- Research article
- Open Access
Estimating canine cancer incidence: findings from a population-based tumour registry in northwestern Italy
© The Author(s). 2017
Received: 11 January 2017
Accepted: 21 June 2017
Published: 28 June 2017
Canine cancer registry data can be put to good use in epidemiological studies. Quantitative comparison of tumour types may reveal unusual cancer frequencies, providing directions for research and generation of hypotheses of cancer causation in a specific area, and suggest leads for identifying risk factors. Here we report canine cancer incidence rates calculated from a population-based registry in an area without any known specific environmental hazard.
In its 90 months of operation from 2001 to 2008 (the observation period in this study), the population-based Piedmont Canine Cancer Registry collected data on 1175 tumours confirmed by histopathological diagnosis. The incidence rate was 804 per 100,000 dog-years for malignant tumours and 897 per 100,000 dog-years for benign tumours. Higher rates for all cancers were observed in purebred dogs, particularly in Yorkshire terrier and Boxer. The most prevalent malignant neoplasms were cutaneous mastocytoma and hemangiopericytoma, and mammary gland complex carcinoma and simplex carcinoma.
The Piedmont canine cancer registry is one of few of its kind whose operations have been consistently supported by long-term public funding. The registry-based cancer incidence rates were estimated with particular attention to the validity of data collection, thus minimizing the potential for bias. The findings on cancer incidence rates may provide a reliable reference for comparison studies. Researches conducted on dogs, used as sentinels for community exposure to environmental carcinogens, can be useful to detect excess risks in the incidence of malignant tumours in the human population.
Canine cancer registry data can be put to good use in epidemiological studies. Quantitative comparison of tumour types may reveal unusual cancer frequencies, providing direction for research and generation of hypotheses of cancer causation in a specific area, and suggest leads for identifying risk factors.
The pivotal role of the sentinel animal some species play at a low level in the trophic chain, e.g., to show the effect of endocrine disruptors,  could also be assumed by dogs. The existence of a tumour registry in this species can pinpoint variations in cancer incidence in target organs. One task of such registries is to determine whether potential correlations exist between an increase or decrease in cancer incidence and environmental hazards. In a study conducted 25 years ago on companion animals as a sentinel for environmentally related human diseases, a correlation was found whereby changes in the canine proportionate incidence ratios preceded human incidence rates by 2 years, suggesting that fluctuations in proportionate incidence ratios of tumours in dogs may be useful for predicting changes in cancer patterns in humans . Because these variations can only be discerned when the size of an observed population is known, and knowledge of the animal population size of a specific area is required for estimating the incidence of zoonotic diseases , veterinary epidemiologists face numerous hurdles to arriving at a correct estimate of an animal population at risk.
To get around this problem, some registries have obtained the denominator from pet insurance company databases [4, 5], but with the risk of having an incomplete denominator and introducing a systematic error. Insured dogs likely represent a selected subset of the real composition of an area’s dog population. . Recognizing this limitation, veterinary studies have underscored the importance of selecting a delimited geographic area as referential for case collection when establishing animal population-based tumour registries. After an area has been selected, a distinction is made between cases belonging to the area and those not belonging to it. Cases belonging to the area but diagnosed outside of it then need to be identified and retrieved, and cases of animals living outside of it need to be excluded. It is acknowledged that the owners of dogs with cancer will often use veterinary services whereby cases are detected and reported, ultimately restricting the denominator to dogs receiving veterinary care.
The first population-based canine tumour registry was set up by the California State Department of Public Health to estimate the cancer incidence in dogs and cats resident in two counties in California, and to measure the effects of age, sex and breed on cancer development . Over a 3-year period, malignant neoplasm cases in dogs and cats were reported to the registry through the collaboration of county veterinarians. The cases were categorized by their primary tumour site according to the International Classification of Diseases, Revision 7 (ICD-7). The estimated annual incidence rates for malignant cancers of all anatomic sites were 381.2/100,000 dogs and 155.8/100,000 cats.
Ten years later, MacVean et al.  investigated the denominator for the cancer incidence rate for dogs seen by veterinarians in one year in two counties. Histopathological diagnosis was offered free to the practitioners participating in the registry. The annual incidence rate for malignant neoplasms was 507/100,000 dogs, or double that of the Californian registry. Other European studies, using as denominator the cynological organization databases, reported incidence rates for some specific breeds [9–11].
