Liquid biopsy for esophageal cancer: Is detection of circulating cell‐free DNA as a biomarker feasible?

Yuan, Zuyang; Wang, Xinfeng; Geng, Xiao; Li, Yin; Mu, Jianjun; Tan, Fengwei; Xue, Qi; Gao, Shugeng; He, Jie

doi:10.1002/cac2.12118

Cited by 21 publications

(15 citation statements)

References 86 publications

(147 reference statements)

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“…The most frequently identified TP53 somatic mutations are R175H, R282W, Y220C, R213 * , R248Q, R248W, R273H, and R342 * (51). Of these, R175H, R248Q, R248W, and R273H somatic alterations are also the most frequently encountered TP53 alterations in HNSCC (18,67). A recent systematic review has presented the clinical utility of circulating cfDNA as a novel biomarker for esophageal cancer (67).…”

Section: Cell-free Dna and Ctdna In Esccmentioning

confidence: 99%

“…Of these, R175H, R248Q, R248W, and R273H somatic alterations are also the most frequently encountered TP53 alterations in HNSCC (18,67). A recent systematic review has presented the clinical utility of circulating cfDNA as a novel biomarker for esophageal cancer (67). In total, 59 abstracts and 20 full papers have been reviewed including ESCC and esophageal adenocarcinoma cases.…”

Section: Cell-free Dna and Ctdna In Esccmentioning

confidence: 99%

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Liquid Biopsy in Squamous Cell Carcinoma of the Esophagus and of the Head and Neck

et al. 2022

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Squamous cell carcinomas of the esophagus (ESCC) and of the head and neck (HNSCC) are two neoplasms that share common risk factors and have the same embryological origin, but a very different prognosis, the 5-year survival of HNSCC being almost double (40–50%) compared to the 5-year survival of ESCC (20%). Current guidelines emphasize the importance of screening for ESCC in patients diagnosed with head and neck cancers. A liquid biopsy is a novel tool for diagnosis, prognostic stratification, and personalized therapy. Liquid biopsy biomarkers for these two malignancies could help both their early detection, facilitate residual disease identification, and provide prognosis information. The present systematic review of the literature was aimed at describing the liquid biopsy biomarkers present in these two malignancies, with an emphasis on potential clinical applications.

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Section: Cell-free Dna and Ctdna In Esccmentioning

confidence: 99%

Section: Cell-free Dna and Ctdna In Esccmentioning

confidence: 99%

Liquid Biopsy in Squamous Cell Carcinoma of the Esophagus and of the Head and Neck

et al. 2022

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“…Due to the lack of speci c clinical symptoms, ESCC in early stages is usually ignored by patients (7), (8), (9). Sadly, with high metastasis and recurrence rates, the prognosis of ESCC patients in advanced stages is extremely awful (10), (11), (12).…”

Section: Introductionmentioning

confidence: 99%

The Clinical Significance of Forkhead Box M1 in Esophageal Squamous Cell Carcinoma Tissues: A Study Based on In-house Immunohistochemistry, RNA-sequencing, and Data Mining

Huang

et al. 2022

Preprint

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BackgroundEsophageal squamous cell carcinoma (ESCC) ranks the sixth in mortality rates in cancers due to a lack of a specific target of diagnosis and treatment in the early stages. Although Forkhead box M1 (FOXM1) has been reported to be differentially expressed in ESCC, its clinical role and function in ESCC remained unclarified.MethodsData from our hospital and public databases (n = 1906) were combined to estimate how FOXM1 overexpression showed its discriminatory ability between ESCC and non-ESCC esophageal tissues. Downstream targets of FOXM1 were predicted by using Cistrome database. Functional enrichment analyses were performed to explore the potential signaling pathways related to FOXM1 in ESCC. Based on the available clinical parameters, we investigated the prognosis potential of FOXM1 and its targets.ResultsThe pooled standard mean difference (SMD) for FOXM1 is 2.62 (95% CI: 2.08–3.16), indicating that FOXM1 is upregulated in ESCC. FOXM1 has an extremely high discrimination potential in ESCC because the area under the curve (AUC) of the summary receiver operating characteristic curve (sROC) is 0.99 (95% CI: 0.97–0.99). A total of 168 downstream targets were identified, and nine hub genes were screened from them. We found that FOXM1 and its targets were significantly enriched in the cell cycle. Additionally, the correlation between FOXM1 and clinical parameters had not been observed, except for age.ConclusionsFOXM1 is upregulated in ESCC and has an extremely high discrimination potential in ESCC.

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“…Tobacco and alcohol consumption are the main environmental risk factors of ESCA. The five-year survival rate is nearly 15% [ 2 ]. It mainly contains two histological subtypes: esophageal squamous cell carcinoma (approximately 90%) and esophageal adenocarcinoma (around 10%) [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Patients' advanced clinical presentation is linked to locally late and distant metastasis, which contributes to undesirable survival outcome. Additionally, because of tumor heterogeneity and acquired drug resistance, inherent resistance to radiotherapy and chemotherapy triggers therapeutic failure and unfavorable survival rate [ 2 ]. ESCA therapy depends upon patients' and tumors' features, especially the tumor, node, metastasis (TNM) staging system [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Weighted Gene Correlation Network Analysis Identifies Specific Functional Modules and Genes in Esophageal Cancer

Wang

et al. 2021

Journal of Oncology

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Objective. Esophageal cancer (ESCA) is one of the most aggressive malignancies globally with an undesirable five-year survival rate. Here, this study was conducted for determining specific functional genes linked with ESCA initiation and progression. Methods. Gene expression profiling of ESCA was curated from TCGA (containing 160 ESCA and 11 nontumor specimens) and GSE38129 (30 paired ESCA and nontumor tissues) datasets. Differential expression analysis was conducted between ESCA and nontumor tissues with adjusted p value <0.05 and |log2fold-change|>1. Weighted gene coexpression network analysis (WGCNA) was conducted for determining the ESCA-specific coexpression modules and genes. Thereafter, ESCA-specific differentially expressed genes (DEGs) were intersected. Functional enrichment analysis was then presented with clusterProfiler package. Protein-protein interaction was conducted, and hub genes were determined. Association of hub genes with pathological staging was evaluated, and survival analysis was presented among ESCA patients. Results. This study determined 91 ESCA-specific DEGs following intersection of DEGs and ESCA-specific genes in TCGA and GSE38129 datasets. They were remarkably linked to cell cycle progression and carcinogenic pathways like the p53 signaling pathway, cellular senescence, and apoptosis. Ten ESCA-specific hub genes were determined, containing ASPM, BUB1B, CCNA2, CDC20, CDK1, DLGAP5, KIF11, KIF20 A, TOP2A, and TPX2. They were prominently associated with pathological staging. Among them, KIF11 upregulation was in relation to undesirable prognosis of ESCA patients. Conclusion. Collectively, we determined ESCA-specific coexpression modules and hub genes, which offered the foundation for future research concerning the mechanistic basis of ESCA.

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Liquid biopsy for esophageal cancer: Is detection of circulating cell‐free DNA as a biomarker feasible?

Cited by 21 publications

References 86 publications

Liquid Biopsy in Squamous Cell Carcinoma of the Esophagus and of the Head and Neck

Liquid Biopsy in Squamous Cell Carcinoma of the Esophagus and of the Head and Neck

The Clinical Significance of Forkhead Box M1 in Esophageal Squamous Cell Carcinoma Tissues: A Study Based on In-house Immunohistochemistry, RNA-sequencing, and Data Mining

Weighted Gene Correlation Network Analysis Identifies Specific Functional Modules and Genes in Esophageal Cancer

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