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Novel Molecular classification of colorectal cancer and correlation with survival

Hussian Mangi, Fayaz, Ahmed Shaikh, Tanweer, Soria, Daniele, Muhammad Waryah, Ali, Din Ujjan, Ikram, Naeem Qureshi, Jawaid, Manzoor Syed, Binafsha (2022) Novel Molecular classification of colorectal cancer and correlation with survival. Saudi Journal of Biological Sciences, . ISSN 1319-562X. (doi:10.1016/j.sjbs.2022.03.014) (KAR id:93613)

Abstract

Colorectal cancer (CRC) is one of the most common cancers worldwide. This study was designed to evaluate biological patterns, explore molecular classification and correlate with survival outcome in treatment naïve CRC patients.

Methods

Over 11 years consecutive series of 435 CRC patients were operated on as primary surgical therapy. A total of 201 CRC patients were included, whose complete set of clinical information was available, and their good quality tumour blocks were retrieved. Immunohistochemistry was used for tumour analysis, and partitional clustering was performed using R software for cluster analysis.

Results

The median age was 43 (range 10-85) years; adenocarcinoma was the most commonly seen histological type. The great majority had positive CK20, CEA, E-Cadherin, Ki67, CDX2, and p53 expression. There were four distinct molecular classes found, whereas Ki67, CDX2, and p53 play 3 the main role in partitioning. Younger age negatively impacted survival; overall and diseasespecific survival was 26 months only with 50 months’ longest survival.

Conclusion

Colorectal cancer is a biologically heterogeneous disease with at least four distinct molecular patterns, where cell proliferation and gene repair mechanisms appear to play the key role.

Item Type: Article
DOI/Identification number: 10.1016/j.sjbs.2022.03.014
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Daniel Soria
Date Deposited: 16 Mar 2022 09:44 UTC
Last Modified: 16 Mar 2022 09:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/93613 (The current URI for this page, for reference purposes)

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