• 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

APOBEC 介导的突变是膀胱癌患者预后和免疫治疗的有利预测指标:来自泛癌症分析和多个数据库的证据。

APOBEC-mediated mutagenesis is a favorable predictor of prognosis and immunotherapy for bladder cancer patients: evidence from pan-cancer analysis and multiple databases.

机构信息

Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Department of Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

出版信息

Theranostics. 2022 May 16;12(9):4181-4199. doi: 10.7150/thno.73235. eCollection 2022.

DOI:10.7150/thno.73235
PMID:35673559
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9169361/
Abstract

The APOBEC (apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like) family-mediated mutagenesis is widespread in human cancers. However, our knowledge of the biological feature and clinical relevance of APOBECs and APOBEC mutagenesis in cancers remains limited. In this study, with a series of bioinformatic and statistical approaches, we performed a comprehensive analysis of multiple levels of data, including whole-exome sequencing (WES) and targeted next-generation sequencing (NGS), transcriptome (bulk RNA-seq and single-cell RNA-seq), immune signatures and immune checkpoint blockade (ICB) potential, patient survival and drug sensitivity, to reveal the distribution characteristics and clinical significance of APOBECs and APOBEC mutagenesis in pan-cancer especially bladder cancer (BLCA). APOBEC mutagenesis dominates in the mutational patterns of BLCA. A higher enrichment score of APOBEC mutagenesis correlates with favorable prognosis, immune activation and potential ICB response in BLCA patients. APOBEC3A and 3B play a significant role in the malignant progression and cell differentiation within the tumor microenvironment. Furthermore, using machine learning approaches, a prognostic APOBEC mutagenesis-related model was established and validated in different BLCA cohorts. Our study illustrates the characterization of APOBECs and APOBEC mutagenesis in multiple cancer types and highlights its potential value as a promising biomarker for prognosis and immunotherapy in BLCA.

摘要

APOBEC(载脂蛋白 B mRNA 编辑酶,催化多肽样)家族介导的突变广泛存在于人类癌症中。然而,我们对 APOBEC 及其在癌症中的突变的生物学特征和临床相关性的了解仍然有限。在这项研究中,我们使用一系列生物信息学和统计学方法,对包括全外显子组测序(WES)和靶向下一代测序(NGS)、转录组(批量 RNA-seq 和单细胞 RNA-seq)、免疫特征和免疫检查点阻断(ICB)潜力、患者生存和药物敏感性在内的多个层次的数据进行了全面分析,以揭示 APOBEC 和 APOBEC 突变在泛癌(尤其是膀胱癌(BLCA))中的分布特征和临床意义。APOBEC 突变在 BLCA 的突变模式中占主导地位。APOBEC 突变的富集评分越高,与 BLCA 患者的预后良好、免疫激活和潜在的 ICB 反应相关。APOBEC3A 和 3B 在肿瘤微环境中的恶性进展和细胞分化中发挥重要作用。此外,我们还使用机器学习方法,在不同的 BLCA 队列中建立和验证了预后 APOBEC 突变相关模型。本研究阐明了 APOBEC 在多种癌症类型中的特征及其作为 BLCA 预后和免疫治疗有前途的生物标志物的潜在价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/205fc4f485b0/thnov12p4181g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/04a668eb4ec8/thnov12p4181g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/9cbba33d7814/thnov12p4181g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/c37a54cc9ab1/thnov12p4181g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/a00c69b1df3d/thnov12p4181g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/783027593b68/thnov12p4181g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/7040ee2021e5/thnov12p4181g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/d79415c8b165/thnov12p4181g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/205fc4f485b0/thnov12p4181g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/04a668eb4ec8/thnov12p4181g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/9cbba33d7814/thnov12p4181g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/c37a54cc9ab1/thnov12p4181g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/a00c69b1df3d/thnov12p4181g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/783027593b68/thnov12p4181g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/7040ee2021e5/thnov12p4181g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/d79415c8b165/thnov12p4181g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b9e6/9169361/205fc4f485b0/thnov12p4181g008.jpg

