Evidence map›Paper›PMID 42517724›Full record

ArticleCancer2026

Early neural signatures of cancer-related fatigue: A longitudinal magnetic resonance imaging study of cortical micro- and macrostructural changes during breast cancer chemotherapy.

Yanfei Zhou, Jin Liu, Xiao Fu, Jian Fan, Zong Cao, Jing Li, Ruiping Ye, Hongzhi Wang, Lizhuang Yang, Hai Li

Abstract read
In one paragraph

Article in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yanfei ZhouUniversity of Science and Technology of China, Hefei, China.
Jin LiuUniversity of Science and Technology of China, Hefei, China.
Xiao FuHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Jian FanHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Zong CaoUniversity of Science and Technology of China, Hefei, China.
Jing LiHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Ruiping YeHefei Cancer Hospital of CAS, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.
Hongzhi WangUniversity of Science and Technology of China, Hefei, China.
Lizhuang YangUniversity of Science and Technology of China, Hefei, China.
Hai LiUniversity of Science and Technology of China, Hefei, China.ORCID https://orcid.org/0000-0001-8504-5811

Funding

Anhui Provincial Key Research and Development Project 2023s07020001Application Basic Research Program Project of Liaoning Provincial Department of Science and Technology 2025JH2/101330040Key Research Project of China Criminal Police University D2025014National Natural Science Foundation of China 82371931Natural Science Foundation of Anhui Province 2408085MC056
6 · The paper itself

Abstract

backgroundCancer-related fatigue is a prevalent and debilitating symptom in patients with breast cancer (BC) undergoing chemotherapy (CTx), yet its early neural correlates remain incompletely understood.

methodsThis longitudinal study included 61 female patients with BC and 41 healthy female controls assessed before CTx and after two cycles of CTx, or at matched intervals. Assessments included 3T brain magnetic resonance imaging, patient-reported fatigue and quality-of-life measures, clinician-rated affective symptom scales, and an objective cognitive screening measure. Surface-based analyses were used to extract cortical microstructural measures, including cortical mean diffusivity (cMD), and macrostructural measures. Linear mixed-effects models were used to examine longitudinal changes and group-by-time interaction effects in clinical, patient-reported, cognitive, and cortical structural outcomes, as well as their associations during early CTx.

resultsDuring early CTx, patients with BC showed worsening fatigue and worsened emotional well-being, and changes in these outcomes were positively associated. cMD decreased over time in the left isthmus cingulate cortex, and the magnitude of this decrease was associated with worsening fatigue and worsened emotional well-being. Mediation analysis suggested an indirect association between cMD changes in this region and fatigue through worsened emotional well-being.

conclusionThese findings suggest that early increases in fatigue during CTx are linked to worsening emotional well-being and region-specific cortical microstructural changes. The results highlight a potentially informative neural-affective pathway in the early emergence of fatigue, while requiring replication and further validation before clinical translation.

Indexed as

Breast NeoplasmsCerebral CortexFatigueMagnetic Resonance ImagingAdultAgedCase-Control StudiesFemaleHumansLongitudinal StudiesMiddle AgedQuality of Lifebreast cancercancer‐related fatiguechemotherapydiffusionmagnetic resonance imaging

Identifiers

PMID42517724
PMCPMC13411202

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