• 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

中国转移性乳腺癌患者癌症基因突变特征分析

Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients.

作者信息

Tao Zhonghua, Li Ting, Feng Zhe, Liu Chang, Shao Yilin, Zhu Mingyu, Gong Chengcheng, Wang Biyun, Cao Jun, Wang Leipin, Du Yiqun, Lizaso Analyn, Li Bing, Zhang Jian, Hu Xichun

机构信息

Department of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.

Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.

出版信息

Front Oncol. 2020 Jun 30;10:1023. doi: 10.3389/fonc.2020.01023. eCollection 2020.

DOI:10.3389/fonc.2020.01023
PMID:32695676
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7338574/
Abstract

Breast cancer (BC) is a type of disease with high heterogeneity. Molecular profiling, by revealing the intrinsic nature of its various subtypes, has extensively improved the therapeutic management of BC patients. However, the genomic mutation landscape of Chinese metastatic BC has not been fully explored. Matched plasma and mononuclear cells from 290 Chinese women with metastatic BC were sequenced using either of the two commercially-available panels consisting of 520 cancer-related and 108 BC-related genes. Both panels cover the same critical regions of 91 genes. The circulating tumor DNA mutation profile from our cohort was then compared with publicly-available metastatic BC datasets from Memorial Sloan Kettering Cancer Center (MSKCC) and Pan-cancer analysis of whole genomes (PCAWG). A total of 1,201 mutations spanning 91 genes were detected from 234 patients, resulting in a mutation detection rate of 80.7%. TP53 (64.1%) was the gene with highest mutation frequency, followed by PIK3CA (31%), PTEN (11%), and RB1 (10%). Copy number amplifications (CNAs) in MYC (14.1%), FGFR1 (13.3%), CCND1 (6.6%), FGF3 (6.6%), FGF4 (6.2%) and FGF19 (6.2%) were also detected from our cohort. TP53 mutations were significantly more frequent among triple negative BC (TNBC), HR-/HER2+, and HR+/HER2+ BC, while less common in HR+/HER2- ( < 0.01). Meanwhile, PIK3CA mutations were significantly more frequent among HR+/HER2+, HR+/HER2-, and HR-/HER2+ BC, while less common in TNBC ( < 0.01). Pathogenic or likely pathogenic BRCA1/2 germline mutations were detected in 5.9% of the cohort and 4.4% in TNBC subgroup. Maximum allelic fraction (maxAF) of TP53, RB1, and PIK3CA mutations were associated with multiple organ metastasis. Patients with PIK3CA, PTEN, and RB1 mutation were more likely to have liver metastasis ( < 0.02). Compared with MSKCC and PCAWG dataset, Chinese patients had observably difference in genetic variation rates in different molecular subtypes (TNBC: TP53 73.0 vs. 91.5%, < 0.001; PIK3CA 21.2 vs. 13.2%, = 0.061; HR+/HER2-: FGFR1 3.3 vs. 0.7%, = 0.035; TP 53 46.2 vs. 27.7%, < 0.001; RB1 6.6 vs. 2.7%, = 0.046; CDKN2A 7.7 vs. 1.0%, < 0.001; PIK3CA 30.8 vs. 44.2%, = 0.012; CDH1 1.1 vs. 18.2%, < 0.001; GATA3 7.7 vs. 17.2%, = 0.02). A distinct gene mutation profile was elucidated in Chinese women with metastatic BC, justifying further research. Liquid biopsy provides a quick, real-time, and minimally invasive tool for future clinical trial and routine practice.

