Evidence map›Paper›PMID 40896145›Full record

ArticleHuman reproduction open2025

Genetic determinants of testicular sperm extraction outcomes: insights from a large multicentre study of men with non-obstructive azoospermia.

Antoni Riera-Escamilla, Mohamed M Arafa, Ginevra Farnetani, Miguel J Xavier, Manon S Oud, Ahmad A Majzoub, Liliana Ramos, Chiara Abrardo, Matilde Spinelli, Daniel Moreno-Mendoza and 12 more

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Article in Human reproduction open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

22 authors.

Antoni Riera-EscamillaDepartment of Andrology, Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.ORCID https://orcid.org/0000-0002-4485-3094
Mohamed M ArafaDepartment of Urology, Hamad Medical Corporation, Doha, Qatar.
Ginevra FarnetaniDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Miguel J XavierFaculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK.ORCID https://orcid.org/0000-0003-0709-7223
Manon S OudDepartment of Human Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboudumc, Nijmegen, The Netherlands.ORCID https://orcid.org/0000-0001-9513-3030
Ahmad A MajzoubDepartment of Urology, Hamad Medical Corporation, Doha, Qatar.
Liliana RamosDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Chiara AbrardoDepartment of Andrology, Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Matilde SpinelliDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.
Daniel Moreno-MendozaDepartment of Andrology, Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Giuseppe DefazioDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0002-9356-5224
Elisabet ArsMolecular Genetic Laboratory Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Marc PybusMolecular Genetic Laboratory Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Josvany R Sánchez CurbeloDepartment of Andrology, Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Haitham T ElbardisiDepartment of Urology, Hamad Medical Corporation, Doha, Qatar.
Shoaib NawazLaboratory of Reproductive Biology, Sidra Medicine, Doha, Qatar.
Najeeb SyedLaboratory of Genomic Medicine, Sidra Medicine, Doha, Qatar.
Eduard Ruiz-CastanéDepartment of Andrology, Fundació Puigvert, Universitat Autònoma de Barcelona, Instituto de Investigaciones Biomédicas Sant Pau (IIB-Sant Pau), Barcelona, Catalonia, Spain.
Godfried W van der HeijdenDepartment of Obstetrics and Gynaecology, Radboud University Medical Centre, Nijmegen, The Netherlands.
Khalid A FakhroLaboratory of Genomic Medicine, Sidra Medicine, Doha, Qatar.
Joris A VeltmanFaculty of Medical Sciences, Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK.ORCID https://orcid.org/0000-0002-3218-8250
Csilla KrauszDepartment of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy.ORCID https://orcid.org/0000-0001-6748-8918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

study questionWhat is the diagnostic yield and the pre-testicular sperm extraction (TESE) prognostic value of a non-obstructive azoospermia (NOA)-specific virtual gene panel? SUMMARY ANSWER: The diagnostic yield in our cohort was 6.1%, and by combining our data with published literature, we identified 11 genes compatible with testicular sperm production and 19 genes associated with no sperm retrieval in carriers of pathogenic (P) or likely pathogenic (LP) mutations. WHAT IS KNOWN ALREADY: Azoospermia, the most severe form of male infertility, affects ∼1% of the male population, with TESE being the primary treatment option. However, in NOA, TESE fails in nearly 50% of cases and existing clinical parameters are unable to predict TESE failure. Over the past decade, next-generation sequencing (NGS) has identified several candidate NOA genes, but their diagnostic utility and impact on TESE outcomes have not been fully explored. STUDY DESIGN SIZE AND DURATION: A literature search was addressed to identify well-established NOA genes for designing a specific virtual gene panel for NOA. Our retrospective study analysed the diagnostic yield of the NGS-based virtual gene panel, comprising 145 genes, in 571 men affected by idiopathic NOA with known TESE outcomes. Subsequently, a second literature search was performed to identify carriers of LP/P variants in the genes where we identified mutations, focusing on individuals with known TESE outcomes. This approach allowed us to integrate the published data with our findings and predict a genotype-phenotype correlation between the affected genes and TESE success. PARTICIPANTS/MATERIALS SETTINGS

