Evidence map›Paper›PMID 35251000›Full record

ArticleFrontiers in immunology2022

Fatty Acid Metabolic Signaling Pathway Alternation Predict Prognosis of Immune Checkpoint Inhibitors in Glioblastoma.

Rongrong Liu, Weidong Liang, Qian Hua, Longqiu Wu, Xiangcai Wang, Qiang Li, Fangjun Zhong, Bin Li, Zhengang Qiu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.3field-weighted citation impact, top 4% 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

5 citing papers in PubMed, 13 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.

Rongrong LiuDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Weidong LiangDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Qian HuaDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Longqiu WuDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Xiangcai WangDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Qiang LiDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Fangjun ZhongDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Bin LiDepartment of Neurology, Ganzhou People's Hospital, Ganzhou, China.
Zhengang QiuDepartment of Oncology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
First Affiliated Hospital of Gannan Medical University · CNGanzhou People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionGlioblastoma(GBM) is a highly malignant primary brain tumor. Even after undergoing surgery and chemotherapy, patients with this affliction still have little to no chance of survival. Current research on immunotherapy treatment for GBM shows that immune-checkpoint inhibitors (ICIs) may be a promising new treatment method. However, at present, the relationship between the fatty acid metabolic process and the prognosis of GBM patients who are receiving immunotherapy is not clear.

methodsFirst, we downloaded a GBM cohort that had been treated with immunotherapy, which included the mutation and prognosis data, and the TCGA-GBM and Jonsson-GBM queues. CIBERSORT and single sample gene set enrichment analysis(ssGSEA) were used to evaluate immune cell scores. Gene set enrichment analysis (GSEA) was used to evaluate the patient's accessment score. The pRRophetic algorithm was used to evaluate the drug sensitivity of each patient. Univariable and multivariate cox regression analyses, as well as the Kaplan-Meier (KM) method, were used to evaluate the relationship between the fatty acid metabolic process and the prognosis of GBM patients.

resultsThe univariate and multivariate cox regression models showed that the fatty acid metabolic process mutant-type (MT) can be used as an independent predictor of the efficacy of immunotherapy for GBM patients. In addition, fatty acid metabolic process MT is related with significantly longer overall survival (OS) time than the wild-type(WT) variant. However, the mutation status of the fatty acid metabolic process has nothing to do with the prognosis of GBM patients who are receiving conventional treatment. Our analysis showed that fatty acid metabolic process MT correlated with significantly increased natural killer T (NKT) cells and significantly decreased CD8+T cells. At the same time, GSEA analysis revealed that fatty acid metabolic process MT was associated with significantly increased immune activation pathways and an enriched fraction of cytokine secretion compared with WT.

conclusionsWe found that fatty acid metabolic process MT may be used as an independent predictor of the efficacy of ICI treatment in GBM patients. Use of the fatty acid metabolic process MT will result in higher immunogenicity rates, a significant increase in the proportion of activated immune cells, and improvement of the immune microenvironment.

Indexed as

GlioblastomaFatty AcidsHumansImmune Checkpoint InhibitorsPrognosisSignal TransductionTumor MicroenvironmentFatty AcidsImmune Checkpoint Inhibitorsfatty acid metabolic processglioblastomaimmune-checkpoint inhibitorsimmunotherapyprognosis

Identifiers

PMID35251000
PMCPMC8894256
OpenAlexW4212905333

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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.