Evidence map›Paper›PMID 34261540›Full record

ArticleGenome medicine2021

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.

Olivier B Poirion, Zheng Jing, Kumardeep Chaudhary, Sijia Huang, Lana X Garmire

Abstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

150 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  19. Prognostic Factors and Risk Stratification in Malignant Tumor Patients With Sepsis: A Retrospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
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90 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

5 authors.

Olivier B PoirionCurrent address: Computational Sciences, The Jackson Laboratory, 10 Discovery Drive Farmington, Farmington, Connecticut, 06032, USA.
Zheng JingCurrent address: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, 48105, USA.
Kumardeep ChaudharyUniversity of Hawaii Cancer Center, Honolulu, HI, 96813, USA.
Sijia HuangUniversity of Hawaii Cancer Center, Honolulu, HI, 96813, USA.
Lana X GarmireUniversity of Hawaii Cancer Center, Honolulu, HI, 96813, USA. lgarmire@med.umich.edu.ORCID 0000-0002-4680-9484

Funding

Transgenic Mouse, ICSI and IVF CoreP20GM103457 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI WARD, WILLIAM S · 2012 to 2018
$12.9M
An Integrative Omics Approach to Identify Biomarkers Related to Preeclampsia and Breast Cancer RisksR01HD084633 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2020
$3.0M
Cancer precision medicine through spatially informative single cell image and transcriptomics data analysisR01LM012373 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2016 to 2024
$2.4M
DR. EPS: Drug Repurposing for Extended Patient SurvivalR01LM012907 · NLM · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2019 to 2022
$1.0M
An Integrative Bioinformatics Approach to Study Single Cancer Cell HeterogeneityK01ES025434 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GARMIRE, LANA X · 2014 to 2018
$905k
NICHD NIH HHS R01 HD084633NIEHS NIH HHS K01 ES025434NIGMS NIH HHS P20 GM103457NLM NIH HHS R01 LM012373NLM NIH HHS R01 LM012907
6 · The paper itself

Abstract

Multi-omics data are good resources for prognosis and survival prediction; however, these are difficult to integrate computationally. We introduce DeepProg, a novel ensemble framework of deep-learning and machine-learning approaches that robustly predicts patient survival subtypes using multi-omics data. It identifies two optimal survival subtypes in most cancers and yields significantly better risk-stratification than other multi-omics integration methods. DeepProg is highly predictive, exemplified by two liver cancer (C-index 0.73-0.80) and five breast cancer datasets (C-index 0.68-0.73). Pan-cancer analysis associates common genomic signatures in poor survival subtypes with extracellular matrix modeling, immune deregulation, and mitosis processes. DeepProg is freely available at https://github.com/lanagarmire/DeepProg.

Indexed as

Deep LearningMachine LearningSoftwareAlgorithmsComputational BiologyDatabases, GeneticFemaleGene Expression Regulation, NeoplasticGenomicsHumansModels, TheoreticalNeoplasmsPrognosisReproducibility of ResultsWeb BrowserCancerDeep learningEnsemble learningMachine learningmulti-omicsPrognosisSurvival

Identifiers

PMID34261540
PMCPMC8281595

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Registered trials

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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.