LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis
Globally, esophageal cancer (ECA) is the seventh most common cancer and sixth most common cause of cancer-associated mortality. However, there are no reliable prognostic and predictive molecular markers for ECA; in addition, the pathogenesis of ECA is not fully elucidated. The expressions of circula...
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Frontiers Media S.A.
2021
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oai:doaj.org-article:5322fa70e0aa437284eb17129d83d5032021-11-18T06:06:18ZLIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis1664-802110.3389/fgene.2021.774432https://doaj.org/article/5322fa70e0aa437284eb17129d83d5032021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.774432/fullhttps://doaj.org/toc/1664-8021Globally, esophageal cancer (ECA) is the seventh most common cancer and sixth most common cause of cancer-associated mortality. However, there are no reliable prognostic and predictive molecular markers for ECA; in addition, the pathogenesis of ECA is not fully elucidated. The expressions of circular RNAs (circRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) of ECA and control groups were obtained from the RNA-sequencing (RNA-seq) data of our hospital, the Gene Expression Omnibus (GEO), and The Cancer Genome Atlas (TCGA) datasets. Analyses of differentially expressed genes, the circRNA–miRNA–mRNA–competing endogenous RNA (ceRNA) network, and functional/pathway enrichment were conducted. The key targets in the ceRNA network that showed significant results in survival Cox regression analyses were selected. Furthermore, analyses of immune infiltration and autophagy genes related to the key targets were performed. Seven circRNAs, 22 miRNAs, and 34 mRNAs were identified as vital genes in ECA; the nuclear factor-κ-gene binding (NF-κB) and phosphatidylinositol-3 kinase/protein kinase B (PI3K-Akt) signaling were identified as the most enriched pathways. In addition, the LIM domain containing 2 (LIMD2) was an independent predictor of prognosis in ECA patients and closely associated with immunity and autophagy. Moreover, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) revealed significant upregulation of LIMD2 expression in ECA tissues. ECA may be closely correlated with NF-κB and PI3K/Akt signaling. In addition, LIMD2 could be a potential prognostic and predictive marker of ECA.Yuanmei ChenXinyi HuangKunshou ZhuChangkun LiHaiyan PengLin ChenZhengrong HuangYangfan ZhangGuibin WengTianya XiaoJunqiang ChenYuanji XuFrontiers Media S.A.articleesophageal cancercompeting endogenous RNALIM domain containingprognosticpredictiveGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
esophageal cancer competing endogenous RNA LIM domain containing prognostic predictive Genetics QH426-470 |
| spellingShingle |
esophageal cancer competing endogenous RNA LIM domain containing prognostic predictive Genetics QH426-470 Yuanmei Chen Xinyi Huang Kunshou Zhu Changkun Li Haiyan Peng Lin Chen Zhengrong Huang Yangfan Zhang Guibin Weng Tianya Xiao Junqiang Chen Yuanji Xu LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| description |
Globally, esophageal cancer (ECA) is the seventh most common cancer and sixth most common cause of cancer-associated mortality. However, there are no reliable prognostic and predictive molecular markers for ECA; in addition, the pathogenesis of ECA is not fully elucidated. The expressions of circular RNAs (circRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) of ECA and control groups were obtained from the RNA-sequencing (RNA-seq) data of our hospital, the Gene Expression Omnibus (GEO), and The Cancer Genome Atlas (TCGA) datasets. Analyses of differentially expressed genes, the circRNA–miRNA–mRNA–competing endogenous RNA (ceRNA) network, and functional/pathway enrichment were conducted. The key targets in the ceRNA network that showed significant results in survival Cox regression analyses were selected. Furthermore, analyses of immune infiltration and autophagy genes related to the key targets were performed. Seven circRNAs, 22 miRNAs, and 34 mRNAs were identified as vital genes in ECA; the nuclear factor-κ-gene binding (NF-κB) and phosphatidylinositol-3 kinase/protein kinase B (PI3K-Akt) signaling were identified as the most enriched pathways. In addition, the LIM domain containing 2 (LIMD2) was an independent predictor of prognosis in ECA patients and closely associated with immunity and autophagy. Moreover, quantitative reverse-transcription polymerase chain reaction (qRT-PCR) revealed significant upregulation of LIMD2 expression in ECA tissues. ECA may be closely correlated with NF-κB and PI3K/Akt signaling. In addition, LIMD2 could be a potential prognostic and predictive marker of ECA. |
| format |
article |
| author |
Yuanmei Chen Xinyi Huang Kunshou Zhu Changkun Li Haiyan Peng Lin Chen Zhengrong Huang Yangfan Zhang Guibin Weng Tianya Xiao Junqiang Chen Yuanji Xu |
| author_facet |
Yuanmei Chen Xinyi Huang Kunshou Zhu Changkun Li Haiyan Peng Lin Chen Zhengrong Huang Yangfan Zhang Guibin Weng Tianya Xiao Junqiang Chen Yuanji Xu |
| author_sort |
Yuanmei Chen |
| title |
LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| title_short |
LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| title_full |
LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| title_fullStr |
LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| title_full_unstemmed |
LIMD2 is a Prognostic and Predictive Marker in Patients With Esophageal Cancer Based on a ceRNA Network Analysis |
| title_sort |
limd2 is a prognostic and predictive marker in patients with esophageal cancer based on a cerna network analysis |
| publisher |
Frontiers Media S.A. |
| publishDate |
2021 |
| url |
https://doaj.org/article/5322fa70e0aa437284eb17129d83d503 |
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