Evidence map›Paper›PMID 35211690›Full record

ArticleCell reports methods2022

Detecting molecular subtypes from multi-omics datasets using SUMO.

Karolina Sienkiewicz, Jinyu Chen, Ajay Chatrath, John T Lawson, Nathan C Sheffield, Louxin Zhang, Aakrosh Ratan

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

  1. Multi-modal learning with incomplete data.Nature communications · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. MoNETA: MultiOmics Network Embedding for SubType Analysis.NAR genomics and bioinformatics · 2024
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
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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

7 authors at 3 institutions in 2 countries.

Karolina SienkiewiczCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
Jinyu ChenDepartment of Mathematics and Computational Biology Program, National University of Singapore, Singapore 119076, Singapore.
Ajay ChatrathDepartment of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA.
John T LawsonCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
Nathan C SheffieldCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
Louxin ZhangDepartment of Mathematics and Computational Biology Program, National University of Singapore, Singapore 119076, Singapore.
Aakrosh RatanCenter for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA.
University of Virginia · USNational University of Singapore · SGUniversity of Virginia Cancer Center

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jay William FOX · 1987 to 2026
$72.1M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007267 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GARCIA-BLANCO, MARIANO A. · 1985 to 2024
$13.4M
A modular data analysis ecosystem using portable encapsulated projectsR35GM128636 · NIGMS · UNIVERSITY OF VIRGINIA · PI SHEFFIELD, NATHAN · 2018 to 2022
$1.9M
Transdisciplinary Big Data Science Training at UVaT32LM012416 · NLM · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, LOUGHRAN, THOMAS P. · 2016 to 2020
$1.3M
NCI NIH HHS P30 CA044579NIGMS NIH HHS R35 GM128636NIGMS NIH HHS T32 GM007267NLM NIH HHS T32 LM012416
6 · The paper itself

Abstract

We present a data integration framework that uses non-negative matrix factorization of patient-similarity networks to integrate continuous multi-omics datasets for molecular subtyping. It is demonstrated to have the capability to handle missing data without using imputation and to be consistently among the best in detecting subtypes with differential prognosis and enrichment of clinical associations in a large number of cancers. When applying the approach to data from individuals with lower-grade gliomas, we identify a subtype with a significantly worse prognosis. Tumors assigned to this subtype are hypomethylated genome wide with a gain of AP-1 occupancy in demethylated distal enhancers. The tumors are also enriched for somatic chromosome 7 (chr7) gain, chr10 loss, and other molecular events that have been suggested as diagnostic markers for "

Indexed as

GlioblastomaGliomaChromosome AberrationsHumansMultiomicsPrognosis

Identifiers

PMID35211690
PMCPMC8865426
OpenAlexW4210728747

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.