Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Can We Improve the FIGO Risk Score? Developing the In-FIGO Score for Patients with Gestational Trophoblastic Neoplasia

Katia Roque
ORCID logo ,
Rossana Ruiz
ORCID logo ,
M.A. Galvez-Nino
,
Melanie Castro-Mollo
,
Iris Otoya
,
Yomali Ferreyra
,
Ofelia Coanqui
,
Mivael Olivera
,
Natalia Valdiviezo
,
Ramon Andrade De Mello
* ,
Luis Mas
ORCID logo
Version 1 : Received: 20 September 2024 / Approved: 20 September 2024 / Online: 20 September 2024 (11:49:19 CEST)

How to cite: Roque, K.; Ruiz, R.; Galvez-Nino, M.; Castro-Mollo, M.; Otoya, I.; Ferreyra, Y.; Coanqui, O.; Olivera, M.; Valdiviezo, N.; De Mello, R. A.; Mas, L. Can We Improve the FIGO Risk Score? Developing the In-FIGO Score for Patients with Gestational Trophoblastic Neoplasia. Preprints 2024, 2024091575. https://doi.org/10.20944/preprints202409.1575.v1 Roque, K.; Ruiz, R.; Galvez-Nino, M.; Castro-Mollo, M.; Otoya, I.; Ferreyra, Y.; Coanqui, O.; Olivera, M.; Valdiviezo, N.; De Mello, R. A.; Mas, L. Can We Improve the FIGO Risk Score? Developing the In-FIGO Score for Patients with Gestational Trophoblastic Neoplasia. Preprints 2024, 2024091575. https://doi.org/10.20944/preprints202409.1575.v1

Abstract

Background: Gestational trophoblastic neoplasia (GTN) is a rare tumor with an excellent prognosis. This study aimed to refine the FIGO risk score by incorporating immune nutritional factors. Methods: A retrospective analysis was conducted on women diagnosed with GTN between 2005 and 2019 who received chemotherapy (CT). Statistical tests (Wilcoxon, univariate, multivariate analyses) were used to assess associations with response to CT, and Cox regression models were applied to identify factors influencing overall survival (OS). immune nutritional FIGO (in-FIGO) risk score was calculated using significant variables and compared to the original FIGO score using ROC curves. Results: A total of 160 GTN patients were included. There was a positive association between CR and prognostic nutritional index (PNI) (p <0.0001) and neutrophils lymphocyte ratio (NLR) (p <0.001). In multivariate analysis, only PNI had a significant association (p= 0.001). A significant association was found between higher PNI (HR 0.95-IC 0.91-0.99, p= 0.019) and OS. ROC curves of the in-FIGO risk and FIGO risk scores were compared. For CR to chemotherapy, the in-FIGO score had higher sensitivity (71.6 vs. 61.5%), specificity (74.3 vs. 62.9%), and AUC (0.719 vs. 0.633) than the original FIGO score. For OS, the in-FIGO score demonstrated higher sensitivity (92% vs. 72.4%) but lower specificity (45.0% vs. 61.8%) and AUC (0.691 vs. 0.710) compared to the original FIGO score. Conclusions: PNI is a significant predictor of both CR and OS in women with GTN receiving CT. The in-FIGO score demonstrated improved sensitivity and specificity in predicting complete response to CT compared to the original FIGO score.

Keywords

Gestational trophoblastic neoplasia (GTN); Nutritional prognostic index (PNI); Neutrophil/lymphocyte ratio (NLR); Complete response to chemotherapy (CR); Overall survival (OS)

Subject

Medicine and Pharmacology, Oncology and Oncogenics

Copyright: 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.

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