Back

Conditional c-MYC activation in catecholaminergic cells drives distinct neuroendocrine tumors: neuroblastoma vs somatostatinoma

YANG, J.; Wang, T.; Liu, L.; Fang, J.; Jin, H.; Natarajan, S.; Sheppard, H.; Lu, M.; Turner, G.; Confer, T.; Johnson, M.; Steinberg, J.; Ha, L.; Yadak, N.; Jain, R.; Picketts, D.; Ma, X.; Murphy, A.; Davidoff, A.; Glazer, E.; Easton, J.; Chen, X.; Wang, R.

2024-03-14 cancer biology
10.1101/2024.03.12.584622 bioRxiv
Show abstract

The MYC proto-oncogenes (c-MYC, MYCN, MYCL) are among the most deregulated oncogenic drivers in human malignancies including high-risk neuroblastoma, 50% of which are MYCN-amplified. Genetically engineered mouse models (GEMMs) based on the MYCN transgene have greatly expanded the understanding of neuroblastoma biology and are powerful tools for testing new therapies. However, a lack of c-MYC-driven GEMMs has hampered the ability to better understand mechanisms of neuroblastoma oncogenesis and therapy development given that c-MYC is also an important driver of many high-risk neuroblastomas. In this study, we report two transgenic murine neuroendocrine models driven by conditional c-MYC induction in tyrosine hydroxylase (Th) and dopamine {beta}-hydroxylase (Dbh)-expressing cells. c-MYC induction in Th-expressing cells leads to a preponderance of Pdx1+ somatostatinomas, a type of pancreatic neuroendocrine tumor (PNET), resembling human somatostatinoma with highly expressed gene signatures of {delta} cells and potassium channels. In contrast, c-MYC induction in Dbh-expressing cells leads to onset of neuroblastomas, showing a better transforming capacity than MYCN in a comparable C57BL/6 genetic background. The c-MYC murine neuroblastoma tumors recapitulate the pathologic and genetic features of human neuroblastoma, express GD2, and respond to anti-GD2 immunotherapy. This model also responds to DFMO, an FDA-approved inhibitor targeting ODC1, which is a known MYC transcriptional target. Thus, establishing c-MYC-overexpressing GEMMs resulted in different but related tumor types depending on the targeted cell and provide useful tools for testing immunotherapies and targeted therapies for these diseases.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
eLife
5828 papers in training set
Top 7%
12.0%
2
Neoplasia
23 papers in training set
Top 0.1%
7.9%
3
Journal for ImmunoTherapy of Cancer
75 papers in training set
Top 0.3%
7.9%
4
Scientific Reports
3612 papers in training set
Top 10%
6.8%
5
Neuro-Oncology
36 papers in training set
Top 0.2%
6.3%
6
Nature Communications
5641 papers in training set
Top 27%
5.5%
7
Cancers
213 papers in training set
Top 2%
3.5%
8
Cell Reports
1498 papers in training set
Top 15%
2.5%
50% of probability mass above
9
JCI Insight
277 papers in training set
Top 3%
2.4%
10
Communications Biology
993 papers in training set
Top 10%
2.1%
11
Neuro-Oncology Advances
25 papers in training set
Top 0.2%
2.1%
12
Frontiers in Oncology
103 papers in training set
Top 2%
1.9%
13
Clinical Cancer Research
64 papers in training set
Top 1%
1.7%
14
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.4%
15
Cancer Research Communications
51 papers in training set
Top 1%
1.4%
16
iScience
1154 papers in training set
Top 22%
1.3%
17
Science Advances
1243 papers in training set
Top 24%
1.1%
18
Cancer Research
130 papers in training set
Top 2%
1.1%
19
PLOS ONE
5266 papers in training set
Top 57%
1.0%
20
Oncotarget
18 papers in training set
Top 0.3%
1.0%
21
International Journal of Cancer
49 papers in training set
Top 1.0%
1.0%
22
The American Journal of Pathology
32 papers in training set
Top 0.7%
0.8%
23
Molecular Cancer Research
49 papers in training set
Top 1%
0.8%
24
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 41%
0.8%
25
OncoImmunology
24 papers in training set
Top 0.8%
0.6%
26
Theranostics
37 papers in training set
Top 1%
0.6%
27
Cancer Cell
42 papers in training set
Top 1%
0.6%
28
Molecular Therapy - Nucleic Acids
25 papers in training set
Top 0.8%
0.6%
29
Journal of Clinical Investigation
179 papers in training set
Top 6%
0.6%
30
Oncogene
85 papers in training set
Top 2%
0.6%