Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples
No strong aetiological factors have been established for glioma aside from genetic mutations and variants, ionising radiation and an inverse relationship with asthmas and allergies. Our aim was to investigate the association between pre-diagnostic immune protein levels and glioma risk. We conducted...
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Umeå universitet, Onkologi
2022
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ftumeauniv:oai:DiVA.org:umu-191666 2024-02-11T10:07:11+01:00 Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples Wu, Wendy Yi-Ying Späth, Florentin Wibom, Carl Björkblom, Benny Dahlin, Anna M. Melin, Beatrice S. 2022 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191666 https://doi.org/10.1002/cam4.4505 eng eng Umeå universitet, Onkologi Umeå universitet, Kemiska institutionen Cancer Medicine, 2022, 11:4, s. 1016-1025 orcid:0000-0002-6169-5155 orcid:0000-0002-0711-0830 orcid:0000-0001-9347-5790 orcid:0000-0002-6754-2571 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191666 doi:10.1002/cam4.4505 PMID 35029050 ISI:000742347600001 Scopus 2-s2.0-85122760856 info:eu-repo/semantics/openAccess Cancer and Oncology Cancer och onkologi Article in journal info:eu-repo/semantics/article text 2022 ftumeauniv https://doi.org/10.1002/cam4.4505 2024-01-17T23:36:43Z No strong aetiological factors have been established for glioma aside from genetic mutations and variants, ionising radiation and an inverse relationship with asthmas and allergies. Our aim was to investigate the association between pre-diagnostic immune protein levels and glioma risk. We conducted a case–control study nested in the Northern Sweden Health and Disease Study cohort. We analysed 133 glioma cases and 133 control subjects matched by age, sex and date of blood donation. ELISA or Luminex bead-based multiplex assays were used to measure plasma levels of 19 proteins. Conditional logistic regression models were used to estimate the odds ratios and 95% CIs. To further model the protein trajectories over time, the linear mixed-effects models were conducted. We found that the levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R were associated with glioma risk. After adjusting for the time between blood sample collection and glioma diagnosis, the odds ratios were 1.72 (95% CI = 1.01–2.93), 1.48 (95% CI = 1.01–2.16) and 1.90 (95% CI = 1.14–3.17) for sTNFR2, sIL-2Rα and sIL-6R, respectively. The trajectory of sVEGFR2 concentrations over time was different between cases and controls (p-value = 0.031), increasing for cases (0.8% per year) and constant for controls. Our findings suggest these proteins play important roles in gliomagenesis. Article in Journal/Newspaper Northern Sweden Umeå University: Publications (DiVA) Cancer Medicine |
institution |
Open Polar |
collection |
Umeå University: Publications (DiVA) |
op_collection_id |
ftumeauniv |
language |
English |
topic |
Cancer and Oncology Cancer och onkologi |
spellingShingle |
Cancer and Oncology Cancer och onkologi Wu, Wendy Yi-Ying Späth, Florentin Wibom, Carl Björkblom, Benny Dahlin, Anna M. Melin, Beatrice S. Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
topic_facet |
Cancer and Oncology Cancer och onkologi |
description |
No strong aetiological factors have been established for glioma aside from genetic mutations and variants, ionising radiation and an inverse relationship with asthmas and allergies. Our aim was to investigate the association between pre-diagnostic immune protein levels and glioma risk. We conducted a case–control study nested in the Northern Sweden Health and Disease Study cohort. We analysed 133 glioma cases and 133 control subjects matched by age, sex and date of blood donation. ELISA or Luminex bead-based multiplex assays were used to measure plasma levels of 19 proteins. Conditional logistic regression models were used to estimate the odds ratios and 95% CIs. To further model the protein trajectories over time, the linear mixed-effects models were conducted. We found that the levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R were associated with glioma risk. After adjusting for the time between blood sample collection and glioma diagnosis, the odds ratios were 1.72 (95% CI = 1.01–2.93), 1.48 (95% CI = 1.01–2.16) and 1.90 (95% CI = 1.14–3.17) for sTNFR2, sIL-2Rα and sIL-6R, respectively. The trajectory of sVEGFR2 concentrations over time was different between cases and controls (p-value = 0.031), increasing for cases (0.8% per year) and constant for controls. Our findings suggest these proteins play important roles in gliomagenesis. |
format |
Article in Journal/Newspaper |
author |
Wu, Wendy Yi-Ying Späth, Florentin Wibom, Carl Björkblom, Benny Dahlin, Anna M. Melin, Beatrice S. |
author_facet |
Wu, Wendy Yi-Ying Späth, Florentin Wibom, Carl Björkblom, Benny Dahlin, Anna M. Melin, Beatrice S. |
author_sort |
Wu, Wendy Yi-Ying |
title |
Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
title_short |
Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
title_full |
Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
title_fullStr |
Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
title_full_unstemmed |
Pre-diagnostic levels of sVEGFR2, sTNFR2, sIL-2Rα and sIL-6R are associated with glioma risk : A nested case–control study of repeated samples |
title_sort |
pre-diagnostic levels of svegfr2, stnfr2, sil-2rα and sil-6r are associated with glioma risk : a nested case–control study of repeated samples |
publisher |
Umeå universitet, Onkologi |
publishDate |
2022 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191666 https://doi.org/10.1002/cam4.4505 |
genre |
Northern Sweden |
genre_facet |
Northern Sweden |
op_relation |
Cancer Medicine, 2022, 11:4, s. 1016-1025 orcid:0000-0002-6169-5155 orcid:0000-0002-0711-0830 orcid:0000-0001-9347-5790 orcid:0000-0002-6754-2571 http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-191666 doi:10.1002/cam4.4505 PMID 35029050 ISI:000742347600001 Scopus 2-s2.0-85122760856 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1002/cam4.4505 |
container_title |
Cancer Medicine |
_version_ |
1790605338347569152 |