Evidence map›Paper›PMID 35785205›Full record

ArticleFrontiers in oncology2022

Changes in the Transcriptome and Chromatin Landscape in BRAFi-Resistant Melanoma Cells.

Kiran Kumar Reddi, Praveen Guruvaiah, Yvonne J K Edwards, Romi Gupta

Abstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

4 authors.

Kiran Kumar ReddiDepartment of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, United States.
Praveen GuruvaiahDepartment of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, United States.
Yvonne J K EdwardsDepartment of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, United States.
Romi GuptaDepartment of Biochemistry and Molecular Genetics, The University of Alabama at Birmingham, Birmingham, AL, United States.

Funding

PRECISION METABOLIC THERAPY OF p53 MUTANT TRIPLE NEGATIVE BREAST CANCERSR01CA233481 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUPTA, ROMI · 2021 to 2025
$1.6M
A NOVEL EPIGENETIC IMMUNOTHERAPY FOR OVARIAN CANCER TREATMENTR03CA230815 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUPTA, ROMI · 2019 to 2020
$149k
A Novel Anoikis Effector that Drives Ovarian Cancer MetastasisR03CA248913 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUPTA, ROMI · 2020 to 2021
$149k
NCI NIH HHS R03 CA230815NCI NIH HHS R03 CA248913
6 · The paper itself

Abstract

Metastatic and drug-resistant melanoma are leading causes of skin cancer-associated death. Mitogen-associated protein kinase (MAPK) pathway inhibitors and immunotherapies have provided substantial benefits to patients with melanoma. However, long-term therapeutic efficacy has been limited due to emergence of treatment resistance. Despite the identification of several molecular mechanisms underlying the development of resistant phenotypes, significant progress has still not been made toward the effective treatment of drug-resistant melanoma. Therefore, the identification of new targets and mechanisms driving drug resistance in melanoma represents an unmet medical need. In this study, we performed unbiased RNA-sequencing (RNA-seq) and assay for transposase-accessible chromatin with sequencing (ATAC-seq) to identify new targets and mechanisms that drive resistance to MAPK pathway inhibitors targeting BRAF and MAPK kinase (MEK) in

Indexed as

BRAFchromatin accessibilityMAPKMEKmelanomatranscriptomics

Identifiers

PMID35785205
PMCPMC9247198

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Registered trials

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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.