Evidence map›Paper›PMID 37676479›Full record

ArticleInternational forum of allergy & rhinology2024

Mutational landscape and predictors of survival in head and neck mucosal melanoma.

Brandon M Lehrich, Arash Abiri, Theodore V Nguyen, Benjamin F Bitner, Charles C L Tong, Edward C Kuan

Abstract read
In one paragraph

Article in International forum of allergy & rhinology, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Genomic drivers in craniopharyngiomas: Analysis of the AACR project GENIE database.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    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

6 authors.

Brandon M LehrichDepartment of Pathology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-1003-5605
Arash AbiriMedical Scientist Training Program, University of California, Irvine, California, USA.
Theodore V NguyenDepartment of Otolaryngology, University of California, Irvine, California, USA.ORCID 0000-0002-3416-5976
Benjamin F BitnerDepartment of Otolaryngology, University of California, Irvine, California, USA.
Charles C L TongDepartment of Otolaryngology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New York, New York, USA.
Edward C KuanDepartment of Otolaryngology, University of California, Irvine, California, USA.ORCID 0000-0003-3475-0718

Funding

TRAINING PROGRAM FOR MD/PHD STUDENTST32GM008208 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMAN, RICHARD A · 1987 to 2021
$15.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM008620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI GOLDIN, ALAN L · 1999 to 2023
$8.1M
Cellular Approaches to Tissue Engineering/RegenerationT32EB001026 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W, MONGA, SATDARSHAN SINGH · 2003 to 2024
$5.5M
NIBIB NIH HHS T32 EB001026NIGMS NIH HHS T32 GM008208NIGMS NIH HHS T32 GM008620
6 · The paper itself

Abstract

key pointsHead and neck mucosal melanomas have a diverse mutational landscape with low mutational burden. A molecular subset (∼13%) has ROS1 mutations, which is an actionable driver mutation. ROS1-mutated patients have improved overall survival likely due to high mutational burden.

Indexed as

MelanomaDNA Mutational AnalysisHumansMutationProtein-Tyrosine KinasesProto-Oncogene ProteinsProtein-Tyrosine KinasesProto-Oncogene Proteinsmucosal melanomapatient survivaltumor geneticstumor mutational burden

Identifiers

PMID37676479
PMCPMC10918024

What OpenQuestion holds

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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.