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Cancers
Special Issues
Diagnosis and Treatment of Gastroenteropancreatic Neuroendocrine Neoplasms (Volume II)
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Diagnosis and Treatment of Gastroenteropancreatic Neuroendocrine Neoplasms (Volume II)

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Causes, Screening and Diagnosis".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 1206

Special Issue Editor

Prof. Dr. Peter Stålberg

E-Mail Website
Guest Editor
Department of Surgery, Uppsala University Hospital, Uppsala University, Uppsala, Sweden
Interests: neuroendocrine tumors: diagnosis and treatment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This collection is the second edition of the previous one "Diagnosis and
Treatment of Gastroenteropancreatic Neuroendocrine Neoplasms"
(https://www.mdpi.com/journal/cancers/special_issues/Gastroenteropancreatic_Neuroendocrine_Neoplasms).

This Special Issue focuses on the diagnosis and treatment of gastroenteropancreatic tumors, with world-leading experts in the field providing readers with contemporary treatment and diagnosis algorithms, as well as a glimpse into novel and evolving treatments.

Gastrointestinal pancreatic neuroendocrine neoplasms (GEP-Nets) present many diagnostic and therapeutic challenges due to their relative rarity and complexity. Therefore, the latest findings on biomarkers, peptide receptor-based therapy, imaging therapy, etc., for the treatment of gastroenteropancreatic tumors are exciting. We would like to invite an array of scientific readers to contribute their research to this Special Issue of Cancers, dedicated to the generic topic of the diagnosis and treatment of gastroenteropancreatic tumors, such as gastric neuroendocrine tumors, pancreatic neuroendocrine tumors and small intestinal neuroendocrine tumors.

We would like to thank you in advance for your enthusiastic participation in this exciting Special Issue of Cancers.

Prof. Dr. Peter Stålberg
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

  • biomarkers
  • imaging
  • gastric NETs
  • pancreatic NETs
  • small intestinal NETs
  • receptor-based therapy

Published Papers (1 paper)

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Research

23 pages, 5152 KiB  
Article
Establishment and Thorough Characterization of Xenograft (PDX) Models Derived from Patients with Pancreatic Cancer for Molecular Analyses and Chemosensitivity Testing
by Diana Behrens, Ulrike Pfohl, Theresia Conrad, Michael Becker, Bernadette Brzezicha, Britta Büttner, Silvia Wagner, Cora Hallas, Rita Lawlor, Vladimir Khazak, Michael Linnebacher, Thomas Wartmann, Iduna Fichtner, Jens Hoffmann, Mathias Dahlmann and Wolfgang Walther
Cancers 2023, 15(24), 5753; https://doi.org/10.3390/cancers15245753 - 08 Dec 2023
Viewed by 1078
Abstract
Patient-derived xenograft (PDX) tumor models are essential for identifying new biomarkers, signaling pathways and novel targets, to better define key factors of therapy response and resistance mechanisms. Therefore, this study aimed at establishing pancreas carcinoma (PC) PDX models with thorough molecular characterization, and [...] Read more.
Patient-derived xenograft (PDX) tumor models are essential for identifying new biomarkers, signaling pathways and novel targets, to better define key factors of therapy response and resistance mechanisms. Therefore, this study aimed at establishing pancreas carcinoma (PC) PDX models with thorough molecular characterization, and the identification of signatures defining responsiveness toward drug treatment. In total, 45 PC-PDXs were generated from 120 patient tumor specimens and the identity of PDX and corresponding patient tumors was validated. The majority of engrafted PDX models represent ductal adenocarcinomas (PDAC). The PDX growth characteristics were assessed, with great variations in doubling times (4 to 32 days). The mutational analyses revealed an individual mutational profile of the PDXs, predominantly showing alterations in the genes encoding KRAS, TP53, FAT1, KMT2D, MUC4, RNF213, ATR, MUC16, GNAS, RANBP2 and CDKN2A. Sensitivity of PDX toward standard of care (SoC) drugs gemcitabine, 5-fluorouracil, oxaliplatin and abraxane, and combinations thereof, revealed PDX models with sensitivity and resistance toward these treatments. We performed correlation analyses of drug sensitivity of these PDX models and their molecular profile to identify signatures for response and resistance. This study strongly supports the importance and value of PDX models for improvement in therapies of PC. Full article
(This article belongs to the Special Issue Diagnosis and Treatment of Gastroenteropancreatic Neuroendocrine Neoplasms (Volume II))
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