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Blood Based Biomarkers as Predictive Factors for Hyperprogressive Disease.

Authors :
Yildirim HC
Guven DC
Aktepe OH
Taban H
Yilmaz F
Yasar S
Aksoy S
Erman M
Kilickap S
Yalcin S
Source :
Journal of clinical medicine [J Clin Med] 2022 Sep 01; Vol. 11 (17). Date of Electronic Publication: 2022 Sep 01.
Publication Year :
2022

Abstract

Purpose: With the widespread use of immunotherapy agents, we encounter treatment responses such as hyperprogression disease (HPD) that we have not seen with previous standard chemotherapy and targeted therapies. It is known that survival in patients with HPD is shorter than in patients without HPD. Therefore, it is important to know the factors that will predict HPD. We aimed to identify HPD-related factors in patients treated with immunotherapy. Methods: A total of 121 adult metastatic cancer patients treated with immunotherapy for any cancer were included. Baseline demographics, the ECOG performance status, type of tumors and baseline blood count parameters were recorded. Possible predisposing factors were evaluated with univariate and multivariate analyses. Results: The median age was 62.28 (interquartile range (IQR) 54.02−67.63) years, and the median follow-up was 12.26 (IQR 5.6−24.36) months. Renal cell carcinoma (33%) and melanoma (33.8%) were the most common diagnoses. Twenty patients (16.5%) had HPD. A high LDH level (p: 0.001), hypoalbuminemia (p: 0.016) and an NLR > 5 (p: 0.007) were found to be associated with hyperprogression. Sex (female vs. male, p: 0.114), age (>65 vs. <65, p: 0.772), ECOG (0 vs. 1−4, p: 0.480) and the line of treatment (1−5, p: 0.112) were not found to be associated with hyperprogression. Conclusions: In this study, we observed HPD in 16.5% of immunotherapy-treated patients and increased HPD risk in patients with a high LDH level (p: 0.001), hypoalbuminemia (p: 0.016) and an NLR > 5 (p: 0.007).

Details

Language :
English
ISSN :
2077-0383
Volume :
11
Issue :
17
Database :
MEDLINE
Journal :
Journal of clinical medicine
Publication Type :
Academic Journal
Accession number :
36079101
Full Text :
https://doi.org/10.3390/jcm11175171