Een pan-kankeranalyse van het transcriptomische landschap van de tumor micro-omgeving

Pan-cancer single-cell atlases explore heterogeneity of cell types residing within the tumor-microenvironment (TME). So far, atlases focused on individual cell types, failing to capture the full complexity of the TME. Here, we present a single-cell atlas that simultaneously considers heterogeneity in 5 cell types, collected from 230 treatment-naïve samples across 9 cancer types. We identify 70 pan-cancer single-cell subtypes, investigate their patterns of co-occurrence and show enrichment of specific subtypes in certain TMEs, e.g. immune-reactive versus -suppressive TME. We observe 2 TME hubs of strongly co-occurring subtypes: one hub resembling tertiary lymphoid structures (TLSs), another consisting of immune-reactive PD1+/PD-L1+ immune-regulatory T- and B-cells, dendritic cells and inflammatory macrophages. Subtypes belonging to each hub are also spatially co-localized, while their abundance associates with prediction to early and long-term checkpoint immunotherapy response. We publicly share our atlas as a Shiny app, allowing others to explore TME heterogeneity in different biological contexts.

Publication Details

Journal
Lirias (KU Leuven)
Published
2025-05-16
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Een pan-kankeranalyse van het transcriptomische landschap van de tumor micro-omgeving

Lirias (KU Leuven)
Single-cell and spatial transcriptomics
article

Een pan-kankeranalyse van het transcriptomische landschap van de tumor micro-omgeving

article en

Abstract

Pan-cancer single-cell atlases explore heterogeneity of cell types residing within the tumor-microenvironment (TME). So far, atlases focused on individual cell types, failing to capture the full complexity of the TME. Here, we present a single-cell atlas that simultaneously considers heterogeneity in 5 cell types, collected from 230 treatment-naïve samples across 9 cancer types. We identify 70 pan-cancer single-cell subtypes, investigate their patterns of co-occurrence and show enrichment of specific subtypes in certain TMEs, e.g. immune-reactive versus -suppressive TME. We observe 2 TME hubs of strongly co-occurring subtypes: one hub resembling tertiary lymphoid structures (TLSs), another consisting of immune-reactive PD1+/PD-L1+ immune-regulatory T- and B-cells, dendritic cells and inflammatory macrophages. Subtypes belonging to each hub are also spatially co-localized, while their abundance associates with prediction to early and long-term checkpoint immunotherapy response. We publicly share our atlas as a Shiny app, allowing others to explore TME heterogeneity in different biological contexts.

Lirias (KU Leuven)
Life in Land
Openalex Percentile: Top 38%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.