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Record W2953054451 · doi:10.3389/fendo.2019.00355

Role of Viral Infections in Testicular Cancer Etiology: Evidence From a Systematic Review and Meta-Analysis

2019· review· en· W2953054451 on OpenAlexaboutno aff
Andrea Garolla, Amerigo Vitagliano, Francesco Muscianisi, Umberto Valente, Marco Ghezzi, Alessandra Andrisani, Guido Ambrosini, Carlo Foresta

Bibliographic record

VenueFrontiers in Endocrinology · 2019
Typereview
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisSeminomaCytomegalovirusOdds ratioCervical cancerCancerParvovirusMedicineImmunologyVirusOncologyVirologyBiologyInternal medicineViral diseaseHerpesviridae

Abstract

fetched live from OpenAlex

The most represented histotype of testicular cancer is the Testicular germ-cell tumor (TGCTs), both seminoma and non.seminoma. The pathogenesis of this cancer is poorly known. A possible causal relationship between viral infections and TGCTs was firstly evoked almost forty years ago and is still a subject of debate. In the recent past, different authors have argued about a possible role of specific viruses in the development of TGCTs including human papillomavirus (HPV), Epstein Barr virus (EBV), cytomegalovirus (CMV), Parvovirus B-19 and human immunodeficiency virus (HIV). The aim of this present review was to summarize, for each virus considered, the available evidence on the impact of viral infections on the risk of developing TGCTs. The review was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We included all observational studies reported in English language evaluating the correlations between viral infections (HPV, CMV, EBV, Parvovirus B19, HIV) and TGCTs. The methodological quality of studies included in the meta-analysis using a modified version of the “Newcastle-Ottawa Scale”. Meta-analyses were conducted using the ‘Generic inverse variance’ method, where a pooled OR was determined from the natural logarithm (LN) of the studies’ individual OR [LN (OR)] and the 95% CI. A total number of twenty studies (on 265,057 patients) were included in the review. Meta-analysis showed an association with TGCTs only for some of explored viruses. In particular, no association was found for HPV, CMV and Parvovirus B-19 infection (p=ns). Conversely, EBV and HIV infections were significantly associated with higher risk of developing TGCTs (OR 7.38, 95% CI 1.89–28.75, p=0.004; OR 1.71, 95% CI 1.51-1.93, p<0.00001). In conclusion, we found adequate evidence supporting an oncogenic effect of HIV and EBV on the human testis. Conversely, available data on HPV and TGCTs risk are conflicting and further studies are needed to draw firm conclusions. Finally, current evidence does not support an effect of CMV and Parvovirus B-19 on testicular carcinogenesis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.067
GPT teacher head0.373
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations41
Published2019
Admission routes1
Has abstractyes

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