Evidence map›Paper›PMID 20068076›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010

MicroRNA expression differentiates histology and predicts survival of lung cancer.

Maria Teresa Landi, Yingdong Zhao, Melissa Rotunno, Jill Koshiol, Hui Liu, Andrew W Bergen, Maurizia Rubagotti, Alisa M Goldstein, Ilona Linnoila, Francesco M Marincola and 6 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
172citing papers in PubMed, 6 pooled it
15.6field-weighted citation impact, top 1% 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

172 citing papers in PubMed, 6 syntheses or guidelines pooled it, 325 citations in OpenAlex.

  1. Pooled it
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  11. Leveraging Commercially Available Protein Assays as Biomarkers for Lung Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  12. Review
  13. Review
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  15. Article
  16. Review
  17. MiRNAs in Lung Adenocarcinoma: Role, Diagnosis, Prognosis, and Therapy.International journal of molecular sciences · 2023
    Review
  18. Article
  19. Review
  20. miRNA in Molecular Diagnostics.Bioengineering (Basel, Switzerland) · 2022
    Review

112 more citing papers are in PubMed but not listed here.

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

16 authors at 5 institutions in 2 countries.

Maria Teresa LandiGenetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Department of Health and Human Services, Bethesda, Maryland 20892-7236, USA. landim@mail.nih.gov
Yingdong Zhao
Melissa Rotunno
Jill Koshiol
Hui Liu
Andrew W Bergen
Maurizia Rubagotti
Alisa M Goldstein
Ilona Linnoila
Francesco M Marincola
Margaret A Tucker
Pier Alberto Bertazzi
Angela C Pesatori
Neil E Caporaso
Lisa M McShane
Ena Wang
Menlo School · USSRI International · USNational Cancer Institute · USOspedale Maggiore · ITUniversity of Milan · IT

Funding

Genetic EpidemiologyZIACP005803 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI GOLDSTEIN, ALISA · 2009 to 2025
$24.8M
Pharmacogenetic StudiesZIACP005804 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SAVAGE, SHARON A. · 2009 to 2025
$11.1M
Immunogenetics of Vaccine TherapyZIACL002115 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2010
$0k
Immunogenetic Study of Infectious Diseases and CancerZIACL002118 · CLC · CLINICAL CENTER · PI MARINCOLA, FRANCESCO M · 2009 to 2012
$0k
Intramural NIH HHS ZIA CP005803
6 · The paper itself

Abstract

purposeThe molecular drivers that determine histology in lung cancer are largely unknown. We investigated whether microRNA (miR) expression profiles can differentiate histologic subtypes and predict survival for non-small cell lung cancer. EXPERIMENTAL

designWe analyzed miR expression in 165 adenocarcinoma and 125 squamous cell carcinoma (SQ) tissue samples from the Environment And Genetics in Lung cancer Etiology (EAGLE) study using a custom oligo array with 440 human mature antisense miRs. We compared miR expression profiles using t tests and F tests and accounted for multiple testing using global permutation tests. We assessed the association of miR expression with tobacco smoking using Spearman correlation coefficients and linear regression models, and with clinical outcome using log-rank tests, Cox proportional hazards, and survival risk prediction models, accounting for demographic and tumor characteristics.

resultsMiR expression profiles strongly differed between adenocarcinoma and SQ (P(global) < 0.0001), particularly in the early stages, and included miRs located on chromosome loci most often altered in lung cancer (e.g., 3p21-22). Most miRs, including all members of the let-7 family, were downregulated in SQ. Major findings were confirmed by quantitative real time-polymerase chain reaction (qRT-PCR) in EAGLE samples and in an independent set of lung cancer cases. In SQ, the low expression of miRs that are downregulated in the histology comparison was associated with 1.2- to 3.6-fold increased mortality risk. A five-miR signature significantly predicted survival for SQ.

conclusionsWe identified a miR expression profile that strongly differentiated adenocarcinoma from SQ and had prognostic implications. These findings may lead to histology-based therapeutic approaches.

Indexed as

AdenocarcinomaAdultAgedCarcinoma, Squamous CellCase-Control StudiesDiagnosis, DifferentialFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLung NeoplasmsMaleMicroRNAsMiddle AgedNeoplasm StagingOligonucleotide Array Sequence AnalysisMicroRNAs

Identifiers

PMID20068076
PMCPMC3163170
OpenAlexW2152995571

What OpenQuestion holds

Textmetadata
LicenceTDM
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.