Evidence map›Paper›PMID 33500226›Full record

ReviewTrends in cancer2021

Computing the Role of Alternative Splicing in Cancer.

Zhaoqi Liu, Raul Rabadan

Open access · greenAbstract readReview
In one paragraph

Review in Trends in cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Integrative transcriptomic analysis reveals alternative splicing complexity and transcriptomic diversity in porcine placentas across altitudes.DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Targeting alternative splicing in cancer immunotherapy.Frontiers in cell and developmental biology · 2023
    Review
  20. A new molecular subclassification andFrontiers in pharmacology · 2023
    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

2 authors at 2 institutions in 2 countries.

Zhaoqi LiuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China; China National Center for Bioinformation, Beijing 100101, China. Electronic address: liuzq@big.ac.cn.
Raul RabadanProgram for Mathematical Genomics, Columbia University, New York, NY 10032, USA; Departments of Systems Biology and Biomedical Informatics, Columbia University, New York, NY 10032, USA. Electronic address: rr2579@cumc.columbia.edu.
Beijing Institute of Genomics · CNColumbia University · US

Funding

Topology of Cancer Evolution and HeterogeneityU54CA193313 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2015 to 2020
$10.4M
Identification and modeling of driver genetic modules in glioblastomaR01CA179044 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2014 to 2018
$2.3M
(PQB5) Reconstruction of Evolutionary Networks using Cross-Sectional Genomic DataR01CA185486 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LASORELLA, ANNA, RABADAN, RAUL · 2014 to 2017
$2.1M
NCI NIH HHS R01 CA179044NCI NIH HHS R01 CA185486NCI NIH HHS U54 CA193313
6 · The paper itself

Abstract

Most human genes undergo alternative splicing (AS), and dysregulation of alternative splicing contributes to tumor initiation and progression. Computational analysis of genomic and transcriptomic data enables the systematic characterization of alternative splicing and its functional role in cancer. In this review, we summarize the latest computational approaches to studying alternative splicing in cancer and the current limitations of the most popular tools in this field. Finally, we describe some of the current computational challenges in the characterization of the role of alternative splicing in cancer.

Indexed as

Alternative SplicingAnimalsComputational BiologyHumansNeoplasmsRNA, MessengerRNA, Messengeralternative splicingcancercomputational analysisspliceosomal mutations

Identifiers

PMID33500226
PMCPMC7969404
OpenAlexW3124412403

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.