Nicolas Stransky

The paper integrates multi-modal data to identify immune subgroups in RCC and suggests immunotherapy strategies based on distinct T cell communication networks.

This study uses single-cell RNA sequencing to analyze metastatic urothelial carcinoma and identifies macrophage-driven resistance to PD-(L)1 blockade as a key mechanism.

The paper introduces Caris-ComBat-seq, a method to harmonize RNA-seq data by directionally adjusting batches, separating training and adjustment steps, and handling outliers, validated on large tumor datasets.

This study identifies genotype-specific immune and metabolic vulnerabilities in lung adenocarcinoma through cross-species analysis of human and mouse tumors.

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.

Filtering STAR's chimeric alignments against gene annotations outscored 15 other fusion callers on 60 cancer cell lines and ran fastest, averaging 2.3 single-core hours per sample.