Evidence map›Paper›PMID 33844325›Full record

ArticleExperimental dermatology2021

Epigenetic and metabolic interplay in cutaneous squamous cell carcinoma.

Gina Pacella, Brian C Capell

Abstract read
In one paragraph

Article in Experimental dermatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Update on the Molecular Pathology of Cutaneous Squamous Cell Carcinoma.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Skin epigenetics.Experimental dermatology · 2021
    Article
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

2 authors.

Gina PacellaDepartment of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Brian C CapellDepartment of Dermatology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-7036-8359

Funding

Epigenetic enhancer control in maintaining homeostasis and preventing carcinogenesis in the epidermisR01AR077615 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI CAPELL, BRIAN · 2020 to 2024
$2.1M
Epigenomic mechanisms of skin carcinogenesisK08AR070289 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI CAPELL, BRIAN · 2016 to 2020
$698k
NIAMS NIH HHS K08 AR070289NIAMS NIH HHS R01 AR077615
6 · The paper itself

Abstract

With the ageing of the population and increased levels of recreational sun exposure and immunosuppression, cutaneous squamous cell carcinoma (cSCC), is both an enormous and expanding clinical and economic issue. Despite advances in therapy, up to 5000-8000 people are estimated to die every year from cSCC in the U.S., highlighting the need for both better prevention and treatments. Two emerging areas of scientific discovery that may offer new therapeutic approaches for cSCC are epigenetics and metabolism. Importantly, these disciplines display extensive crosstalk, with metabolic inputs contributing to the chromatin landscape, while the dynamic epigenome shapes transcriptional and cellular responses that feedback into cellular metabolism. Recent evidence suggests that indeed, epigenetic and metabolic dysregulation may be critical contributors to cSCC pathogenesis. Here, we synthesize the latest findings from these fast-moving fields, including how they may drive cSCC, yet also be harnessed for therapy.

Indexed as

Epigenesis, GeneticCarcinoma, Squamous CellHumansSkin Neoplasmscancercutaneous squamous cell carcinomaepigeneticsmetabolism

Identifiers

PMID33844325
PMCPMC8324523

What OpenQuestion holds

Textmetadata
LicenceTDM
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.