Identification and validation of a hypoxia- and immune-related prognostic signature for pancreatic cancer.

IF 2.2 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemistry and Biophysics Reports Pub Date : 2025-08-11 eCollection Date: 2025-09-01 DOI:10.1016/j.bbrep.2025.102205

Ganghua Yang, Jiawei Yu, Xuqi Li, Fandi Meng, Yong Wan, Zhengyang Lu, Zheng Wang, Qinhong Xu

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引用次数: 0

Abstract

Pancreatic cancer is a lethal disease with a poor prognosis. Immunity and hypoxia are critical characteristics of the tumor microenvironment and are closely associated with cancer prognosis. The present study aimed to identify a novel hypoxia- and immune-related gene signature for the prediction of prognosis in patients with pancreatic cancer. The status of hypoxia or immunity was determined via the NMF method by using data from the TCGA database. A total of 27 hypoxia- or immune-related DEGs were identified. A 6-gene hypoxia- and immune-related prognostic signature (GALR2, AGT, MAPT, PRKCG, CAMK2B and PKP1) was further identified via LASSO regression. Survival analysis revealed that the overall survival of patients with pancreatic cancer was inversely associated with the prognostic signature. A ROC curve indicated the excellent performance of the prognostic signature, with an AUC of 0.713. A similar prognostic value of the prognostic signature was further confirmed in 2 independent GEO cohorts. In addition, a nomogram was constructed with the prognostic signature and clinical factors, including sex, age and histological grade, and the performance of the nomogram was assessed via calibration plots and decision curve analysis. Thus, our study identified a hypoxia- and immune-related prognostic signature and established a nomogram, which may be helpful for survival prediction in patients with pancreatic cancer.

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胰腺癌缺氧和免疫相关预后特征的鉴定和验证。

胰腺癌是一种预后不良的致命疾病。免疫和缺氧是肿瘤微环境的重要特征，与肿瘤预后密切相关。本研究旨在鉴定一种新的缺氧和免疫相关基因标记，用于预测胰腺癌患者的预后。使用TCGA数据库的数据，通过NMF方法确定缺氧或免疫状态。共鉴定出27个缺氧或免疫相关的deg。通过LASSO回归进一步确定了缺氧和免疫相关的6个基因预后标志（GALR2， AGT， MAPT， PRKCG， CAMK2B和PKP1）。生存分析显示胰腺癌患者的总生存与预后特征呈负相关。ROC曲线显示预后特征表现良好，AUC为0.713。在2个独立的GEO队列中进一步证实了预后特征的类似预后价值。此外，我们构建了包含预后特征和临床因素（包括性别、年龄和组织学分级）的nomogram，并通过校准图和决策曲线分析来评估nomogram的性能。因此，我们的研究确定了缺氧和免疫相关的预后特征，并建立了一个nomogram，这可能有助于胰腺癌患者的生存预测。

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

Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics

CiteScore

4.60

自引率

0.00%

发文量

191

审稿时长

59 days

期刊介绍： Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.