Open access
ATF4, ZIK1, and PNMA3 Transcriptomic Signatures Predict Chemoradiotherapy Response in Cervical Cancer
Angelo Borges de Melo
F. Queiroz
Carolina Pereira de Souza Melo
B. Duarte
Jorge Gomes Goulart Ferreira
Izabela Ferreira Gontijo de Amorim
Laurence Rodrigues Do Amaral
P. L. L. Bertarini
Telma Maria Rossi de Figueiredo Franco
Andréa Teixeira de Carvalho
O. Martins-Filho
Wander de Jesus Jeremias
Letícia da Conceição Braga
Paulo Guilherme de Oliveira Salles
Matheus de Souza Gomes
Medicine
Abstract
Cervical cancer (CC) is a main malignancy affecting women globally, with a high mortality rate. Chemoradiotherapy resistance is a significant factor in determining treatment outcomes, and prognostic biomarkers are essential for the appropriate selection of therapeutic strategies. This study aimed to identify gene expression signatures that may allow for follow‐up treatment response in CC patients.