Cancers (May 2023)

Exploratory Genome-Wide Association Analysis to Identify Pharmacogenetic Determinants of Response to R-CHOP in Diffuse Large B-Cell Lymphoma

  • Gabriele Perrone,
  • Luigi Rigacci,
  • Sara Urru,
  • Sofya Kovalchuk,
  • Marco Brugia,
  • Alberto Fabbri,
  • Lorenzo Iovino,
  • Benedetta Puccini,
  • Emanuele Cencini,
  • Enrico Orciuolo,
  • Silvia Birtolo,
  • Alessandro Melosi,
  • Simone Santini,
  • Ida Landini,
  • Giandomenico Roviello,
  • Raffaella Santi,
  • Alessandra Macciotta,
  • Fulvio Ricceri,
  • Alberto Bosi,
  • Monica Bocchia,
  • Mario Petrini,
  • Enrico Mini,
  • Stefania Nobili

DOI
https://doi.org/10.3390/cancers15102753
Journal volume & issue
Vol. 15, no. 10
p. 2753

Abstract

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R-CHOP standard chemotherapy is successful in about 60% of diffuse large B-cell lymphoma (DLBCL) patients. Unresponsive patients have a poor prognosis, and predictive biomarkers of response to R-CHOP are lacking. We conducted the first prospective GWAS study aimed at exploring constitutional biomarkers predictive of R-CHOP efficacy and toxicity. Overall, 216 any-stage chemonaïve DLBCL patients candidate to R-CHOP were enrolled. The median age of the 185 eligible patients was 59.2 years, 49.7% were women and 45.4% were stage I–II patients. According to the Revised International Prognostic Index (R-IPI), 14.1%, 56.8% and 29.2% were in the very good, good and poor prognosis groups, respectively. Of the patients, 85.9% produced a complete response. Highly significant associations (i.e., p −8) were found between progression-free survival (PFS) and six SNPs (i.e., rs116665727, rs1607795, rs75614943, rs77241831, rs117500207, rs78466241). Additionally, five SNPs (i.e., rs74832512, rs117500207, rs35789195, rs11721010, rs12356569) were highly associated with overall survival (OS). Wild-type patients showed a prolonged PFS or OS compared with patients carrying deleterious alleles (p < 0.001). No association with the adequate significant threshold was observed between SNPs and the objective response or toxicity. In the future, these SNPs, alone or in combination, after a proper validation in an independent cohort, could contribute to improving the prediction of R-CHOP response.

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