Elevated Interleukin-6 Levels in the Circulation and Peritoneal Fluid of Patients with Ovarian Cancer as a Potential Diagnostic Biomarker: A Systematic Review and Meta-Analysis.
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SUBMITTER: Amer H
PROVIDER: S-EPMC8704427 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Glioma is the most common malignant intracranial tumour. Recently, several publications have suggested that miRNAs can be used as potential diagnostic biomarkers of glioma. Here we performed a meta-analysis to identify the diagnostic accuracy of differentially expressed circulating miRNAs in gliomas. Using PubMed, Medline and Cochrane databases, we searched for studies which evaluated a single or panel of miRNAs from circulating blood as potential biomarkers of glioma. Sixteen publications involving 23 studies of miRNAs from serum or plasma met our criteria and were included in this meta-analysis. The pooled diagnostic parameters were calculated by random effect models and overall diagnostic performance of altered miRNAs was illustrated by the summary receiver operator characteristic (SROC) curves. The pooled sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR) from each study were calculated. The pooled PLR, NLR and Diagnostic Odds Ratio were 6.39 (95% CI, 4.61-8.87), 0.15 (95% CI, 0.11-0.21) and 41.91 (95% CI, 23.15-75.88), respectively. The pooled sensitivity, specificity and area under the curve (AUC) were 0.87 (95% CI, 0.82-0.91), 0.86 (95% CI, 0.82-0.90) and 0.93 (95% CI, 0.91-0.95), respectively. This meta-analysis demonstrated that circulating miRNAs are capable of distinguishing glioma from healthy controls. Circulating miRNAs are promising diagnostic biomarkers for glioma and can potentially be used as a non-invasive early detection.
| S-EPMC5812551 | biostudies-literature
Project description:Abstract Background Previous studies reported that patients with asthma showed higher levels of interleukin (IL)‐33 in peripheral blood, compared to healthy control (HCs). However, we also noticed that there were no significant differences of IL‐33 levels between controls and asthma patients in a recent study. We aim to conduct this meta‐analysis and evaluate the feasibility of IL‐33 in peripheral blood that may act as a promising biomarker in asthma. Methods Articles published before December 2022 were searched in these databases (PubMed, Web of Science, EMBASE, and Google Scholar). We used STATA 12.0 software to compute the results. Results The study showed that asthmatics showed higher IL‐33 level in serum and plasma, compared to HCs (serum: standard mean difference [SMD] 2.06, 95% confidence interval [CI] 1.12−3.00, I2 = 98.4%, p < .001; plasma: SMD 3.67, 95% CI 2.32−5.03, I2 = 86.0%, p < .001). Subgroup analysis indicated that asthma adults showed higher IL‐33 level in serum, compared to HCs, whereas no significant difference in IL‐33 level in serum was showed between asthma children and HCs (adults: SMD 2.17, 95% CI 1.09−3.25; children: SMD 1.81, 95% CI −0.11 to 3.74). The study indicated that moderate and severe asthmatics showed higher IL‐33 level in serum, compared to mild asthmatics (SMD 0.78, 95% CI 0.41−1.16, I2 = 66.2%, p = .011). Conclusions In conclusion, the main findings of present meta‐analysis suggested that there was a significant correlation between IL‐33 levels and the severity of asthma. Therefore, IL‐33 levels of either serum or plasma may be regarded as a useful biomarker of asthma or the degree of disease. In conclusion, the main findings of present meta‐analysis suggested that there was significant correlation between interleukin (IL)‐33 levels and the severity of asthma. Therefore, the IL‐33 levels of either serum or plasma may be regarded as a useful biomarker of asthma or the degree of disease. However, we can not ignore the influences of ethnic and age factors on the IL‐33 levels. It is encouraged that data from multi‐center, well‐designed and large sample size studies should be conducted for validating the clinical value of IL‐33 on asthma.
