Rare Cancer Explorer

Rare cancers are a blind spot in genomics. Because each type is individually uncommon, its data ends up scattered across small, thinly annotated studies — and the big pan-cancer portals largely skip it. Rare Cancer Explorer was built to close that gap.

It pulls 5,451 samples across 13 rare solid-tumor types from 69 datasets into one curated resource, then layers on the analyses researchers actually reach for: expression browsing, differential expression with enrichment, Kaplan–Meier and Cox survival, mutation and methylation views, tumor-microenvironment deconvolution, immunotherapy-response cohorts, and drug-response prediction. A dedicated module even taps CRISPR dependency scores to gauge gene essentiality in rare-cancer cell lines.

Everything runs in the browser with no login, expression is uniformly reannotated to a single GENCODE reference, and results are precomputed for snappy interaction — so a bench biologist or clinical oncologist can get cross-dataset answers without writing a line of code.