TY - JOUR
T1 - Inflammatory Cytokines and ctDNA Are Biomarkers for Progression in Advanced-Stage Melanoma Patients Receiving Checkpoint Inhibitors
AU - Pedersen, Jesper Geert
AU - Madsen, Anne Tranberg
AU - Gammelgaard, Kristine Raaby
AU - Aggerholm-Pedersen, Ninna
AU - Sørensen, Boe Sandahl
AU - Øllegaard, Trine Heide
AU - Jakobsen, Martin Roelsgaard
PY - 2020/6
Y1 - 2020/6
N2 - Purpose: Checkpoint inhibitors have significantly improved treatment of metastatic mel-anoma. However, 40–60% of patients do not respond to therapy, emphasizing the need for better predictive biomarkers for treatment response to immune checkpoint inhibitors. Prorammed death-ligand 1(PD-L1) expression in tumor cells is currently used as a predictive biomarker; however, it lacks specificity. Therefore, it is of utmost importance to identify other novel biomarkers that can predict treatment outcome. Experimental design: We studied a small cohort of 16 patients with ad-vanced-stage melanoma treated with first-line checkpoint inhibitors. Plasma samples were collected prior to treatment initiation and continuously during the first year of treatment. Circulating tumor DNA (ctDNA) level and the expression of ten inflammatory cytokines were analyzed. Results: We found that the ctDNA-level in a blood sample collected after 6–8 weeks of therapy is predictive for response to checkpoint inhibitors. Patients with undetectable ctDNA had significantly longer pro-gression-free survival (PFS) compared with patients with detectable ctDNA (median 26.3 vs. 2.1 months, p = 0.006). In parallel, we identified that high levels of the cytokines monocyte chemoat-tractant protein 1 (MCP1) and tumor necrosis factor (TNF) in baseline blood samples were significantly associated with longer PFS compared to low level of these cytokines (median not reached vs. 8.2 months p = 0.0008). Conclusions: These findings suggest that the levels of ctDNA, MCP1, and TNF in baseline and early follow-up samples can predict disease progression in metastatic melanoma patients treated with checkpoint inhibitors. Potentially, these minimally invasive biomarkers may identify responders from non-responders.
AB - Purpose: Checkpoint inhibitors have significantly improved treatment of metastatic mel-anoma. However, 40–60% of patients do not respond to therapy, emphasizing the need for better predictive biomarkers for treatment response to immune checkpoint inhibitors. Prorammed death-ligand 1(PD-L1) expression in tumor cells is currently used as a predictive biomarker; however, it lacks specificity. Therefore, it is of utmost importance to identify other novel biomarkers that can predict treatment outcome. Experimental design: We studied a small cohort of 16 patients with ad-vanced-stage melanoma treated with first-line checkpoint inhibitors. Plasma samples were collected prior to treatment initiation and continuously during the first year of treatment. Circulating tumor DNA (ctDNA) level and the expression of ten inflammatory cytokines were analyzed. Results: We found that the ctDNA-level in a blood sample collected after 6–8 weeks of therapy is predictive for response to checkpoint inhibitors. Patients with undetectable ctDNA had significantly longer pro-gression-free survival (PFS) compared with patients with detectable ctDNA (median 26.3 vs. 2.1 months, p = 0.006). In parallel, we identified that high levels of the cytokines monocyte chemoat-tractant protein 1 (MCP1) and tumor necrosis factor (TNF) in baseline blood samples were significantly associated with longer PFS compared to low level of these cytokines (median not reached vs. 8.2 months p = 0.0008). Conclusions: These findings suggest that the levels of ctDNA, MCP1, and TNF in baseline and early follow-up samples can predict disease progression in metastatic melanoma patients treated with checkpoint inhibitors. Potentially, these minimally invasive biomarkers may identify responders from non-responders.
KW - Biomarkers
KW - Cytokines
KW - Immune checkpoint inhibitors
KW - Inflammation
KW - Melanoma
UR - http://www.scopus.com/inward/record.url?scp=85086263050&partnerID=8YFLogxK
U2 - 10.3390/cancers12061414
DO - 10.3390/cancers12061414
M3 - Journal article
C2 - 32486146
SN - 2072-6694
VL - 12
SP - 1
EP - 15
JO - Cancers
JF - Cancers
IS - 6
M1 - 1414
ER -