Diagnostic Value of the Microbiome in the Bronchoalveolar Fluid of Patients with Lung masses and its Relationship with their Clinical Features

2020 ◽  
Author(s):  
Maosong Ye ◽  
Jian Zhou ◽  
Shengdi Wu ◽  
Jingrong Xia ◽  
Sulan Wei ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Clinical Features ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Response To Chemotherapy ◽  
Cancer Subtype ◽  
Bronchoalveolar Fluid ◽  
The Relationship ◽  
Generation Sequencing ◽  
Benign Mass

Abstract Background: Bacterial communities were demonstrated to be correlated with patients with several respiratory diseases. Although some studies have been performed on the composition of the microbiota in lung cancer, the issue has not been fully addressed. Therefore, we characterized the microbiomes of patients with lung cancer and benign mass-like lesions and evaluated the relationship between microbiota and clinical features.Methods: Bronchoalveolar fluid of patients with lung masses was collected and analyzed by 16S rRNA-based next-generation sequencing. Then, the relationships between the composition of the microbiota and clinical features were evaluated. Results: The relative abundance of two genera, Megasphaera and Norank_p_saccharibacteria, and two phyla, Firmicutes and Saccharibacteria, were significantly increased, while one phyla Proteobacteria was decreased in patients with lung cancer. The genera Atoprevotella and 1 phylum, Bacteroidetes, were increased in patients with SCLC, while 1 phylum, Chloroflexi, was more abundant in patients with NSCLC than those with SCLC. Moreover, the patients whose BALF was enriched with the genus Capnocytophaga seemed to have a better response to cisplatin-based chemotherapy. The area under the curve of a combination of two genera (megasphera and norank_p_Saccharibacteria) used to predict lung cancer was 0.803. The area under the curve of the genus Capnocytophaga in predicting the response to chemotherapy was 0.850.Conclusions: There are differences in the composition of the microbiome of patients with lung cancer and those with benign mass-like lesions. The lung microbiota may be used as a biomarker for diagnosing lung cancer and differentiating the cancer subtype and might have an impact in the response to cisplatin-based chemotherapy among patients with lung cancer.

scholarly journals Clinically Correlated MicroRNAs in the Diagnosis of Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Min Jiang ◽  
Xuelian Li ◽  
Xiaowei Quan ◽  
Xiaoying Li ◽  
Baosen Zhou
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Meta Analysis ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Small Cell ◽  
Diagnostic Tools ◽  
Small Cell Lung ◽  
Diagnostic Efficacy

(1) Background. Non-small cell lung cancer (NSCLC) has a high mortality rate. MiRNAs have been found to be diagnostic biomarkers for NSCLC. However, controversial results exist. We conducted this meta-analysis to evaluate the diagnostic value of miRNAs for NSCLC.(2) Methods. Databases and reference lists were searched. Pooled sensitivity (SEN), specificity (SPE), and area under the curve (AUC) were applied to examine the general diagnostic efficacy, and subgroup analysis was also performed.(3) Results. Pooled SEN, SPE, and AUC were 85%, 88%, and 0.93, respectively, for 71 studies. Multiple miRNAs (AUC: 0.96) obtained higher diagnostic value than single miRNA (AUC: 0.86), and the same result was found for Caucasian population (AUC: 0.97) when compared with Asian (AUC: 0.91) and Caucasian/African population (AUC: 0.92). MiRNA had higher diagnostic efficacy when participants contained both smokers and nonsmokers (AUC is 0.95 for imbalanced group and 0.91 for balanced group) than when containing only smokers (AUC: 0.90). Meanwhile, AUC was 0.91 for both miR-21 and miR-210.(4) Conclusions. Multiple miRNAs such as miR-21 and miR-210 could be used as diagnostic tools for NSCLC, especially for the Caucasian and nonsmoking NSCLC.

scholarly journals Study on Serum miR-204 Expression Levels in Patients with Severe Pneumonia and Patients with Primary Bronchial Lung Cancer and Its Diagnostic Value

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Wenhong Zheng ◽  
Wei Huang ◽  
Xuchao Yu
Keyword(s):  
Lung Cancer ◽  
Severe Pneumonia ◽  
Diagnostic Value ◽  
Control Group ◽  
Qrt Pcr ◽  
Kaplan Meier ◽  
Significant Difference ◽  
The Difference ◽  
The Relationship ◽  
Low Expression

