Q-omics provides the consensus-scored PHBP16 profile across patient tissues and cancer cell-line models. PHBP16 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in ACC. Additionally, PHBP16 RNA expression shows 8,499 significant protein co-abundance associations, with the highest sampling consensus in HNSC. Together, these results highlight ACC, and HNSC as cancer lineages where PHBP16 shows reproducible signals across survival, tumor–normal expression, and patient cross-omics analyses.

Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns.

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Survival associations

This table summarizes PHBP16 survival associations across molecular data types. PHBP16 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

PHBP16 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	13	ACC (84)	view →

This table ranks reproducible PHBP16 RNA expression–survival associations across cancer types. High PHBP16 expression shows unfavorable associations in ACC, MESO, LUSC, CESC and KIRC, but favorable associations in UCS. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for PHBP16 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
ACC	OS	Tertile	II,III,IV	0.231	0.784	<.001	84	view →
UCS	DFS	Tertile	III,IV	1.000	0.199	.012	48	view →
MESO	OS	Tertile	II,III,IV	0.287	0.595	.001	45	view →
LUSC	OS	Tertile	All	0.539	0.689	.008	33	view →
CESC	OS	Tertile	II,III,IV	0.499	0.788	.002	30	view →
KIRC	DFS	Tertile	IV	0.383	0.649	.005	30	view →

Pink = unfavorable, green = favorable. all 13 lineages →

PHBP16-ACC (OS)

Kaplan–Meier survival curve for PHBP16 RNA expression in ACC: high vs low expression groups.

Explore this curve interactively →

Cross-omics associations

This table shows molecular features associated with PHBP16 in patient tissues and cancer cell lines. In patient samples, PHBP16 shows the broadest associations at the RNA and protein expression levels, with HNSC recurring as the lineage with the largest associated feature set.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
Protein (mass-spec)	8,499	HNSC (5665)	view →
Function (RNA)	6,382	STAD (5351)	view →