Molecular and Clinical Characterization of PD-1 in Breast Cancer Using Large-Scale Transcriptome Data

被引:14
作者
Liu, Qiang [1 ]
Cheng, Ran [1 ]
Kong, Xiangyi [1 ]
Wang, Zhongzhao [1 ]
Fang, Yi [1 ]
Wang, Jing [1 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Dept Breast Surg Oncol, Natl Canc Ctr, Natl Clin Res Ctr Canc,Canc Hosp, Beijing, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2020年 / 11卷
关键词
breast cancer; cancer immunotherapy; PD-1; immune response; inflammatory activity; IMMUNE; NIVOLUMAB; BLOCKADE; SURVIVAL; PACKAGE; FUTURE;
D O I
10.3389/fimmu.2020.558757
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Despite the impressive impact of PD-1 (programmed cell death protein 1)-targeted cancer immunotherapy, a great part of patients with cancer fail to respond. PD-1 impact on immune cells in addition to T cells, and the synergistic role of PD-1 with other immune modulators remain largely unknown. To fill this gap, we systematically investigated PD-1-related transcriptome data and relevant clinical information derived from TCGA (The Cancer Genome Atlas) and METABRIC (Molecular Taxonomy of Breast Cancer International Consortium), which involved a total of 2,994 breast cancer patients. Our results revealed the relationship among PD-1 and major molecular and clinical characteristics in breast cancer. More importantly, we depicted the association landscape between PD-1 and other immune cell populations. Gene ontology analyses and gene set variation analysis (GSVA) of genes correlated with PD-1 revealed that PD-1 was mainly involved in immune responses and inflammatory activities. We also elucidated the association of PD-1 with other immune modulators in pan-cancer level, especially the potential synergistic relationship between PD-1 and other immune checkpoints members in breast cancer. In short, the expression level of PD-1 was bound up with breast cancer malignancy, which could be used as a potential biomarker; PD-1 might manipulate the anti-tumor immune response by impacting not just T cells, and this might vary among different tumor types. Furthermore, PD-1 might synergize with other immune checkpoint members to modulate the immune microenvironment in breast cancer.
引用
收藏
页数:13
相关论文
共 45 条
  • [1] Estimating the population abundance of tissue-infiltrating immune and stromal cell populations using gene expression
    Becht, Etienne
    Giraldo, Nicolas A.
    Lacroix, Laetitia
    Buttard, Benedicte
    Elarouci, Nabila
    Petitprez, Florent
    Selves, Janick
    Laurent-Puig, Pierre
    Sautes-Fridman, Catherine
    Fridman, Wolf H.
    de Reynies, Aurelien
    [J]. GENOME BIOLOGY, 2016, 17
  • [2] Checkpoint Inhibitors and Their Application in Breast Cancer
    Bedognetti, Davide
    Maccalli, Cristina
    Al Bader, Salha B. J.
    Marincola, Francesco M.
    Seliger, Barbara
    [J]. BREAST CARE, 2016, 11 (02) : 108 - 115
  • [3] Bersanelli M, 2017, WORLD J CLIN ONCOL, V8, P37, DOI 10.5306/wjco.v8.i1.37
  • [4] ImmPort: disseminating data to the public for the future of immunology
    Bhattacharya, Sanchita
    Andorf, Sandra
    Gomes, Linda
    Dunn, Patrick
    Schaefer, Henry
    Pontius, Joan
    Berger, Patty
    Desborough, Vince
    Smith, Tom
    Campbell, John
    Thomson, Elizabeth
    Monteiro, Ruth
    Guimaraes, Patricia
    Walters, Bryan
    Wiser, Jeff
    Butte, Atul J.
    [J]. IMMUNOLOGIC RESEARCH, 2014, 58 (2-3) : 234 - 239
  • [5] Safety and Activity of Anti-PD-L1 Antibody in Patients with Advanced Cancer
    Brahmer, Julie R.
    Tykodi, Scott S.
    Chow, Laura Q. M.
    Hwu, Wen-Jen
    Topalian, Suzanne L.
    Hwu, Patrick
    Drake, Charles G.
    Camacho, Luis H.
    Kauh, John
    Odunsi, Kunle
    Pitot, Henry C.
    Hamid, Omid
    Bhatia, Shailender
    Martins, Renato
    Eaton, Keith
    Chen, Shuming
    Salay, Theresa M.
    Alaparthy, Suresh
    Grosso, Joseph F.
    Korman, Alan J.
    Parker, Susan M.
    Agrawal, Shruti
    Goldberg, Stacie M.
    Pardoll, Drew M.
    Gupta, Ashok
    Wigginton, Jon M.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2012, 366 (26) : 2455 - 2465
  • [6] Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade
    Charoentong, Pornpimol
    Finotello, Francesca
    Angelova, Mihaela
    Mayer, Clemens
    Efremova, Mirjana
    Rieder, Dietmar
    Hackl, Hubert
    Trajanoski, Zlatko
    [J]. CELL REPORTS, 2017, 18 (01): : 248 - 262
  • [7] The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
    Curtis, Christina
    Shah, Sohrab P.
    Chin, Suet-Feung
    Turashvili, Gulisa
    Rueda, Oscar M.
    Dunning, Mark J.
    Speed, Doug
    Lynch, Andy G.
    Samarajiwa, Shamith
    Yuan, Yinyin
    Graef, Stefan
    Ha, Gavin
    Haffari, Gholamreza
    Bashashati, Ali
    Russell, Roslin
    McKinney, Steven
    Langerod, Anita
    Green, Andrew
    Provenzano, Elena
    Wishart, Gordon
    Pinder, Sarah
    Watson, Peter
    Markowetz, Florian
    Murphy, Leigh
    Ellis, Ian
    Purushotham, Arnie
    Borresen-Dale, Anne-Lise
    Brenton, James D.
    Tavare, Simon
    Caldas, Carlos
    Aparicio, Samuel
    [J]. NATURE, 2012, 486 (7403) : 346 - 352
  • [8] Breast cancer statistics, 2019
    DeSantis, Carol E.
    Ma, Jiemin
    Gaudet, Mia M.
    Newman, Lisa A.
    Miller, Kimberly D.
    Sauer, Ann Goding
    Jemal, Ahmedin
    Siegel, Rebecca L.
    [J]. CA-A CANCER JOURNAL FOR CLINICIANS, 2019, 69 (06) : 438 - 451
  • [9] Nivolumab for Recurrent Squamous-Cell Carcinoma of the Head and Neck
    Ferris, R. L.
    Blumenschein, G., Jr.
    Fayette, J.
    Guigay, J.
    Colevas, A. D.
    Licitra, L.
    Harrington, K.
    Kasper, S.
    Vokes, E. E.
    Even, C.
    Worden, F.
    Saba, N. F.
    Iglesias Docampo, L. C.
    Haddad, R.
    Rordorf, T.
    Kiyota, N.
    Tahara, M.
    Monga, M.
    Lynch, M.
    Geese, W. J.
    Kopit, J.
    Shaw, J. W.
    Gillison, M. L.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2016, 375 (19) : 1856 - 1867
  • [10] Corrgrams: Exploratory displays for correlation matrices
    Friendly, M
    [J]. AMERICAN STATISTICIAN, 2002, 56 (04) : 316 - 324