Interleukin-6 Is a Crucial Factor in Shaping the Inflammatory Tumor Microenvironment in Ovarian Cancer and Determining Its Hot or Cold Nature with Diagnostic and Prognostic Utilities.

IF 4.5 2区 医学 Q1 ONCOLOGY
Cancers Pub Date : 2025-05-17 DOI:10.3390/cancers17101691
Hina Amer, Katie L Flanagan, Nirmala C Kampan, Catherine Itsiopoulos, Clare L Scott, Apriliana E R Kartikasari, Magdalena Plebanski
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引用次数: 0

Abstract

Ovarian cancer (OC) remains the leading cause of cancer-related deaths among women, often diagnosed at advanced stages due to the lack of effective early diagnostic procedures. To reduce the high mortality rates in OC, reliable biomarkers are urgently needed, especially to detect OC at its earliest stage, predict specific drug responses, and monitor patients. The cytokine interleukin-6 (IL6) is associated with low survival rates, treatment resistance, and recurrence. In this review, we summarize the role of IL6 in inflammation and how IL6 contributes to ovarian tumorigenesis within the tumor microenvironment, influencing whether the tumor is subsequently classified as "hot" or "cold". We further dissect the molecular and cellular mechanisms through which IL6 production and downstream signaling are regulated, to enhance our understanding of its involvement in OC development, as well as OC resistance to treatment. We highlight the potential of IL6 to be used as a reliable diagnostic biomarker to help detect OC at its earliest stage, and as a part of predictive and prognostic signatures to improve OC management. We further discuss ways to leverage artificial intelligence and machine learning to integrate IL6 into diverse biomarker-based strategies.

白细胞介素-6是塑造卵巢癌炎症性肿瘤微环境和决定其冷热性质的关键因素,具有诊断和预后效用。
卵巢癌(OC)仍然是妇女癌症相关死亡的主要原因,由于缺乏有效的早期诊断程序,往往在晚期才被诊断出来。为了降低OC的高死亡率,迫切需要可靠的生物标志物,特别是在早期发现OC,预测特定药物反应和监测患者。细胞因子白细胞介素-6 (IL6)与低生存率、治疗耐药性和复发有关。在这篇综述中,我们总结了il - 6在炎症中的作用,以及il - 6如何在肿瘤微环境中促进卵巢肿瘤的发生,影响肿瘤随后的“热”或“冷”分类。我们进一步剖析了IL6的产生和下游信号被调控的分子和细胞机制,以加深我们对其参与OC发展以及OC对治疗的抗性的理解。我们强调了IL6作为一种可靠的诊断性生物标志物的潜力,可以帮助在早期发现OC,并作为预测和预后特征的一部分,以改善OC的管理。我们进一步讨论了利用人工智能和机器学习将IL6整合到各种基于生物标志物的策略中的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cancers
Cancers Medicine-Oncology
CiteScore
8.00
自引率
9.60%
发文量
5371
审稿时长
18.07 days
期刊介绍: Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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