Hepatocyte growth factor combined with adenosine deaminase as biomarker for diagnosis of tuberculous pleural effusion.

Background: The simple, rapid, and accurate diagnosis of tuberculous pleural effusion (TPE) remains difficult. This study aimed to determine the accuracy of hepatocyte growth factor (HGF) in the diagnosis of TPE. Methods: We quantified the expression of HGF, adenosine deaminase (ADA), and interferon gamma (IFN-γ) in pleural effusion (PE) in 97 TPE subjects and 116 non-TPE subjects using an enzyme-linked immunosorbent assay (ELISA) or a fully automatic biochemical analyzer. The diagnostic performance of these three biomarkers was evaluated using a receiver operating characteristic (ROC) curve of subjects by age and gender. Results: We discovered that the TPE group had much higher levels of HGF than the non-TPE group, regardless of age or gender, and that there was no statistically significant difference between the two groups' levels of HGF expression in peripheral plasma. In female TPE patients aged ≤65 years, the AUCs of TPE and non-TPE diagnosed by HGF, ADA or IFN-γ were 0.988, 0.964, and 0.827, respectively. HGF plus ADA had the highest diagnostic efficacy in female TPE patients aged ≤65 years. With HGF plus ADA having a cut-off value of 0.219 for distinguishing TPE from non-TPE, the area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and negative predictive value (NPV) were, respectively, 0.998 (95% confidence interval [CI], 0.993-1.000), 100 (95% CI, 89.997-100.000), 96.667 (95% CI, 82.783-99.916), 97.222 (95% CI, 83.594-99.586), and 100. Conclusion: This study confirmed that HGF plus ADA has high diagnostic efficacy in younger female TPE patients and has the potential to be an excellent biomarker.

Characterization of the alternative splicing landscape in lung adenocarcinoma reveals novel prognosis signature associated with B cells.

BACKGROUND: Lung cancer is the second most commonly diagnosed cancer and the leading cause of cancer-related death. Malignant pleural effusion (MPE) is a special microenvironment for lung cancer metastasis. Alternative splicing, which is regulated by splicing factors, affects the expression of most genes and influences carcinogenesis and metastasis. METHODS: mRNA-seq data and alternative splicing events in lung adenocarcinoma (LUAD) were obtained from The Cancer Genome Atlas (TCGA). A risk model was generated by Cox regression analyses and LASSO regression. Cell isolation and flow cytometry were used to identify B cells. RESULTS: We systematically analyzed the splicing factors, alternative splicing events, clinical characteristics, and immunologic features of LUAD in the TCGA cohort. A risk signature based on 23 alternative splicing events was established and identified as an independent prognosis factor in LUAD. Among all patients, the risk signature showed a better prognostic value in metastatic patients. By single-sample gene set enrichment analysis, we found that among tumor-infiltrating lymphocytes, B cells were most significantly correlated to the risk score. Furthermore, we investigated the classification and function of B cells in MPE, a metastatic microenvironment of LUAD, and found that regulatory B cells might participate in the regulation of the immune microenvironment of MPE through antigen presentation and promotion of regulatory T cell differentiation. CONCLUSIONS: We evaluated the prognostic value of alternative splicing events in LUAD and metastatic LUAD. We found that regulatory B cells had the function of antigen presentation, inhibited naïve T cells from differentiating into Th1 cells, and promoted Treg differentiation in LUAD patients with MPE.

Interleukin 32 as a Potential Marker for Diagnosis of Tuberculous Pleural Effusion.

