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Enhancing precision medicine: a nomogram for predicting platinum resistance in epithelial ovarian cancer.
Li, Ruyue; Xiong, Zhuo; Ma, Yuan; Li, Yongmei; Yang, Yu'e; Ma, Shaohan; Ha, Chunfang.
Afiliación
  • Li R; Department of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Xiong Z; Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Ma Y; Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Li Y; Department of Gynecologic Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Yang Y; Department of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Ma S; Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
  • Ha C; Department of Gynecology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
World J Surg Oncol ; 22(1): 81, 2024 Mar 21.
Article en En | MEDLINE | ID: mdl-38509620
ABSTRACT

BACKGROUND:

This study aimed to develop a novel nomogram that can accurately estimate platinum resistance to enhance precision medicine in epithelial ovarian cancer(EOC).

METHODS:

EOC patients who received primary therapy at the General Hospital of Ningxia Medical University between January 31, 2019, and June 30, 2021 were included. The LASSO analysis was utilized to screen the variables which contained clinical features and platinum-resistance gene immunohistochemistry scores. A nomogram was created after the logistic regression analysis to develop the prediction model. The consistency index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the nomogram's performance.

RESULTS:

The logistic regression analysis created a prediction model based on 11 factors filtered down by LASSO regression. As predictors, the immunohistochemical scores of CXLC1, CXCL2, IL6, ABCC1, LRP, BCL2, vascular tumor thrombus, ascites cancer cells, maximum tumor diameter, neoadjuvant chemotherapy, and HE4 were employed. The C-index of the nomogram was found to be 0.975. The nomogram's specificity is 95.35% and its sensitivity, with a cut-off value of 165.6, is 92.59%, as seen by the ROC curve. After the nomogram was externally validated in the test cohort, the coincidence rate was determined to be 84%, and the ROC curve indicated that the nomogram's AUC was 0.949.

CONCLUSION:

A nomogram containing clinical characteristics and platinum gene IHC scores was developed and validated to predict the risk of EOC platinum resistance.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Medicina de Precisión Límite: Female / Humans Idioma: En Revista: World J Surg Oncol Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido
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 Ováricas / Medicina de Precisión Límite: Female / Humans Idioma: En Revista: World J Surg Oncol Año: 2024 Tipo del documento: Article Pais de publicación: Reino Unido