相似文献

1
APOBEC-mediated mutagenesis is a favorable predictor of prognosis and immunotherapy for bladder cancer patients: evidence from pan-cancer analysis and multiple databases.APOBEC 介导的突变是膀胱癌患者预后和免疫治疗的有利预测指标:来自泛癌症分析和多个数据库的证据。
Theranostics. 2022 May 16;12(9):4181-4199. doi: 10.7150/thno.73235. eCollection 2022.
2
Comprehensive Analyses Reveal Effects on Tumor Immune Infiltration and Immunotherapy Response of APOBEC Mutagenesis and Its Molecular Mechanisms in Esophageal Squamous Cell Carcinoma.全面分析揭示 APOBEC 突变对食管鳞癌肿瘤免疫浸润和免疫治疗反应的影响及其分子机制。
Int J Biol Sci. 2023 May 8;19(8):2551-2571. doi: 10.7150/ijbs.83824. eCollection 2023.
3
Siglec15 shapes a non-inflamed tumor microenvironment and predicts the molecular subtype in bladder cancer.Siglec15 塑造非炎症性肿瘤微环境,并预测膀胱癌的分子亚型。
Theranostics. 2021 Jan 1;11(7):3089-3108. doi: 10.7150/thno.53649. eCollection 2021.
4
APOBEC3-mediated mutagenesis in cancer: causes, clinical significance and therapeutic potential.APOBEC3 介导的癌症突变:原因、临床意义和治疗潜力。
J Hematol Oncol. 2023 Mar 28;16(1):31. doi: 10.1186/s13045-023-01425-5.
5
An APOBEC cytidine deaminase mutagenesis pattern is widespread in human cancers.APOBEC 胞嘧啶脱氨酶致突变模式广泛存在于人类癌症中。
Nat Genet. 2013 Sep;45(9):970-6. doi: 10.1038/ng.2702. Epub 2013 Jul 14.
6
Overexpression of MTHFD2 represents an inflamed tumor microenvironment and precisely predicts the molecular subtype and immunotherapy response of bladder cancer.MTHFD2 过表达代表了炎症肿瘤微环境,并能准确预测膀胱癌的分子亚型和免疫治疗反应。
Front Immunol. 2023 Dec 7;14:1326509. doi: 10.3389/fimmu.2023.1326509. eCollection 2023.
7
APOBEC and Cancer Viroimmunotherapy: Thinking the Unthinkable.APOBEC 和癌症病毒免疫疗法:突破思维局限。
Clin Cancer Res. 2021 Jun 15;27(12):3280-3290. doi: 10.1158/1078-0432.CCR-20-1888. Epub 2021 Feb 8.
8
Predicting prognosis and drug sensitivity in bladder cancer: an insight into Pan-programmed cell death patterns regulated by M6A modifications.预测膀胱癌的预后和药物敏感性:M6A 修饰调控的泛程序化细胞死亡模式的深入研究。
Sci Rep. 2024 Aug 7;14(1):18321. doi: 10.1038/s41598-024-68844-3.
9
APOBEC mutagenesis is tightly linked to the immune landscape and immunotherapy biomarkers in head and neck squamous cell carcinoma.APOBEC 突变为头颈部鳞状细胞癌的免疫景观和免疫治疗生物标志物紧密相关。
Oral Oncol. 2019 Sep;96:140-147. doi: 10.1016/j.oraloncology.2019.07.020. Epub 2019 Jul 30.
10
APOBEC-mediated Mutagenesis as a Likely Cause of FGFR3 S249C Mutation Over-representation in Bladder Cancer.载脂蛋白 B mRNA 编辑酶催化多肽 3 介导的突变作为膀胱癌中 FGFR3 S249C 突变过度表达的可能原因。
Eur Urol. 2019 Jul;76(1):9-13. doi: 10.1016/j.eururo.2019.03.032. Epub 2019 Apr 8.

引用本文的文献

1
Adjuvant nivolumab in muscle-invasive urothelial carcinoma: exploratory biomarker analysis of the randomized phase 3 CheckMate 274 trial.辅助性纳武利尤单抗治疗肌层浸润性尿路上皮癌:随机3期CheckMate 274试验的探索性生物标志物分析
Nat Med. 2025 Aug 7. doi: 10.1038/s41591-025-03802-8.
2
Comprehensive Insights into APOBEC Mutations in Thyroid Cancer: Prognostic and Therapeutic Discoveries.甲状腺癌中APOBEC突变的综合见解:预后与治疗发现
Biol Proced Online. 2025 Jul 26;27(1):28. doi: 10.1186/s12575-025-00288-z.
3
Multi-omics analysis of the effects of pla2g4a on the prognosis of various cancers and its experimental validation in breast cancer cell lines.

