scholarly journals Prognostic Roles of N6-Methyladenosine METTL3 in Different Cancers: A System Review and Meta-Analysis

2021 ◽  
Vol 28 ◽  
pp. 107327482199745
Author(s):  
KuangZheng Liu ◽  
Yue Gao ◽  
Kai Gan ◽  
YuQing Wu ◽  
Bin Xu ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Meta Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Tumor Biomarker ◽  
Cancer Breast ◽  
Cancer Genome Atlas ◽  
Cancer Types ◽  
And Gender

Background: Recent studies have shown that methyltransferase-like 3, a catalytic enzyme that is predominant in the N6-methyladenosine methyltransferase system, is abnormally expressed in various types of carcinoma and is correlated with poorer prognosis. However, the clinical functions of methyltransferase-like 3 in the prognosis of tumors are not fully understood. Methods: We identified studies by searching PubMed, Web of Science, and MedRvix for literature (up to June 30, 2020), and collected a total of 9 studies with 1257 patients for this meta-analysis. The cancer types included gastric cancer, breast cancer, non-small cell lung cancer, bladder cancer, colorectal cancer and ovarian. We further used The Cancer Genome Atlas dataset to validate the results. Results: High methyltransferase-like 3 expression clearly predicted a worse outcome (high vs. low methyltransferase-like 3 expression group; hazard ratio = 2.09, 95% confidence interval 1.53–2.89, P = 0.0001). Moreover, methyltransferase-like 3 expression was associated with differentiation (moderate + poor vs. well, pooled odds ratio = 1.76, 95% confidence interval 1.32–2.35, P = 0.0001), and gender (male vs. female, pooled odds ratio = 0.73, 95% confidence interval 0.55-0.97, P = 0.029). Conclusion: Our results suggest that methyltransferase-like 3 upregulation is significantly associated with poor prognosis and could potentially function as a tumor biomarker in cancer prognosis.

scholarly journals Integrative Analysis of Cancer Omics Data for Prognosis Modeling

Genes ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 604 ◽  
Author(s):  
Wang ◽  
Wu ◽  
Ma
Keyword(s):  
Integrative Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Sufficient Information ◽  
Cancer Type ◽  
Multiple Cancer ◽  
Cancer Genome Atlas ◽  
Cancer Types ◽  
Information Borrowing ◽  
Penalization Technique

Prognosis modeling plays an important role in cancer studies. With the development of omics profiling, extensive research has been conducted to search for prognostic markers for various cancer types. However, many of the existing studies share a common limitation by only focusing on a single cancer type and suffering from a lack of sufficient information. With potential molecular similarity across cancer types, one cancer type may contain information useful for the analysis of other types. The integration of multiple cancer types may facilitate information borrowing so as to more comprehensively and more accurately describe prognosis. In this study, we conduct marginal and joint integrative analysis of multiple cancer types, effectively introducing integration in the discovery process. For accommodating high dimensionality and identifying relevant markers, we adopt the advanced penalization technique which has a solid statistical ground. Gene expression data on nine cancer types from The Cancer Genome Atlas (TCGA) are analyzed, leading to biologically sensible findings that are different from the alternatives. Overall, this study provides a novel venue for cancer prognosis modeling by integrating multiple cancer types.

scholarly journals Prognostic significance of LncRNA GHET1 expression in various cancers: a systematic review and meta-analysis

2019 ◽  
Vol 39 (10) ◽  
Author(s):  
Jing Ye ◽  
Haiyan Sun ◽  
Zhengquan Feng ◽  
Qiqin Zhang ◽  
Yongliang Xia ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Clinical Stage ◽  
Prognostic Significance ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Advanced Clinical Stage ◽  
Human Cancers ◽  
Non Coding Rna ◽  
Cancer Genome Atlas ◽  
Meta Analyses

