Evidence map›Paper›PMID 41869447›Full record

ReviewJournal of Cancer2026

Molecular Mechanisms of Symptom Fluctuations in Malignant Tumor Patients: Stable by Day and Severe at Night.

Zhongxuan Xie, Wei Jin, Juezhou Pang, Kangshuo Hu, Lihong Li

Abstract readReview
In one paragraph

Review in Journal of 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.

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

5 authors.

Zhongxuan XieThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province 310000, PR China.
Wei JinSchool of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, PR China.
Juezhou PangThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province 310000, PR China.
Kangshuo HuThe Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province 310000, PR China.
Lihong LiThe Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province 310005, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with malignant tumors often experience fluctuations in the severity of their symptoms depending on the time of day. In traditional Chinese medicine, symptoms are said to follow a pattern of "mild in the morning, stable by day, worsening in the evening, and severe at night." This article investigates the circadian chronobiology of symptoms and examines their molecular pathophysiology. Evidence suggests that disruptions in core circadian clock genes, such as BMAL1 and PER, along with the dysregulation of cellular metabolic pathways, immune responses, and endocrine functions, synergistically facilitate tumor growth and metastasis during nocturnal periods. These molecular alterations contribute to symptom exacerbation through mechanisms which include direct tumor invasion, neural infiltration, inflammatory processes, dorsal root ganglion (DRG) sensitization, and abnormal melatonin secretion. The article further explores three chronotherapeutic strategies and assesses melatonin's role in targeted oncological therapy, aiming to optimize circadian regulation and symptom management, thereby providing a scientific foundation for personalized anti-tumor interventions that are based on circadian rhythms.

Indexed as

biological clockcircadian rhythmimmune rhythmmolecular mechanismstumor symptoms

Identifiers

PMID41869447
PMCPMC13003552

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.