The predicting roles of carcinoembryonic antigen and its underlying mechanism in the progression of coronavirus disease 2019

BACKGROUND

The coronavirus disease 2019 (COVID-19) has induced a worldwide epidemiological event with a high infectivity and mortality. However, the predicting biomarkers and their potential mechanism in the progression of COVID-19 are not well known.

OBJECTIVE

The aim of this study is to identify the candidate predictors of COVID-19 and investigate their underlying mechanism.

METHODS

The retrospective study was conducted to identify the potential laboratory indicators with prognostic values of COVID-19 disease. Then, the prognostic nomogram was constructed to predict the overall survival of COVID-19 patients. Additionally, the scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of the most important prognostic indicators in lungs and peripherals, respectively.

RESULTS

In total, 304 hospitalized adult COVID-19 patients in Wuhan Jinyintan Hospital were included in the retrospective study. CEA was the only laboratory indicator with significant difference in the univariate (P < 0.001) and multivariate analysis (P = 0.020). The scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of CEA in lungs and peripherals, respectively. The results revealed the potential roles of CEA were significantly distributed in type II pneumocytes of BALF and developing neutrophils of PBMCs, participating in the progression of COVID-19 by regulating the cell-cell communication.

CONCLUSION

This study identifies the prognostic roles of CEA in COVID-19 patients and implies the potential roles of CEACAM8-CEACAM6 in the progression of COVID-19 by regulating the cell-cell communication of developing neutrophils and type II pneumocyte.

Survival of patients with asbestosis can be assessed by risk-predicting models

OBJECTIVES

Our aim was to investigate the pulmonary function test (PFT) results of patients with asbestosis and determine whether baseline PFTs and the risk-predicting models such as gender, age and physiologic (GAP) variables model and composite physiologic index (CPI) would be useful in predicting survival in these patients.

METHODS

Demographics and PFTs of 100 patients with asbestosis were evaluated. The survival difference between the GAP stages was determined with Kaplan-Meier survival curves with statistical significance analysed with log-rank test. The suitability of the risk-predicting models and baseline PFTs to predict the survival of patients was analysed with Cox regression.

RESULTS

At baseline, the mean value of diffusion capacity for carbon monoxide (DLCO) was 65%; for forced vital capacity it was 81%, with restrictive lung function being the most common impairment. The median estimated survival of the patients was 124 months, that is, 171 months in GAP stage I, 50 months in stage II and 21 months in stage III (p<0.001). CPI, DLCO% predicted, age at baseline and GAP stage were significant predictors of mortality (all p values under 0.001).

CONCLUSIONS

GAP and CPI as well as baseline DLCO% predicted were significant parameters in the evaluation of the prognosis of the patients with asbestosis; they may be useful in clinical practice when considering treatment strategies of individual patients.

Automated Diseased Lung Volume Percentage Calculation in Quantitative CT Evaluation of Chronic Obstructive Pulmonary Disease and Idiopathic Pulmonary Fibrosis

OBJECTIVE

Several software-based quantitative computed tomography (CT) analysis methods have been developed for assessing emphysema and interstitial lung disease. Although the texture classification method appeared to be more successful than the other methods, the software programs are not commercially available, to our knowledge. Therefore, this study aimed to investigate the usefulness of a commercially available software program for quantitative CT analyses.

METHODS

This prospective cohort study included 80 patients with chronic obstructive pulmonary disease (COPD) or idiopathic pulmonary fibrosis (IPF).

RESULTS

The percentage of low attenuation volume and high attenuation volume had high sensitivity and high specificity for detecting emphysema and pulmonary fibrosis, respectively. The percentage of diseased lung volume (DLV%) was significantly correlated with the lung diffusion capacity for carbon monoxide in all patients with COPD and IPF patients.

CONCLUSIONS

The quantitative CT analysis may improve the precision of the assessment of DLV%, which itself could be a useful tool in predicting lung diffusion capacity in patients with the clinical diagnosis of COPD or IPF.

