Back

Partial epithelial-to-mesenchymal transition is prognostic and associates with Slug in head and neck cancer

Schinke, H.; Pan, M.; Akyol, M.; Kranz, G.; Libl, D.; Simon, F.; Canis, M.; Baumeister, P.; Gires, O.

2020-10-21 cancer biology
10.1101/2020.10.20.346692 bioRxiv
Show abstract

Therapy resistance leading to local recurrence and metastases remains highly problematic in head and neck squamous cell carcinomas (HNSCC). Single cell RNA-sequencing defined a partial epithelial-to-mesenchymal transition (p-EMT) signature associated with metastases in HNSCC. However, the prognostic value of the p-EMT signature and potential drivers of p-EMT in HNSCC remain unclear. Here, single sample scoring of molecular phenotypes (Singscoring) served to establish clinical p-EMT-Singscores that were significantly associated with nodal metastases and predicted overall survival in two independent HNSCC cohorts. p-EMT-Singscores correlated most strongly with EMT transcription factor (EMT-TF) Slug. In vitro, Slug promoted p-EMT, enhanced invasion, and resistance to irradiation. In patients, Slug protein levels in tumors predicted disease-free survival and its peripheral expression at the interphase to tumor-microenvironment was significantly increased in recurring patients. Thus, p-EMT represents a novel clinical risk-predictor that impacts on HNSCC patients outcome and is partly controlled by Slug.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Molecular Oncology
55 papers in training set
Top 0.1%
19.2%
2
Journal of Experimental & Clinical Cancer Research
25 papers in training set
Top 0.1%
12.4%
3
International Journal of Cancer
49 papers in training set
Top 0.1%
12.4%
4
eLife
5828 papers in training set
Top 20%
5.7%
5
Cancers
213 papers in training set
Top 0.9%
5.7%
50% of probability mass above
6
Frontiers in Oncology
103 papers in training set
Top 0.7%
5.0%
7
Oncogene
85 papers in training set
Top 0.5%
4.2%
8
Cell Death & Disease
126 papers in training set
Top 0.9%
2.7%
9
Cellular and Molecular Life Sciences
96 papers in training set
Top 0.5%
2.2%
10
Nature Communications
5641 papers in training set
Top 44%
1.8%
11
British Journal of Cancer
49 papers in training set
Top 0.8%
1.8%
12
Scientific Reports
3612 papers in training set
Top 61%
1.4%
13
Cancer Letters
35 papers in training set
Top 0.7%
1.2%
14
Acta Neuropathologica Communications
89 papers in training set
Top 2%
1.1%
15
Molecular Cancer Therapeutics
40 papers in training set
Top 0.8%
0.9%
16
Cell Death Discovery
58 papers in training set
Top 1%
0.9%
17
EMBO Molecular Medicine
95 papers in training set
Top 2%
0.9%
18
OncoImmunology
24 papers in training set
Top 0.6%
0.9%
19
Cancer Research Communications
51 papers in training set
Top 2%
0.9%
20
NAR Cancer
37 papers in training set
Top 0.6%
0.9%
21
Cells
249 papers in training set
Top 6%
0.9%
22
Cell Communication and Signaling
51 papers in training set
Top 2%
0.6%
23
Disease Models & Mechanisms
119 papers in training set
Top 3%
0.6%
24
Communications Biology
993 papers in training set
Top 33%
0.6%
25
Journal of Investigative Dermatology
49 papers in training set
Top 0.6%
0.6%
26
Molecular Cancer
16 papers in training set
Top 0.4%
0.6%
27
iScience
1154 papers in training set
Top 43%
0.5%
28
The Journal of Pathology
26 papers in training set
Top 1%
0.5%
29
Computational Biology and Chemistry
28 papers in training set
Top 1%
0.5%
30
Theranostics
37 papers in training set
Top 1%
0.5%