149
Views
0
CrossRef citations to date
0
Altmetric
Articles

Type 2 Diabetes Associated with Abnormal p53 Immunohistochemical Patterns in Colorectal Cancer

, , &
Pages 73-83 | Received 25 Sep 2020, Accepted 13 Nov 2020, Published online: 03 Dec 2020
 

Abstract

Abnormal p53 immunohistochemical pattern (p53-AP) including overexpression, complete absence and heterogeneity is surrogate of TP53 mutation. Using 742 cases of colorectal cancer (CRC), we show p53-AP is more common among type 2 diabetes (T2DM) patients than non-T2DM. Univariately, T2DM was significantly associated with p53-AP in overall patients, patients with microsatellite instability (MSI) stable/MSI-low phenotype or distal colorectal location. Furthermore, p53-AP was positively associated with lymph node metastasis and high TNM stage. Metformin treatment was negatively associated with p53-AP in T2DM patients. The results suggested T2DM might influence carcinogenesis, progression and prognosis via inducing TP53 mutation and abnormal p53 expression in CRC.

Author contributions

YZ designed the study and wrote the paper; MJ collected and analyzed the data; ZX and QG performed the research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

The data used in the study are available from the corresponding author on reasonable request.

Additional information

Funding

Natural Science Foundation of Zhejiang Province of China (No. LY18H160044); Zhejiang Medical  Technology Plan Project  (No. 2019KY024).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,193.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.