Evidence map›Paper›PMID 28245840›Full record

ArticleJournal of experimental & clinical cancer research : CR2017

Prognostic stratification improvement by integrating ID1/ID3/IGJ gene expression signature and immunophenotypic profile in adult patients with B-ALL.

Nataly Cruz-Rodriguez, Alba L Combita, Leonardo J Enciso, Lauren F Raney, Paula L Pinzon, Olga C Lozano, Alba M Campos, Niyireth Peñaloza, Julio Solano, Maria V Herrera and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 13 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

12 authors at 4 institutions in 2 countries.

Nataly Cruz-RodriguezPrograma de Investigación e Innovación en Leucemias Agudas y Crónicas (PILAC), Instituto Nacional de Cancerología, Bogotá, Colombia.
Alba L CombitaPrograma de Investigación e Innovación en Leucemias Agudas y Crónicas (PILAC), Instituto Nacional de Cancerología, Bogotá, Colombia. acombita@cancer.gov.co.
Leonardo J EncisoPrograma de Investigación e Innovación en Leucemias Agudas y Crónicas (PILAC), Instituto Nacional de Cancerología, Bogotá, Colombia.
Lauren F RaneyDepartment of Pediatrics, Pediatric Hematology-Oncology Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Paula L PinzonGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.
Olga C LozanoGrupo de Investigación en Biología del Cáncer, Instituto Nacional de Cancerología, Bogotá, Colombia.
Alba M CamposHospital Universitario San Ignacio, Bogotá, Colombia.
Niyireth PeñalozaHospital Universitario San Ignacio, Bogotá, Colombia.
Julio SolanoHospital Universitario San Ignacio, Bogotá, Colombia.
Maria V HerreraHospital Universitario San Ignacio, Bogotá, Colombia.
Jovanny ZabaletaDepartment of Pediatrics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Sandra QuijanoHospital Universitario San Ignacio, Bogotá, Colombia. squijano@javeriana.edu.co.
Hospital Universitario San Ignacio · COInstituto Nacional de Cancerología · COChildren's Hospital of New Orleans · USLouisiana State University Health Sciences Center New Orleans · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurvival of adults with B-Acute Lymphoblastic Leukemia requires accurate risk stratification of patients in order to provide the appropriate therapy. Contemporary techniques, using clinical and cytogenetic variables are incomplete for prognosis prediction.

methodsTo improve the classification of adult patients diagnosed with B-ALL into prognosis groups, two strategies were examined and combined: the expression of the ID1/ID3/IGJ gene signature by RT-PCR and the immunophenotypic profile of 19 markers proposed in the EuroFlow protocol by Flow Cytometry in bone marrow samples.

resultsBoth techniques were correlated to stratify patients into prognostic groups. An inverse relationship between survival and expression of the three-genes signature was observed and an immunophenotypic profile associated with clinical outcome was identified. Markers CD10 and CD20 were correlated with simultaneous overexpression of ID1, ID3 and IGJ. Patients with simultaneous expression of the poor prognosis gene signature and overexpression of CD10 or CD20, had worse Event Free Survival and Overall Survival than patients who had either the poor prognosis gene expression signature or only CD20 or CD10 overexpressed.

conclusionBy utilizing the combined evaluation of these two immunophenotypic markers along with the poor prognosis gene expression signature, the risk stratification can be significantly strengthened. Further studies including a large number of patients are needed to confirm these findings.

Indexed as

AdolescentAdultAntigens, CD20FemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunoglobulin J-ChainsImmunophenotypingInhibitor of Differentiation Protein 1Inhibitor of Differentiation ProteinsMaleMiddle AgedNeoplasm ProteinsNeprilysinPrecursor B-Cell Lymphoblastic Leukemia-LymphomaAntigens, CD20ID1 protein, humanID3 protein, humanImmunoglobulin J-ChainsInhibitor of Differentiation Protein 1Inhibitor of Differentiation ProteinsNeoplasm ProteinsNeprilysinB-ALLGene-expressionImmunophenotypeRisk-stratificationSurvival

Identifiers

PMID28245840
PMCPMC5331651
OpenAlexW2592017367

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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.