Genomics and tumor microenvironment of breast mucoepidermoid carcinoma based on whole-exome and RNA sequencing

被引:1
|
作者
Ge, Yan [1 ,2 ]
Lin, Xingtao [1 ]
He, Jiao [1 ]
Chen, Wendan [1 ]
Lin, Danyi [1 ]
Zheng, Yihong [2 ]
Yang, Lingling [3 ]
Xu, Fangping [1 ]
Li, Zhi [1 ]
机构
[1] Southern Med Univ, Guangdong Prov Peoples Hosp, Guangdong Acad Med Sci, Dept Pathol, Guangzhou, Peoples R China
[2] Ganzhou Municipal Hosp, Ganzhou Hosp, Guangdong Prov Peoples Hosp, Dept Pathol, 49 Dagong Rd, Ganzhou, Peoples R China
[3] Geneseeq Technol Inc, Geneseeq Res Inst, Nanjing, Peoples R China
关键词
Breast; Mucoepidermoid carcinoma; Whole-exome sequencing; RNA-sequencing; NEEDLE-ASPIRATION-CYTOLOGY; SALIVARY-GLAND; GRADE;
D O I
10.1186/s13000-024-01439-8
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Mammary mucoepidermoid carcinoma (MEC) is a rare entity. The molecular characteristics of breast MEC have not been fully investigated due to its rarity. We performed a retrospective study among 1000 patients with breast carcinomas and identified four cases of breast MEC. Clinical and demographic data were collected. Immunohistochemistry panels which were used to diagnose salivary gland MEC and breast carcinomas were also performed. MAML2 rearrangements were detected by FISH and fusion partners were identified by RNA sequencing. Whole-exome sequencing (WES) was used to reveal the genomes of these four breast MEC. Then, the biological functions and features of breast MEC were further compared with those of invasive breast carcinomas and salivary gland MEC.According to Ellis and Auclair's methods, these four breast MEC could be classified as low-grade breast MEC. All the patients were alive, and disease-free survival (PFS) ranged from 20 months to 67 months. Among these four breast MEC, two cases were triple-negative, and the other two cases were found to be ER positive, with one also showing HER2 equivocal by immunohistochemical staining, but no amplification in FISH. FISH analysis confirmed the presence of the MAML2 translocation in three of four tumors, and CRTC1-MAML2 fusion was confirmed in two of them by RNA-sequencing. The average coverage size of WES for the tumor mutation burden estimation was 32 Mb. MUC4, RP1L1 and QRICH2 mutations were identified in at least three tumors, and these mutation also existed in breast invasive carcinoma databases (TCGA, Cell 2015; TCGA, Nature 2012). The results showed that there were many genes in breast MEC overlapping with the breast invasive carcinoma databases mentioned above, range from 5 to 63 genes (median:21 genes). Next, we assessed immune cell infiltration levels in these tumors. In all these tumors, M2 macrophages and plasma cell were in the high infiltration group. Our breast MEC showed different results from the salivary gland MEC, whose plasma cells were in the low infiltration group. Overall, we first analyzed the genomics and tumor microenvironment of breast mucoepidermoid carcinoma and proposed our hypothesis that although MECs arising in the breast resemble their salivary gland counterparts phenotypically, our findings indicate that breast MECs probably resemble invasive breast carcinomas at the genetic level and immune cell infiltration levels. More cases and in deep research need to be done to further understand this rare carcinoma.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Whole-Exome Sequencing Reveals Molecular Features of Ovarian Neuroendocrine Carcinoma
    Wang, Yihong
    Yu, Yijian
    Ii, Hui
    Jiang, Zhinong
    Hu, Xiaotong
    LABORATORY INVESTIGATION, 2024, 104 (03) : S1267 - S1268
  • [32] Applying whole-genome and whole-exome sequencing in breast cancer: a review of the landscape
    Ganatra, Hetvi
    Tan, Joecelyn Kirani
    Simmons, Ana
    Bigogno, Carola Maria
    Khurana, Vatsala
    Ghose, Aruni
    Ghosh, Adheesh
    Mahajan, Ishika
    Boussios, Stergios
    Maniam, Akash
    Ayodele, Olubukola
    BREAST CANCER, 2024, 31 (06) : 999 - 1009
  • [33] A large-scale whole-exome sequencing mutant resource for functional genomics in wheat
    Xiong, Hongchun
    Guo, Huijun
    Fu, Meiyu
    Xie, Yongdun
    Zhao, Linshu
    Gu, Jiayu
    Zhao, Shirong
    Ding, Yuping
    Du, Qidi
    Zhang, Jiazi
    Qiu, Lin
    Xie, Xiaomei
    Zhou, Libin
    Chen, Zhongxu
    Liu, Luxiang
    PLANT BIOTECHNOLOGY JOURNAL, 2023, 21 (10) : 2047 - 2056
  • [34] Based on whole-exome sequencing to explore the rule of Herceptin and TKI resistance in breast cancer patients
    Guo, Liantao
    Cheng, Hong
    Liu, Jianhua
    Shao, Weikang
    Luo, Lan
    Zheng, Weijie
    Sun, Shengrong
    Kong, Deguang
    Chen, Chuang
    BMC MEDICAL GENOMICS, 2024, 17 (01)
  • [35] Based on whole-exome sequencing to explore the rule of Herceptin and TKI resistance in breast cancer patients
    Liantao Guo
    Hong Cheng
    Jianhua Liu
    Weikang Shao
    Lan Luo
    Weijie Zheng
    Shengrong Sun
    Deguang Kong
    Chuang Chen
    BMC Medical Genomics, 17
  • [36] A stroke gene panel for whole-exome sequencing
    Andreea Ilinca
    Sofie Samuelsson
    Paul Piccinelli
    Maria Soller
    Ulf Kristoffersson
    Arne G. Lindgren
    European Journal of Human Genetics, 2019, 27 : 317 - 324
  • [37] Whole-exome sequencing in the investigation of retinal dystrophy
    Hull, Sarah
    Arno, Gavin
    Owen, Nicholas
    Plagnol, Vincent
    Robson, Anthony
    Michaelides, Michel
    Holder, Graham
    Webster, Andrew
    Moore, Anthony
    LANCET, 2016, 387 : 52 - 52
  • [38] The Application of Whole-Exome Sequencing in Patients With FUO
    Guo, Wanru
    Feng, Xuewen
    Hu, Ming
    Shangguan, Yanwan
    Xia, Jiafeng
    Hu, Wenjuan
    Li, Xiaomeng
    Zhang, Zunjing
    Shi, Yunzhen
    Xu, Kaijin
    FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY, 2022, 11
  • [39] Whole-exome sequencing in familial atrial fibrillation
    Weeke, Peter
    Muhammad, Raafia
    Delaney, Jessica T.
    Shaffer, Christian
    Mosley, Jonathan D.
    Blair, Marcia
    Short, Laura
    Stubblefield, Tanya
    Roden, Dan M.
    Darbar, Dawood
    EUROPEAN HEART JOURNAL, 2014, 35 (36) : 2477 - 2483
  • [40] Whole-exome sequencing: opportunities in pediatric endocrinology
    Samuels, Mark E.
    Hasselmann, Caroline
    Deal, Cheri L.
    Deladoey, Johnny
    Van Vliet, Guy
    PERSONALIZED MEDICINE, 2014, 11 (01) : 63 - 78