The results of two cancer registration projects in Italy have recently been published. The Animal Tumour Registry of Genoa estimated an incidence rate for malignant cancers of 185.7/100,000 dogs . The Animal Tumour Registry of Venice and Vicenza counties was set up in 2005 and provides free histopathological testing to veterinary practices in its catchment area. The estimated incidence rate for malignant neoplasms was 142.8/100,000 dogs .
Here we report canine cancer incidence data collected between 2001 and 2008 for a small, well-delimited geographical area in northwestern Italy. As the data were obtained from a population-based registry, the Piedmont Canine Cancer Registry, for an area without any known specific environmental hazard, they may be considered a reliable estimate of reference incidence rates and so may serve as comparison data for other registries.
The catchment area was selected according to the following criteria: 1) a population of less than 20,000 dog units with an annually expected number of suspected cases bearable by the histopathological laboratory (the bearable burden of diagnostic testing was calculated using as “expected incidence” the figures reported in Dorn et al.  in their population-based registry in California); 2) both urban and rural environments to allow internal comparisons within the dataset; 3) a geographically well-delimited area.
Surveys were carried out to estimate the real size of the dog population, removing the deceased subjects and including the unregistered dogs within the local canine identification and registration systems.
A capture-recapture (CR) method (Lincoln Petersen)  - normally used in ecology - was adopted and applied to the canine population of the catchment area. The CR method has been already applied to define the reference animal population in cancer registries  and is routinely used in epidemiological studies. The first stage of the method is the capture of a number of individuals (M), marked, and subsequently released within the general population.
In a second stage, a new random sample (n) is captured, out of which (m) is found to be already marked. If the marked subjects perfectly merge with the unmarked animals, the proportion of the marked individuals within the unknown overall population N and within the second sample n remains constant: m / n = M / N.
In this study, the first ‘capture’ is represented by the data from the regional canine identification and registration system, corrected after excluding the deceased subjects. This preliminary correction was carried out on the basis of a pilot telephone survey of the dog owners. The sample size of the survey (n = 545) was calculated on the basis of an expected prevalence rate of 15% of deceased dogs, an error of 3%, a 95% confidence interval (CI), and an expected response rate of 80%. The sample was stratified according to the number of dogs registered per municipality. The second random sample (recapture) was obtained by means of an anonymous questionnaire survey to estimate the proportion of unregistered dogs and, therefore, the overall population; the sample size was calculated using the same parameters (expected prevalence 15%, accepted error 3%, 95% CI). Moreover, the second survey was also used to estimate the structure of the canine population by age, sex, and breed and to estimate the proportion of owned dogs receiving veterinary care. The latter data were needed to estimate the proportion of the dog population that was actually seen in veterinary practices and could provide the incident cases to the laboratory. In urban areas the questionnaires were distributed in public offices (exam reservation centres), whereas in rural areas through the collaboration of the post office services which served also as questionnaire collection sites: 2000 hard copies of the questionnaire were printed out and distributed.
Finally, a dog population census based on 28,068 questionnaires sent to each household and covering most (44 out of 46) of the involved municipalities was conducted in 2005, four years after the start of the registration, by the local official veterinary service and used to validate and update the capture-recapture estimates.
A parallel public awareness campaign was launched through announcements in local print and media channels to inform dog owners about the canine tumour registry and its services. The tumour samples collected by biopsy, post-mortem or surgical removal were sent to the two diagnostic laboratories participating in the project and analysed free of charge. In addition, a dissection room was set up by the official veterinary service of the area for post-mortem examination and cancer detection if the owner decided to have the dog euthanised.
All veterinary practices were provided with a standardised case report form specifically designed for the collection of canine cancer cases. Because very few dogs had a subcutaneous microchip carrying their identification number, the animal’s name, breed, date of birth, sex, and the owner’s surname and address of the place of residence were recorded to identify each animal. Where the breed was not clearly indicated or two breeds were reported as indication of a mixed breed, this was included in the category “crossbreed”. Tumour data included anatomic site, lesion size, date of excision, and any related historical and clinical information (e.g., ovariohysterectomy or castration status). The participating practitioners were also provided with a form to report cases in which cancer diagnosis had been obtained from laboratories other than the two project laboratories.
