Evidence map›Paper›PMID 33735194›Full record

ArticlePLoS computational biology2021

COMSUC: A web server for the identification of consensus molecular subtypes of cancer based on multiple methods and multi-omics data.

Song He, Xinyu Song, Xiaoxi Yang, Jijun Yu, Yuqi Wen, Lianlian Wu, Bowei Yan, Jiannan Feng, Xiaochen Bo

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. 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
–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

3 citing papers in PubMed.

  1. SpatialESD: Spatial Ensemble Domain Detection in Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. 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

9 authors.

Song HeDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0002-4136-6151
Xinyu SongKey Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, P.R.China.ORCID 0000-0002-1905-3503
Xiaoxi YangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0002-2674-1902
Jijun YuState key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, P.R.China.ORCID 0000-0002-5103-6711
Yuqi WenDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0002-2391-3297
Lianlian WuDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0002-9611-4488
Bowei YanDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0001-8983-9686
Jiannan FengState key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, P.R.China.
Xiaochen BoDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing, P.R.China.ORCID 0000-0003-1911-7922

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive amounts of multi-omics data and multiple cancer subtyping methods have been developed rapidly, and generate discrepant clustering results, which poses challenges for cancer molecular subtype research. Thus, the development of methods for the identification of cancer consensus molecular subtypes is essential. The lack of intuitive and easy-to-use analytical tools has posed a barrier. Here, we report on the development of the COnsensus Molecular SUbtype of Cancer (COMSUC) web server. With COMSUC, users can explore consensus molecular subtypes of more than 30 cancers based on eight clustering methods, five types of omics data from public reference datasets or users' private data, and three consensus clustering methods. The web server provides interactive and modifiable visualization, and publishable output of analysis results. Researchers can also exchange consensus subtype results with collaborators via project IDs. COMSUC is now publicly and freely available with no login requirement at http://comsuc.bioinforai.tech/ (IP address: http://59.110.25.27/). For a video summary of this web server, see S1 Video and S1 File.

Indexed as

InternetNeoplasmsSoftwareAlgorithmsCluster AnalysisComputational BiologyConsensusHumans

Identifiers

PMID33735194
PMCPMC8009357

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.