Accurate differential diagnosis is the key to choosing the correct treatment for pleural effusion. The present study aimed to assess whether interleukin 32 (IL-32) could be a new biomarker of tuberculous pleural effusion (TPE) and to explore the biological role of IL-32 in TPE. IL-32 levels were evaluated in the pleural effusions of 131 patients with undetermined pleural effusion from Wuhan and Beijing cohorts using an enzyme-linked immunosorbent assay method. Macrophages from TPE patients were transfected with IL-32-specific small interfering RNA (siRNA), and adenosine deaminase (ADA) expression was determined by real-time PCR and colorimetric methods. With a cutoff value of 247.9 ng/mL, the area under the curve of the receiver operating characteristic (ROC) curve for IL-32 was 0.933 for TPE, and the sensitivity and specificity were 88.4% and 93.4%, respectively. A multivariate logistic regression model with relatively good diagnostic performance was established. IL-32-specific siRNA downregulated ADA expression in macrophages, and IL-32γ treatment significantly induced ADA expression. Our results indicate that IL-32 in pleural effusion may be a novel biomarker for identifying patients with TPE. In addition, our multivariate model is acceptable to rule in or rule out TPE across diverse prevalence settings. Furthermore, IL-32 may modulate ADA expression in the tuberculosis microenvironment. (This study has been registered at ChiCTR under registration number ChiCTR2100051112 [https://www.chictr.org.cn/index.aspx].) IMPORTANCE Tuberculous pleural effusion (TPE) is a common form of extrapulmonary tuberculosis, with manifestations ranging from benign effusion with spontaneous absorption to effusion with pleural thickening, empyema, and even fibrosis, which can lead to a lasting impairment of lung function. Therefore, it is of great significance to find a rapid method to establish early diagnosis and apply antituberculosis therapy in the early stage. This study indicates that interleukin 32 (IL-32) in pleural effusion is a new high-potency marker to distinguish TPE from pleural effusions with other etiologies. A multivariate model combining age, adenosine deaminase (ADA), lactic dehydrogenase, and IL-32 may reliably rule in TPE in intermediate- or high-prevalence areas. Additionally, we observed that IL-32 might regulate ADA expression in macrophages in the tuberculosis microenvironment. Therefore, this study provides new insights into the role of IL-32 in the tuberculosis microenvironment.

T Cell Receptor Repertoire Analysis Reveals Signatures of T Cell Responses to Human Mycobacterium tuberculosis.

Characterization of T cell receptor (TCR) repertoires is essential for understanding the mechanisms of Mycobacterium tuberculosis (Mtb) infection involving T cell adaptive immunity. The characteristics of TCR sequences and distinctive signatures of T cell subsets in tuberculous patients are still unclear. By combining single-cell TCR sequencing (sc-TCR seq) with single-cell RNA sequencing (sc-RNA seq) and flow cytometry to characterize T cells in tuberculous pleural effusions (TPEs), we identified 41,718 CD3+ T cells in TPEs and paired blood samples, including 30,515 CD4+ T cells and 11,203 CD8+ T cells. Compared with controls, no differences in length and profile of length distribution were observed in complementarity determining region 3 (CDR3) in both CD4+ and CD8+ T cells in TPE. Altered hydrophobicity was demonstrated in CDR3 in CD8+ T cells and a significant imbalance in the TCR usage pattern of T cells with preferential expression of TRBV4-1 in TPE. A significant increase in clonality was observed in TCR repertoires in CD4+ T cells, but not in CD8+ T cells, although both enriched CD4+ and CD8+ T cells showed TH1 and cytotoxic signatures. Furthermore, we identified a new subset of polyfunctional CD4+ T cells with CD1-restricted, TH1, and cytotoxic characteristics, and this subset might provide protective immunity against Mtb.

Prognostic impact of pleural effusion in patients with malignancy: A systematic review and meta-analysis.

