Evidence map›Paper›PMID 35740618›Full record

ReviewCancers2022

Predictive and Prognostic Value of Non-Coding RNA in Breast Cancer.

Navid Sobhani, Richard Chahwan, Raheleh Roudi, Rachel Morris, Stefano Volinia, Dafei Chai, Alberto D'Angelo, Daniele Generali

Abstract readReview
In one paragraph

Review in Cancers, 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
–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

14 citing papers in PubMed.

  1. Article
  2. Review
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  7. Article
  8. Circulating tumor cellsTranslational breast cancer research : a journal focusing on translational research in breast cancer · 2024
    Review
  9. Article
  10. Review
  11. Review
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  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

8 authors.

Navid SobhaniSection of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.ORCID 0000-0003-1381-0283
Richard ChahwanInstitute of Experimental Immunology, University of Zurich, CH-8057 Zurich, Switzerland.ORCID 0000-0002-8672-7790
Raheleh RoudiMolecular Imaging Program at Stanford, Department of Radiology, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-5023-4743
Rachel MorrisThunder Biotech, 395 Cougar Blvd, Provo, UT 84604, USA.
Stefano VoliniaDepartment of Morphology, Embryology and Medical Oncology, Università Degli Studi di Ferrara, 44100 Ferrara, Italy.
Dafei ChaiSection of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA.
Alberto D'AngeloDepartment of Biology & Biochemistry, University of Bath, Bath BA27AY, UK.ORCID 0000-0001-8417-9172
Daniele GeneraliDepartment of Medical Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy.ORCID 0000-0001-6002-1530

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For decades since the central dogma, cancer biology research has been focusing on the involvement of genes encoding proteins. It has been not until more recent times that a new molecular class has been discovered, named non-coding RNA (ncRNA), which has been shown to play crucial roles in shaping the activity of cells. An extraordinary number of studies has shown that ncRNAs represent an extensive and prevalent group of RNAs, including both oncogenic or tumor suppressive molecules. Henceforth, various clinical trials involving ncRNAs as extraordinary biomarkers or therapies have started to emerge. In this review, we will focus on the prognostic and diagnostic role of ncRNAs for breast cancer.

Indexed as

biomarkersbreast cancerdiagnosticnon-coding RNAprognostic

Identifiers

PMID35740618
PMCPMC9221286

What OpenQuestion holds

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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.