single stranded DNA binding protein 2Genealiases: HSPC116 · SOSS-B2
Q-omics provides the consensus-scored SSBP2 profile across patient tissues and cancer cell-line models. SSBP2 expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, SSBP2 is differentially expressed in 15, with the highest sampling consensus in COAD. Additionally, SSBP2 RNA expression shows 19,916 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight UVM, COAD, and KIRP as cancer lineages where SSBP2 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 SSBP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SSBP2 survival associations across molecular data types. SSBP2 RNA expression shows survival associations in the most cancer types (29), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SSBP2 RNA expression–survival associations across cancer types. High SSBP2 expression shows unfavorable associations in OV and LGG, but favorable associations in UVM, ACC, LUAD and UCS. The UVM 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 UVM as the clearest survival context for SSBP2 RNA expression.
This table summarizes SSBP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 6. The strongest signals are observed in COAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for SSBP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SSBP2 shows lower tumor expression in COAD, KICH, HNSC, LUAD, READ and BLCA. The COAD box plot shows higher SSBP2 RNA expression in normal versus tumor tissue (log2 FC = −1.161, t-test p < 0.001).
This table shows molecular features associated with SSBP2 in patient tissues and cancer cell lines. In patient samples, SSBP2 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, SSBP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
