Evidence map›Paper›PMID 28072391›Full record

ArticleeLife2017

BRAF

Naoya Sakamoto, Ying Feng, Carmine Stolfi, Yuki Kurosu, Maranne Green, Jeffry Lin, Megan E Green, Kazuhiro Sentani, Wataru Yasui, Martin McMahon and 7 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

66 citing papers in PubMed, 1 synthesis or guideline pooled it, 100 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Loss ofEcancermedicalscience · 2024
    Article
  19. Article
  20. Article

6 more citing papers are in PubMed but not listed here.

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

17 authors at 3 institutions in 2 countries.

Naoya SakamotoDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Ying FengDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Carmine StolfiDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Yuki KurosuDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Maranne GreenDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Jeffry LinDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Megan E GreenDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Kazuhiro SentaniDepartment of Molecular Pathology, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Wataru YasuiDepartment of Molecular Pathology, Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Martin McMahonDepartment of Dermatology, University of Utah Medical School, Salt Lake City, United States.
Karin M HardimanDepartment of Surgery, University of Michigan, Ann Arbor, United States.
Jason R SpenceDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.ORCID 0000-0001-7869-3992
Nobukatsu HoritaDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, United States.
Joel K GreensonDepartment of Pathology, University of Michigan, Ann Arbor, United States.
Rork KuickDepartment of Biostatistics, University of Michigan, Ann Arbor, United States.
Kathleen R ChoDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.
Eric R FearonDepartment of Internal Medicine, University of Michigan, Ann Arbor, United States.ORCID 0000-0003-2867-3971
University of Michigan · USHiroshima University · JPUniversity of Utah · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Studying the initiation, progression and therapy of lung cancer in mouse modelsR01CA131261 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MARTIN MCMAHON · 2009 to 2026
$5.3M
CDX2 TUMOR SUPPRESSOR PATHWAY DEFECTS IN COLON CANCERR01CA082223 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI FEARON, ERIC R. · 1999 to 2015
$3.9M
Targeting Oncogenic NRAS, BRAF plus PI3'-Kinase Signaling for Melanoma TherapyR01CA176839 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MARTIN MCMAHON · 2013 to 2026
$2.9M
Intra-tumor Heterogeneity in Colorectal Cancer Progression and Treatment ResponseK08CA190645 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HARDIMAN, KARIN MARIE · 2016 to 2019
$700k
NCI NIH HHS K08 CA190645NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA082223NCI NIH HHS R01 CA131261NCI NIH HHS R01 CA176839
6 · The paper itself

Abstract

While 20-30% of colorectal cancers (CRCs) may arise from precursors with serrated glands, only 8-10% of CRCs manifest serrated morphology at diagnosis. Markers for distinguishing CRCs arising from 'serrated' versus 'conventional adenoma' precursors are lacking. We studied 36 human serrated CRCs and found CDX2 loss or

Indexed as

CarcinogenesisAnimalsCDX2 Transcription FactorColonColorectal NeoplasmsDisease Models, AnimalGene Expression ProfilingIntestinal MucosaMiceOrganoidsProto-Oncogene Proteins B-rafBRAF protein, humanBraf protein, mouseCDX2 protein, humanCdx2 protein, mouseCDX2 Transcription FactorProto-Oncogene Proteins B-rafcancer biologycancer diagnosiscolorectal cancerhomeobox genehumanhuman biologyintestinal differentiationmedicinemouseoncogenetumor suppressor gene

Identifiers

PMID28072391
PMCPMC5268782
OpenAlexW2570447124

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.