Literature DB >> 31384255

Incidence of penile cancer worldwide: systematic review and meta-analysis.

Carlos Eduardo Montes Cardona1, Herney Andrés García-Perdomo1.   

Abstract

OBJECTIVE: To determine the global incidence of penile cancer.
METHODS: A systematic review and meta-analysis of observational studies was performed, with no limits on their language of publication. Analyses were performed using Stata 13 statistical software. A random-effects model was used, according to the heterogeneity found in the studies. The main outcome was expressed in terms of age-standardized incidence.
RESULTS: A total of 23 studies were eligible, with 71 156 penile cancer patients in 86 countries. According to the review conducted, the estimated age-standardized incidence of penile cancer worldwide is 0.84 cases per 100 000 person-years (95% confidence interval: 0.79-0.89). Romania reported the highest incidence, 7.26 per 100 000 person-years, between 1983 and 1987; however, some countries in Latin America and Africa reported an incidence of between 2.0 and 5.7 per 100 000.
CONCLUSIONS: Penile cancer is considered a rare malignancy due to its already-known, particularly low incidence rate. The estimated age-standardized incidence rate by the world standard population today is 0.84 cases per 100 000 person-years. There were no significant differences in the incidence rate of penile cancer with respect to the distribution by continent or the trend over time.

Entities:  

Keywords:  Penile neoplasms; incidence; observational studies

Year:  2017        PMID: 31384255      PMCID: PMC6645409          DOI: 10.26633/RPSP.2017.117

Source DB:  PubMed          Journal:  Rev Panam Salud Publica        ISSN: 1020-4989


Penile cancer is a rare malignancy, especially in developed countries, in which the annual incidence is below 1 case per 100 000 men. This incidence represents less than 1% of malignancies in this gender; however, in certain Asian, African, and South American countries, the occurrence may represent up to 10% of cases (1). One of the countries with the highest incidence of penile cancer in the world is India, with rates up to 3.32 per 100 000 men in some regions. In contrast, rates among Jewish men born in Israel are reportedly very close to zero (2). Penile cancer typically affects older men, and its incidence rate consistently increases with age (3). The age group most commonly affected by penile cancer is between 50 and 70 years, with a mean age of 67 years in the United States of America (4), although the disease has also been observed in patients under 40 years (3). The vast majority of patients have an apparently localized disease at diagnosis, with high-risk characteristics for nodal involvement but without clinical evidence of such involvement. This suggests that the morbidity and mortality among these patients is underestimated (5). The risk factors associated with a greater likelihood of developing the disease, as well as the factors associated with higher incidence rates, are clearly known (6). Nevertheless, neither the global impact of penile cancer nor the variations according to different geographic areas or the changing trends in different time intervals are precisely known. The objective of this systematic review was to determine the incidence of penile cancer in the global population.

METHODS

We conducted a meta-analysis of observational studies, following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) (7) and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (8, 9). Details of the protocol for this systematic review were registered on PROSPERO and can be accessed at www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42016052212.

