ArticleGenome biology2026
Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistance.
Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Chronic Infections as Catalysts for Melanoma Aggressiveness: Insights into Tumour Microenvironment Modulation.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- Spatial transcriptomics reveals influence of microenvironment on intrinsic fates in melanoma therapy resistance.Genome biology · 2026Article
- AP-1 mediates cellular adaptation and memory formation.Nature communications · 2026Article
- Spatially localized immune metaprograms reveal micro-niche organization in the human Dorsal Root Ganglion.PloS one · 2026Article
- Multi-modal omics analysis of a paediatric melanoma highlights mechanisms underlying treatment resistance.Communications medicine · 2025Article
- Heterogeneous therapy-resistant cancer cells have distinct and exploitable drug sensitivity profiles.bioRxiv : the preprint server for biology · 2025Article
- SpaceBar enables clone tracing in spatial transcriptomic data.bioRxiv : the preprint server for biology · 2025Article
- Multimodal integration strategies for clinical application in oncology.Frontiers in pharmacology · 2025Review
- AP-1 Mediates Cellular Adaptation and Memory Formation During Therapy Resistance.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Resistance to cancer therapy is driven by both cell-intrinsic and microenvironmental factors. We use spatial transcriptomics and single-cell RNA sequencing to uncover distinct resistance programs in melanoma cells shaped by intrinsic cellular states and the tumor microenvironment. Consensus non-negative matrix factorization reveals shared intrinsic resistance programs across cell lines. In patient samples, these resistance programs coexist within individual tumors and associate with diverse immune signatures. Single-cell resolution spatial transcriptomics in xenograft models reveals both intrinsically determined and extrinsically influenced resistant fates. This work demonstrates that therapy-resistant fates coexist within distinct microenvironments and that tissue features influence which fate is adopted.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.