The exact role of pleural effusion in the prognosis of cancer patients remains unclear. We aimed to systematically review the prognostic value of pleural effusion in patients with cancer. We performed a systematic review and meta-analysis with a systematic literature search. All cohort studies with available overall survival (OS) and progression-free survival (PFS) results for patients with cancer with or without pleural effusion were included. The Mantel-Haenszel method was used to calculate the pooled hazard ratios (HRs) and 95% confidence intervals (CIs). Heterogeneity and publication bias were examined. Subgroup analysis and sensitivity analysis were performed. A total of 47 studies with 146,117 patients were included in the analysis. For OS, pleural effusion was a prognostic factor associated with a poor prognosis for patients with cancer (HR, 1.58, 95% CI, 1.43-1.75; I2 94.8%). In the subgroup analysis, pleural effusion was a prognostic factor associated with poor survival for patients with lung cancer (HR, 1.44, 95% CI, 1.35-1.54; I2 60.8%), hematological cancer (HR, 2.79, 95% CI, 1.63-4.77; I2 29.4%) and other types of cancer (HR, 2.08, 95% CI, 1.43-3.01; I2 55.1%). For PFS, pleural effusion was a prognostic factor associated with a poor prognosis for patients with cancer (HR, 1.61, 95% CI, 1.28-2.03; I2 42.9%). We also observed that massive pleural effusion was a prognostic factor associated with a poorer prognosis compared to minimal pleural effusion. Pleural effusion had prognostic value in both OS and PFS of patients with cancer, except for patients with malignant pleural mesothelioma, regardless of whether the malignant effusion was confirmed histologically or cytologically. However, future evidence of other pleural effusion characteristics is still needed.

Prognostic biomarkers of malignant patients with pleural effusion: a systematic review and meta-analysis.

BACKGROUND: Pleural effusion is a common clinical problem in patients with cancer. We aimed to summarize all the known prognostic indicators of malignant pleural effusion. METHODS: We did a systematic review and meta-analysis with a systematic literature search. All prospective or retrospective cohort studies that estimated the prognostic factors of malignant pleural effusion were enrolled. Mantel-Haenszel method was used to calculate the pooled hazard ratio (HR) and 95% confidence interval (CI). RESULTS: Eventually, we identified 82 studies with a total of 10,748 patients that met our inclusion criteria. The LENT score showed a good prognostic value (HR 1.97, 95% CI 1.67-2.31) so did the LENT score item. In addition, clinical parameters like stage (HR 1.68, 95% CI 1.25-2.25), distant metastasis (HR 1.62, 95% CI 1.38-1.89), EGFR mutation (HR 0.65, 95% CI 0.56-0.74), serum biological parameters like hemoglobin (HR 1.56, 95% CI 1.17-2.06), albumin (HR 1.71, 95% CI 1.25-2.34), C-reaction protein (HR 1.84, 95% CI 1.49-2.29), VEGF (HR 1.70, 95% CI 1.18-2.43) and pleural effusion biological parameters like PH (HR 1.95, 95% CI 1.46-2.60), glucose (HR 1.75, 95% CI 1.18-2.61), VEGF (HR 1.99, 95% CI 1.67-2.37), and survivin (HR 2.90, 95% CI 1.17-7.20) are also prognostic factors for malignant pleural effusion. CONCLUSIONS: For malignant pleural effusion, LENT score and its items are valuable prognostic biomarkers, so do the clinical parameters like stage, distant metastasis, EGFR mutation, the serum biological parameters like hemoglobin, albumin, C-reaction protein, VEGF and the pleural effusion biological parameters like PH, glucose, VEGF and survivin.

Complement Component C1q as an Emerging Biomarker for the Diagnosis of Tuberculous Pleural Effusion.

Background and Objective: The accurate differential diagnosis of tuberculous pleural effusion (TPE) from other exudative pleural effusions is often challenging. We aimed to validate the accuracy of complement component C1q in pleural fluid (PF) in diagnosing TPE. Methods: The level of C1q protein in the PF from 49 patients with TPE and 61 patients with non-tuberculous pleural effusion (non-TPE) was quantified by enzyme-linked immunosorbent assay, and the diagnostic performance was assessed by receiver operating characteristic (ROC) curves based on the age and gender of the patients. Results: The statistics showed that C1q could accurately diagnose TPE. Regardless of age and gender, with a cutoff of 6,883.9 ng/mL, the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of C1q for discriminating TPE were 0.898 (95% confidence interval: 0.825-0.947), 91.8 (80.4-97.7), 80.3 (68.2-89.4), 78.9 (69.2-86.2), and 92.5 (82.6-96.9), respectively. In subgroup analysis, the greatest diagnostic accuracy was achieved in the younger group (≤ 50 years of age) with an AUC of 0.981 (95% confidence interval: 0.899-0.999) at the cutoff of 6,098.0 ng/mL. The sensitivity, specificity, PLR, NLR, PPV, and NPV of C1q were 95.0 (83.1-99.4), 92.3 (64.0-99.8), 97.4 (85.2-99.6), and 85.7 (60.6-95.9), respectively. Conclusion: Complement component C1q protein was validated by this study to be a promising biomarker for diagnosing TPE with high diagnostic accuracy, especially among younger patients.

