Evidence map›Paper›PMID 34503104›Full record

ReviewCancers2021

Diagnostic and Prognostic Performance of Liquid Biopsy-Derived Exosomal MicroRNAs in Thyroid Cancer Patients: A Systematic Review and Meta-Analysis.

Eman A Toraih, Rami M Elshazli, Lily N Trinh, Mohammad H Hussein, Abdallah A Attia, Emmanuelle M L Ruiz, Mourad Zerfaoui, Manal S Fawzy, Emad Kandil

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 3 countries.

Eman A ToraihDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0001-9267-3787
Rami M ElshazliDepartment of Biochemistry and Molecular Genetics, Faculty of Physical Therapy, Horus University-Egypt, New Damietta 34517, Egypt.ORCID 0000-0002-3381-2641
Lily N TrinhSchool of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0001-8534-6630
Mohammad H HusseinDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Abdallah A AttiaDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Emmanuelle M L RuizDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Mourad ZerfaouiDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Manal S FawzyDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt.ORCID 0000-0003-1252-8403
Emad KandilDepartment of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.
Tulane University · USSuez Canal University · EGDamietta University · EG

Funding

Carol Lavin Bernick 07/01/2020-06/31/2021
6 · The paper itself

Abstract

Circulatory tumor-derived exosomal microRNAs (miRNAs) play key roles in cancer development/progression. We aimed to assess the diagnostic/prognostic value of circulating exosomal miRNA in thyroid cancer (TC). A search in PubMed, Scopus, Web of Science, and Science Direct up to 22 May 2021 was performed. The true/false positive (TP/FP) and true/false negative (TN/FN) rates were extracted from each eligible study to obtain the pooled sensitivity, specificity, positive/negative likelihood ratios (PLR/NLR), diagnostic odds ratio (DOR), and their 95% confidence intervals (95%CIs). The meta-analysis included 12 articles consisting of 1164 Asian patients and 540 controls. All miRNAs were quantified using qRT-PCR assays. The pooled sensitivity was 82% (95%CI = 77-86%), pooled specificity was 76% (95%CI = 71-80%), and pooled DOR was 13.6 (95%CI = 8.8-21.8). The best biomarkers with high sensitivity were miR-16-2-3p (94%), miR-223-5p (91%), miR-130a-3p (90%), and miR182-5p (94%). Similarly, they showed high specificity, in addition to miR-34c-5p. Six panels of two to four exosomal miRNAs showed higher diagnostic values with an area under the curve (AUC) ranging from 0.906 to 0.981. The best discriminative ability to differentiate between cancer and non-cancer individuals was observed for miR-146b-5p + miR-223-5p + miR-182-5p (AUC = 0.981, sensitivity = 93.8% (84.9-98.3), specificity = 92.9% (76.5-99.1)). In conclusion, the expression levels of exosomal miRNAs could predict TC.

Indexed as

exosomal microRNAsliquid biopsymeta-analysismiRNAthyroid cancer

Identifiers

PMID34503104
PMCPMC8428356
OpenAlexW3195766769

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.