Evidence map›Paper›PMID 31047772›Full record

ReviewTrends in biochemical sciences2019

Gain-of-Function Mutations: An Emerging Advantage for Cancer Biology.

Yongsheng Li, Yunpeng Zhang, Xia Li, Song Yi, Juan Xu

Abstract readReview
In one paragraph

Review in Trends in biochemical sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Article
  3. A De Novo Mutation (c.2423A>G) inHuman mutation · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Natural History and Clinicopathological Associations of TRPC6-Associated Podocytopathy.Journal of the American Society of Nephrology : JASN · 2025
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Tevenvirinae phages encode a family of LSm-like fold proteins.Computational and structural biotechnology journal · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

5 authors.

Yongsheng LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China; Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA.
Yunpeng ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Xia LiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China; College of Bioinformatics, Hainan Medical University, Haikou 570100, China. Electronic address: lixia@ems.hrbmu.edu.cn.
Song YiDepartment of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX 78712, USA; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: Stephen.yi@austin.utexas.edu.
Juan XuCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China. Electronic address: xujuanbiocc@ems.hrbmu.edu.cn.

Funding

Fostering Career Development: Functional Analyses of Molecular Interactome Perturbations by Cancer MutationsK22CA214765 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI YI, S. STEPHEN · 2018 to 2019
$368k
NCI NIH HHS K22 CA214765
6 · The paper itself

Abstract

Advances in next-generation sequencing have identified thousands of genomic variants that perturb the normal functions of proteins, further contributing to diverse phenotypic consequences in cancer. Elucidating the functional pathways altered by loss-of-function (LOF) or gain-of-function (GOF) mutations will be crucial for prioritizing cancer-causing variants and their resultant therapeutic liabilities. In this review, we highlight the fundamental function of GOF mutations and discuss the potential mechanistic effects in the context of signaling networks. We also summarize advances in experimental and computational resources, which will dramatically help with studies on the functional and phenotypic consequences of mutations. Together, systematic investigations of the function of GOF mutations will provide an important missing piece for cancer biology and precision therapy.

Indexed as

Binding SitesClustered Regularly Interspaced Short Palindromic RepeatsGain of Function MutationGenomicsHigh-Throughput Nucleotide SequencingHumansModels, BiologicalMutant ProteinsMutationNeoplasmsPhenotypeProtein BindingProtein ConformationMutant Proteinsdriver mutationsGain-of-function mutationssignaling network

Identifiers

PMID31047772
PMCPMC6944532

What OpenQuestion holds

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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.