Evidence map›Paper›PMID 37122728›Full record

ArticleFrontiers in immunology2023

Investigating the role of FADS family members in breast cancer based on bioinformatic analysis and experimental validation.

Tingting Zhao, Pingping Gao, Yanling Li, Hao Tian, Dandan Ma, Na Sun, Ceshi Chen, Yi Zhang, Xiaowei Qi

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Tingting ZhaoDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Pingping GaoDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Yanling LiDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Hao TianDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Dandan MaDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Na SunDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Ceshi ChenDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Yi ZhangDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Xiaowei QiDepartment of Breast and Thyroid Surgery, Southwest Hospital, Third Military Medical University, Chongqing, China.
Army Medical University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is the most common malignant tumor in women worldwide. Emerging evidence indicates the significance of fatty acid metabolism in BC. Fatty acid desaturase (FADS) is closely associated with cancer occurrence and development. Here, bioinformatic analysis and experimental validation were applied to investigate the potential functions of FADS in BC. Several public databases, including TCGA, GEO, HPA, Kaplan-Meier plotter, STRING, DAVID, cBioPortal, TIMER, TRRUST, and LinkedOmics were used to determine mRNA/protein expression levels, prognostic significance, functional enrichment, genetic alterations, association with tumor-infiltrating immune cells, and related transcription factors and kinases. BC tissues showed higher and lower mRNA expression of FADS2/6/8 and FADS3/4/5, respectively. FADS1/2/6 and FADS3/4/5 showed higher and lower protein expression levels, respectively, in BC tissues. Moreover, FADS1/7 up- and FADS3/8 down-regulation predicted poor overall and recurrence-free survival, while FADS2/5 up- and FADS4 down-regulation were associated with poor recurrence-free survival. Receiver operating characteristic curves revealed that FADS2/3/4/8 were indicative diagnostic markers. FADS family members showing differential expression levels were associated with various clinical subtypes, clinical stages, lymph node metastasis status, copy number variants, DNA methylation, and miRNA regulation in BC. The mRNA expression level of FADS1/2/3/4/5/7/8 was observed to be significantly negatively correlated with DNA methylation. FADS1/2 upregulation was significantly correlated with clinical stages. FADS1/4 expression was obviously lower in BC patients with higher lymph node metastasis than lower lymph node metastasis, while FADS7/8 expression was obviously higher in BC patients with higher lymph node metastasis than lower lymph node metastasis. FADS family members showed varying degrees of genetic alterations, and Gene Ontology and KEGG pathway enrichment analyses suggested their involvement in lipid metabolism. Their expression level was correlated with immune cell infiltration levels. FADS2 was chosen for further validation analyses. We found FADS2 to be significantly over-expressed in clinical BC tissue samples. The proliferation, migration, and invasion abilities of MDA-MB-231 and BT474 cells were significantly reduced after FADS2 knockdown. Furthermore, FADS2 may promote the occurrence and development of BC cells

Indexed as

Breast NeoplasmsFatty Acid DesaturasesComputational BiologyFemaleHumansLymphatic MetastasisRNA, MessengerFatty Acid DesaturasesRNA, Messengerbioinformaticsbreast cancerfatty acid desaturaseimmunityprognosis

Identifiers

PMID37122728
PMCPMC10130515
OpenAlexW4364360575

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.