AI Article Synopsis

  • The study explores the effectiveness of PARP inhibitors in treating various cancers, focusing on the relationship between genomic loss of heterozygosity (gLOH) and gene alterations in patients.
  • It analyzes 406 tumor samples using next-generation sequencing (NGS), highlighting that nearly 21% of tumors displayed homologous recombination (HR) variations, while about 5% had gene alterations.
  • The findings suggest a strong correlation between high gLOH percentages and positive gene alterations, indicating that assessing gLOH could help identify more patients who may benefit from PARP inhibitors.

Article Abstract

Several tumor types have been efficiently treated with PARP inhibitors (PARPis), which are now approved for the treatment of ovarian, breast, prostate, and pancreatic cancers. The genes and mutations in many additional genes involved in the HR pathway may be responsible for the HRD phenomenon. The aim of the present study was to investigate the association between genomic loss of heterozygosity (gLOH) and alterations in 513 genes with targeted and immuno-oncology therapies in 406 samples using an NGS assay. In addition, the %gLOHs of 24 samples were calculated using the Affymetrix technology in order to compare the results obtained via the two methodologies. HR variations occurred in 20.93% of the malignancies, while gene alterations occurred in 5.17% of the malignancies. The %LOH was highly correlated with alterations in the genes, since 76.19% (16/21) of the positive tumors had a high %LOH value ( = 0.007). Moreover, the LOH status was highly correlated with the and statuses, but there was no association with the TMB value. Lin's concordance correlation coefficient for the 24 samples simultaneously examined via both assays was 0.87, indicating a nearly perfect agreement. In conclusion, the addition of gLOH analysis could assist in the detection of additional patients eligible for treatment with PARPis.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10529941PMC
http://dx.doi.org/10.3390/diagnostics13182962DOI Listing

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