摘要

乳腺癌(BC)是一种具有高度异质性的疾病。分子谱分析通过揭示其各种亚型的内在本质,极大地改善了BC患者的治疗管理。然而,中国转移性BC的基因组突变格局尚未得到充分探索。对290名中国转移性BC女性患者的配对血浆和单核细胞,使用由520个癌症相关基因和108个BC相关基因组成的两种商用检测板之一进行测序。两种检测板都覆盖了91个基因的相同关键区域。然后将我们队列中的循环肿瘤DNA突变谱与纪念斯隆凯特琳癌症中心(MSKCC)和全基因组泛癌分析(PCAWG)公开的转移性BC数据集进行比较。从234名患者中检测到91个基因的总共1201个突变,突变检测率为80.7%。TP53(64.1%)是突变频率最高的基因,其次是PIK3CA(31%)、PTEN(11%)和RB1(10%)。在我们的队列中还检测到MYC(14.1%)、FGFR1(13.3%)、CCND1(6.6%)、FGF3(6.6%)、FGF4(6.2%)和FGF19(6.2%)的拷贝数扩增(CNA)。TP53突变在三阴性乳腺癌(TNBC)、HR-/HER2+和HR+/HER2+ BC中明显更常见,而在HR+/HER2-中较少见(<0.01)。同时,PIK3CA突变在HR+/HER2+、HR+/HER2-和HR-/HER2+ BC中明显更常见,而在TNBC中较少见(<0.01)。在5.9%的队列和TNBC亚组的4.4%中检测到致病性或可能致病性的BRCA1/2种系突变。TP53、RB1和PIK3CA突变的最大等位基因分数(maxAF)与多器官转移相关。PIK3CA、PTEN和RB1突变的患者更有可能发生肝转移(<0.02)。与MSKCC和PCAWG数据集相比,中国患者在不同分子亚型中的基因变异率存在明显差异(TNBC:TP53 73.0%对91.5%,<0.001;PIK3CA 21.2%对13.2%,=0.061;HR+/HER2-:FGFR1 3.3%对0.7%,=0.035;TP 53 46.2%对27.7%,<0.001;RB1 6.6%对2.7%,=0.046;CDKN2A 7.7%对1.0%,<0.001;PIK3CA 30.8%对44.2%,=0.012;CDH1 1.1%对18.2%,<0.001;GATA3 7.7%对17.2%,=0.02)。在中国转移性BC女性中阐明了独特的基因突变谱,值得进一步研究。液体活检为未来的临床试验和常规实践提供了一种快速、实时且微创的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/b85031aaa811/fonc-10-01023-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/d324457a359c/fonc-10-01023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/0bd029d7ef61/fonc-10-01023-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/f764fe49669c/fonc-10-01023-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/b85031aaa811/fonc-10-01023-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/d324457a359c/fonc-10-01023-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/0bd029d7ef61/fonc-10-01023-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/f764fe49669c/fonc-10-01023-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e0b/7338574/b85031aaa811/fonc-10-01023-g0004.jpg

相似文献

1
Characterizations of Cancer Gene Mutations in Chinese Metastatic Breast Cancer Patients.中国转移性乳腺癌患者癌症基因突变特征分析
Front Oncol. 2020 Jun 30;10:1023. doi: 10.3389/fonc.2020.01023. eCollection 2020.
2
Genetic alterations and their association with clinicopathologic characteristics in advanced breast carcinomas: focusing on clinically actionable genetic alterations.晚期乳腺癌中的遗传改变及其与临床病理特征的关系:重点关注具有临床可操作性的遗传改变。
Hum Pathol. 2020 Aug;102:94-103. doi: 10.1016/j.humpath.2020.05.005. Epub 2020 May 21.
3
Characterization of frequently mutated cancer genes in Chinese breast tumors: a comparison of Chinese and TCGA cohorts.中国乳腺肿瘤中频繁突变的癌症基因特征:中国人群与癌症基因组图谱(TCGA)队列的比较
Ann Transl Med. 2019 Apr;7(8):179. doi: 10.21037/atm.2019.04.23.
4
Frequency and spectrum of PIK3CA somatic mutations in breast cancer.乳腺癌中 PIK3CA 体细胞突变的频率和谱。
Breast Cancer Res. 2020 May 13;22(1):45. doi: 10.1186/s13058-020-01284-9.
5
Comparison of mutational profiles between triple-negative and hormone receptor-positive/human epidermal growth factor receptor 2-negative breast cancers in T2N0-1M0 stage: Implications of TP53 and PIK3CA mutations in Korean early-stage breast cancers.T2N0-1M0期三阴性与激素受体阳性/人表皮生长因子受体2阴性乳腺癌的突变谱比较:TP53和PIK3CA突变在韩国早期乳腺癌中的意义
Curr Probl Cancer. 2022 Apr;46(2):100843. doi: 10.1016/j.currproblcancer.2022.100843. Epub 2022 Feb 9.
6
Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients.晚期乳腺癌患者的突变模式和循环肿瘤 DNA 衍生预后标志物的鉴定。
J Transl Med. 2022 May 13;20(1):211. doi: 10.1186/s12967-022-03421-8.
7
Genomic alteration profile and PD-L1 expression among different breast cancer subtypes in Chinese population and their correlations.中国人群不同乳腺癌亚型的基因组改变谱和 PD-L1 表达及其相关性。
Cancer Med. 2023 Mar;12(5):5195-5208. doi: 10.1002/cam4.5314. Epub 2022 Nov 20.
8
Outcome and molecular landscape of patients with PIK3CA-mutated metastatic breast cancer.PIK3CA 突变型转移性乳腺癌患者的结局和分子特征。
Ann Oncol. 2020 Mar;31(3):377-386. doi: 10.1016/j.annonc.2019.11.006. Epub 2020 Jan 24.
9
Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations.对具有遗传推断血统的真实世界乳腺癌队列进行分子分析,揭示了欧洲血统和非洲血统患者人群之间具有可操作性的肿瘤生物学差异。
Breast Cancer Res. 2023 May 25;25(1):58. doi: 10.1186/s13058-023-01627-2.
10
Distinct Somatic Alteration Features Identified by Gene Panel Sequencing in Korean Triple-Negative Breast Cancer with High Ki67 Expression.通过基因panel测序在韩国高Ki67表达三阴性乳腺癌中鉴定出的独特体细胞改变特征
Diagnostics (Basel). 2021 Mar 1;11(3):416. doi: 10.3390/diagnostics11030416.