Pretreatment prognostic nutritional index as a prognostic factor in lung cancer: Review and meta-analysis

BACKGROUND

Numerous studies have explored the association between pretreatment prognostic nutritional index (PNI) and prognosis in lung cancer (LC), but the results are still inconclusive. We systematically evaluated the prognostic value of pretreatment PNI in LC patients by conducting a meta-analysis.

METHODS

A comprehensive literature search was performed by retrieving PubMed, EMBASE, and Web of Science, Wan Fang and CNKI databases. We used hazard ratios (HRs) and their 95% confidence intervals (CIs) to assess the associations of PNI with overall survival (OS), disease-free survival/recurrence-free survival (DFS/RFS) and progression-free survival (PFS) in LC patients.

RESULTS

A total of 21 studies were enrolled into this meta-analysis, with 17 about no-small cell lung cancer (NSCLC) and 4 about on small-cell lung cancer (SCLC). The results indicated that NSCLC patients with low PNI had shorter OS (HR: 1.59, 95% CI: 1.28-1.96, P = 0.001), DFS/RFS (HR = 1.74, 95% CI = 1.08-2.80, P = 0.017), and PFS (HR = 1.52, 95% CI = 1.26-1.83, P = 0.002) than patients with high PNI. The robustness of these pooled results were verified by our stratified analysis and sensitivity analysis. Besides, a pooled analysis of 4 studies about SCLC suggested that low PNI was closely associated with worse OS in SCLC patients as well.

CONCLUSION

Low PNI predicts poor survival in LC patients.

Clinical characteristics and outcomes of lung cancer patients with combined pulmonary fibrosis and emphysema: a systematic review and meta-analysis of 13 studies

Background

The characteristic and outcomes of lung cancer patients with combined pulmonary fibrosis and emphysema (CPFE) have long been assessed, but results were controversial. Therefore, we performed a meta-analysis to assess the clinical features and prognosis of lung cancer patients with CPFE.

Methods

The databases PubMed, Embase, and Web of Science (updated to October 1, 2017) were searched for eligible studies. Pooled odds ratios (ORs), weighted mean differences (WMD) or hazard ratios (HRs) with 95% confidence intervals (95% CIs) were used to evaluate the clinicopathological characteristics, the short-term outcome after operation and long-term survival of lung cancer patients with CPFE compared with lung cancer patients without CPFE (fibrosis, emphysema, and normal).

Results

Thirty original studies with 8,050 patients were included in this meta-analysis. The pooled results indicated that lung cancer patients with CPFE were associated with higher age (MD =3.39; 95% CI: 2.12-4.67, P<0.001), male (OR =8.46; 95% CI: 6.36-11.26, P<0.001), ex- or current smoker (OR =39.65; 95% CI: 15.64-100.5, P<0.001), longer smoking history (MD =15.56; 95% CI: 3.73-27.39, P=0.01), lower DLCO% (MD =-13.82; 95% CI: -21.4 to -6.24, P<0.001), squamous cell carcinoma histology (OR =3.55; 95% CI: 2.49-5.05, P<0.001), the lower lobes (OR =1.92; 95% CI: 1.52-2.43, P<0.001), advanced pathological stage (OR =1.55; 95% CI: 1.22-1.96, P<0.001). Lung cancer patients with CPFE had higher 30-day mortality (OR =4.72, 95% CI: 2.06-10.85, P<0.001), 90-day mortality (OR =5.33; 95% CI: 1.39-20.42, P=0.01), and incidence of postoperative complications (OR =5.25, 95% CI: 2.38-11.57, P<0.001). In addition, the lung cancer patients with CPFE had a poorer OS (HR =2.006, 95% CI: 1.347-2.986, P=0.001) than lung cancer patients without CPFE.

Conclusions

This meta-analysis demonstrated that lung cancer patients with CPFE have more aggressive clinical characteristic and a poor prognosis, suggesting that lung cancer patients with CPFE should be early detected, treated reasonably and be taken good care of.