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Distinct driver genes and the expression of Hedgehog defines morphoeic basal cell carcinoma

GSE93797 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2026/06/25 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 12 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
Basal cell carcinomaThis series is part of our curated briefing on it.
Samples
12 samples: 12 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper
GLI2 and FLNB Define Periocular Morphoeic Basal Cell CarcinomaInternational journal of molecular sciences · 2025
Summary (written by the submitters)
Morphoeic basal cell carcinoma (mBCC) has a high risk of local recurrence compared to the more indolent nodular subtype. Little is known about the genetic and molecular makeup of mBCC that determines its invasive behaviour; this study represents the first comprehensive analysis of mBCC within the periocular region. A specific set of driver genes were found in mBCC including FLNB and HECTD4 leading to a loss of function.
Read the full summary ↓
NodBCC had a different set of driver genes including TP53, FADS1 and PPM1D. BCC located within the face confers a higher risk especially within the H zone, however, this did not confer a higher UV signature or mutational burden. Wnt signalling and natural killer cell cytotoxicity (NK) were two common pathways in nodular and mBCC. NK importance may be greater in mBCC and represents a novel therapeutic target. Aberrant Hedgehog (Hh) pathway signalling was shown to be more critical in mBCC than nodBCC on three molecular levels: mutational burden, transcriptome profile and protein expression. Surrounding mBCC stroma is abnormal, containing mutations in EPHA3, ATR, and GLI3. Hh pathway over-expression is seen in the tumour and stroma of morphoeic tissue, but not nodular, with the stroma potentially contributing to the morphoeic’s aggressive nature and local recurrence risk. These findings have implications for clinical practice by highlighting novel therapeutic targets for mBCC and the potential need to remove surrounding stroma to prevent local recurrence.
Published in
GLI2 and FLNB Define Periocular Morphoeic Basal Cell Carcinoma
Bladen JC, Wang J, Moosajee M et al. · International journal of molecular sciences 2025 · PMID 41373535 · doi:10.3390/ijms262311377
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE93797_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA362365 and SRA study SRP096981. Searching any of these in the dataset finder brings you back here.

Study design
12 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 12 sample titles: 12 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
More Basal cell carcinoma datasets

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