Evidence map›Paper›PMID 18034892›Full record

ArticleMolecular cancer2007

Gene expression profiling of cancer stem cell in human lung adenocarcinoma A549 cells.

Dong-Cheol Seo, Ji-Min Sung, Hee-Jung Cho, Hee Yi, Kun-Ho Seo, In-Soo Choi, Dong-Ku Kim, Jin-Suk Kim, Abd El-Aty AM, Ho-Chul Shin

Open access · goldAbstract read
In one paragraph

Article in Molecular cancer, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.5field-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

50 citing papers in PubMed, 95 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Dong-Cheol SeoDepartment of Veterinary Pharmacology and Toxicology College of Veterinary Medicine, Konkuk University, 1 Hwayang-dong, Kwangjin-gu, Seoul 143-701, Republic of Korea. sdc97@hanmail.net
Ji-Min Sung
Hee-Jung Cho
Hee Yi
Kun-Ho Seo
In-Soo Choi
Dong-Ku Kim
Jin-Suk Kim
Abd El-Aty AM
Ho-Chul Shin
Konkuk University · KRCHA University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe studies on cancer-stem-cells (CSCs) have attracted so much attention in recent years as possible therapeutic implications. This study was carried out to investigate the gene expression profile of CSCs in human lung adenocarcinoma A549 cells.

resultsWe isolated CSCs from A549 cell line of which side population (SP) phenotype revealed several stem cell properties. After staining the cell line with Hoechst 33342 dye, the SP and non-side population (non-SP) cells were sorted using flow cytometric analysis. The mRNA expression profiles were measured using an Affymetrix GeneChip(R) oligonucleotide array. Among the sixty one differentially expressed genes, the twelve genes inclusive three poor prognostic genes; Aldo-keto reductase family 1, member C1/C2 (AKR1C1/C2), Transmembrane 4 L six family member 1 nuclear receptor (TM4SF1), and Nuclear receptor subfamily 0, group B, member 1 (NR0B1) were significantly up-regulated in SP compared to non-SP cells.

conclusionThis is the first report indicating the differences of gene expression pattern between SP and non-SP cells in A549 cells. We suggest that the up-regulations of the genes AKR1C1/C2, TM4SF1 and NR0B1 in SP of human adenocarcinoma A549 cells could be a target of poor prognosis in anti-cancer therapy.

Indexed as

Gene Expression ProfilingAdenocarcinomaGene Expression Regulation, NeoplasticHumansLung NeoplasmsNeoplasm ProteinsNeoplastic Stem CellsOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerRNA, NeoplasmNeoplasm ProteinsRNA, MessengerRNA, Neoplasm

Identifiers

PMID18034892
PMCPMC2234429
OpenAlexW2152539487

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.