Q-omics provides the consensus-scored ZNHIT3 profile across patient tissues and cancer cell-line models. ZNHIT3 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, ZNHIT3 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, ZNHIT3 RNA expression shows 20,035 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LIHC, HNSC, and LSCC as cancer lineages where ZNHIT3 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 ZNHIT3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZNHIT3 survival associations across molecular data types. ZNHIT3 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (1) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ZNHIT3 RNA expression–survival associations across cancer types. High ZNHIT3 expression shows unfavorable associations in LIHC, ACC, KICH and KIRP, but favorable associations in BRCA and READ. The LIHC 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 LIHC as the clearest survival context for ZNHIT3 RNA expression.
This table summarizes ZNHIT3 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 3. The strongest signals are observed in KIRC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for ZNHIT3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZNHIT3 shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRC, BLCA, LIHC and COAD. The HNSC box plot shows higher ZNHIT3 RNA expression in tumor versus normal tissue (log2 FC = +0.786, t-test p < 0.001).
This table shows molecular features associated with ZNHIT3 in patient tissues and cancer cell lines. In patient samples, ZNHIT3 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, ZNHIT3 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 UPPER_AERODIGESTIVE_TRACT and SOFT_TISSUE.
