Evidence map›Paper›PMID 39520074›Full record

ArticleMolecular and cellular biology2024

The Ashkenazi-Centric G334R Variant of

David C Stieg, Kaitlyn Casey, Bhanu Chandra Karisetty, Julia I-Ju Leu, Fiona Larkin, Peter Vogel, Jozef Madzo, Maureen E Murphy

Abstract read
In one paragraph

Article in Molecular and cellular biology, 2024. 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. 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

8 authors.

David C StiegProgram in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania, USA.ORCID 0000-0003-2746-3315
Kaitlyn CaseyProgram in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania, USA.ORCID 0009-0001-7578-8571
Bhanu Chandra KarisettyBioinformatics Facility, The Wistar Institute, Philadelphia, Pennsylvania, USA.
Julia I-Ju LeuPerelman School of Medicine, Department of Genetics, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Fiona LarkinHunterdon County Academies, Annandale, New Jersey, USA.
Peter VogelComparative Pathology Core, St Jude Children's Research Hospital, Memphis, Tennessee, USA.
Jozef MadzoBioinformatics Facility, The Wistar Institute, Philadelphia, Pennsylvania, USA.
Maureen E MurphyProgram in Molecular and Cellular Oncogenesis, The Wistar Institute, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-7644-7296

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Aaron Robert Goldman · 1985 to 2026
$75.9M
TRAINING PROGRAM IN BASIC CANCER RESEARCHT32CA009171 · NCI · WISTAR INSTITUTE · PI Alessandro Gardini · 1985 to 2026
$15.3M
Functional Analysis of p53 Polymorphic Variants - Diversity SupplementR01CA102184 · NCI · WISTAR INSTITUTE · PI Maureen E. Murphy · 2005 to 2026
$7.4M
The impact of coding region variants on mutant p53 biologyR01CA238611 · NCI · WISTAR INSTITUTE · PI MURPHY, MAUREEN E. · 2020 to 2024
$2.2M
The genetics of tumor suppression by p53 - Diversity SupplementR01CA279585 · NCI · WISTAR INSTITUTE · PI Maureen E. Murphy · 2023 to 2026
$1.7M
NCI NIH HHS P30 CA010815NCI NIH HHS R01 CA102184NCI NIH HHS R01 CA238611NCI NIH HHS R01 CA279585NCI NIH HHS T32 CA009171
6 · The paper itself

Abstract

Mutations in the

Indexed as

Transcriptional ActivationTumor Suppressor Protein p53AnimalsDisease Models, AnimalHumansMiceMutationNeoplasmsSp1 Transcription FactorSp1 Transcription FactorTrp53 protein, mouseTumor Suppressor Protein p53Ashkenazioligomerizationp53SP1

Identifiers

PMID39520074
PMCPMC11583612

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.