Molecular Pathology of Pancreatic Cancer

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Tumor Microenvironment".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4463

Special Issue Editor


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Guest Editor
Pancreatic Cancer Research Group, Insitute of Pathology, University of Bern, Murtenstrasse 31, CH-3008 Bern, Switzerland
Interests: pancreatic cancer; tumor microenvironment; immune landscape; molecular biomarkers

Special Issue Information

Dear Colleagues,

Pancreatic ductal adenocarcinoma (PDAC) is a lethal disease, with fewer than 10% of patients surviving beyond 5 years following diagnosis. Despite increasing knowledge regarding its genetic background, PDAC remains refractory to most currently available treatment modalities. Data from genome sequencing studies indicate that PDAC lacks highly actionable simple somatic mutations. Furthermore, there are currently no targeted therapies for the main driver mutations known to occur in PDAC, such as KRAS, TP53, CDKN2A, and SMAD4. However, as molecular profiling of cancers is becoming more and more frequent, even a small number of actionable alterations might turn out to be important. Recently, two to five molecular PDAC-subtypes have been identified, and transcriptional analyses have correlated molecular subtypes to microenvironmental and histomorphologic features.

At present, there is much interest in classifying pancreatic cancer according to its morphologic, genetic, and immunologic features to understand the significant heterogeneity of this tumor. Such information can contribute to the identification of highly needed novel prognostic and predictive biomarkers and can be used for accurate patient stratification and therapy guidance.

This Special Issue focuses on the molecular pathology of PDAC, including integrative molecular, morphologic, and immunophenotypic findings. This could yield valuable clues that may not only provide an insight into the different immunosuppressive mechanisms present in PDAC but also benefit the development of strategies for a more targeted approach to the use of immunotherapy and/or other combinatorial treatments for PDAC patients.

Prof. Dr. Eva Diamantis Karamitopoulou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cancers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • pancreatic cancer
  • molecular subtypes
  • molecular biomarkers
  • molecular alterations
  • transcriptomic analysis
  • genome profiling
  • mutations
  • methylation
  • therapy

Published Papers (2 papers)

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Editorial

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5 pages, 3534 KiB  
Editorial
Molecular Pathology of Pancreatic Cancer
by Eva Karamitopoulou
Cancers 2022, 14(6), 1523; https://0-doi-org.brum.beds.ac.uk/10.3390/cancers14061523 - 16 Mar 2022
Cited by 4 | Viewed by 2126
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a biologically aggressive malignancy showing a remarkable resistance to existing therapies and is often diagnosed at an advanced stage, leaving only about 15–20% of patients with an option for surgical resection [...] Full article
(This article belongs to the Special Issue Molecular Pathology of Pancreatic Cancer)
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Research

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17 pages, 2670 KiB  
Article
A Novel Immune-Related Gene Prognostic Index (IRGPI) in Pancreatic Adenocarcinoma (PAAD) and Its Implications in the Tumor Microenvironment
by Shujing Zhou, Attila Gábor Szöllősi, Xufeng Huang, Yi-Che Chang-Chien and András Hajdu
Cancers 2022, 14(22), 5652; https://0-doi-org.brum.beds.ac.uk/10.3390/cancers14225652 - 17 Nov 2022
Cited by 3 | Viewed by 1412
Abstract
Purpose: Pancreatic adenocarcinoma (PAAD) is one of the most lethal malignancies, with less than 10% of patients surviving more than 5 years. Existing biomarkers for reliable survival rate prediction need to be enhanced. As a result, the objective of this study was to [...] Read more.
Purpose: Pancreatic adenocarcinoma (PAAD) is one of the most lethal malignancies, with less than 10% of patients surviving more than 5 years. Existing biomarkers for reliable survival rate prediction need to be enhanced. As a result, the objective of this study was to create a novel immune-related gene prognostic index (IRGPI) for estimating overall survival (OS) and to analyze the molecular subtypes based on this index. Materials and procedures: RNA sequencing and clinical data were retrieved from publicly available sources and analyzed using several R software packages. A unique IRGPI and optimum risk model were developed using a machine learning algorithm. The prediction capability of our model was then compared to that of previously proposed models. A correlation study was also conducted between the immunological tumor microenvironment, risk groups, and IRGPI genes. Furthermore, we classified PAAD into different molecular subtypes based on the expression of IRGPI genes and investigated their features in tumor immunology using the K-means clustering technique. Results: A 12-gene IRGPI (FYN, MET, LRSAM1, PSPN, ERAP2, S100A1, IL20RB, MAP3K14, SEMA6C, PRKCG, CXCL11, and GH1) was established, and verified along with a risk model. OS prediction by our model outperformed previous gene signatures. According to the findings of our correlation studies, different risk groups and IRGPI genes were found to be tightly related to tumor microenvironments, and PAAD could be further subdivided into immunologically distinct molecular subtypes based on the expression of IRGPI genes. Conclusion: The current study constructed and verified a unique IRGPI. Furthermore, our findings revealed a connection between the IRGPI and the immunological microenvironment of tumors. PAAD was differentiated into several molecular subtypes that might react differently to immunotherapy. These findings could provide new insights for precision and translational medicine for more innovative immunotherapy strategies. Full article
(This article belongs to the Special Issue Molecular Pathology of Pancreatic Cancer)
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