Prevalence and mutational determinants of high tumor mutation burden in breast cancer

被引:230
|
作者
Barroso-Sousa, R. [1 ,2 ,6 ]
Jain, E. [2 ,3 ]
Cohen, O. [2 ,3 ]
Kim, D. [2 ,3 ]
Buendia-Buendia, J. [2 ,3 ]
Winer, E. [1 ,4 ,5 ]
Lin, N. [1 ,4 ,5 ]
Tolaney, S. M. [1 ,4 ,5 ]
Wagle, N. [1 ,2 ,3 ,4 ,5 ]
机构
[1] Dana Farber Canc Inst, Dept Med Oncol, 450 Brookline Ave,Dana 820A, Boston, MA 02215 USA
[2] Dana Farber Canc Inst, Ctr Canc Precis Med, Boston, MA 02215 USA
[3] Broad Inst MIT & Harvard, Cambridge, MA 02142 USA
[4] Harvard Med Sch, Boston, MA 02115 USA
[5] Brigham & Womens Hosp, Dept Med, 75 Francis St, Boston, MA 02115 USA
[6] Hosp Sirio Libanes Brasilia, Oncol Ctr, Brasilia, DF, Brazil
关键词
breast cancer; tumor mutational burden; APOBEC; mutational signatures; immunotherapy; mismatch repair deficiency; CTLA-4; BLOCKADE; PD-1; EXPRESSION; LANDSCAPE; EXOME;
D O I
10.1016/j.annonc.2019.11.010
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: 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. Patients and methods: 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. Results: 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 x 10(-16)). Hypermutated tumors were found in 198 patients (5%), with enrichment in metastatic versus primary tumors (8.4% versus 2.9%, P = 6.5 x 10(-14)). 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. Conclusion: 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.
引用
收藏
页码:387 / 394
页数:8
相关论文
共 50 条
  • [31] High tumor mutation burden is associated with DNA damage repair gene mutation in breast carcinomas
    Mei, Ping
    Freitag, C. Eric
    Wei, Lai
    Zhang, Yunxiang
    Parwani, Anil, V
    Li, Zaibo
    DIAGNOSTIC PATHOLOGY, 2020, 15 (01)
  • [32] High tumor mutation burden is associated with DNA damage repair gene mutation in breast carcinomas
    Ping Mei
    C. Eric Freitag
    Lai Wei
    Yunxiang Zhang
    Anil V. Parwani
    Zaibo Li
    Diagnostic Pathology, 15
  • [33] Tumor mutational burden and efficacy of chemotherapy in lung cancer
    Juan Song
    Yu Yan
    Cuicui Chen
    Jiamin Li
    Ning Ding
    Nuo Xu
    Hairong Bao
    Xin Zhang
    Qunying Hong
    Jian Zhou
    Yang W. Shao
    Yuanlin Song
    Lin Tong
    Jie Hu
    Clinical and Translational Oncology, 2023, 25 : 173 - 184
  • [34] Tumor mutation burden in triple negative breast cancer patients in Japan.
    Nagahashi, Masayuki
    Ling, Yiwei
    Hayashida, Tetsu
    Kitagawa, Yuko
    Futamura, Manabu
    Yoshida, Kazuhiro
    Kuwayama, Takashi
    Nakamura, Seigo
    Toshikawa, Chie
    Yamauchi, Hideko
    Yamauchi, Teruo
    Kaneko, Koji
    Kanbayashi, Chizuko
    Sato, Nobuaki
    Miyoshi, Yasuo
    Tsuchida, Junko
    Lyle, Stephen
    Takabe, Kazuaki
    Okuda, Shujiro
    Wakai, Toshifumi
    JOURNAL OF CLINICAL ONCOLOGY, 2018, 36 (15)
  • [35] Tumor mutational burden in colorectal cancer: Implications for treatment
    Marques, Adriana
    Cavaco, Patricia
    Torre, Carla
    Sepodes, Bruno
    Rocha, Joao
    CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY, 2024, 197
  • [36] Tumor mutational burden and efficacy of chemotherapy in lung cancer
    Song, Juan
    Yan, Yu
    Chen, Cuicui
    Li, Jiamin
    Ding, Ning
    Xu, Nuo
    Bao, Hairong
    Zhang, Xin
    Hong, Qunying
    Zhou, Jian
    Shao, Yang W.
    Song, Yuanlin
    Tong, Lin
    Hu, Jie
    CLINICAL & TRANSLATIONAL ONCOLOGY, 2023, 25 (01): : 173 - 184
  • [37] Mutational signature analysis in non-small cell lung cancer patients with a high tumor mutational burden
    van den Heuvel, Guus R. M.
    Kroeze, Leonie I.
    Ligtenberg, Marjolijn J. L.
    Grunberg, Katrien
    Jansen, Erik A. M.
    von Rhein, Daniel
    de Voer, Richarda M.
    van den Heuvel, Michel M.
    RESPIRATORY RESEARCH, 2021, 22 (01)
  • [38] Somatic mutation of LRP1B is associated with tumor mutational burden in patients with lung cancer
    Lan, Shaowei
    Li, Hui
    Liu, Ying
    Ma, Lixia
    Liu, Xianhong
    Liu, Yan
    Yan, Shi
    Cheng, Ying
    LUNG CANCER, 2019, 132 : 154 - 156
  • [39] Pan-cancer analysis of heterogeneity of tumor mutational burden and genomic mutation under treatment pressure
    Huang, R. J.
    Huang, Y. S.
    An, N.
    Hu, J. J.
    Wu, C. Y.
    Chen, Y. X.
    Chen, J. Y.
    Zhao, Q.
    Xu, R. H.
    Yuan, S. Q.
    Wang, F.
    ESMO OPEN, 2024, 9 (07)
  • [40] Mutational signature analysis in non-small cell lung cancer patients with a high tumor mutational burden
    Guus R. M. van den Heuvel
    Leonie I. Kroeze
    Marjolijn J. L. Ligtenberg
    Katrien Grünberg
    Erik A. M. Jansen
    Daniel von Rhein
    Richarda M. de Voer
    Michel M. van den Heuvel
    Respiratory Research, 22