Evidence map›Paper›PMID 38352498›Full record

ArticlebioRxiv : the preprint server for biology2024

A large-scale cancer-specific protein-DNA interaction network.

Yunwei Lu, Anna Berenson, Ryan Lane, Isabelle Guelin, Zhaorong Li, Yilin Chen, Sakshi Shah, Meimei Yin, Luis Fernando Soto-Ugaldi, Ana Fiszbein and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yunwei LuBiology Department, Boston University, Boston, MA, 02215, USA.
Anna BerensonBiology Department, Boston University, Boston, MA, 02215, USA.
Ryan LaneBiology Department, Boston University, Boston, MA, 02215, USA.
Isabelle GuelinBiology Department, Boston University, Boston, MA, 02215, USA.
Zhaorong LiBioinformatics Program, Boston University, Boston, MA, 02215, USA.
Yilin ChenBiology Department, Boston University, Boston, MA, 02215, USA.
Sakshi ShahBiology Department, Boston University, Boston, MA, 02215, USA.
Meimei YinBiology Department, Boston University, Boston, MA, 02215, USA.
Luis Fernando Soto-UgaldiTri-Institutional Program in Computational Biology and Medicine, New York, NY, 10021, USA.
Ana FiszbeinBiology Department, Boston University, Boston, MA, 02215, USA.
Juan Ignacio Fuxman BassBiology Department, Boston University, Boston, MA, 02215, USA.

Funding

Rewiring of regulatory networks in breast cancer by transcription factor isoformsU01CA232161 · NCI · DANA-FARBER CANCER INST · PI BULYK, MARTHA L, FUXMAN BASS, JUAN IGNACIO · 2018 to 2022
$4.1M
Structure and Function of Immune Gene Regulatory NetworksR35GM128625 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Juan Ignacio Fuxman Bass · 2018 to 2026
$4.0M
NCI NIH HHS U01 CA232161NIGMS NIH HHS R35 GM128625
6 · The paper itself

Abstract

Cancer development and progression are generally associated with dysregulation of gene expression, often resulting from changes in transcription factor (TF) sequence or expression. Identifying key TFs involved in cancer gene regulation provides a framework for potential new therapeutics. This study presents a large-scale cancer gene TF-DNA interaction network as well as an extensive promoter clone resource for future studies. Most highly connected TFs do not show a preference for binding to promoters of genes associated with either good or poor cancer prognosis, suggesting that emerging strategies aimed at shifting gene expression balance between these two prognostic groups may be inherently complex. However, we identified potential for oncogene targeted therapeutics, with half of the tested oncogenes being potentially repressed by influencing specific activator or bifunctional TFs. Finally, we investigate the role of intrinsically disordered regions within the key cancer-related TF estrogen receptor ɑ (ESR1) on DNA binding and transcriptional activity, and found that these regions can have complex trade-offs in TF function. Altogether, our study not only broadens our knowledge of TFs involved in the cancer gene regulatory network but also provides a valuable resource for future studies, laying a foundation for potential therapeutic strategies targeting TFs in cancer.

Identifiers

PMID38352498
PMCPMC10862707

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.