Evidence map›Paper›PMID 11212884›Full record

ArticleMolecular pathology : MP2001

Correlation between apoptosis microarray gene expression profiling and histopathological lymph node lesions.

J P Dales, J Plumas, F Palmerini, E Devilard, T Defrance, A Lajmanovich, V Pradel, F Birg, L Xerri

Open access · bronzeAbstract read
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Article in Molecular pathology : MP, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-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

2 citing papers in PubMed, 20 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

9 authors at 1 institution in 1 country.

J P DalesINSERM U 119, Institut Paoli-Calmettes, IFR 57 and Université de la Méditerranée, Marseille, France.
J Plumas
F Palmerini
E Devilard
T Defrance
A Lajmanovich
V Pradel
F Birg
L Xerri
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMicroarray technology has recently led to the identification of molecular prognostic subgroups in non-Hodgkin's lymphomas. To determine the usefulness of ready made macroarrays as routine diagnostic tools in haematopathology, lymph node biopsies were analysed using a cDNA macroarray containing genes involved in apoptosis, including caspases.

methodsNine biopsy specimens were analysed using total frozen tissues: four samples of B cell follicular lymphoma, two of B cell diffuse large cell lymphoma, and three of non-neoplastic lymph nodes from benign lymphadenitis. Nine cell populations were sorted from fresh tissues: malignant B cells from two patients with follicular lymphoma and two with diffuse large cell lymphoma, reactive B cells from two benign lymph nodes, reactive T cells from one benign lymph node, and virgin (mantle zone) B cells and germinal centre B cells from benign tonsils. Immunohistochemistry (IHC) on paraffin wax sections was performed for the localisation of caspases 2, 3, 4, 7, 8, and 9.

resultsIn the clustered array data, sorted cells from samples sharing common histological lesions were grouped together, whereas the array/histology correlation was less satisfactory for tissues. The expression profiles of both the array and IHC methods correlated for most caspases and samples.

conclusionsVariations in array profiles of sorted cell populations can be associated with specific histological features, suggesting a possible diagnostic application of ready made apoptosis macroarrays in haematopathology.

Indexed as

ApoptosisBiopsyCaspasesDiagnosis, DifferentialDNA, ComplementaryDNA, NeoplasmGene ExpressionGene Expression ProfilingHumansLymphadenitisLymphoma, B-CellOligonucleotide Array Sequence AnalysisRNA, MessengerRNA, NeoplasmCaspasesDNA, ComplementaryDNA, NeoplasmRNA, MessengerRNA, Neoplasm

Identifiers

PMID11212884
PMCPMC1186995
OpenAlexW2057812530

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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.