Sources and search strategy

We conducted a systematic search in the following electronic databases: Cochrane CENTRAL Register and Cochrane Prostatic Diseases and Urologic Cancers Group, MEDLINE, Embase, and LILACS. We searched for materials published between January 1980 and December 2016. In the searches, we did not place any limits on the language of publication. The MEDLINE search, done via Ovid, was: (exp Penile Neoplasms/or (penil$ adj3 cancer$).mp. or (penil$ adj3 tumor$).mp) and (Exp Morbidity/or exp Mortality/or exp incidence/or Burden.mp) and (exp Epidemiologic Studies/or (cross*sectional$ adj3 stud$).mp or (cohort$ adj3 stud$)). The Embase search was: (‘penis cancer’/exp or (penil* NEXT/3 neoplasm*):ti,ab or (penil* NEXT/3 cancer*):ti,ab or (penil* NEXT/3 tumor*):ti,ab) and (‘morbidity’/exp or ‘mortality’/exp or burden:ti,ab or ‘epidemiology’/exp or ‘incidence’/exp) and (‘cross-sectional study’/exp or ‘cohort analysis’/exp). The LILACS search was: (MH:“Neoplasias del pene”/or TW: “cancer pene$” or TW: “Tumor pene$”) and (MH: “Morbilidad”/or MH: “Mortalidad”/or MH: “incidencia”/and (MH: “Estudios epidemiológicos”/or MH: “Estudio observacional”/or MH: “Estudios de cohortes”)). We also conducted a generic and academic Internet search and a metasearch. A search strategy defined for “gray literature” was included, to gather information from relevant sources, such as national ministries of health, the Pan American Health Organization (PAHO), hospital reports, databases of regional registries, congress proceedings, doctoral dissertations, reference lists of included studies, and consultations with experts and institutions related to the topic. Another search source we used was the International Agency for Research on Cancer (IARC/GLOBOCAN). We also performed a search defined through the cancer population registry tool of Nordic countries, NORDCAN. We used the GLOBOCAN and NORDCAN information only when we did not find data to calculate the incidence in terms of age-standardized rate by world standard population (ASR-W). We included observational studies, such as cohort studies, cases and controls, cross-sectional studies, case series, epidemiological surveillance studies, and official reports from national health ministries and from the World Health Organization (WHO), PAHO, and other specialized organizations. This was done through the various platforms mentioned, again without any restrictions on the language of publication. We included studies regardless of the number of reported cases. Studies that reported the incidence of penile carcinoma in patients of any age, from any place in the world, between January 1980 and December 2016 were included. Studies were included that directly or indirectly reported the changing trend of the incidence rate of penile carcinoma. Studies that did not have documentation on the incidence rate of penile carcinoma and those without confirmation of disease pathology were excluded.

Study selection

We two authors both independently reviewed the titles and abstracts of all citations identified and selected all of the potentially eligible studies. We two also independently evaluated the complete text versions of these articles, to determine whether each study fulfilled the inclusion criteria.

Information extraction and data management

We two authors independently extracted the data using a standard electronic format that we had designed during the planning of the systematic review. The data extracted included name of the first author; year of publication; country; year of study; type of study; size of sample; and sociodemographic and clinical variables, such as age, penile lesion location, histopathological penile cancer type, clinical and pathological cancer staging, and circumcision status. To resolve any disagreements regarding study eligibility, quality, and extracted data, we discussed the issue until we reached a consensus. In the case of unclear and/or incomplete information in the report of one of the studies, we contacted the study authors for clarification and to obtain the missing information.

Assessment of bias risk in the included studies

We two authors both independently reviewed the reporting quality of all the studies, based on the Strengthening the Reporting of Observational studies in Epidemiology (STROBE) checklist (10); the results from the evaluation tools of a systematic review assessing the quality and susceptibility of bias in observational studies (11); and guidelines for evaluating medical research published by Fowkes et al. (12). We modified the STROBE checklist to include 15 relevant evaluation items, taking into account the nature of the potentially eligible studies, given that the checklist was designed for all types of observational studies and not specifically for epidemiological studies. When we two authors disagreed on the issue of checklist-item fulfillment, those differences were resolved by reaching a consensus.

Statistical analysis

We performed the analyses using Stata 13 statistical software (StataCorp, College Station, Texas, United States). A random-effects model was used according to the heterogeneity found in the studies. We expressed incidence in terms of age-standardized rate by world standard population (ASR-W) (13), calculated as follows: number of new cases in a given location in a given age group, gender, and time period, divided by mean estimated population for the same year for that age group and gender, multiplied by 100 000. The result was expressed as the number of new cases per 100 000 person-years. When the source population of each incidence-adjusted rate had not been published, the standardized population published by the WHO for the corresponding year of each study was extracted. A planned analysis of subgroups by continent and time interval was conducted to assess potential differences in the incidence rate in relation to these two factors. A summary report of penile carcinoma cases described in the included studies was generated. No sensitivity analysis was designed for this meta-analysis due to the expected and identified weight for each included study. An evaluation was performed to identify reporting or publication bias, using a funnel plot (14).

Evaluation of heterogeneity

We assessed the heterogeneity among the studies by visual inspection of forest plots to determine whether the confidence intervals overlapped. Subsequently, an I2 test was performed. The I2 statistic describes the percentages of variability of effect estimates that are due to heterogeneity rather than sampling error (9). Values of 25%, 50%, and 75% in the I2 test correspond to low, medium, and high levels of heterogeneity, respectively.