Abstract Background: Dysregulated expression of long non-coding RNA gastric carcinoma high expressed transcript 1 (lncRNA GHET1) has been observed in several cancers, however, definite conclusion on the prognostic value of lncRNA GHET1 expression in human cancers has not been determined. The aim of this meta-analysis was to evaluate the prognostic significance of lncRNA GHET1 expression in cancers. Methods: PubMed, Web of Science and Embase were comprehensively searched for relevant studies. Meta-analyses of overall survival (OS) and clinicopathological features were conducted. Results: Ten studies were finally analyzed in the present study. High lncRNA GHET1 expression was associated with shorter OS than low lncRNA GHET1 expression in cancers (hazard ratio (HR) = 2.59, 95% CI = 1.93–3.47, P<0.01). Online cross-validation using The Cancer Genome Atlas (TCGA) data observed similar results (HR = 1.10, P<0.05). When compared with low lncRNA GHET1 expression, high lncRNA GHET1 expression was related to larger tumor size (P<0.01), worse differentiation (P<0.01), earlier distant metastasis (P=0.02), earlier lymph node metastasis (P<0.01) and more advanced clinical stage (P<0.01). Conclusion: High lncRNA GHET1 expression is associated with worse cancer prognosis and can serve as a promising prognostic factor of human cancers.

scholarly journals Tumor microenvironment-aware, single-transcriptome prediction of microsatellite instability in colorectal cancer using meta-analysis

2021 ◽  
Author(s):  
Mi-Kyoung Seo ◽  
Hyundeok Kang ◽  
Sangwoo Kim
Keyword(s):  
Tumor Microenvironment ◽  
Microsatellite Instability ◽  
Therapeutic Strategy ◽  
Predictive Power ◽  
Meta Analysis ◽  
The Cancer Genome Atlas ◽  
Recursive Feature Elimination ◽  
Novel Approach ◽  
Cancer Genome Atlas ◽  
Cancer Types

Abstract Detecting microsatellite instability (MSI) in colorectal cancers (CRCs) is essential since it is therapeutic strategy determinant feature, including immunotherapy and chemotherapy. Yet, no attempt has been made to exploit transcriptomic profile and tumor microenvironment (TME) of it to unveil MSI status in CRC. Hence, we developed a novel TME-aware, single-transcriptome predictor of MSI for CRC, called MAP (Microsatellite instability Absolute single sample Predictor). MAP was developed utilizing recursive feature elimination-random forest with 466 CRC samples from The Cancer Genome Atlas, and its performance was validated in independent cohorts, including 1118 samples. MAP showed robustness and predictive power in predicting MSI status in CRC. Additional advantages for MAP were demonstrated through comparative analysis with existing MSI classifier and other cancer types. Our novel approach will provide access to untouched vast amounts of publicly available transcriptomic data and widen the door for MSI CRC research and be useful for gaining insights to help with translational medicine.

scholarly journals Protective Effects of Statins Administration in European and North American Patients Infected with COVID-19: A Meta-analysis

2021 ◽  
Author(s):  
Mairi Pucci ◽  
Diletta Onorato ◽  
Giovanni Carpene ◽  
Brandon Michael Henry ◽  
Fabian Sanchis-Gomar ◽  
...  
Keyword(s):  
Confidence Interval ◽  
Statin Therapy ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Protective Role ◽  
Favorable Effect ◽  
Current Evidence ◽  
Severe Illness ◽  
Protective Effects ◽  
Time Data

