A nomogram for predicting hyperprogressive disease after immune checkpoint inhibitor treatment in lung cancer.

ABSTRACT:

Background

Immune checkpoint inhibitor (ICI) therapy is an emerging type of treatment for lung cancer (LC). However, hyperprogressive disease (HPD) has been observed in patients treated with ICIs that lacks a prognostic prediction model. There is an urgent need for a simple and easily implementable predictive model to predict the occurrence of HPD. This study aimed to establish a novel scoring system based on a nomogram for the occurrence of HPD.

Methods

We retrospectively identified 1473 patients with stage III-IV LC or inoperable stage I-II LC (1147 in training set, and 326 in testing set), who had undergone ICI therapy at the Shanghai Chest Hospital between January 2017 and March 2022. Available computed tomography (CT) data from the previous treatment, before ICI adminis

SUBMITTER: Cao S 

PROVIDER: S-EPMC9073744 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature