Evidence map›Paper›PMID 35582536›Full record

ArticleCancer drug resistance (Alhambra, Calif.)2022

Epigenetic modulation in sensitizing metastatic sarcomas to therapies and overcoming resistance.

Jeff Rytlewski, Qierra R Brockman, Rebecca D Dodd, Mohammed Milhem, Varun Monga

Open access · diamondAbstract read
In one paragraph

Article in Cancer drug resistance (Alhambra, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jeff RytlewskiDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Qierra R BrockmanDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Rebecca D DoddDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Mohammed MilhemDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
Varun MongaDepartment of Internal Medicine, University of Iowa, Iowa City, IA 52242, USA.
University of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Jon C.D. Houtman · 2000 to 2026
$70.0M
PROGRAM IN HEMOSTASIS AND THROMBOSIS FOR ACADEMICT32HL007344 · NHLBI · UNIVERSITY OF IOWA · PI Anil Kumar Chauhan, Steven R Lentz · 1985 to 2026
$6.5M
NHLBI NIH HHS T32 HL007344
6 · The paper itself

Abstract

Sarcomas are a class of rare malignancies of mesenchymal origin with a heterogeneous histological spectrum. They are classically associated with poor outcomes, especially once metastasized. A path to improving clinical outcomes may be made through modifying the epigenome, where a variety of sarcomas demonstrate changes that contribute to their oncogenic phenotypes. This Perspective article identifies and describes changes in the sarcoma genome, while discussing specific epigenetic changes and their effect on clinical outcomes. Clinical attempts at modulating epigenetics in sarcoma are reviewed, as well as potential implications of these studies. Epigenetic targets to reverse and delay chemotherapy resistance are discussed. Future directions with primary next steps are proposed to invigorate the current understanding of epigenetic biomarkers to enact targeted therapies to epigenetic phenotypes of sarcoma subtypes. Modifications to prior studies, as well as proposed clinical steps, are also addressed.

Indexed as

Epigeneticsmetastasisresistancesarcoma

Identifiers

PMID35582536
PMCPMC8992584
OpenAlexW4205163500

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.