2022
DOI: 10.1002/cam4.5388
|View full text |Cite
|
Sign up to set email alerts
|

BDP1 as a biomarker in serous ovarian cancer

Abstract: Background: TFIIIB, an RNA polymerase III specific transcription factor has been found to be deregulated in human cancers with much of the research focused on the TBP, BRF1, and BRF2 subunits. To date, the TFIIIB specific subunit BDP1 has not been investigated in ovarian cancer but has previously been shown to be deregulated in neuroblastoma, breast cancer, and Non-Hodgkins lymphoma. Results:Using in silico analysis of clinically derived platforms, we report a decreased BDP1 expression as a result of deletion … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 79 publications
0
3
0
Order By: Relevance
“…The data used for analysis were retrieved from publicly accessible datasets. We refer readers to prior publications detailing methods [7][8][9]38].…”
Section: Datasets Analyzedmentioning
confidence: 99%
See 1 more Smart Citation
“…The data used for analysis were retrieved from publicly accessible datasets. We refer readers to prior publications detailing methods [7][8][9]38].…”
Section: Datasets Analyzedmentioning
confidence: 99%
“…The oncogenes MAP kinase ERK and MYC [12,18] stimulate TFIIIB activity in vitro. Specifically, the TFIIIB subunits TBP [24][25][26], BRF1 [6,[27][28][29], BRF2 [6,7,[30][31][32][33][34][35][36][37], and BDP1 [8,9,12,21,38,39] are altered in a variety of human cancers, including breast, blood, colorectal, cervical, esophageal, liver, lung, prostate, and skin cancers.…”
Section: Introductionmentioning
confidence: 99%
“…However, protein domain mutations as prognostic indicators in cancer still face challenges due to the complexity of the molecular pathways of cancer growth and the potential for mutational interactions. Despite these challenges, mutation patterns can still predict disease prognosis [ 57 ]. For instance, tumors with many alterations in DNA repair genes such as BRCA1 and BRCA2 in the ovarian cancer genome can act as biomarkers in predicting the disease [ 58 ].…”
Section: Introductionmentioning
confidence: 99%