Objective. To analyze the expression and clinical significance of miR-204 in the serum of patients with severe pneumonia (SP) and primary bronchial lung cancer (LC). Methods. 65 SP patients and 43 primary bronchial LC patients who were treated in the hospital from January 2017 to December 2018 were randomly selected as the SP group and LC group. At the same time, healthy patients from the physical examination department of the hospital were selected. 65 cases were the control group. QRT-PCR detected serum miR-204 expression and compared the differences between groups. The pathological data of patients were collected, and the relationship between serum miR-204 and the patient’s pathological data was compared; the area under the ROC curve and Kaplan–Meier curve were used to evaluate the diagnostic value of serum miR-204 for the two conditions and to explore the relationship between serum miR-204 and prognosis. Results. The serum miR-204 of the SP group was (0.43 ± 0.09), the serum miR-204 of the LC group was (0.40 ± 0.10), the serum miR-204 of the control group was (1.00 ± 0.09), and the miR-204 level of was significantly higher than that of the control group, and the difference between the groups was statistically significant ( P  < 0.05). There was no significant difference in serum miR-204 levels between the SP group and the LC group ( P  > 0.05). Serum miR-204 levels in SP patients with cumulative organs ≥3 were higher than those with cumulative organs <3, and the difference was statistically significant ( P  < 0.001). In the LC group, in patients with stage III to IV and low and undifferentiated patients, the level of miR-204 was higher than that of stage I∼II and high and moderately differentiated patients, and the difference was statistically significant ( P  < 0.001). The level of miR-204 in the two groups of patients (0.89 ± 0.10, 0.83 ± 0.13) who died of illness was significantly higher than that of the surviving patients (1.00 ± 0.11, 1.00 ± 0.10), and the difference was statistically significant ( P  < 0.05); the survival rate of patients with high expression of miR-204 was higher than that of patients with low expression. The AUC of serum miR-204 level to SP and LC was 0.766 and 0.818, respectively. Conclusion. The level of miR-204 in the serum of SP patients and patients with primary bronchial LC was significantly lower than that of healthy people, and patients who died were lower than those who survived; the miR-204 in serum has a good diagnostic value for SP and LC and is related to the survival and prognosis of patients.

scholarly journals Lack of Efficacy of Combined Carbohydrate Antigen Markers for Lung Cancer Diagnosis

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zhineng Wen ◽  
Ying Huang ◽  
Zhougui Ling ◽  
Jifei Chen ◽  
Xiaomou Wei ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Markers ◽  
Cell Lung Cancer ◽  
Area Under The Curve ◽  
Nonsmall Cell Lung Cancer ◽  
Diagnostic Value ◽  
Carbohydrate Antigen ◽  
Ca 125 ◽  
Chi Square ◽  
Diagnostic Efficacy

Background. Lung cancer (LC) is top-ranked in cancer incidence and is the leading cause of cancer death globally. Combining serum biomarkers can improve the accuracy of LC diagnosis. The identification of the best potential combination of traditional tumor markers is essential for LC diagnosis. Patients and Methods. Blood samples were collected from 132 LC cases and 118 benign lung disease (BLD) controls. The expression levels of ten serum tumor markers (CYFR21, CEA, NSE, SCC, CA15-3, CA 19-9, CA 125, CA50, CA242, and CA724) were assayed, and that the expression in the levels of tumor markers were evaluated, isolated, and combined in different patients. The performance of the biomarkers was analyzed by receiver operating characteristic (ROC) analyses, and the difference between combinations of biomarkers was compared by Chi-square ( χ 2 ) tests. Results. As single markers, CYFR21 and CEA showed good diagnostic efficacy for nonsmall cell lung cancer (NSCLC) patients, while NSE and CEA were the most sensitive in the diagnosis of small cell lung cancer (SCLC). The area under the curve (AUC) value was 0.854 for the panel of four biomarkers (CYFR21, CEA, NSE, and SCC), 0.875 for the panel of six biomarkers (CYFR21, CEA, NSE, SCC, CA125, and CA15-3), and 0.884 for the panel of ten markers (CYFR21, CEA, NSE, SCC, CA125, CA15-3, CA19-9, CA50, CA242, and CA724). With a higher sensitivity and negative predictive value (NPV), the diagnostic accuracy of the three panels was better than that of any single biomarker, but there were no statistically significant differences among them (all P values > 0.05). However, the panel of six carbohydrate antigen (CA) biomarkers (CA125, CA15-3, CA19-9, CA50, CA242, and CA724) showed a lower diagnostic value (AUC: 0.776, sensitivity: 59.8%, specificity: 73.0%, and NPV: 60.4%) than the three panels ( P value < 0.05). The performance was similar even when analyzed individually by LC subtypes. Conclusion. The biomarkers isolated are elevated for different types of lung cancer, and the panel of CYFR21, CEA, NSE, and SCC seems to be a promising serum biomarker for the diagnosis of lung cancer, while the combination with carbohydrate antigen markers does not improve the diagnostic efficacy.

