A nomogram to predict long-time survival for patients with M1 diseases of esophageal cancer

Liu, Mina; Wang, Changlu; Gao, Liang; Lv, Chao; Cai, Xu-Wei

doi:10.7150/jca.27579

Cited by 17 publications

(17 citation statements)

References 15 publications

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“…In breast cancer, patients with BMs have significantly better survival than those who have metastases to other sites (20). On the other hand, OS is significantly worse in patients with EC with BMs compared to those with metastases to other sites (9,21). In the current study, the median OS from the time of BM diagnosis in patients with EC was five months, which is consistent with previous reports of 2–4 months (9,22).…”

Section: Discussionmentioning

confidence: 96%

Clinical features and prognostic factors in patients with esophageal cancer with bone metastasis

et al. 2019

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There have been few reports on bone metastases (BMs) from esophageal cancer (EC). The aim of the present study was to investigate the clinicopathological features and prognostic factors in patients with EC with BMs. The present study retrospectively collected data from 58 patients with BMs from EC who were treated at our institution between 2007 and 2016. Patient, tumor and BM-associated characteristics were analyzed. Kaplan-Meier survival curves were constructed and analyzed using the univariate log-rank test. Multivariate analyses were conducted using the Cox proportional hazards model. The median patient age was 67 years (range, 39–84 years). Multiple BMs were detected in 38 patients (65.5%) and 52 patients (89.7%) exhibited osteolytic BMs. Skeletal-related events (SREs) occurred in 53 patients (91.4%). The one-year overall survival (OS) was 25.3%, and the median OS was 5 months (range, 0–54). Univariate analyses revealed that performance status, visceral or brain metastasis, serum carcinoembryonic antigen (CEA), C-reactive protein, albumin level, and receipt of chemotherapy following BM diagnosis were significantly associated with OS. Multivariate analyses of these factors demonstrated that higher serum CEA levels and no chemotherapy were significant risk factors for poor OS. Multiple osteolytic BMs are frequently observed in patients with EC with BMs, and SREs commonly occur. The prognoses of patients with EC with BMs are poor, but chemotherapy administration following the BM diagnosis should confer a survival benefit.

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Section: Discussionmentioning

confidence: 96%

Clinical features and prognostic factors in patients with esophageal cancer with bone metastasis

et al. 2019

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“…A greater number of metastatic organs was related to worse prognosis. In spite of the indolent nature of oligometastatic EC, the large number of metastatic organs represents the higher growth potential and higher ability to metastasize, which could result in widespread metastasis and poor prognosis 22 .…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a nomogram prognostic model for esophageal cancer patients with oligometastases

Wang

Zhang

et al. 2020

Sci Rep

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Platinum-based chemotherapy is recommended as the standard treatment for metastatic esophageal cancer (EC) patients; however, the outcome is poor. Oligometastasis is less aggressive and has limited growth potential. However, the prognostic factors for EC patients with oligometastases was largely unknown. Thus, we intend to determine the prognostic factors, and develop and validate nomograms for prediction of survival for EC patients with oligometastases. In this study, characteristics of 273 oligometastatic EC patients were analyzed using univariate and multivariate Cox models to determine the independent prognostic factors for progression-free survival (PFS) and overall survival (OS). The result showed that history of alcohol consumption, longer tumor, no local radiotherapy for EC, and no local treatment for metastases were independent factors for PFS. Sex, esophageal fistula, number of metastatic organs, and local radiotherapy for EC were independent prognostic factors for OS. On the basis of Cox models, the respective nomogram for prediction of PFS and OS was established with the corrected concordance index of 0.739 and 0.696 after internal cross-validation. In conclusion, local treatment for metastases and local radiotherapy for EC were demonstrated to be beneficial for oligometastatic EC patients, and the validated nomograms are valuable in prognosis prediction and could guide individualized management for these patients.

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“…Global alterations of miRNA and mRNA expression are involved in the regulatory mechanisms of the development and progression of ESCC. [57] Through PPI analyses, we found that the 13 mRNAs that were assessed as hub genes might play crucial roles in ESCC. Matrix metalloproteinases (MMPs) are strongly expressed in the cytoplasm of cancer cells, especially in the invasive margin, and are weakly expressed in stromal cells.…”

Section: Discussionmentioning

confidence: 99%

Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis

Zhong

Huang

et al. 2019

Medicine

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Esophageal squamous cell carcinoma (ESCC) is a malignancy that severely threatens human health and carries a high incidence rate and a low 5-year survival rate. MicroRNAs (miRNAs) are commonly accepted as a key regulatory function in human cancer, but the potential regulatory mechanisms of miRNA-mRNA related to ESCC remain poorly understood. The GSE55857, GSE43732, and GSE6188 miRNA microarray datasets and the gene expression microarray datasets GSE70409, GSE29001, and GSE20347 were downloaded from Gene Expression Omnibus databases. The differentially expressed miRNAs (DEMs) and differentially expressed genes (DEGs) were obtained using GEO2R. Gene ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs were performed by Database for Annotation, Visualization and Integrated Discovery (DAVID). A protein–protein interaction (PPI) network and functional modules were established using the STRING database and were visualized by Cytoscape. Kaplan-Meier analysis was constructed based on The Cancer Genome Atlas (TCGA) database. In total, 26 DEMs and 280 DEGs that consisted of 96 upregulated and 184 downregulated genes were screened out. A functional enrichment analysis showed that the DEGs were mainly enriched in the ECM-receptor interaction and cytochrome P450 metabolic pathways. In addition, MMP9, PCNA, TOP2A, MMP1, AURKA, MCM2, IVL, CYP2E1, SPRR3, FOS, FLG, TGM1, and CYP2C9 were considered to be hub genes owing to high degrees in the PPI network. MiR-183-5p was with the highest connectivity target genes in hub genes. FOS was predicted to be a common target gene of the significant DEMs. Hsa-miR-9-3p, hsa-miR-34c-3p and FOS were related to patient prognosis and higher expression of the transcripts were associated with a poor OS in patients with ESCC. Our study revealed the miRNA-mediated hub genes regulatory network as a model for predicting the molecular mechanism of ESCC. This may provide novel insights for unraveling the pathogenesis of ESCC.

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A nomogram to predict long-time survival for patients with M1 diseases of esophageal cancer

Cited by 17 publications

References 15 publications

Clinical features and prognostic factors in patients with esophageal cancer with bone metastasis

Clinical features and prognostic factors in patients with esophageal cancer with bone metastasis

Development and validation of a nomogram prognostic model for esophageal cancer patients with oligometastases

Identification of crucial miRNAs and genes in esophageal squamous cell carcinoma by miRNA-mRNA integrated analysis

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