CCNE1 Gene Amplification Might Be Associated with Lymph Node Metastasis of Gastric Cancer

<b>Background</b>: Lymph node (LN) metastasis is one of the most frequent metastatic patterns in patients with gastric cancer (GC); however, few genes predictive of LN status in GC have been identified. <b>Aims</b>: We aimed to identify candidate genes associated with LN metastasis by analyzing the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database and performing immunohistochemical analysis of GC cases at our hospital. <b>Patients and Methods</b>: A total of 2028 GCs from the C-CAT database were enrolled to identify genetic alterations. A total of 360 GC patients who underwent gastrectomy at our hospital were enrolled to examine the clinical significance of CCNE1 expression via an immunohistochemical study. <b>Results</b>: A total of 977 cases out of 2028 GC patients showed LN metastasis. Genetic alterations of ERBB2, CCNE1, MYC, ZNF217, and GNAS were frequent in the LN metastasis group. CCNE1-positive expression was found in 108 (30.0%) of the 360 GC samples. LN metastasis was significantly (<i>p</i> = 0.01) more frequent in CCNE1-positive patients. In addition, the CCNE1-positive group had a significantly (<i>p</i> < 0.001) poorer prognosis than the CCNE1-negative group, which was especially evident for GC patients at stage I. CCNE1 positivity was significantly (<i>p</i> < 0.001) correlated with postoperative recurrence. <b>Conclusions</b>: CCNE1 gene amplification is associated with LN metastasis of GC.

Authors

Institutions

Publication Details

Journal
Genes
Published
2025-05-22
DOI
https://doi.org/10.3390/genes16060617
Primary Topic
Hedgehog Signaling Pathway Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CCNE1 Gene Amplification Might Be Associated with Lymph Node Metastasis of Gastric Cancer

Daiki Imanishi, Yurie Yamamoto, Tomoya Sano, Masakazu Yashiro et al.
1 links
Genes
Hedgehog Signaling Pathway Studies
article

CCNE1 Gene Amplification Might Be Associated with Lymph Node Metastasis of Gastric Cancer

Daiki Imanishi, Yurie Yamamoto, Tomoya Sano, Masakazu Yashiro, Saki Kanei, Canfeng Fan, Takashi Sakuma, Koji Maruo, Rika Aoyama, Hinano Nishikubo, Kyoka Kawabata
article en

Abstract

<b>Background</b>: Lymph node (LN) metastasis is one of the most frequent metastatic patterns in patients with gastric cancer (GC); however, few genes predictive of LN status in GC have been identified. <b>Aims</b>: We aimed to identify candidate genes associated with LN metastasis by analyzing the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database and performing immunohistochemical analysis of GC cases at our hospital. <b>Patients and Methods</b>: A total of 2028 GCs from the C-CAT database were enrolled to identify genetic alterations. A total of 360 GC patients who underwent gastrectomy at our hospital were enrolled to examine the clinical significance of CCNE1 expression via an immunohistochemical study. <b>Results</b>: A total of 977 cases out of 2028 GC patients showed LN metastasis. Genetic alterations of ERBB2, CCNE1, MYC, ZNF217, and GNAS were frequent in the LN metastasis group. CCNE1-positive expression was found in 108 (30.0%) of the 360 GC samples. LN metastasis was significantly (<i>p</i> = 0.01) more frequent in CCNE1-positive patients. In addition, the CCNE1-positive group had a significantly (<i>p</i> < 0.001) poorer prognosis than the CCNE1-negative group, which was especially evident for GC patients at stage I. CCNE1 positivity was significantly (<i>p</i> < 0.001) correlated with postoperative recurrence. <b>Conclusions</b>: CCNE1 gene amplification is associated with LN metastasis of GC.

GenesVol. 16(6)
Osaka Metropolitan University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 90%
Hedgehog Signaling Pathway Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.