Evidence map›Paper›PMID 38988914›Full record

ArticleTranslational cancer research2024

Screening of postoperative adjuvant chemotherapy-related serum metabolic markers in breast cancer patients based on

Ranran Hou, Wenbin Huang, Yufeng Lin, Weiping Li, Jianwei Dong, Xinping Huang, Man Xu, Qian Li, Yongcheng Zhang, Yongxia Yang

Abstract read
In one paragraph

Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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. Article
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

10 authors.

Ranran Hou *School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou, China.
Wenbin Huang *Department of Breast Care Surgery, The First Affiliated Hospital/School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Yufeng LinDepartment of Breast Care Surgery, The First Affiliated Hospital/School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Weiping LiDepartment of Breast Care Surgery, The First Affiliated Hospital/School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Jianwei DongSchool of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.
Xinping HuangSchool of Basic Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Man XuSchool of Basic Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Qian LiSchool of Basic Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Yongcheng ZhangDepartment of Breast Care Surgery, The First Affiliated Hospital/School of Clinical Medicine, Guangdong Pharmaceutical University, Guangzhou, China.
Yongxia YangSchool of Medical Information and Engineering, Guangdong Pharmaceutical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-0651-8674

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer (BC) has the highest incidence rate among female malignant tumors. Adjuvant chemotherapy is commonly used to reduce micrometastasis in postoperative patients. However, monitoring the efficacy of chemotherapy in BC is a major challenge in clinical practice. In this study, Methods: In this study, we collected serum samples from 51 healthy controls and 61 BC patients before and after chemotherapy for Results: Nine metabolites, namely glutamine, citrate, creatine, glycerophosphatidylcholine/phosphatidylcholine, glycine, 1-methylhistidine, lactate, pyruvate and formate had significant changes in BC patients before chemotherapy compared with healthy controls. Lactate, pyruvate, 1-methylhistidine and formate were found to be inversely regulated by chemotherapy. ROC analysis showed that a combination of the four metabolites had good prediction for chemotherapy efficacy with area under the curve of 0.958, sensitivity of 98.36% and specificity of 91.30%. There was no significant correlation between chemotherapy-related metabolites and clinical indicators of cancer patients, indicating that they can be used to evaluate the chemotherapy efficacy of patients with different clinical indicators. Conclusions: Effectively, dynamic and non-invasive metabolic markers for the evaluation of the efficacy of chemotherapy were identified in this study.

Indexed as

1H nuclear magnetic resonance (1H NMR)biomarkerbreast cancer (BC)chemotherapyMetabonomics

Identifiers

PMID38988914
PMCPMC11231764

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