From
Dr. Alexander Bondoc
Identification of distinct tumor cell populations and key genetic mechanisms through single cell sequencing in hepatoblastoma
pubmed.ncbi.nlm.nih.gov shows its articles on its own site.
Read the article on pubmed.ncbi.nlm.nih.gov ↗Article · Sep 2021 · 1 min read
In brief
In brief
This study uses single-cell RNA sequencing to map cellular heterogeneity in hepatoblastoma, identifying distinct tumor cell populations and driver clusters that may explain chemoresistance. The research combines human tumor samples and patient-derived xenografts to reveal intratumor genetic expression patterns and signaling pathways that could inform novel targeted therapies for this pediatric liver malignancy.
Written by the GCMD Library team from the article.
Hepatoblastoma (HB) is the most common primary liver malignancy of childhood, and molecular investigations are limited and effective treatment options for chemoresistant disease are lacking. There is a knowledge gap in the investigation of key driver cells of HB in tumor. Here we show single cell ribonucleic acid sequencing (scRNAseq) analysis of human tumor, background liver, and patient derived xenograft (PDX) to demonstrate gene expression patterns within tumor and to identify intratumor cell subtype heterogeneity to define differing roles in pathogenesis based on intracellular signaling in pediatric HB. We have identified a driver tumor cell cluster in HB by genetic expression which can be examined to define disease mechanism and treatments. Identification of both critical mechanistic pathways combined with unique cell populations provide the basis for discovery and investigation of novel treatment strategies in vitro and in vivo.
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Research
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