Evidence map›Paper›PMID 33791842›Full record

ArticleArchives of gynecology and obstetrics2021

Identification of potential biomarkers and metabolic pathways based on integration of metabolomic and transcriptomic data in the development of breast cancer.

Yifei Yang, Yunhua Zhu, Xiaoyan Li, Xiuxia Zhang, Bin Yu

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of gynecology and obstetrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

5 authors at 1 institution in 1 country.

Yifei YangDepartment of Thyroid Mammary Surgery, The First People's Hospital of Yuhang, No. 369 Yingbin Road, Linping, Yuhang District, Hangzhou, 330110, Zhejiang, China.
Yunhua ZhuDepartment of Thyroid Mammary Surgery, The First People's Hospital of Yuhang, No. 369 Yingbin Road, Linping, Yuhang District, Hangzhou, 330110, Zhejiang, China.
Xiaoyan LiDepartment of Thyroid Mammary Surgery, The First People's Hospital of Yuhang, No. 369 Yingbin Road, Linping, Yuhang District, Hangzhou, 330110, Zhejiang, China.
Xiuxia ZhangDepartment of Thyroid Mammary Surgery, The First People's Hospital of Yuhang, No. 369 Yingbin Road, Linping, Yuhang District, Hangzhou, 330110, Zhejiang, China.
Bin YuDepartment of Thyroid Mammary Surgery, The First People's Hospital of Yuhang, No. 369 Yingbin Road, Linping, Yuhang District, Hangzhou, 330110, Zhejiang, China. buyou489890@163.com.ORCID http://orcid.org/0000-0002-0151-0083
First People's Hospital of Yuhang District · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBreast cancer (BC) is the most common type of malignant tumor and the most common cause of cancer-related mortality among women. Metabolic reprogramming is considered a hallmark of cancer, and the study of BC metabolism may be the key to the development of new strategies for diagnosis and treatment. In this study, we aimed to explore the potential metabolites and gene biomarkers for BC through the integration of metabolomics and transcriptomic data, which could further understand BC tumor biology.

methodsTranscriptome dataset GSE139038 was downloaded to explore the differentially expressed genes (DEGs) between BC and normal control (NC) samples. Metabolomics dataset MTBLS326 was downloaded and preprocessed to obtain altered metabolites. Then, the principal component analysis (PCA) and linear models were used to reveal DEGs-metabolites relations. Finally, the pathway enrichment analysis of altered metabolites was performed.

resultsA total of 280 DEGs and eight metabolites were explored between BC and NC samples. The liner module analysis investigated 28 DEGs-metabolites interactions including WASP family member 3 (WASF3)-lactate, ras-related protein Rab-7B (RAB7B)-lactate, and methyltransferase-like 7A (METTL7A)-pyruvate. Finally, pathways analysis showed that these metabolites (such as lactate and pyruvate) were mainly enriched in pathways like disorders of the Krebs cycle.

conclusionsCombining with the transcriptomic and metabolomics data, we found that lactate, pyruvate, WASF3, RAB7B, and METTL7A might be used as novel biomarkers and potential therapeutic targets for BC. In addition, the disorders of the Krebs cycle pathway might affect the progression of BC.

Indexed as

Breast NeoplasmsMetabolomicsTranscriptomeBiomarkers, TumorFemaleGene Expression ProfilingHumansMetabolic Networks and PathwaysWiskott-Aldrich Syndrome Protein FamilyBiomarkers, TumorWASF3 protein, humanWiskott-Aldrich Syndrome Protein FamilyBiomarkerBreast cancerDifferentially expressed genesMetabolitesPathway

Identifiers

PMID33791842
OpenAlexW3140408388

What OpenQuestion holds

Textmetadata
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.