AbstractSevere acute respiratory syndrome coronavirus 2 has spread rapidly throughout the world, becoming an overwhelming global health emergency. The array of injuries caused by this virus is broad and not limited to the respiratory system, but encompassing also extensive endothelial and systemic tissue damage. Since statins effectively improve endothelial function, these drugs may have beneficial effects in patients with coronavirus disease 2019 (COVID-19). Therefore, this investigation aimed to provide an updated overview on the interplay between statins and COVID-19, with particular focus on their potentially protective role against progression toward severe or critical illness and death. A systematic electronic search was performed in Scopus and PubMed up to present time. Data on statins use and COVID-19 outcomes especially in studies performed in Europe and North America were extracted and pooled. A total of seven studies met our inclusion criteria, totaling 2,398 patients (1,075 taking statins, i.e., 44.8%). Overall, statin usage in Western patients hospitalized with COVID-19 was associated with nearly 40% lower odds of progressing toward severe illness or death (odds ratio: 0.59; 95% confidence interval: 0.35–0.99). After excluding studies in which statin therapy was started during hospital admission, the beneficial effect of these drugs was magnified (odds ratio: 0.51; 95% confidence interval: 0.41–0.64). In conclusion, although randomized trials would be necessary to confirm these preliminary findings, current evidence would support a favorable effect of statins as adjuvant therapy in patients with COVID-19. Irrespective of these considerations, suspension of statin therapy seems highly unadvisable in COVID-19 patients.

scholarly journals Adherence to antihypertensive medications and associated factors among hypertensive patients in Ethiopia: Systematic review and meta-analysis

2020 ◽  
Vol 8 ◽  
pp. 205031212098245
Author(s):  
Assefa Tola Gemeda ◽  
Lemma Demissie Regassa ◽  
Adisu Birhanu Weldesenbet ◽  
Bedasa Taye Merga ◽  
Nanti Legesse ◽  
...  
Keyword(s):  
Systematic Review ◽  
Medication Adherence ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Associated Factors ◽  
Antihypertensive Medication ◽  
Meta Analysis ◽  
Group Analysis ◽  
Hypertensive Patients ◽  
Pooled Prevalence

The foundation of controlling hypertension is adherence to antihypertensive medication adherence. This systematic review and meta-analysis aimed to assess the magnitude and associated factors of adherence to antihypertensive medication among adult hypertensive patients in Ethiopia. A comprehensible bibliographic searching was conducted from PubMed, EMBASE, Scopus, and Web of Science core collection. All published and unpublished studies that had been accessible before 31 May 2020, and written in English were eligible. Joanna Briggs Institute assessment tool was used to evaluate the quality of the findings of the included studies. Stata software 16.0 was used to analyze the data. Study-specific estimates were pooled to determine the overall prevalence estimate across studies using a random-effects meta-analysis model. Publication bias and heterogeneity were checked. Fourteen studies with a total of 4938 hypertensive patients were included in the final systematic review and meta-analysis. The pooled prevalence of medication adherence among hypertensive patients in Ethiopia was 65.41% (95% confidence interval: 58.91–71.91). Sub-group analysis shown that the pooled prevalence of medication adherence was the highest (69.07%, 95% confidence interval: 57.83–80.31, I2 = 93.51) among studies using questionnaire technique whereas the lowest in Morisky Medication Adherence Scale eight-items (60.66%, 95% confidence interval: 48.92–72.40, I2 = 97.16). Moreover, medication adherence was associated with the presence of comorbidities (pooled odds ratio = 0.23, 95% confidence interval: 0.07–0.38, p = 0.030, I2 = 54.9%) and knowledge about the disease and its management (pooled odds ratio = 2.98, 95% confidence interval: 1.72–4.24, p = 0.04, I2 = 55.55%) but not with place of residence (pooled odds ratio = 1.22, 95% confidence interval: 0.51–1.93, p = 0.00, I2 = 76.9%). Despite a lack of uniformity among included studies, adherence to antihypertensive medication among the hypertensive population in Ethiopia was moderate. The presence of comorbidities and/or complications reduced the odds of adherence whereas having good knowledge about the disease increased chance of medication adherence among hypertensive patients.

