Evidence map›Paper›PMID 42794701›Full record

SynthesisInternational journal of molecular sciences2026

Lipoprotein(a) and Prostate Cancer: A Systematic Review of Observational, Genetic and Mendelian Randomization Evidence.

Mikołaj Kisiała, Wojciech Bajurny, Jakub Karwacki, Aleksandra Marcinkowska, Mateusz Litarski, Michał Tulski, Dominik Zawadzki, Patryk Patrzałek, Adam Gurwin, Łukasz Nowak and 3 more

Abstract readSystematic ReviewReview
In one paragraph

Synthesis in International journal of molecular sciences, 2026. 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

13 authors.

Mikołaj KisiałaDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0009-0005-2470-7996
Wojciech BajurnyDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0009-0009-3444-9627
Jakub KarwackiDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0009-0005-4441-1877
Aleksandra MarcinkowskaDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Mateusz LitarskiDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Michał TulskiDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Dominik ZawadzkiDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.
Patryk PatrzałekDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0009-0000-1369-3633
Adam GurwinDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0002-9711-6709
Łukasz NowakDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0003-4273-8196
Wojciech KrajewskiDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0003-1727-2283
Tomasz SzydełkoDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0002-1360-0422
Bartosz MałkiewiczDepartment of Minimally Invasive and Robotic Urology, University Center of Excellence in Urology, Wroclaw Medical University, 50-556 Wroclaw, Poland.ORCID 0000-0002-5933-3753

Funding

Wroclaw Medical University SUBZ.C090.26.080
6 · The paper itself

Abstract

Cancer is a major cause of morbidity worldwide. Prostate cancer (PCa) is one of the most commonly diagnosed malignancies in men and is clinically heterogeneous, highlighting the need for additional biomarkers that may improve risk stratification. Lipoprotein(a) [Lp(a)] is a genetically determined and increasingly available biomarker, but its relationship with PCa remains uncertain. This systematic review aimed to synthesize observational, genetic, and Mendelian randomization evidence on the associations of circulating Lp(a), LPA-related genetic variants, and genetically predicted Lp(a) with prostate cancer incidence, mortality, and clinicopathological features, and to assess the potential clinical implications of the available evidence. We conducted this review in accordance with PRISMA guidelines. PubMed, Scopus, and Web of Science databases were searched from inception to May 2026. Eligible studies were original, peer-reviewed studies in English that assessed circulating Lp(a), LPA-related genetic variants, or genetically predicted Lp(a) in relation to prostate cancer incidence, mortality, or clinicopathological features. Certainty of evidence was assessed using GRADE. Due to heterogeneity in study designs, exposure assessments, endpoints, and effect measures, results were synthesized narratively; no meta-analysis was performed. The search identified 489 records. After duplicate removal, 253 records were screened, 15 full-text reports were assessed, and 12 studies were included. These comprised prospective cohort or biobank-observational studies, observational studies, one genetic cohort study, and Mendelian randomization studies. Studies of circulating Lp(a) showed inconsistent findings for prostate cancer incidence and mortality. One cohort reported a positive association in a categorical analysis, whereas other studies found no association or a non-significant inverse association. The genetic cohort study found no robust association between LPAL2-LPA variants and prostate cancer incidence after correction for multiple testing. Mendelian randomization findings were mixed. Although several analyses yielded directionally positive or statistically significant estimates, several primary analyses were null or borderline, and estimates varied across methods and datasets. Overall, the Mendelian randomization evidence was of low certainty and does not establish a causal association between genetically predicted Lp(a) and PCa risk. Evidence for clinicopathological features was limited and inconsistent. Certainty of evidence was low for Mendelian randomization studies and very low for circulating Lp(a), genetic cohort evidence, and clinicopathological outcomes. Current evidence regarding Lp(a), LPA genetic variants, and genetically predicted Lp(a) in PCa remains heterogeneous and clinically inconclusive. Although some studies reported positive associations, the overall evidence linking Lp(a) to prostate cancer is inconsistent and of low certainty, and does not currently support a clear association.

Indexed as

Biomarkers, TumorLipoprotein(a)Prostatic NeoplasmsGenetic Predisposition to DiseaseHumansMaleMendelian Randomization AnalysisObservational Studies as TopicBiomarkers, TumorLipoprotein(a)biomarkerslipoprotein(a)Mendelian randomizationprostate cancersystematic review

Identifiers

PMID42794701
PMCPMC13607466

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.