Back

Spatial transcriptomic analysis of progressing oral epithelial dysplasia reveals unique differentially expressed genes and microenvironmental changes.

Lavoie, V.; Jeong, W.; Jeon, J.; Andrade, J.; Ali, A.; Jurisica, I.; Esfandiari, N.; Leong, I.; Yeo, H.; Molska, G.; Bradley, G.; Bubola, J.; Chugh, D.; Magalhaes, M.

2026-01-08 cancer biology
10.64898/2026.01.07.697832 bioRxiv
Show abstract

Oral squamous cell carcinoma (OSCC) often arises from oral epithelial dysplasia (OED); however, the gene expression changes during OED progression and its microenvironment are not fully understood. This study used spatial transcriptomics to identify differentially expressed genes and microenvironmental alterations associated with OEDs malignant transformation of OED. A ten-year retrospective analysis of paired OSCC and prior OED samples was conducted at the University of Toronto Oral Pathology Laboratory. A total of 24 paired progressing OED cases and 23 matched non-progressing OED cases were examined using spatial transcriptomics in PanCK+ (dysplastic epithelium or OSCC) and PanCK- (stroma) regions. The analysis included differential gene expression, pathway analysis and spatial deconvolution. Three genes (STOM, KIF26A, and CDKN2A) showed increased expression in the epithelial component of progressing OED compared with non-progressing OED, whereas 41 genes were differentially expressed in OSCC versus the precursor samples. Ubiquitination-related pathways were enriched during OED progression. Functional validation identified TNFRSF12A (Fn14) as a potential regulator of OED progression to OSCC. The OSCC microenvironment displayed increased numbers of fibroblasts, neutrophils, monocytes, and mast cells compared with that of the precursor samples. Our findings suggest that spatial profiling of OED can help identify unique gene signatures and microenvironmental changes that occur before the malignant transformation.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Molecular Oncology
55 papers in training set
Top 0.1%
15.3%
2
Cancers
213 papers in training set
Top 1.0%
5.6%
3
The Journal of Pathology
26 papers in training set
Top 0.1%
4.4%
4
Journal of Translational Medicine
57 papers in training set
Top 0.2%
4.1%
5
eLife
5828 papers in training set
Top 29%
4.1%
6
Scientific Reports
3612 papers in training set
Top 29%
3.6%
7
Experimental Dermatology
10 papers in training set
Top 0.1%
3.5%
8
PLOS ONE
5266 papers in training set
Top 37%
3.3%
9
Acta Neuropathologica Communications
89 papers in training set
Top 0.6%
3.3%
10
Cancer Research Communications
51 papers in training set
Top 0.5%
2.7%
11
Clinical Cancer Research
64 papers in training set
Top 0.8%
2.4%
50% of probability mass above
12
Molecular Cancer Research
49 papers in training set
Top 0.6%
1.7%
13
Frontiers in Oncology
103 papers in training set
Top 2%
1.5%
14
Genome Medicine
183 papers in training set
Top 3%
1.4%
15
International Journal of Molecular Sciences
494 papers in training set
Top 9%
1.4%
16
Oncogene
85 papers in training set
Top 1%
1.3%
17
JID Innovations
11 papers in training set
Top 0.2%
1.1%
18
Journal of Investigative Dermatology
49 papers in training set
Top 0.4%
1.1%
19
Molecular Cancer
16 papers in training set
Top 0.2%
1.1%
20
Oncotarget
18 papers in training set
Top 0.2%
1.1%
21
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.5%
1.1%
22
JCI Insight
277 papers in training set
Top 6%
1.1%
23
Frontiers in Immunology
638 papers in training set
Top 8%
1.0%
24
Cell Communication and Signaling
51 papers in training set
Top 1%
1.0%
25
Disease Models & Mechanisms
119 papers in training set
Top 2%
1.0%
26
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 4%
1.0%
27
Translational Oncology
21 papers in training set
Top 0.7%
1.0%
28
Nature Communications
5641 papers in training set
Top 54%
1.0%
29
Molecular Medicine
11 papers in training set
Top 0.2%
0.9%
30
International Journal of Cancer
49 papers in training set
Top 1%
0.9%