ganglioside induced differentiation associated protein 1 like 1Genealiases: dJ881L22.1 · dJ995J12.1.1
Q-omics provides the consensus-scored GDAP1L1 profile across patient tissues and cancer cell-line models. GDAP1L1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, GDAP1L1 is differentially expressed in 11, with the highest sampling consensus in UCEC. Additionally, GDAP1L1 protein abundance shows 19,636 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, UCEC, and GBM as cancer lineages where GDAP1L1 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 GDAP1L1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GDAP1L1 survival associations across molecular data types. GDAP1L1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GDAP1L1 RNA expression–survival associations across cancer types. High GDAP1L1 expression shows unfavorable associations in KIRC, UCEC and UCS, but favorable associations in LGG, KIRP and BRCA. The KIRC 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 KIRC as the clearest survival context for GDAP1L1 RNA expression.
This table summarizes GDAP1L1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 3. The strongest signals are observed in UCEC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for GDAP1L1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GDAP1L1 shows lower tumor expression in UCEC, THCA and STAD and higher tumor expression in KIRP, KICH and CHOL. The UCEC box plot shows higher GDAP1L1 RNA expression in normal versus tumor tissue (log2 FC = −0.521, t-test p < 0.001).
This table shows molecular features associated with GDAP1L1 in patient tissues and cancer cell lines. In patient samples, GDAP1L1 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, GDAP1L1 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 LUNG_SCLC and BLOOD_Leukemia.
