Construction and evaluation of prognostic models for esophageal cancer patients with distant and non-distant metastases: providing a reference process for clinical diagnosis and treatment.

Esophageal cancer distant metastasis nomogram

Journal

Journal of gastrointestinal oncology
ISSN: 2078-6891
Titre abrégé: J Gastrointest Oncol
Pays: China
ID NLM: 101557751

Informations de publication

Date de publication:
Aug 2021
Historique:
received: 04 06 2021
accepted: 19 08 2021
entrez: 17 9 2021
pubmed: 18 9 2021
medline: 18 9 2021
Statut: ppublish

Résumé

Although the current treatment for esophageal cancer has great technological progress, the 5-year survival rate of patients is not optimistic. About 70% of patients with esophageal cancer are at an advanced stage at first diagnosis. These patients are prone to distant metastasis, and the prognosis is poor. Therefore, understanding the risk factors for distant metastasis in patients with esophageal cancer, combined with the prognosis of the patient, can aid in choosing the optimal diagnosis and treatment plan. Ultimately, it will improve the patient's survival time and quality of life. This research aims to construct a model for the risk assessment of distant metastasis in patients with esophageal cancer and prognostic models for patients with distant and non-distant metastases. The Surveillance Epidemiology and End Results (SEER) database was used to select patients with esophageal cancer from 2010 to 2015. The optimal cutoff point was selected for the age and tumor size variables using X-tile. The nomogram was constructed using R software (The R Foundation for Statistical Computing). Gender, grade, T stage, N stage, and tumor size were independent risk factors associated with distant metastasis in patients with esophageal cancer. The concordance index (C-index) of the nomogram prediction model for whether the patient will have distant metastasis was 0.609. Age, grade, T stage, N stage, and tumor size were independent risk factors affecting the prognosis without distant metastasis. The C-index of the nomogram prediction model for patients with distant metastases was 0.590. Age and T stage were independent risk factors affecting the prognosis of patients with distant metastases. The C-index of the nomogram prediction model was 0.543. The combination of radiotherapy, chemotherapy, and primary surgery yielded the best overall survival for both patients with distant metastases and patients with non-distant metastases. A comprehensive assessment of the risk of distant metastasis in patients with esophageal cancer, combined with prognosis prediction, is necessary to provide patients with a reasonable treatment plan.

Sections du résumé

BACKGROUND BACKGROUND
Although the current treatment for esophageal cancer has great technological progress, the 5-year survival rate of patients is not optimistic. About 70% of patients with esophageal cancer are at an advanced stage at first diagnosis. These patients are prone to distant metastasis, and the prognosis is poor. Therefore, understanding the risk factors for distant metastasis in patients with esophageal cancer, combined with the prognosis of the patient, can aid in choosing the optimal diagnosis and treatment plan. Ultimately, it will improve the patient's survival time and quality of life. This research aims to construct a model for the risk assessment of distant metastasis in patients with esophageal cancer and prognostic models for patients with distant and non-distant metastases.
METHODS METHODS
The Surveillance Epidemiology and End Results (SEER) database was used to select patients with esophageal cancer from 2010 to 2015. The optimal cutoff point was selected for the age and tumor size variables using X-tile. The nomogram was constructed using R software (The R Foundation for Statistical Computing).
RESULTS RESULTS
Gender, grade, T stage, N stage, and tumor size were independent risk factors associated with distant metastasis in patients with esophageal cancer. The concordance index (C-index) of the nomogram prediction model for whether the patient will have distant metastasis was 0.609. Age, grade, T stage, N stage, and tumor size were independent risk factors affecting the prognosis without distant metastasis. The C-index of the nomogram prediction model for patients with distant metastases was 0.590. Age and T stage were independent risk factors affecting the prognosis of patients with distant metastases. The C-index of the nomogram prediction model was 0.543. The combination of radiotherapy, chemotherapy, and primary surgery yielded the best overall survival for both patients with distant metastases and patients with non-distant metastases.
CONCLUSIONS CONCLUSIONS
A comprehensive assessment of the risk of distant metastasis in patients with esophageal cancer, combined with prognosis prediction, is necessary to provide patients with a reasonable treatment plan.

Identifiants

pubmed: 34532084
doi: 10.21037/jgo-21-429
pii: jgo-12-04-1241
pmc: PMC8421894
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1241-1254

Informations de copyright

2021 Journal of Gastrointestinal Oncology. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/jgo-21-429). The authors have no conflicts of interest to declare.

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Auteurs

Mingxin Zhang (M)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.
Department of Internal Medicine, The Second Clinical Medical College of Shaanxi University of Chinese Medicine, Xianyang, China.

Manli Cui (M)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Qianqian Zuo (Q)

Department of Oncology Geriatrics, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Li Wang (L)

Department of Scientific Research, The Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Jia Wang (J)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Lin Zhu (L)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Rong Yan (R)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Ning Lu (N)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Honglin Yan (H)

Department of Gastroenterology, The First Affiliated Hospital of Xi'an Medical University, Xi'an, China.

Lingmin Zhang (L)

Department of Anesthesiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.

Classifications MeSH