Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

MSK-IMPACT 50K: Cancer type-specific variation in patterns of driver alterations across 50,000 tumors

Authors: Bandlamudi, Chaitanya; Memorial Sloan Kettering Cancer Center;

MSK-IMPACT 50K: Cancer type-specific variation in patterns of driver alterations across 50,000 tumors

Abstract

The oncogenic impact of somatic driver alterations is shaped by tissue context. Classifying alterations by cancer type and evaluating their context-specific properties requires large cohorts of genomically profiled and clinically annotated tumors. Here, we define cancer type-specific patterns of driver alterations, including 164 newly-identified hotspots, in 54,331 tumors from 48,179 patients spanning 448 histological cancer subtypes. One-third of all drivers arose in non-canonical contexts and exhibited distinct features including increased subclonality, later emergence, and divergent biological properties. Within cancer types, gene fusions and other distinct patterns of co-occurring drivers are indicative of earlier age of disease onset. We also identify ancestry-specific differences in human leukocyte antigen (HLA)-restricted driver neoantigens affecting T-Cell receptor therapy eligibility, and demonstrate cancer-type specific patterns of intrinsic resistance via somatic HLA loss. Our findings highlight that functional roles of driver alterations depend on the cancer types and clinical contexts in which they arise.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research