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转移性乳腺癌的基因组特征分析。

Genomic Characterization of Metastatic Breast Cancer.

机构信息

Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.

Harvard Medical School, Boston, Massachusetts.

出版信息

Clin Cancer Res. 2021 Feb 15;27(4):1105-1118. doi: 10.1158/1078-0432.CCR-20-1720. Epub 2020 Dec 8.

DOI:10.1158/1078-0432.CCR-20-1720
PMID:33293374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7887078/
Abstract

PURPOSE

In contrast to recurrence after initial diagnosis of stage I-III breast cancer [recurrent metastatic breast cancer (rMBC)], metastatic breast cancer (dnMBC) represents a unique setting to elucidate metastatic drivers in the absence of treatment selection. We present the genomic landscape of dnMBC and association with overall survival (OS).

EXPERIMENTAL DESIGN

Targeted DNA sequencing (OncoPanel) was prospectively performed on either primary or metastatic tumors from 926 patients (212 dnMBC and 714 rMBC). Single-nucleotide variants, copy-number variations, and tumor mutational burden (TMB) in treatment-naïve dnMBC primary tumors were compared with primary tumors in patients who ultimately developed rMBC, and correlated with OS across all dnMBC.

RESULTS

When comparing primary tumors by subtype, amplification was enriched in triple-negative dnMBC versus rMBC (21.1% vs. 0%, = 0.0005, = 0.111). Mutations in , and were more prevalent, and and less prevalent, in primary HR/HER2 tumors of dnMBC versus rMBC, though not significant after multiple comparison adjustment. Alterations associated with shorter OS in dnMBC included TP53 (wild-type: 79.7 months; altered: 44.2 months; = 0.008, = 0.107), MYC (79.7 vs. 23.3 months; = 0.0003, = 0.011), and cell-cycle (122.7 vs. 54.9 months; = 0.034, = 0.245) pathway genes. High TMB correlated with better OS in triple-negative dnMBC ( = 0.041).

CONCLUSIONS

Genomic differences between treatment-naïve dnMBC and primary tumors of patients who developed rMBC may provide insight into mechanisms underlying metastatic potential and differential therapeutic sensitivity in dnMBC. Alterations associated with poor OS in dnMBC highlight the need for novel approaches to overcome potential intrinsic resistance to current treatments.

摘要

目的

与初始诊断为 I-III 期乳腺癌[复发性转移性乳腺癌(rMBC)]后的复发不同,转移性乳腺癌(dnMBC)代表了一个独特的环境,可以在没有治疗选择的情况下阐明转移性驱动因素。我们展示了 dnMBC 的基因组特征及其与总生存期(OS)的关联。

实验设计

前瞻性地对 926 名患者的原发或转移肿瘤进行靶向 DNA 测序(OncoPanel),其中 212 名为 dnMBC,714 名为 rMBC。在 dnMBC 原发肿瘤的治疗-naive 状态下,比较原发性肿瘤的单核苷酸变异、拷贝数变异和肿瘤突变负荷(TMB)与最终发生 rMBC 的患者的原发性肿瘤,并在所有 dnMBC 中与 OS 相关。

结果

当按亚型比较原发性肿瘤时,三阴性 dnMBC 中扩增更为丰富,而 rMBC 中则没有(21.1%对 0%,=0.0005,=0.111)。在 dnMBC 的 HR/HER2 原发性肿瘤中,与 dnMBC 相比,中的突变和 更常见,而 和 则不常见,尽管在多次比较调整后并不显著。与 dnMBC 较短 OS 相关的改变包括 TP53(野生型:79.7 个月;改变型:44.2 个月;=0.008,=0.107)、MYC(79.7 对 23.3 个月;=0.0003,=0.011)和细胞周期(122.7 对 54.9 个月;=0.034,=0.245)途径基因。高 TMB 与三阴性 dnMBC 的 OS 相关(=0.041)。

结论

治疗-naive dnMBC 与发生 rMBC 的患者的原发性肿瘤之间的基因组差异可能为 dnMBC 中的转移潜能和治疗敏感性的差异提供潜在机制的见解。与 dnMBC 中不良 OS 相关的改变突出了需要采用新方法来克服对当前治疗的潜在内在耐药性。

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1
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JCO Precis Oncol. 2019 Nov 15;3. doi: 10.1200/PO.19.00087. eCollection 2019.
2
Acquired FGFR and FGF Alterations Confer Resistance to Estrogen Receptor (ER) Targeted Therapy in ER Metastatic Breast Cancer.获得性 FGFR 和 FGF 改变赋予 ER 转移性乳腺癌对雌激素受体(ER)靶向治疗的耐药性。
Clin Cancer Res. 2020 Nov 15;26(22):5974-5989. doi: 10.1158/1078-0432.CCR-19-3958. Epub 2020 Jul 28.
3
炎性乳腺癌的临床基因组特征
Clin Cancer Res. 2025 May 16. doi: 10.1158/1078-0432.CCR-24-2081.
4
Comprehensive mapping elucidates high risk genotypes in primary metastatic breast cancer.全面图谱分析揭示原发性转移性乳腺癌的高风险基因型。
Neoplasia. 2025 May;63:101162. doi: 10.1016/j.neo.2025.101162. Epub 2025 Mar 22.
5
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J Immunother Cancer. 2025 Feb 25;13(2):e010430. doi: 10.1136/jitc-2024-010430.
6
Comprehensive genomic profiling can predict response to neoadjuvant chemotherapy in triple-negative breast cancer.全面基因组分析可预测三阴性乳腺癌对新辅助化疗的反应。
Breast. 2025 Apr;80:104423. doi: 10.1016/j.breast.2025.104423. Epub 2025 Feb 17.
7
Genomic characterization and molecular predictive biomarkers for chemotherapy in patients with metastatic triple-negative breast cancer treated in a real-world setting.真实世界中转移性三阴性乳腺癌患者化疗的基因组特征及分子预测生物标志物
Breast. 2025 Feb;79:103874. doi: 10.1016/j.breast.2025.103874. Epub 2025 Jan 2.
8
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9
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The mutational constraint spectrum quantified from variation in 141,456 humans.
从 141456 名人类个体的变异中量化的突变约束谱。
Nature. 2020 May;581(7809):434-443. doi: 10.1038/s41586-020-2308-7. Epub 2020 May 27.
4
The clinicomolecular landscape of de novo versus relapsed stage IV metastatic breast cancer.新发转移性 IV 期乳腺癌与复发性转移性 IV 期乳腺癌的临床分子特征。
Exp Mol Pathol. 2020 Jun;114:104404. doi: 10.1016/j.yexmp.2020.104404. Epub 2020 Feb 14.
5
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Oncologist. 2020 Feb;25(2):e214-e222. doi: 10.1634/theoncologist.2019-0446. Epub 2019 Oct 14.
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JCO Precis Oncol. 2019;3. doi: 10.1200/PO.19.00171. Epub 2019 Nov 12.
7
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。
Nat Genet. 2019 Oct;51(10):1450-1458. doi: 10.1038/s41588-019-0507-7. Epub 2019 Sep 30.
8
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.
9
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。
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10
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Nat Genet. 2019 Feb;51(2):202-206. doi: 10.1038/s41588-018-0312-8. Epub 2019 Jan 14.