Serum parameters as prognostic biomarkers in a real world cancer patient population treated with anti PD-1/PD-L1 therapy.


Journal

Annals of medicine
ISSN: 1365-2060
Titre abrégé: Ann Med
Pays: England
ID NLM: 8906388

Informations de publication

Date de publication:
12 2022
Historique:
entrez: 10 5 2022
pubmed: 11 5 2022
medline: 12 5 2022
Statut: ppublish

Résumé

Immune checkpoint inhibitors (ICI) are regarded as a standard of care in multiple malignancies. We hypothesized that serum parameters are of prognostic value in ICI treated patients suffering from solid tumours. Data from 114 patients treated with ICIs for solid malignancies from 2015 to 2019 at the Medical University of Vienna were collected retrospectively. Data included baseline characteristics, cancer type, serum parameters such as lactate dehydrogenase (LDH), C-reactive protein (CRP), albumin (Alb) and lymphocyte counts as well as overall survival (OS) and progression free survival. Additionally, the Gustave Roussy Immune Score (GRIm score) and the Glasgow prognostic score (GPS) were calculated. Cox regression models including time-dependent effects and strata for tumour type were used. Prognostic factors were pre-selected using a relaxed LASSO approach. The majority of patients were male (64.9%). The most common cancer types were non-small cell lung cancer (30.7%) and renal cell carcinoma (21.9%). Increased LDH and CRP were associated with poor 6-month OS (Hazard ratios (HR)=1.16 and 1.06 per 20% LDH/CRP increase; 95% CI 1.07-1.26 and 95% CI 1.03-1.09, respectively; The results of this analysis suggest that serum parameters might have prognostic value for the outcome of cancer patients treated with ICI, regardless of the tumour type.Key messagesIn this retrospective analysis, 114 patients with solid tumours were included. The results of this analysis point out that pre-treatment LDH, CRP and albumin levels are strongly prognostic for a poor 6-month OS.In addition to that, a high GRIm-score and poor GPS were associated with a worse OS (GRIm: HR = 2.84, 95% CI 1.72-4.69;

Sections du résumé

BACKGROUND
Immune checkpoint inhibitors (ICI) are regarded as a standard of care in multiple malignancies. We hypothesized that serum parameters are of prognostic value in ICI treated patients suffering from solid tumours.
METHODS
Data from 114 patients treated with ICIs for solid malignancies from 2015 to 2019 at the Medical University of Vienna were collected retrospectively. Data included baseline characteristics, cancer type, serum parameters such as lactate dehydrogenase (LDH), C-reactive protein (CRP), albumin (Alb) and lymphocyte counts as well as overall survival (OS) and progression free survival. Additionally, the Gustave Roussy Immune Score (GRIm score) and the Glasgow prognostic score (GPS) were calculated. Cox regression models including time-dependent effects and strata for tumour type were used. Prognostic factors were pre-selected using a relaxed LASSO approach.
RESULTS
The majority of patients were male (64.9%). The most common cancer types were non-small cell lung cancer (30.7%) and renal cell carcinoma (21.9%). Increased LDH and CRP were associated with poor 6-month OS (Hazard ratios (HR)=1.16 and 1.06 per 20% LDH/CRP increase; 95% CI 1.07-1.26 and 95% CI 1.03-1.09, respectively;
CONCLUSION
The results of this analysis suggest that serum parameters might have prognostic value for the outcome of cancer patients treated with ICI, regardless of the tumour type.Key messagesIn this retrospective analysis, 114 patients with solid tumours were included. The results of this analysis point out that pre-treatment LDH, CRP and albumin levels are strongly prognostic for a poor 6-month OS.In addition to that, a high GRIm-score and poor GPS were associated with a worse OS (GRIm: HR = 2.84, 95% CI 1.72-4.69;

Identifiants

pubmed: 35535695
doi: 10.1080/07853890.2022.2070660
pmc: PMC9103267
doi:

Substances chimiques

B7-H1 Antigen 0
Biomarkers 0
C-Reactive Protein 9007-41-4
L-Lactate Dehydrogenase EC 1.1.1.27

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1339-1349

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Auteurs

Christoph Minichsdorfer (C)

Department of Medicine I & CCC, Division of Oncology, Medical University of Vienna, Wien, Austria.

Andreas Gleiss (A)

Medical University of Vienna, Center for Medical Statistics, Informatics, and Intelligent Systems Institute of Clinical Biometrics, Wien, Austria.

Marie-Bernadette Aretin (MB)

Pharmacy Department, Vienna General Hospital - Medical University Campus, Wien, Austria.

Manuela Schmidinger (M)

Department of Urology, Medical University of Vienna, Wien, Austria.

Thorsten Fuereder (T)

Department of Medicine I & CCC, Division of Oncology, Medical University of Vienna, Wien, Austria.

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Classifications MeSH