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Dataset Information

Dynamic serum biomarkers to predict the efficacy of PD-1 in patients with nasopharyngeal carcinoma.


ABSTRACT:

Background

There is a lack of effective treatments for recurrent or metastatic nasopharyngeal carcinoma (RM-NPC). Furthermore, the response rate of NPC patients to programmed death 1 (PD-1) inhibitors is approximately 20% to 30%. Thus, we aimed to explore reliable and minimally invasive prognostic indicators to predict the efficacy of PD-1 inhibitors combination therapy in RM-NPC.

Methods

The serum markers of 160 RM-NPC patients were measured before and three weeks after the first anti-PD-1 treatment. The least absolute shrinkage and selection operator (LASSO) logistic regression was carried out to select dynamic serum indicators and construct a prediction model. Furthermore, we carried out univariate, multivariate, nomogram and survival analyses to identify independent prog

SUBMITTER: Zhang A 

PROVIDER: S-EPMC8480072 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature