Evidence map›Paper›PMID 37756567›Full record

ArticleCancer research2023

Epigenetic Regulators Open the Door to SCLC Plasticity.

Margaret C Weber, Luke T Izzo, Trudy G Oliver

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Margaret C WeberDepartment of Pharmacology & Cancer Biology, Duke University, Durham, North Carolina.ORCID 0000-0001-7413-1300
Luke T IzzoDepartment of Pharmacology & Cancer Biology, Duke University, Durham, North Carolina.ORCID 0000-0002-6217-9240
Trudy G OliverDepartment of Pharmacology & Cancer Biology, Duke University, Durham, North Carolina.ORCID 0000-0003-2082-2397
Duke University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007171 · NIGMS · DUKE UNIVERSITY · PI KONTOS, CHRISTOPHER D · 1985 to 2021
$31.2M
NIGMS NIH HHS T32 GM007171
6 · The paper itself

Abstract

Small-cell lung cancer (SCLC) is a neuroendocrine tumor type with limited treatment options and poor prognosis. SCLC comprises multiple molecular subtypes that are defined by the expression of the lineage-related transcription factors ASCL1, NEUROD1, POU2F3, and more controversially, YAP1. SCLC exhibits remarkable plasticity with the capacity to transition between molecular states; because these states are associated with unique therapeutic susceptibilities, SCLC has been likened to a moving therapeutic target. While MYC's role in driving the ASCL1-to-NEUROD1 (A-to-N) transition is established, additional mechanisms governing SCLC plasticity remain largely obscure. A recent study by Duplaquet and colleagues, published in Nature Cell Biology, employs an innovative genetically engineered mouse model of SCLC harboring loss of KDM6A-a histone lysine demethylase mutated in approximately 2% of SCLC cases. KDM6A loss in SCLC alters chromatin accessibility and increases the potential for A-to-N plasticity in vivo. Through characterization of the epigenetic landscape, Duplaquet and colleagues identified histone methylation as a key regulator of SCLC plasticity. These findings provide not only a new model system for studying SCLC plasticity, but also identify new epigenetic mechanisms involved, which will ultimately be critical for designing more effective therapies.

Indexed as

Lung NeoplasmsSmall Cell Lung CarcinomaAnimalsCell Line, TumorEpigenesis, GeneticGene Expression Regulation, NeoplasticHistone DemethylasesMiceHistone Demethylases

Identifiers

PMID37756567
OpenAlexW4387114601

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.