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Clinical Trial
. 2019 Jul;28(4):e13055.
doi: 10.1111/ecc.13055. Epub 2019 Apr 24.

Inflammation- and angiogenesis-related biomarkers are correlated with cancer-related fatigue in colorectal cancer patients: Results from the ColoCare Study

Affiliations
Clinical Trial

Inflammation- and angiogenesis-related biomarkers are correlated with cancer-related fatigue in colorectal cancer patients: Results from the ColoCare Study

Caroline Himbert et al. Eur J Cancer Care (Engl). 2019 Jul.

Abstract

Cancer-related fatigue is one of the most common side effects of colorectal cancer treatment and is affected by biomedical factors. We investigated the association of inflammation- and angiogenesis-related biomarkers with cancer-related fatigue. Pre-surgery (baseline) serum samples were obtained from n = 236 newly diagnosed colorectal cancer patients. Meso Scale Discovery assays were performed to measure levels of biomarkers for inflammation and angiogenesis (CRP, SAA, IL-6, IL-8, MCP-1, sICAM-1, sVCAM-1, TNFα, VEGFA and VEGFD). Cancer-related fatigue was assessed with the EORTC QLQ-30 questionnaire at baseline and 6 and 12 months post-surgery. We tested associations using Spearman's partial correlations and logistic regression analyses, adjusting for age, sex and body mass index. sICAM-1 and VEGFD showed a significant positive correlation with cancer-related fatigue at baseline and 6-, and 12-month follow-up (sICAM-1: r = 0.19, p = 0.010; r = 0.24, p = 0.004; r = 0.25, p = 0.006; VEGFD: r = 0.20, p = 0.006; r = 0.15, p = 0.06; r = 0.23, p = 0.01 respectively). Biomarkers of inflammation and angiogenesis measured prior to surgery are associated with cancer-related fatigue in colorectal cancer patients throughout various time points. Our results suggest the involvement of overexpressed sICAM-1 and VEGFD in the development of fatigue.

Keywords: angiogenesis; biomarker; colorectal cancer; fatigue; inflammation.

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Conflict of interest statement

Conflicts of interest

C.M.U. has as cancer center director oversight over research funded by several pharmaceutical companies, but has not received funding directly herself.

Figures

Figure 1:
Figure 1:
Study population selection process.
Figure 2:
Figure 2:. Differences in sICAM-1 and VEGFD levels between patients classified by tertiles of fatigue scores.
(A+D) baseline, (B+E) 6 months, and (C+F) 12 months (low (0–22.2), medium (22.3–44.4), and high (44.5–100)). Box-and-whisker-plots represent data with vboxes ranging from the 25th to 75th percentile, horizontal lines (median) and diamond (mean) of sICAM-1 (mg/l) and VEGFD levels (pg/ml) measured at baseline. Whiskers span minimum to maximum observed values. P-value is calculated for the differences between the three categories (low, medium, and high)

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