Formalin-fixed samples were routinely processed, paraffin-embedded and stained with haematoxylin and eosin for histological examination. Immunohistochemical analysis was performed to characterise poorly differentiated neoplasms. Tumours were classified and coded according to the Classification of tumours of domestic animals, World Health Organization Tumor Fascicles and the International Classification of Diseases for Oncology, 3rd edition (ICD-0) [15–17].
Based on the histopathological diagnosis, each type of neoplasm of a multiple primary tumours was classified as a separate cancer and added to the numerator
Cancer incidence calculation
A database (Microsoft Access) was created for collecting all cancer cases: information about sex, age, place of residence, veterinarian, number of tumours in the same dog, tumour classification, and tumour behaviour were entered into the database.
Incidence rates were calculated for histologically assessed malignant and benign tumours. In particular, specific rates by age, breed and sex were estimated with 95% confidence intervals. The incidence rates were expressed as the number of cases per 100,000 dog-years. A rate ratio was calculated to compare two subsequent registration period and its 95% confidence level was calculated to detect an eventual statistical significant difference (i.e. in case the 95% confidence interval would not include a value of 1). Statistical data analysis was performed using STATA software SE 11 (Stata Corp., College Station, TX, USA).
Dog population size and structure
When the registration activity started in 2001, the reference canine population was estimated through a capture-recapture approach that yielded an overall population of 10,095 dogs (95% confidence interval (CI) 9705–10,485). As the first capture was based on dogs registered with the local identification and registration systems, 590 telephone interviews with dog owners were conducted (87% response rate) to preliminarily estimate the proportion of deceased dogs still registered. About half (55%) of the registered dogs had already died; therefore, the number of dogs registered and still alive (first capture) was estimated to be 8005. The second capture was obtained through an anonymous questionnaire survey (31.35% response rate) that yielded the identification of 627 dogs, 497 of which (79.3%) were recaptured as already registered with the canine registry office (95% CI 75.8–82.3). A 2005 midterm census of the municipalities in the catchment area (44 out of 46) confirmed the previous population estimates: the canine population was 9987 dogs as compared to the 9097 dogs estimated in the same 44 municipalities with the capture-recapture method (with a potential underestimation of 9.6%). Owing to the incompleteness of the census data (one of the two municipalities excluded was the largest town in the area), only the capture-recapture estimates were used as denominators for computing the incidence rates.
Numerators and incidence rates
Crude incidence rates
Number of cases
Overall, the higher cancer incidence rates in the female dogs were largely due to the high number of mammary tumours.
Number of cases
English cocker spaniel
German shepherd dog
The most commonly affected organs were the mammary gland (n = 585), skin (n = 229), and ovaries (n = 40) in the female dogs and the skin (n = 242), testicles (n = 112), and spleen in the male dogs.
Tumour site and histological type
Number of cases
Carcinoma In Situ
Sertoli Cell Tumour
Here we present the findings obtained from a canine population-based cancer registry that we conducted in northwestern Italy for a 90-month period from 2001 to 2008. The Piedmont canine cancer registry is one of few of its kind whose operations have been consistently supported by long-term public funding. The incidence rate of malignant and benign tumours was about 800 and 900 cases per 100,000 dog-years at risk, respectively, with the largest impact on females and purebred dogs. The highest incidence rates by sex and tumour site were observed for mammary and cutaneous tissues in females and cutaneous tissues and testicles in males. These results were obtained by paying particular attention to the validity of the data collection process, thus minimizing the potential for bias.
Given the constraints derived from working with a canine population, considerable effort was expended to estimate the relevant denominators in terms of population size and structure. Moreover, we were able to obtain detailed reports of cases of incidental tumours by selecting a small-medium size catchment area and through public awareness campaigns coupled with enhanced participation of veterinary practices offered scientific support and histological examinations free of charge.
