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SFRP4 drives invasion in gastric cancer and is an early predictor of recurrence

Authors
 Rita A Busuttil  ;  Joshy George  ;  Colin M House  ;  Stephen Lade  ;  Catherine Mitchell  ;  Natasha S Di Costanzo  ;  Sharon Pattison  ;  Yu-Kuan Huang  ;  Patrick Tan  ;  Jae-Ho Cheong  ;  Sun Young Rha  ;  Alex Boussioutas 
Citation
 GASTRIC CANCER, Vol.24(3) : 589-601, 2021-05 
Journal Title
GASTRIC CANCER
ISSN
 1436-3291 
Issue Date
2021-05
MeSH
Adult ; Aged ; Aged, 80 and over ; Biomarkers, Tumor / metabolism* ; Cohort Studies ; Female ; Humans ; Lymphatic Metastasis ; Male ; Middle Aged ; Neoplasm Recurrence, Local / pathology ; Neoplasm Recurrence, Local / surgery* ; Predictive Value of Tests ; Proto-Oncogene Proteins / metabolism* ; Stomach Neoplasms / pathology ; Stomach Neoplasms / surgery*
Keywords
Biomarker ; Gastric cancer ; Invasion ; Recurrence ; SFRP4
Abstract
Objective: Gastric cancer patients generally have a poor outcome, particularly those with advanced-stage disease which is defined by the increased invasion of cancer locally and is associated with higher metastatic potential. This study aimed to identify genes that were functional in the most fundamental hallmark of cancer, namely invasion. We then wanted to assess their value as biomarkers of gastric cancer progression and recurrence.

Design: Data from a cohort of patients profiled on cDNA expression arrays was interrogated using K-means analysis. This genomic approach classified the data based on patterns of gene expression allowing the identification of the genes most correlated with the invasion of GC. We evaluated the functional role of a key protein from this analysis in invasion and as a biomarker of recurrence after curative resection.

Results: Expression of secreted frizzled-related protein 4 (SFRP4) was identified as directly proportional to gastric cancer invasion. This finding was validated in multiple, independent datasets and its functional role in invasion was also confirmed using invasion assays. A change in serum levels of SFRP4 after curative resection, when coupled with AJCC stage, can accurately predict the risk of disease recurrence after curative therapy in an assay we termed PredictR.

Conclusions: This simple ELISA-based assay can help predict recurrence of disease after curative gastric cancer surgery irrespective of adjuvant therapy. The results require further evaluation in a prospective trial but would help in the rational prescription of cancer therapies and surveillance to prevent under or over treatment of patients after curative resection.
Files in This Item:
T202125801.pdf Download
DOI
10.1007/s10120-020-01143-8
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Rha, Sun Young(라선영) ORCID logo https://orcid.org/0000-0002-2512-4531
Cheong, Jae Ho(정재호) ORCID logo https://orcid.org/0000-0002-1703-1781
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/188198
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