zinc finger protein 143Genealiases: SBF · STAF · pHZ-1
Q-omics provides the consensus-scored ZNF143 profile across patient tissues and cancer cell-line models. ZNF143 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, ZNF143 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, ZNF143 RNA expression shows 20,528 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UCS, HNSC, and ACC as cancer lineages where ZNF143 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 ZNF143 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNF143 survival associations across molecular data types. ZNF143 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) 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 ZNF143 RNA expression–survival associations across cancer types. High ZNF143 expression shows unfavorable associations in LIHC, ACC, MESO and KIRP, but favorable associations in UCS and KIRC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UCS as the clearest survival context for ZNF143 RNA expression.
This table summarizes ZNF143 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ZNF143. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNF143 shows lower tumor expression in KICH and higher tumor expression in HNSC, COAD, LIHC, KIRC and CHOL. The HNSC box plot shows higher ZNF143 RNA expression in tumor versus normal tissue (log2 FC = +0.584, t-test p < 0.001).
This table shows molecular features associated with ZNF143 in patient tissues and cancer cell lines. In patient samples, ZNF143 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, ZNF143 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
