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Current Pathology Model of Pancreatic Cancer

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2022 May 14
PMID 35565450
Authors
Affiliations
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Abstract

Pancreatic cancer (PC) is one of the most aggressive and lethal malignant neoplasms, ranking in seventh place in the world in terms of the incidence of death, with overall 5-year survival rates still below 10%. The knowledge about PC pathomechanisms is rapidly expanding. Daily reports reveal new aspects of tumor biology, including its molecular and morphological heterogeneity, explain complicated "cross-talk" that happens between the cancer cells and tumor stroma, or the nature of the PC-associated neural remodeling (PANR). Staying up-to-date is hard and crucial at the same time. In this review, we are focusing on a comprehensive summary of PC aspects that are important in pathologic reporting, impact patients' outcomes, and bring meaningful information for clinicians. Finally, we show promising new trends in diagnostic technologies that might bring a difference in PC early diagnosis.

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References
1.
Olivares O, Mayers J, Gouirand V, Torrence M, Gicquel T, Borge L . Collagen-derived proline promotes pancreatic ductal adenocarcinoma cell survival under nutrient limited conditions. Nat Commun. 2017; 8:16031. PMC: 5504351. DOI: 10.1038/ncomms16031. View

2.
Ji Z, Mei F, Johnson B, Thompson E, Cheng X . Protein kinase A, not Epac, suppresses hedgehog activity and regulates glucocorticoid sensitivity in acute lymphoblastic leukemia cells. J Biol Chem. 2007; 282(52):37370-7. DOI: 10.1074/jbc.M703697200. View

3.
Arina A, Idel C, Hyjek E, Alegre M, Wang Y, Bindokas V . Tumor-associated fibroblasts predominantly come from local and not circulating precursors. Proc Natl Acad Sci U S A. 2016; 113(27):7551-6. PMC: 4941507. DOI: 10.1073/pnas.1600363113. View

4.
Birnbaum D, Finetti P, Birnbaum D, Mamessier E, Bertucci F . Validation and comparison of the molecular classifications of pancreatic carcinomas. Mol Cancer. 2017; 16(1):168. PMC: 5674743. DOI: 10.1186/s12943-017-0739-z. View

5.
Gall T, Belete S, Khanderia E, Frampton A, Jiao L . Circulating Tumor Cells and Cell-Free DNA in Pancreatic Ductal Adenocarcinoma. Am J Pathol. 2018; 189(1):71-81. DOI: 10.1016/j.ajpath.2018.03.020. View