SMAD family member 2Genealiases: CHTD8 · JV18 · JV18-1 · LDS6 · MADH2 · MADR2
Q-omics provides the consensus-scored SMAD2 profile across patient tissues and cancer cell-line models. SMAD2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, SMAD2 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, SMAD2 RNA expression shows 21,237 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and THCA as cancer lineages where SMAD2 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 SMAD2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SMAD2 survival associations across molecular data types. SMAD2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5) 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 SMAD2 RNA expression–survival associations across cancer types. High SMAD2 expression shows unfavorable associations in ACC, BLCA and LIHC, but favorable associations in KIRC, SCLC and HNSC. The ACC 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 ACC as the clearest survival context for SMAD2 RNA expression.
This table summarizes SMAD2 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 5. The strongest signals are observed in THCA for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for SMAD2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SMAD2 shows lower tumor expression in THCA, COAD and KIRC and higher tumor expression in LIHC, HNSC and CHOL. The THCA box plot shows higher SMAD2 RNA expression in normal versus tumor tissue (log2 FC = −0.748, t-test p < 0.001).
This table shows molecular features associated with SMAD2 in patient tissues and cancer cell lines. In patient samples, SMAD2 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, SMAD2 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 SKIN and BLOOD_Leukemia.
