Evidence map›Paper›PMID 16491115›Full record

ArticleOncogene2006

Identification of tumor markers and differentiation markers for molecular diagnosis of lung adenocarcinoma.

N Nakamura, K Kobayashi, M Nakamoto, T Kohno, H Sasaki, Y Matsuno, J Yokota

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

14 citing papers in PubMed, 29 citations in OpenAlex.

  1. Trial
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  6. Article
  7. Functional MUC4 suppress epithelial-mesenchymal transition in lung adenocarcinoma metastasis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  8. The expression and clinical significance of CLIC1 and HSP27 in lung adenocarcinoma.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2011
    Article
  9. Article
  10. Article
  11. Article
  12. Smoking-Related Gene Expression in Laser Capture-Microdissected Human Lung.Clinical cancer research : an official journal of the American Association for Cancer Research · 2009
    Article
  13. Article
  14. 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

7 authors at 1 institution in 1 country.

N NakamuraBiology Division, National Cancer Center Research Institute, Tokyo, Japan.
K Kobayashi
M Nakamoto
T Kohno
H Sasaki
Y Matsuno
J Yokota
National Cancer Research Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify tumor markers and differentiation markers for lung adenocarcinoma (AdC), we analysed expression profiles of 14,500 genes against three cases of type II alveolar epithelial cells, bronchiolar epithelial cells, and bronchial epithelial cells, respectively, and 10 cases of AdC cells isolated by laser capture microdissection. Hierarchical clustering analysis indicated that AdC cells and noncancerous lung epithelial cells are significantly different in their expression profiles, and that different sets of differentiation markers are expressed among alveolar, bronchiolar and bronchial epithelial cells. Nine genes were identified as being highly expressed in AdC cells, but not expressed in noncancerous lung epithelial cells. Sixteen genes were identified as differentiation markers for lung epithelial cells. Real-time RT-PCR analysis of 45 lung AdC cases further revealed that expression of four tumor markers in AdC cells was significantly higher than that in noncancerous lung cells and that expression of ten differentiation markers was retained in a considerable fraction of lung AdC cases. Five tumor markers and seven differentiation markers were not expressed in peripheral blood cells. Similarities and differences in expression profiles between normal epithelial cells from different lung respiratory compartments and AdC cells demonstrated in this study will be informative for the molecular diagnosis of lung AdC.

Indexed as

Biomarkers, TumorCell DifferentiationAdenocarcinomaGene Expression ProfilingHumansLung NeoplasmsOligonucleotide Array Sequence AnalysisRespiratory MucosaBiomarkers, Tumor

Identifiers

PMID16491115
OpenAlexW2008274750

What OpenQuestion holds

Textmetadata
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.