Evidence map›Paper›PMID 27122989›Full record

ArticleCurrent oncology (Toronto, Ont.)2016

MicroRNA expression profiling of sputum for the detection of early and locally advanced non-small-cell lung cancer: a prospective case-control study.

R Razzak, E L R Bédard, J O Kim, S Gazala, L Guo, S Ghosh, A Joy, T Nijjar, E Wong, W H Roa

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Review
  7. Article
  8. Reference Genes for qPCR-Based miRNA Expression Profiling in 14 Human Tissues.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2022
    Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. 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.

R RazzakDivision of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, AB;
E L R BédardDivision of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, AB;
J O KimDepartment of Radiation Oncology, CancerCare Manitoba, and University of Manitoba, Winnipeg, MB;
S GazalaDivision of Thoracic Surgery, Department of Surgery, University of Alberta, Edmonton, AB;
L GuoDepartment of Oncology, Cross Cancer Institute and University of Alberta, Edmonton, AB;
S GhoshDepartment of Oncology, Cross Cancer Institute and University of Alberta, Edmonton, AB;
A JoyDepartment of Oncology, Cross Cancer Institute and University of Alberta, Edmonton, AB;
T NijjarDepartment of Oncology, Cross Cancer Institute and University of Alberta, Edmonton, AB;
E WongDepartment of Oncology, Cross Cancer Institute and University of Alberta, Edmonton, AB;
W H RoaDivision of Pulmonary Medicine, Department of Internal Medicine, University of Alberta Hospital and University of Alberta, Edmonton, AB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-small-cell lung cancer (nsclc) is associated with very poor overall survival because 70% of patients present with locally advanced or metastatic disease at the time of diagnosis. Micrornas (mirnas) are a class of short, noncoding rna molecules whose presence in samples of biologic fluids such as sputum has demonstrated promise as a potential means of detecting nsclc. We investigated the stage-specific nsclc detection potential of an efficient panel of 3 mirnas (mir-21, mir-210, mir-372) using a single sputum sample.

methodsA single spontaneously expectorated sputum sample was prospectively collected from 21 early nsclc (≤stage ii) patients, 22 advanced nsclc (≥stage iii) patients, and 10 control subjects. Mirna expression profiles were determined by quantitative real-time polymerase chain reaction and were analyzed by unsupervised hierarchical cluster analysis.

resultsMean tumour size (±95% confidence interval) in the early and advanced nsclc patients was 3.3 cm ± 0.9 cm and 4.8 cm ± 0.7 cm respectively. Adenocarcinoma constituted 61.9% of the early and 45.5% of the advanced nsclc cases respectively. In comparing the early nsclc group with the control group, the mirna panel yielded a diagnostic sensitivity of 67% and a specificity of 90.0%. For the advanced nsclc group, the mirna panel detected nsclc with a sensitivity and specificity of 64% and 100% respectively.

conclusionsA sputum mir-21, mir-210, and mir-372 expression profile might provide a sensitive and highly specific means for detecting nsclc. Sputum mirna analysis demonstrates promise as a potential complementary screening tool.

Indexed as

mirnaNon-small-cell lung cancernsclcrt-pcrscreeningsputum

Identifiers

PMID27122989
PMCPMC4835003

What OpenQuestion holds

Textmetadata
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.