| Literature DB >> 35062986 |
Alireza Khatami1, Zahra Salavatiha2, Mohammad Hossein Razizadeh2.
Abstract
BACKGROUND: The possible association of human papillomavirus (HPV) and bladder cancer has been controversial. Older findings suggest a significant association between the virus and bladder cancer. The aim of this study was to evaluate the data from the last ten years to estimate the prevalence of the virus in bladder cancer patients and to assess the association between the virus and cancer.Entities:
Keywords: Bladder cancer; HPV; Human papillomavirus; Meta-analysis
Year: 2022 PMID: 35062986 PMCID: PMC8780707 DOI: 10.1186/s13027-022-00415-5
Source DB: PubMed Journal: Infect Agent Cancer ISSN: 1750-9378 Impact factor: 2.965
Fig. 1Flow diagram of the search strategy and studies selection process for studies in meta-analysis
Fig. 2Forest plot of the pooled prevalence for HPV in bladder cancer
General characteristics of the included studies with case–control and cross-sectional design
| First author | Study design | pub year | country | Continent | Method | Type of sample | Case | Positive (case) | Control | Positive (control) |
|---|---|---|---|---|---|---|---|---|---|---|
| Sorlozanoa et al. [ | Case–control | 2011 | Spain | Europe | Nested PCR | Frozen | 85 | 8 | 51 | 7 |
| Polese et al. [ | Case–control | 2011 | Italy | Europe | PCR | Frozen | 114 | 81 | 140 | 108 |
| Cai et al. [ | Case–control | 2011 | Italy | Europe | PCR | Not indicated | 78 | 51 | 59 | 21 |
| Barghi et al. [ | Cross-sectional | 2012 | Iran | Asia | PCR | FFPE | 82 | 24 | ||
| Panagiotakis et al. [ | Case–control | 2012 | Greece | Europe | PCR | Frozen | 30 | 0 | 30 | 0 |
| Chapman-Fredricks et al. [ | Cross-sectional | 2013 | USA | America | ISH | FFPE | 14 | 0 | ||
| Chapman-Fredricks et al. [ | Cross-sectional | 2013 | USA | America | Hologic | FFPE | 14 | 3 | ||
| Shigehara et al. [ | Cross-sectional | 2013 | Japan | Asia | PCR | FFPE | 84 | 5 | ||
| Berrada et al. [ | Case–control | 2013 | Morocco | Africa | Nested PCR | Frozen | 43 | 22 | 5 | 0 |
| Alexander et al. [ | Cross-sectional | 2014 | China | Asia | ISH | FFPE | 36 | 0 | ||
| Borkowska et al. [ | Cross-sectional | 2014 | Poland | Europe | Array | Not indicated | 104 | 14 | ||
| Golovina et al. [ | Cross-sectional | 2014 | Russia | Europe | PCR | Frozen | 35 | 16 | ||
| Kim et al. [ | Case–control | 2014 | Korea | Asia | Array | FFPE | 35 | 6 | 12 | 1 |
| Pichler et al. [ | Cross-sectional | 2015 | Austria | Oceania | PCR | FFPE | 186 | 4 | ||
| Schmid et al. [ | Case–control | 2015 | Germany | Europe | PCR | Frozen | 109 | 0 | 26 | 0 |
| Anwar et al. [ | Case–control | 2015 | Pakistan | Asia | PCR | FFPE | 114 | 16 | 107 | 2 |
| Golovina et al. [ | Cross-sectional | 2016 | Russia | Europe | PCR | Frozen | 101 | 38 | ||
| Jorgensena et al. [ | Cross-sectional | 2018 | Denmark | Europe | INNO-LiPA | FFPE | 100 | 12 | ||