Though our study may have limitations, they do not necessarily compromise its internal or external validity. By mobilizing the available human and economic resources and restricting the cancer registration to a relatively small area (canine population of about 10,000 units), we were able to maintain the activities for a 90-month period, with a total of about 70,000 dog-years at risk which were then used as the overall denominator. The resulting overall incidence rates were found to be stable; however, less precise estimates could also have been obtained by looking at subgroups (e.g., municipality, breed, age class). For this reason, we carried out few subgroups analyses within our dataset.
As mentioned, there remains the potential for some residual bias in the quantification of the denominators and the numerators. Selection bias is less likely to be a problem with population-based registries than, for example, hospital-based registries [18, 19] or canine registries using databases from pet insurance companies where cross-breed dogs or aged dogs are apt to be underrepresented [6, 20].
With regard to the capture-recapture strategy that was applied to estimate the unknown canine population size, some of the assumptions this approach  requires may not have been fully met, e.g., working on a closed population and using random samples (assumptions that are unlikely to be met in a field situation); however, there are no evident reasons that preclude that the recruited dogs were equally likely to be captured in each of the two samples. The midterm census of 44 of the 46 municipalities in the catchment area indicated no large deviation from the direct enumeration of the existent dogs.
Additionally the population structure by breed- or age-strata may not be as precise as the population size. The structure was obtained from our second capture (the anonymous questionnaire survey) only. Unfortunately, the data on the first capture (i.e., the canine identification and registration system) and the midterm census were available only in hard copy format, precluding any practical way to further analyse the data. Therefore, the incidence rates are likely to be more robust when the denominator was the entire population (e.g., crude malignant rate or site-specific rates) rather than when the denominators referred to individual breeds or age classes.
Finally, with regard to the cases of incidental tumours, a certain degree of underdetection may have occurred. In particular, a proportion of tumours may have gone undiagnosed (e.g., a deep organ tumour), or not reported as not requiring histological confirmation (e.g., osteosarcoma, lymphoma) or may have been diagnosed by laboratories other than ours and not reported by the collaborating veterinary practitioners. In an attempt to minimize these problems, the collaborating veterinary practitioners were given standardized case report forms and local laboratories were contacted.
Assuming an unbiased estimation of cancer occurrence, the incidence rates in our registry are higher than those reported by similar population-based registries in Italy [12, 13] where the crude incidence rates for all malignant cancer were less than 200 cases per 100,000 dog-years at risk. The differences, albeit evident, are smaller when the comparison is carried out with data from international population-based registries ([7, 8, 21]). Rates higher than ours were reported in a registry that used as a denominator for cancer incidence all dogs insured with a pet U.K. insurance company . The higher cancer rates we found cannot be convincingly linked to exposure of the dogs to as yet undetected environmental risk factors in the catchment area. Instead, the excess incidence may more likely stem from the effect of a different distribution of confounding factors such as age and breed, which are known determinants of cancer in dogs [22–24]. Unfortunately, in most of the comparable studies, data on the population structure by age and breed were not available, preventing any appropriate comparison of rates. Moreover unlike other studies, in ours the denominators were reduced to take into account the real proportion of dogs under veterinary care, an adjustment not reported elsewhere.
Another explanation for the high cancer rates we found may be due to the way we managed the data on multiple primary tumours, which are a common finding in dogs [25–27]. Based on the histopathological diagnosis, each type of neoplasm was classified as a separate cancer and added to the numerator. Other canine registries may not have done this. Finally, the potential risk of overestimation due to the inclusion of cases sourced from outside the registry catchment area was minimized by applying the preliminary case inclusion/exclusion criteria established in the registration protocol.
The distribution of cancer types in our registry is fairly consistent with the literature. As reported elsewhere [7–13, 21], the most prevalent malignant neoplasms were mammary carcinoma and cutaneous mastocytoma. The high prevalence of seminoma found in the Norwegian dog population  is analogous to the high incidence estimated in our registry. With regard to breed, the higher incidence rates in purebred rather than in cross-breed dogs were evident for Yorkshire terrier and Boxer, breeds known [5, 7, 27] to be particularly at risk of developing neoplasms, for which a genetic predisposition has been suggested. In the female dogs, the observed cancer trend by age matches those seen in other studies, with an exponential increase in elderly females for all tumours  or specifically for mammary tumours .
