Intraindividual Long-term Immune Marker Stability in Plasma Samples Collected in Median 9.4 Years Apart in 304 Adult Cancer-free Individuals

Florentin Späth*, Wendy Yi-Ying Wu, Esmeralda J M Krop, Ingvar A Bergdahl, Carl Wibom, Roel Vermeulen

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Background: Changes in immune marker levels in the blood could be used to improve the early detection of tumor-associated inflammatory processes. To increase predictiveness and utility in cancer detection, intraindividual long-term stability in cancer-free individuals is critical for biomarker candidates as to facilitate the detection of deviation from the norm. Methods: We assessed intraindividual long-term stability for 19 immune markers (IL10, IL13, TNFa, CXCL13, MCP-3, MIP-1a, MIP-1b, fractalkine, VEGF, FGF-2, TGFa, sIL2Ra, sIL6R, sVEGF-R2, sTNF-R1, sTNF-R2, sCD23, sCD27, and sCD30) in 304 cancer-free individuals. Repeated blood samples were collected up to 20 years apart. Intraindividual reproducibility was assessed by calculating intraclass correlation coefficients (ICC) using a linear mixed model. Results: ICCs indicated fair to good reproducibility (ICCs ≥ 0.40 and < 0.75) for 17 of 19 investigated immune markers, including IL10, IL13, TNFa, CXCL13, MCP-3, MIP-1a, MIP-1b, fractalkine, VEGF, FGF-2, TGFa, sIL2Ra, sIL6R, sTNF-R1, sTNF-R2, sCD27, and sCD30. Reproducibility was strong (ICC ≥ 0.75) for sCD23, while reproducibility was poor (ICC < 0.40) for sVEGF-R2. Using a more stringent criterion for reproducibility (ICC ≥ 0.55), we observed either acceptable or better reproducibility for IL10, IL13, CXCL13, MCP-3, MIP-1a, MIP-1b, VEGF, FGF-2, sTNF-R1, sCD23, sCD27, and sCD30. Conclusions: IL10, IL13, CXCL13, MCP-3, MIP-1a, MIP-1b, VEGF, FGF-2, sTNF-R1, sCD23, sCD27, and sCD30 displayed ICCs consistent with intraindividual long-term stability in cancer-free individuals. Impact: Our data support using these markers in prospective longitudinal studies seeking early cancer detection biomarkers.

Original languageEnglish
Pages (from-to)2052-2058
Number of pages7
JournalCancer Epidemiology Biomarkers and Prevention
Volume30
Issue number11
Early online date23 Aug 2021
DOIs
Publication statusPublished - 1 Nov 2021

Bibliographical note

Funding Information:
We wish to thank the Biobank Research Unit at Ume? University, VIP, MA, and the County Council of Vasterbotten for providing data and samples and acknowledge the contribution from Biobank Sweden, supported by the Swedish Research Council (VR 2017-00650). The study was funded by the Cancer Research Foundation in Northern Sweden (F. Spath) and the regional agreement between Ume? University and Vasterbotten County Council (ALF; F. Spath).

Funding Information:
We wish to thank the Biobank Research Unit at Umea° University, VIP, MA, and the County Council of V€asterbotten for providing data and samples and acknowledge the contribution from Biobank Sweden, supported by the Swedish Research Council (VR 2017-00650). The study was funded by the Cancer Research Foundation in Northern Sweden (F. Sp€ath) and the regional agreement between Umea° University and V€asterbotten County Council (ALF; F. Sp€ath).

Funding Information:
F. Sp€ath reports grants from Cancer Research Foundation in Northern Sweden during the conduct of the study. I.A. Bergdahl reports grants from Swedish Research Council during the conduct of the study. No disclosures were reported by the other authors.

Publisher Copyright:
© 2021 American Association for Cancer Research

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