transmembrane 6 superfamily member 1Genealiases: []
Q-omics provides the consensus-scored TM6SF1 profile across patient tissues and cancer cell-line models. TM6SF1 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, TM6SF1 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, TM6SF1 RNA expression shows 18,577 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KIRC, and GBM as cancer lineages where TM6SF1 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 TM6SF1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TM6SF1 survival associations across molecular data types. TM6SF1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1) 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 TM6SF1 RNA expression–survival associations across cancer types. High TM6SF1 expression shows favorable associations in KIRC, LUAD, SKCM, HNSC, UCS and LAML. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for TM6SF1 RNA expression.
This table summarizes TM6SF1 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 5. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for TM6SF1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TM6SF1 shows lower tumor expression in LUSC, THCA, LUAD, UCEC and BRCA and higher tumor expression in KIRC. The KIRC box plot shows higher TM6SF1 RNA expression in tumor versus normal tissue (log2 FC = +1.127, t-test p < 0.001).
This table shows molecular features associated with TM6SF1 in patient tissues and cancer cell lines. In patient samples, TM6SF1 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, TM6SF1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and SOFT_TISSUE.