Prognostic Value of Brain Magnetic Resonance Imaging in Neonatal Hypoxic-Ischemic Encephalopathy: A Meta-analysis

2017 ◽  
Vol 32 (13) ◽  
pp. 1065-1073 ◽  
Author(s):  
Iván Sánchez Fernández ◽  
J. Leon Morales-Quezada ◽  
Samuel Law ◽  
Paggie Kim
Keyword(s):  
Confidence Interval ◽  
Odds Ratio ◽  
Prognostic Value ◽  
Meta Analysis ◽  
Brain Mri ◽  
Brain Magnetic Resonance Imaging ◽  
Hypoxic Ischemic Encephalopathy ◽  
Resonance Imaging ◽  
Neonatal Brain ◽  
Ischemic Encephalopathy

Objective: To quantify the prognostic value of neonatal brain magnetic resonance imaging (MRI) in neonatal hypoxic-ischemic encephalopathy. Methods: Meta-analysis of studies with ≥35-week neonates with hypoxic-ischemic encephalopathy who underwent brain MRI within age 4 weeks and had neurodevelopmental follow-up for at least 12 months. Results: An abnormal neonatal brain MRI was more frequent among patients with unfavorable neurodevelopmental outcome: odds ratio = 18.2 (95% confidence interval: 9.4-34.9), P <.0001. The prognostic value of neonatal brain MRI in moderate hypoxic-ischemic encephalopathy had an odds ratio of 17.7 (95% confidence interval: 5.3-59.3) and in severe hypoxic-ischemic encephalopathy, the odds ratio was 125.0 (95% confidence interval: 2.0-7917.1). Therapeutic hypothermia did not change the prognostic value of neonatal brain MRI (odds ratio for hypothermia, 14.0 [95% confidence interval: 3.1-63.6], vs no hypothermia, 18.1 [95% confidence interval: 10.0-33.1], P = .7525). Conclusion: Neonatal brain MRI provides prognostic information on outcome beyond early infancy in hypoxic-ischemic encephalopathy and therapeutic hypothermia does not change its prognostic value.

scholarly journals Circulating Insulin-Like Growth Factor-1 Level and Ovarian Cancer Risk

2016 ◽  
Vol 38 (2) ◽  
pp. 589-597 ◽  
Author(s):  
Yiyang Li ◽  
Yang Li ◽  
Jialing Zhang ◽  
Changjun Zheng ◽  
He Zhu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Growth Factor ◽  
Cancer Risk ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Epidemiological Studies ◽  
Ovarian Cancer Risk ◽  
Insulin Like Growth Factor ◽  
Summary Odds Ratio

Background/Aims: Insulin-like growth factor-1 (IGF-1) has an important role in cells' proliferation, differentiation and apoptosis, and it may be involved in carcinogenesis. Several epidemiological studies assessed the association between circulating IGF-1 level and ovarian cancer risk, but there was still no conclusive finding. Methods: A meta-analysis of published studies was performed to assess the association between circulating IGF-1 level and ovarian cancer risk. The summary odds ratio (OR) with 95% confidence interval (95%CI) was calculated through meta-analysis to evaluate the strength of the association. Results: Five eligible studies were included into the meta-analysis, which involved a total of 2,028 cases of ovarian cancer and 4,625 controls. Meta-analysis of total 5 studies showed that high circulating IGF-1 level was correlated with decreased risk of ovarian cancer (OR = 0.84, 95%CI 0.74-0.97, P = 0.013). After adjusting for heterogeneity, high circulating IGF-1 level was still correlated with decreased risk of ovarian cancer (OR = 0.83, 95%CI 0.72-0.95, P = 0.007). Subgroup analysis by age showed that circulating IGF-1 level was not correlated with ovarian cancer risk in women both less than 55 years and more than 55 years. However, after adjusting for heterogeneity, high circulating IGF-1 level was correlated with decreased ovarian cancer risk in women less than 55 years (OR = 0.82, 95%CI 0.72-0.94, P = 0.004). Conclusion: Our meta-analysis suggests that high circulating IGF-1 level may be correlated with decreased ovarian cancer risk, especially in women less than 55 years. More studies are needed to further assess the association between circulating IGF-1 level and ovarian cancer risk in the future.

scholarly journals The Prognostic Significance of MAFK and its Methylation in Cervical Cancer

