Q-omics provides the consensus-scored TP53TG3F profile across patient tissues and cancer cell-line models. TP53TG3F expression is associated with patient survival in 3 of 34 cancer types, with the highest sampling consensus in ESCA. Additionally, TP53TG3F RNA expression shows 416 significant gene co-expression associations, with the highest sampling consensus in STAD. Together, these results highlight ESCA, and STAD as cancer lineages where TP53TG3F 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 TP53TG3F survival associations across molecular data types. TP53TG3F RNA expression shows survival associations in the most cancer types (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

TP53TG3F data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
RNA	Kaplan–Meier	3	ESCA (54)	view →

This table ranks reproducible TP53TG3F RNA expression–survival associations across cancer types. High TP53TG3F expression shows unfavorable associations in ESCA, STAD and KIRP. The ESCA 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 ESCA as the clearest survival context for TP53TG3F RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
ESCA	DFS	Tertile	All	0.080	0.533	<.001	54	view →
STAD	DFS	Tertile	All	0.146	0.715	<.001	45	view →
KIRP	DFS	Tertile	All	0.178	0.867	<.001	18	view →

Pink = unfavorable, green = favorable. all 3 lineages →

TP53TG3F-ESCA (DFS)

Kaplan–Meier survival curve for TP53TG3F RNA expression in ESCA: high vs low expression groups.

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Cross-omics associations

This table shows molecular features associated with TP53TG3F in patient tissues and cancer cell lines. In patient samples, TP53TG3F shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, TP53TG3F RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in SKIN.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
RNA	416	STAD (306)	view →
Mutation	46	SKCM (28)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼RNA
RNA	4,773	SOFT_TISSUE (1008)	view →
Function (RNA)	1,733	SKIN (435)	view →