Single-cell analysis of diverse immune phenotypes in malignant pleural effusion.

The complex interactions among different immune cells have important functions in the development of malignant pleural effusion (MPE). Here we perform single-cell RNA sequencing on 62,382 cells from MPE patients induced by non-small cell lung cancer to describe the composition, lineage, and functional states of infiltrating immune cells in MPE. Immune cells in MPE display a number of transcriptional signatures enriched for regulatory T cells, B cells, macrophages, and dendritic cells compared to corresponding counterparts in blood. Helper T, cytotoxic T, regulatory T, and T follicular helper cells express multiple immune checkpoints or costimulatory molecules. Cell-cell interaction analysis identifies regulatory B cells with more interactions with CD4+ T cells compared to CD8+ T cells. Macrophages are transcriptionally heterogeneous and conform to M2 polarization characteristics. In addition, immune cells in MPE show the general up-regulation of glycolytic pathways associated with the hypoxic microenvironment. These findings show a detailed atlas of immune cells in human MPE and enhance the understanding of potential diagnostic and therapeutic targets in advanced non-small cell lung cancer.

An update of the long-term outcome of patients with nonspecific pleurisy at medical thoracoscopy.

BACKGROUND: Medical thoracoscopy (MT) is recommended in patients with undiagnosed exudative pleural effusion and offers a degree of diagnostic sensitivity for pleural malignancy. However, not all patients who undergo MT receive an exact diagnosis. Our previous investigation from 2014 summarized the long-term outcomes of these patients with nonspecific pleurisy (NSP); now, we offer updated data with the goal of refining our conclusions. METHODS: Between July 2005 and August 2018, MT with pleural biopsies were performed in a total of 1,254 patients with undiagnosed pleural effusions. One hundred fifty-four patients diagnosed with NSP with available follow-up data were included in the present study, and their medical records were reviewed. RESULTS: A total of 154 patients were included in this study with a mean follow-up duration of 61.5 ± 43.7 months (range: 1-180 months). No specific diagnosis was established in 67 (43.5%) of the patients. Nineteen patients (12.3%) were subsequently diagnosed with pleural malignancies. Sixty-eight patients (44.2%) were diagnosed with benign diseases. Findings of pleural nodules or plaques during MT and the recurrence of pleural effusion were associated with malignant disease. CONCLUSIONS: Although most NSP patients received a diagnosis of a benign disease, malignant disease was still a possibility, especially in those patients with nodules or plaques as noted on the MT and a recurrence of pleural effusion. One year of clinical follow-up for NSP patients is likely sufficient. These updated results further confirm our previous study's conclusions.

The role of ultrasound in determining the amount of pleural effusion.

BACKGROUND: There is no standardized system to evaluate pleural effusion size on ultrasound (US). We aimed to explore the role of US in determining the amount of pleural effusion, with an attempt to provide evidence for clinical efficacy evaluation and treatment program selection. METHODS: A total of 98 patients undergoing thoracoscopy at our center were enrolled in this study. The patients take a sitting position, then the maximum depths of the pleural effusion by US at the subscapular line, posterior axillary line, midaxillary line, anterior axillary line, and midclavicular line, as well as the maximum thickness of the pleural effusion at the subscapular line, were measured before pleural effusion drainage. Then, the corresponding values in the lateral position were also measured. The relationships between the actual pleural effusion amounts and the measurements at these lines were analyzed using the multivariate linear regression model (MLRM). RESULTS: The regression equation of the group with a pleural effusion amount of 500-1,000 mL in the sitting position showed statistical significance (P=0.001). The P values of the maximum depths at the subscapular line (X1) and midclavicular line (X5) and the maximum thickness at the subscapular line (X6) were below 0.05. Thus, a final model was established using X1, X5, and X6 as the independent variables. CONCLUSIONS: The combination of US examination and MLRM enables the quantitative determination of pleural effusion.

