BATF acts as an oncogene in non‑small cell lung cancer

Yu, Feng; Pan, Longfa; Zhang, Biao; Huang, Haitao; Ma, Haitao

doi:10.3892/ol.2019.11075

Cited by 19 publications

(28 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Further, as NFkB is suggested to drive TAMs towards a more anti-inflammatory environment, it is plausible that this subpopulation plays a role in the observed peripheral cells' evolution towards an anti-inflammatory environment. Furthermore the enrichment of other transcription factors from the same cluster (BATF, PLXNC1, MTF1) as NFkB have been shown to upregulate in other cancers [72][73][74] suggesting NFkB to exert and a pro-tumor effect.…”

Section: Discussionmentioning

confidence: 99%

Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma

Landry

Balas

Alli

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Tumor-associated macrophages (TAMs) constitute up to 50% of tumor bulk in glioblastoma (GBM) and play an important role in tumor maintenance and progression. The recently discovered differences between invading tumour periphery and hypoxic tumor core implies that macrophage biology is also distinct by location. This may provide further insight into the observed treatment resistance to immune modulation. We hypothesize that macrophage activation occurs through processes that are distinct in tumor periphery versus core. We therefore investigated regional differences in TAM recruitment and evolution in GBM by combining open source single cell and bulk gene expression data. We used single cell gene expression data from 4 glioblastomas (total of 3589 cells) and 122 total bulk samples obtained from 10 different patients. Cell identity, ontogeny (bone-marrow derived macrophages-BMDM vs microglia), and macrophage activation state were inferred using verified gene expression signatures. We captured the spectrum of immune states using cell trajectory analysis with pseudotime ordering. In keeping with previous studies, TAMs carrying BMDM identity were more abundant in tumor bulk while microglia-derived TAMs dominated the tumor periphery across all macrophage activation states including pre-activation. We note that core TAMs evolve towards a pro-inflammatory state and identify a subpopulation of cells based on a gene program exhibiting strong, opposing correlation with Programmed cell Death-1 (PD-1) signaling, which may correlate to their response to PD-1 inhibition. By contrast, peripheral TAMs evolve towards anti-inflammatory phenotype and contains a population of cells strongly associated with NFkB signaling. Our preliminary analysis suggests important regional differences in TAMs with regard to recruitment and evolution. We identify regionally distinct and potentially actionable cell subpopulations and advocate the need for a multi-targeted approach to GBM therapeutics.

show abstract

Section: Discussionmentioning

confidence: 99%

Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma

Landry

Balas

Alli

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…A series of studies suggest that BATF may influence the development of different types of cancer, including non-small cell lung cancer (NSCLC), lymphoma, and multiple myeloma (36,37). Such as, BATF might active NSCLC cell proliferation and apoptosis in BATF-silenced A549 cells (38). In addition, BATF is a gene that inhibits T cell function, inhibitory receptors can cause T cell exhaustion by upregulating BATF (39).…”

Section: Discussionmentioning

confidence: 99%

Integrative Analysis of Identifying Methylation-Driven Genes Signature Predicts Prognosis in Colorectal Carcinoma

Huang

Zhang

et al. 2021

Front. Oncol.

View full text Add to dashboard Cite

BackgroundAberrant DNA methylation is a critical regulator of gene expression and plays a crucial role in the occurrence, progression, and prognosis of colorectal cancer (CRC). We aimed to identify methylation-driven genes by integrative epigenetic and transcriptomic analysis to predict the prognosis of CRC patients.MethodsMethylation-driven genes were selected for CRC using a MethylMix algorithm and LASSO regression screening strategy, and were further used to construct a prognostic risk-assessment model. The Cancer Genome Atlas (TCGA) database was obtained as the training set for both the screening of methylation-driven genes and the effect of genes signature on CRC prognosis. Then, the prognostic genes signature was validated in three independent expression arrays of CRC data from Gene Expression Omnibus (GEO).ResultsWe identified 143 methylation-driven genes, of which the combination of BATF, PHYHIPL, RBP1, and PNPLA4 expression levels was screened as a better prognostic model with the best area under the curve (AUC) (AUC = 0.876). Compared with patients in the low-risk group, CRC patients in the high-risk group had significantly poorer overall survival in the training set (HR = 2.184, 95% CI: 1.404–3.396, P < 0.001). Similar results were observed in the validation set. Moreover, VanderWeele’s mediation analysis indicated that the effect of methylation on prognosis was mediated by the levels of their expression (HRindirect = 1.473, P = 0.001, Proportion mediated, 69.10%).ConclusionsWe identified a four-gene prognostic signature by integrative analysis and developed a risk-assessment model that is significantly associated with patients’ survival. Methylation-driven genes might be a potential prognostic signature for CRC patients.

show abstract

“…The BATF gene acts a pivotal part in the development of different types of cancer, including colon cancer, lymphoma, and multiple myeloma [ 41 – 43 ]. In addition, Feng et al found that BATF acted as an oncogene in non-small-cell lung cancer [ 44 ]. In this study, the joint survival analyses revealed that the BATF gene was closely related with poor prognosis in patients with ccRCC ( Figure 9(e) ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic Value of DNA Methylation-Driven Genes in Clear Cell Renal Cell Carcinoma: A Study Based on Methylation and Transcriptome Analyses

Xie

Hou

et al. 2020

Disease Markers

View full text Add to dashboard Cite

Background. Few previous studies have comprehensively explored the level of DNA methylation and gene expression in ccRCC. The purpose of this study was to identify the key clear cell renal cell carcinoma- (ccRCC-) related DNA methylation-driven genes (MDG) and to build a prognostic model based on the level of DNA methylation. Methods. RNA-seq transcriptome data and DNA methylation data were obtained from The Cancer Genome Atlas. Based on the MethylMix algorithm, we obtain ccRCC-related MDG. The univariate and multivariate Cox regression analyses were employed to investigate the correlation between patient overall survival and the methylation level of each MDG. Finally, a prognosis risk score was established based on a linear combination of the regression coefficient derived from the multivariate Cox regression model (β) multiplied with the methylation level of the gene. Results. 19 ccRCC-related MDG were identified. Three MDG (NCKAP1L, EVI2A, and BATF) were further screened and integrated into a prognostic risk score model, risk score=3.710∗methylation level of NCKAP1L+−3.892∗methylation level of EVI2A+−3.907∗methylation level of BATF. The risk model was independent from conventional clinical characteristics as a prognostic factor for ccRCC (HR=1.221, 95% confidence interval: 1.063–1.402, and P=0.005). The joint survival analysis showed that the gene expression and methylation levels of the prognostic genes EVI2A and BATF were significantly related with prognosis. Conclusion. This study provided an important bioinformatics foundation for in-depth studies of ccRCC DNA methylation.

show abstract

BATF acts as an oncogene in non‑small cell lung cancer

Cited by 19 publications

References 30 publications

Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma

Distinct regional ontogeny and activation of tumor associated macrophages in human glioblastoma

Integrative Analysis of Identifying Methylation-Driven Genes Signature Predicts Prognosis in Colorectal Carcinoma

Prognostic Value of DNA Methylation-Driven Genes in Clear Cell Renal Cell Carcinoma: A Study Based on Methylation and Transcriptome Analyses

Contact Info

Product

Resources

About