| S-EPMC10116908 | biostudies-literature
Project description:BackgroundThere is growing evidence that interleukin 35 (IL-35) represents a potential diagnostic biomarker for sepsis. The purpose of this meta-analysis was to evaluate the overall diagnostic accuracy of IL-35 in sepsis.Materials and methodsFrom October 1998 to May 2022, set retrieval standards were used to search literature Databases. Each included study was assessed diagnostic accuracy study quality assessment tool. Two researchers independently extracted the data and research features. If there are differences, the issue will be resolved by mutual agreement. Meta-disc and Stata software were utilized to calculate combined sensitivity, specificity, and summary diagnostic odds ratio (SDOR), I 2, or Cochrane Q in order to detection for heterogeneity, and meta-regression was performed to figure out the cause of heterogeneity. Utilizing funnel plots, we tested for publication bias.ResultsIn this meta-analysis, eight publications were included. The combined sensitivity, specificity, and DOR were 0.87 (95% CI, 0.77-0.93), 0.73 (95% CI, 0.60-0.83), and 18.26 (95% CI, 9.70-34.37), respectively. In addition, 0.88 (95% CI, 0.84-0.90) was the area under the summary receiver operating characteristic curve. In the heterogeneity analysis, the sensitivity of comprehensive I 2 statistic was 84.38, and the specificity was 87.82. Deeks' funnel plot showed no publication bias in this meta-analysis (P = 0.17). A meta-analysis revealed that IL-35 has a modest sensitivity (AUC = 0.88) for diagnosing sepsis. We also compared the diagnostic accuracy of IL-35 and procalcitonin (PCT), and our results showed that the diagnostic accuracy parameters for IL-35 were significantly higher than those for PCT.ConclusionInterleukin 35 is a valuable biomarker for the early detection of sepsis. However, the data should be combined with clinical symptoms, signs, and laboratory and microbiological findings.
| S-EPMC9691458 | biostudies-literature
Project description:Epithelial ovarian cancer (OC) is the most deadly cancer of the female reproductive system. To date, there is no effective screening method for early detection of OC and current diagnostic armamentarium may include sonographic grading of the tumor and analyzing serum levels of tumor markers, Cancer Antigen 125 (CA-125) and Human epididymis protein 4 (HE4). Microorganisms (bacterial, archaeal, and fungal cells) residing in mucosal tissues including the gastrointestinal and urogenital tracts can be altered by different disease states, and these shifts in microbial dynamics may help to diagnose disease states. We hypothesized that the peritoneal microbial environment was altered in patients with OC and that inclusion of selected peritoneal microbial features with current clinical features into prediction analyses will improve detection accuracy of patients with OC. Blood and peritoneal fluid were collected from consented patients that had sonography confirmed adnexal masses and were being seen at SIU School of Medicine Simmons Cancer Institute. Blood was processed and serum HE4 and CA-125 were measured. Peritoneal fluid was collected at the time of surgery and processed for Next Generation Sequencing (NGS) using 16S V4 exon bacterial primers and bioinformatics analyses. We found that patients with OC had a unique peritoneal microbial profile compared to patients with a benign mass. Using ensemble modeling and machine learning pathways, we identified 18 microbial features that were highly specific to OC pathology. Prediction analyses confirmed that inclusion of microbial features with serum tumor marker levels and control features (patient age and BMI) improved diagnostic accuracy compared to currently used models. We conclude that OC pathogenesis alters the peritoneal microbial environment and that these unique microbial features are important for accurate diagnosis of OC. Our study warrants further analyses of the importance of microbial features in regards to oncological diagnostics and possible prognostic and interventional medicine.
| S-EPMC6952086 | biostudies-literature
Project description:AimPeritoneal metastases (PM) frequently occur in patients with gastric cancer and result in a poor prognosis. Exosomes play pivotal roles in tumor metastasis through the transfer of microRNAs (miRNAs). We examined the exosomal miRNA profile in peritoneal fluids to identify novel biomarkers to reflect tumor burden in the peritoneum.MethodsExosomes were isolated from peritoneal fluids of patients of gastric cancer with macroscopic (P1) or microscopic (P0CY1) peritoneal metastasis (PM) and comprehensive miRNA expression analysis was carried out. Expressions of candidate miRNAs were then validated in all 58 samples using TaqMan Advanced miRNA Assays.ResultsIn initial screening, we carried out comprehensive analysis of exosomal miRNA using peritoneal fluids from 11 and 14 patients with or without PM, respectively, and identified 11 dysregulated miRNAs in PM (+) samples. Validation analysis showed that four miRNAs (miR-21-5p, miR-92a-3p, miR-223-3p, and miR-342-3p) were significantly upregulated in 12 PM (+) samples, and their expression levels showed positive correlation with peritoneal cancer index. In contrast, miR-29 family were all downregulated in patients with PM (+) samples. Moreover, in 24 patients with pT4 tumor, miR-29 at gastrectomy tended to be lower in six patients with peritoneal recurrence with significant differences in miR-29b-3p (P = .012).ConclusionExpression pattern of miRNAs in peritoneal exosomes well reflects the tumor burden in the peritoneal cavity and could be a useful biomarker in the treatment of PM.
