Evidence map›Paper›PMID 39926850›Full record

ArticleJournal of pharmacy & bioallied sciences2024

Efficacy of Next-Generation Sequencing in Identifying Genetic Markers for Prostate Cancer Risk.

Fahad H Alaithan, Raghad H Alaithan, Tauheed Ahmed

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fahad H AlaithanAlmaarefa University, Al Khalidiyah, Diriyah, Kingdom of Saudi Arabia.
Raghad H AlaithanAlmaarefa University, Al Khalidiyah, Diriyah, Kingdom of Saudi Arabia.
Tauheed AhmedUrology Department of Iman General Hospital, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prostate cancer is one of the most prevalent cancers among men worldwide. The identification of genetic markers that contribute to the risk of prostate cancer can significantly enhance early diagnosis and personalized treatment strategies. Next-Generation Sequencing (NGS) has emerged as a powerful tool for uncovering genetic variations associated with various cancers, including prostate cancer. Materials and Methods: A cohort of 200 men, consisting 100 diagnosed with prostate cancer and 100 healthy controls, was recruited for this study. DNA samples were extracted from blood and tumor tissues, followed by library preparation and sequencing using an Illumina platform. Bioinformatic analysis was conducted to identify single nucleotide polymorphisms (SNPs), copy number variations (CNVs), and other genetic alterations linked to prostate cancer. Statistical analysis was performed to assess the association between identified genetic markers and prostate cancer risk. Results: NGS identified a total of 450 genetic variants, with 50 SNPs showing a strong association with prostate cancer risk ( Conclusion: This study demonstrates the efficacy of NGS in identifying genetic markers associated with prostate cancer risk.

Indexed as

BRCA1BRCA2genetic markersHOXB13MYCnext-generation sequencingprostate cancerPTEN

Identifiers

PMID39926850
PMCPMC11805145

What OpenQuestion holds

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Registered trials

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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.