Evidence map›Paper›PMID 25259881›Full record

ArticlePloS one2014

Anomalies in network bridges involved in bile Acid metabolism predict outcomes of colorectal cancer patients.

Sunjae Lee, KiYoung Lee, Seyeol Yoon, Jae W Lee, Doheon Lee

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. 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
0.1field-weighted citation impact, top 46% 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, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 3 institutions in 2 countries.

Sunjae LeeDepartment of Bio and Brain Engineering, KAIST, Yuseong-gu, Daejeon, Republic of Korea.
KiYoung LeeDepartment of Medical Informatics, School of Medicine, Ajou University, Yeongtong-gu, Suwon-si, Republic of Korea.
Seyeol YoonDepartment of Bio and Brain Engineering, KAIST, Yuseong-gu, Daejeon, Republic of Korea.
Jae W LeeNeuroscience Section, Papé Family Pediatric Research Institute, Department of Pediatrics, Oregon Health and Science University, Portland, Oregon, United States of America.
Doheon LeeDepartment of Bio and Brain Engineering, KAIST, Yuseong-gu, Daejeon, Republic of Korea.
Korea Advanced Institute of Science and Technology · KRAjou University · KROregon Health & Science University · US

Funding

Regulation Code by Nuclear Receptor Coactivator ASC-2R01DK064678 · NIDDK · OREGON HEALTH & SCIENCE UNIVERSITY · PI LEE, JAE W · 2004 to 2016
$4.3M
NIDDK NIH HHS DK064678NIDDK NIH HHS R01 DK064678
6 · The paper itself

Abstract

Biomarkers prognostic for colorectal cancer (CRC) would be highly desirable in clinical practice. Proteins that regulate bile acid (BA) homeostasis, by linking metabolic sensors and metabolic enzymes, also called bridge proteins, may be reliable prognostic biomarkers for CRC. Based on a devised metric, "bridgeness," we identified bridge proteins involved in the regulation of BA homeostasis and identified their prognostic potentials. The expression patterns of these bridge proteins could distinguish between normal and diseased tissues, suggesting that these proteins are associated with CRC pathogenesis. Using a supervised classification system, we found that these bridge proteins were reproducibly prognostic, with high prognostic ability compared to other known markers.

Indexed as

Biomarkers, TumorBile Acids and SaltsColorectal NeoplasmsHumansPatient Outcome AssessmentPrognosisProtein Interaction MappingProteomicsReproducibility of ResultsBile Acids and SaltsBiomarkers, Tumor

Identifiers

PMID25259881
PMCPMC4178056
OpenAlexW2062725051

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.