Cargando…

Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study

BACKGROUND: The dismal prognosis of gastric signet ring cell carcinoma (GSRC) is a global problem. The current study is conducted to comprehensively evaluate clinicopathological features and survival outcomes in GSRC patients stratified by anatomic subsites. Then, predictive nomograms are constructe...

Descripción completa

Detalles Bibliográficos
Autores principales: Xie, Yangyang, Song, Xue, Dong, Wenge, Jin, Haimin, Ni, Zhongkai, Li, Xiaowen, Huang, Hai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818421/
https://www.ncbi.nlm.nih.gov/pubmed/35141330
http://dx.doi.org/10.1155/2022/1565207
_version_ 1784645825394114560
author Xie, Yangyang
Song, Xue
Dong, Wenge
Jin, Haimin
Ni, Zhongkai
Li, Xiaowen
Huang, Hai
author_facet Xie, Yangyang
Song, Xue
Dong, Wenge
Jin, Haimin
Ni, Zhongkai
Li, Xiaowen
Huang, Hai
author_sort Xie, Yangyang
collection PubMed
description BACKGROUND: The dismal prognosis of gastric signet ring cell carcinoma (GSRC) is a global problem. The current study is conducted to comprehensively evaluate clinicopathological features and survival outcomes in GSRC patients stratified by anatomic subsites. Then, predictive nomograms are constructed and validated to improve the effectiveness of personalized management. METHOD: The patients diagnosed with GSRC were recruited from the online SEER database. The influence of anatomic subsites on overall survival (OS) and cancer-specific survival (CSS) was evaluated using multivariate Cox regression and Kaplan-Meier analysis. Then, we employed propensity score matching (PSM) technique to decrease selection bias and balance patients' epidemiological factors. Predictive nomograms were constructed and validated. Sensitivity analysis was performed to validate the conclusion. RESULTS: Multivariate Cox regression demonstrated that the patients with overlapping gastric cancer (OGC) suffered the highest mortality risk for OS (HR, 1.29; 95% CI, 1.23-1.36; P < 0.001) and CSS (HR, 1.33; 95% CI, 1.28-1.37; P < 0.001). Age, TNM stage, tumor localization, tumor size, surgery, and chemotherapy presented a highly significant relationship with OS and CSS. Following subgroup and PSM analysis, OGC patients were confirmed to have the worst OS and CSS. Then, nomograms predicting 6-month, 12-month, and 36-month survival were constructed. The area under the curve (AUC) value in ROC was 0.775 (95% CI, 0.761-0.793) for 6-month survival, 0.789 (95% CI, 0.776-0.801) for 12-month survival, and 0.780 (95% CI, 0.765-0.793) for 36-month survival in the OS group, while in the CSS group, it was 0.771 (95% CI, 0.758-0.790) for 6-month survival, 0.781 (95% CI, 0.770-0.799) for 12-month survival, and 0.773 (95% CI, 0.762-0.790) for 36-month survival. CONCLUSION: We identified anatomic subsites as a predictor of survival in those with GSRC. Patients with OGC suffered the highest mortality risk. The proposed nomograms allowed a relatively accurate survival prediction for GSRC patients.
format Online
Article
Text
id pubmed-8818421
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-88184212022-02-08 Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study Xie, Yangyang Song, Xue Dong, Wenge Jin, Haimin Ni, Zhongkai Li, Xiaowen Huang, Hai Biomed Res Int Research Article BACKGROUND: The dismal prognosis of gastric signet ring cell carcinoma (GSRC) is a global problem. The current study is conducted to comprehensively evaluate clinicopathological features and survival outcomes in GSRC patients stratified by anatomic subsites. Then, predictive nomograms are constructed and validated to improve the effectiveness of personalized management. METHOD: The patients diagnosed with GSRC were recruited from the online SEER database. The influence of anatomic subsites on overall survival (OS) and cancer-specific survival (CSS) was evaluated using multivariate Cox regression and Kaplan-Meier analysis. Then, we employed propensity score matching (PSM) technique to decrease selection bias and balance patients' epidemiological factors. Predictive nomograms were constructed and validated. Sensitivity analysis was performed to validate the conclusion. RESULTS: Multivariate Cox regression demonstrated that the patients with overlapping gastric cancer (OGC) suffered the highest mortality risk for OS (HR, 1.29; 95% CI, 1.23-1.36; P < 0.001) and CSS (HR, 1.33; 95% CI, 1.28-1.37; P < 0.001). Age, TNM stage, tumor localization, tumor size, surgery, and chemotherapy presented a highly significant relationship with OS and CSS. Following subgroup and PSM analysis, OGC patients were confirmed to have the worst OS and CSS. Then, nomograms predicting 6-month, 12-month, and 36-month survival were constructed. The area under the curve (AUC) value in ROC was 0.775 (95% CI, 0.761-0.793) for 6-month survival, 0.789 (95% CI, 0.776-0.801) for 12-month survival, and 0.780 (95% CI, 0.765-0.793) for 36-month survival in the OS group, while in the CSS group, it was 0.771 (95% CI, 0.758-0.790) for 6-month survival, 0.781 (95% CI, 0.770-0.799) for 12-month survival, and 0.773 (95% CI, 0.762-0.790) for 36-month survival. CONCLUSION: We identified anatomic subsites as a predictor of survival in those with GSRC. Patients with OGC suffered the highest mortality risk. The proposed nomograms allowed a relatively accurate survival prediction for GSRC patients. Hindawi 2022-01-30 /pmc/articles/PMC8818421/ /pubmed/35141330 http://dx.doi.org/10.1155/2022/1565207 Text en Copyright © 2022 Yangyang Xie et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xie, Yangyang
Song, Xue
Dong, Wenge
Jin, Haimin
Ni, Zhongkai
Li, Xiaowen
Huang, Hai
Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title_full Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title_fullStr Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title_full_unstemmed Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title_short Anatomic Subsites and Prognosis of Gastric Signet Ring Cell Carcinoma: A SEER Population-Based 1 : 1 Propensity-Matched Study
title_sort anatomic subsites and prognosis of gastric signet ring cell carcinoma: a seer population-based 1 : 1 propensity-matched study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8818421/
https://www.ncbi.nlm.nih.gov/pubmed/35141330
http://dx.doi.org/10.1155/2022/1565207
work_keys_str_mv AT xieyangyang anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT songxue anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT dongwenge anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT jinhaimin anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT nizhongkai anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT lixiaowen anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy
AT huanghai anatomicsubsitesandprognosisofgastricsignetringcellcarcinomaaseerpopulationbased11propensitymatchedstudy