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Identification of Genomic Biomarkers of Disease Progression and Survival in Primary CNS Lymphoma. | LitMetric

AI Article Synopsis

  • Researchers studied genetic variations in primary CNS lymphoma (PCNSL) to find markers that could predict patient outcomes and responses to treatment.
  • They analyzed samples from 78 patients, finding that specific genetic changes, particularly on chromosome 6p and mutations in certain tumor suppressor genes, were linked to a high rate of disease progression and mortality.
  • The findings suggest that identifying these genetic markers can help doctors assess patient risk and customize therapies, leading to better treatment strategies in PCNSL.

Article Abstract

The determination of the genetic subtypes of primary CNS lymphoma (PCNSL) and their relationship to differential chemo-immunotherapeutic response has not been established. There is a particular need for genomic biomarkers that identify patients with newly-diagnosed PCNSL at high risk of early progression and death. We applied targeted next-generation sequencing for detection of recurrent single nucleotide variants, copy number alterations and zygosity abnormalities in diagnostic specimens from 78 PCNSL patients treated with a standard methotrexate-based regimen, to identify prognostically significant molecular subgroups. All patients received induction immunochemotherapy and 44 proceeded to dose-intensive consolidation. Genomic aberrations at four loci were associated with 91% of lymphoma progression events and all 15 deaths: (1) chromosome 6p copy-neutral loss of heterozygosity (CN-LOH) or focal homozygous deletion (HD) at 6p21.3, and mutations of tumor suppressor genes (2) BTG1, (3) ETV6 and (4) TP53. Cox regression multivariate analysis demonstrated a high risk of progression in patients with aberrations at these loci. Genomic aberrations at these loci were also associated with significantly shorter survival. Lower expression of HLA-DR was associated with 6p CN-LOH/6p21.3 HD and inferior prognosis. These genomic aberrations identify a high-risk molecular subgroup that may inform risk stratification in PCNSL. Further elucidation of the mechanisms of therapeutic resistance associated with the high-risk genetic phenotype is requisite to facilitate precision medicine and progress in therapy.

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Source
http://dx.doi.org/10.1182/bloodadvances.2024014460DOI Listing

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