MUC1 in Cancer Immunotherapy - New Hope or Phantom Menace?


Journal

Biochemistry. Biokhimiia
ISSN: 1608-3040
Titre abrégé: Biochemistry (Mosc)
Pays: United States
ID NLM: 0376536

Informations de publication

Date de publication:
Jul 2019
Historique:
entrez: 12 9 2019
pubmed: 12 9 2019
medline: 18 12 2019
Statut: ppublish

Résumé

Understanding of the functioning of MUC1 (human mucin) has advanced significantly over 40 years of its investigation. The anti-adhesive properties of the extracellular domain, which were the main focus of early studies initially explaining overexpression of MUC1 in progressing oncological diseases, were gradually put on the back burner. Researchers became more interested in its regulatory and signaling functions in cells rather in its anti-adhesive properties. The found the ability of MUC1 for signal transduction, and its ability to participate in cell metabolism opened new possibilities for improved control over cancer cells in addition to just attracting antigens of the immune system to a target. Nevertheless, there are issues in the functioning of MUC1 that raise doubts about its effectiveness in cancer immunotherapy.

Identifiants

pubmed: 31509728
pii: BCM84070985
doi: 10.1134/S0006297919070083
doi:

Substances chimiques

Biomarkers, Tumor 0
Immunosuppressive Agents 0
MUC1 protein, human 0
Mucin-1 0
Protein Isoforms 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

773-781

Auteurs

M S Syrkina (MS)

Lomonosov Moscow State University, Department of Biology, Moscow, 119234, Russia. krimsy@yandex.ru.
Lomonosov Moscow State University, Laboratoire Franco-Russe de Recherches en Oncologie, Moscow, 119234, Russia.

M A Rubtsov (MA)

Lomonosov Moscow State University, Department of Biology, Moscow, 119234, Russia. ma_rubtsov@mail.ru.
Lomonosov Moscow State University, Laboratoire Franco-Russe de Recherches en Oncologie, Moscow, 119234, Russia.
Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119991, Russia.

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Classifications MeSH