SEMA3C

mutation — cross-omics
Cross-omicsMUTATION → RNACell-linePairwise association · TCGA cohorts

Across TCGA cell cohorts, SEMA3C mutation is significantly associated with the RNA expression of many other genes, with 29 significant associations in total. BLOOD_Lymphoma shows the largest number of these associations.

The most reproducible SEMA3C-associated genes across cancer lineages are SPATA16, CFAP100, and SP8. Each is linked with SEMA3C in more than 1 cancer types. Because this analysis shows association rather than direction, both SEMA3C-to-partner and partner-to-SEMA3C results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, SPATA16 grouped by SEMA3C-low versus SEMA3C-high in BLOOD_Lymphoma.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SEMA3C→partner) and Y-score (partner→SEMA3C) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
BLOOD_LymphomaSPATA16 →+0.158+3.321<.001.00631
BLOOD_LymphomaCFAP100 →+0.212+3.727<.001.00531
BLOOD_LymphomaSP8 →+0.343+3.717<.001.00531
BLOOD_LymphomaFAM166C →+0.027+3.459<.001.00431
BLOOD_LymphomaPLA2G2E →+0.026+3.584<.001.00431
BLOOD_LymphomaTRIM49D2 →+0.435+3.192<.001.00831
Each partner links to its Q-omics profile. Showing the 6 strongest of 29 associations by consensus.

SPATA16 by SEMA3C expression — BLOOD_Lymphoma

Box plot of SPATA16 in SEMA3C-low vs SEMA3C-high samples in BLOOD_Lymphoma.

Explore this box plot interactively →

Exploration