Salivary noncoding RNA in the diagnosis of pancreatic cancer: Systematic review and meta‐analysis

Background Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta‐analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis. Methods Our invest...

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Vydané v:European journal of clinical investigation Ročník 52; číslo 12; s. e13848 - n/a
Hlavní autori: Koopaie, Maryam, Kolahdooz, Sajad, Fatahzadeh, Mahnaz, Aleedawi, Zainab Abdulkareem
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: England Blackwell Publishing Ltd 01.12.2022
Predmet:
Antigens
Area Under Curve
biomarker
Biomarkers
Cancer
Carbohydrates
Diagnosis
Diagnostic systems
Humans
Likelihood ratio
Malignancy
Medical diagnosis
Meta-analysis
MicroRNAs
miRNA
noncoding RNA
Pancreatic cancer
Pancreatic Neoplasms - diagnosis
Pancreatic Neoplasms - genetics
Ribonucleic acid
RNA
ROC Curve
Saliva
Search engines
Sensitivity
Subgroups
Systematic review
saliva
meta-analysis
diagnosis
pancreatic cancer
noncoding RNA
biomarker
ISSN:0014-2972, 1365-2362, 1365-2362
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Abstract Background Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta‐analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis. Methods Our investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver‐operating characteristics and area under the curve were plotted and assessed. Results This meta‐analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759–0.805), 0.829 (95% CI: 0.809–0.848), 0.309 (95% CI: 0.279–0.343), 3.386 (95% CI: 2.956–3.879) and 18.403 (95% CI: 14.753–22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19–9 (CA19‐9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)). Conclusions The results of our systematic review and meta‐analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.
AbstractList BackgroundPancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta‐analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis.MethodsOur investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver‐operating characteristics and area under the curve were plotted and assessed.ResultsThis meta‐analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759–0.805), 0.829 (95% CI: 0.809–0.848), 0.309 (95% CI: 0.279–0.343), 3.386 (95% CI: 2.956–3.879) and 18.403 (95% CI: 14.753–22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19–9 (CA19‐9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)).ConclusionsThe results of our systematic review and meta‐analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.
Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta-analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis. Our investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver-operating characteristics and area under the curve were plotted and assessed. This meta-analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759-0.805), 0.829 (95% CI: 0.809-0.848), 0.309 (95% CI: 0.279-0.343), 3.386 (95% CI: 2.956-3.879) and 18.403 (95% CI: 14.753-22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19-9 (CA19-9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)). The results of our systematic review and meta-analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.
Background Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta‐analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis. Methods Our investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver‐operating characteristics and area under the curve were plotted and assessed. Results This meta‐analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759–0.805), 0.829 (95% CI: 0.809–0.848), 0.309 (95% CI: 0.279–0.343), 3.386 (95% CI: 2.956–3.879) and 18.403 (95% CI: 14.753–22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19–9 (CA19‐9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)). Conclusions The results of our systematic review and meta‐analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.
Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta-analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis.BACKGROUNDPancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and diagnostic meta-analysis to evaluate the diagnostic value of noncoding salivary RNAs in pancreatic cancer diagnosis.Our investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver-operating characteristics and area under the curve were plotted and assessed.METHODSOur investigation involved pertinent studies published in PubMed, Scopus, Web of Science, LIVIVO, Ovid and also the Google Scholar search engine. Specificity and sensitivity were calculated, as were positive and negative likelihood ratios (PLR and NLR), and the diagnostic odds ratio (DOR). The summary receiver-operating characteristics and area under the curve were plotted and assessed.This meta-analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759-0.805), 0.829 (95% CI: 0.809-0.848), 0.309 (95% CI: 0.279-0.343), 3.386 (95% CI: 2.956-3.879) and 18.403 (95% CI: 14.753-22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19-9 (CA19-9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)).RESULTSThis meta-analysis and systematic review involved and examined five studies that contained 145 study units with a total of 2731 subjects (1465 pancreatic cancer patients versus 1266 noncancer controls). The pooled specificity, sensitivity, NLR, PLR and DOR were 0.783 (95% CI: 0.759-0.805), 0.829 (95% CI: 0.809-0.848), 0.309 (95% CI: 0.279-0.343), 3.386 (95% CI: 2.956-3.879) and 18.403 (95% CI: 14.753-22.954), respectively, with the area under the curve (AUC) equal to 0.882. Subgroup analyses were conducted based on the saliva type (unstimulated and stimulated), mean age of patients, sample size, type of control, serum carbohydrate antigen 19-9 (CA19-9) level and type of salivary noncoding RNA (microRNA (miRNA) and long noncoding RNA (lncRNA)).The results of our systematic review and meta-analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.CONCLUSIONSThe results of our systematic review and meta-analysis suggest that noncoding RNA biomarkers in the stimulated saliva could be a promising approach for accurate pancreatic cancer diagnosis in the early stages.
Author Kolahdooz, Sajad
Aleedawi, Zainab Abdulkareem
Fatahzadeh, Mahnaz
Koopaie, Maryam
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  organization: Tehran University of Medical Sciences
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  surname: Kolahdooz
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  organization: Rutgers School of Dental Medicine
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  givenname: Zainab Abdulkareem
  surname: Aleedawi
  fullname: Aleedawi, Zainab Abdulkareem
  organization: Private Dental Clinic
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35906804$$D View this record in MEDLINE/PubMed
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Keywords saliva
meta-analysis
diagnosis
pancreatic cancer
noncoding RNA
biomarker
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Snippet Background Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic...
Pancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review and...
BackgroundPancreatic cancer is considered one of the most deadly malignancies, primarily because of its diagnostic challenges. We performed a systematic review...
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StartPage e13848
SubjectTerms Antigens
Area Under Curve
biomarker
Biomarkers
Cancer
Carbohydrates
Diagnosis
Diagnostic systems
Humans
Likelihood ratio
Malignancy
Medical diagnosis
Meta-analysis
MicroRNAs
miRNA
noncoding RNA
Pancreatic cancer
Pancreatic Neoplasms - diagnosis
Pancreatic Neoplasms - genetics
Ribonucleic acid
RNA
ROC Curve
Saliva
Search engines
Sensitivity
Subgroups
Systematic review
Title Salivary noncoding RNA in the diagnosis of pancreatic cancer: Systematic review and meta‐analysis
URI https://onlinelibrary.wiley.com/doi/abs/10.1111%2Feci.13848
https://www.ncbi.nlm.nih.gov/pubmed/35906804
https://www.proquest.com/docview/2736235978
https://www.proquest.com/docview/2696860246
Volume 52
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