Q-omics provides the consensus-scored MIR141 profile across patient tissues and cancer cell-line models. MIR141 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, MIR141 is differentially expressed in 3, with the highest sampling consensus in BLCA. Additionally, MIR141 RNA expression shows 7,446 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight CESC, BLCA, and LSCC as cancer lineages where MIR141 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 MIR141 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR141 survival associations across molecular data types. MIR141 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR141 RNA expression–survival associations across cancer types. High MIR141 expression shows unfavorable associations in CESC, LIHC, THYM, LGG and READ, but favorable associations in ESCA. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify CESC as the clearest survival context for MIR141 RNA expression.
This table summarizes MIR141 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in BLCA for RNA.
This table ranks reproducible tumor–normal expression differences for MIR141. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR141 shows lower tumor expression in LUAD and higher tumor expression in BLCA and STAD. The BLCA box plot shows higher MIR141 RNA expression in tumor versus normal tissue (log2 FC = +0.837, t-test p < 0.001).
This table shows molecular features associated with MIR141 in patient tissues and cancer cell lines. In patient samples, MIR141 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, MIR141 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS.