引用本文的文献

1
Analyzing the Blueprint: Exploring the Molecular Profile of Metastasis and Therapeutic Resistance.剖析蓝图:探索转移与治疗耐药的分子特征
Int J Mol Sci. 2025 Jul 20;26(14):6954. doi: 10.3390/ijms26146954.
2
Capivasertib plus fulvestrant in patients with HR-positive/HER2-negative advanced breast cancer: phase 3 CAPItello-291 study extended Chinese cohort.卡帕替尼联合氟维司群治疗激素受体阳性/人表皮生长因子受体2阴性晚期乳腺癌患者:3期CAPItello-291研究扩展中国队列
Nat Commun. 2025 May 9;16(1):4324. doi: 10.1038/s41467-025-59210-6.
3
Expert Consensus on the Diagnosis and Treatment of FGFR Gene-Altered Solid Tumors.

本文引用的文献

1
Efficacy of PI3K inhibitors in advanced breast cancer.PI3K 抑制剂在晚期乳腺癌中的疗效。
Ann Oncol. 2019 Dec 1;30(Suppl_10):x12-x20. doi: 10.1093/annonc/mdz381.
2
Pan-cancer whole-genome analyses of metastatic solid tumours.泛癌种实体瘤全基因组分析。
Nature. 2019 Nov;575(7781):210-216. doi: 10.1038/s41586-019-1689-y. Epub 2019 Oct 23.
3
The genomic landscape of metastatic breast cancer highlights changes in mutation and signature frequencies.转移性乳腺癌的基因组景观突出了突变和特征频率的变化。
FGFR基因改变实体瘤诊断与治疗专家共识
Glob Med Genet. 2024 Sep 16;11(4):330-343. doi: 10.1055/s-0044-1790230. eCollection 2024 Dec.
4
A panel sequencing dataset of peripheral blood gene variations in pan-cancer.泛癌种外周血基因变异的面板测序数据集。
Sci Data. 2024 Jul 20;11(1):805. doi: 10.1038/s41597-024-03620-6.
5
Low level of ARID1A contributes to adaptive immune resistance and sensitizes triple-negative breast cancer to immune checkpoint inhibitors.ARID1A 低表达导致适应性免疫抵抗,并使三阴性乳腺癌对免疫检查点抑制剂敏感。
Cancer Commun (Lond). 2023 Sep;43(9):1003-1026. doi: 10.1002/cac2.12465. Epub 2023 Jul 11.
6
A study of clinical and molecular characteristics in bilateral primary breast cancer.双侧原发性乳腺癌的临床和分子特征研究。
Cancer Med. 2023 Aug;12(15):15881-15892. doi: 10.1002/cam4.6226. Epub 2023 Jun 9.
7
Biology of breast cancer brain metastases and novel therapies targeting the blood brain barrier: an updated review.乳腺癌脑转移的生物学特性和血脑屏障靶向新型治疗策略:最新综述。
Med Oncol. 2023 May 18;40(6):181. doi: 10.1007/s12032-023-02047-0.
8
Chromatin Remodelling Molecule ARID1A Determines Metastatic Heterogeneity in Triple-Negative Breast Cancer by Competitively Binding to YAP.染色质重塑分子ARID1A通过与YAP竞争性结合来决定三阴性乳腺癌的转移异质性。
