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. 2022 May 6;22(1):182.
doi: 10.1186/s12935-022-02603-0.

Myeloid cell leukemia-1 expression in cancers of the oral cavity: a scoping review

Su-Jung Choi #  1 , Neeti Swarup #  1 , Ji-Ae Shin  1 , Seong-Doo Hong  1 , Sung-Dae Cho  2
Affiliations

Myeloid cell leukemia-1 expression in cancers of the oral cavity: a scoping review

Su-Jung Choi et al. Cancer Cell Int. .

Abstract

Background: B cell lymphoma-2 (Bcl-2) family members play important roles in cell survival as well as cell death. The role of myeloid cell leukemia-1 (Mcl-1), an important member of the Bcl-2 family, is well established in hematopoietic malignancies. However, the association between Mcl-1 and oral cavity, cancers is not clearly defined.

Methods: A scoping review was conducted until June 30, 2021, using four major databases, PubMed, Scopus, Web of Science, and Embase. Medical subject headings keywords for Mcl-1, along with its other identifiers, and head and neck cancers (only oral cavity tumors) were used to evaluate the expression, function, molecular association, and therapeutic approach of Mcl-1 in oral cavity cancers and precancers.

Findings: Mcl-1 expression was associated with the progression of oral cavity cancers. The molecular mechanism and pathways of Mcl-1 in oral cavity cancers established via experimental results have been highlighted in this review. Moreover, the various synthetic and naturally derived therapeutic agents targeting Mcl-1 have been documented.

Novelty/improvement: Based on our present review, Mcl-1 appears to be an effective anticancer target that can be used in the therapeutic management of oral cancers.

Keywords: Agents targeting Mcl-1; Cancer; Mcl-1; Oral cavity.

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Conflict of interest statement

The authors declare the absence of any competing interests.

Figures

Fig. 1
Fig. 1
PRISMA flow chart of the scoping review. Summary of evidence search and selection
Fig. 2
Fig. 2
Scamper diagram showing Mcl-1 expression in oral cavity cancers and association with various clinicopathological features
Fig. 3
Fig. 3
STRING protein–protein interaction (PPI) analyses. PPI network connectivity for proteins identified following the review. Nodes represent the proteins required for interaction. Edges represent the associations between the proteins. The STRING web resource (http://www.stringdb.org) was used in the prediction of the PPI (Protein–Protein Interaction) network whereby an interaction score of > 0.900 denoted a significant interactive relationship
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