Evidence map›Paper›PMID 37790296›Full record

ArticlebioRxiv : the preprint server for biology2023

Megan E Yates, Zheqi Li, Yiting Li, Hannah Guzolik, Xiaosong Wang, Tiantong Liu, Jagmohan Hooda, Jennifer M Atkinson, Adrian V Lee, Steffi Oesterreich

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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Yiting Li
Hannah Guzolik
Xiaosong Wang
Tiantong Liu
Jagmohan Hooda
Jennifer M AtkinsonORCID 0000-0001-5164-5114
Steffi OesterreichORCID 0000-0002-2537-6923
Magee-Womens Research Institute · USUniversity of Pittsburgh · US

Funding

Estrogen receptor fusions genes as drivers of endocrine resistance in breast cancerR01CA256161 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V, OESTERREICH, STEFFI · 2021 to 2025
$2.8M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
Functional Characterization and Clinical Prevalence of ESR1 Fusions in Advanced Endocrine Resistant Breast CancerF30CA250167 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YATES, MEGAN · 2020 to 2024
$249k
NCI NIH HHS F30 CA250167NCI NIH HHS R01 CA256161NIH HHS S10 OD028483
6 · The paper itself

Abstract

Breast cancer is a leading cause of female mortality and despite advancements in diagnostics and personalized therapeutics, metastatic disease largely remains incurable due to drug resistance. Fortunately, identification of mechanisms of therapeutic resistance have rapidly transformed our understanding of cancer evasion and is enabling targeted treatment regimens. When the druggable estrogen receptor (ER, Significance: ER fusion proteins exhibit diverse mechanisms of endocrine resistance in breast cancer cell lines representing the no special type (NST) and invasive lobular cancer (ILC) subtypes. Our emphasize upon both the shared and unique cellular adaptations imparted by ER fusions offers the foundation for further translational research and clinical decision making.

Identifiers

PMID37790296
PMCPMC10542116
OpenAlexW4386857603

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.