Immune activity in Merkel cell carcinoma

被引:6
|
作者
Nakamura, Motoki [1 ]
Morita, Akimichi [1 ]
机构
[1] Nagoya City Univ, Dept Geriatr & Environm Dermatol, Grad Sch Med Sci, Nagoya, Aichi, Japan
关键词
biomarker; glucose-6-phosphate dehydrogenase; immune checkpoint inhibitor; Merkel cell carcinoma; programmed death ligand 1; TERTIARY LYMPHOID STRUCTURES; PD-L1; EXPRESSION; SPONTANEOUS REGRESSION; UNKNOWN PRIMARY; POLYOMAVIRUS; TUMOR; SURVIVAL; CANCER; ASSOCIATION; DIAGNOSIS;
D O I
10.1111/1346-8138.16232
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Merkel cell carcinoma (MCC) is widely known as a highly malignant skin cancer. The pathogenesis of MCC, however, remains mysterious due to the extremely small number of cases and its prevalence in the elderly. Despite its high-grade malignancy, spontaneous regression occurs with some frequency. The immune activity of the tumor underlies this peculiar behavior. In recent years, immune checkpoint blockade therapies, including the anti-programmed death ligand 1 antibody, have provided successful results. These therapies, however, are ineffective in approximately half the patients with advanced MCC and few treatments are available for those patients. In this review, we summarize the increasing body of evidence relating to the immune activity of MCC and immunological biomarkers. The interesting and sometimes peculiar behavior of MCC, such as their spontaneous regression, is largely due to their high immunosensitivity. Understanding the tumor immunokinetics of MCC should provide critical insight for understanding cancer immunotherapy. Here, we introduce a new classification for MCC according to its immune activity. Combined application of programmed death ligand 1 (a prognostic factor and predictor of the efficacy of immune checkpoint inhibitors in various cancers) with glucose-6-phosphate dehydrogenase (a new promising biomarker for MCC) may enable classification of MCC based on its immune status. Whether the new classification can be used to predict the efficacy of immune checkpoint blockade therapies remains to be evaluated in future studies, but the classification may facilitate future treatment selection.
引用
收藏
页码:68 / 74
页数:7
相关论文
共 50 条
  • [1] An update on Merkel cell carcinoma
    Becker, Juergen C.
    Stang, Andreas
    Schrama, David
    Gutzmer, Ralf
    Ugurel, Selma
    ONKOLOGIE, 2024, 30 (09): : 863 - 872
  • [2] A morphological and immunophenotypic map of the immune response in Merkel cell carcinoma
    Walsh, Noreen M.
    Fleming, Kirsten E.
    Hanly, John G.
    Hache, Kelly Dakin
    Doucette, Steve
    Ferrara, Gerardo
    Cerroni, Lorenzo
    HUMAN PATHOLOGY, 2016, 52 : 190 - 196
  • [3] Merkel cell carcinoma
    Fried, I.
    Cerroni, L.
    PATHOLOGE, 2014, 35 (05): : 467 - 475
  • [4] The prognostic significance of PD-L1 expression on tumor and immune cells in Merkel cell carcinoma
    Guenole, Morgan
    Benigni, Paolo
    Bourbonne, Vincent
    Lucia, Francois
    Legoupil, Delphine
    Pradier, Olivier
    Misery, Laurent
    Uguen, Arnaud
    Schick, Ulrike
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2021, 147 (09) : 2569 - 2578
  • [5] Immunotherapy for Merkel Cell Carcinoma
    Nagase, Kotaro
    Narisawa, Yutaka
    CURRENT TREATMENT OPTIONS IN ONCOLOGY, 2018, 19 (11)
  • [6] T-Cell Mediated Immunity in Merkel Cell Carcinoma
    Ouyang, Kelsey
    Zheng, David X.
    Agak, George W.
    CANCERS, 2022, 14 (24)
  • [7] Merkel Cell Carcinoma Review
    Xue, Yun
    Thakuria, Manisha
    HEMATOLOGY-ONCOLOGY CLINICS OF NORTH AMERICA, 2019, 33 (01) : 39 - +
  • [8] Molecular and immune targets for Merkel cell carcinoma therapy and prevention
    Cohen, Leah
    Tsai, Kenneth Y.
    MOLECULAR CARCINOGENESIS, 2019, 58 (09) : 1602 - 1611
  • [9] Dissecting the tumour immune microenvironment in merkel cell carcinoma based on a machine learning framework
    Cheng, Shaowen
    Li, Si
    Yang, Ping
    Wang, Rong
    Zhou, Ping
    Li, Jingquan
    ARTIFICIAL CELLS NANOMEDICINE AND BIOTECHNOLOGY, 2023, 51 (01) : 397 - 407
  • [10] Merkel Cell Carcinoma Therapeutic Update
    Cassler, Nicole M.
    Merrill, Dean
    Bichakjian, Christopher K.
    Brownell, Isaac
    CURRENT TREATMENT OPTIONS IN ONCOLOGY, 2016, 17 (07)