Evidence map›Paper›PMID 37935253›Full record

ArticleJournal of molecular biology2023

Cancer and Autism: How PTEN Mutations Degrade Function at the Membrane and Isoform Expression in the Human Brain.

Hyunbum Jang, Jiaye Chen, Lilia M Iakoucheva, Ruth Nussinov

Open access · hybridAbstract read
In one paragraph

Article in Journal of molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. How Functional Variants Reconfigure the Rac2 Conformational Landscape.bioRxiv : the preprint server for biology · 2026
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  5. The structural heterogeneity of AKT autoinhibition.Protein science : a publication of the Protein Society · 2026
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  9. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  10. Review
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  12. Review
  13. Molecular principles underlying aggressive cancers.Signal transduction and targeted therapy · 2025
    Review
  14. Article
  15. Article
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  17. Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Hyunbum JangComputational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD 21702, USA.
Jiaye ChenDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA.
Lilia M IakouchevaDepartment of Psychiatry, University of California San Diego, La Jolla, CA 92093, USA; Institute for Genomic Medicine, University of California San Diego, La Jolla, CA 92093, USA.
Ruth NussinovComputational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, National Cancer Institute, Frederick, MD 21702, USA; Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel. Electronic address: NussinoR@mail.nih.gov.
University of California San Diego · USFrederick National Laboratory for Cancer Research · USTel Aviv University · IL

Funding

Integrative functional genomic study of pathways impacted by recurrent autism CNVR01MH108528 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IAKOUCHEVA, LILIA M, MUOTRI, ALYSSON R. · 2016 to 2020
$2.6M
Evaluating the effect of splicing mutations on isoform networks in autismR01MH109885 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IAKOUCHEVA, LILIA M, MUOTRI, ALYSSON R. · 2016 to 2020
$2.5M
Protein Structure, Stability, and Amyloid FormationZ01BC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$1.4M
Biomolecular Recognition and Binding MechanismsZ01BC010441 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$1.2M
Method Development: Efficient Computer Vision Based AlgorithmsZ01BC010442 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$454k
Intramural NIH HHS Z01 BC010440Intramural NIH HHS Z01 BC010441Intramural NIH HHS Z01 BC010442NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003INIMH NIH HHS R01 MH108528NIMH NIH HHS R01 MH109885
6 · The paper itself

Abstract

Mutations causing loss of PTEN lipid phosphatase activity can promote cancer, benign tumors (PHTS), and neurodevelopmental disorders (NDDs). Exactly how they preferentially trigger distinct phenotypic outcomes has been puzzling. Here, we demonstrate that PTEN mutations differentially allosterically bias P loop dynamics and its connection to the catalytic site, affecting catalytic activity. NDD-related mutations are likely to sample conformations of the functional wild-type state, while sampled conformations for the strong, cancer-related driver mutation hotspots favor catalysis-primed conformations, suggesting that NDD mutations are likely to be weaker, and our large-scale simulations show why. Prenatal PTEN isoform expression data suggest exons 5 and 7, which harbor NDD mutations, as cancer-risk carriers. Since cancer requires more than a single mutation, our conformational and genomic analysis helps discover how same protein mutations can foster different clinical manifestations, articulates a role for co-occurring background latent driver mutations, and uncovers relationships of splicing isoform expression to life expectancy.

Indexed as

Autistic DisorderBrainNeoplasmsPTEN PhosphohydrolaseHumansMutationProtein IsoformsProtein IsoformsPTEN PhosphohydrolasePTEN protein, humanallosteric mutationsautism spectrum disordercancerneurodevelopmental disorderstumor suppressor

Identifiers

PMID37935253
PMCPMC10842829
OpenAlexW4388374416

What OpenQuestion holds

Textmetadata
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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.