Evidence map›Paper›PMID 34017579›Full record

ReviewAmerican journal of translational research2021

Single nucleotide polymorphisms (SNPs) in prostate cancer: its implications in diagnostics and therapeutics.

Khaled S Allemailem, Ahmad Almatroudi, Faris Alrumaihi, Nahlah Makki Almansour, Fahad M Aldakheel, Rafiq Ahmad Rather, Dil Afroze, Bilal Rah

Open access · greenAbstract readReview
In one paragraph

Review in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
6.2field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Association ofInternational journal of medical sciences · 2026
    Article
  8. Potential impact ofInternational journal of medical sciences · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Biomarkers in Localized Prostate Cancer: From Diagnosis to Treatment.International journal of molecular sciences · 2025
    Review
  14. Article
  15. Article
  16. Genetic variants ofInternational journal of medical sciences · 2025
    Article
  17. Article
  18. Review
  19. Prostate cancer biomarkers: from early diagnosis to precision treatment.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Review
  20. 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

8 authors at 4 institutions in 2 countries.

Khaled S AllemailemDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University Buraydah, Saudi Arabia.
Ahmad AlmatroudiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University Buraydah, Saudi Arabia.
Faris AlrumaihiDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University Buraydah, Saudi Arabia.
Nahlah Makki AlmansourDepartment of Biology, College of Science, University of Hafr Al Batin Hafr Al Batin, Saudi Arabia.
Fahad M AldakheelDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Saud University Riyadh, Saudi Arabia.
Rafiq Ahmad RatherAdvanced Centre for Human Genetics, Sher-i-Kashmir Institute of Medical Science Srinagar, Jammu and Kashmir, India.
Dil AfrozeAdvanced Centre for Human Genetics, Sher-i-Kashmir Institute of Medical Science Srinagar, Jammu and Kashmir, India.
Bilal RahDepartment of Medical Laboratories, College of Applied Medical Sciences, Qassim University Buraydah, Saudi Arabia.
Qassim University · SASher-i-Kashmir Institute of Medical Sciences · INKing Saud Medical City · SAUniversity of Hafr Al-Batin · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is one of the most frequently diagnosed malignancies in developed countries and approximately 248,530 new cases of prostate cancer are likely to be diagnosed in the United States in 2021. During the late 1990s and 2000s, the prostate cancer-related death rate has decreased by 4% per year on average because of advancements in prostate-specific antigen (PSA) testing. However, the non-specificity of PSA to distinguish between benign and malignant forms of cancer is a major concern in the management of prostate cancer. Despite other risk factors in the pathogenesis of prostate cancer, recent advancement in molecular genetics suggests that genetic heredity plays a crucial role in prostate carcinogenesis. Approximately, 60% of heritability and more than 100 well-recognized single-nucleotide-polymorphisms (SNPs) have been found to be associated with prostate cancer and constitute a major risk factor in the development of prostate cancer. Recent findings revealed that a low to moderate effect on the progression of prostate cancer of individual SNPs was observed compared to a strong progressive effect when SNPs were in combination. Here, in this review, we made an attempt to critically analyze the role of SNPs and associated genes in the development of prostate cancer and their implications in diagnostics and therapeutics. A better understanding of the role of SNPs in prostate cancer susceptibility may improve risk prediction, enhance fine-mapping, and furnish new insights into the underlying pathophysiology of prostate cancer.

Indexed as

polymorphismProstate cancerprostate specific antigensingle nucleotide polymorphismstumorigenesis

Identifiers

PMID34017579
PMCPMC8129253
OpenAlexW3163707190

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.