Evidence map›Paper›PMID 27044543›Full record

ArticleJournal of experimental & clinical cancer research : CR2016

High expression of ID family and IGJ genes signature as predictor of low induction treatment response and worst survival in adult Hispanic patients with B-acute lymphoblastic leukemia.

Nataly Cruz-Rodriguez, Alba L Combita, Leonardo J Enciso, Sandra M Quijano, Paula L Pinzon, Olga C Lozano, Juan S Castillo, Li Li, Jose Bareño, Claudia Cardozo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 34 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Transcriptome Analysis in Mexican Adults with Acute Lymphoblastic Leukemia.International journal of molecular sciences · 2024
    Article
  6. Article
  7. Frontiers in molecular biosciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

14 authors at 5 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.
Sandra M QuijanoGrupo de Inmunobiología y Biología Celular, Departamento de Microbiología, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá, Colombia.
Paula L PinzonGroup of Investigation in Biology of Cancer, Instituto Nacional de Cancerología, Calle 1 # 9-85, Bogotá, Colombia.
Olga C LozanoGroup of Investigation in Biology of Cancer, Instituto Nacional de Cancerología, Calle 1 # 9-85, Bogotá, Colombia.
Juan S CastilloPrograma de Investigación e Innovación en Leucemias Agudas y Crónicas (PILAC), Instituto Nacional de Cancerología, Bogotá, Colombia.
Li LiStanley S. Scott Cancer Center, Center Louisiana State University Health Sciences Center Louisiana Cancer Research Center, 1700 Tulane Ave, Room 909, New Orleans, LA, USA.
Jose BareñoUniversidad CES, Medellin, Colombia.
Claudia CardozoHospital Universitario San Ignacio, Bogotá, Colombia.
Julio SolanoHospital Universitario San Ignacio, Bogotá, Colombia.
Maria V HerreraHospital Universitario San Ignacio, Bogotá, Colombia.
Jennifer CudrisHospital Universitario San Ignacio, Bogotá, Colombia.
Jovanny ZabaletaStanley S. Scott Cancer Center, Center Louisiana State University Health Sciences Center Louisiana Cancer Research Center, 1700 Tulane Ave, Room 909, New Orleans, LA, USA. jzabal@lsuhsc.edu.
Hospital Universitario San Ignacio · COInstituto Nacional de Cancerología · COLouisiana State University · USLouisiana State University Health Sciences Center New Orleans · USPontificia Universidad Javeriana · CO

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI AUGUSTO C. OCHOA · 2012 to 2026
$69.1M
Molecular and Soc. Determinants of Obesity and Metabolic Disorders in YouthU54MD008176 · NIMHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI FOUAD, MONA N. · 2012 to 2016
$13.7M
Mentoring Translational Researchers in LouisianaP20GM103501 · NIGMS · LSU HEALTH SCIENCES CENTER · PI OCHOA, AUGUSTO C. · 2012 to 2014
$6.3M
Training CoreP20MD004817 · NIMHD · DILLARD UNIVERSITY · PI HAGENSEE, MICHAEL · 2010 to 2014
$6.3M
Translational Genomics CoreP30GM114732 · NIGMS · LSU HEALTH SCIENCES CENTER · PI OCHOA, AUGUSTO C. · 2015 to 2019
$5.2M
NIGMS NIH HHS P20 GM103501NIGMS NIH HHS P20GM103501NIGMS NIH HHS P30 GM114732NIGMS NIH HHS P30GM114732NIGMS NIH HHS U54 GM104940NIGMS NIH HHS U54GM104940-01NIMHD NIH HHS P20 MD004817NIMHD NIH HHS P20MD004817NIMHD NIH HHS U54 MD008176NIMHD NIH HHS U54MD008176-01
6 · The paper itself

Abstract

backgroundB-Acute lymphoblastic leukemia (B-ALL) represents a hematologic malignancy with poor clinical outcome and low survival rates in adult patients. Remission rates in Hispanic population are almost 30% lower and Overall Survival (OS) nearly two years inferior than those reported in other ethnic groups. Only 61% of Colombian adult patients with ALL achieve complete remission (CR), median overall survival is 11.3 months and event-free survival (EFS) is 7.34 months. Identification of prognostic factors is crucial for the application of proper treatment strategies and subsequently for successful outcome. Our goal was to identify a gene expression signature that might correlate with response to therapy and evaluate the utility of these as prognostic tool in hispanic patients.

methodsWe included 43 adult patients newly diagnosed with B-ALL. We used microarray analysis in order to identify genes that distinguish poor from good response to treatment using differential gene expression analysis. The expression profile was validated by real-time PCR (RT-PCT).

resultsWe identified 442 differentially expressed genes between responders and non-responders to induction treatment. Hierarchical analysis according to the expression of a 7-gene signature revealed 2 subsets of patients that differed in their clinical characteristics and outcome.

conclusionsOur study suggests that response to induction treatment and clinical outcome of Hispanic patients can be predicted from the onset of the disease and that gene expression profiles can be used to stratify patient risk adequately and accurately. The present study represents the first that shows the gene expression profiling of B-ALL Colombian adults and its relevance for stratification in the early course of disease.

Indexed as

Up-RegulationAdultAntineoplastic Combined Chemotherapy ProtocolsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHispanic or LatinoHumansImmunoglobulin J-ChainsInhibitor of Differentiation Protein 1Inhibitor of Differentiation ProteinsMaleMiddle AgedNeoplasm ProteinsOligonucleotide Array Sequence AnalysisPrecursor Cell Lymphoblastic Leukemia-LymphomaID1 protein, humanID3 protein, humanImmunoglobulin J-ChainsInhibitor of Differentiation Protein 1Inhibitor of Differentiation ProteinsNeoplasm ProteinsAcute lymphoblastic leukemiaComplete remissionGene expression profileMinimal residual diseaseTranslational research

Identifiers

PMID27044543
PMCPMC4820984
OpenAlexW2337036870

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.