Comparison with the recent findings from two other Italian cancer registries [12, 13] shows that the distribution of tumours is substantially similar. In our registry, the ratio of malignant to benign tumours was 0.90:1, as compared to 0.96:1 in Genoa and 1:1 in the Veneto Region. The incidence of malignant cancer was higher in females than in males (2.5 times, 2.7 times, and 1.7 times in the study area, Genoa, and Veneto, respectively) and in purebred dogs than in cross-breed dogs (1.5 times in Piedmont and 2 times in Veneto where data were available). Finally, the distribution by tumour site (mammary and cutaneous/soft tissues tumours in females and cutaneous/soft tissues and genital tract tumours in males) was quite similar for all three registries. The exceptionally higher incidence of lymphoma in dogs of both sexes in the Genoa registry may have been due to the inclusion of cancers diagnosed by cytology or because of exposure to unknown risk factors present in a large city.
The Piedmont canine cancer registry is based on a large target population that combine rural and urban environments and on a population-based study design; for this reason our findings have the necessary external validity to be generalized, after adjustment for breed and age, to the canine population of northwestern Italy.
Assuming that the incidence rates from a population-based registry have external validity, national and international standards should be developed and shared to be able to make any meaningful comparison across studies. The adoption of an international classification and coding system, like the International Classification of Diseases for Oncology used in human cancer registries , would facilitate the exchange of comparable data and the possibility to carry out multicenter studies .
Finally, basic epidemiological methods (e.g., standardization techniques) to account for the confounding effect of age and breed should always be applied: data on population structure should be collected and made available in each study and, as proposed by Thrusfield , an international normal dog population should be established and shared as an external standard.
As highlighted by Kelsey et al. , the data from population-based canine cancer registries may facilitate the identification of a less select group of cases for case-control studies and allow examination of trends over time and geographic differences in cancer incidence. The findings from the current study provide data on the incidence of canine tumours. The incidence rates may be useful for assessing the impact of neoplastic diseases in the canine population in northwestern Italy and may serve as a reference when setting up studies to detect excess risks in the incidence of malignant tumours in dogs used as sentinels for community exposure to environmental carcinogens.
This work was supported by Piedmont Region (Ricerca Sanitaria Finalizzata 2000 & 2002, Ricerca Scientifica Applicata 2003). The authors are grateful to the public veterinary service (ASL TO4) and the veterinary practitioners involved in the project.
This work was supported by Piedmont Region (Ricerca Sanitaria Finalizzata 2000 & 2002, Ricerca Scientifica Applicata 2003). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
The datasets analysed during the current study are available from the corresponding author on request.
EBA carried out the research project, analysed and interpreted the data, and drafted the manuscript; EBO and ES performed the histopathological analysis and revised the manuscript; MCV assisted in the design of the study; MP carried out all laboratory procedures and contributed to the histopathological diagnosis, ML was responsible for conception of the study and necropsy examinations; RD and SB carried out the statistical analysis to estimate the canine population denominators and contributed to the conception of the study, CM assisted in the conduct and reporting of the study, GR supervised the project and contributed to the manuscript. All authors read, revised and approved the final manuscript.
Ethics approval and consent to participate
No animal care and use committee approval was required because the data used by Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta came from histopathological results collected during the study period. The Institute was given permission by veterinary practitioners and dog owners to use their histopathological results for research purposes.
