Evidence map›Paper›PMID 38234908›Full record

ArticleHeliyon2024

GLS and GOT2 as prognostic biomarkers associated with dendritic cell and immunotherapy response in breast cancer.

Ruifang Yang, Shuo Cheng, Jie Xiao, Yujie Pei, Zhonglin Zhu, Jifa Zhang, Jing Feng, Jing Li

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 9 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

8 authors at 2 institutions in 1 country.

Ruifang YangAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Shuo ChengAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Jie XiaoSchool of Laboratory Medicine and Biotechnology, Southern Medical University, Guangzhou, 510515, China.
Yujie PeiAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Zhonglin ZhuAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Jifa ZhangAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Jing FengAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Jing LiAnhui University of Science and Technology Affiliated Fengxian Hospital, Shanghai, 201499, China.
Anhui University of Science and Technology · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the females' most common cancer. Targeting the immune microenvironment is a new and promising treatment method for breast cancer. Nevertheless, only a small section of patients can profit by immunotherapy, and improving the ability to accurately predict the potential for immunotherapy response is still awaiting further exploration. In this study, we found that the key factors of glutamine metabolism, glutaminase 1 (GLS) and mitochondrial aspartate transaminase (GOT2), showed opposite expression patterns in breast cancer samples. Based on the expression level of GLS and GOT2, we divided the breast cancer samples into two clusters: Cluster 2 showed GLS expressed higher and GOT2 expressed lower, whereas Cluster 1 showed GOT2 expressed higher and GLS expressed lower. GSEA showed that the clusters were related to pathways of immunity. Further analysis showed that Cluster 2 was positively associated with immunity infiltration. Through WGCNA, we identified a module strongly correlated with glutamine metabolism and immunity and identified 11 dendritic cell-associated genes involved in dendritic cell development, maturation, activation and other functions. In addition, Cluster 2 also showed higher immune checkpoint gene expression, which suggest the Cluster 2 had even better response to immunotherapy. The validation dataset could also be clustered into two groups. Cluster 2 (GLS expressed higher and GOT2 expressed lower) of the validation dataset was also positively associated with dendritic cells and a better immunotherapy response. Thus, these data indicate that GLS and GOT2 are prognostic biomarkers which closely related to dendritic cells and better reacted to immunotherapy in breast cancer.

Indexed as

Breast cancerDendritic cellGLS1GOT2Immune checkpoint

Identifiers

PMID38234908
PMCPMC10792574
OpenAlexW4390651329

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.