| S-EPMC6992685 | biostudies-literature
Project description:BackgroundMicroRNA-30a (miRNA-30a) levels have been shown to increase in the plasma of lung cancer patients. Herein, we evaluated the miRNA-30a levels in the bronchoalveolar lavage fluid (BALF) of lung cancer patients as a potential biomarker for lung cancer diagnosis.MethodsBALF miRNA-30a expression of 174 subjects was quantified using quantitative real-time reverse transcription-polymerase chain reaction and compared between lung cancer patients and control patients with benign lung diseases. Moreover, its diagnostic value was evaluated by performing receiver operating characteristic (ROC) curve analysis.ResultsThe relative BALF miRNA-30a expression was significantly higher in the lung cancer patients than in the controls (0.74 ± 0.55 versus 0.07 ± 0.48, respectively, p < 0.001) as well as in lung cancer patients with stage I-IIA disease than in those with stage IIB-IV disease (0.98 ± 0.64 versus 0.66 ± 0.54, respectively, p < 0.05). Additionally, miRNA-30a distinguished benign lung diseases from lung cancers, with an area under the ROC curve (AUC) of 0.822. ROC analysis also revealed an AUC of 0.875 for the Youden index-based optimal cut-off points for stage I-IIA adenocarcinoma. Thus, increased miRNA-30a levels in BALF may be a useful biomarker for non-small-cell lung cancer diagnosis.
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Project description:This study was conducted to develop a novel algorithm for determining the origin of tumors by combining analysis of cluster patterns with immunocytochemistry (ICC) for markers in cells from fine-needle aspirates of ascites. We used LBC, based on SurePathTM (BD Diagnostics) technology, to screen 96 peritoneal fluid samples from patients with known malignancies and from 10 control patients with cirrhosis. Following dual ICC staining for cytokeratin 7 (CK7) and paired box gene 8 (PAX8), we developed an algorithm using immunoreactivity and three-dimensional (3D) cluster patterns to correlate staining and 3D cluster patterns with common primary origins that included stomach, ovarian, pancreatobiliary tract, colon, lung, and breast cancers. With the application of an automatic digitalized image analyzer, competence performance was analyzed using receiver operating characteristics (ROC) curve analysis. CK7 and PAX8 staining and 3D cluster patterns were used to differentiate primary origins. Samples from patients with stomach cancer were no 3D cluster /CK7+/PAX8- with area under the curve (AUC) of 0.8699 in ROC curve analysis. Samples from ovarian cancer patients were large 3D cluster/CK7+/PAX8+ with AUC of 0.9812. Samples from pancreatobiliary tract cancer patients were small 3D cluster/CK7+/PAX8- with AUC of 0.8772. The remaining cancer samples, including breast, lung and colon cancer samples, had similar patterns of large 3D clusters/CK7+/PAX8- with AUC of 0.882, especially for lung cancer. SurePathTM technology, using 3D cluster patterns and dual ICC for CK7 and PAX8 in peritoneal fluid samples, can provide important information for determining specific primary origins in cases of unknown primary carcinoma.
