Evidence map›Paper›PMID 31244320›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2019

Assessment of Circulating miRNA-17 and miRNA-222 Expression Profiles as Non-Invasive Biomarkers in Egyptian Patients with Non-Small-Cell Lung Cancer.

Helal F Hetta, Asmaa M Zahran, Reham I El-Mahdy, Emad Eldin Nabil, Hend M Esmaeel, Ola A Elkady, Azza Elkady, Dina A Mohareb, Mohammed Mahmoud Mostafa, James John

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Review
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

10 authors.

Helal F HettaDepartment of Internal Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, USA. Email: helal.hetta@uc.edu
Asmaa M ZahranDepartment of Clinical Pathology, South Egypt Cancer Institute, Assiut, Egypt.
Reham I El-MahdyDepartment of Medical Biochemistry, Faculty of Medicine, Assiut University, Egypt.
Emad Eldin NabilDepartment of clinical oncology, Faculty of Medicine, Sohag University, Egypt.
Hend M EsmaeelDepartment of Chest Diseases and Tuberculosis, Faculty of Medicine, Sohag University, Egypt.
Ola A ElkadyDepartment of Chest Diseases and Tuberculosis, Faculty of Medicine, Sohag University, Egypt.
Azza ElkadySohag university medical adminstartion,Sohag, Egypt.
Dina A MoharebDepartment of Clinical Pathology, Faculty of Medicine, Assiut University, Egypt.
Mohammed Mahmoud MostafaDepartment of Cardiothoracic Surgery, Assiut University Hospital, Assiut University, Egypt.
James JohnCentral Research Facility, Sri Ramachandra Medical College and Research Institute, Sri Ramachandra University, Chennai, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer is one of the main human health threats. Survival of lung cancer patients depends on the timely detection and diagnosis. Among the genetic irregularities that control cancer development and progression, there are microRNAs (miRNAs). This study aimed to assess the plasma level of circulating miRNA-17 and miRNA-222 as non-invasive markers in non-small-cell lung cancer (NSCLC) patients. Patients and methods: A total of 40 patients with NSCLC and 20 healthy controls who were matched in terms of age and sex with the patient group were included in this case-control study.. Estimation of miRNA-17 and miRNA-222 expression profiles in the plasma was done using quantitative real-time PCR (qRT-PCR). The relationship between both markers and their clinicopathological features were also determined. Receiver operating characteristic (ROC) curve analysis was done to evaluate the role of these microRNAs in NSCLC diagnosis and follow-up. Results: MiRNA-17 and miRNA-222 levels were significantly upregulated in NSCLC patients compared with controls (48.32±12.35 vs 1.16±0.19 and 34.53±3.1 vs 1.22±0.14) (P=0.000). Plasma miRNA-17 level was increased, and the miRNA-222 level was decreased across different stages of the disease; however, these differences d were not statistically significant (P=0.4, P=0.5, respectively). The miRNA-17 levels were higher in the lung cancer patients with metastasis , but miRNA-222 levels were lower patients without metastasis. We found no statistically significant difference in this regard(P=0.4 vs P=0.3, respectively). ROC curve analysis showed that the sensi¬tivity and specificity of miRNA-17 were 77.78% and 87.50% , and of miRNA-222 were 50% and 88.89%. Conclusion: MiRNA-17 and miRNA-222 can be considered as non-invasive biomarkers for detection of early lung carcinogenesis and metastasis in patients with NSCLC, hence providing a basis for the development of novel therapeutic approaches.

Indexed as

AdenocarcinomaBiomarkers, TumorCarcinoma, Large CellCarcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCase-Control StudiesEgyptFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedPrognosisBiomarkers, TumorMicroRNAsMIR222, humanMIRN17 microRNA, humanBiomarkermiR-17miR-222Non-invasivenon-small-cell lung cancer

Identifiers

PMID31244320
PMCPMC7021600

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.