Gastroesophageal Cancer: Advances in Clinical Diagnosis and Management

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Oncology".

Deadline for manuscript submissions: 30 April 2025 | Viewed by 1339

Special Issue Editors


E-Mail
Guest Editor
First Propedeutic Department of Surgery, National and Kapodistrian University of Athens, Hippocration General Hospital, 11527 Athens, Greece
Interests: esophageal cancer; gastric cancer; personalized medicine; surgery
Special Issues, Collections and Topics in MDPI journals

E-Mail
Guest Editor
First Propaedeutic Department of Surgery, Hippocration General Hospital, School of Medicine, National and Kapodistrian University of Athens, 11527 Athens, Greece
Interests: gastrointestinal cancer; gastric cancer surgery; esophageal cancer surgery; pancreatic cancer surgery; oncology; nutrition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Gastroesophageal junction cancer is the eighth most common malignancy and the sixth most common cause of death secondary to cancer. Even though prognosis still largely depends on disease progression, recent breakthroughs have significantly improved associated outcomes. This Special Issue will focus on the advances of the diagnostics, endoscopic resections, perioperative therapies and minimally invasive and robotic techniques in the treatment of gastroesophageal malignancy. Esophagectomy presents high morbidity and mortality rates; however, a multimodal approach in the management of postoperative complications seems to offer good results, whereas minimally invasive approaches tend to improve part of the complications. The role of chemotherapy, chemoradiotherapy and immunotherapy in the curative and palliative setting of esophageal cancer will be discussed, whereas the therapeutic approach of the oligometastatic disease shall be presented.

Dr. Tania Triantafyllou
Dr. Maximos Frountzas
Guest Editors

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. Journal of Clinical Medicine 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 2600 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

  • gastroesophageal cancer
  • endoscopic therapy
  • minimally invasive surgery
  • multimodality treatment
  • immunotherapy

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

21 pages, 8861 KiB  
Article
Oligometastatic Mixed Neuroendocrine Adenocarcinoma of the Esophago-Gastric Junction: A Case of Successful Multidisciplinary Management, the Lessons Learnt and Review of the Literature
by Anastasia Sotiropoulou, Maria Avgoustidou, Vassilis Milionis, Ioannis Papadimitriou, Chrysovalantis Vergadis, Dimitrios Schizas, Nikolaos Arkadopoulos and Orestis Lyros
J. Clin. Med. 2025, 14(5), 1503; https://doi.org/10.3390/jcm14051503 - 24 Feb 2025
Viewed by 385
Abstract
Background: Mixed neuroendocrine–non-neuroendocrine neoplasms (MiNENs) of the esophago-gastric junction (EGJ) are rare aggressive malignant neoplasms, with, currently, limited evidence regarding the appropriate therapeutic approach. Methods: Herein, we report multimodal treatment management of a patient with oligometastatic MiNEN of EGJ (Siewert III), discuss the [...] Read more.
Background: Mixed neuroendocrine–non-neuroendocrine neoplasms (MiNENs) of the esophago-gastric junction (EGJ) are rare aggressive malignant neoplasms, with, currently, limited evidence regarding the appropriate therapeutic approach. Methods: Herein, we report multimodal treatment management of a patient with oligometastatic MiNEN of EGJ (Siewert III), discuss the lessons learnt, and provide a review of the literature. Results: A 69-year-old female was diagnosed with a locally advanced EGJ tumor and three liver metastases (cT4, cN+, M1). Although the initial histology from biopsy revealed adenocarcinoma, the histopathology of a lymph node biopsy from staging laparoscopy revealed infiltration of neuroendocrine carcinoma cells. Thus, the diagnosis of a mixed neuroendocrine adenocarcinoma was set, and systemic chemotherapy with etoposide and cisplatin was initiated. A major clinical response led to conversion surgical resection of the primary tumor and metastases, followed by adjuvant therapy with immunotherapy. The patient is free of disease at the 3-year follow-up. A review of the literature on similar cases of EGJ or gastric MiNENs revealed a limited number of cases. Out of the 39 patients, 20 of them (51.3%) suffered from advanced-stage disease. The MiNEN diagnosis typically occurred after surgical resection. Systemic chemotherapy against the neuroendocrine component demonstrated significant response rates, while in cases in which conversion surgery was offered, prolongation of survival was demonstrated. Conclusions: Our case and the existing literature on MiNENs of EGJ underline the need for a personalized treatment approach following thorough interpretation of comprehensive pretherapeutic staging. Conversion radical surgery with curative intent could be considered in cases of major or complete clinical response to induction chemotherapy with potentially favorable outcomes. Full article
Show Figures

Figure 1

Review

Jump to: Research

20 pages, 453 KiB  
Review
Current Role of Artificial Intelligence in the Management of Esophageal Cancer
by Evgenia Mela, Dimitrios Tsapralis, Dimitrios Papaconstantinou, Panagiotis Sakarellos, Chrysovalantis Vergadis, Michail E. Klontzas, Ioannis Rouvelas, Antonios Tzortzakakis and Dimitrios Schizas
J. Clin. Med. 2025, 14(6), 1845; https://doi.org/10.3390/jcm14061845 - 9 Mar 2025
Viewed by 745
Abstract
Background/Objectives: Esophageal cancer (EC) represents a major global contributor to cancer-related mortality. The advent of artificial intelligence (AI), including machine learning, deep learning, and radiomics, holds promise for enhancing treatment decisions and predicting outcomes. The aim of this review is to present [...] Read more.
Background/Objectives: Esophageal cancer (EC) represents a major global contributor to cancer-related mortality. The advent of artificial intelligence (AI), including machine learning, deep learning, and radiomics, holds promise for enhancing treatment decisions and predicting outcomes. The aim of this review is to present an overview of the current landscape and future perspectives of AI in the management of EC. Methods: A literature search was performed on MEDLINE using the following keywords: “Artificial Intelligence”, “Esophageal cancer”, “Barrett’s esophagus”, “Esophageal Adenocarcinoma”, and “Esophageal Squamous cell carcinoma”. All titles and abstracts were screened; the results included 41 studies. Results: Over the past five years, the number of studies focusing on the application of AI to the treatment and prognosis of EC has surged, leveraging increasingly larger datasets with external validation. The simultaneous incorporation in AI models of clinical factors and features from several imaging modalities displays improved predictive performance, which may enhance patient outcomes, based on direct personalized therapeutic options. However, clinicians and researchers must address existing limitations, conduct randomized controlled trials, and consider the ethical and legal aspects that arise to establish AI as a standard decision-support tool. Conclusions: AI applications may result in substantial advances in EC management, heralding a new era. Considering the complexity of EC as a clinical entity, the evolving potential of AI is anticipated to ameliorate patients’ quality of life and survival rates. Full article
Show Figures

Figure 1

Back to TopTop