Evidence map›Paper›PMID 12399964›Full record

ArticleLeukemia2002

Expression of myeloid-specific genes in childhood acute lymphoblastic leukemia - a cDNA array study.

T Niini, K Vettenranta, J Hollmén, M L Larramendy, Y Aalto, H Wikman, B Nagy, J K Seppänen, A Ferrer Salvador, H Mannila and 2 more

Abstract read
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Article in Leukemia, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 39 citations in OpenAlex.

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  10. Analysis of select members of the E26 (ETS) transcription factors family in colorectal cancer.Virchows Archiv : an international journal of pathology · 2011
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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

12 authors at 3 institutions in 1 country.

T NiiniDepartment of Pathology, Haartman Institute and Helsinki University Central Hospital, University of Helsinki, Finland.
K Vettenranta
J Hollmén
M L Larramendy
Y Aalto
H Wikman
B Nagy
J K Seppänen
A Ferrer Salvador
H Mannila
U M Saarinen-Pihkala
S Knuutila
Helsinki University Hospital · FIUniversity of Helsinki · FIHelsinki Institute for Information Technology · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several specific cytogenetic changes are known to be associated with childhood acute lymphoblastic leukemia (ALL), and many of them are important prognostic factors for the disease. Little is known, however, about the changes in gene expression in ALL. Recently, the development of cDNA array technology has enabled the study of expression of hundreds to thousands of genes in a single experiment. We used the cDNA array method to study the gene expression profiles of 17 children with precursor-B ALL. Normal B cells from adenoids were used as reference material. We discuss the 25 genes that were most over-expressed compared to the reference. These included four genes that are normally expressed only in the myeloid lineages of the hematopoietic cells: RNASE2, GCSFR, PRTN3 and CLC. We also detected over-expression of S100A12, expressed in nerve cells but also in myeloid cells. In addition to the myeloid-specific genes, other over-expressed genes included AML1, LCP2 and FGF6. In conclusion, our study revealed novel information about gene expression in childhood ALL. The data obtained may contribute to further studies of the pathogenesis and prognosis of childhood ALL.

Indexed as

Acute DiseaseAdolescentAntigens, NeoplasmBiomarkers, TumorChildChild, PreschoolDNA, NeoplasmDNA PrimersFemaleGene Expression ProfilingGenes, NeoplasmHumansInfantKaryotypingMaleMyeloid CellsAntigens, NeoplasmBiomarkers, TumorDNA, NeoplasmDNA Primers

Identifiers

PMID12399964
OpenAlexW2329437053

What OpenQuestion holds

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Registered trials

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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.