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Integrating Radiosensitivity Gene Signature Improves Prostate Cancer Outcome Prediction

2023-05-12

Abstract excerpt

<h4>Background: </h4> This study aimed to establish a nomogram that combine 31-gene signature (31-GS), radiosensitivity index (RSI) and radiation resistance related gene index (RRRI) for predicting recurrence and in prostate cancer (PCa) patients. <h4>Methods: </h4> The transcriptome data of PCa were obtained from GEO and TCGA to validate the predictive potential of three sets of published biomarkers, the 31-GS, R...

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Literature Corpus work
7afd83d8-e59a-5b16-a45f-a1d4307fddc9
DOI
10.21203/rs.3.rs-2911976/v1
Open publication

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Integrating Radiosensitivity Gene Signature Improves Prostate Cancer Outcome PredictionDOI 10.21203/rs.3.rs-2911976/v1
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