Evidence map›Paper›PMID 38127275›Full record

ArticleHormones (Athens, Greece)2024

Anti-Müllerian hormone: a novel biomarker for aggressive prostate cancer? Emerging evidence from a prospective study of radical prostatectomies.

Stavros Kontogiannis, Georgios Markantes, Maria Stamou, Michail Tsagkarakis, Irini Mamali, Konstantinos Giannitsas, Petros Perimenis, Neoklis Georgopoulos, Anastasios Athanasopoulos

Open access · greenAbstract read
In one paragraph

Article in Hormones (Athens, Greece), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Stavros KontogiannisUrology Department, Patras University Hospital, Patras, Greece. stavroskontogiannis@gmail.com.ORCID http://orcid.org/0000-0002-8832-1209
Georgios MarkantesEndocrinology Department, Patras University Hospital, Patras, Greece.
Maria StamouHarvard Reproductive Sciences Center, Massachusetts General Hospital, Boston, MA, USA.
Michail TsagkarakisUrology Department, Patras University Hospital, Patras, Greece.
Irini MamaliEndocrinology Department, Patras University Hospital, Patras, Greece.
Konstantinos GiannitsasUrology Department, Patras University Hospital, Patras, Greece.
Petros PerimenisUrology Department, Patras University Hospital, Patras, Greece.
Neoklis GeorgopoulosEndocrinology Department, Patras University Hospital, Patras, Greece.
Anastasios AthanasopoulosUrology Department, Patras University Hospital, Patras, Greece.
General University Hospital of Patras · GRMassachusetts General Hospital · US

Funding

The Massachusetts General Hospital Harvard Center for Reproductive MedicineP50HD104224 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI CURRANT, HANNAH · 2021 to 2025
$7.8M
Deciphering the Role of Copy Number Variants in Neuroendocrine Disorders of InfertilityF32HD108873 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI STAMOU, MARIA · 2022 to 2024
$233k
NICHD NIH HHS F32 HD108873NICHD NIH HHS P50 HD104224
6 · The paper itself

Abstract

purposeProstate cancer patients are a heterogeneous group as regards the aggressiveness of the disease. The relationship of steroid hormones with the aggressiveness of prostate cancer is unclear. It is known that the anti-Müllerian hormone (AMH) inhibits prostate cancer cell lines in vitro. The aim of this study is to investigate the relationship of AMH and steroid hormones with the aggressiveness of prostate cancer.

methodsThis was a prospective study of consecutive radical prostatectomy patients. We measured the following hormones: total testosterone, sex hormone-binding globulin, albumin, luteinizing hormone, follicle-stimulating hormone, estradiol, dehydroepiandrosterone sulfate, androstenedione, and AMH. The minimum follow-up after radical prostatectomy was 5 years. For the aggressiveness of prostate cancer, we considered the following three variables: post-operative Gleason score (GS) ≥ 8, TNM pΤ3 disease, and prostate-specific antigen (PSA) biochemical recurrence (BCR).

resultsIn total, 91 patients were enrolled. The mean age and PSA were 64.8 years and 9.3 ng/dl, respectively. The median post-operative GS was 7. Low AMH blood levels were correlated with higher post-operative GS (p = 0.001), as well as with PSA BCR (p = 0.043). With pT3 disease, only albumin was (negatively) correlated (p = 0.008). ROC analysis showed that AMH is a good predictor of BCR (AUC 0.646, 95% CI 0.510-0.782, p = 0.043); a cutoff value of 3.06 ng/dl had a positive prognostic value of 71.4% and a negative prognostic value of 63.3% for BCR. Cox regression analysis showed that AMH is a statistically significant and independent prognostic marker for BCR (p = 0.013). More precisely, for every 1 ng/ml of AMH rise, the probability for PSA BCR decreases by 20.8% (HR = 0.792). Moreover, in Kaplan-Meier analysis, disease-free survival is more probable in patients with AMΗ ≥ 3.06 ng/ml (p = 0.004).

conclusionsLow AMH blood levels were correlated with aggressive prostate cancer in this radical prostatectomy cohort of patients. Therefore, AMH could be a prognostic biomarker for the aggressiveness of the disease.

Indexed as

Anti-Mullerian HormoneBiomarkers, TumorProstatectomyProstatic NeoplasmsAgedHumansMaleMiddle AgedNeoplasm GradingProspective StudiesProstate-Specific AntigenTestosteroneAnti-Mullerian HormoneBiomarkers, TumorProstate-Specific AntigenTestosteroneAnti-Müllerian hormone (AMH)BiomarkerProstate cancerRadical prostatectomy

Identifiers

PMID38127275
PMCPMC11190032
OpenAlexW4390055723

What OpenQuestion holds

Textmetadata
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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.