Evidence map›Paper›PMID 37961519›Full record

ArticlebioRxiv : the preprint server for biology2023

Differential chromatin accessibility and transcriptional dynamics define breast cancer subtypes and their lineages.

Michael D Iglesia, Reyka G Jayasinghe, Siqi Chen, Nadezhda V Terekhanova, John M Herndon, Erik Storrs, Alla Karpova, Daniel Cui Zhou, Nataly Naser Al Deen, Andrew T Shinkle and 50 more

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

60 authors at 3 institutions in 1 country.

Michael D Iglesia
Reyka G Jayasinghe
Siqi Chen
Nadezhda V Terekhanova
John M Herndon
Erik Storrs
Alla Karpova
Daniel Cui Zhou
Nataly Naser Al Deen
Andrew T Shinkle
Rita Jui-Hsien Lu
Wagma Caravan
Andrew Houston
Yanyan Zhao
Kazuhito Sato
Preet Lal
Cherease Street
Fernanda Martins Rodrigues
Austin N Southard-Smith
André Luiz N Targino da Costa
Houxiang Zhu
Chia-Kuei Mo
Lisa Crowson
Robert S Fulton
Matthew A Wyczalkowski
Catrina C Fronick
Lucinda A Fulton
Hua Sun
Sherri R Davies
Elizabeth L Appelbaum
Sara E Chasnoff
Madelyn Carmody
Candace Brooks
Ruiyang Liu
Michael C Wendl
Clara Oh
Diane Bender
Oscar Harari
Andrea Bredemeyer
Kory Lavine
Ron Bose
Julie Margenthaler
Jason M Held
Samuel Achilefu
Foluso Ademuyiwa
Rebecca Aft
Cynthia Ma
Graham A Colditz
Tao Ju
James Fitzpatrick
E Shelley Hwang
Kooresh I Shoghi
Milan G Chheda
Deborah J Veis
Feng Chen
Ryan C Fields
William E Gillanders
Li Ding
James S. McDonnell Foundation · USWashington University in St. Louis · USDuke Medical Center · US

Funding

Specification and Function of Tissue Resident and Recruited Macrophages in Cardiac Remodeling and Heart FailureR35HL161185 · NHLBI · WASHINGTON UNIVERSITY · PI Kory J. Lavine · 2022 to 2026
$4.3M
NHLBI NIH HHS R35 HL161185
6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease, and treatment is guided by biomarker profiles representing distinct molecular subtypes. Breast cancer arises from the breast ductal epithelium, and experimental data suggests breast cancer subtypes have different cells of origin within that lineage. The precise cells of origin for each subtype and the transcriptional networks that characterize these tumor-normal lineages are not established. In this work, we applied bulk, single-cell (sc), and single-nucleus (sn) multi-omic techniques as well as spatial transcriptomics and multiplex imaging on 61 samples from 37 breast cancer patients to show characteristic links in gene expression and chromatin accessibility between breast cancer subtypes and their putative cells of origin. We applied the PAM50 subtyping algorithm in tandem with bulk RNA-seq and snRNA-seq to reliably subtype even low-purity tumor samples and confirm promoter accessibility using snATAC. Trajectory analysis of chromatin accessibility and differentially accessible motifs clearly connected progenitor populations with breast cancer subtypes supporting the cell of origin for basal-like and luminal A and B tumors. Regulatory network analysis of transcription factors underscored the importance of BHLHE40 in luminal breast cancer and luminal mature cells, and KLF5 in basal-like tumors and luminal progenitor cells. Furthermore, we identify key genes defining the basal-like (

Identifiers

PMID37961519
PMCPMC10634973
OpenAlexW4388210802

What OpenQuestion holds

Textmetadata
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.