Evidence map›Paper›PMID 38014031›Full record

ArticlebioRxiv : the preprint server for biology2023

MITF regulates IDH1 and NNT and drives a transcriptional program protecting cutaneous melanoma from reactive oxygen species.

Elisabeth Roider, Alexandra I T Lakatos, Alicia M McConnell, Poguang Wang, Alina Mueller, Akinori Kawakami, Jennifer Tsoi, Botond L Szabolcs, Anna A Ascsillán, Yusuke Suita and 15 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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 8 institutions in 4 countries.

Elisabeth Roider
Alexandra I T Lakatos
Alicia M McConnell
Poguang Wang
Alina Mueller
Akinori Kawakami
Jennifer Tsoi
Botond L Szabolcs
Anna A Ascsillán
Yusuke Suita
Vivien Igras
Jennifer A Lo
Jennifer J Hsiao
Rebecca Lapides
Dorottya M P Pál
Anna S Lengyel
Alexander Navarini
Arimichi Okazaki
Othon Iliopoulos
István Németh
Thomas G Graeber
Leonard Zon
Roger W Giese
Lajos V Kemeny
David E Fisher
Harvard University · USSemmelweis University · HUBoston Children's Hospital · USNortheastern University · USUniversity Hospital of Basel · CHUniversity of California, Los Angeles · USUniversity of Szeged · HUUniversity of Vermont · US

Funding

Transcriptional mechanisms and melanomaP01CA163222 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DAVID E FISHER · 2013 to 2026
$25.3M
Project 3: Modeling and overcoming resistance to melanoma immunotherapyP01CA244118 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI MORICEAU, GATIEN P · 2020 to 2024
$12.8M
DERMATOLOGY TRAINING GRANTT32AR007098 · NIAMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI THOMAS S. KUPPER · 1986 to 2026
$8.1M
NCI NIH HHS P01 CA163222NCI NIH HHS P01 CA244118NIAMS NIH HHS T32 AR007098
6 · The paper itself

Abstract

Microphthalmia-associated transcription factor (MITF) plays pivotal roles in melanocyte development, function, and melanoma pathogenesis. MITF amplification occurs in melanoma and has been associated with resistance to targeted therapies. Here, we show that MITF regulates a global antioxidant program that increases survival of melanoma cell lines by protecting the cells from reactive oxygen species (ROS)-induced damage. In addition, this redox program is correlated with MITF expression in human melanoma cell lines and patient-derived melanoma samples. Using a zebrafish melanoma model, we show that MITF decreases ROS-mediated DNA damage One Sentence Summary: MITF promote melanoma survival via increasing ROS tolerance.

Identifiers

PMID38014031
PMCPMC10680652
OpenAlexW4388664811

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.