling Pathway.

PURPOSE: Epithelial cystatin SN (CST1), a type 2 cysteine protease inhibitor, was significantly upregulated in asthma. In this study, we aimed to investigate the potential role and mechanism of CST1 in eosinophilic inflammation in asthma. METHODS: Bioinformatics analysis on Gene Expression Omnibus datasets were used to explore the expression of CST1 in asthma. Sputum samples were collected from 76 asthmatics and 22 control subjects. CST1 mRNA and protein expression in the induced sputum were measured by real-time polymerase chain reaction, enzyme-linked immunosorbent assay, and western blotting. The possible function of CST1 was explored in ovalbumin (OVA)-induced eosinophilic asthma. Transcriptome sequencing (RNA-seq) was used to predict the possible regulated mechanism of CST1 in bronchial epithelial cells. Overexpression or knockdown of CST1 was further used to verify potential mechanisms in bronchial epithelial cells. RESULTS: CST1 expression was significantly increased in the epithelial cells and induced sputum of asthma. Increased CST1 was significantly associated with eosinophilic indicators and T helper cytokines. CST1 aggravated airway eosinophilic inflammation in the OVA-induced asthma model. In addition, overexpression of CST1 significantly enhanced the phosphorylation of AKT and the expression of serpin peptidase inhibitor, clade B, member 2 (SERPINB2), while knockdown using anti-CST1 siRNA reversed the trend. Furthermore, AKT had a positive effect on SERPINB2 expression. CONCLUSIONS: Increased sputum CST1 may play a key role in the pathogenesis of asthma through involvement in eosinophilic and type 2 inflammation through activation of the AKT signaling pathway, further promoting SERPINB2 expression. Therefore, targeting CST1 might be of therapeutic value in treating asthma with severe and eosinophilic phenotypes.

Novel DNA Promoter Hypermethylation in Nasal Epithelium of Asthma.

BACKGROUND: Abnormal epigenetic alterations influenced by external factors and affecting DNA expression contribute to the development of asthma. However, the role of the nasal epithelium in airway inflammation remains unknown. OBJECTIVE: The objective of this study is to identify novel DNA promoter hypermethylation, which suppresses mRNA expression in nasal epithelial of asthma. METHODS: Microarray datasets were downloaded from the Gene Expression Omnibus (GEO) database. Gene expression and DNA promoter methylation sites in key correlated modules between asthma and normal were identified by weighted gene co-expression network analysis. Gene Oncology and Kyoto Encyclopedia of Genes and Genomes were conducted to analyse the function of genes. Further validation was performed in human BEAS-2B cells challenged by IL-4 or IL-13. RESULTS: Lightcyan, lightgreen, midnightblue, cyan and tan modules in the mRNA expression dataset showed a close relationship with asthma, in which genes were enriched in TNF, IL-17, ErbB, MAPK and Estrogen signalling pathways. Blue and turquoise modules in the methylation profiling dataset were associated with asthma. Forty nine lowly expressed genes were identified to be correlated with aberrant DNA hypermethylation of promoters. Among these genes, the mRNA levels of BCL10, GADD45B, LSR and SQSTM1 were downregulated in BEAS-2B cells challenged with IL-4 or IL-13. CONCLUSION: Four potential genes in the nasal epithelium, by hypermethylating their own DNA promoter, might mediate the inflammatory response in the pathogenesis of asthma. Analyzing epigenomic data by integrated bioinformatics helps to understand the role of DNA methylation in asthma, with the goal of providing new perspectives for diagnosis and therapy.

Identification and Application of a Novel Immune-Related lncRNA Signature on the Prognosis and Immunotherapy for Lung Adenocarcinoma.

