Evidence map›Paper›PMID 26246471›Full record

ArticleOncotarget2016

Analysis of small nucleolar RNAs in sputum for lung cancer diagnosis.

Jian Su, Jeipi Liao, Lu Gao, Jun Shen, Maria A Guarnera, Min Zhan, HongBin Fang, Sanford A Stass, Feng Jiang

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  7. Review
  8. Article
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  14. Article
  15. Exosomal RNAs in diagnosis and therapies.Non-coding RNA research · 2022
    Article
  16. Circulating MicroRNAs as Cancer Biomarkers in Liquid Biopsies.Advances in experimental medicine and biology · 2022
    Review
  17. The Potential Role of Small Nucleolar RNAs in Cancers - An Evidence Map.International journal of general medicine · 2022
    Review
  18. Article
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Jian SuDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Jeipi LiaoDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Lu GaoDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Jun ShenDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Maria A GuarneraDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Min ZhanDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
HongBin FangDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Sanford A StassDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
Feng JiangDepartment of Pathology, University of Maryland School of Medicine, Baltimore, MD, USA.
University of Maryland, Baltimore · US

Funding

University of Maryland Biomarker Reference LaboratoryU24CA115091 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI STASS, SANFORD A · 2005 to 2021
$7.1M
Non-invasive Biomarker Panels for Early Detection of Lung Squamous Cell CarcinomaR01CA161837 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI JIANG, FENG · 2011 to 2013
$998k
Early detection of lung cancer in VeteransI01CX000512 · VA · BALTIMORE VA MEDICAL CENTER · PI JIANG, FENG · 2012 to 2020
–
CSRD VA I01 CX000512NCI NIH HHS 5U24CA11509NCI NIH HHS R01 CA161837NCI NIH HHS R01CA161837NCI NIH HHS U24 CA115091
6 · The paper itself

Abstract

Molecular analysis of sputum presents a noninvasive approach for diagnosis of lung cancer. We have shown that dysregulation of small nucleolar RNAs (snoRNAs) plays a vital role in lung tumorigenesis. We have also identified six snoRNAs whose changes are associated with lung cancer. Here we investigated if analysis of the snoRNAs in sputum could provide a potential tool for diagnosis of lung cancer. Using qRT-PCR, we determined expressions of the six snoRNAs in sputum of a training set of 59 lung cancer patients and 61 cancer-free smokers to develop a biomarker panel, which was validated in a testing set of 67 lung cancer patients and 69 cancer-free smokers for the diagnostic performance. The snoRNAs were robustly measurable in sputum. In the training set, a panel of two snoRNA biomarkers (snoRD66 and snoRD78) was developed, producing 74.58% sensitivity and 83.61% specificity for identifying lung cancer. The snoRNA biomarkers had a significantly higher sensitivity (74.58%) compared with sputum cytology (45.76%) (P < 0.05). The changes of the snoRNAs were not associated with stage and histology of lung cancer (All P >0.05). The performance of the biomarker panel was confirmed in the testing cohort. We report for the first time that sputum snoRNA biomarkers might be useful to improve diagnosis of lung cancer.

Indexed as

AgedBiomarkers, TumorHumansLung NeoplasmsRNA, Small NucleolarSputumBiomarkers, TumorRNA, Small Nucleolarbiomarkersdiagnosislung cancerPathology SectionsnoRNAssputum

Identifiers

PMID26246471
PMCPMC4868676
OpenAlexW1728081620

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.