Department of Gastric and Colorectal Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
Department of Clinical Epidemiology, The First Hospital of Jilin University, Changchun 130021, Jilin Province, China.
World J Gastroenterol. 2024 Nov 28;30(44):4689-4696. doi: 10.3748/wjg.v30.i44.4689.
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.
胰腺癌（PC）是一种致死率极高的肿瘤，其发病率和死亡率几乎相同，已成为第六大癌症相关死亡原因。缺氧是 PC 的一个重要恶性因素，它调节血管生成、代谢重编程、肿瘤进展和转移。破坏缺氧微环境可以提高抗肿瘤治疗的疗效，并改善 PC 患者的预后。随着生物信息学的出现，近年来出现了与缺氧相关的 PC 模型。它们为评估 PC 患者的预后和免疫微环境提供了参考，并确定了针对缺氧微环境的潜在生物标志物。然而，如果没有进一步的实验证据和临床队列验证，基于生物信息学分析的这些发现可能并不完全可靠。这些模型和生物标志物在预测 PC 患者生存时间和开发抗缺氧治疗策略方面在临床实践中的应用仍处于起步阶段。在这篇社论中，我们回顾了 PC 中与缺氧相关的预后模型的现状，分析了它们的异同，讨论了几个现有的挑战，并为进一步的研究提供了潜在的解决方案和方向。这篇社论将促进相关模型的优化、验证和分子机制的确定。
