Back

Myc and Kras cooperate in adult acinar cells to drive phenotypic heterogeneity, metastasis, and therapeutic resistance in a novel pancreatic cancer mouse model

English, I. A.; Worth, P. J.; MacPherson-Hawthorne, K. A.; Vergara, M.; Pelz, K.; Kiemen, A. L.; Shah, V. M.; Blise, K. E.; Pelz, C.; Tsuda, M.; Heskett, M. B.; Farrell, A. S.; Allen-Petersen, B. L.; Jimenez, P.; Joly, M. M.; Thoma, M. C.; Eng, J. R.; Daniel, C. J.; Wang, X.; Cunningham, M.; Salgado-Garza, G.; Phipps, J. L.; Betts, C.; Sivagnanam, S.; Morgan, T. K.; Wood, L. D.; Coussens, L. M.; Brody, J. R.; Langer, E. M.; Sears, R. C.

2025-07-18 cancer biology
10.1101/2025.07.14.664767 bioRxiv
Show abstract

Pancreatic ductal adenocarcinoma (PDAc) is a deadly malignancy, most commonly diagnosed in advanced stages when no curative treatments are available. The development of new models that aid ongoing investigation into the mechanisms by which it initiates, disseminates, and evades treatment is of the utmost importance. In vivo models that accurately recapitulate the features and spectrum of human pancreatic cancer are paramount to make a dent in this disease as two decades of the standard-of-care have failed to substantially improve survival. Here, we take advantage of our finding that post-translational stabiliziation of MYC downstream of the canonical PDAc driver, mutant KRAS, is an early event in PDAc progression to design a novel mouse model of PDAc progression based on deregulated, constituitive expression of Myc and mutant Kras in adult pancreatic acinar cells. Tumors from this KMC model histologically and molecularly recapitulate heterogeneity seen in human PDAc, with a high rate of metastasis to the liver. Cell lines derived from KMC autochthonous PDAc provide new models for orthotopic primary tumors that reliably metastasize to the liver and lung, providing important new tools to efficiently study the metastatic cascade and aid in the develoment of new therapeutics addressing metastatic disease. Cell lines represent distinct molecular subtypes with corresponding differential drug sensitivity. Toghether, this model provides a new and additional tool in the study of pancreatic cancer and the means by which it so deftly evades our best efforts at treatment.

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

1
Gastroenterology
40 papers in training set
Top 0.2%
8.6%
2
Oncogene
76 papers in training set
Top 0.3%
4.4%
3
Cancer Research
116 papers in training set
Top 0.5%
4.4%
4
eLife
5422 papers in training set
Top 22%
4.0%
5
Cancer Research Communications
46 papers in training set
Top 0.1%
4.0%
6
PLOS ONE
4510 papers in training set
Top 38%
3.7%
7
Scientific Reports
3102 papers in training set
Top 43%
2.8%
8
Frontiers in Oncology
95 papers in training set
Top 1%
2.8%
9
JCI Insight
241 papers in training set
Top 2%
2.8%
10
Cancer Letters
32 papers in training set
Top 0.1%
2.8%
11
Cell Reports
1338 papers in training set
Top 18%
2.6%
12
Molecular Cancer Therapeutics
33 papers in training set
Top 0.2%
2.4%
13
Gut
36 papers in training set
Top 0.4%
2.1%
14
BMC Cancer
52 papers in training set
Top 1.0%
2.1%
15
The Journal of Pathology
22 papers in training set
Top 0.1%
2.1%
50% of probability mass above
16
Translational Oncology
18 papers in training set
Top 0.1%
2.1%
17
Cancer Cell
38 papers in training set
Top 0.8%
1.9%
18
Disease Models & Mechanisms
119 papers in training set
Top 1%
1.7%
19
Oncogenesis
12 papers in training set
Top 0.1%
1.7%
20
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.7%
21
Molecular Cancer Research
42 papers in training set
Top 0.3%
1.7%
22
Neoplasia
22 papers in training set
Top 0.3%
1.5%
23
Journal of Biological Chemistry
641 papers in training set
Top 2%
1.5%
24
Cancers
200 papers in training set
Top 3%
1.4%
25
Molecular Cancer
14 papers in training set
Top 0.4%
1.4%
26
iScience
1063 papers in training set
Top 21%
1.2%
27
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.8%
1.2%
28
Cell Death & Disease
126 papers in training set
Top 2%
1.0%
29
Signal Transduction and Targeted Therapy
29 papers in training set
Top 1%
0.9%
30
Developmental Cell
168 papers in training set
Top 10%
0.9%