• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于泛凋亡的分子亚型和 HPAN 指数可预测肝细胞癌的治疗反应和生存。

PANoptosis-based molecular subtyping and HPAN-index predicts therapeutic response and survival in hepatocellular carcinoma.

机构信息

Department of Hepatobiliary Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.

Jiangsu Vocational College of Medicine, Yancheng, China.

出版信息

Front Immunol. 2023 Jun 15;14:1197152. doi: 10.3389/fimmu.2023.1197152. eCollection 2023.

DOI:10.3389/fimmu.2023.1197152
PMID:37398672
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10311484/
Abstract

BACKGROUND

Hepatocellular carcinoma (HCC) is a highly prevalent and fatal cancer. The role of PANoptosis, a novel form of programmed cell death, in HCC is yet to be fully understood. This study focuses on identifying and analyzing PANoptosis-associated differentially expressed genes in HCC (HPAN_DEGs), aiming to enhance our understanding of HCC pathogenesis and potential treatment strategies.

METHODS

We analyzed HCC differentially expressed genes from TCGA and IGCG databases and mapped them to the PANoptosis gene set, identifying 69 HPAN_DEGs. These genes underwent enrichment analyses, and consensus clustering analysis was used to determine three distinct HCC subgroups based on their expression profiles. The immune characteristics and mutation landscape of these subgroups were evaluated, and drug sensitivity was predicted using the HPAN-index and relevant databases.

RESULTS

The HPAN_DEGs were mainly enriched in pathways associated with the cell cycle, DNA damage, Drug metabolism, Cytokines, and Immune receptors. We identified three HCC subtypes (Cluster_1, SFN+PDK4-; Cluster_2, SFN-PDK4+; Cluster_3, SFN/PDK4 intermediate expression) based on the expression profiles of the 69 HPAN_DEGs. These subtypes exhibited distinct clinical outcomes, immune characteristics, and mutation landscapes. The HPAN-index, generated by machine learning using the expression levels of 69 HPAN_DEGs, was identified as an independent prognostic factor for HCC. Moreover, the high HPAN-index group exhibited a high response to immunotherapy, while the low HPAN-index group showed sensitivity to small molecule targeted drugs. Notably, we observed that the YWHAB gene plays a significant role in Sorafenib resistance.

CONCLUSION

This study identified 69 HPAN_DEGs crucial to tumor growth, immune infiltration, and drug resistance in HCC. Additionally, we discovered three distinct HCC subtypes and constructed an HPAN-index to predict immunotherapeutic response and drug sensitivity. Our findings underscore the role of YWHAB in Sorafenib resistance, presenting valuable insights for personalized therapeutic strategy development in HCC.

摘要

背景

肝细胞癌(HCC)是一种高发且致命的癌症。PANoptosis(一种新形式的程序性细胞死亡)在 HCC 中的作用尚未完全理解。本研究旨在识别和分析 HCC 中与 PANoptosis 相关的差异表达基因(HPAN_DEGs),以增强我们对 HCC 发病机制和潜在治疗策略的理解。

方法

我们分析了 TCGA 和 IGCG 数据库中的 HCC 差异表达基因,并将其映射到 PANoptosis 基因集,确定了 69 个 HPAN_DEGs。这些基因进行了富集分析,并基于其表达谱进行了共识聚类分析,确定了三个不同的 HCC 亚组。评估了这些亚组的免疫特征和突变景观,并使用 HPAN-index 和相关数据库预测了药物敏感性。

结果

HPAN_DEGs 主要富集在与细胞周期、DNA 损伤、药物代谢、细胞因子和免疫受体相关的途径中。我们根据 69 个 HPAN_DEGs 的表达谱确定了三个 HCC 亚型(Cluster_1,SFN+PDK4-;Cluster_2,SFN-PDK4+;Cluster_3,SFN/PDK4 中间表达)。这些亚型表现出不同的临床结局、免疫特征和突变景观。使用 69 个 HPAN_DEGs 的表达水平通过机器学习生成的 HPAN-index 被确定为 HCC 的独立预后因素。此外,高 HPAN-index 组对免疫治疗有较高的反应,而低 HPAN-index 组对小分子靶向药物敏感。值得注意的是,我们观察到 YWHAB 基因在 Sorafenib 耐药中起重要作用。

