Evidence map›Paper›PMID 37596508›Full record

ArticleBiochemical genetics2024

Screening Single Nucleotide Polymorphisms Predicting the Efficacy of Electroacupuncture for Fatigue Treatment in Patients with Breast Cancer Following Adjuvant Chemotherapy.

Fuxing Zhao, Guoshuang Shen, Dengfeng Ren, Miaozhou Wang, Zhen Liu, Yi Zhao, Qiqi Xie, Zhilin Liu, Zitao Li, Lihong Gao and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 72% of its field
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 0 citations in OpenAlex.

  1. The effectiveness of electroacupuncture in the treatment of cancer-related fatigue: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
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

11 authors at 2 institutions in 1 country.

Fuxing Zhao *Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Guoshuang Shen *Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Dengfeng Ren *Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Miaozhou WangBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Zhen LiuBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Yi ZhaoBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Qiqi XieBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Zhilin LiuBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Zitao LiBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
Lihong GaoThe Fifth People's Hospital of Qinghai Province, The First Ward of Oncology, Xining, 810000, China.
Jiuda ZhaoBreast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China. jiudazhao@126.com.
Qinghai University Affiliated Hospital · CNQinghai No.3 People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemotherapy-induced fatigue reduces not only the quality of life of patients but also effect their recurrence-free survival rate. Although electroacupuncture can relieve fatigue, it has limited affect on some patients. Therefore, appropriate biomarkers are needed to help screen patients who can benefit from electroacupuncture treatment of fatigue. We conducted this study to explore the predictive ability of SNPs on the efficacy of electroacupuncture in the treatment of fatigue in patients with breast cancer after adjuvant chemotherapy. Our study included breast cancer patients with fatigue after receiving paclitaxel and/or anthracycline based adjuvant chemotherapy. The patients were divided into the electroacupuncture group and the control group. The electroacupuncture treatment group received adjuvant chemotherapy and electroacupuncture treatment, while the control group only received adjuvant chemotherapy, and then compared the fatigue relief degree of two groups. In addition, we used NCBI dbSNP and PharmGKB databases to select fatigue related genes and their SNPs. We collected peripheral blood from the included patients for SNPs typing, and recorded the efficacy of electroacupuncture to analyzed the correlation between different SNPs and therapeutic efficacy. The side effects of electroacupuncture treatment were also recorded. 76 patients in the electroacupuncture group and 48 patients in the control group were enrolled. In the electroacupuncture group, 63 patients (82.9%) experienced moderate to severe fatigue (BFI score > 3). After electroacupuncture treatment, the number of patients with a BFI score of > 3 was 46 (60.5%). Therefore, the fatigue symptoms of 26.9% patients were significantly improved (P < 0.05). In the control group, which did not receive electroacupuncture treatment, 40 of 48 patients had a BFI score of > 3. Following the same observation time used in the electroacupuncture group, 36 patients had a BFI score of > 3 points. Thus, fatigue was not significantly relieved in the control group (83.3% vs. 75.0%, P > 0.05). We included 56 patients in our analysis of the correlation between SNPs and electroacupuncture treatment effects. We divided the patients into an effective group and ineffective group according to therapeutic effects. Our results indicated that the effective rate of electroacupuncture treatment with IL1A rs3783550 AC and CC genotypes was higher than that with other genotypes (AC: 84.6%, CC: 81.8%, AA: 33.0%, P < 0.05). Similarly, the effective rate of electroacupuncture treatment with HTR1A rs6295 GG and CC genotypes was higher than that with other genotypes (GG: 63.0%, CC: 55.6%, GC: 18.2%, P < 0.05). However, no other genotypes were related to the effect of electroacupuncture treatment on fatigue. Our result showed that electroacupuncture has therapeutic effect on fatigue after adjuvant chemotherapy for breast cancer and the side effects are tolerable. In addition, IL1A rs3763550 and HTR1A rss6295 can predict the therapeutic effect of electroacupuncture on fatigue after adjuvant chemotherapy in breast cancer, which helps to better screen patients who can benefit from electroacupuncture treatment.

Indexed as

Breast NeoplasmsElectroacupunctureChemotherapy, AdjuvantEarly Detection of CancerFatigueFemaleHumansPolymorphism, Single NucleotideQuality of LifeBreast cancerElectroacupunctureFatigueSingle nucleotide polymorphisms

Identifiers

PMID37596508
OpenAlexW4385971289

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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.