Background: Long non-coding RNA (lncRNA) participates in the immune regulation of lung cancer. However, limited studies showed the potential roles of immune-related lncRNAs (IRLs) in predicting survival and immunotherapy response of lung adenocarcinoma (LUAD). Methods: Based on The Cancer Genome Atlas (TCGA) and ImmLnc databases, IRLs were identified through weighted gene coexpression network analysis (WGCNA), Cox regression, and Lasso regression analyses. The predictive ability was validated by Kaplan−Meier (KM) and receiver operating characteristic (ROC) curves in the internal dataset, external dataset, and clinical study. The immunophenoscore (IPS)-PD1/PD-L1 blocker and IPS-CTLA4 blocker data of LUAD were obtained in TCIA to predict the response to immune checkpoint inhibitors (ICIs). The expression levels of immune checkpoint molecules and markers for hyperprogressive disease were analyzed. Results: A six-IRL signature was identified, and patients were stratified into high- and low-risk groups. The low-risk had improved survival outcome (p = 0.006 in the training dataset, p = 0.010 in the testing dataset, p < 0.001 in the entire dataset), a stronger response to ICI (p < 0.001 in response to anti-PD-1/PD-L1, p < 0.001 in response to anti-CTLA4), and higher expression levels of immune checkpoint molecules (p < 0.001 in PD-1, p < 0.001 in PD-L1, p < 0.001 in CTLA4) but expressed more biomarkers of hyperprogression in immunotherapy (p = 0.002 in MDM2, p < 0.001 in MDM4). Conclusion: The six-IRL signature exhibits a promising prediction value of clinical prognosis and ICI efficacy in LUAD. Patients with low risk might gain benefits from ICI, although some have a risk of hyperprogressive disease.

PTPRH Alleviates Airway Obstruction and Th2 Inflammation in Asthma as a Protective Factor.

PURPOSE: PTPRH inhibits EGFR activity directly in cancer patients and activated EGFR induces goblet cell hyperplasia and mucus hypersecretion in asthma. However, the function of PTPRH in asthma remains unknown. The purpose of this study was to access the association of PTPRH with asthma and its underlying mechanism. PATIENTS AND METHODS: We examined the PTPRH level in asthma patients (n = 108) and healthy controls (n = 35), and analyzed the correlations between PTPRH and asthma-related indicators. Human bronchial epithelial cell (HBECs) transfected with PTPRH and asthma mouse model were set up to investigate the function of PTPRH. RESULTS: The expression of PTPRH was significantly increased and correlated with pulmonary function parameters, including airway obstruction, and T-helper2 (Th2) associated markers in asthma patients. PTPRH increased in the house dust mite (HDM)-induced asthmatic mice, while Th2 airway inflammation and Muc5ac suppressed when treated with PTPRH. Accordingly, PTPRH expression was markedly increased in IL-13-stimulated HBECs but PTPRH over-expression suppressed MUC5AC. Moreover, HBECs transfected with over-expressed PTPRH inhibited the phosphorylation of EGFR, ERK1/2 and AKT, while induced against PTPRH in HBECs dephosphorylated of EGFR, ERK1/2 and AKT. CONCLUSION: PTPRH reduces MUC5AC secretion to alleviate airway obstruction in asthma via potential phosphorylating of EGFR/ERK1/2/AKT signaling pathway, which may provide possible therapeutic implications for asthma.

Elevated CEACAM5 Levels in Patients with Asthma.

INTRODUCTION: Asthma is a common chronic respiratory disease. This study aimed to explore the expression level of carcinoembryonic antigen-related cell adhesion molecule 5 (CEACAM5) in induced sputum supernatant, induced sputum cells, and serum of asthma patients. METHODS: The protein levels of CEACAM5 in induced sputum supernatant and serum were detected by enzyme-linked immunosorbent assay. The expression of CEACAM5 in induced sputum cells was detected by quantitative reverse transcription polymerase chain reaction (qRT-PCR). We analyzed the correlations between CEACAM5 expression and the clinical characteristics (FeNO and IgE) of asthma. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of CEACAM5 in asthma. The expression level of CEACAM5 in 16HBE and BEAS-2B cells was detected by qRT-PCR. RESULTS: The expression of CEACAM5 in induced sputum supernatant, induced sputum cells, and serum of asthma patients was significantly upregulated. Asthma patients with high CEACAM5 expression in induced sputum supernatant had higher levels of FeNO, IgE, and IL-13. The expression levels of CEACAM5 in induced sputum supernatant and induced sputum cells were positively correlated with FeNO and IgE. The ROC curve showed that CEACAM5 had a good diagnostic value in asthma. CEACAM5 expression was upregulated in BEAS-2B and 16HBE cells after IL-4 or IL-13 stimulation for 48 h. CONCLUSION: The expression levels of CEACAM5 in induced sputum supernatant, induced sputum cells, and serum of asthma patients were significantly increased. CEACAM5 may be involved in eosinophilic inflammation of asthma and may be used as a diagnostic biomarker and therapeutic target of asthma.

