Literature DB >> 31892568

The Significance of Molecular Biomarkers on Clinical Survival Outcome Differs Depending on Colon Cancer Sidedness.

Sho Hirabayashi1, Masamichi Hayashi2, Goro Nakayama1, Shinji Mii3, Norifumi Hattori1, Hiroshi Tanabe1, Mitsuro Kanda1, Chie Tanaka1, Daisuke Kobayashi1, Suguru Yamada1, Masahiko Koike1, Michitaka Fujiwara1, Masahide Takahashi3, Yasuhiro Kodera1.   

Abstract

BACKGROUND/AIM: This retrospective study focused on the correlation between molecular markers and prognostic outcomes of colon cancer patients depending on sidedness.
MATERIALS AND METHODS: A total of 117 stage I-III colon cancer patients who underwent colectomy were enrolled. Novel methylation markers (KIF1A, PAX5 and VGF) were selected for epigenetic evaluation and p53 and ERCC1 protein expression was examined for the investigation of genetic alterations.
RESULTS: High frequency of methylation was observed in 68.2% of right-sided and 39.7% of left-sided colon cancer cases (p=0.004). Abnormal p53 was identified in 52.3% of right-sided and 75.3% of left-sided cases (p=0.015). In right-sided cases, highly methylated genes demonstrated significantly favorable disease-free survival (p=0.049). Regarding left-sided cases, advanced T stage (p=0.028) and abnormal p53 (p=0.028) were revealed to be significant predictive factors of the disease-free survival outcome.
CONCLUSION: Molecular alterations, as significant prognostic factors, might differ depending on the sidedness of colon cancers. Copyright
© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

Entities:  

Keywords:  Methylation; colon cancer; p53; prognosis; sidedness

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Year:  2020        PMID: 31892568     DOI: 10.21873/anticanres.13941

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  1 in total

1.  TRIM29 is differentially expressed in colorectal cancers of different primary locations and affects survival by regulating tumor immunity based on retrospective study and bioinformatics analysis.

Authors:  Jing Han; Jing Zuo; Xue Zhang; Long Wang; Dan Li; Yudong Wang; Jiayin Liu; Li Feng
Journal:  J Gastrointest Oncol       Date:  2022-06
  1 in total

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