Evidence map›Paper›PMID 32181394›Full record

ArticleHeliyon2020

Long non-coding RNA

Ha X Dang, Nicole M White, Emily B Rozycki, Brooke M Felsheim, Mark A Watson, Ramaswamy Govindan, Jingqin Luo, Christopher A Maher

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 28% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. LncRNANAR cancer · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. LINC00355 regulates p27NPJ breast cancer · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
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

8 authors at 2 institutions in 1 country.

Ha X DangDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Nicole M WhiteDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Emily B RozyckiDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Brooke M FelsheimDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Mark A WatsonAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Ramaswamy GovindanDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Jingqin LuoAlvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA.
Christopher A MaherDepartment of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USJames S. McDonnell Foundation · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
THE ROLE OF POLYCOMB ASSOCIATED LONG NON-CODING RNAS IN LUNG CANCER METASTASISR01CA203995 · NCI · WASHINGTON UNIVERSITY · PI MAHER, CHRISTOPHER A · 2017 to 2021
$1.9M
NCI NIH HHS P30 CA091842NCI NIH HHS R01 CA203995
6 · The paper itself

Abstract

backgroundMore than half of non-small cell lung cancer (NSCLC) patients present with metastatic disease at initial diagnosis with an estimated five-year survival rate of ~5%. Despite advances in understanding primary lung cancer oncogenesis metastatic disease remains poorly characterized. Recent studies demonstrate important roles of long non-coding RNAs (lncRNAs) in tumor physiology and as prognostic markers. Therefore, we present the first transcriptome analysis to identify lncRNAs altered in metastatic lung adenocarcinoma leading to the discovery and characterization of the lncRNA PATIENTS AND

methodsRNA-Seq, microarray, nanoString expression, and clinical data from 1,116 LUAD patients across six independent cohorts and 83 LUAD cell lines were used to discover and evaluate the survival association of metastasis associated lncRNAs. Coexpression and gene set enrichment analyses were used to establish gene regulatory networks and implicate metastasis associated lncRNAs in specific biological processes.

resultsOur integrative analysis discovered

conclusionWe discovered that

Indexed as

BioinformaticsBiomarkerCancer researchCell biologyComputational biologyGeneticsGenomicsLong non-coding RNALung cancerMetastasisMolecular biologyOncologyPrognosticTranscriptome

Identifiers

PMID32181394
PMCPMC7062942
OpenAlexW3009054611

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.