Subgroup analysis

We performed subgroup analysis according to geographical location, by continent. Additionally, we carried out a subgroup analysis by time intervals for studies reporting incidence rates before 1990, from 1990 to 1999, and after 1999.

RESULTS

The study selection process is shown in Figure 1. The literature search strategy yielded 1 001 potentially eligible articles, including 621 MEDLINE articles (through Ovid), 329 Embase articles, and 51 LILACS articles. In addition, 18 related, potentially eligible epidemiological articles and reports were identified through the manual search and from references in the included articles. Out of this total number, 41 articles and reports were included for detailed assessment. Subsequently, 18 full-text articles (3, 15–31) as well as 5 reports from the International Agency for Research on Cancer (IARC) (32–36) fulfilled the inclusion criteria and were included in the meta-analysis. From these sources, the records of 71 156 cases of patients diagnosed with penile cancer, from a total of 86 countries, were collected.
FIGURE 1.

Flow chart of process for selecting studies used in determining the incidence of penile cancer in the global population

By definition, all the included studies were observational and descriptive, as they were population studies of incidence. Therefore, the main characteristics shown for each of the included articles are: author, publication date, period covered, country, and continent. Although the proportion of original articles was greater, most of the records obtained came from 5 of the 10 volumes of the Cancer Incidence in Five Continents (CI5) series that the IARC has produced (Table 1). (IARC has also published a database compilation of the main CI5 volumes called CI5plus, and it was taken into account for this study, as can be seen in Table 1.)
TABLE 1.

Characteristics of included studies

Author

Publication Date

Period covered

Country

Continent

Wabinga

2000

1967–1971

Uganda

Africa

Wabinga

2000

1991–1994

Uganda

Africa

Wabinga

2000

1995–1997

Uganda

Africa

Wabinga

2000

1960–1966

Uganda

Africa

Goodman

2007

1995–2003

USA

North America

Hernandez

2008

1998–2003

USA

North America

Jin

1999

1972–1974

Shanghai (China)

Asia

Van der Zwan

2013

2004–2008

Netherlands

Europe

Colon-Lopez

2012

1992–2004

Puerto Rico (USA)

Latin America

Goncalves da Fonseca

2010

1996–2006

Brazil

Latin America

Navarro M

2004

2002–2003

Chile

Latin America

Paredes C

1989

1982–1986

Dominican Republic

Latin America

Manit

2013

1979–2009

England

Europe

Constance J

2013

1978–2010

Denmark

Europe

Olsen J

2012

2004–2007

Denmark

Europe

Robinson D

2009

1960–2004

England

Europe

Kirrander P

2015

2000–2012

Sweden

Europe

Jan M

2015

2004–2008

Netherlands

Europe

Graafland

2010

1989–2006

Netherlands

Europe

Bray F

2012

1964–2003

Nordic countries

Europe

Vatanasapt

1995

1990

Thailand

Asia

Vatanasapt

1995

1983–1987

Singapore

Asia

Barnholtz-Sloan

2007

1973–2002

USA

North America

Jin

1999

1993–1994

Shanghai (China)