结论

本研究确定了 69 个对 HCC 肿瘤生长、免疫浸润和耐药性至关重要的 HPAN_DEGs。此外,我们发现了三个不同的 HCC 亚型,并构建了 HPAN-index 来预测免疫治疗反应和药物敏感性。我们的研究结果强调了 YWHAB 在 Sorafenib 耐药中的作用,为 HCC 的个体化治疗策略开发提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/4a7812df0727/fimmu-14-1197152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/c12806cdd8d7/fimmu-14-1197152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/b003edd71d59/fimmu-14-1197152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/364f8fccaaf9/fimmu-14-1197152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/ba37a714e804/fimmu-14-1197152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/334f7a17622a/fimmu-14-1197152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/5c27007a7876/fimmu-14-1197152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/66ddc0507da2/fimmu-14-1197152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/4a7812df0727/fimmu-14-1197152-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/c12806cdd8d7/fimmu-14-1197152-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/b003edd71d59/fimmu-14-1197152-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/364f8fccaaf9/fimmu-14-1197152-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/ba37a714e804/fimmu-14-1197152-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/334f7a17622a/fimmu-14-1197152-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/5c27007a7876/fimmu-14-1197152-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/66ddc0507da2/fimmu-14-1197152-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/101e/10311484/4a7812df0727/fimmu-14-1197152-g008.jpg

相似文献

1
PANoptosis-based molecular subtyping and HPAN-index predicts therapeutic response and survival in hepatocellular carcinoma.基于泛凋亡的分子亚型和 HPAN 指数可预测肝细胞癌的治疗反应和生存。
Front Immunol. 2023 Jun 15;14:1197152. doi: 10.3389/fimmu.2023.1197152. eCollection 2023.
2
Identification of molecular subtypes based on PANoptosis-related genes and construction of a signature for predicting the prognosis and response to immunotherapy response in hepatocellular carcinoma.基于 PANoptosis 相关基因的分子亚型鉴定及signature 的构建,用于预测肝细胞癌的预后和免疫治疗反应。
Front Immunol. 2023 Aug 18;14:1218661. doi: 10.3389/fimmu.2023.1218661. eCollection 2023.
3
Robust analysis of a novel PANoptosis-related prognostic gene signature model for hepatocellular carcinoma immune infiltration and therapeutic response.新型 PANoptosis 相关预后基因签名模型分析用于肝细胞癌免疫浸润和治疗反应。
Sci Rep. 2023 Sep 4;13(1):14519. doi: 10.1038/s41598-023-41670-9.
4
Identification of PANoptosis-related subtypes, construction of a prognosis signature, and tumor microenvironment landscape of hepatocellular carcinoma using bioinformatic analysis and experimental verification.基于生物信息学分析和实验验证的肝细胞癌 PANoptosis 相关亚型鉴定、预后特征构建和肿瘤微环境分析。
Front Immunol. 2024 Apr 29;15:1323199. doi: 10.3389/fimmu.2024.1323199. eCollection 2024.
5
Identification of the cuproptosis-related molecular subtypes and an immunotherapy prognostic model in hepatocellular carcinoma.鉴定肝细胞癌中与铜死亡相关的分子亚型和免疫治疗预后模型。
BMC Bioinformatics. 2022 Nov 16;23(1):485. doi: 10.1186/s12859-022-04997-0.
6
A novel PANoptosis-related long non-coding RNA index to predict prognosis, immune microenvironment and personalised treatment in hepatocellular carcinoma.一种新型与 PANoptosis 相关的长非编码 RNA 指标,用于预测肝细胞癌的预后、免疫微环境和个体化治疗。
Aging (Albany NY). 2024 Jan 26;16(3):2410-2437. doi: 10.18632/aging.205488.
7
Characteristic of molecular subtypes based on PANoptosis-related genes and experimental verification of hepatocellular carcinoma.基于 PANoptosis 相关基因的分子亚型特征及肝癌的实验验证。
Aging (Albany NY). 2023 May 12;15(10):4159-4181. doi: 10.18632/aging.204720.
8
Identification of PANoptosis-Based Prognostic Signature for Predicting Efficacy of Immunotherapy and Chemotherapy in Hepatocellular Carcinoma.基于 PANoptosis 的预后签名用于预测肝细胞癌免疫治疗和化疗疗效的鉴定。
Genet Res (Camb). 2023 Jun 5;2023:6879022. doi: 10.1155/2023/6879022. eCollection 2023.
9
Immunogenic landscape and risk score prediction based on unfolded protein response (UPR)-related molecular subtypes in hepatocellular carcinoma.基于未折叠蛋白反应(UPR)相关分子亚型的肝细胞癌免疫原性景观和风险评分预测。
Front Immunol. 2023 Jun 30;14:1202324. doi: 10.3389/fimmu.2023.1202324. eCollection 2023.
10
Construction of the panoptosis-related gene model and characterization of tumor microenvironment infiltration in hepatocellular carcinoma.构建泛凋亡相关基因模型并分析肝细胞癌肿瘤微环境浸润。
Oncol Res. 2023 Jun 27;31(4):569-590. doi: 10.32604/or.2023.028964. eCollection 2023.