Predicting Survival for Patients with Malignant Pleural Effusion: Development of the CONCH Prognostic Model.

BACKGROUND: Malignant pleural effusion (MPE) is a frequent complication of advanced malignancies that leads to a poor quality of life and limits treatment options. OBJECTIVE: The objective of this study was to identify biomarkers of survival in patients with MPE, which will greatly facilitate the clinical management of this complication. METHODS: This retrospective study recruited patients who had been pathologically diagnosed with MPE, regardless of the type of primary cancer, at Beijing Chao-Yang Hospital over 158 months. Demographic, clinical, hematological, and pleural fluid data were collected and analyzed as potential predictors of survival, and a new predictive model was developed based on Cox and logistic regression analyses. RESULTS: In our alternative prognostic model (n = 281), four routinely detected variables, namely, carcinoembryonic antigen (CEA) level, monocyte count, N-terminal pro B-type natriuretic peptide (NT-pro-BNP) level, and pleural effusion chloride level on admission, were identified as predictors (the CONCH prognostic score). Patients were divided into three prognosis subgroups based on risk stratification, with median survival periods of 17, 11, and 5 months, respectively. In comparison with the low-risk group, patients in the medium- and high-risk groups showed significantly poorer survival (medium-risk group: hazard ratio [HR], 1.586; 95% confidence interval [CI], 1.047-2.402; P = 0.029; high-risk group: HR, 4.389; 95% CI, 2.432-7.921; P < 0.001). CONCLUSION: Four routinely detected variables were used to develop the CONCH scoring system, which was confirmed to be an accurate prognostic score for patients with MPE. This system can guide the selection of interventions and management for MPE.

Clinical Characteristics and Risk Factors for Pleural Effusion in Patients with Multiple Myeloma.

PURPOSE: Pleural effusion (PE) is prevalent in "real-life" populations of multiple myeloma (MM), a common hematologic malignancy. Development of PE likely has prognostic implications. The aim of this study was to investigate the characteristics and identify risk factors for occurrence of PE in MM. PATIENTS AND METHODS: We reviewed electronic medical records of 907 patients diagnosed with MM. RESULTS: Incidence of PE in MM patients was 42.7%. Small and bilateral PE in most cases. PE developed in all MM subtypes, the median time from diagnosis of multiple myeloma to pleural effusion was 6.8 months (range 0.8-33.6 months). Patients with PE showed worse survival than those without PE (unadjusted hazard ratio with 95% confidence interval: 2.249 [1.774-2.852]). No difference in survival was found between patients with small PE and those with moderate to large PE (unadjusted HR, 1.402; 95% CI, 1.037-1.896). Plasma cell proportion (OR, 1.373; 95% CI, 1.153-1.634; P = 0.009) and amyloidosis (OR, 1.791; 95% CI, 1.408-2.279; P = 0.024) were risk factors for the occurrence of PE at the initial diagnosis of MM. Plasma cell proportion (OR, 1.853; 95% CI, 1.451-2.368; P = 0.038), pneumonia (OR, 1.309; 95% CI, 1.143-1.498; P = 0.008) and heart failure (OR, 1.815; 95% CI, 1.387-2.374; P = 0.031) were risk factors for the occurrence of PE at relapse of MM. CONCLUSION: The incidence of PE in MM patients is notable and PE can occur in all MM subtypes. PE indicates a poor prognosis, even small amounts of effusion. PE is a problem worthy of attention, especially in patients with high plasma cell proportion, amyloidosis or complicated with pneumonia and heart failure.

