Q-omics provides the consensus-scored RINT1 profile across patient tissues and cancer cell-line models. RINT1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RINT1 is differentially expressed in 16, with the highest sampling consensus in KIRC. Additionally, RINT1 protein abundance shows 21,795 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, KIRC, and GBM as cancer lineages where RINT1 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.
Premium analyses for RINT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RINT1 survival associations across molecular data types. RINT1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (6) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RINT1 RNA expression–survival associations across cancer types. High RINT1 expression shows unfavorable associations in KICH, MESO, LGG, ACC, UVM and LIHC. The KICH 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 KICH as the clearest survival context for RINT1 RNA expression.
This table summarizes RINT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RINT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RINT1 shows higher tumor expression in KIRC, LIHC, LUAD, BLCA, HNSC and COAD. The KIRC box plot shows higher RINT1 RNA expression in tumor versus normal tissue (log2 FC = +0.603, t-test p < 0.001).
This table shows molecular features associated with RINT1 in patient tissues and cancer cell lines. In patient samples, RINT1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, RINT1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