scholarly journals Downregulated Expression of linc-ROR in Gastric Cancer and Its Potential Diagnostic and Prognosis Value

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Xiuchong Yu ◽  
Haixiang Ding ◽  
Yijiu Shi ◽  
Liangwei Yang ◽  
Jiaming Zhou ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Noncoding Rna ◽  
Area Under The Curve ◽  
Diagnostic Value ◽  
Normal Tissues ◽  
Kaplan Meier ◽  
Polymerase Chain ◽  
Long Intergenic Noncoding Rna ◽  
Clinical Potential ◽  
The Relationship

Background. Gastric cancer (GC) is one of the global mortality diseases and has a poor prognosis due to the lack of ideal tumor biomarkers. Numerous studies have shown that long noncoding RNAs (lncRNAs) can affect the occurrence and development of cancer through a variety of signaling pathways. The abnormal expression and specificity of lncRNAs in tumors make them potential biomarkers of cancers. Nevertheless, the diagnostic roles of lncRNAs in GC have been poorly understood. So this study focuses on the clinical diagnostic value of lncRNAs in GC. Materials and Methods. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was used to investigate the expression of the linc-ROR (long intergenic noncoding RNA, regulator of reprogramming) in 105 paired GC tissues and adjacent normal tissues. Receiver operating characteristic (ROC) curve and area under the curve (AUC) were established to assess the diagnostic value of linc-ROR. The relationship between expression of linc-ROR and clinicopathological factors of patients with GC was further explored. Kaplan-Meier analysis was performed to evaluate the prognostic value of linc-ROR expression. Results. The linc-ROR expression level was significantly decreased in GC tissues compared with its adjacent nontumor tissues ( n = 105 , P < 0.001 ). We also discovered that linc-ROR was evidently downregulated in 68.6% (72/105) of GC tissues. The AUC’s value of linc-ROR was up to 0.6495, with sensitivity and specificity of 0.7524 and 0.5143, respectively. Intriguingly, the linc-ROR expression levels were obviously associated with tumor differentiation ( P = 0.004 ). Notably, the overall survival rate of GC patients with high expression of linc-ROR was significantly higher than those with low expression. Conclusion. Our data revealed that linc-ROR has clinical potential as a biomarker for the diagnosis of GC and assessment of its prognosis.

scholarly journals Circulating miRNome of Trachemys scripta after elective gonadectomy under general anesthesia

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Edoardo Bardi ◽  
Stefano Brizzola ◽  
Giuliano Ravasio ◽  
Stefano Romussi ◽  
Paola Dall’Ara ◽  
...  
Keyword(s):  
Area Under The Curve ◽  
High Sensitivity ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Potential Candidate ◽  
Post Surgery ◽  
The Status ◽  
Profile Changes ◽  
First Time ◽  
Generation Sequencing

AbstractPost-surgical management is an important issue in veterinary medicine, requiring biomarkers with high sensitivity and specificity for timely and effective treatment. Emerging evidence suggests that miRNAs are promising stress- and pain-related markers. The aims were to profile the circulating miRNA signature in plasma of turtles (Trachemysscripta) and point out potential candidate biomarkers to assess the status of the animal. The plasma of female turtles underwent surgical gonadectomy were collected 24 h pre-surgery, and 2.5 h and 36 h post-surgery. The expression of miRNAs was profiled by Next Generation Sequencing and the dysregulated miRNAs were validated using RT-qPCR. The diagnostic value of miRNAs was calculated by ROC curves. The results showed that 14 miRNAs were differentially expressed over time. RT-qPCR validation highlighted that 2-miR-499-3p and miR-203-5p-out of 8 miRNAs tested were effectively modulated. The Area Under the Curve (AUC) of miR-203-5p was fair (AUC 0.7934) in discriminating pre- and 36 h post-surgery samples and poor for other time points; the AUC of miR-499-3p was excellent (AUC 0.944) in discriminating pre-surgery and 2.5 h post-surgery samples, and fair in discriminating pre-surgery and 36 h post-surgery (AUC 0.7292) and 2.5 h and 36 h post-surgery (AUC 0.7569) samples. In conclusion, we demonstrated for the first time that miRNAs profile changes in plasma of turtles underwent surgical oophorectomy and identified miR-203-5p and miR-499-3p as potential candidate biomarkers to assess animals' status. Further studies are necessary to confirm their diagnostic value and to investigate functional and mechanistic networks to improve our understanding of the biological processes.