The pathological tissue expression pattern and clinical significance of m6A-regulatory genes in non-small cell lung cancer.

BACKGROUND: Aberrant expression of m6A-related proteins contributes to the occurrence and progression of non-small cell lung cancer (NSCLC). Current studies mainly focus on single m6A regulatory genes and their underlying mechanisms, and the expression of multiple m6A regulatory proteins in NSCLC remains unclear. Therefore, it is necessary to systematically examine these proteins, particularly in clinical specimens. METHODS: Bioinformatic analysis was used to determine the expression of m6A regulatory genes and their correlation with common gene mutations, such as TP53, EGFR and KRAS, using The Cancer Genome Atlas (TCGA) and the AE-meta databases. Immunohistochemistry was employed to analyze the protein expression of m6A regulatory proteins in 61 benign lung tissues and 316 NSCLC tissues. Statistical analysis was performed to calculate the correlation between the expression of m6A regulatory proteins and clinicopathological features, survival, and common gene mutations in lung carcinoma patients. RESULTS: Analysis of the mRNA levels of 13 core m6A regulators, using information from TCGA and the AE-meta databases, revealed that YTHDF1 levels were upregulated in NSCLC compared to those in adjacent normal tissues. Immunohistochemical staining showed that the expression of METTL3, ALKBH5, YTHDC2 and YTHDF1 was significantly upregulated in NSCLC tissues. Further analyses demonstrated a positive correlation between differentially expressed m6A regulatory proteins, including METTL3, ALKBH5, YTHDC2 and YTHDF1, and the poor clinicopathological features and survival of NSCLC patients. According to the statistics of NSCLC patients enrolled in the present study, the protein levels of METTL3 in patients with EGFR exon-19 mutation were higher than those in patients with wild-type EGFR. CONCLUSIONS: Our results indicate that m6A regulators, including METTL3, ALKBH5, YTHDC2 and YTHDF1, could serve as predictive markers of NSCLC, which will facilitate the early detection and diagnosis of NSCLC.

Novel acute hypersensitivity pneumonitis model induced by airway mycosis and high dose lipopolysaccharide.

BACKGROUND: Inhalation of fungal spores is a strong risk factor for severe asthma and experimentally leads to development of airway mycosis and asthma-like disease in mice. However, in addition to fungal spores, humans are simultaneously exposed to other inflammatory agents such as lipopolysaccharide (LPS), with uncertain relevance to disease expression. To determine how high dose inhalation of LPS influences the expression of allergic airway disease induced by the allergenic mold Aspergillus niger (A. niger). METHODS: C57BL/6J mice were intranasally challenged with the viable spores of A. niger with and without 1 µg of LPS over two weeks. Changes in airway hyperreactivity, airway and lung inflammatory cell recruitment, antigen-specific immunoglobulins, and histopathology were determined. RESULTS: In comparison to mice challenged only with A. niger, addition of LPS (1 µg) to A. niger abrogated airway hyperresponsiveness and strongly attenuated airway eosinophilia, PAS+ goblet cells and TH2 responses while enhancing TH1 and TH17 cell recruitment to lung. Addition of LPS resulted in more severe, diffuse lung inflammation with scattered, loosely-formed parenchymal granulomas, but failed to alter fungus-induced IgE and IgG antibodies. CONCLUSIONS: In contrast to the strongly allergic lung phenotype induced by fungal spores alone, addition of a relatively high dose of LPS abrogates asthma-like features, replacing them with a phenotype more consistent with acute hypersensitivity pneumonitis (HP). These findings extend the already established link between airway mycosis and asthma to HP and describe a robust model for further dissecting the pathophysiology of HP.

Detecting ALK Rearrangement with RT-PCR: A Reliable Approach Compared with Next-Generation Sequencing in Patients with NSCLC.

