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, Jovanny Zabaleta, Sandra Quijano

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Background: Survival 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. Methods: To 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. Results: Both 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. Conclusion: By 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.

Original languageEnglish
Article number37
JournalJournal of Experimental and Clinical Cancer Research
Volume36
Issue number1
DOIs
StatePublished - 28 Feb 2017

Keywords

  • B-ALL
  • Gene-expression
  • Immunophenotype
  • Risk-stratification
  • Survival

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