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. 2023 Oct 10;3(10):2062-2073.
doi: 10.1158/2767-9764.CRC-22-0419.

Integrated Molecular Characterization of Intraductal Papillary Mucinous Neoplasms: An NCI Cancer Moonshot Precancer Atlas Pilot Project

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Integrated Molecular Characterization of Intraductal Papillary Mucinous Neoplasms: An NCI Cancer Moonshot Precancer Atlas Pilot Project

Alexander Semaan et al. Cancer Res Commun. .

Abstract

Intraductal papillary mucinous neoplasms (IPMN) are cystic precursor lesions to pancreatic ductal adenocarcinoma (PDAC). IPMNs undergo multistep progression from low-grade (LG) to high-grade (HG) dysplasia, culminating in invasive neoplasia. While patterns of IPMN progression have been analyzed using multiregion sequencing for somatic mutations, there is no integrated assessment of molecular events, including copy-number alterations (CNA) and transcriptional changes that accompany IPMN progression. We performed laser capture microdissection on surgically resected IPMNs of varying grades of histologic dysplasia obtained from 23 patients, followed by whole-exome and whole-transcriptome sequencing. Overall, HG IPMNs displayed a significantly greater aneuploidy score than LG lesions, with chromosome 1q amplification being associated with HG progression and with cases that harbored co-occurring PDAC. Furthermore, the combined assessment of single-nucleotide variants (SNV) and CNAs identified both linear and branched evolutionary trajectories, underscoring the heterogeneity in the progression of LG lesions to HG and PDAC. At the transcriptome level, upregulation of MYC-regulated targets and downregulation of transcripts associated with the MHC class I antigen presentation machinery as well as pathways related to glycosylation were a common feature of progression to HG. In addition, the established PDAC transcriptional subtypes (basal-like and classical) were readily apparent within IPMNs. Taken together, this work emphasizes the role of 1q copy-number amplification as a putative biomarker of high-risk IPMNs, underscores the importance of immune evasion even in noninvasive precursor lesions, and reinforces that evolutionary pathways in IPMNs are heterogenous, comprised of both SNV and CNA-driven events.

Significance: Integrated molecular analysis of genomic and transcriptomic alterations in the multistep progression of IPMNs, which are bona fide precursors of pancreatic cancer, identifies features associated with progression of low-risk lesions to high-risk lesions and cancer, which might enable patient stratification and cancer interception strategies.

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Figures

FIGURE 1
FIGURE 1
Genomic landscapes of IPMN lesions. A, SNVs identified in KRAS and GNAS in LG and HG IPMNs. Dark purple: somatic mutations detected for KRAS and GNAS. Light purple: mutations detected by retesting. B, SNVs and CNAs identified in ND, LG, HG, and PDAC regions and classified by relevant PDAC-related pathways. For A and B, samples were arranged by histological type and labeled at the top of each heat map.
FIGURE 2
FIGURE 2
Comparison of CNAs between LG and HG IPMNs. A, AS between LG and HG by paired analysis, green lines show an increase of AS upon progression while red lines a decrease. Validation (B) and quantification (C) of chromosome 1q amplification by FISH (ND: black colored bars, LG: blue colored bars, HG: red colored bars, gray reference 1p results). D, NES results for pathways upregulated and downregulated in HG versus LG (FDR < 0.01, P = 0), red and blue color highlights important pathway in PDAC. E, Expression of PDAC molecular subtypes in precancer cystic lesions per patient; 2–5 replicates (single colored box) were sequenced per region with each row representing classification by Moffit (top), Collisson (middle), and Bailey (bottom) and organized as it is shown in the inset.
FIGURE 3
FIGURE 3
Inferred evolutionary trajectory derived from CNAs. Cases showing linear (A) and branched (B) evolution are depicted. For each case, evolutionary tree and segmentation plots are shown with HapLOHseq calls represented in lavender background. Branches are drawn to scale based on the number of CNA events. Chromosomal aberrations associated to the branch with the largest HG clone are shown. Red indicates gains and blue losses. Patient IDs highlighted in red indicate cases with coexisting PDAC. SNVs associated with each branch are labeled. Red arrow labels the branch with larger HG clone.

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