Evidence map›Paper›PMID 26205693›Full record

ArticleScientific reports2015

Novel structural co-expression analysis linking the NPM1-associated ribosomal biogenesis network to chronic myelogenous leukemia.

Lawrence W C Chan, Xihong Lin, Godwin Yung, Thomas Lui, Ya Ming Chiu, Fengfeng Wang, Nancy B Y Tsui, William C S Cho, S P Yip, Parco M Siu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. NPM1 Mutated, BCR-ABL1 Positive Myeloid Neoplasms: Review of the Literature.Mediterranean journal of hematology and infectious diseases · 2020
    Review
  4. Review
  5. Article
  6. 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

12 authors at 3 institutions in 3 countries.

Lawrence W C ChanDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Xihong LinDepartment of Biostatistics, School of Public Health, Harvard University, Massachusetts, USA.
Godwin YungDepartment of Biostatistics, School of Public Health, Harvard University, Massachusetts, USA.
Thomas LuiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Ya Ming ChiuDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Fengfeng WangDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Nancy B Y TsuiDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
William C S ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong.
S P YipDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Parco M SiuDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
S C Cesar WongDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Benjamin Y M YungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Hong Kong Polytechnic University · HKHarvard University · USQueen Elizabeth Hospital · CN

Funding

Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN, HERNAN, MIGUEL · 2008 to 2017
$6.8M
NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

Co-expression analysis reveals useful dysregulation patterns of gene cooperativeness for understanding cancer biology and identifying new targets for treatment. We developed a structural strategy to identify co-expressed gene networks that are important for chronic myelogenous leukemia (CML). This strategy compared the distributions of expressional correlations between CML and normal states, and it identified a data-driven threshold to classify strongly co-expressed networks that had the best coherence with CML. Using this strategy, we found a transcriptome-wide reduction of co-expression connectivity in CML, reflecting potentially loosened molecular regulation. Conversely, when we focused on nucleophosmin 1 (NPM1) associated networks, NPM1 established more co-expression linkages with BCR-ABL pathways and ribosomal protein networks in CML than normal. This finding implicates a new role of NPM1 in conveying tumorigenic signals from the BCR-ABL oncoprotein to ribosome biogenesis, affecting cellular growth. Transcription factors may be regulators of the differential co-expression patterns between CML and normal.

Indexed as

Gene Expression Regulation, LeukemicModels, BiologicalCell Line, TumorGenetic LinkageHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveNeoplasm ProteinsNuclear ProteinsNucleophosminRibosomesNeoplasm ProteinsNPM1 protein, humanNuclear ProteinsNucleophosmin

Identifiers

PMID26205693
PMCPMC4513283
OpenAlexW971954759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.