Evidence map›Paper›PMID 30992353›Full record

ArticlemBio2019

Two Pathways of p27

Richard P Sora, Masato Ikeda, Richard Longnecker

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in mBio, 2019. 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
0.4field-weighted citation impact, top 35% of its field
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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 1 institution in 1 country.

Richard P SoraDepartment of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Masato IkedaDepartment of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
Richard LongneckerDepartment of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA r-longnecker@northwestern.edu.ORCID 0000-0001-7175-6217
Northwestern University · US

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Daniela E Matei · 1993 to 2026
$153.9M
CARCINOGENESIS TRAINING PROGRAMT32CA009560 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Kathleen Janee Green · 1986 to 2026
$8.4M
Mentoring For Success: Developing Fundamental Skills For Biomedical ResearchR25GM079300 · NIGMS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MCGEE, RICHARD · 2007 to 2020
$6.6M
In Vivo Model of Epstein-Barr Virus LatencyR01CA073507 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LONGNECKER, RICHARD M · 1997 to 2018
$6.1M
NCI NIH HHS P30 CA060553NCI NIH HHS R01 CA073507NCI NIH HHS T32 CA009560NIGMS NIH HHS R25 GM079300
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) latent membrane protein 2A (LMP2A), expressed in EBV latency, contributes to Burkitt lymphoma (BL) development in a murine model by acting as a constitutively active B cell receptor (BCR) mimic. Mice expressing both LMP2A and

Indexed as

Metabolic Networks and PathwaysAnimalsApoptosisB-LymphocytesBurkitt LymphomaCell CycleCell ProliferationCell Transformation, NeoplasticCyclin-Dependent Kinase Inhibitor p27Disease Models, AnimalGenotypeHerpesvirus 4, HumanMiceMice, Inbred C57BLMice, KnockoutProteolysisCdkn1b protein, mouseCyclin-Dependent Kinase Inhibitor p27EBV-associated membrane antigen, Epstein-Barr virusMyc protein, mouseProto-Oncogene Proteins c-mycViral Matrix ProteinsBurkitt lymphomaEpstein-Barr virusLMP2A

Identifiers

PMID30992353
PMCPMC6469971
OpenAlexW2918236194

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.