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ATF4, ZIK1, and PNMA3 Transcriptomic Signatures Predict Chemoradiotherapy Response in Cervical Cancer

Angelo B. de Melo F. Queiroz C. P. de Souza Melo B. Duarte Jorge Gomes Goulart Ferreira I. G. D. de Amorim L. D. do Amaral P. L. L. Bertarini Telma Maria Rossi de Figueiredo Franco A. D. de Carvalho O. Martins-Filho Wander de Jesus Jeremias Letícia da Conceição Braga P. G. de Oliveira Salles Matheus de Souza Gomes

Jul 2026 · Cancer Medicine · Vol 15 · 0 citations · 34 references

Medicine

TL;DR

This study aimed to identify gene expression signatures that may allow for follow-up treatment response in CC patients.

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.

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