Evidence map›Paper›PMID 38755543›Full record

ArticleBMC psychiatry2024

Identification of shared gene signatures in major depressive disorder and triple-negative breast cancer.

Hua Xie, Chenxiang Ding, Qianwen Li, Wei Sheng, Jie Xu, Renjian Feng, Huaidong Cheng

Abstract read
In one paragraph

Article in BMC psychiatry, 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
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.

  1. Article
  2. Article
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.

Hua XieDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Furong Road 678, Shushan District, Hefei, 230601, Anhui, China.
Chenxiang DingBengbu Medical College, Donghaida Road 2600, Longzihu District, Bengbu, Anhui, 233030, China.
Qianwen LiXuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China.
Wei ShengMental Health center of Xuancheng City, Changqiaocun Jinba Road, Economic and Technological Development Zone, Xuancheng, Anhui, 242000, China.
Jie XuXuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China.
Renjian FengXuancheng People's Hospital, Affiliated Xuancheng Hospital of Wannan Medical College, Dabatang Road 51, Xuanzhou District, Xuancheng, Anhui, 242000, China.
Huaidong ChengDepartment of Oncology, The Second Affiliated Hospital of Anhui Medical University, Furong Road 678, Shushan District, Hefei, 230601, Anhui, China. xiehuaflewer@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with major depressive disorder (MDD) have an increased risk of breast cancer (BC), implying that these two diseases share similar pathological mechanisms. This study aimed to identify the key pathogenic genes that lead to the occurrence of both triple-negative breast cancer (TNBC) and MDD.

methodsPublic datasets GSE65194 and GSE98793 were analyzed to identify differentially expressed genes (DEGs) shared by both datasets. A protein-protein interaction (PPI) network was constructed using STRING and Cytoscape to identify key PPI genes using cytoHubba. Hub DEGs were obtained from the intersection of hub genes from a PPI network with genes in the disease associated modules of the Weighed Gene Co-expression Network Analysis (WGCNA). Independent datasets (TCGA and GSE76826) and RT-qPCR validated hub gene expression.

resultsA total of 113 overlapping DEGs were identified between TNBC and MDD. The PPI network was constructed, and 35 hub DEGs were identified. Through WGCNA, the blue, brown, and turquoise modules were recognized as highly correlated with TNBC, while the brown, turquoise, and yellow modules were similarly correlated with MDD. Notably, G3BP1, MAF, NCEH1, and TMEM45A emerged as hub DEGs as they appeared both in modules and PPI hub DEGs. Within the GSE65194 and GSE98793 datasets, G3BP1 and MAF exhibited a significant downregulation in TNBC and MDD groups compared to the control, whereas NCEH1 and TMEM45A demonstrated a significant upregulation. These findings were further substantiated by TCGA and GSE76826, as well as through RT-qPCR validation.

conclusionsThis study identified G3BP1, MAF, NCEH1 and TMEM45A as key pathological genes in both TNBC and MDD.

Indexed as

Major Depressive DisorderProtein Interaction MapsTriple Negative Breast NeoplasmsDatabases, GeneticFemaleGene Expression ProfilingGene Regulatory NetworksHumansTranscriptomeHub DEGMajor depressive disorderTriple-negative breast cancerWGCNA

Identifiers

PMID38755543
PMCPMC11100035

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.