Asia

CI5plus database

2014

1980–1989

Australia

Oceania

CI5plus database

2014

1990–1999

Australia

Oceania

CI5plus database

2014

2000–2007

Australia

Oceania

CI5plus database

2014

1988–1989

Austria

Europe

CI5plus database

2014

1990–1999

Austria

Europe

CI5plus database

2014

2000–2007

Austria

Europe

CI5plus database

2014

1988–1989

Croatia

Europe

CI5plus database

2014

1990–1999

Croatia

Europe

CI5plus database

2014

2000–2007

Croatia

Europe

CI5plus database

2014

1980–1989

Denmark

Europe

CI5plus database

2014

1990–1999

Denmark

Europe

CI5plus database

2014

2000–2007

Denmark

Europe

CI5plus database

2014

1980–1989

Estonia

Europe

CI5plus database

2014

1990–1999

Estonia

Europe

CI5plus database

2014

2000–2007

Estonia

Europe

CI5plus database

2014

1980–1989

France

Europe

CI5plus database

2014

1990–1999

France

Europe

CI5plus database

2014

2000–2007

France

Europe

CI5plus database

2014

1980–1989

Iceland

Europe

CI5plus database

2014

1990–1999

Iceland

Europe

CI5plus database

2014

2000–2007

Iceland

Europe

CI5plus database

2014

1983–1987

Romania

Europe

CI5plus database

2014

1980–1989

Italy

Europe

CI5plus database

2014

1990–1999

Italy

Europe

CI5plus database

2014

2000–2007

Italy

Europe

CI5plus database

2014

1980–1989

Netherlands

Europe

CI5plus database

2014

1990–1999

Netherlands

Europe

CI5plus database

2014

2000–2007

Netherlands

Europe

CI5plus database

2014

1980–1989

Poland

Europe

CI5plus database

2014

1990–1999

Poland

Europe

CI5plus database

2014

2000–2006

Poland

Europe

CI5plus database

2014

1994–1999

Rusia

Europe

CI5plus database

2014

2000–2007

Rusia

Europe

CI5plus database

2014

1980–1989

Slovakia

Europe

CI5plus database

2014

1990–1999

Slovakia

Europe

CI5plus database

2014

2000–2007

Slovakia

Europe

CI5plus database

2014

1980–1989

Switzerland

Europe

CI5plus database

2014

1990–1999

Switzerland

Europe

CI5plus database

2014

2000–2007

Switzerland

Europe

CI5plus database

2014

1980–1989

Scotland

Europe

CI5plus database

2014

1990–1999

Scotland

Europe

CI5plus database

2014

2000–2007

Scotland

Europe

CI5plus database

2014

1980–1989

England

Europe

CI5plus database

2014

1990–1999

England

Europe

CI5plus database

2014

2000–2007

England

Europe

CI5plus database

2014

1993–1999

Ireland

Europe

CI5plus database

2014

2000–2007

Ireland

Europe

CI5plus database

2014

1980–1989

Spain

Europe

CI5plus database

2014

1990–1999

Spain

Europe

CI5plus database

2014

2000–2007

Spain

Europe

CI5plus database

2014

1980–1989

Brazil

Latin America

CI5plus database

2014

1990–1999

Brazil

Latin America

CI5plus database

2014

2000–2007

Brazil

Latin America

CI5plus database

2014

1985–1989

Ecuador

Latin America

CI5plus database

2014

1990–1999

Ecuador

Latin America

CI5plus database

2014

2000–2007

Ecuador

Latin America

CI5plus database

2014

1983–1989

Colombia

Latin America

CI5plus database

2014

1990–1999

Colombia

Latin America

CI5plus database

2014

2000–2007

Colombia

Latin America

CI5plus database

2014

1980–1989

Costa Rica

Latin America

CI5plus database

2014

1990–1999

Costa Rica

Latin America

CI5plus database

2014

2000–2007

Costa Rica

Latin America

CI5plus database

2014

1980–1989

Canada

North America

CI5plus database

2014

1990–1999

Canada

North America

CI5plus database

2014

2000–2007

Canada

North America

CI5plus database

2014

1980–1989

USA

North America

CI5plus database

2014

1990–1999

USA

North America

CI5plus database

2014

2000–2007

USA

North America

CI5plus database

2014

1980–1989

Hawaii (USA)

North America

CI5plus database

2014

1990–1999

Hawaii (USA)

North America

CI5plus database

2014

2000–2007

Hawaii (USA)