BACKGROUND: Precise detection of anaplastic lymphoma kinase (ALK) rearrangement guides the application of ALK-targeted tyrosine kinase inhibitors (ALK-TKIs) in patients with non-small-cell lung cancer (NSCLC). Next-generation sequencing (NGS) has been widely used in clinics, but DNA-based NGS used to detect fusion genes has delivered false-negative results. However, fusion genes can be successfully detected at the transcription level and with higher sensitivity using RNA-based reverse transcription polymerase chain reaction (RT-PCR). OBJECTIVE: This study compared the performance of RT-PCR and NGS in the detection of echinoderm microtubule-associated protein-like 4 (EML4)-ALK fusion in Chinese patients with NSCLC. METHODS: Formalin-fixed paraffin-embedded tissues from 153 patients who were pathologically diagnosed as having NSCLC were collected from November 2017 to October 2019. Both DNA/RNA-based NGS and RNA-based RT-PCR were used to detect EML4-ALK fusion. For samples with discordant ALK status results, fluorescence in situ hybridization (FISH) or Sanger sequencing was used to further confirm the ALK status. RESULTS: In total, 124 samples were successfully analyzed using both NGS and RT-PCR. For 118 samples, results were consistent between NGS and RT-PCR, with 25 reported as ALK fusion positive and 93 as ALK fusion negative, achieving a concordance rate of 95.16%. Among the six samples with disconcordant results, five were positive using RT-PCR but negative using NGS, and one was positive using NGS but negative using RT-PCR. Four of six cases with disconcordant results (three RT-PCR positive and one NGS positive) were successfully validated using either FISH or Sanger sequencing. CONCLUSIONS: Compared with NGS, RT-PCR appears to be a reliable method of detecting EML4-ALK fusion in patients with NSCLC.

A computed tomography (CT)-derived radiomics approach for predicting primary co-mutations involving TP53 and epidermal growth factor receptor (EGFR) in patients with advanced lung adenocarcinomas (LUAD).

BACKGROUND: Epidermal growth factor receptor (EGFR) co-mutated with TP53 could reduce responsiveness to tyrosine kinase inhibitors (TKIs) and worsen patients' prognosis compared to TP53 wild type patients in. EGFR: mutated lung adenocarcinomas (LUAD). To identify this genetically unique subset prior to treatment through computed tomography (CT) images had not been reported yet. METHODS: Stage III and IV LUAD with known mutation status of EGFR and TP53 from The First Affiliated Hospital of Sun Yat-sen University (May 1, 2017 to June 1, 2020) were collected. Characteristics of pretreatment enhanced-CT images were analyzed. One-versus-one was used as the multiclass classification strategy to distinguish the three subtypes of co-mutations: EGFR + & TP53 +, EGFR + & TP53 -, EGFR -. The clinical model, semantic model, radiomics model and integrated model were built. Area under the receiver-operating characteristic curves (AUCs) were used to evaluate the prediction efficacy. RESULTS: A total of 199 patients were enrolled, including 83 (42%) cases of EGFR -, 55 (28%) cases of EGFR + & TP53 +, 61 (31%) cases of EGFR + & TP53 -. Among the four different models, the integrated model displayed the best performance for all the three subtypes of co-mutations: EGFR - (AUC, 0.857; accuracy, 0.817; sensitivity, 0.998; specificity, 0.663), EGFR + & TP53 + (AUC, 0.791; accuracy, 0.758; sensitivity, 0.762; specificity, 0.783), EGFR + & TP53 - (AUC, 0.761; accuracy, 0.813; sensitivity, 0.594; specificity, 0.977). The radiomics model was slightly inferior to the integrated model. The results for the clinical and the semantic models were dissatisfactory, with AUCs less than 0.700 for all the three subtypes. CONCLUSIONS: CT imaging based artificial intelligence (AI) is expected to distinguish co-mutation status involving TP53 and EGFR. The proposed integrated model may serve as an important alternative marker for preselecting patients who will be adaptable to and sensitive to TKIs.

Inhibition of macrophage migration inhibitory factor (MIF) as a therapeutic target in bleomycin-induced pulmonary fibrosis rats.

