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Multicomponent Analysis of the Pancreatic Adenocarcinoma Progression Model Using a Pancreatic Intraepithelial Neoplasia Tissue Microarray
Open accessAbstract
A multistep model for pancreatic adenocarcinoma has been proposed recently. In this model, well-defined, noninvasive ductal lesions are recognized as precursors of invasive cancer and have been classified under the nomenclature of pancreatic intraepithelial neoplasia, or PanIN. Increasing evidence suggests that PanINs represent true neoplasms of the pancreatic ductal epithelium, accumulating histologic and genetic abnormalities in their progression toward invasive cancer. We have constructed a tissue microarray containing 55 PanIN lesions of all histologic grades in order to perform a multicomponent analysis of the pancreatic adenocarcinoma progression model. The protein products of 14 genes encompassing a variety of functional classes, such as tumor suppressor genes (p53, Smad4/Dpc4), oncogenes (beta-catenin), cell cycle antigens (p16, cyclin D1), proliferation antigens (Ki-67, topoisomerase II alpha), and epithelial apomucins (MUC1, MUC2, MUC5), as well as "novel" genes described as differentially up-regulated in invasive pancreas cancer by global microarray expression analysis (mesothelin, prostate stem cell antigen, fascin, and 14-3-3varsigma), were analyzed by immunohistochemistry on the PanIN tissue microarray. Comparison of the results from the current study with previously published data performed on routine histologic sections of PanINs demonstrates that tissue microarrays are a valid platform for molecular analysis not only of invasive cancers but of precursor lesions as well. In addition, this study demonstrates that molecular abnormalities in PanINs are not random but can usually be stratified into "early" changes (e.g., expression of MUC5 and prostate stem antigen, or loss of p16), "intermediate" changes (e.g., expression of cyclin D1), and "late" changes (e.g., expression of p53, proliferation antigens, MUC1, mesothelin, and 14-3-3varsigma, or loss of Smad4/Dpc4). Understanding the molecular pathogenesis of precursor lesions of invasive pancreatic adenocarcinomas using a high-throughput tissue microarray-based approach is a valuable adjunct to designing rational strategies for early detection of this lethal neoplasm.
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“Early molecular profiling coupled with histology allowed for the development of a putative pathological progression model; analogous to the adenoma-carcinoma model in the colon23”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [23]
In the citing paper
“The temporal appearance of these alterations during multistep progression suggests that TP53 and SMAD4 typically occur late, usually in the setting of high-grade lesions or cancer in both PanINs and IPMNs23,51.”
From Pancreatic cancer: Advances and challenges (2023) · cites this paper as [23]
In the citing paper
“For example, approximately 40% of pancreatic ductal adenocarcinomas have mutated TP53 and deleted ARF (Heinmoller, et al., 2000; Hustinx, et al., 2005; Maitra, et al., 2003).”
From The Mdm network and its regulation of p53 activities: a rheostat of cancer risk (2014) · cites this paper as Maitra, et al., 2003
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Metadata
- Authors
- Maitra, A., Adsay, N. V., Argani, P., Iacobuzio-Donahue, C., De Marzo, A., Cameron, J. L., Yeo, C. J., & Hruban, R. H.
- Affiliations
- Johns Hopkins University (US)
- Corresponding author
- Maitra, Anirban
- Venue
- Modern Pathology
- Publisher
- Elsevier BV
- Published
- 2003-09
- Volume
- 16
- Issue
- 9
- Pages
- 902-912
- ISSN
- 0893-3952 (ISSN-L)
- OpenAlex
- W1980447806
- Cited by
- 429
- References
- 95
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 13 · 2023: 18 · 2022: 11 · 2021: 16 · 2020: 11 · 2019: 14 · 2018: 24 · 2017: 16 · 2016: 13 · 2015: 16 · 2014: 22 · 2013: 19 · 2012: 24
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Modern Pathology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Cancer Institute (P50CA-62924, P50CA062924)
- Topics
- Health Sciences › Medicine › Oncology › Pancreatic and Hepatic Oncology Research
- Health Sciences › Medicine › Surgery › Cholangiocarcinoma and Gallbladder Cancer Studies
- Health Sciences › Medicine › Oncology › Neuroendocrine Tumor Research Advances
- Keywords
- pancreatic ductal adenocarcinoma, pancreatic intraepithelial neoplasia, tumor progression, precursor lesions, tissue microarray, molecular pathogenesis, p53, β-catenin, p16, cyclin D1, Ki-67, TOP2A, MUC1, MUC2, mesothelin, prostate stem cell antigen, fascin, 14-3-3 sigma, early detection
- MeSH terms
- Adenocarcinoma, Carcinoma in Situ, DNA, Neoplasm, Humans, Immunohistochemistry, Pancreatic Neoplasms, Precancerous Conditions, Biomarkers, Tumor, Disease Progression
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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