North America

CI5plus database

2014

1993–1999

Uganda

Africa

CI5plus database

2014

2000–2007

Uganda

Africa

CI5plus database

2014

1983–1989

Philippines

Asia

CI5plus database

2014

1990–1999

Philippines

Asia

CI5plus database

2014

2000–2007

Philippines

Asia

CI5plus database

2014

1980–1989

India

Asia

CI5plus database

2014

1990–1999

India

Asia

CI5plus database

2014

2000–2007

India

Asia

CI5plus database

2014

1980–1989

Israel

Asia

CI5plus database

2014

1990–1999

Israel

Asia

CI5plus database

2014

2000–2007

Israel

Asia

CI5plus database

2014

1980–1989

Japan

Asia

CI5plus database

2014

1990–1999

Japan

Asia

CI5plus database

2014

2000–2007

Japan

Asia

CI5plus database

2014

1980–1989

Singapore

Asia

CI5plus database

2014

1990–1999

Singapore

Asia

CI5plus database

2014

2000–2007

Singapore

Asia

CI5plus database

2014

1980–1989

Thailand

Asia

CI5plus database

2014

1990–1999

Thailand

Asia

CI5plus database

2014

2000–2007

Thailand

Asia

Prepared by the authors from the study data.

Author Publication Date Period covered Country Continent Wabinga 2000 1967–1971 Uganda Africa Wabinga 2000 1991–1994 Uganda Africa Wabinga 2000 1995–1997 Uganda Africa Wabinga 2000 1960–1966 Uganda Africa Goodman 2007 1995–2003 USA North America Hernandez 2008 1998–2003 USA North America Jin 1999 1972–1974 Shanghai (China) Asia Van der Zwan 2013 2004–2008 Netherlands Europe Colon-Lopez 2012 1992–2004 Puerto Rico (USA) Latin America Goncalves da Fonseca 2010 1996–2006 Brazil Latin America Navarro M 2004 2002–2003 Chile Latin America Paredes C 1989 1982–1986 Dominican Republic Latin America Manit 2013 1979–2009 England Europe Constance J 2013 1978–2010 Denmark Europe Olsen J 2012 2004–2007 Denmark Europe Robinson D 2009 1960–2004 England Europe Kirrander P 2015 2000–2012 Sweden Europe Jan M 2015 2004–2008 Netherlands Europe Graafland 2010 1989–2006 Netherlands Europe Bray F 2012 1964–2003 Nordic countries Europe Vatanasapt 1995 1990 Thailand Asia Vatanasapt 1995 1983–1987 Singapore Asia Barnholtz-Sloan 2007 1973–2002 USA North America Jin 1999 1993–1994 Shanghai (China) Asia CI5plus database 2014 1980–1989 Australia Oceania CI5plus database 2014 1990–1999 Australia Oceania CI5plus database 2014 2000–2007 Australia Oceania CI5plus database 2014 1988–1989 Austria Europe CI5plus database 2014 1990–1999 Austria Europe CI5plus database 2014 2000–2007 Austria Europe CI5plus database 2014 1988–1989 Croatia Europe CI5plus database 2014 1990–1999 Croatia Europe CI5plus database 2014 2000–2007 Croatia Europe CI5plus database 2014 1980–1989 Denmark Europe CI5plus database 2014 1990–1999 Denmark Europe CI5plus database 2014 2000–2007 Denmark Europe CI5plus database 2014 1980–1989 Estonia Europe CI5plus database 2014 1990–1999 Estonia Europe CI5plus database 2014 2000–2007 Estonia Europe CI5plus database 2014 1980–1989 France Europe CI5plus database 2014 1990–1999 France Europe CI5plus database 2014 2000–2007 France Europe CI5plus database 2014 1980–1989 Iceland Europe CI5plus database 2014 1990–1999 Iceland Europe CI5plus database 2014 2000–2007 Iceland Europe CI5plus database 2014 1983–1987 Romania Europe CI5plus database 2014 1980–1989 Italy Europe CI5plus database 2014 1990–1999 Italy Europe CI5plus database 2014 2000–2007 Italy Europe CI5plus database 2014 1980–1989 Netherlands Europe CI5plus database 2014 1990–1999 Netherlands