Macrophage migration inhibitory factor (MIF) inhibition can attenuate pulmonary fibrosis, but the antifibrotic mechanism is unclear. Here we investigated the antifibrotic effect of MIF knockdown in rats with bleomycin (BLM)-induced pulmonary fibrosis. The results showed that MIF inhibition attenuated lung injury and extracellular matrix deposition; significantly reduced the levels of cytokines including transforming growth factor-ß1 (TGF-ß1), tumor necrosis factor-α (TNF-α), interleukin-17 (IL-17), hydroxyproline (hyp), fibroblast growth factor 23 (FGF23), and secreted phosphoprotein 1 (Spp1); and inhibited the expression of CD68, F4/80, and α-smooth muscle actin (α-SMA) protein. MIF inhibition is associated with reduction of proinflammatory mediators and macrophage infiltration in lungs. In addition, MIF knockdown in the day 14 group was significantly better than MIF knockdown in day 1 group in terms of the above mentioned cytokines TGF-ß1, IL-17, TNF-α. MIF knockdown in day 14 group showed a better trend than MIF knockdown in day 1 group in inhibition of hyp and α-SMA formation. Furthermore, MIF inhibition downregulated the FGF23, Spp1, anti-integrin alpha 10 (Itga10), laminin subunit alpha 1 (Lama1), thrombospondin 2 (THBS2), and Serpin family B member 5 (SERPINB5) mRNA levels and the p-Smad2/3 protein level. MIF knockdown may inhibit fibrosis through the TGF-ß1/Smads signaling pathway. In addition, MIF inhibition protects against vascular remodeling via Thbs2 and Serpinb5 signaling. In summary, our study showed that knockdown of MIF can significantly inhibit lung inflammation and fibrosis in rats with BLM-induced pulmonary fibrosis. The future development of inhibitors targeting MIF may contribute to the treatment of pulmonary fibrosis.

Decoding the Evolutionary Response to Ensartinib in Patients With ALK-Positive NSCLC by Dynamic Circulating Tumor DNA Sequencing.

INTRODUCTION: By implementing dynamic circulating tumor DNA (ctDNA) analysis, we explored the impact of TP53 mutations on tumor evolution and resistance mechanisms to ensartinib in patients with ALK-positive NSCLC. METHODS: In a multicenter phase 2 trial, patients with ALK-positive NSCLC who progressed on crizotinib were treated with ensartinib. Blood samples for ctDNA analysis were collected at baseline, cycle 3 day 1, and progression disease (PD) and analyzed with a 212-gene panel. RESULTS: A total of 440 samples were collected from 168 patients. Baseline TP53 mutations (20.2%) significantly correlated with inferior progression-free survival (4.2 mo versus 11.7 mo, p < 0.0001). Patients with TP53 mutations had higher mutation load than those without TP53 mutations at baseline (13.79 ± 3.72 versus 4.67 ± 0.39, p < 0.001). Although there was no significant difference in mutation load between these groups at cycle 3 day 1 (5.89 ± 2.25 versus 3.72 ± 0.62, p = 0.425), patients with mutated TP53 developed more mutations at PD (7.07 ± 1.25 versus 3.20 ± 0.33, p = 0.003). Frequency and abundance of secondary ALK mutations G1269A, G1202R, and E1210K increased markedly at PD than baseline. In patients without secondary ALK mutations, we identified ALK-independent resistance mechanisms including bypass signaling activation, downstream effector protein reactivation, epithelial-mesenchymal transformation, and epigenetic dysregulation. CONCLUSIONS: Our study highlighted the advantage of ctDNA analysis for monitoring tumor evolution. TP53 mutations promoted genetic evolution and accelerated occurrence of resistance. We also unveiled ALK-dependent resistance mechanisms, mainly by G1269A, G1202R, and E1210K mutations, and ALK-independent resistance mechanisms to ensartinib.

The detrimental qualitative and quantitative alterations of circulating endothelial progenitor cells in patients with bronchiectasis.

BACKGROUND: Bronchiectasis is an independent risk factor for cardiovascular disease（CVD）and cardiac dysfunction. Endothelial progenitor cells (EPCs) play a crucial role in maintaining endothelial function, and is inversely correlated with cardiovascular risk factors or cardiac dysfunction. However, the relationship between EPCs and bronchiectasis is unknown. METHODS: Twenty-nine patients with stable bronchiectasis and 15 healthy controls were recruited. Fasting venous blood were collected for determining circulating EPC number and activity as well as systemic inflammatory cytokines. RESULTS: The number and migratory or proliferative activity of circulating EPCs in bronchiectasis patients were significantly reduced (p < 0.001). In high E-FACED group, the number of circulating EPCs evaluated by cell culture assay and EPC proliferation were decreased (p < 0.05). Similarly, the number and function of circulating EPCs were both reduced in low forced expiratory volume in 1 s (FEV1) or high mMRC group (p < 0.05). There was a significant correlation between circulating EPCs and bronchiectasis disease severity, according to the E-FACED score (p < 0.05), particularly to FEV1 (p < 0.05) and mMRC dyspnea score (p < 0.05). The count and activity of EPCs inversely correlated with hsCRP levels and IL-6 levels (p < 0.01). CONCLUSIONS: Deficiencies in the number and function of circulating EPCs are present in patients with bronchiectasis. The changes are related to disease severity and may be partly attributed to systemic inflammation. The current findings may provide novel surrogate evaluation biomarkers and potential therapeutic target for bronchiectasis.

