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Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC.

Publication ,  Journal Article
Liu, M; Seier, K; Gonen, M; Sigel, C; Jung, J; Blair, AB; Howell, TC; Reidy-Lagunes, D; Lidsky, ME; Allen, PJ; Blazer Iii, DG; Zani, S ...
Published in: J Transl Med
December 24, 2025

BACKGROUND: Pancreatic acinar cell carcinoma (ACC) is a rare primary neoplasm of acinar cell origin. Histologically, it can present as pure ACC or mixed with neuroendocrine or ductal differentiation. We studied whether ACC shared genomic similarities with pancreatic ductal adenocarcinoma (PDAC) or well-differentiated pancreatic neuroendocrine tumors (PNET) using the hidden genome classifier methodology. METHODS: The hidden genome classifier was trained using next-generation sequencing of KRAS wild-type (KRAS-WT) PDAC (n = 251), KRAS-mutated (KRAS-mut) PDAC (n = 1872) and PNET (n = 127). We applied the classifier to 62 primary and metastatic ACC samples from two institutions to identify the genomic class and its relationship to histologic differentiation and clinical outcomes. RESULTS: According to the classifier, KRAS mutations and tumor mutation burden contributed to the KRAS-mut PDAC class, while ATRX, VHL and SETD2 mutations contributed to the PNET class. Copy number alterations (CNA) in chromosomes 1q and 11q were key factors in the genomic classification of KRAS-WT PDAC. Most ACC (49/62) aligned genomically with KRAS-WT PDAC. Fifteen ACCs had mixed histology, and the majority of those (11/15) also classified as KRAS-WT PDAC. CNA were present in most ACC tumors, even those without mutations in DNA damage repair or chromatin modification pathways. The predicted genomic class was not associated with survival outcomes. CONCLUSIONS: The hidden genome classifier found most ACC shares genomic similarities with KRAS-WT PDAC, independent of ductal or neuroendocrine differentiation. This may reflect a common cell of origin in ACC tumorigenesis and explain the improved clinical outcome compared to KRAS-mut PDAC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-025-07381-7.

Duke Scholars

Published In

J Transl Med

DOI

EISSN

1479-5876

Publication Date

December 24, 2025

Volume

23

Issue

1

Start / End Page

1422

Location

England

Related Subject Headings

  • Immunology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences
 

Citation

APA
Chicago
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Liu, M., Seier, K., Gonen, M., Sigel, C., Jung, J., Blair, A. B., … Jarnagin, W. R. (2025). Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC. J Transl Med, 23(1), 1422. https://doi.org/10.1186/s12967-025-07381-7
Liu, Mengyuan, Kenneth Seier, Mithat Gonen, Carlie Sigel, Joslyn Jung, Alex B. Blair, Thomas C. Howell, et al. “Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC.J Transl Med 23, no. 1 (December 24, 2025): 1422. https://doi.org/10.1186/s12967-025-07381-7.
Liu M, Seier K, Gonen M, Sigel C, Jung J, Blair AB, et al. Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC. J Transl Med. 2025 Dec 24;23(1):1422.
Liu, Mengyuan, et al. “Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC.J Transl Med, vol. 23, no. 1, Dec. 2025, p. 1422. Pubmed, doi:10.1186/s12967-025-07381-7.
Liu M, Seier K, Gonen M, Sigel C, Jung J, Blair AB, Howell TC, Reidy-Lagunes D, Lidsky ME, Allen PJ, Blazer Iii DG, Zani S, Wei AC, Drebin JA, Balachandran V, D’Angelica M, Soares KC, Kingham TP, Jarnagin WR. Genome-based classification of pancreatic acinar cell carcinoma reveals similarities to KRAS wild-type PDAC. J Transl Med. 2025 Dec 24;23(1):1422.
Journal cover image

Published In

J Transl Med

DOI

EISSN

1479-5876

Publication Date

December 24, 2025

Volume

23

Issue

1

Start / End Page

1422

Location

England

Related Subject Headings

  • Immunology
  • 42 Health sciences
  • 32 Biomedical and clinical sciences
  • 11 Medical and Health Sciences