Evidence map›Paper›PMID 36591293›Full record

ArticleFrontiers in immunology2022

Fatty acid metabolism is related to the immune microenvironment changes of gastric cancer and RGS2 is a new tumor biomarker.

Shifeng Yang, Boshi Sun, Wenjing Li, Hao Yang, Nana Li, Xinyu Zhang

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 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.1field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Shifeng YangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Boshi SunDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Wenjing LiDepartment of Otorhinolaryngology, Head and Neck Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Hao YangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Nana LiDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xinyu ZhangDepartment of General Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Second Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alterations in lipid metabolism promote tumor progression. However, the role of lipid metabolism in the occurrence and development of gastric cancer have not been fully clarified. Method: Here, genes that are related to fatty acid metabolism and differentially-expressed between normal and gastric cancer tissues were identified in the TCGA-STAD cohort. The intersection of identified differentially-expressed genes with Geneset was determined to obtain 78 fatty acid metabolism-related genes. The ConsensusClusterPlus R package was used to perform differentially-expressed genes, which yielded divided two gastric cancer subtypes termed cluster 1 and cluster 2. Results: Patients in cluster 2 was found to display poorer prognosis than patients in cluster 1. Using machine learning method to select 8 differentially expressed genes among subtypes to construct fatty acid prognostic risk score model (FARS), which was found to display good prognostic efficacy. We also identified that certain anticancer drugs, such as bortezomib, elesclomol, GW843682X, and nilotinib, showed significant sensitivity in the high FARS score group. RGS2 was selected as the core gene upon an analysis of the gastric cancer single-cell, and Western blotting and immunofluorescence staining results revealed high level of expression of this gene in gastric cancer cells. The results of immunohistochemical staining showed that a large amount of RGS2 was deposited in the stroma in gastric cancer. A pan-cancer analysis also revealed a significant association of RGS2 with TMB, TIDE, and CD8+ T-cell infiltration in other cancer types as well. RGS2 may thus be studied further as a new target for immunotherapy in future studies on gastric cancer. Conclusion: In summary, the FARS model developed here enhances our understanding of lipid metabolism in the TME in gastric cancer, and provides a theoretical basis for predicting tumor prognosis and clinical treatment.

Indexed as

Biomarkers, TumorFatty AcidsRGS ProteinsStomach NeoplasmsTumor MicroenvironmentAntineoplastic AgentsBlotting, WesternHumansMachine LearningPrognosisAntineoplastic AgentsBiomarkers, TumorFatty AcidsRGS2 protein, humanRGS Proteinsfatty acidgastric cancerimmunotherapymachine learningtumor microenvironment

Identifiers

PMID36591293
PMCPMC9797045
OpenAlexW4311356952

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LicenceCC BY
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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.