Evaluating the diagnostic accuracy of a ctDNA methylation classifier for incidental lung nodules: protocol for a prospective, observational, and multicenter clinical trial of 10,560 cases.

BACKGROUND: Lung nodules are a diagnostic challenge. Current clinical management of lung nodule patients is inefficient and therefore causes patient misclassification, which increases healthcare expenses. However, a precise and robust lung nodule classifier to minimize discomfort for patients and healthcare costs is still lacking. The aim of the present protocol is to evaluate the effectiveness of using a liquid biopsy classifier to diagnose nodules compared to physician estimates and whether the classifier can reduce the number of unnecessary biopsies in benign cases. METHODS: A prospective cohort of 10,560 patients enrolled at 23 clinical centers in China with non-calcified pulmonary nodules, ranging from 0.5 to 3 cm in diameter, indicated by LDCT or CT will be included. After signed consent forms, the participants' pulmonary nodules will be assessed using three evaluation tools: (I) physician cancer probability estimates (II) validated lung nodule risk models, including Mayo Clinic and Veteran's Affairs models (III) ctDNA methylation classifier previously established. Each patient will undergo LDCT/CT follow-ups for 2 to 3 years and their information and one blood sample will be collected at baseline, 3, 6, 12, 24 and 36 months. The primary study outcomes will be the diagnostic accuracy of the methylation classifier in the cohort. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) will be used to compare the diagnostic value of each testing tool in differentiating benign and malignant pulmonary nodules. DISCUSSION: We are conducting an observational study to explore the accuracy of using a ctDNA methylation classifier for incidental lung nodules diagnosis. TRIAL REGISTRATION: Clinicaltrials.gov NCT03651986.

A CT-derived deep neural network predicts for programmed death ligand-1 expression status in advanced lung adenocarcinomas.

BACKGROUND: Programmed death ligand-1 (PD-L1) expression remains a crucial predictor in selecting patients for immunotherapy. The current study aimed to non-invasively predict PD-L1 expression based on chest computed tomography (CT) images in advanced lung adenocarcinomas (LUAD), thus help select optimal patients who can potentially benefit from immunotherapy. METHODS: A total of 127 patients with stage III and IV LUAD were enrolled into this study. Pretreatment enhanced thin-section CT images were available for all patients and were analyzed in terms of both morphologic characteristics by radiologists and deep learning (DL), so to further determine the association between CT features and PD-L1 expression status. Univariate analysis and multivariate logical regression analysis were applied to evaluate significant variables. For DL, the 3D DenseNet model was built and validated. The study cohort were grouped by PD-L1 Tumor Proportion Scores (TPS) cutoff value of 1% (positive/negative expression) and 50% respectively. RESULTS: Among 127 LUAD patients, 46 (36.2%) patients were PD-L1-positive and 38 (29.9%) patients expressed PD-L1-TPS ≥50%. For morphologic characteristics, univariate and multivariate analysis revealed that only lung metastasis was significantly associated with PD-L1 expression status despite of different PD-L1 TPS cutoff values, and its Area under the receiver operating characteristic curve (AUC) for predicting PD-L1 expression were less than 0.700. On the other hand, the predictive value of DL-3D DenseNet model was higher than that of the morphologic characteristics, with AUC more than 0.750. CONCLUSIONS: The traditional morphologic CT characteristics analyzed by radiologists show limited prediction efficacy for PD-L1 expression. By contrast, CT-derived deep neural network improves the prediction efficacy, it may serve as an important alternative marker for clinical PD-L1 detection.