Evidence map›Paper›PMID 33875650›Full record

ArticleNature communications2021

Spatially interacting phosphorylation sites and mutations in cancer.

Kuan-Lin Huang, Adam D Scott, Daniel Cui Zhou, Liang-Bo Wang, Amila Weerasinghe, Abdulkadir Elmas, Ruiyang Liu, Yige Wu, Michael C Wendl, Matthew A Wyczalkowski and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Monodisperse TiMikrochimica acta · 2022
    Article
  10. Review
  11. Article
  12. 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

20 authors.

Kuan-Lin HuangDepartment of Genetics and Genomics, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. kuan-lin.huang@mssm.edu.ORCID 0000-0002-5537-5817
Adam D ScottDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Daniel Cui ZhouDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-7834-2778
Liang-Bo WangDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-6977-9348
Amila WeerasingheDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-3568-5823
Abdulkadir ElmasDepartment of Genetics and Genomics, Tisch Cancer Institute, Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-7999-5770
Ruiyang LiuDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Yige WuDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Michael C WendlDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Matthew A WyczalkowskiDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-4197-551X
Jessika BaralDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Sohini SenguptaDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA.
Chin-Wen LaiDepartment of Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, USA.
Kelly RugglesCenter for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA.
Samuel H PayneDepartment of Biology, Brigham Young University, Provo, UT, USA.ORCID 0000-0002-8351-1994
Benjamin RaphaelLewis-Sigler Institute, Princeton University, Princeton, NJ, USA.
David FenyöCenter for Health Informatics and Bioinformatics, New York University School of Medicine, New York, NY, USA.ORCID 0000-0001-5049-3825
Ken ChenDepartments of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-4013-5279
Gordon MillsKnight Cancer Institute, Oregon Health & Science University, Portland, OR, USA.ORCID 0000-0002-0144-9614
Li DingDepartment of Medicine, McDonnell Genome Institute, Department of Genetics, Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO, USA. lding@genome.wustl.edu.

Funding

Cancer Proteome Center at Washington Univ, Univ of North Carolina & Boise StateU24CA160035 · NCI · WASHINGTON UNIVERSITY · PI CHEN, XIAN, ELLIS, MATTHEW J · 2011 to 2016
$11.8M
Proteogenomic Data Analysis for Cancer Systems Biology and Clinical TranslationU24CA210972 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DING, LI, FENYO, DAVID · 2016 to 2020
$3.3M
Integrative Approaches for Identifying Causal Gene-Cell Type Pairs of Complex DiseaseR35GM138113 · NIGMS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Kuan-lin Huang · 2020 to 2026
$3.0M
A Turnkey System for High-throughput Variant Discovery and InterpretationU01HG006517 · NHGRI · WASHINGTON UNIVERSITY · PI DING, LI · 2012 to 2015
$3.0M
Deep Discovery and Clinical Interpretation of Germline and Somatic Cancer DriversU24CA211006 · NCI · WASHINGTON UNIVERSITY · PI DING, LI, GOVINDAN, RAMASWAMY · 2016 to 2020
$1.8M
NCI NIH HHS U24 CA160035NCI NIH HHS U24 CA210972NCI NIH HHS U24 CA211006NHGRI NIH HHS U01 HG006517NIGMS NIH HHS R35 GM138113
6 · The paper itself

Abstract

Advances in mass-spectrometry have generated increasingly large-scale proteomics datasets containing tens of thousands of phosphorylation sites (phosphosites) that require prioritization. We develop a bioinformatics tool called HotPho and systematically discover 3D co-clustering of phosphosites and cancer mutations on protein structures. HotPho identifies 474 such hybrid clusters containing 1255 co-clustering phosphosites, including RET p.S904/Y928, the conserved HRAS/KRAS p.Y96, and IDH1 p.Y139/IDH2 p.Y179 that are adjacent to recurrent mutations on protein structures not found by linear proximity approaches. Hybrid clusters, enriched in histone and kinase domains, frequently include expression-associated mutations experimentally shown as activating and conferring genetic dependency. Approximately 300 co-clustering phosphosites are verified in patient samples of 5 cancer types or previously implicated in cancer, including CTNNB1 p.S29/Y30, EGFR p.S720, MAPK1 p.S142, and PTPN12 p.S275. In summary, systematic 3D clustering analysis highlights nearly 3,000 likely functional mutations and over 1000 cancer phosphosites for downstream investigation and evaluation of potential clinical relevance.

Indexed as

Mutationbeta CateninBinding SitesCluster AnalysisComputational BiologyErbB ReceptorsHumansMass SpectrometryNeoplasmsPhosphorylationProtein Tyrosine Phosphatase, Non-Receptor Type 12Proteomicsbeta CateninCTNNB1 protein, humanEGFR protein, humanErbB ReceptorsProtein Tyrosine Phosphatase, Non-Receptor Type 12PTPN12 protein, human

Identifiers

PMID33875650
PMCPMC8055881

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.