Evidence map›Paper›PMID 41173826›Full record

Observational studyTranslational psychiatry2025

Brain metabolic vulnerability in 18-F FDG PET/CT predict future depression risk in young cancer survivors.

Nianqi Liu, Jingjie Sun, Yongluo Jiang, Shenrui Bai, Youlong Wang, Jun Lu, Weidong Wang, Pengfei Zhu, Guangmin Jian, Jiling Zeng and 3 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Translational psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Nianqi Liu *Faculty of Psychology, Institute of Educational Science, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0002-5520-1075
Jingjie Sun *Department of Oncology, the Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong Province, China.
Yongluo Jiang *Department of Nuclear Medicine, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong Province, China.
Shenrui BaiDepartment of Haematological Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong Province, China.
Youlong WangDepartment of General Surgery, Hainan Hospital of People's Liberation Army General Hospital, Sanya, Hainan Province, China.
Jun LuDepartment of Hepatobiliary Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Weidong WangDepartment of Orthopedics and Spine Surgery, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Pengfei ZhuDepartment of Clinical Laboratory & Key Clinical Laboratory of Henan province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guangmin JianDepartment of Clinical Laboratory & Key Clinical Laboratory of Henan province, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiling ZengDepartment of Nuclear Medicine, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong Province, China.
Xinjia WangDepartment of Orthopedics and Spine Surgery, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Jianwen ChenFaculty of Psychology, Institute of Educational Science, Huazhong University of Science and Technology, Wuhan, China. chenjianwen@hust.edu.cn.
Yifei MaDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian Province, China. myf61872169@163.com.ORCID http://orcid.org/0000-0003-1305-3577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescent and early young adult (AeYA) cancer survivors (aged 15-25 years) face elevated risks of depression following remission. Emerging evidence suggests that brain metabolic vulnerability, detectable via 18-F FDG PET/CT, may serve as a sentinel biomarker for latent depression risk. To investigate this hypothesis, we conducted a multicenter longitudinal study in two independent cohorts (n = 923 discovery, n = 518 validation) in which participants underwent sequential PET/CT scans and were followed for 3 years (mean follow-up: 29.58 ± 10.01 months). Reduced SUVmean values in the ventral prefrontal cortex, hippocampus, and amygdala predominantly predicted future depression onset after adjusting for clinical, psychosocial, and treatment-related confounders. A radiomic nomogram integrating these metabolic parameters demonstrated robust predictive accuracy (C-index: 0.91 discovery, 0.88 validation). By identifying neurobiological susceptibility years before symptom emergence, this study points to 18-F FDG PET/CT as a clinically actionable tool for preemptive depression risk stratification in AeYA survivors, thus repurposing 18F-FDG PET/CT from tumor management surveillance to preemptive depression risk screening.

Indexed as

BrainCancer SurvivorsDepressionPositron Emission Tomography Computed TomographyAdolescentAdultAmygdalaFemaleFluorodeoxyglucose F18HippocampusHumansLongitudinal StudiesMalePrefrontal CortexRadiopharmaceuticalsYoung AdultFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID41173826
PMCPMC12578994

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.