Europe CI5plus database 2014 2000–2007 Netherlands Europe CI5plus database 2014 1980–1989 Poland Europe CI5plus database 2014 1990–1999 Poland Europe CI5plus database 2014 2000–2006 Poland Europe CI5plus database 2014 1994–1999 Rusia Europe CI5plus database 2014 2000–2007 Rusia Europe CI5plus database 2014 1980–1989 Slovakia Europe CI5plus database 2014 1990–1999 Slovakia Europe CI5plus database 2014 2000–2007 Slovakia Europe CI5plus database 2014 1980–1989 Switzerland Europe CI5plus database 2014 1990–1999 Switzerland Europe CI5plus database 2014 2000–2007 Switzerland Europe CI5plus database 2014 1980–1989 Scotland Europe CI5plus database 2014 1990–1999 Scotland Europe CI5plus database 2014 2000–2007 Scotland Europe CI5plus database 2014 1980–1989 England Europe CI5plus database 2014 1990–1999 England Europe CI5plus database 2014 2000–2007 England Europe CI5plus database 2014 1993–1999 Ireland Europe CI5plus database 2014 2000–2007 Ireland Europe CI5plus database 2014 1980–1989 Spain Europe CI5plus database 2014 1990–1999 Spain Europe CI5plus database 2014 2000–2007 Spain Europe CI5plus database 2014 1980–1989 Brazil Latin America CI5plus database 2014 1990–1999 Brazil Latin America CI5plus database 2014 2000–2007 Brazil Latin America CI5plus database 2014 1985–1989 Ecuador Latin America CI5plus database 2014 1990–1999 Ecuador Latin America CI5plus database 2014 2000–2007 Ecuador Latin America CI5plus database 2014 1983–1989 Colombia Latin America CI5plus database 2014 1990–1999 Colombia Latin America CI5plus database 2014 2000–2007 Colombia Latin America CI5plus database 2014 1980–1989 Costa Rica Latin America CI5plus database 2014 1990–1999 Costa Rica Latin America CI5plus database 2014 2000–2007 Costa Rica Latin America CI5plus database 2014 1980–1989 Canada North America CI5plus database 2014 1990–1999 Canada North America CI5plus database 2014 2000–2007 Canada North America CI5plus database 2014 1980–1989 USA North America CI5plus database 2014 1990–1999 USA North America CI5plus database 2014 2000–2007 USA North America CI5plus database 2014 1980–1989 Hawaii (USA) North America CI5plus database 2014 1990–1999 Hawaii (USA) North America CI5plus database 2014 2000–2007 Hawaii (USA) North America CI5plus database 2014 1993–1999 Uganda Africa CI5plus database 2014 2000–2007 Uganda Africa CI5plus database 2014 1983–1989 Philippines Asia CI5plus database 2014 1990–1999 Philippines Asia CI5plus database 2014 2000–2007 Philippines Asia CI5plus database 2014 1980–1989 India Asia CI5plus database 2014 1990–1999 India Asia CI5plus database 2014 2000–2007 India Asia CI5plus database 2014 1980–1989 Israel Asia CI5plus database 2014 1990–1999 Israel Asia CI5plus database 2014 2000–2007 Israel Asia CI5plus database 2014 1980–1989 Japan Asia CI5plus database 2014 1990–1999 Japan Asia CI5plus database 2014 2000–2007 Japan Asia CI5plus database 2014 1980–1989 Singapore Asia CI5plus database 2014 1990–1999 Singapore Asia CI5plus database 2014 2000–2007 Singapore Asia CI5plus database 2014 1980–1989 Thailand Asia CI5plus database 2014 1990–1999 Thailand Asia CI5plus database 2014 2000–2007 Thailand Asia Prepared by the authors from the study data. Most of the studies excluded during selection did not report the incidence rate for penile cancer or the data necessary for its calculation, as they were often formatted as narrative reviews of some characteristics of the disease.

