Evidence map›Paper›PMID 33567269›Full record

ArticleMolecular cell2021

Systematic characterization of mutations altering protein degradation in human cancers.

Collin Tokheim, Xiaoqing Wang, Richard T Timms, Boning Zhang, Elijah L Mena, Binbin Wang, Cynthia Chen, Jun Ge, Jun Chu, Wubing Zhang and 3 more

Open access · greenAbstract read
In one paragraph

Article in Molecular cell, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.0field-weighted citation impact, top 2% 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

54 citing papers in PubMed, 84 citations in OpenAlex.

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  16. Degrons: defining the rules of protein degradation.Nature reviews. Molecular cell biology · 2025
    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

13 authors at 6 institutions in 2 countries.

Collin TokheimDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Xiaoqing WangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Richard T TimmsDivision of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Boning ZhangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA.
Elijah L MenaDivision of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Binbin WangClinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Cynthia ChenThe Harker School, San Jose, CA 95129, USA.
Jun GeClinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Jun ChuKey Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei, Anhui 230038, China.
Wubing ZhangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Clinical Translational Research Center, Shanghai Pulmonary Hospital, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Stephen J ElledgeDivision of Genetics, Department of Medicine, Howard Hughes Medical Institute, Brigham and Women's Hospital, Boston, MA 02115, USA; Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. Electronic address: selledge@genetics.med.harvard.edu.
Myles BrownDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Electronic address: myles_brown@dfci.harvard.edu.
X Shirley LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: xsliu@ds.dfci.harvard.edu.
Dana-Farber Cancer Institute · USBrigham and Women's Hospital · USTongji University · CNAnhui University of Traditional Chinese Medicine · CNDana-Farber/Harvard Cancer Center · USHoward Hughes Medical Institute · US

Funding

Ubiquitin Mediated Proteolysis and Cell Cycle ControlR01AG011085 · NIA · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI JEFFREY W HARPER · 1993 to 2026
$10.9M
Developing Informatics Technologies to Model Cancer Gene RegulationU01CA180980 · NCI · DANA-FARBER CANCER INST · PI LIU, XIAOLE SHIRLEY · 2013 to 2015
$1.1M
Howard Hughes Medical InstituteNCI NIH HHS U01 CA180980NIA NIH HHS R01 AG011085Wellcome Trust 201387/Z/16/Z
6 · The paper itself

Abstract

The ubiquitin-proteasome system (UPS) is the primary route for selective protein degradation in human cells. The UPS is an attractive target for novel cancer therapies, but the precise UPS genes and substrates important for cancer growth are incompletely understood. Leveraging multi-omics data across more than 9,000 human tumors and 33 cancer types, we found that over 19% of all cancer driver genes affect UPS function. We implicate transcription factors as important substrates and show that c-Myc stability is modulated by CUL3. Moreover, we developed a deep learning model (deepDegron) to identify mutations that result in degron loss and experimentally validated the prediction that gain-of-function truncating mutations in GATA3 and PPM1D result in increased protein stability. Last, we identified UPS driver genes associated with prognosis and the tumor microenvironment. This study demonstrates the important role of UPS dysregulation in human cancer and underscores the potential therapeutic utility of targeting the UPS.

Indexed as

Deep LearningModels, GeneticMutationNeoplasm ProteinsNeoplasmsProteolysisCell Line, TumorHEK293 CellsHumansNeoplasm Proteins

Identifiers

PMID33567269
PMCPMC9245451
OpenAlexW3127856087

What OpenQuestion holds

Textmetadata
LicenceTDM
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.