Evidence map›Paper›PMID 31956794›Full record

ArticleACS omega2020

Whole Exome and Transcriptome RNA-Sequencing Model for the Diagnosis of Prostate Cancer.

Jason B Nikas, Nikos T Mitanis, Emily G Nikas

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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  5. GABPA-Mediated Expression of HPN-AS1 Facilitates Cell Apoptosis and Inhibits Cell Proliferation in Hepatocellular Carcinoma by Promoting eIF4A3 Degradation.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2024
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  12. Rapid Detection Method for PathogenicInternational journal of nanomedicine · 2021
    Article
  13. Streamlining Quantitative Analysis of Long RNA Sequencing Reads.International journal of molecular sciences · 2020
    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

3 authors at 2 institutions in 2 countries.

Jason B NikasResearch & Development, Genomix Inc., Minneapolis, Minnesota 55364, United States.
Nikos T MitanisDepartment of Mathematics, University of the Aegean, Samos 83200, Greece.
Emily G NikasSchool of Mathematics, University of Minnesota, Minneapolis, Minnesota 55455, United States.
University of Minnesota · USUniversity of the Aegean · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In our previous study, we developed a genome-wide DNA methylation model for the diagnosis of prostate cancer, and we pointed out that a considerable average error is associated with the current method for the diagnosis of prostate cancer, which is predicated on pathological assessment of biopsied tissue. In this study, we utilized whole exome and transcriptome RNA-sequencing (RNA-seq) data that were derived from 468 tumor samples and 51 normal samples of prostatic tissue, and we analyzed over 20,000 genes per sample. We were able to develop a mathematical model that classified tumor tissue versus normal tissue with a high accuracy. The overall sensitivity was 97.01%, and the overall specificity was 94.12%. The input variables to the model were the mRNA expression values of the following nine genes:

Identifiers

PMID31956794
PMCPMC6964263
OpenAlexW2997283856

What OpenQuestion holds

Textmetadata
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.