Eline H. van Roekel
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Eline H. van Roekel has a total of 274 co-authors. Here are the top co-authors by number of shared publications:
- Brigid M. Lynch
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
345 shared publications - Ann E. Drummond
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
342 shared publications - Christopher T. V. Swain
Department of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
342 shared publications - Dallas R. English
Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia
342 shared publications - Kristy A. Brown
Department of Cell Biology and Physiology, University of Kansas Medical Center, Kansas City, USA
342 shared publications - Melissa M. Moore
Medical Oncology, St Vincent's Hospital, Melbourne, Australia
342 shared publications
Latest Publications
- Open Access
- 24 February 2026
- Published by Wiley in International Journal of Cancer
- Vol. 159 (1) , 122-143
The mediating role of the kynurenine pathway in longitudinal associations between dietary intake and quality of life in colorectal cancer survivors up to 12 months posttreatment
Previous research has revealed associations between diet and health‐related quality of life (HRQoL), between diet and kynurenine pathway (KP) metabolites (kynurenines), and between kynurenines and HRQoL in colorectal cancer (CRC) survivors. We examined if kynurenines mediate longitudinal associations between diet and HRQoL in CRC survivors up to 12‐months posttreatment. Repeated measurements were performed in 209 stage I–III CRC survivors. Diet was assessed by seven‐day dietary records. Plasma kynurenines were analyzed using LC–MS/MS. HRQoL outcomes were assessed through the validated EORTC QLQ‐C30. We used confounder‐adjusted multilevel parallel‐multiple mediator models with all kynurenines simultaneously and single mediator models with established KP ratios to estimate total ( c :diet‐HRQoL), direct ( c′ :diet‐HRQoL), metabolite‐specific indirect ( ab : diet‐metabolite‐HRQoL), and total indirect ( ab :diet‐metabolites‐HRQoL) effects. Higher carbohydrate intake was associated with worse role functioning, while higher fiber, alcohol, and zinc intake, and better adherence to the Dutch Healthy Diet (DHD) recommendations were associated with better physical and role functioning ( c ‐path). Associations of fiber and DHD with HRQoL remained statistically significant after controlling for all KP metabolites ( c′ ‐path). All kynurenines simultaneously only mediated associations of higher carbohydrate intake with worse role functioning, and of higher alcohol intake with better physical functioning ( ab ). The kynurenic acid‐to‐quinolinic acid (KA/QA) ratio and hydroxykynurenine ratio (HKr) significantly mediated associations of carbohydrate, protein, fat, alcohol, magnesium, and zinc intake, and adherence to DHD recommendations, with physical and role functioning ( ab ). In conclusion, while all kynurenines simultaneously did not mediate diet‐HRQoL associations, the KA/QA ratio and HKr did mediate several associations within the first year after CRC treatment.
- 24 February 2026
- Published by Wiley in International Journal of Cancer
- Vol. 159 (1) , 122-143
Open AccessThe mediating role of the kynurenine pathway in longitudinal associations between dietary intake and quality of life in colorectal cancer survivors up to 12 months posttreatment
Previous research has revealed associations between diet and health‐related quality of life (HRQoL), between diet and kynurenine pathway (KP) metabolites (kynurenines), and between kynurenines and HRQoL in colorectal cancer (CRC) survivors. We examined if kynurenines mediate longitudinal associations between diet and HRQoL in CRC survivors up to 12‐months posttreatment. Repeated measurements were performed in 209 stage I–III CRC survivors. Diet was assessed by seven‐day dietary records. Plasma kynurenines were analyzed using LC–MS/MS. HRQoL outcomes were assessed through the validated EORTC QLQ‐C30. We used confounder‐adjusted multilevel parallel‐multiple mediator models with all kynurenines simultaneously and single mediator models with established KP ratios to estimate total ( c :diet‐HRQoL), direct ( c′ :diet‐HRQoL), metabolite‐specific indirect ( ab : diet‐metabolite‐HRQoL), and total indirect ( ab :diet‐metabolites‐HRQoL) effects. Higher carbohydrate intake was associated with worse role functioning, while higher fiber, alcohol, and zinc intake, and better adherence to the Dutch Healthy Diet (DHD) recommendations were associated with better physical and role functioning ( c ‐path). Associations of fiber and DHD with HRQoL remained statistically significant after controlling for all KP metabolites ( c′ ‐path). All kynurenines simultaneously only mediated associations of higher carbohydrate intake with worse role functioning, and of higher alcohol intake with better physical functioning ( ab ). The kynurenic acid‐to‐quinolinic acid (KA/QA) ratio and hydroxykynurenine ratio (HKr) significantly mediated associations of carbohydrate, protein, fat, alcohol, magnesium, and zinc intake, and adherence to DHD recommendations, with physical and role functioning ( ab ). In conclusion, while all kynurenines simultaneously did not mediate diet‐HRQoL associations, the KA/QA ratio and HKr did mediate several associations within the first year after CRC treatment.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S4 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 4 presents funnel plots for physical activity to inflammatory biomarkers meta-analyses
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 4 presents funnel plots for physical activity to inflammatory biomarkers meta-analyses
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S4 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 4 presents the outcomes of the meta-regression analysis conducted for CRP
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S4 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 4 presents the outcomes of the meta-regression analysis conducted for CRP
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S6B from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 6B presents findings of individual randomised cross-over studies
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S6B from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 6B presents findings of individual randomised cross-over studies
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S3 from Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk
Supplementary Table 3 presents the risk of bias assessment, using the ROBINS-E
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S3 from Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk
Supplementary Table 3 presents the risk of bias assessment, using the ROBINS-E
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S2C from Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk
Supplementary Figure 2C presents the funnel plot from the meta-analysis of TNF-alpha and breast cancer risk
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S2C from Linking Physical Activity to Breast Cancer via Inflammation, Part 2: The Effect of Inflammation on Breast Cancer Risk
Supplementary Figure 2C presents the funnel plot from the meta-analysis of TNF-alpha and breast cancer risk
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S1A from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 1A presents forest plots for physical activity and CRP, by menopausal status
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S1A from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 1A presents forest plots for physical activity and CRP, by menopausal status
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S5 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 5 presents the outcomes of the meta-regression analysis conducted for IL-6
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S5 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 5 presents the outcomes of the meta-regression analysis conducted for IL-6
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S1 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 1 presents the search terminology used in the systematic review
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S1 from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Table 1 presents the search terminology used in the systematic review
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S3A from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 3A presents forest plots for physical activity and IL-6, by menopausal status
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S3A from Linking Physical Activity to Breast Cancer Risk via Inflammation, Part 1: The Effect of Physical Activity on Inflammation
Supplementary Figure 3A presents forest plots for physical activity and IL-6, by menopausal status