spermatogenesis and oogenesis specific basic helix-loop-helix 2Genealiases: SOSF2 · SPATA28 · TEB1 · bHLHe81
Q-omics provides the consensus-scored SOHLH2 profile across patient tissues and cancer cell-line models. SOHLH2 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, SOHLH2 is differentially expressed in 12, with the highest sampling consensus in KIRP. Additionally, SOHLH2 RNA expression shows 9,612 significant gene co-expression associations, with the highest sampling consensus in LAML. Together, these results highlight LIHC, KIRP, and LAML as cancer lineages where SOHLH2 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 SOHLH2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SOHLH2 survival associations across molecular data types. SOHLH2 RNA expression shows survival associations in the most cancer types (18), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SOHLH2 RNA expression–survival associations across cancer types. High SOHLH2 expression shows unfavorable associations in LIHC, HNSC, KIRC, SKCM, THCA 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 SOHLH2 RNA expression.
This table summarizes SOHLH2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for SOHLH2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SOHLH2 shows lower tumor expression in COAD and KICH and higher tumor expression in KIRP, LUAD, LUSC and HNSC. The KIRP box plot shows higher SOHLH2 RNA expression in tumor versus normal tissue (log2 FC = +0.219, t-test p = .003).
This table shows molecular features associated with SOHLH2 in patient tissues and cancer cell lines. In patient samples, SOHLH2 shows the broadest associations at the RNA and protein expression levels, with LAML recurring as the lineage with the largest associated feature set. In cancer cell lines, SOHLH2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in BONE and LARGE_INTESTINE.
