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Septin 9 methylation analysis of lymph node micrometastases for predicting relapse of colorectal cancer.

Authors :
Wan Y
Liang JJ
Luo XJ
Zhu XJ
He JL
Wang SB
Zhao YY
Zeng D
Zhang L
Tang XK
Source :
Annals of diagnostic pathology [Ann Diagn Pathol] 2022 Oct; Vol. 60, pp. 152021. Date of Electronic Publication: 2022 Aug 03.
Publication Year :
2022

Abstract

Background: Molecular markers for the detection of lymph node micrometastases of malignant tumors have been extensively investigated. However, epigenetic signatures have rarely been reported for identification of metastatic lymph nodes and disease relapse. Septin 9 is the most frequently reported hypermethylated gene in colorectal cancer (CRC). This study aimed to assess the clinical relevance of Septin 9 methylation in regional lymph nodes in recurrence/metastases of CRC.<br />Methods: We analyzed Septin 9 methylation of DNA from resected lymph nodes in 75 CRC patients with or without tumor recurrence using quantitative methylation-sensitive PCR (qMS-PCR).<br />Results: Of the 30 histologically negative lymph node CRC patients without recurrence (group 1), methylated Septin 9 was detected in 3 (10 %) cases. The positivity rate of methylated Septin 9 in group 2 containing 30 histologically node-negative CRC patients with recurrence was 30 % (9/30). For group 3, lymphatic invasion as well as tumor recurrence, 11 (73 %) out of 15 subjects had Septin 9 methylation-positive lymph nodes. Moreover, patients in group 3 had a higher level of methylated Septin 9 compared to subjects in group 1 and group 2 (p < 0.05). In addition, CRC patients with Septin 9 methylation in lymph nodes had significantly reduced survival (Log-rank P < 0.0001).<br />Conclusion: Our data support the predictive role of Septin 9 methylation analysis of lymph node micrometastases for tumor relapse after surgery.<br />Competing Interests: Declaration of competing interest The authors declare no competing interests.<br /> (Copyright © 2022 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1532-8198
Volume :
60
Database :
MEDLINE
Journal :
Annals of diagnostic pathology
Publication Type :
Academic Journal
Accession number :
35939880
Full Text :
https://doi.org/10.1016/j.anndiagpath.2022.152021