Evidence map›Paper›PMID 40397220›Full record

ArticleFunctional & integrative genomics2025

The ferroptosis-related gene GGTLC2 is identified as a novel biomarker for gastric cancer within the GGT family, with associations to immune infiltration and liver metastasis.

Nan Yan, Jianhong Liu, Gaofu Li, Linglin Zhao, Jie Yang, Qijing Guo, Wei Zhou, Yushuang Luo, Yue Gao

Abstract read
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

9 authors.

Nan Yan *Center for High Altitude Medicine, Laboratory of High Altitude Medicine in Qinghai Province, Key Laboratory of High Altitude Medicine (Ministry of Education), Key Laboratory of Application and Foundation for High Altitude Medicine Research in Qinghai Province (Qinghai-Utah Joint Research Key Lab for High Altitude Medicine), Qinghai University, Xining, Qinghai, China.
Jianhong Liu *College of Humanities and Technology, QingHai Open University, Xining City, China.
Gaofu Li *Department of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China.
Linglin ZhaoCenter for High Altitude Medicine, Laboratory of High Altitude Medicine in Qinghai Province, Key Laboratory of High Altitude Medicine (Ministry of Education), Key Laboratory of Application and Foundation for High Altitude Medicine Research in Qinghai Province (Qinghai-Utah Joint Research Key Lab for High Altitude Medicine), Qinghai University, Xining, Qinghai, China.
Jie YangAffiliated Hospital of Qinghai University, Xining, 810001, Qinghai, China.
Qijing GuoDepartment of Oncology, Air Force Medical Center. PLA, Beijing, China.
Wei ZhouDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China. zhouweisyl802@163.com.
Yushuang LuoCenter for High Altitude Medicine, Laboratory of High Altitude Medicine in Qinghai Province, Key Laboratory of High Altitude Medicine (Ministry of Education), Key Laboratory of Application and Foundation for High Altitude Medicine Research in Qinghai Province (Qinghai-Utah Joint Research Key Lab for High Altitude Medicine), Qinghai University, Xining, Qinghai, China. 13897208152@163.com.
Yue GaoDepartment of Pharmaceutical Sciences, Beijing Institute of Radiation Medicine, Beijing, 100850, China. gaoyue@bmi.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) has a high incidence and poor prognosis, often metastasizing to the liver. Gamma-glutamyl transferase (GGT) is a key indicator of liver damage, and its family members are associated with various cancers. However, their expression and prognostic significance in GC remain unclear. This study utilized R to analyze the expression and prognosis of GGT family members using RNA-seq and clinical data from the TCGA database, applying Lasso regression for key gene identification. We identified GGTLC2 as a significant gene related to GC prognosis. We examined the clinical relevance, methylation levels, and copy number variations of GGTLC2 using the MEXPRESS database and performed GSEA analysis to identify enriched pathways. Additionally, we explored the relationship between GGTLC2 and immune cell infiltration, as well as immune-related genes, and established GGTLC2 knockdown and overexpression cell lines. The results indicate that GGTLC2 is highly expressed in GC and is associated with DNA methylation, copy number variation, and liver metastasis. Functionally, GGTLC2 is primarily enriched in oxidative stress and immune-related pathways, affecting immune infiltration and the expression of inflammatory factors in the tumor microenvironment. In vivo and in vitro studies demonstrate that knocking down GGTLC2 inhibits GC proliferation, invasion, and migration while promoting apoptosis and ferroptosis. Conversely, overexpressing GGTLC2 significantly increases the number of metastatic tumors in the liver. Overall, GGTLC2 may influence the occurrence, development, and liver metastasis of GC by inhibiting ferroptosis, making it a promising novel biomarker for the diagnosis and treatment of GC and its metastasis.

Indexed as

Biomarkers, TumorFerroptosisgamma-GlutamyltransferaseLiver NeoplasmsStomach NeoplasmsAnimalsCell Line, TumorDNA Copy Number VariationsDNA MethylationFemaleGene Expression Regulation, NeoplasticHumansMaleMiceTumor MicroenvironmentBiomarkers, Tumorgamma-Glutamyltransferasegamma-glutamyltransferase, humanFerroptosisGCGGTLC2Immune Cell InfiltrationLiver Metastasis

Identifiers

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.