本文引用的文献

1
Computational analysis of cancer genome sequencing data.癌症基因组测序数据的计算分析。
Nat Rev Genet. 2022 May;23(5):298-314. doi: 10.1038/s41576-021-00431-y. Epub 2021 Dec 8.
2
APOBEC Mutagenesis Inhibits Breast Cancer Growth through Induction of T cell-Mediated Antitumor Immune Responses.载脂蛋白 B 编辑酶突变抑制子通过诱导 T 细胞介导的抗肿瘤免疫应答抑制乳腺癌生长。
Cancer Immunol Res. 2022 Jan;10(1):70-86. doi: 10.1158/2326-6066.CIR-21-0146. Epub 2021 Nov 18.
3
Immune inactivation by APOBEC3B enrichment predicts response to chemotherapy and survival in gastric cancer.
磷脂酶A2γ4a(PLA2G4A)对各种癌症预后影响的多组学分析及其在乳腺癌细胞系中的实验验证
Discov Oncol. 2025 Jul 7;16(1):1278. doi: 10.1007/s12672-025-03118-6.
4
Chemotherapy-associated mutational process signature and genomic alterations associated with outcome in metastatic pancreatic cancer.化疗相关的突变过程特征以及与转移性胰腺癌预后相关的基因组改变。
Clin Transl Oncol. 2025 Jun 26. doi: 10.1007/s12094-025-03975-1.
5
Single-cell and spatial transcriptomic analysis reveals that an immune cell-related signature could predict clinical outcomes for microsatellite-stable colorectal cancer patients receiving immunotherapy.单细胞和空间转录组分析表明,一种免疫细胞相关特征可以预测接受免疫治疗的微卫星稳定型结直肠癌患者的临床结局。
J Zhejiang Univ Sci B. 2025 Apr 23;26(4):371-392. doi: 10.1631/jzus.B2300679.
6
Comprehensive Analyses of Single-Cell and Bulk RNA Sequencing Data From M2 Macrophages to Elucidate the Immune Prognostic Signature in Patients with Gastric Cancer Peritoneal Metastasis.对M2巨噬细胞的单细胞和批量RNA测序数据进行综合分析,以阐明胃癌腹膜转移患者的免疫预后特征。
Immunotargets Ther. 2025 Apr 4;14:383-402. doi: 10.2147/ITT.S506143. eCollection 2025.
7
Genomics guiding personalized first-line immunotherapy response in lung and bladder tumors.基因组学指导肺癌和膀胱癌的个性化一线免疫治疗反应
J Transl Med. 2025 Apr 5;23(1):404. doi: 10.1186/s12967-025-06323-7.
8
Multi-omics and single-cell analysis reveals machine learning-based pyrimidine metabolism-related signature in the prognosis of patients with lung adenocarcinoma.多组学和单细胞分析揭示了基于机器学习的嘧啶代谢相关特征在肺腺癌患者预后中的作用。
Int J Med Sci. 2025 Feb 18;22(6):1375-1392. doi: 10.7150/ijms.107694. eCollection 2025.
9
Integration of multiple machine learning approaches develops a gene mutation-based classifier for accurate immunotherapy outcomes.整合多种机器学习方法开发出一种基于基因突变的分类器,用于准确预测免疫治疗结果。
NPJ Precis Oncol. 2025 Feb 27;9(1):54. doi: 10.1038/s41698-025-00842-8.
10
A pan-cancer analysis of homeobox family: expression characteristics and latent significance in prognosis and immune microenvironment.同源框家族的泛癌分析:表达特征及其在预后和免疫微环境中的潜在意义
Front Oncol. 2025 Feb 6;15:1521652. doi: 10.3389/fonc.2025.1521652. eCollection 2025.
通过富集载脂蛋白B mRNA编辑酶催化多肽样3B实现的免疫失活可预测胃癌对化疗的反应及生存情况。
Oncoimmunology. 2021 Sep 15;10(1):1975386. doi: 10.1080/2162402X.2021.1975386. eCollection 2021.
4
Characterization of immune landscape in papillary thyroid cancer reveals distinct tumor immunogenicity and implications for immunotherapy.甲状腺乳头癌免疫特征分析揭示了不同的肿瘤免疫原性及其对免疫治疗的影响。
Oncoimmunology. 2021 Sep 7;10(1):e1964189. doi: 10.1080/2162402X.2021.1964189. eCollection 2021.
5
oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data.OncoPredict:一个用于从细胞系筛选数据预测体内或癌症患者药物反应和生物标志物的 R 包。
Brief Bioinform. 2021 Nov 5;22(6). doi: 10.1093/bib/bbab260.
6
Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes.拷贝数签名分析工具及其在前列腺癌中的应用揭示了不同的突变过程和临床结局。
PLoS Genet. 2021 May 4;17(5):e1009557. doi: 10.1371/journal.pgen.1009557. eCollection 2021 May.
7
Identification and validation of hypoxia-derived gene signatures to predict clinical outcomes and therapeutic responses in stage I lung adenocarcinoma patients.鉴定和验证缺氧相关基因特征,以预测 I 期肺腺癌患者的临床结局和治疗反应。
Theranostics. 2021 Mar 5;11(10):5061-5076. doi: 10.7150/thno.56202. eCollection 2021.
8
High tumor mutation burden fails to predict immune checkpoint blockade response across all cancer types.高肿瘤突变负担未能预测所有癌症类型的免疫检查点阻断反应。
Ann Oncol. 2021 May;32(5):661-672. doi: 10.1016/j.annonc.2021.02.006. Epub 2021 Mar 15.
9
Prognosis and personalized treatment prediction in TP53-mutant hepatocellular carcinoma: an in silico strategy towards precision oncology.TP53 突变型肝细胞癌的预后和个体化治疗预测:精准肿瘤学的一种计算策略。
Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbaa164.
10
Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients.用于预测早期肺腺癌患者总生存期的缺氧相关基因特征的开发与验证
Ther Adv Med Oncol. 2020 Jul 2;12:1758835920937904. doi: 10.1177/1758835920937904. eCollection 2020.