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Frontiers in Bioscience-Landmark
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Frontiers in Bioscience-Landmark
Article . 2023
Data sources: DOAJ
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TP53 Mutations in Esophageal Squamous Cell Carcinoma

Authors: Leqi Zhong; Hongmu Li; Wuguang Chang; Yong Ao; Zhesheng Wen; Youfang Chen;

TP53 Mutations in Esophageal Squamous Cell Carcinoma

Abstract

The occurrence and development of esophageal cancer involve multiple genetic abnormalities that contribute to the malignant transformation of esophageal epithelial cells, followed by invasion and metastasis, leading to a poor outcome. Esophageal squamous cell carcinoma (ESCC) is the predominant histological subtype of esophageal malignancy in East Asia, with approximately half of newly diagnosed ESCC cases occurring in China. The TP53 tumor suppressor gene mutation is one of the most common mutations in ESCC. TP53 mutations are observed even in the early phases of esophageal carcinogenesis. Normal functions of the p53 network are lost in cells of ESCC patients who harbor the mutant TP53 gene, inducing tumor development, radiation resistance, chemotherapy resistance, and immune suppression, promoting progression and metastasis, thereby resulting in an overall poor prognosis. Although clinical trials of several pharmacological compounds targeting mutational TP53 have been explored, novel approaches are still urgently required to improve the observed dismal survival. A better understanding of the role of the mutant TP53 gene in human ESCC might lead to the discovery of innovative targeted therapies to treat this malignancy.

Related Organizations
Keywords

China, Esophageal Neoplasms, QH301-705.5, QD415-436, Biochemistry, tp53 mutations, targeted therapies, esophageal squamous cell carcinoma, Mutation, Humans, Esophageal Squamous Cell Carcinoma, Biology (General), Tumor Suppressor Protein p53

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Top 10%
Average
Top 10%
gold
Related to Research communities
Cancer Research