2023
DOI: 10.3389/fcell.2022.1086835
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Angiogenesis-related gene signatures reveal the prognosis of cervical cancer based on single cell sequencing and co-expression network analysis

Abstract: Cervical cancer ranks first in female reproductive tract tumors in terms of morbidity and mortality. Yet the curative effect of patients with persistent, recurrent or metastatic cervical cancer remains unsatisfactory. Although antitumor angiogenic drugs have been recommended as the first-line treatment options for cervical cancer, there are no comprehensive prognostic indicators for cervical cancer based on angiogenic signature genes. In this study, we aimed to develop a model to assess the prognosis of cervic… Show more

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Cited by 8 publications
(6 citation statements)
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“…Currently, there are numerous HNSC prognostic models, including those for iron, cellular focal, and copper death. Evidence has emerged to indicate that prognostic models produced by AAGs could be advantageous in evaluating the prognosis of patients with tumors such as gastric adenocarcinoma [ 27 ], cervical cancer [ 28 ], and glioma [ 29 ]. However, additional research is necessary to examine the efficiency of AAGs in the HNSC context.…”
Section: Discussionmentioning
confidence: 99%
“…Currently, there are numerous HNSC prognostic models, including those for iron, cellular focal, and copper death. Evidence has emerged to indicate that prognostic models produced by AAGs could be advantageous in evaluating the prognosis of patients with tumors such as gastric adenocarcinoma [ 27 ], cervical cancer [ 28 ], and glioma [ 29 ]. However, additional research is necessary to examine the efficiency of AAGs in the HNSC context.…”
Section: Discussionmentioning
confidence: 99%
“…After screening, samples without significant clinical data or with overall survival (OS) less than 90 days ( 13 ) were filtered out from further analysis. Moreover, AAGs were sourced from the MSigDB Team ( http://www.broad.mit.edu/gsea/msigdb/ ) and pertinent literature ( 14 - 16 ), and are displayed in Table S1 . Leveraging RNA-seq data from TCGA-colon adenocarcinoma (COAD) specimens accessed via UCSC Xena, all AAGs were discerned through the application of the limma package [P<0.05, |log 2 fold change (FC)| >1].…”
Section: Methodsmentioning
confidence: 99%
“…TXNDC12 is highly expressed in cervical cancer cell lines and tissues and higher levels of expression are associated with a poor prognosis. TXNDC12 promotes the migration of cervical cancer cells and formation of endothelial cells 16 . In gastric cancer, TXNDC12 promotes tumor growth, migration, and invasion 17 .…”
Section: Introductionmentioning
confidence: 99%
“…TXNDC12 promotes the migration of cervical cancer cells and formation of endothelial cells. 16 In gastric cancer, TXNDC12 promotes tumor growth, migration, and invasion. 17 In contrast, low TXNDC12 expression is associated with poor prognosis in patients with lung adenocarcinoma.…”
Section: Introductionmentioning
confidence: 99%