Q-omics provides the consensus-scored RSC1A1 profile across patient tissues and cancer cell-line models. RSC1A1 expression is associated with patient survival in 1 of 34 cancer types, with the highest sampling consensus in SCLC. Additionally, RSC1A1 mutation status shows 3,401 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight SCLC, and UCEC as cancer lineages where RSC1A1 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 RSC1A1 survival associations across molecular data types. RSC1A1 RNA expression shows survival associations in the most cancer types (1), followed by mutation status (4) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.

RSC1A1 data type	Survival analysis	Lineage consensus	Lineage of highest sampling consensus
Mutation	Kaplan–Meier	4	OV (18)	view →
Protein (mass-spec)	Kaplan–Meier	1	LSCC (6)	view →
RNA	Kaplan–Meier	1	SCLC (21)	view →

This table ranks reproducible RSC1A1 RNA expression–survival associations across cancer types. High RSC1A1 expression shows favorable associations in SCLC. The SCLC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .012). Together, the overview and detailed table identify SCLC as the clearest survival context for RSC1A1 RNA expression.

Lineage	Measure	Split	Stage	AUC1 high	AUC2 low	p	Sampling consensus
SCLC	OS	Quartile	II,III,IV	0.795	0.462	.012	21	view →

Pink = unfavorable, green = favorable. all 1 lineages →

RSC1A1-SCLC (OS)

Kaplan–Meier survival curve for RSC1A1 RNA expression in SCLC: high vs low expression groups.

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Cross-omics associations

This table shows molecular features associated with RSC1A1 in patient tissues and cancer cell lines. In patient samples, RSC1A1 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, RSC1A1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and LARGE_INTESTINE.

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼Mutation
RNA	3,401	UCEC (3332)	view →
Protein (RPPA)	33	UCEC (33)	view →
▼RNA
RNA	1,343	SCLC (1343)	view →
Function (RNA)	425	SCLC (425)	view →
▼Protein (mass-spec)
Protein (mass-spec)	1,129	LUAD (494)	view →
RNA	640	LUAD (422)	view →

Associated data type	Strength (# associated data)	Lineage of highest associated data
▼CRISPR
CRISPR	1,876	LUNG_NSCLC_LUAD (169)	view →
RNA	1,069	OESOPHAGUS (112)	view →
▼RNA
RNA	8,228	LARGE_INTESTINE (1751)	view →
Function (RNA)	3,139	BREAST (487)	view →
▼Mutation
Mutation	4,371	LARGE_INTESTINE (4091)	view →
RNA	33	LARGE_INTESTINE (16)	view →
▼shRNA
shRNA	1,914	OESOPHAGUS (268)	view →
RNA	1,559	CNS (265)	view →