2021 ◽  
Author(s):  
Mengjun Zhang ◽  
Hao Li ◽  
Yuan Liu ◽  
Siyu Hou ◽  
Ping Cui ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prognostic Significance ◽  
Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Cancer Prognosis ◽  
Aberrant Methylation ◽  
Cancer Data ◽  
Drug Candidates ◽  
Cancer Genome Atlas ◽  
Cancer Tissues

Abstract Background: The purpose of this study was to determine the value of MAFK as a biomarker of cervical cancer prognosis and to explore its methylation and possible cellular signaling pathways. Methods: We analyzed the cervical cancer data of The Cancer Genome Atlas (TCGA) through bioinformatics, including MAFK expression, methylation, prognosis and genome enrichment analysis. Results: MAFK expression was higher in cervical cancer tissues and was negatively correlated with the methylation levels of five CpG sites. MAFK is an independent prognostic factor of cervical cancer and is involved in the Nod-like receptor signaling pathway. CMap analysis screened four drug candidates for cervical cancer treatment. Conclusions: We confirmed that MAFK is a novel prognostic biomarker for cervical cancer and aberrant methylation may also affect MAFK expression and carcinogenesis. This study provides a new molecular target for the prognostic evaluation and treatment of cervical cancer.

scholarly journals Clinical Significance of miR-210 and its Prospective Signaling Pathways in Non-Small Cell Lung Cancer: Evidence from Gene Expression Omnibus and the Cancer Genome Atlas Data Mining with 2763 Samples and Validation via Real-Time Quantitative PCR

2018 ◽  
Vol 46 (3) ◽  
pp. 925-952 ◽  
Author(s):  
Rong-quan He ◽  
Wei-luan Cen ◽  
Jie-mei Cen ◽  
Wei-ning Cen ◽  
Jia-yi Li ◽  
...  
Keyword(s):  
Clinical Significance ◽  
Meta Analysis ◽  
Gene Expression Omnibus ◽  
Small Cell ◽  
The Cancer Genome Atlas ◽  
Small Cell Lung ◽  
Free Survival ◽  
Real Time Quantitative Pcr ◽  
Cancer Genome Atlas ◽  
Genome Atlas

Background/Aims: Since the function of microRNA (miR)-210 in non-small cell lung cancer (NSCLC) remains unclear, we aimed to explore the clinical significance of miR-210 in NSCLC. Methods: NSCLC-related data from 1673 samples on Gene Expression Omnibus and 1090 samples on The Cancer Genome Atlas were obtained and analyzed. The expression level of miR-210 was validated via real-time quantitative PCR analysis with 125 paired clinical samples. A meta-analysis was performed to generate a comprehensive understanding of miR-210 expression and its clinical significance in NSCLC. In addition, bioinformatics analysis was also conducted to reveal the potential underlying mechanism of miR-210 action in NSCLC. Results: miR-210 expression was consistently elevated in NSCLC solid tissue samples. However, its expression was controversial in easily obtained body fluids (i.e., blood, plasma, and serum). Moreover, an overall pooled meta-analysis implied a comparatively higher level of miR-210 expression in NSCLC cancerous tissue than in normal control tissue (P < 0.001). In addition, a meta-analysis of outcome revealed a significant diagnostic capacity of miR-210 in NSCLC by detecting its expression in serum and sputum (area under the summary receiver operating characteristic curve 0.82 and 0.81, respectively). miR-210 overexpression was associated with poor progression-free survival (PFS) in NSCLC and was negatively related to overall survival and disease-free survival. Bioinformatic gene enrichment and annotation analyses showed that the target genes of miR-210 were greatly enriched in cell adhesion and plasma membrane, and three pathways were considered to be the main functional circuits of miR-210: renin secretion, the cGMP-PKG signaling pathway, and cell adhesion molecules. Conclusion: In NSCLC, miR-210 expression was elevated and overexpression indicated poor PFS. Expression level of miR-210 in serum and sputum showed significant diagnostic value for NSCLC.

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