引用本文的文献

1
Diagnostic PANoptosis-related genes in acute kidney injury: bioinformatics, machine learning, and validation.急性肾损伤中与全细胞程序性死亡相关的诊断基因:生物信息学、机器学习及验证
Ann Med. 2025 Dec;57(1):2553930. doi: 10.1080/07853890.2025.2553930. Epub 2025 Sep 2.
2
A potential strategy to rebuild the tumor immune microenvironment: PANoptosis.重建肿瘤免疫微环境的一种潜在策略:全凋亡。
Front Immunol. 2025 Aug 4;16:1626411. doi: 10.3389/fimmu.2025.1626411. eCollection 2025.
3
PANoptosis in cancer: bridging molecular mechanisms to therapeutic innovations.

本文引用的文献

1
Innate immune inflammatory cell death: PANoptosis and PANoptosomes in host defense and disease.先天免疫炎症细胞死亡:宿主防御和疾病中的 PANoptosis 和 PANoptosomes。
Eur J Immunol. 2023 Nov;53(11):e2250235. doi: 10.1002/eji.202250235. Epub 2023 Mar 3.
2
Interrelation between Programmed Cell Death and Immunogenic Cell Death: Take Antitumor Nanodrug as an Example.程序性细胞死亡与免疫原性细胞死亡之间的相互关系:以抗肿瘤纳米药物为例。
Small Methods. 2023 May;7(5):e2201406. doi: 10.1002/smtd.202201406. Epub 2023 Jan 27.
3
Persistent mutation burden drives sustained anti-tumor immune responses.
癌症中的全程序死亡:将分子机制与治疗创新相联系
Cell Mol Immunol. 2025 Jul 28. doi: 10.1038/s41423-025-01329-z.
4
Molecular Subtyping of Hepatocellular Carcinoma via Lysosome-Related Genes for Prognosis and Therapy Prediction.通过溶酶体相关基因对肝细胞癌进行分子分型以预测预后和指导治疗
Int J Gen Med. 2025 Jul 16;18:3933-3950. doi: 10.2147/IJGM.S490019. eCollection 2025.
5
Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.鉴定并实验验证BMX作为脊髓损伤免疫反应中关键的泛凋亡相关基因
PLoS One. 2025 Jul 15;20(7):e0328002. doi: 10.1371/journal.pone.0328002. eCollection 2025.
6
Novel diagnostic and therapeutic strategies based on PANoptosis for hepatocellular carcinoma.基于PAN细胞焦亡的肝细胞癌新型诊断和治疗策略
Cancer Biol Med. 2025 Jul 8;22(8). doi: 10.20892/j.issn.2095-3941.2025.0150.
7
Construction of a PANoptosis-Related Gene Signature for Diabetic Nephropathy.糖尿病肾病全凋亡相关基因特征的构建
Kidney Blood Press Res. 2025;50(1):496-512. doi: 10.1159/000546764. Epub 2025 Jun 12.
8
The molecular mechanisms, roles, and potential applications of PANoptosis in cancer treatment.PAN细胞焦亡在癌症治疗中的分子机制、作用及潜在应用
Front Immunol. 2025 Apr 29;16:1550800. doi: 10.3389/fimmu.2025.1550800. eCollection 2025.
9
