janus kinase and microtubule interacting protein 1Genealiases: Gababrbp · JAMIP1 · MARLIN1
Q-omics provides the consensus-scored JAKMIP1 profile across patient tissues and cancer cell-line models. JAKMIP1 expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, JAKMIP1 is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, JAKMIP1 RNA expression shows 16,773 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KIRC, and UVM as cancer lineages where JAKMIP1 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 JAKMIP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes JAKMIP1 survival associations across molecular data types. JAKMIP1 RNA expression shows survival associations in the most cancer types (27), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible JAKMIP1 RNA expression–survival associations across cancer types. High JAKMIP1 expression shows unfavorable associations in UVM and KIRP, but favorable associations in SKCM, HNSC, CESC and STAD. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for JAKMIP1 RNA expression.
This table summarizes JAKMIP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for JAKMIP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. JAKMIP1 shows lower tumor expression in THCA and higher tumor expression in KIRC, BRCA, KIRP, LIHC and HNSC. The KIRC box plot shows higher JAKMIP1 RNA expression in tumor versus normal tissue (log2 FC = +1.026, t-test p < 0.001).
This table shows molecular features associated with JAKMIP1 in patient tissues and cancer cell lines. In patient samples, JAKMIP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, JAKMIP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
