Evidence map›Paper›PMID 40032903›Full record

ArticleScientific reports2025

Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy.

Jiachen Sun, Sai Kit Edmond Lam, Xinzhi Teng, Jiang Zhang, Francis Kar-Ho Lee, Celia Wai-Yi Yip, James Chung-Hang Chow, Victor Ho-Fun Lee, Ying Sun, Jing Cai

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jiachen SunDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Sai Kit Edmond LamDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Xinzhi TengDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Jiang ZhangDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong.
Francis Kar-Ho LeeDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Celia Wai-Yi YipDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.
James Chung-Hang ChowDepartment of Clinical Oncology, Queen Elizabeth Hospital, Kowloon, Hong Kong.
Victor Ho-Fun LeeDepartment of Clinical Oncology, The University of Hong Kong, Pok Fu Lam, Hong Kong.
Ying SunState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnostics and Therapy, Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, China.
Jing CaiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. jing.cai@polyu.edu.hk.

Funding

Mainland-Hong Kong Joint Funding Scheme MHP/005/20Shenzhen Basic Research Program JCYJ20210324130209023Shenzhen-Hong Kong-Macau S&T Program (Category C) SGDX20201103095002019The Hong Kong Polytechnic University P0035421
6 · The paper itself

Abstract

Bodyweight loss is a common occurrence in Nasopharyngeal Carcinoma (NPC) patients during Radiotherapy (RT). Previous studies found that the prognostic value of percentage weight loss (pWL) during RT is not credible. We aimed to develop a novel progression predictor surrogated to pWL by modelling all bodyweight records measured during the treatment interval. This retrospective study included two independent hospitals of 624 patients. The Predicted Progression Probability (PPP) was obtained from deep learning-guided differential equation solution, model by the patient's age, sex, body height, and the weekly measured bodyweight records. The performance of PPP in predicting disease progression was assessed, its association with prognosis and adjuvant chemotherapy response was evaluated. The PPP was learnt from the training cohort (N = 257) with 7 weeks of bodyweight records. The prediction performance was validated with 367 patients of the testing cohort sub-divided according to the number of bodyweight records found. The area under of curve for patients with 7 weeks (N = 155), 6 weeks (N = 176), and 5 weeks bodyweight records (N = 32) were 0.76, 0.73, and 0.95 respectively. PPP was significantly associated with progression-free and remained an independent prognostic factor adjusting for clinicopathologic variables in multivariate analysis in all study cohort (adjusted hazard ratio [HR] range: 2.50-7.04, all p < 0.001). Patients with high-PPP derived progression benefit from adjuvant chemotherapy (HR: 0.41-0.54, all p < 0.03), whereas those with low-PPP did not for both cohorts. The trajectory of bodyweight change during RT is more robust than the pWL to give a progression prediction after RT. The PPP is a reliable predictor for estimating the risk of residual diseases after RT course, which also helps to predict adjuvant chemotherapy response in locally advanced NPC patients.

Indexed as

Body WeightNasopharyngeal CarcinomaNasopharyngeal NeoplasmsWeight LossAdultAgedDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesAdjuvant chemotherapyConcurrent chemoradiotherapyDeep learningDifferential equationsNasopharyngeal carcinomaWeight loss

Identifiers

PMID40032903
PMCPMC11876310

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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.