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Angiomirs expression profiling in diffuse large B-Cell lymphoma.

Natália M Borges1, Marcela do Vale Elias1, Veruska L Fook-Alves1

  • 1Departamento de Oncologia Clínica e Experimental, Universidade Federal de São Paulo, São Paulo, Brazil.

Oncotarget
|December 20, 2015
PubMed
Summary

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Diffuse large B-cell lymphoma (DLBCL) research reveals specific microRNAs linked to disease subtypes and stromal signatures. While some angiomiRs show therapeutic potential, they did not predict DLBCL onset or relapse in serum samples.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Diffuse large B-cell lymphoma (DLBCL) presents treatment challenges, with 30% of cases being refractory or relapsing post-chemoimmunotherapy.
  • The interplay between angiogenesis and specific microRNAs (angiomiRs) in DLBCL remains largely unexplored.
  • Understanding these relationships is crucial for developing novel therapeutic strategies.

Purpose of the Study:

  • To investigate the expression of pro-angiomiRs and anti-angiomiRs in DLBCL tissues.
  • To correlate angiomiR expression with stromal signatures and microvascular density (MVD).
  • To identify potential angiomiRs as biomarkers or therapeutic targets in DLBCL.

Main Methods:

  • Eighty-four DLBCL cases were classified based on stromal signatures.
Keywords:
angiogenesislymphomamicroRNAs

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  • Expression levels of selected pro-angiomiRs and anti-angiomiRs were evaluated in paraffin-embedded tissues.
  • Correlations between angiomiR expression, stromal subtypes, MVD, and clinical parameters (IPI, CD34) were analyzed.
  • Validation was attempted in an independent cohort of serum samples.

    • Main Results:

    • DLBCL cases were categorized into stromal-1 (40%), stromal-2 (50%), and unclassified (10%).
    • Increased expression of pro-angiomiRs (e.g., miR-17, miR-210, miR-296) and decreased expression of anti-angiomiRs (e.g., miR-16, miR-20b, miR-221) were observed in various proportions of cases.
    • Associations were found between specific angiomiRs (miR-126, miR-130a, miR-328) and the non-GCB subtype, and between anti-angiomiRs (miR-16, miR-221, miR-328) and low MVD/stromal-1 signature.
    • None of the evaluated angiomiRs served as predictive biomarkers in the independent serum cohort.

    Conclusions:

    • Anti-angiomiRs miR-16, miR-221, and miR-328 are associated with the stromal-1 signature in DLBCL.
    • Pro-angiomiRs miR-17, miR-210, miR-296, and anti-angiomiR miR-20b are identified as potential therapeutic targets.
    • Despite their potential roles in DLBCL pathogenesis, these microRNAs were not predictive of disease onset or relapse in serum samples.