Department of Medical Oncology; Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, USA.
Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, USA; Broad Institute of MIT and Harvard, Cambridge, USA.
Ann Oncol. 2020 Mar;31(3):387-394. doi: 10.1016/j.annonc.2019.11.010. Epub 2020 Jan 9.
High tumor mutation burden (TMB) can benefit immunotherapy for multiple tumor types, but the prevalence of hypermutated breast cancer is not well described. The aim of this study was to evaluate the frequency, mutational patterns, and genomic profile of hypermutated breast cancer.
We used de-identified data from individuals with primary or metastatic breast cancer from six different publicly available genomic studies. The prevalence of hypermutated breast cancer was determined among 3969 patients' samples that underwent whole exome sequencing or gene panel sequencing. The samples were classified as having high TMB if they had ≥10 mutations per megabase (mut/Mb). An additional eight patients were identified from a Dana-Farber Cancer Institute cohort for inclusion in the hypermutated cohort. Among the patients with high TMB, the mutational patterns and genomic profiles were determined. A subset of patients was treated with regimens containing PD-1 inhibitors.
The median TMB was 2.63 mut/Mb. The median TMB significantly varied according to the tumor subtype (HR-/HER2- >HER2+ >HR+/HER2-, P < 0.05) and sample type (metastatic > primary, P = 2.2 × 10). Hypermutated tumors were found in 198 patients (5%), with enrichment in metastatic versus primary tumors (8.4% versus 2.9%, P = 6.5 × 10). APOBEC activity (59.2%), followed by mismatch repair deficiency (MMRd; 36.4%), were the most common mutational processes among hypermutated tumors. Three patients with hypermutated breast cancer-including two with a dominant APOBEC activity signature and one with a dominant MMRd signature-treated with pembrolizumab-based therapies derived an objective and durable response to therapy.
Hypermutation occurs in 5% of all breast cancers with enrichment in metastatic tumors. Different mutational signatures are present in this population with APOBEC activity being the most common dominant process. Preliminary data suggest that hypermutated breast cancers are more likely to benefit from PD-1 inhibitors.
高肿瘤突变负担(TMB)可使多种肿瘤类型受益于免疫治疗,但高突变型乳腺癌的患病率尚未得到充分描述。本研究旨在评估高突变型乳腺癌的频率、突变模式和基因组特征。
我们使用了来自六个不同公开基因组研究的原发性或转移性乳腺癌个体的去识别数据。在接受全外显子组测序或基因panel 测序的 3969 例样本中,确定了高突变型乳腺癌的患病率。如果样本的每兆碱基(mut/Mb)有≥10 个突变,则将其归类为具有高 TMB。另外,从 Dana-Farber 癌症研究所的一个队列中确定了 8 例患者纳入高突变型队列。在高 TMB 患者中,确定了突变模式和基因组特征。患者亚组接受了含有 PD-1 抑制剂的治疗方案。
中位 TMB 为 2.63 mut/Mb。中位 TMB 根据肿瘤亚型(HR-/HER2- >HER2+ >HR+/HER2-,P<0.05)和样本类型(转移性>原发性,P=2.2×10)而显著不同。在 198 例患者(5%)中发现了高突变型肿瘤,在转移性肿瘤中比原发性肿瘤更常见(8.4%比 2.9%,P=6.5×10)。APOBEC 活性(59.2%),其次是错配修复缺陷(MMRd;36.4%),是高突变型肿瘤中最常见的突变过程。3 例高突变型乳腺癌患者,包括 2 例具有主导 APOBEC 活性特征和 1 例具有主导 MMRd 特征,接受基于 pembrolizumab 的治疗后,对治疗有客观且持久的反应。
高突变发生在所有乳腺癌的 5%中,在转移性肿瘤中更为常见。该人群中存在不同的突变特征,APOBEC 活性是最常见的主导过程。初步数据表明,高突变型乳腺癌更可能受益于 PD-1 抑制剂。