Your browser doesn't support javascript.
loading
Nomogram for predicting pathological response to neoadjuvant treatment in patients with locally advanced gastric cancer: Data from a phase III clinical trial.
Shao, Han; Li, Nai; Ling, Yi-Hong; Wang, Ji-Jin; Fang, Yi; Jing, Ming; Zhou, Zhi-Wei; Zhang, Yu-Jing.
Afiliación
  • Shao H; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Li N; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
  • Ling YH; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Wang JJ; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
  • Fang Y; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Jing M; Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
  • Zhou ZW; State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China.
  • Zhang YJ; Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Cancer Med ; 13(6): e7122, 2024 Mar.
Article en En | MEDLINE | ID: mdl-38523553
ABSTRACT

PURPOSE:

This study aimed to establish a nomogram using routinely available clinicopathological parameters to predict the pathological response in patients with locally advanced gastric cancer (LAGC) undergoing neoadjuvant treatment. MATERIALS AND

METHODS:

We conducted this study based on the ongoing Neo-CRAG trial, a prospective study focused on preoperative treatment in patients with LAGC. A total of 221 patients who underwent surgery following neoadjuvant chemotherapy (nCT) or neoadjuvant chemoradiotherapy (nCRT) at Sun Yat-sen University Cancer Center between June 2013 and July 2022 were included in the analysis. We defined complete or near-complete pathological regression and ypN0 as good response (GR), and determined the prognostic value of GR by Kaplan-Meier survival analysis. Eventually, a nomogram for predicting GR was developed based on statistically identified predictors through multivariate logistic regression analysis and internally validated by the bootstrap method.

RESULTS:

GR was confirmed in 54 patients (54/221, 24.4%). Patients who achieved GR had a longer progression-free survival and overall survival. Then, five independent factors, including pretreatment tumor differentiation, clinical T stage, monocyte count, CA724 level, and the use of nCRT, were identified. Based on these predictors, the nomogram was established with an area under the curve (AUC) of 0.777 (95% CI, 0.705-0.850) and a bias-corrected AUC of 0.752.

CONCLUSION:

A good pathological response after neoadjuvant treatment was associated with an improved prognosis in LAGC patients. The nomogram we established exhibits a high predictive capability for GR, offering potential value in devising personalized and precise treatment strategies for LAGC patients.
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Nomogramas Límite: Humans Idioma: En Revista: Cancer Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Gástricas / Nomogramas Límite: Humans Idioma: En Revista: Cancer Med Año: 2024 Tipo del documento: Article Pais de publicación: Estados Unidos