Publications by authors named "Alexander Gorelyshev"

Tumor mutation burden (TMB) is a well-known efficacy predictor for checkpoint inhibitor immunotherapies. Currently, TMB assessment relies on DNA sequencing data. Gene expression profiling by RNA sequencing (RNAseq) is another type of analysis that can inform clinical decision-making and including TMB estimation may strongly benefit this approach, especially for the formalin-fixed, paraffin-embedded (FFPE) tissue samples.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Alexander Gorelyshev"

  • Alexander Gorelyshev's recent research focuses on the identification of genetic variations, including the novel HLA-B*07:458 allele, which may have implications for bone marrow donation and transplantation.
  • He has contributed to the understanding of tumor mutation burden (TMB) by demonstrating that RNA sequencing data from FFPE tumor blocks can effectively estimate TMB, which is crucial for predicting the efficacy of immunotherapies.
  • Gorelyshev's work also explores the genetic factors in familial tumors, as seen in his investigation of a second-hit APC mutation in adamantinomatous craniopharyngiomas, enhancing knowledge of the genetic basis of this condition.