Pleural effusion-based nomogram to predict outcomes in unselected patients with multiple myeloma: a large single center experience.

Pleural effusion (PE) is prevalent in unselected "real-life" populations of multiple myeloma (MM). However, its prognostic value on MM is currently elusive. This study aimed to explore the role of PE on MM prognosis and to develop a novel prognostic nomogram for a cohort of Chinese patients with MM. Patients diagnosed with MM form 2000 through 2017 were retrospectively enrolled. PE was evaluated by chest computed tomography (CT) scans. Independent predictors of overall survival (OS) were identified using a multivariable Cox regression model performed on variables selected by the least absolute shrinkage and selection operator (LASSO) algorithm. A nomogram was constructed based on these variables. The concordance index (C-index) and the calibration curve were used to evaluate the predictive performance of the nomogram. Among 861 patients analyzed, 368 patients developed PE. Multivariate cox regression and restricted mean survival time (RMST) analyses revealed that patients with PE experienced worse OS vs. patients without PE. A nomogram predictive of OS was constructed using PE, plasma cell proportion, international staging system (ISS) stage, Charlson comorbidity index (CCI), 1q21 gain, and autologous hematopoietic stem cell transplantation (HSCT). The nomogram showed satisfactory discrimination in the derivation cohort (C-index=0.729) and the validation cohort (C-index=0.684), outperforming the Durie-Salmon (DS) and ISS staging systems. Moreover, the nomogram accurately classified patients into two distinct high- and low-risk groups. PE is frequently encountered in the disease course for MM patients. We derivated and validated a novel nomogram for MM based on PE, outperforming the DS/ISS staging systems.

Early Use of Corticosteroid May Prolong SARS-CoV-2 Shedding in Non-Intensive Care Unit Patients with COVID-19 Pneumonia: A Multicenter, Single-Blind, Randomized Control Trial.

BACKGROUND: There is still no clinical evidence available to support or to oppose corticosteroid treatment for coronavirus disease 2019 (COVID-19) pneumonia. OBJECTIVE: To investigate the efficacy and safety of corticosteroid given to the hospitalized patients with COVID-19 pneumonia. METHODS: This was a prospective, multicenter, single-blind, randomized control trial. Adult patients with COVID-19 pneumonia who were admitted to the general ward were randomly assigned to either receive methylprednisolone or not for 7 days. The primary end point was the incidence of clinical deterioration 14 days after randomization. RESULTS: We terminated this trial early because the number of patients with COVID-19 pneumonia in all the centers decreased in late March. Finally, a total of 86 COVID-19 patients underwent randomization. There was no difference of the incidence of clinical deterioration between the methylprednisolone group and control group (4.8 vs. 4.8%, p = 1.000). The duration of throat viral RNA detectability in the methylprednisolone group was 11 days (interquartile range, 6-16 days), which was significantly longer than that in the control group (8 days [2-12 days], p = 0.030). There were no significant differences between the 2 groups in other secondary outcomes. Mass cytometry discovered CD3+ T cells, CD8+ T cells, and NK cells in the methylprednisolone group which were significantly lower than those in the control group after randomization (p < 0.05). CONCLUSIONS: From this prematurely closed trial, we found that the short-term early use of corticosteroid could suppress the immune cells, which may prolong severe acute respiratory syndrome coronavirus 2 shedding in patients with COVID-19 pneumonia. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04273321.

A cluster of health care workers with COVID-19 pneumonia caused by SARS-CoV-2.

