Evidence map›Paper›PMID 33802118›Full record

ArticleViruses2021

HERV-K Gag RNA and Protein Levels Are Elevated in Malignant Regions of the Prostate in Males with Prostate Cancer.

Simin D Rezaei, Joshua A Hayward, Sam Norden, John Pedersen, John Mills, Anna C Hearps, Gilda Tachedjian

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  3. CirculatingCancers · 2026
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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

7 authors at 2 institutions in 1 country.

Simin D RezaeiLife Sciences Discipline, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia.
Joshua A HaywardLife Sciences Discipline, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia.
Sam NordenTissuPath Specialist Pathology, Mount Waverley, VIC 3149, Australia.
John PedersenTissuPath Specialist Pathology, Mount Waverley, VIC 3149, Australia.
John MillsLife Sciences Discipline, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia.
Anna C HearpsLife Sciences Discipline, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia.
Gilda TachedjianLife Sciences Discipline, Burnet Institute, 85 Commercial Road, Melbourne, VIC 3004, Australia.ORCID 0000-0002-7733-7037
Burnet Institute · AUTissuPath · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heightened expression of human endogenous retrovirus (HERV) sequences has been associated with a range of malignancies, including prostate cancer, suggesting that they may serve as useful diagnostic or prognostic cancer biomarkers. We analysed the expression of HERV-K (Gag and Env/Np9 regions), HERV-E 4.1 (Pol and Env regions), HERV-H (Pol) and HERV-W (Gag) sequences in prostate cancer cells lines and normal prostate epithelial cells using qRT-PCR. HERV expression was also analysed in matched malignant and benign prostate tissue samples from men with prostate cancer (

Indexed as

AgedBiomarkers, TumorCell Line, TumorEndogenous RetrovirusesGene Expression Regulation, NeoplasticGene Products, envGene Products, gagGene Products, polHumansMaleMiddle AgedProstateProstatic NeoplasmsBiomarkers, TumorGene Products, envGene Products, gagGene Products, polNp9 protein, HERV-K, humanHERV-Khuman endogenous retrovirus (HERV)prostate cancer

Identifiers

PMID33802118
PMCPMC7999808
OpenAlexW3134112250

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.