Reporting quality assessment

In general, according to the modified STROBE checklist that we used, the reporting quality of the original articles (not applied to the CI5 reports) was moderate, with an average of 11 of 15 (77%) items approved (i.e., relevant evaluation items fulfilled). There was no correlation between score and publication date. The numbers of approved/unapproved items of the STROBE reporting quality assessment are shown in Table 2.
TABLE 2.

Risk of bias assessment

STROBE REPORTING QUALITY

1a

1b

2

3

4

5

6

7

8

11

12a

14a

15

18

19

NAVARRO M 2004

 

 

 

 

PAREDES C 1989

 

 

 

 

 

 

 

 

 

 

 

 

 

MANIT 2013

 

OLSEN J 2012

 

 

 

 

CONSTANCE J 2013

 

 

ROBINSON D 2009

 

 

 

KIRRANDER P 2015

 

JAN M 2015

 

GRAAFLAND 2010

 

 

BRAY F 2012

 

 

 

 

 

 

VATANASAPT 1995

 

 

 

 

 

COLON-LOPEZ 2012

 

GONZALVES A 2010

 

 

 

 

WABINGA HR 2000

 

 

 

 

 

 

BARNHOLTZ-SLOAN 2007

 

HERNANDEZ 2008

JIN 1999

 

 

 

 

 

 

 

GOODMAN 2007

 

 

Prepared by the authors from the study data.

STROBE REPORTING QUALITY 1a 1b 2 3 4 5 6 7 8 11 12a 14a 15 18 19 NAVARRO M 2004 PAREDES C 1989 MANIT 2013 OLSEN J 2012 CONSTANCE J 2013 ROBINSON D 2009 KIRRANDER P 2015 JAN M 2015 GRAAFLAND 2010 BRAY F 2012 VATANASAPT 1995 COLON-LOPEZ 2012 GONZALVES A 2010 WABINGA HR 2000 BARNHOLTZ-SLOAN 2007 HERNANDEZ 2008 JIN 1999 GOODMAN 2007 Prepared by the authors from the study data.

Results from individual studies

According to our review, the estimated incidence of the ASR of penile cancer worldwide is 0.84 cases per 100 000 person-years (95% confidence interval (CI): 0.79–0.89). The range was from 0.0 to > 2.0 cases per 100 000 person-years. The lower end of that range was more often seen in most of the Asian and non-sub-Saharan African countries. The highest incidence rate of penile cancer was reported in Romania between 1983 and 1987, with 7.26 cases per 100 000 person-years (Figure 2).
FIGURE 2.

Countries with the highest incidence of penile cancer (age-standardized rate, cases per 100 000 person-years)

Among the 15 countries with the highest incidence of penile cancer, 3 of them were in Africa: Uganda, with an incidence of 6.3 cases per 100 000 person-years in the 1967–1971 period, followed by Malawi and Zimbabwe, with 3.25 and 2.41, respectively (Figure 2). Also among the 15 were 6 countries and territories from Latin America. Among those 6, Brazil reported the highest incidence (5.7 cases per 100 000 person-years), followed by Paraguay, Puerto Rico, and Chile. Also among the 15 were 3 Asian countries: Thailand, Vietnam, and India. In the subgroup analysis of the five continents (six geographical zones, with the separation of the Americas into Latin America and North America), the results were: Europe, 0.90 cases per 100 000 person-years; Asia (which included Israel), 0.44 cases per 100 000 person-years; Africa, 0.99 cases per 100 000 person-years; Oceania, 0.42 cases per 100 000 person-years; Latin America, 1.40 cases per 100 000 person-years; and North America, 0.91 cases per 100 000 person-years (Figure 3). There were no significant differences in penile cancer incidence grouped by continent or period.
FIGURE 3.

Incidence of penile cancer by geographic area, in terms of number of cases per 100 000 person-years, with 95% confidence interval

In the analysis conducted according to the year or the registration period of the incidence rate (for the studies that could be assigned to one of the periods), we found an ASR of 0.70 cases per 100 000 person-years (95% CI: 0.59–0.80) from 1980 to 1989, 0.94 cases per 100 000 person-years (95% CI: 0.84–1.04) from 1990 to 1999, and 0.89 cases per 100 000 person-years (95% CI: 0.80–0.99) from 2000 to 2009. There were no significant differences among the three periods. The period registered differed widely among the countries, ranging from 1 to 39 years, and from 1964 to 2012. The Nordic countries reported the longest period (1964–2003), followed by England and the United States. In terms of the number of cases, England reported the highest number, 11 478 (in a 30-year period), followed by United States (8 058 cases in 34 years), and the Nordic countries (6 272 cases in 39 years). Figure 4 presents the number of cases reported during a determined period for the 15 countries with the highest incidence of penile cancer.
FIGURE 4.