| S-EPMC6053134 | biostudies-literature
Project description:This study investigated miRNA and cytokine expression changes in peritoneal fluid samples of patients with advanced ovarian cancer (OVCA) after receiving hyperthermic intraperitoneal chemotherapy (HIPEC) during cytoreduction surgery (CRS). We collected samples prior to HIPEC, immediately after HIPEC, and 24/48/72 h after CRS from a total of 6 patients. Cytokine levels were assessed using a multiplex cytokine array, and a miRNA PanelChip Analysis System was used for miRNA detection. Following HIPEC, miR-320a-3p, and miR-663-a were found to be immediately down-regulated but increased after 24 h. Further, significant upregulation post-HIPEC and sustained increases in expression were detected in six other miRNAs, including miR-1290, miR-1972, miR-1254, miR-483-5p, miR-574-3p, and miR-574-5p. We also found significantly increased expression of cytokines, including MCP-1, IL-6, IL-6sR, TIMP-1, RANTES, and G-CSF. The changing expression pattern throughout the study duration included a negative correlation in miR-320a-3p and miR-663-a to cytokines including RANTES, TIMP-1, and IL-6 but a positive correlation in miRNAs to cytokines including MCP-1, IL-6sR, and G-CSF. Our study found miRNAs and cytokines in the peritoneal fluid of OVCA patients demonstrated different expression characteristics following CRS and HIPEC. Both changes in expression demonstrated correlations, but the role of HIPEC remains unknown, prompting the need for research in the future.
| S-EPMC10253890 | biostudies-literature
Project description:ObjectiveWe evaluated the correlation between cerebrospinal fluid (CSF) cytokine levels and central nervous system (CNS) involvement in adult acute myeloid leukemia (AML).MethodsThe study sample consisted of 90 patients diagnosed with AML and 20 with unrelated CNS involvement. The AML group was divided into two sub-groups: those with (CNS+, n=30) and without CNS involvement (CNS-, n=60). We used a cytometric bead assay to measure CSF interleukin (IL)-2, IL-4, IL-6, and IL-10, tumor necrosis factor-α, interferon-γ, and IL-17A. We used receiver operating characteristic curves to evaluate the ability of CSF cytokine levels to identify CNS involvement in adult AML.ResultsCSF IL-6 levels were significantly higher in CNS+adult AML patients and positively correlated with the lactate dehydrogenase levels (r=0.738, p<0.001) and white blood cell (WBC) count (r=0.455, p=0.012) in the blood, and the protein (r=0.686, p<0.001) as well as WBC count in the CSF (r=0.427, p=0.019). Using a CSF IL-6 cut-off value of 8.27 pg/ml yielded a diagnostic sensitivity and specificity was 80.00% and 88.46%, respectively (AUC, 0.8923; 95% CI, 0.8168-0.9678). After treating a subset of tested patients, their CSF IL-6 levels decreased. Consequently, the elevated CSF IL-6 levels remaining in CNS+ adult AML patients post-treatment were associated with disease progression.ConclusionCSF IL-6 is a promising marker for the diagnosis of adult AML with CNS involvement and a crucial dynamic indicator for therapeutic response.
| S-EPMC9751393 | biostudies-literature
Project description:ObjectivePleural fluid lysozyme (LP) and its ratio to serum lysozyme (LP/LS) have been proposed as potential biomarkers for diagnosing tuberculous pleural effusion (TPE). We assessed the diagnostic accuracy of LP and LP/LS for TPE and evaluated their ability to differentiate TPE from other effusions.MethodsWe queried the PubMed and Embase databases for studies indexed until October 2021. We included studies that (a) provided information regarding the sensitivity and specificity of LP or LP/LS for the diagnosis of TPE, or (b) compared LP or LP/LS between TPE and malignant or parapneumonic effusions. We used hierarchical summary receiver operating characteristic plots to model summary sensitivity and specificity. Random effects modeling was employed to pool standardized mean differences (SMD) across descriptive studies comparing TPE and other effusions.ResultsWe included 11 publications in our review, most of which were small and of poor quality. The summary estimates for sensitivity, specificity, and diagnostic odds ratio (DOR) were 0.94 (95% confidence interval [CI] 0.53-1.00), 0.89 (95% CI 0.63-0.97), and 129.88 (95% CI 6.26-2695), and 0.98 (95% CI 0.58-1.00), 0.91 (95% CI 0.84-0.96), and 708.47 (95% CI 11.42-43946), respectively, for LP and LP/LS. Mean LP and LP/LS in TPE were significantly higher than in malignant effusions (summary SMD 1.51 [95% CI 1.04-1.98] and 1.77 [95% CI 1.31-2.22], respectively), and parapneumonic effusions (summary SMD 0.86 [95% CI 0.51-1.22] and 1.15 [95% CI 0.64-1.66], respectively).ConclusionThere is low-quality evidence of good diagnostic accuracy for both LP and LP/LS in identifying TPE, the latter being marginally superior.
| S-EPMC9623869 | biostudies-literature