BACKGROUND: The current outbreak of coronavirus disease 2019 (COVID-19) caused by Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, Hubei, China, spreads across national and international borders. METHODS: We prospectively collected medical records of 14 health care workers (HCWs) who were infected with SARS-CoV-2, in neurosurgery department of Wuhan Union Hospital, China. RESULTS: Among the 14 HCWs, 12 were conformed cases, the other 2 were suspected cases. Most of them were either exposed to the two index patients or infected coworkers, without knowing they were COVID-19 patients. There were 4 male and 10 female infected HCWs in this cohort, whose mean age was 36 years (SD, 6 years). The main symptoms included myalgia or fatigue (100%), fever (86%) and dry cough (71%). On admission, 79% of infected HCWs showed leucopenia and 43% lymphopenia. Reduced complement C3 could be seen in 57% of the infected HCWs and IL-6 was significantly elevated in 86% of them. The proportion of lymphocytes subsets, concentrations of immunoglobulins, complement C4, IL-2, IL-4, IL-10, TNF-α and IFN-γ were within normal range in these 14 infected HCWs. The most frequent findings on pulmonary computed tomographic images were bilateral multifocal ground-glass opacifications (86%). CONCLUSIONS: Human-to-human transmission of COVID-19 pneumonia has occurred among HCWs, and most of these infected HCWs with confirmed COVID-19 are mild cases. Our data suggest that in the epidemic area of COVID-19, stringent and urgent surveillance and infection-control measures should be implemented to protect doctors and nurses from COVID-19 infection.

Helper T cells in malignant pleural effusion.

Malignant pleural effusion (MPE) is a frequent complication of malignancies and poses a clinical problem. CD4+ T lymphocytes are the most frequent cell population in MPE. Traditionally, CD4+ T cells are classified into two subsets based on cytokine production profiles, type 1 (Th1) and type 2 (Th2) helper T cells, which exhibit distinct functions. Recently, other T-cell subsets have been added to the Th-cell "portfolio", including regulatory T, Th17, Th9, and Th22 cells. The current review focuses on summarizing the Th-cell phenotypic characteristics, mechanism of Th-cell differentiation, and their pleural space recruitment, based on recent research. We also describe the interplay in MPE among different Th cells, as well as Th cells and lung cancer cells or mesothelial cells. Future research should expand the landscape map of human MPE immune cells, explore the immuno-regulation of B cells, and investigate the communication between macrophages and Th cells in MPE, which may facilitate meaningful advancements in the diagnoses and therapeutics of MPE.

TSAd Plays a Major Role in Myo9b-Mediated Suppression of Malignant Pleural Effusion by Regulating TH1/TH17 Cell Response.

Emerging evidence indicates that Myo9b is a cancer metastasis-related protein and functions in a variety of immune-related diseases. However, it is not clear whether and how Myo9b functions in malignant pleural effusion (MPE). In this study, our data showed that Myo9b expression levels correlated with lung cancer pleural metastasis, and nucleated cells in MPE from either patients or mice expressed a lower level of Myo9b than those in the corresponding blood. Myo9b deficiency in cancer cells suppressed MPE development via inhibition of migration. Myo9b deficiency in mice suppressed MPE development by decreasing TH1 cells and increasing TH17 cells. CD4+ naive T cells isolated from Myo9b-/- mouse spleens exhibited less TH1 cell differentiation and more TH17 cell differentiation in vitro. mRNA sequencing of nucleated cells showed that T cell-specific adaptor protein (TSAd) was downregulated in Myo9b-/- mouse MPE, and enrichment of the H3K27me3 mark in the TSAd promoter region was found in the Myo9b-/- group. Naive T cells purified from wild type mouse spleens transfected with TSAd-specific small interfering RNAs (siRNAs) also showed less TH1 cell differentiation and more TH17 cell differentiation than those from the siRNA control group. Furthermore, downregulation of TSAd in mice using cholesterol-conjugated TSAd-specific siRNA suppressed MPE development, decreased TH1 cells, and increased TH17 cells in MPE in vivo. Taken together, Myo9b deficiency suppresses MPE development not only by suppressing pleural cancer metastasis but also by regulating TH1/TH17 cell response via a TSAd-dependent pathway. This work suggests Myo9b and TSAd as novel candidates for future basic and clinical investigations of cancer.

