PCSK1N

Across TCGA pan-cancer cohorts, PCSK1N RNA is linked to patient survival in 28 of 34 cancer types, making it the most broadly survival-associated PCSK1N data layer compared with 1 for mutation status and 5 for mass-spec protein.

The strongest signal is observed in uterine carcinosarcoma (UCS), where higher PCSK1N RNA is associated with worse disease-free survival. In most high-consensus cancer types, elevated PCSK1N expression acts as an unfavorable survival marker, although some lineages such as KIRC and PAAD show a favorable association.

UCS, KIRC, and PAAD are the cancer types where PCSK1N RNA most reproducibly stratifies survival.

RNA survival associations by lineage

Ranked by sampling consensus. AUC1 and AUC2 indicate survival in the high- and low-expression groups, respectively; the lower AUC marks the poorer-surviving group. p-values are from the log-rank test.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
UCS	DFS	Median	IV	0.367	0.952	.001	46	view →
KIRC	DFS	Median	III,IV	0.571	0.365	<.001	34	view →
PAAD	OS	Quartile	All	0.607	0.253	<.001	31	view →
UCEC	OS	Tertile	All	0.819	0.908	.004	28	view →
PRAD	DFS	Median	All	0.900	0.965	.002	28	view →
STAD	OS	Tertile	II,III,IV	0.227	0.415	.014	25	view →
SCLC	OS	Quartile	II,III,IV	0.711	0.267	.006	20	view →
READ	OS	Median	III,IV	0.888	0.446	.009	18	view →
THYM	DFS	Quartile	All	0.378	1.000	<.001	14	view →
LIHC	OS	Tertile	II,III,IV	0.492	0.723	.014	9	view →
CESC	DFS	Median	All	0.783	0.857	.026	8	view →
ESCA	DFS	Tertile	III,IV	0.237	0.469	.019	6	view →

Pink = unfavorable, green = favorable. Showing the 12 strongest of 28 lineages.

PCSK1N–UCS (DFS)

Open the UCS breakdown →