Exploring prognostic factors for survival in patients with advanced pancreatic cancer undergoing PD-1 inhibitor immunotherapy.
Yue MaShiyun ChenGuanghai DaiPublished in: Human vaccines & immunotherapeutics (2024)
Immunotherapy, led by programmed cell death protein-1 (PD-1) inhibitors, has emerged as a prominent antitumor therapy, yet prognostic challenges persist in pancreatic cancer (PC). This retrospective, single-center study evaluated prognostic factors in advanced PC patients treated with PD-1 inhibitors at the PLA General Hospital's Oncology Department from 2015-2022. With ethics approval by the Ethics Committee of the General Hospital of the People's Liberation Army (S2021-228-03), we analyzed 126 patients using Kaplan-Meier and Cox models. p < .05 was considered a statistically significant difference. Median overall survival (mOS) and progression-free survival (mPFS) were 12.1 and 4.6 months, respectively. Significant mOS predictors were surgery history (44.2 months vs. 10 months, * p = .022), absence of liver metastases (44.2 months vs. 6.4 months, * p = .034), and baseline CA19-9 ≤ 216.15 U/ml (18.5 months vs. 9.2 months, * p = .049). For mPFS, histologic differentiation (5.5 months vs. 3.2 months, * p = .022) and first-line PD-1 inhibitor use (5.1 months vs. 1.5 months, *** p = .001) were key. Subgroup analyses highlighted early progression in low histologic differentiation and earlier death without surgery. History of surgery, absence of liver metastases, baseline CA19-9 level, and histologic intermediate/high differentiation may predict PD-1 inhibitor efficacy in advanced PC, pending validation in prospective trials.
Keyphrases
- prognostic factors
- minimally invasive
- liver metastases
- free survival
- healthcare
- public health
- clinical trial
- machine learning
- randomized controlled trial
- stem cells
- ejection fraction
- palliative care
- chronic kidney disease
- small molecule
- coronary artery disease
- gold nanoparticles
- mesenchymal stem cells
- acute coronary syndrome
- deep learning
- artificial intelligence
- cross sectional
- cell therapy
- binding protein
- patient reported
- amino acid