Revealing roles of PANoptosis-related genes in prognosis and molecular subtypes in lung squamous cell carcinoma by integrated bioinformatic analyses and experiments.通过综合生物信息学分析和实验揭示PAN细胞焦亡相关基因在肺鳞状细胞癌预后和分子亚型中的作用
Clin Exp Med. 2025 May 12;25(1):154. doi: 10.1007/s10238-025-01696-x.
10
Screening of pivotal oncogenes modulated by DNA methylation in hepatocellular carcinoma and identification of atractylenolide I as an anti-cancer drug.肝细胞癌中DNA甲基化调控的关键癌基因筛选及白术内酯I作为抗癌药物的鉴定
Hum Cell. 2025 May 5;38(4):97. doi: 10.1007/s13577-025-01224-9.
持续的突变负担可驱动持续的抗肿瘤免疫反应。
Nat Med. 2023 Feb;29(2):440-449. doi: 10.1038/s41591-022-02163-w. Epub 2023 Jan 26.
4
Bispecific PD1-IL2v and anti-PD-L1 break tumor immunity resistance by enhancing stem-like tumor-reactive CD8 T cells and reprogramming macrophages.双特异性PD1-IL2v和抗PD-L1通过增强干细胞样肿瘤反应性CD8 T细胞和重编程巨噬细胞来打破肿瘤免疫抗性。
Immunity. 2023 Jan 10;56(1):162-179.e6. doi: 10.1016/j.immuni.2022.12.006.
5
Expression dynamics of periodic transcripts during cancer cell cycle progression and their correlation with anticancer drug sensitivity.周期性转录本在癌细胞周期进展中的表达动态及其与抗癌药物敏感性的相关性。
Mil Med Res. 2022 Dec 19;9(1):71. doi: 10.1186/s40779-022-00432-w.
6
IL-5-producing CD4 T cells and eosinophils cooperate to enhance response to immune checkpoint blockade in breast cancer.产生 IL-5 的 CD4 T 细胞和嗜酸性粒细胞共同作用,增强乳腺癌对免疫检查点阻断的反应。
Cancer Cell. 2023 Jan 9;41(1):106-123.e10. doi: 10.1016/j.ccell.2022.11.014. Epub 2022 Dec 15.
7
Leveraging diverse cell-death patterns to predict the prognosis and drug sensitivity of triple-negative breast cancer patients after surgery.利用多种细胞死亡模式预测手术后三阴性乳腺癌患者的预后和药物敏感性。
Int J Surg. 2022 Nov;107:106936. doi: 10.1016/j.ijsu.2022.106936. Epub 2022 Sep 20.
8
MCM2 promotes the stemness and sorafenib resistance of hepatocellular carcinoma cells via hippo signaling.MCM2通过Hippo信号通路促进肝癌细胞的干性和索拉非尼耐药性。
Cell Death Discov. 2022 Oct 15;8(1):418. doi: 10.1038/s41420-022-01201-3.
9
Single cell analysis of PANoptosome cell death complexes through an expansion microscopy method.通过一种扩展显微镜方法对 PANoptosome 细胞死亡复合物进行单细胞分析。
Cell Mol Life Sci. 2022 Sep 28;79(10):531. doi: 10.1007/s00018-022-04564-z.
10
A biochemical timer phases condensates in and out in cells.一种生物化学定时器在细胞中使凝聚物定时出现和消失。
Nature. 2022 Sep;609(7927):469-470. doi: 10.1038/d41586-022-01794-w.