Lennart A. Kester

Lineage tracing in rhabdoid tumor organoids and orthotopic xenografts reveals convergent transcriptional states

The paper uses lineage tracing and single-cell RNA sequencing to show that rhabdoid tumors converge on a limited set of transcriptional states despite clonal diversity.

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups

The paper introduces ALLCatchR2, a machine learning classifier that identifies 20 T-ALL subtypes across multiple cohorts and age groups with high accuracy.

Identification and validation of liquid biopsy-based methylation biomarkers: a germ cell tumor subtype-specific study

This study identifies and validates methylation biomarkers for YST subtype-specific liquid biopsy in germ cell tumors using DNA methylation data and qPCR validation.

The bone marrow microenvironment of RAS pathway mutant B-ALL is enriched for immunosuppressive regulatory T cells

This study identifies an immunosuppressive bone marrow microenvironment in RAS-mutant B-ALL, enriched for regulatory T cells, and suggests CTLA-4 blockade could enhance T-cell-engager efficacy.

Ultra-fast deep-learned pediatric CNS tumor classification during surgery

This paper develops a deep learning model for intraoperative pediatric CNS tumor classification using rapid sequencing, achieving accurate results within 60-90 minutes.

Systematic discovery of gene fusions in pediatric cancer by integrating RNA-seq and WGS

This paper develops a method to detect tumor-specific gene fusions in pediatric cancer by integrating RNA-seq and WGS, identifying 165 high-confidence fusions and their structural variants.