Research Use Only. KIRhub outputs are computational research artifacts. They are not validated for clinical decision-making, diagnosis, or treatment.

← The Pathway Atlas

Pathway entropy per cancer type

Derived

For every tumor sample, Shannon entropy across its 50 pathway scores. Low entropy = focused biology (likely targeted-therapy responsive). High entropy = chaotic biology (likely non-responsive to any single-target intervention).

4.79 bits5.58 bitsShannon entropy (higher = more chaotic pathway state)HCC (n=22)AML (n=38)CML (n=14)Adrenocortical Carcinoma (n=78)fetal (n=100)(unannotated) (n=10397)Med (n=888)Glial-neuronal tumor NOS (n=8)EPN (n=370)high-grade glioma (n=101)DNET (n=24)Posterior Fossa Ependymoma (n=24)low-grade glioma (n=119)Neurocytoma (n=3)Meningioma (n=29)Supratentorial Ependymoma (n=37)MPNST (n=4)Schwannoma (n=19)Diffuse intrinsic pontine glioma (n=18)ATRT (n=30)pilocytic astrocytoma (n=120)GTEX (n=1409)Spinal Cord Ependymoma (n=16)Ependymoma NOS (n=16)subependymal giant cell astrocytoma(SEGA) (n=9)Ganglioglioma (n=48)Neurofibroma (n=21)ganglioneuroblastoma (n=3)Embryonal tumors (n=29)pleomorphic xanthoastrocytoma(PXA) (n=6)medulloblastoma (n=117)Neuroblastoma (n=1)

Next steps

The most "druggable" cohort by this metric → browse cohorts. Cross-link this insight to the cohort reversal scorer to see whether the calibrated drugs differentially benefit low-entropy cohorts.