Evidence map›Paper›PMID 36505834›Full record

ReviewFrontiers in oncology2022

Multi-omics approach to identifying isoform variants as therapeutic targets in cancer patients.

Timothy I Shaw, Bi Zhao, Yuxin Li, Hong Wang, Liang Wang, Brandon Manley, Paul A Stewart, Aleksandra Karolak

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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  6. Article
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  10. RNA-binding proteins regulating the CD44 alternative splicing.Frontiers in molecular biosciences · 2023
    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

8 authors.

Timothy I ShawDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Bi ZhaoDepartment of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Yuxin LiCenter for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, United States.
Hong WangCenter for Proteomics and Metabolomics, St. Jude Children's Research Hospital, Memphis, TN, United States.
Liang WangDepartment of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Brandon ManleyDepartment of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Paul A StewartDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.
Aleksandra KarolakDepartment of Machine Learning, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer-specific alternatively spliced events (ASE) play a role in cancer pathogenesis and can be targeted by immunotherapy, oligonucleotide therapy, and small molecule inhibition. However, identifying actionable ASE targets remains challenging due to the uncertainty of its protein product, structure impact, and proteoform (protein isoform) function. Here we argue that an integrated multi-omics profiling strategy can overcome these challenges, allowing us to mine this untapped source of targets for therapeutic development. In this review, we will provide an overview of current multi-omics strategies in characterizing ASEs by utilizing the transcriptome, proteome, and state-of-art algorithms for protein structure prediction. We will discuss limitations and knowledge gaps associated with each technology and informatics analytics. Finally, we will discuss future directions that will enable the full integration of multi-omics data for ASE target discovery.

Indexed as

alternative splicingbiomarkerproteomicstherapeutic discoverytranscriptomics

Identifiers

PMID36505834
PMCPMC9730332

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.