Evidence map›Paper›PMID 32462034›Full record

ArticleBioMed research international2020

Challenges in Cancer Biomarker Discovery Exemplified by the Identification of Diagnostic MicroRNAs in Prostate Tissues.

Filip Ambrozkiewicz, Jakub Karczmarski, Maria Kulecka, Agnieszka Paziewska, Magdalena Cybulska, Michal Szymanski, Jakub Dobruch, Artur Antoniewicz, Michal Mikula, Jerzy Ostrowski

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 36% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. 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

10 authors at 3 institutions in 2 countries.

Filip AmbrozkiewiczDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0001-6850-780X
Jakub KarczmarskiDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-7976-0365
Maria KuleckaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-9830-8892
Agnieszka PaziewskaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-6644-1509
Magdalena CybulskaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-1029-3156
Michal SzymanskiUro-oncology Department, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Jakub DobruchDepartment of Urology, Centre of Postgraduate Medical Education, Independent Public Hospital of Professor W. Orlowski, Warsaw, Poland.
Artur AntoniewiczDepartment of Urology, Multidisciplinary Hospital Warsaw-Miedzylesie, Warsaw, Poland.
Michal MikulaDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0003-3447-7328
Jerzy OstrowskiDepartment of Genetics, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.ORCID https://orcid.org/0000-0002-1450-8564
National Institute of Oncology · HUMiędzyleski Szpital Specjalistyczny w Warszawie · PLPostgraduate School of Molecular Medicine · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification and clinical translation of routinely tested biomarkers require a complex and multistep workflow. Here, we described a confirmatory process estimating the utility of previously identified candidate tissue miRNAs for diagnosis of prostate cancer (PCa). RNA was isolated from formalin-fixed paraffin-embedded (FFPE) prostate tissue surgically resected from 44 patients with PCa and 24 patients with benign prostate hyperplasia (BPH). Of the 92 RNA samples obtained, 68 represented 42 malignant (PCa) areas and 26 represented nonmalignant (PCa 0%) areas of the prostate tissue sections. The levels of miR-32-5p, miR-183-5p, miR-141-5p, miR-187-3p, miR-375, miR-663b, miR-615-3p, miR-205-5p, miR-221-3p, and miR-222-3p were evaluated using Exiqon chemistry. Five (miR-32-5p, miR-141-5p, miR-187-3p, miR-375, and miR-615-3p), one (miR-32-5p), and two (miR-32-5p and miR-141-5p) miRNAs discriminated between BPH and areas of cancer-bearing prostate tissue harboring different numbers of cancer cells (PCa 15-70%, PCa 2-10%, and PCA 0%, respectively), with an area under the receiver operating characteristics curve (AUC-ROC) > 0.9. Only miRNA 32-5p discriminated BPH specimens from sections of cancer-bearing prostate tissue with a low percentage, a high percentage, or no dysplastic cells. miR-32-5p could be considered as potential diagnostic biomarker discriminating BPH from noncancerous areas within cancer-bearing prostate tissue. However, further clinical studies are warranted to confirm its diagnostic utility.

Indexed as

AgedAged, 80 and overBiomarkers, TumorDiagnosis, DifferentialHumansMaleMicroRNAsMiddle AgedProstateProstatic HyperplasiaProstatic NeoplasmsBiomarkers, TumorMicroRNAs

Identifiers

PMID32462034
PMCPMC7225851
OpenAlexW3021034518

What OpenQuestion holds

Textmetadata
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.