Evidence map›Paper›PMID 36040379›Full record

ArticleCancer research2022

Pan-Cancer Analysis of Canonical and Modified miRNAs Enhances the Resolution of the Functional miRNAome in Cancer.

Rosario Distefano, Luisa Tomasello, Gian Luca Rampioni Vinciguerra, Pierluigi Gasparini, Yujia Xiang, Marina Bagnoli, Gioacchino P Marceca, Paolo Fadda, Alessandro Laganà, Mario Acunzo and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

14 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. MicroRNAs and Their Profiling via Single-Cell Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
  5. MiREDiBase: A Comprehensive Resource for miRNA Editing Events.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  6. Article
  7. Article
  8. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

13 authors at 6 institutions in 3 countries.

Rosario DistefanoDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-7241-7751
Luisa TomaselloDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-8700-1759
Gian Luca Rampioni VinciguerraDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-0739-1668
Pierluigi GaspariniDepartment of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-8311-8845
Yujia XiangDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-5070-6816
Marina BagnoliFondazione IRCCS Istituto Nazionale dei Tumori (INT), Milan, Italy.ORCID 0000-0001-7655-4630
Gioacchino P MarcecaDepartment of Clinical and Experimental Medicine, University of Catania, Catania, Italy.ORCID 0000-0002-5005-0204
Paolo FaddaGenomics Shared Resource, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-9444-1461
Alessandro LaganàDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0003-1134-0564
Mario AcunzoDivision of Pulmonary Diseases and Critical Care Medicine, Virginia Commonwealth University, Richmond, Virginia.ORCID 0000-0002-3942-9061
Qin MaDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio.ORCID 0000-0002-3264-8392
Giovanni Nigita *Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0001-8880-4334
Carlo M Croce *Department of Cancer Biology and Genetics, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio.ORCID 0000-0003-3788-1457
The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · USThe Ohio State University · USFondazione IRCCS Istituto Nazionale dei Tumori · ITIcahn School of Medicine at Mount Sinai · USUniversity of Catania · ITVirginia Commonwealth University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Cancer Gene Discovery to Identify Targetable TargetsR35CA197706 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M · 2015 to 2021
$6.4M
Institutional Career Development CoreKL2TR002648 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI NANASINKAM, SERGE PATRICK, SANYAL, ARUN J · 2018 to 2022
$3.7M
NCATS NIH HHS KL2 TR002648NCATS NIH HHS UL1 TR002649NCI NIH HHS P30 CA016058NCI NIH HHS R35 CA197706
6 · The paper itself

Abstract

Epitranscriptomic studies of miRNAs have added a new layer of complexity to the cancer field. Although there is fast-growing interest in adenosine-to-inosine (A-to-I) miRNA editing and alternative cleavage that shifts miRNA isoforms, simultaneous evaluation of both modifications in cancer is still missing. Here, we concurrently profiled multiple miRNA modification types, including A-to-I miRNA editing and shifted miRNA isoforms, in >13,000 adult and pediatric tumor samples across 38 distinct cancer cohorts from The Cancer Genome Atlas and The Therapeutically Applicable Research to Generate Effective Treatments data sets. The differences between canonical miRNAs and the wider miRNAome in terms of expression, clustering, dysregulation, and prognostic standpoint were investigated. The combination of canonical miRNAs and modified miRNAs boosted the quality of clustering results, outlining unique clinicopathologic features among cohorts. Certain modified miRNAs showed opposite expression from their canonical counterparts in cancer, potentially impacting their targets and function. Finally, a shifted and edited miRNA isoform was experimentally validated to directly bind and suppress a unique target. These findings outline the importance of going beyond the well-established paradigm of one mature miRNA per miRNA arm to elucidate novel mechanisms related to cancer progression. SIGNIFICANCE: Modified miRNAs may act as cancer biomarkers and function as allies or antagonists of their canonical counterparts in gene regulation, suggesting the concurrent consideration of canonical and modified miRNAs can boost patient stratification.

Indexed as

MicroRNAsNeoplasmsAdenosineAdultBiomarkers, TumorChildHumansInosineAdenosineBiomarkers, TumorInosineMicroRNAs

Identifiers

PMID36040379
PMCPMC9574374
OpenAlexW4293574833

What Socratic 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 Socratic graph.