Number of cases of penile cancer reported for the countries with the highest incidence, for the indicated time periods

DISCUSSION

In our systematic review and meta-analysis, we found disparities and wide variations in terms of the incidence of penile cancer in each country over the past decades, with extreme values ranging from 0 up to 7.26 cases per 100 000 person-years. Considering that penile cancer has been classified as one of the so-called “rare malignancies” (mean incidence rates of less than 6 cases per 100 000 person-years), finding records of incidence rates much higher than previously documented is particularly striking (37, 38). However, our results are consistent with other reports of incidence rates close to 0, specifically in the Israeli-born Jewish population and in other Asian and African countries in which circumcision is a common procedure linked to religious practices. It is known that there is near to a 70% reduced risk of developing penile cancer throughout life in the circumcised population, especially when that procedure is performed close to birth (39). The circumcision effect could explain the incidence rates close to 0 found in these populations. In contrast, never had such high rates been reported in countries such as Romania and other European nations, which prompts us to explore the nature of this isolated finding. The other locations with a noticeably high incidence of penile cancer are countries or territories whose information was documented in previous publications, with Uganda, Brazil, Puerto Rico, and Thailand leading the list (3, 4, 21, 31, 40). Although the global incidence of penile cancer is considerably lower than in those high-rate countries, that worldwide incidence estimate is a result of the dilution effect of the large population considered. It is important to determine the cultural trends and lifestyles of each of the regions in order to establish the risk and protective factors that might explain the wide-ranging results reported in our study. In terms of limitations with our review, it is possible that underreporting in developing countries is one of the more important ones. Another pronounced limitation could be that we completed information with the GLOBOCAN and NORDCAN registries when studies did not have adequate information to perform the analysis. However, it is important to note that the data coming from these registries are substantial, are collected in a standardized and trusted way, and contain precise information to use in calculating adjusted incidence rates. Another limitation of this study was the impossibility of breaking down the results in such a way that we could calculate the accumulated risk and incidence per specific age group, the individual yearly results to represent the incidence trend accurately, and the average annual percentage change. However, it is clear that the incidence of penile cancer has remained stable over time, with no significant changes, according to our analysis of the three time periods. A high-quality cancer population registry is a very important tool for all countries. However, this feature was absent in most of the reports we evaluated, due to the lack of consistent and steady reporting over time, which may limit the analysis in our systematic review and meta-analysis. Nevertheless, there are notable examples of high-quality registries, in countries such as England, the United States, and the Nordic nations. These three had the longest reporting periods and the highest number of cases, despite their relatively low disease incidence rates. Some reports made by independent researchers lack a reference population, and most of these investigators express incidence in terms of percentages or frequency, which limits overall estimates of penile cancer incidence. For example, Brazil and Paraguay reported 4.2 cases per 100 000 person-years in the late 1980s (41), but there were no further registries in the 1990s or 2000s that could help demonstrate a stable penile cancer incidence in these two countries. This report is the first systematic review and meta-analysis in which the global incidence of penile cancer has been summarized. The report’s importance mainly lies in evaluating aspects of the geographic distribution and the dynamic behavior of penile cancer incidence over time. While being aware of the limitations in our study, we must still encourage surveillance systems around the world to collect and adequately report the incidence of penile cancer. In that work, there must be less information and selection bias, in order to seek and find public health interventions that could help prevent this catastrophic disease. Further studies are needed to establish relationships between potential risk factors and the incidence rates found in this review. Additional research is also needed on the interrelationship among other significant epidemiological features, such as associated mortality, the impact of treatment, and factors that may influence access to treatment.

Conclusions

Penile cancer is considered a rare malignancy due to its already-known, particularly low incidence rate. The age-standardized incidence rate by the world standard population today is 0.84 cases per 100 000 person-years. This rate is a synthesis of values that are influenced by the socioeconomic and cultural factors of different geographic areas, including religious practices. This is particularly true with circumcision, which is more common in many Asian and African countries. There were no significant differences in penile cancer incidence grouped by continent or period. It’s important to conduct further studies and improve penile cancer reporting in order to determine the factors that may influence differences in the incidence of penile cancer among countries around the world.

Disclaimer.

Authors hold sole responsibility for the views expressed in the manuscript, which may not necessarily reflect the opinion or policy of the RPSP/PAJPH or PAHO.
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