serine peptidase inhibitor Kazal type 7Genealiases: ECG2 · ECRG2
Q-omics provides the consensus-scored SPINK7 profile across patient tissues and cancer cell-line models. SPINK7 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, SPINK7 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, SPINK7 RNA expression shows 16,852 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight SKCM, HNSC, and GBM as cancer lineages where SPINK7 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 SPINK7 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes SPINK7 survival associations across molecular data types. SPINK7 RNA expression shows survival associations in the most cancer types (21), followed by mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible SPINK7 RNA expression–survival associations across cancer types. High SPINK7 expression shows unfavorable associations in SKCM, KIRP and UVM, but favorable associations in HNSC, KIRC and LGG. The SKCM 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 SKCM as the clearest survival context for SPINK7 RNA expression.
This table summarizes SPINK7 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 2. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for SPINK7. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. SPINK7 shows lower tumor expression in HNSC, STAD and LUAD and higher tumor expression in KICH, LUSC and PAAD. The HNSC box plot shows higher SPINK7 RNA expression in normal versus tumor tissue (log2 FC = −3.355, t-test p < 0.001).
This table shows molecular features associated with SPINK7 in patient tissues and cancer cell lines. In patient samples, SPINK7 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, SPINK7 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 LARGE_INTESTINE and BLOOD_Lymphoma.