Cancers (Basel). 2023 Apr 25;15(9):2447. doi: 10.3390/cancers15092447.
9
Identification of mutation patterns and circulating tumour DNA-derived prognostic markers in advanced breast cancer patients.晚期乳腺癌患者的突变模式和循环肿瘤 DNA 衍生预后标志物的鉴定。
J Transl Med. 2022 May 13;20(1):211. doi: 10.1186/s12967-022-03421-8.
10
Chemotherapy modulates CDK4/6 inhibitors resistance in metastatic breast cancer by Rb1 mutations: a case report and literature review.Rb1 突变介导化疗对转移性乳腺癌 CDK4/6 抑制剂耐药性的影响:一例报告及文献综述
Ann Transl Med. 2022 Jan;10(2):117. doi: 10.21037/atm-22-52.
Nat Genet. 2019 Oct;51(10):1450-1458. doi: 10.1038/s41588-019-0507-7. Epub 2019 Sep 30.
4
Characterization of frequently mutated cancer genes in Chinese breast tumors: a comparison of Chinese and TCGA cohorts.中国乳腺肿瘤中频繁突变的癌症基因特征:中国人群与癌症基因组图谱(TCGA)队列的比较
Ann Transl Med. 2019 Apr;7(8):179. doi: 10.21037/atm.2019.04.23.
5
Genomic characterization of metastatic breast cancers.转移性乳腺癌的基因组特征分析。
Nature. 2019 May;569(7757):560-564. doi: 10.1038/s41586-019-1056-z. Epub 2019 May 22.
6
Alpelisib for -Mutated, Hormone Receptor-Positive Advanced Breast Cancer.阿培利司治疗 - 突变型、激素受体阳性晚期乳腺癌。
N Engl J Med. 2019 May 16;380(20):1929-1940. doi: 10.1056/NEJMoa1813904.
7
Genomic and Transcriptomic Landscape of Triple-Negative Breast Cancers: Subtypes and Treatment Strategies.三阴性乳腺癌的基因组和转录组全景:亚型和治疗策略。
Cancer Cell. 2019 Mar 18;35(3):428-440.e5. doi: 10.1016/j.ccell.2019.02.001. Epub 2019 Mar 7.
8
The long-term prognostic and predictive capacity of cyclin D1 gene amplification in 2305 breast tumours.2305 例乳腺肿瘤中 cyclin D1 基因扩增的长期预后和预测能力。
Breast Cancer Res. 2019 Feb 28;21(1):34. doi: 10.1186/s13058-019-1121-4.
9
Cyclin E1 Expression and Palbociclib Efficacy in Previously Treated Hormone Receptor-Positive Metastatic Breast Cancer.细胞周期蛋白 E1 表达与帕博西尼在既往治疗的激素受体阳性转移性乳腺癌中的疗效。
J Clin Oncol. 2019 May 10;37(14):1169-1178. doi: 10.1200/JCO.18.00925. Epub 2019 Feb 26.
10
Chronological occurrence of PI3KCA mutations in breast cancer liver metastases after repeat partial liver resection.乳腺癌肝转移再次行部分肝切除术后 PI3KCA 突变的时序发生。
BMC Cancer. 2019 Feb 22;19(1):169. doi: 10.1186/s12885-019-5365-2.