centromere protein TGenealiases: C16orf56 · CENP-T · SSMGA
Q-omics provides the consensus-scored CENPT profile across patient tissues and cancer cell-line models. CENPT expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CENPT is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, CENPT protein abundance shows 28,509 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight KIRC, HNSC, and LUAD as cancer lineages where CENPT 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 CENPT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CENPT survival associations across molecular data types. CENPT RNA expression shows survival associations in the most cancer types (22), followed by mutation status (4) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CENPT RNA expression–survival associations across cancer types. High CENPT expression shows unfavorable associations in KIRC, ACC, COAD and LIHC, but favorable associations in PAAD and THYM. 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 CENPT RNA expression.
This table summarizes CENPT 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 6. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for CENPT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CENPT shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, KIRC, COAD and LIHC. The HNSC box plot shows higher CENPT RNA expression in tumor versus normal tissue (log2 FC = +0.810, t-test p < 0.001).
This table shows molecular features associated with CENPT in patient tissues and cancer cell lines. In patient samples, CENPT shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, CENPT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and LARGE_INTESTINE.
