Evidence map›Paper›PMID 21742797›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2011

A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma.

Melissa Rotunno, Nan Hu, Hua Su, Chaoyu Wang, Alisa M Goldstein, Andrew W Bergen, Dario Consonni, Angela C Pesatori, Pier Alberto Bertazzi, Sholom Wacholder and 4 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
2.8field-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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Special Issue "Molecular Advances in Cancer Immunotherapy".International journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. An engineered niche delineates metastatic potential of breast cancer.Bioengineering & translational medicine · 2024
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Current and Future Development in Lung Cancer Diagnosis.International journal of molecular sciences · 2021
    Review
  19. Article
  20. Observational
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

14 authors at 5 institutions in 2 countries.

Melissa RotunnoDivision of Cancer Epidemiology and Genetics, NCI, NIH, Department of Health and Human Services, Bethesda, MD 20892, USA.
Nan Hu
Hua Su
Chaoyu Wang
Alisa M Goldstein
Andrew W Bergen
Dario Consonni
Angela C Pesatori
Pier Alberto Bertazzi
Sholom Wacholder
Joanna Shih
Neil E Caporaso
Phil R Taylor
Maria Teresa Landi
National Cancer Institute · USMenlo School · USOspedale Maggiore · ITSRI International · USUniversity 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
CLINICAL VASCULAR BIOLOGY IN ATHEROSCLEROSISZ01HL005007 · NHLBI · HEART, LUNG, AND BLOOD INSTITUTE · PI QUYYUMI, ARSHED A · 1997 to 2000
–
Intramural NIH HHS ZIA CP005803
6 · The paper itself

Abstract

Affordable early screening in subjects with high risk of lung cancer has great potential to improve survival from this deadly disease. We measured gene expression from lung tissue and peripheral whole blood (PWB) from adenocarcinoma cases and controls to identify dysregulated lung cancer genes that could be tested in blood to improve identification of at-risk patients in the future. Genome-wide mRNA expression analysis was conducted in 153 subjects (73 adenocarcinoma cases, 80 controls) from the Environment And Genetics in Lung cancer Etiology study using PWB and paired snap-frozen tumor and noninvolved lung tissue samples. Analyses were conducted using unpaired t tests, linear mixed effects, and ANOVA models. The area under the receiver operating characteristic curve (AUC) was computed to assess the predictive accuracy of the identified biomarkers. We identified 50 dysregulated genes in stage I adenocarcinoma versus control PWB samples (false discovery rate ≤0.1, fold change ≥1.5 or ≤0.66). Among them, eight (TGFBR3, RUNX3, TRGC2, TRGV9, TARP, ACP1, VCAN, and TSTA3) differentiated paired tumor versus noninvolved lung tissue samples in stage I cases, suggesting a similar pattern of lung cancer-related changes in PWB and lung tissue. These results were confirmed in two independent gene expression analyses in a blood-based case-control study (n = 212) and a tumor-nontumor paired tissue study (n = 54). The eight genes discriminated patients with lung cancer from healthy controls with high accuracy (AUC = 0.81, 95% CI = 0.74-0.87). Our finding suggests the use of gene expression from PWB for the identification of early detection markers of lung cancer in the future.

Indexed as

Gene Expression ProfilingAdenocarcinomaAdultAgedBiomarkers, TumorCase-Control StudiesFemaleHumansLung NeoplasmsMaleMiddle AgedNeoplasm GradingNeoplasm StagingOligonucleotide Array Sequence AnalysisROC CurveBiomarkers, Tumor

Identifiers

PMID21742797
PMCPMC3188352
OpenAlexW2140761919

What OpenQuestion holds

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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.