Evidence map›Paper›PMID 22479623›Full record

ArticlePloS one2012

Peripheral immune cell gene expression predicts survival of patients with non-small cell lung cancer.

Andrew V Kossenkov, Noor Dawany, Tracey L Evans, John C Kucharczuk, Steven M Albelda, Louise C Showe, Michael K Showe, Anil Vachani

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
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

21 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Development of a Molecular Blood-Based Immune Signature Classifier as Biomarker for Risks Assessment in Lung Cancer Screening.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  3. Article
  4. Article
  5. Expression of potassium channel genes predicts clinical outcome in lung cancer.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2019
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Validation of a multiprotein plasma classifier to identify benign lung nodules.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2015
    Article
  14. Review
  15. Article
  16. Article
  17. Prognostic factors in resected lung carcinomas.EJC supplements : EJC : official journal of EORTC, European Organization for Research and Treatment of Cancer ... [et al.] · 2013
    Review
  18. Analysis of the transcriptome in molecular epidemiology studies.Environmental and molecular mutagenesis · 2013
    Review
  19. Article
  20. 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.

Andrew V KossenkovThe Wistar Institute, Philadelphia, Pennsylvania, United States of America.
Noor Dawany
Tracey L Evans
John C Kucharczuk
Steven M Albelda
Louise C Showe
Michael K Showe
Anil Vachani
The Wistar Institute · USUniversity of Pennsylvania · US

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Aaron Robert Goldman · 1985 to 2026
$75.9M
TRAINING PROGRAM IN BASIC CANCER RESEARCHT32CA009171 · NCI · WISTAR INSTITUTE · PI Alessandro Gardini · 1985 to 2026
$15.3M
Molecular epidemiology of lung cancerK07CA111952 · NCI · UNIVERSITY OF PENNSYLVANIA · PI VACHANI, ANIL · 2006 to 2010
$692k
Comprehensive genomics using the Illumina Beadstation 500S10RR024693 · NCRR · WISTAR INSTITUTE · PI SHOWE, LOUISE C. · 2008 to 2008
$405k
NCI NIH HHS K07 CA111952NCI NIH HHS P30 CA010815NCI NIH HHS T32 CA009171NCI NIH HHS T32 CA 09171NCRR NIH HHS S10 RR024693
6 · The paper itself

Abstract

Prediction of cancer recurrence in patients with non-small cell lung cancer (NSCLC) currently relies on the assessment of clinical characteristics including age, tumor stage, and smoking history. A better prediction of early stage cancer patients with poorer survival and late stage patients with better survival is needed to design patient-tailored treatment protocols. We analyzed gene expression in RNA from peripheral blood mononuclear cells (PBMC) of NSCLC patients to identify signatures predictive of overall patient survival. We find that PBMC gene expression patterns from NSCLC patients, like patterns from tumors, have information predictive of patient outcomes. We identify and validate a 26 gene prognostic panel that is independent of clinical stage. Many additional prognostic genes are specific to myeloid cells and are more highly expressed in patients with shorter survival. We also observe that significant numbers of prognostic genes change expression levels in PBMC collected after tumor resection. These post-surgery gene expression profiles may provide a means to re-evaluate prognosis over time. These studies further suggest that patient outcomes are not solely determined by tumor gene expression profiles but can also be influenced by the immune response as reflected in peripheral immune cells.

Indexed as

Gene Expression Regulation, NeoplasticAgedAged, 80 and overCarcinoma, Non-Small-Cell LungFemaleGene Expression ProfilingHumansLeukocytes, MononuclearLungLung NeoplasmsMaleMiddle AgedPrognosisSurvival Analysis

Identifiers

PMID22479623
PMCPMC3315526
OpenAlexW1964353945

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.