Evidence map›Paper›PMID 39273446›Full record

ReviewInternational journal of molecular sciences2024

MicroRNAs in Genitourinary Malignancies: An Exciting Frontier of Cancer Diagnostics and Therapeutics.

Nikhita Kathuria-Prakash, Pranali Dave, Lizette Garcia, Paige Brown, Alexandra Drakaki

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

5 authors.

Nikhita Kathuria-PrakashDivision of Hematology/Oncology, Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA.ORCID 0000-0002-0370-5650
Pranali DaveSchool of Medicine, California University of Science and Medicine, Colton, CA 92324, USA.
Lizette GarciaDivision of Hospice and Palliative Medicine, Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA.
Paige BrownDepartment of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA.
Alexandra DrakakiDivision of Hematology/Oncology, Department of Medicine, UCLA David Geffen School of Medicine, Los Angeles, CA 90095, USA.ORCID 0000-0001-8865-3548

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genitourinary (GU) malignancies, including prostate, urothelial, kidney, testicular, penile, and adrenocortical cancers, comprise a significant burden of cancers worldwide. While many practice-changing advances have been made in the management of GU malignancies in the last decade, there is still significant room for improvement. MicroRNAs (miRNAs) are noncoding RNAs that regulate post-transcription gene expression and which have been implicated in multiple mechanisms of carcinogenesis. Therefore, they have the potential to revolutionize personalized cancer therapy, with several ongoing preclinical and clinical studies underway to investigate their efficacy. In this review, we describe the current landscape of miRNAs as diagnostics, therapeutics, and biomarkers of response for GU malignancies, reflecting a novel frontier in cancer treatment.

Indexed as

Biomarkers, TumorMicroRNAsUrogenital NeoplasmsAnimalsGene Expression Regulation, NeoplasticHumansBiomarkers, TumorMicroRNAsadrenocortical cancergenitourinary cancerskidney cancerMicroRNAprostate cancertesticular cancerurothelial cancer

Identifiers

PMID39273446
PMCPMC11394927

What OpenQuestion holds

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LicenceCC BY
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.