Salivary microRNAs show potential as biomarkers for early diagnosis of malignant pleural effusion.

BACKGROUND: Malignant pleural effusion (MPE) is a common medical problem caused by multiple malignancies, especially lung cancers, and always comes along with a poor outcome. Early detection and diagnosis are important for improving the prognosis in patients with MPE. Salivary microRNAs (miRNAs) may represent a relatively convenient way for diagnosing MPE. We investigated the characteristics of salivary miRNAs of MPE patients, benign pleural effusion (BPE) patients, patients with a malignant tumor but without pleural effusion (MT), and healthy controls (HCs). We believe that they may show potential as a non-invasive and convenient biomarker for diagnosing MPE. METHODS: From January 1, 2019, to July 1, 2019, 57 MPE patients, 33 BPE patients, 50 MT patients, and 49 HCs were enrolled. To select candidate biomarkers, in the discovery phase, the salivary miRNA profiles were detected in three MPE patients and three HCs. Then, qPCR was used in the validation phase with 54 MPE patients, 33 BPE patients, 50 MT patients, and 46 HCs to assay the selected miRNAs. RESULTS: hsa-miR-4484 and hsa-miR-3663-3p were identified as potential biomarkers to diagnose MPE patients, with areas under the curve (AUC) of 0.768 and 0.666, respectively. The diagnostic efficacy was higher when the combination of both miRNAs was used, with an AUC of 0.802. No correlation was found between the volume of MPE and the expression of salivary miRNAs. CONCLUSIONS: This study reports the characterization of salivary miRNAs collected from MPE patients. A combination of hsa-miR-4484 and hsa-miR-3663-3p showed potential discriminatory power for MPE detection, and it may be helpful for the early diagnosis of MPE, i.e., before the pleural effusion volume is too large.

Blood Eosinophilia and Its Stability in Hospitalized COPD Exacerbations are Associated with Lower Risk of All-Cause Mortality.

Purpose: Peripheral blood eosinophilic counts are susceptible to many factors and have variability over time. There are limited studies on association of blood eosinophilia with long-term mortality of chronic obstructive pulmonary disease (COPD) patients and these results remain controversial. Our aims were to explore the association of blood eosinophilia at index hospitalization and stability of blood eosinophilia stability over 5 years with all-cause mortality of patients hospitalized for acute exacerbation of COPD (AECOPD). Patients and Methods: Eight hundred twenty-nine patients hospitalized for AECOPD between 2013 and 2014 were included in this study and grouped into two groups according to blood eosinophil with 150 cells/µL used as the cutoff value to form eosinophilic and non-eosinophilic groups. Two hundred forty-one COPD inpatients with at least three blood eosinophils measured from different hospitalizations were used for analysis of longitudinally eosinophilic stability and divided into three groups according to the same cutoff value: predominantly (PE), intermittently (IE) and rarely (RE) eosinophilic groups. Cox regression analysis was used to determine the association of blood eosinophilia and all-cause mortality. Results: In patients hospitalized for AECOPD, 261 (31.5%) at baseline and 41 (17%) based on at least three measurements of blood eosinophils had increased blood eosinophils. For all-cause mortality, eosinophilic COPD patients at index hospitalization had a lower all-cause mortality compared with non-eosinophilic COPD patients (hazard ratio 0.77, 95% confidence interval 0.6-0.99, P=0.04). In patients readmitted for AECOPD by longitudinal eosinophil stability, with the RE group used as reference, the PE group was associated with a lower all-cause mortality of AECOPD patients (hazard ratio 0.43, 95% confidence interval 0.22-0.85, P=0.016), compared to the IE group (hazard ratio 0.72, 95% confidence interval 0.47-1.11, P=0.133). Conclusion: Patients with increased eosinophils (using eosinophil 150 cells/µL as a cutoff value), especially predominantly increased eosinophil levels based on multiple measurements, had a lower risk of all-cause mortality. Blood eosinophilia can be used as a biomarker in hospitalized COPD exacerbations for predicting the risk of all-cause mortality.