Li DM, Cao XY, Jiang J. Hypoxia-related bioinformatic signatures associated with prognosis and tumor microenvironment of pancreatic cancer: Current status, concerns, and future perspectives. World J Gastroenterol 2024; 30(44): 4689-4696 [PMID: 39610772 DOI: 10.3748/wjg.v30.i44.4689]
Corresponding Author of This Article
Jing Jiang, MD, PhD, Professor, Department of Clinical Epidemiology, The First Hospital of Jilin University, No. 1 Xinmin Avenue, Chaoyang District, Changchun 130021, Jilin Province, China. jiangjing19702000@jlu.edu.cn
Research Domain of This Article
Oncology
Article-Type of This Article
Editorial
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Nov 28, 2024; 30(44): 4689-4696 Published online Nov 28, 2024. doi: 10.3748/wjg.v30.i44.4689
Hypoxia-related bioinformatic signatures associated with prognosis and tumor microenvironment of pancreatic cancer: Current status, concerns, and future perspectives
Dong-Ming Li, Xue-Yuan Cao, Jing Jiang
Dong-Ming Li, Xue-Yuan Cao, Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
Jing Jiang, Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China
Author contributions: Jiang J and Li DM designed the overall concept and outline of the manuscript; Cao XY contributed to the discussion and design of the manuscript; Li DM and Jiang J contributed to the writing and editing of the manuscript, illustrations, and review of the literature. All authors have read and approved the final manuscript.
Supported by National Natural Science Foundation of China, No. 82373664; and Scientific and Technological Development Program of Jilin Province, No. 20240402015GH.
Conflict-of-interest statement: The authors declare that they have no competing interests, and all authors confirm its accuracy.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Jing Jiang, MD, PhD, Professor, Department of Clinical Epidemiology, The First Hospital of Jilin University, No. 1 Xinmin Avenue, Chaoyang District, Changchun 130021, Jilin Province, China. jiangjing19702000@jlu.edu.cn
Received: September 18, 2024 Revised: October 25, 2024 Accepted: November 4, 2024 Published online: November 28, 2024 Processing time: 54 Days and 15.5 Hours
Abstract
Pancreatic cancer (PC), a highly lethal tumor with nearly identical incidence and mortality rates, has become the sixth leading cause of cancer-related deaths. Hypoxia is an important malignant factor in PC, as it regulates angiogenesis, metabolic reprogramming, tumor progression, and metastasis. Disrupting the hypoxic microenvironment can enhance the efficacy of antitumor therapy and improve the prognosis of patients with PC. With the advent of bioinformatics, hypoxia-related PC models have emerged in recent years. They provide a reference for estimating the prognosis and immune microenvironment of patients with PC and identify potential biomarkers for targeting hypoxic microenvironment. However, these findings based on bioinformatic analysis may not be completely reliable without further experimental evidence and clinical cohort validation. The application of these models and biomarkers in clinical practice to predict survival time and develop anti hypoxic therapeutic strategies for patients with PC remains in its infancy. In this editorial, we review the current status of hypoxia-related prognostic models in PC, analyze their similarities and differences, discuss several existing challenges, and provide potential solutions and directions for further studies. This editorial will facilitate the optimization, validation, and determination of the molecular mechanisms of related models.
Core Tip: Currently, hypoxia-related bioinformatic models for pancreatic cancer (PC) primarily evaluate their value for prognosis, tumor microenvironment, and antitumor drug screening. However, these studies did not identify a prognostic model with an optimal predictive performance for PC. Moreover, findings based on bioinformatic analyses may not be completely reliable; thus, more experimental evidence is required. With the integration of multiomics data, the emergence of deep learning, and the application of high-quality experimental programs, the limitations of these models can be overcome and further application in clinical practice may be recommended in the future.