methods571 NOA patients with known TESE outcomes were recruited in two European and one Middle East centres. Variants were obtained from a whole-exome sequencing dataset and crossed with the 145 genes of the virtual gene panel. After a filtering process, variants were manually assessed and classified according to ACMG guidelines by using two methods: (i) In order to compare our data with previously published studies, we applied ACMG-AMP guidelines along with ClinGen recommendations used by other similar studies. (ii) A new approach was used to optimize ACMG-AMP guidelines with all ClinGen recommendations and incorporated NOA-specific rules addressing phenotypic, locus, and allelic heterogeneity. LP and P variants were confirmed by Sanger sequencing. MAIN RESULTS AND THE ROLE OF CHANCE: By using the new variant classification approach adapted for NOA, we identified LP/P variants in 6.1% of patients, with a higher yield (9.4%) in cases with negative TESE outcomes and maturation arrest (11.7%). By integrating our findings with the literature, we highlight 19 genes recurrently associated with negative TESE outcomes and 11 genes associated with positive sperm retrieval either in the testis or in semen. TESE is recommended for patients with LP or P variants in the 11 specific genes. Notably, six of these genes are located on the X chromosome, therefore, these variants will be obligatorily transmitted to daughters, and potentially increase the risk of NOA-related infertility in male offspring. We observed that nine genes, in which we identified LP/P variants, have been previously described in individuals with premature ovarian insufficiency (POI). Of these, eight were associated with negative TESE outcomes in men. Furthermore, we propose seven additional genes mutated in our cohort of NOA patients as novel POI candidates. These genes have not yet been considered as POI candidates, but they result in female infertility when knocked out in mouse models. LARGE SCALE DATA: LP/P variants have been submitted to ClinVar (https://www.ncbi.nlm.nih.gov/clinvar/). LIMITATIONS REASONS FOR CAUTION: NOA is genetically heterogeneous, and our panel excludes those genes which were reported only in a single subject or single family. Although this can limit the diagnostic yield in our study, it ensures that only genes with clear relationship with NOA have been analysed. While in our cohort TESE outcomes are known for all patients, this information is often not available for mutation carriers in the published studies. Consequently, the total number of patients with P variants in the same gene remains relatively low, limiting our final conclusions. However, even if the number of carriers of genes associated with positive sperm retrieval is relatively low, it does not constrain our conclusions regarding TESE prediction. On the other hand, caution is warranted for genes linked to negative TESE outcomes, except for WIDER IMPLICATIONS OF THE

findingsOur study was performed on the largest available NOA cohort with known TESE outcomes. It not only provides an estimate on the diagnostic potential of a NOA-specific virtual gene panel, but it also advances the understanding of genetic factors influencing TESE outcomes. Half of the genes mutated in our study and presenting TESE-positive outcomes are already informative for clinical decision-making. The observed genotype-phenotype correlations may help in personalized decision-making prior to TESE, in order to undergo the procedure or to avoid unnecessary invasive treatment. It provides valuable insights that can inform clinical management strategies and potentially offer personalized treatments based on genetic profiles. The use of two different variant classification methods highlights that previous studies may have over-estimated the diagnostic yield, underscoring the need for a standardized variant classification approach addressed specifically to male infertility. Our study also emphasizes the overlap between NOA- and POI-associated genes, which has important clinical implications for genetic counselling of female siblings of affected individuals. STUDY FUNDING/COMPETING INTERESTS: This work was funded by the Spanish Ministry of Health Instituto Carlos III-FIS FONDOS FEDER (grant numbers PI20/01562 and PI23/00425) and the Fanconi Research Fund awarded to C.K. and A.R.-E. This article is based upon work from COST Action CA20119 (ANDRONET), supported by COST (European Cooperation in Science and Technology) (www.cost.eu). C.K., A.R.-E., G.F., M.J.X., M.S.O., C.A., M.S., and E.R.-C. are members of the Action. This research was also supported by the Qatar National Research Fund (QNRF) under grant NPRP12S-0318-190394, and by an Investigator Award in Science from the Wellcome Trust (209451 to J.A.V.). The authors declare no competing interests.

Indexed as

azoospermiadiagnosticexomegene panelgeneticsmale infertilityPOIspermatogenesisTESE

Identifiers

PMID40896145
PMCPMC12396851

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