scholarly journals MicroRNA-449a Plays an Indicative Role in Diagnosing Lung Cancer

2020 ◽  
Author(s):  
Jun Yang ◽  
Hua Zhong ◽  
Qinghui Yang ◽  
Jian Yu ◽  
Cailing Jin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Roc Curve ◽  
Diagnostic Value ◽  
Smoking History ◽  
Lung Cancer Patients ◽  
Incidence And Mortality ◽  
Common Causes ◽  
Healthy Control ◽  
The Relationship

Abstract Background: Lung cancer is one of the most common causes of cancer death among all the malignancies worldwide. Evidences suggest that the incidence and mortality of lung cancer has been on the rise. MicroRNA-449a (miR-449a) as one important member of microRNAs, has been demonstrated acting as a tumor suppressor in lung cancer. In this study, we sought to assess the relationship between miR-449a expression level and diagnostic value of lung cancer.Methods: In this present research, quantitative Real-Time PCR was applied to detect the miR-449a expression in 116 lung cancer patients and 41 healthy volunteers. The diagnostic value of miR-449a in lung cancer patients was determined by receiver operating characteristic (ROC) curve.Results: MiR-449a was significantly down-regulated in lung cancer patients compared with healthy control (P<0.05). In addition, miR-449a expression was associated with sex (P=0.004), tumor size (P=0.000), TNM stage (P=0.006) and metastasis (P=0.036). However, there was no correlation with age, smoking history and histological type of lung cancer patients (all P＞0.05). In the ROC analysis, the results showed that the area under the ROC curve (AUC) was 0.902 with the sensitivity of 94.8% and specificity of 78.0%, and the optimum cutoff value was 2.255.Conclusion: MiR-449a expression was down-regulated in lung cancer patients, and it could be an efficient diagnostic biomarker in lung cancer patients.

scholarly journals Diagnostic Biomarker KIF23 is Associated With Immune Infiltration in Gastric Cancer

2021 ◽  
Author(s):  
Maoshu Bai ◽  
Xin Liu
Keyword(s):  
Gastric Cancer ◽  
Area Under The Curve ◽  
Enrichment Analysis ◽  
Progression Free Survival ◽  
Roc Curves ◽  
Diagnostic Value ◽  
Expression Level ◽  
Diagnostic Biomarker ◽  
Immune Infiltration ◽  
The Relationship

Abstract Background: Kinesin family member 23 (KIF23), an index of tumor proliferation, can serve as a prognostic marker in numerous tumors. However, the relationship between KIF23 expression and immune infiltration and the diagnostic value of KIF23 remain unclear in GC (gastric cancer). This study aimed to explored the diagnostic value of KIF23 and its interactions with tumor-infiltrating immune cells in GC by bioinformatics analysis. Mothods: The relationship between clinicopathologic features and KIF23 expression was also analyzed using the Wilcoxon rank-sum test and logistic regression. And the expression level of KIF23 was validated by IHC and GEO databases, which was consistent with informatics results. Receiver operating characteristic (ROC) curves were generated to evaluate the value of KIF23 as a binary classifier using the area under the curve (AUC value).Results: High expression of KIF23 was significantly associated with longer overall survival and progression-free survival in GC. The mutations of KIF23 in GC were analyzed using cBioPortal and the Catalogue of Somatic Mutations in Cancer database. Enrichment analysis of co-expressed genes and KIF23 analysis was performed using LinkedOmics. By using STRING and GeneMANIA databases, we investigated the protein-coding genes related to KIF23 and its co-expression genes in GC tissues. Then, the relationship between KIF23 expression and immune infiltration in GC was investigated using Timer and GEPIA. We found that KIF23 might be used as a potential diagnostic biomarker in GC. Subsequently, KIF23 expression level was correlated with the infiltration levels of CD8 + T cells, macrophages, neutrophils, and more obviously with B cells and dendritic cells. In addition, KIF23 expression was significantly associated with T cell exhaustion (CTLA-4 and GZMB). KIF23 expression showed correlations with the infiltration of diverse immune markers in GC. Conclusions: Our findings suggest KIF23 can serve as a marker for immune infiltration and diagnostic in GC, making it a potential treatment of target.

Sign in / Sign up

Export Citation Format

Share Document