| Llewellyn et al. [ | Cross-sectional | 2018 | UK | Europe | PCR | Frozen | 689 | 1 | ||
| Uttam et al. [ | Cross-sectional | 2018 | India | Asia | PCR | FFPE/Frozen | 50 | 0 | 10 | 0 |
| Abdollahzadeh et al. [ | Case–control | 2018 | Iran | Asia | IHC | FFPE | 67 | 15 | 30 | 1 |
| Javanmard et al. [ | Cross-sectional | 2019 | Iran | Asia | PCR | FFPE | 110 | 89 | ||
| Sarier et al. [ | Case–control | 2019 | Turkey | Europe | PCR | Frozen | 69 | 20 | 69 | 6 |
| Collins et al. [ | Cross-sectional | 2020 | USA | America | ISH | FFPE | 33 | 0 | ||
| Gordetsky et al. [ | Cross-sectional | 2020 | USA | America | ISH | FFPE | 207 | 1 | ||
| Moghadam et al. [ | Cross-sectional | 2020 | Iran | Asia | PCR | FFPE | 106 | 24 | ||
| Yan et al. [ | Cross-sectional | 2020 | China | Asia | NGS | Frozen | 146 | 42 | ||
| Yildizhan et al. [ | Case–control | 2020 | Turkey | Europe | PCR | FFPE | 113 | 4 | 99 | 9 |
Overall prevalence and subgroup analysis results
| Characteristics | Categories | No. of data sets | Pooled prevalence (%) (95% CI) | Heterogeneity | ||
|---|---|---|---|---|---|---|
| Q value | P-value | I2% | ||||
| Overall | – | 28 | 14.3 (8.9–22.2) | 440.035 | 0.000 | 93.864 |
| Continent | Africa | 1 | 51.2 (36.6–65.6) | 0.000 | 1.000 | 0.000 |
| America | 5 | 3.1 (0.4–21.9) | 12.795 | 0.005 | 76.553 | |
| Asia | 17 | 19.6 (10.1–34.7) | 139.213 | 0.000 | 93.535 | |
| Europe | 3 | 14.9 (6.9–29.4) | 223.190 | 0.000 | 95.071 | |
| Oceania | 8 | 2.2 (0.8–5.6) | 0.000 | 1.000 | 0.000 | |
| Sample | FFPE | 15 | 10.6 (51.1–21.0) | 216.691 | 0.000 | 93.539 |
| Frozen | 10 | 20.4 (10.5–35.9) | 134.367 | 0.000 | 93.302 | |
| Method | Array | 2 | 14.5 (9.5–21.4) | 0.287 | 0.592 | 0.000 |
| ISH | 4 | 1.1 (0.3–3.7) | 1.367 | 0.713 | 0.000 | |
| PCR | 18 | 36.7 (33.4–40.1) | 357.885 | 0.000 | 95.250 | |
| Grade | High | 5 | 29.4 (19.0–42.6) | 16.551 | 0.002 | 75.833 |
| Low | 5 | 22.4 (13.1–35.5) | 10.682 | 0.030 | 62.553 | |
| Genotype | HPV18 | 6 | 10.0 (4.9–19.2) | 42.449 | 0.000 | 88.221 |
| HPV16 | 14 | 10.2 (5.4–18.5) | 159.128 | 0.000 | 91.830 | |
| HPV type | High-risk | 16 | 16.2 (9.8–25.5) | 213.652 | 0.000 | 92.979 |
| Low-risk | 5 | 4.8 (2.2–10.2) | 12.515 | 0.014 | 68.039 | |
| Gender | Male | 10 | 19.7 (12.9–28.8) | 58.620 | 0.000 | 84.647 |
| Female | 9 | 15.7 (8.1–28.3) | 21.520 | 0.006 | 62.825 | |
Fig. 3Forest plot of the overall odds ratio for association of HPV and bladder cancer
Overall odd ratio and sub group analysis for case–control studies results
| Characteristics | Categories | No. of data sets | Pooled OR (%) (95% CI) | Heterogeneity |
|---|---|---|---|---|
| I2% | ||||
| Overall | – | 12 | 2.077 (0.940–4.587) | 75.839 |
| Continent | Africa | 1 | 11.512 (0.600–220.996) | 0.000 |
| Asia | 4 | 6.289 (2.167–18.250) | 0.000 | |
| Europe | 7 | 1.125 (0.503–3.113) | 82.292 | |
| Sample | FFPE | 4 | 2.584 (0.447–14.948) | 76.856 |
| Frozen | 6 | 1.559 (0.511–4.756) | 76.355 |
Fig. 4Funnel plot for publication bias assessment