Evidence map›Paper›PMID 35729567›Full record

ArticleWorld journal of surgical oncology2022

Overexpressed VDAC1 in breast cancer as a novel prognostic biomarker and correlates with immune infiltrates.

Yutong Fang, Junpeng Liu, Qunchen Zhang, Chuanghong She, Rongji Zheng, Rendong Zhang, Zexiao Chen, Chunfa Chen, Jundong Wu

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 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.

Yutong Fang *The Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Junpeng Liu *Shantou University Medical College, Shantou, 515041, Guangdong, China.
Qunchen ZhangThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Chuanghong SheThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Rongji ZhengThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Rendong ZhangThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Zexiao ChenThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Chunfa ChenThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China.
Jundong WuThe Breast Center, Cancer Hospital of Shantou University Medical College, 7 Raoping Rd, Shantou, 515041, Guangdong, China. wujun-dong@163.com.
Cancer Hospital of Shantou University Medical College · CNShantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMore and more evidence suggests that cancer is a mitochondrial metabolic disease recently and mitochondria dysfunction is critical to tumorigenesis. As a gatekeeper of mitochondria, the voltage-dependent anion channel 1 (VDAC1) is associated with the development of breast cancer (BC). However, its potential mechanism and clinical significance remain unclear; thus, in this research, we aimed to explore it.

methodsVDAC1 expression in BC tissues and normal tissues was obtained from The Cancer Genome Atlas (TCGA) and validated by datasets from the gene expression omnibus (GEO) database. Then, the relationships between VDAC1 expression and clinicopathological features were analyzed. Receiver operating characteristics (ROC) curves were used to identify the diagnostic value of VDAC1. The prognostic value was evaluated by Kaplan-Meier survival curves and Cox regression analysis. VDAC1 with its co-expression genes were subjected to enrichment analysis to explore potential mechanisms in BC and the protein-protein interaction (PPI) network was constructed. At last, the association between VDAC1 expression and infiltration levels of immune cell infiltration by various methods, as well as their corresponding markers, was analyzed. We also analyzed the correction between VDAC1 expression and eight immune checkpoint genes and the tumor immune dysfunction and exclusion (TIDE) scores of each BC sample in TCGA were calculated and the differences between high and low VDAC1 expression groups were analyzed.

resultsVDAC1 expression was remarkably elevated in BC (p < 0.001), and high expression of VDAC1 was associated with the positive expression of ER (p = 0.004), PR (p = 0.033), and HER2 (p = 0.001). ROC analysis suggested that VDAC1 had diagnosed value in BC. The Kaplan-Meier analysis suggested that higher expression of VDAC1 was associated with shorter overall survival (OS), and further Cox regression analysis revealed that VDAC1 was an independent factor of unfavorable prognosis in BC patients. Enrichment analysis of VDAC1 and its co-expression suggested that VDAC1 was related to the regulation of mitochondrial energy metabolism and protein modification, and the HIF-1 singing pathway might be the potential mechanism in BC. Notably, we found that VDAC1 expression was infiltration levels of most types of immune cells, as well as the expression of marker genes of immune cells. The ICGs PDCD1, CTLA4, LAG3, SIGLEC15, and TIGIT were negatively corrected with VDAC1 expression in BC. TIDE scores between the low and high expression groups showed no difference.

conclusionOverexpressed VDAC1 in BC could be severed as a novel biomarker for diagnosis and VDAC1 was an independent factor for adverse prognosis prediction. Our study revealed that VDAC1 might inhibit tumor immunity and might be a novel therapeutic target in BC.

Indexed as

Breast NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimatePrognosisVoltage-Dependent Anion Channel 1VDAC1 protein, humanVoltage-Dependent Anion Channel 1BioinformaticsBreast cancerDiagnosisImmune cellsPrognosisVDAC1

Identifiers

PMID35729567
PMCPMC9215028
OpenAlexW4283259224

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.