Evidence map›Paper›PMID 38604109›Full record

ArticleTranslational oncology2024

Resonance of fatty acid metabolism and immune infiltration in anti-PD-1 monotherapy for breast cancer.

Andi Zhao, Jin Yang, Ran Ran, Shidi Zhao, Yuxin Cui, Fang Hu, Yan Zhou

Open access · goldAbstract read
In one paragraph

Article in Translational oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 91% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. Review
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

7 authors at 1 institution in 1 country.

Andi ZhaoCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Department of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jin YangCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Precision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Department of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Phase I Clinical Trial Ward, The First Affiliated Hospital of Xi'an Jiaotong University, China.
Ran RanCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Department of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shidi ZhaoCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Department of Medical Oncology, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yuxin CuiCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Phase I Clinical Trial Ward, The First Affiliated Hospital of Xi'an Jiaotong University, China.
Fang HuPrecision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Phase I Clinical Trial Ward, The First Affiliated Hospital of Xi'an Jiaotong University, China.
Yan ZhouCancer Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Precision Medicine Center, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China; Phase I Clinical Trial Ward, The First Affiliated Hospital of Xi'an Jiaotong University, China. Electronic address: zhouyan24680@stu.xjtu.edu.cn.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interaction between tumor fatty acid metabolism and immune microenvironment is a novel topic in oncology research, and the relationship of lipid-derived factors with immune editing in tumor is unclear. The breast cancer samples from the TCGA database were used as the training set, and samples from GSE42568 were employed as the validation set for constructing a model to identify a signature associated with fatty acid metabolism through Lasso Cox regression. And the changes in immune related signatures and risk score before and after anti-PD-1 monotherapy were caught by the differential analysis in GSE225078. A 14-gene prognostic risk scoring model identifying by fatty acid metabolism relevant signature was conducted, and the high risk group had shorter overall survival and progression free survival than low risk group. Many metabolism-related pathways were enriched in the high risk group, and many immune-related pathways were enriched in low risk group. The crucial differentially expressed genes between the high/low risk groups, CYP4F8 and CD52, were found to be strongly associated with SUCLA2 and ACOT4 of 14-gene model, and strongly related to immune infiltration. Immune related signatures, fatty acid metabolism-risk score and the expression level of ALDH1A1 (in 14-gene-model) changed after anti-PD-1 monotherapy. And the mice model results also showed anti-PD-1 mAb could significantly reduce the expression level of ALDH1A1 (p < 0.01). These results brought up the crosstalk between immune components and fatty acid metabolism in breast cancer microenvironment, which provided a new possibility of targeting fatty acid metabolism for combination therapy in breast cancer immunotherapy.

Indexed as

Biomarkers of breast cancerFatty acid metabolismImmunogeneticsTumor immune microenvironmentTumor immunology

Identifiers

PMID38604109
PMCPMC11024218
OpenAlexW4394741689

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.