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Increased serum cholesterol and long-chain fatty acid levels are associated with the efficacy of nivolumab in patients with non-small cell lung cancer
Ist Teil von
Cancer Immunology, Immunotherapy, 2022-01, Vol.71 (1), p.203-217
Ort / Verlag
Berlin/Heidelberg: Springer Berlin Heidelberg
Erscheinungsjahr
2022
Link zum Volltext
Quelle
SpringerLink (Online service)
Beschreibungen/Notizen
Background
Lipids have immunomodulatory functions and the potential to affect cancer immunity.
Methods
The associations of pretreatment serum cholesterol and long-chain fatty acids with the objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) were evaluated in 148 patients with non-small cell lung cancer who received nivolumab.
Results
When each lipid was separately evaluated, increased low-density lipoprotein (LDL)-cholesterol (
P
< 0.001), high-density lipoprotein (HDL)-cholesterol (
P
= 0.014), total cholesterol (
P
= 0.007), lauric acid (
P
= 0.015), myristic acid (
P
= 0.022), myristoleic acid (
P
= 0.035), stearic acid (
P
= 0.028), linoleic acid (
P
= 0.005), arachidic acid (
P
= 0.027), eicosadienoic acid (
P
= 0.017), dihomo-γ-linolenic acid (
P
= 0.036), and behenic acid levels (
P
= 0.032) were associated with longer PFS independent of programmed death ligand 1 (PD-L1) expression. Meanwhile, increased LDL-cholesterol (
P
< 0.001), HDL-cholesterol (
P
= 0.009), total cholesterol (
P
= 0.036), linoleic acid (
P
= 0.014), and lignoceric acid levels (
P
= 0.028) were associated with longer OS independent of PD-L1 expression. When multiple lipids were evaluated simultaneously, LDL-cholesterol (
P
= 0.003), HDL-cholesterol (
P
= 0.036), and lauric acid (
P
= 0.036) were independently predictive of PFS, and LDL-cholesterol (
P
= 0.008) and HDL-cholesterol (
P
= 0.031) were predictive of OS. ORR was not associated with any serum lipid.
Conclusions
Based on the association of prolonged survival in patients with increased serum cholesterol and long-chain fatty acid levels, serum lipid levels may be useful for predicting the efficacy of immune checkpoint inhibitor therapy.