intraflagellar transport 43Genealiases: C14orf179 · CED3 · RP81 · SRTD18
Q-omics provides the consensus-scored IFT43 profile across patient tissues and cancer cell-line models. IFT43 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, IFT43 is differentially expressed in 12, with the highest sampling consensus in KICH. Additionally, IFT43 RNA expression shows 18,869 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, and ACC as cancer lineages where IFT43 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 IFT43 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes IFT43 survival associations across molecular data types. IFT43 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) 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 IFT43 RNA expression–survival associations across cancer types. High IFT43 expression shows unfavorable associations in KICH, ACC, UCS and SCLC, but favorable associations in BRCA and UCEC. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .002). Together, the overview and detailed table identify KICH as the clearest survival context for IFT43 RNA expression.
This table summarizes IFT43 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in LIHC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for IFT43. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. IFT43 shows lower tumor expression in KICH and THCA and higher tumor expression in LIHC, HNSC, KIRP and COAD. The KICH box plot shows higher IFT43 RNA expression in normal versus tumor tissue (log2 FC = −1.048, t-test p < 0.001).
This table shows molecular features associated with IFT43 in patient tissues and cancer cell lines. In patient samples, IFT43 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, IFT43 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
