Early changes in soluble intracellular adhesion molecule-1 as prognostic biomarkers to immune checkpoint inhibitor
© 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics..
Serologic biomarker to predict clinical outcome is needed for immune checkpoint inhibitors (ICIs). We evaluated soluble intercellular adhesion molecules-1 (sICAM-1) as a predictor of response to ICIs treatment. Ninety-five patients with cancer treated with ICI were studied. The serum sICAM-1 levels of baseline, post two cycle therapy and end of therapy (EOT) were measured by enzyme-linked immunoassay. We randomly assigned the patients into the primary cohort (n = 47) and validation cohort (n = 48). Serum sICAM-1 post two cycle (277.7 ± 181.6 ng/mL) and EOT (403.9 ± 218.9 ng/mL) were significantly elevated compared to baseline (244.8 ± 153.8 ng/mL, p = 0.008 and p = 0.004, respectively). Early changes of sICAM-1 (ΔsICAM-1), deemed as sICAM-1 after two cycles minus baseline, were assessed. Following ICI treatments, responders had significantly lower ΔsICAM-1 compared with nonresponders in the primary cohort (p = 0.040) and the validation cohort (p = 0.026). High ΔsICAM-1 was strongly associated with inferior progression-free survival (PFS; (primary cohort: p = 0.001 and validation cohort: p = 0.002) and overall survival (OS; (primary cohort: p < 0.001 and validation cohort: p = 0.007). The ΔsICAM-1 remained independently associated with worse PFS and OS in the primary cohort and the validation cohort. Subgroup analysis indicated patients whose sICAM-1 significantly elevated had shorter PFS and OS in both anti-PD-1 and anti-PD-L1 treatment groups. Early change of serum sICAM-1 could be used to monitor and predict clinical benefit of ICI therapy in patients with solid cancer.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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Enthalten in: |
Clinical and translational science - 16(2023), 8 vom: 27. Aug., Seite 1396-1407 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Ji, Dongmei [VerfasserIn] |
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Anmerkungen: |
Date Completed 18.08.2023 Date Revised 23.08.2023 published: Print-Electronic Citation Status MEDLINE |
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doi: |
10.1111/cts.13540 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM358186609 |
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520 | |a Serologic biomarker to predict clinical outcome is needed for immune checkpoint inhibitors (ICIs). We evaluated soluble intercellular adhesion molecules-1 (sICAM-1) as a predictor of response to ICIs treatment. Ninety-five patients with cancer treated with ICI were studied. The serum sICAM-1 levels of baseline, post two cycle therapy and end of therapy (EOT) were measured by enzyme-linked immunoassay. We randomly assigned the patients into the primary cohort (n = 47) and validation cohort (n = 48). Serum sICAM-1 post two cycle (277.7 ± 181.6 ng/mL) and EOT (403.9 ± 218.9 ng/mL) were significantly elevated compared to baseline (244.8 ± 153.8 ng/mL, p = 0.008 and p = 0.004, respectively). Early changes of sICAM-1 (ΔsICAM-1), deemed as sICAM-1 after two cycles minus baseline, were assessed. Following ICI treatments, responders had significantly lower ΔsICAM-1 compared with nonresponders in the primary cohort (p = 0.040) and the validation cohort (p = 0.026). High ΔsICAM-1 was strongly associated with inferior progression-free survival (PFS; (primary cohort: p = 0.001 and validation cohort: p = 0.002) and overall survival (OS; (primary cohort: p < 0.001 and validation cohort: p = 0.007). The ΔsICAM-1 remained independently associated with worse PFS and OS in the primary cohort and the validation cohort. Subgroup analysis indicated patients whose sICAM-1 significantly elevated had shorter PFS and OS in both anti-PD-1 and anti-PD-L1 treatment groups. Early change of serum sICAM-1 could be used to monitor and predict clinical benefit of ICI therapy in patients with solid cancer | ||
650 | 4 | |a Journal Article | |
650 | 7 | |a Immune Checkpoint Inhibitors |2 NLM | |
650 | 7 | |a Biomarkers |2 NLM | |
700 | 1 | |a Jiang, Shiyu |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Qunling |e verfasserin |4 aut | |
700 | 1 | |a Wang, Y Ken |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Jian |e verfasserin |4 aut | |
700 | 1 | |a Shen, Weina |e verfasserin |4 aut | |
700 | 1 | |a Li, Wenhua |e verfasserin |4 aut | |
700 | 1 | |a Liu, Rujiao |e verfasserin |4 aut | |
700 | 1 | |a Wang, Jessica |e verfasserin |4 aut | |
700 | 1 | |a Mavis, Cory |e verfasserin |4 aut | |
700 | 1 | |a Gu, Juan J |e verfasserin |4 aut | |
700 | 1 | |a Hu, Xichun |e verfasserin |4 aut | |
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