Cancer-related fatigue: Towards a more targeted approach based on classification by biomarkers and psychological factors
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Cancer-related fatigue: Towards a more targeted approach based on classification by biomarkers and psychological factors. / Schmidt, Martina E; Maurer, Tabea; Behrens, Sabine; Seibold, Petra; Obi, Nadia; Chang-Claude, Jenny; Steindorf, Karen.
in: INT J CANCER, Jahrgang 154, Nr. 6, 15.03.2024, S. 1011-1018.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Cancer-related fatigue: Towards a more targeted approach based on classification by biomarkers and psychological factors
AU - Schmidt, Martina E
AU - Maurer, Tabea
AU - Behrens, Sabine
AU - Seibold, Petra
AU - Obi, Nadia
AU - Chang-Claude, Jenny
AU - Steindorf, Karen
PY - 2024/3/15
Y1 - 2024/3/15
N2 - Cancer-related fatigue is a frequent, burdensome and often insufficiently treatedsymptom. A more targeted treatment of fatigue is urgently needed. Therefore, weexamined biomarkers and clinical factors to identify fatigue subtypes with potentiallydifferent pathophysiologies. The study population comprised disease-free breast can-cer survivors of a German population-based case-control study who were re-assessed on average 6 (FU1, n=1871) and 11 years (FU2, n=1295) after diagnosis.At FU1 and FU2, we assessed fatigue with the 20-item multidimensional FatigueAssessment Questionnaire and further factors by structured telephone-interviews.Serum samples collected at FU1 were analyzed for IL-1ß, IL-2, IL-4, IL-6, IL-10,TNF-a, GM-CSF, IL-5, VEGF-A, SAA, CRP, VCAM-1, ICAM-1, leptin, adiponectin andresistin. Exploratory cluster analyses among survivors with fatigue at FU1 and no his-tory of depression yielded three clusters (CL1, CL2 and CL3). CL1 (n=195) on aver-age had high levels of TNF-α, IL1-β, IL-6, resistin, VEGF-A and GM-CSF, and showedhigh BMI and pain levels. Fatigue in CL1 manifested rather in physical dimensions.Contrarily, CL2 (n=78) was characterized by high leptin level and had highest cogni-tive fatigue. CL3 (n=318) did not show any prominent characteristics. Fatigued sur-vivors with a history of depression (n=214) had significantly higher physical,emotional and cognitive fatigue and showed significantly less amelioration of fatiguefrom FU1 to FU2 than survivors without depression. In conclusion, from the broadphenotype“cancer-related fatigue”we were able to delineate subgroups character-ized by biomarkers or history of depression. Future investigations may take thesesubtypes into account, ultimately enabling a better targeted therapy of fatigue.
AB - Cancer-related fatigue is a frequent, burdensome and often insufficiently treatedsymptom. A more targeted treatment of fatigue is urgently needed. Therefore, weexamined biomarkers and clinical factors to identify fatigue subtypes with potentiallydifferent pathophysiologies. The study population comprised disease-free breast can-cer survivors of a German population-based case-control study who were re-assessed on average 6 (FU1, n=1871) and 11 years (FU2, n=1295) after diagnosis.At FU1 and FU2, we assessed fatigue with the 20-item multidimensional FatigueAssessment Questionnaire and further factors by structured telephone-interviews.Serum samples collected at FU1 were analyzed for IL-1ß, IL-2, IL-4, IL-6, IL-10,TNF-a, GM-CSF, IL-5, VEGF-A, SAA, CRP, VCAM-1, ICAM-1, leptin, adiponectin andresistin. Exploratory cluster analyses among survivors with fatigue at FU1 and no his-tory of depression yielded three clusters (CL1, CL2 and CL3). CL1 (n=195) on aver-age had high levels of TNF-α, IL1-β, IL-6, resistin, VEGF-A and GM-CSF, and showedhigh BMI and pain levels. Fatigue in CL1 manifested rather in physical dimensions.Contrarily, CL2 (n=78) was characterized by high leptin level and had highest cogni-tive fatigue. CL3 (n=318) did not show any prominent characteristics. Fatigued sur-vivors with a history of depression (n=214) had significantly higher physical,emotional and cognitive fatigue and showed significantly less amelioration of fatiguefrom FU1 to FU2 than survivors without depression. In conclusion, from the broadphenotype“cancer-related fatigue”we were able to delineate subgroups character-ized by biomarkers or history of depression. Future investigations may take thesesubtypes into account, ultimately enabling a better targeted therapy of fatigue.
U2 - 10.1002/ijc.34791
DO - 10.1002/ijc.34791
M3 - SCORING: Journal article
C2 - 37950650
VL - 154
SP - 1011
EP - 1018
JO - INT J CANCER
JF - INT J CANCER
SN - 0020-7136
IS - 6
ER -