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
- Ottinger MA, Dean KM. Neuroendocrine impacts of endocrine-disrupting chemicals in birds: life stage and species sensitivities. J Toxicol Environ Health B Crit Rev. 2011;14(5–7):413–22.View ArticlePubMedGoogle Scholar
- Garbe PL. The companion animal as a sentinel for environmentally related human diseases. Acta Vet Scand Suppl. 1988;84:290–2.PubMedGoogle Scholar
- Patronek GJ, Beck AM, Glickman LT. Dynamics of dog and cat populations in a community. J Am Vet Med Assoc. 1997;210(5):637–42.PubMedGoogle Scholar
- Dobson JM, Samuel S, Milstein H, Rogers K, Wood JL. Canine neoplasia in the UK: estimates of incidence rates from a population of insured dogs. J Small Anim Pract. 2002;43(6):240–6.View ArticlePubMedGoogle Scholar
- Egenvall A, Bonnett BN, Ohagen P, Olson P, Hedhammar A, von Euler H. Incidence of and survival after mammary tumors in a population of over 80,000 insured female dogs in Sweden from 1995 to 2002. Prev Vet Med. 2005;69(1–2):109–27.View ArticlePubMedGoogle Scholar
- Egenvall A, Nodtvedt A, Penell J, Gunnarsson L, Bonnett BN. Insurance data for research in companion animals: benefits and limitations. Acta Vet Scand. 2009;51:42.View ArticlePubMedPubMed CentralGoogle Scholar
- Dorn CR, Taylor DO, Schneider R, Hibbard HH, Klauber MR. Survey of animal neoplasms in alameda and contra costa counties, California. II. Cancer morbidity in dogs and cats from Alameda County. J Natl Cancer Inst. 1968;40(2):307–18.PubMedGoogle Scholar
- MacVean DW, Monlux AW, Anderson PS Jr, Silberg SL, Roszel JF. Frequency of canine and feline tumors in a defined population. Vet Pathol. 1978;15(6):700–15.View ArticlePubMedGoogle Scholar
- Moe L. Population-based incidence of mammary tumours in some dog breeds. Journal of Reproduction & Fertility - Supplement. 2001;57:439–43.Google Scholar
- Anfinsen KP, Grotmol T, Bruland OS, Jonasdottir TJ. Breed-specific incidence rates of canine primary bone tumors--a population based survey of dogs in Norway. Can J Vet Res. 2011;75(3):209–15.PubMedPubMed CentralGoogle Scholar
- Boerkamp KM, Teske E, Boon LR, Grinwis GC, van den Bossche L, Rutteman GR: Estimated incidence rate and distribution of tumours in 4,653 cases of archival submissions derived from the Dutch golden retriever population. BMC Vet Res. 2014;10:34–6148–10-34.Google Scholar
- Merlo DF, Rossi L, Pellegrino C, Ceppi M, Cardellino U, Capurro C, et al. Cancer incidence in pet dogs: findings of the animal tumor registry of Genoa, Italy. J Vet Intern Med. 2008;22(4):976–84.View ArticlePubMedGoogle Scholar
- Vascellari M, Baioni E, Ru G, Carminato A, Mutinelli F. Animal tumour registry of two provinces in northern Italy: incidence of spontaneous tumours in dogs and cats. BMC Vet Res. 2009;5:39.View ArticlePubMedPubMed CentralGoogle Scholar
- Chao A, Tsay PK, Lin S, Shau W, Chao D. The applications of capture-recapture models to epidemiological data. Stat Med. 2001;20(20):3123–57.View ArticlePubMedGoogle Scholar
- Anonymous International histological classification of tumors of domestic animals. Bull World Health Organ. 1974;50(1–2):1–142.Google Scholar
- Beveridge WI, Sobin LH. International histological classification of tumours of domestic animals: introduction. Bull World Health Organ. 1976;53(2–3):137–41.PubMedPubMed CentralGoogle Scholar
- Fritz A. ICD-O international classification of diseases for oncology: 3. ed ed. Geneva: World health organization; 2000.Google Scholar
- Withrow SJ, Vail DM. Withrow & MacEwen's small animal clinical oncology 4th ed. Philadelphia: W.B. Saunders Company; 2007. p. 846.Google Scholar
- Kelsey JL, Moore AS, Glickman LT. Epidemiologic studies of risk factors for cancer in pet dogs. Epidemiol Rev. 1998;20(2):204–17.View ArticlePubMedGoogle Scholar
- Wood JLN, Dobson J, Rogers K. An epidemiological study of cancer in British dogs based on insurance company data. Proceedings of the 9th symposium of the International Society for Veterinary Epidemiology and Economics. 2000;956-958.Google Scholar
- Reid-Smith R, Bonnett B, Martin S, Kruth S, Abrams-Ogg A, Hazlett M. The incidence of neoplasia in the canine and feline patient populations of private veterinary practices in Ontario. Proceedings of the 9th Symposium of the International Society for Veterinary Epidemiology and Economics, Breckenridge, Colorado: International Symposia on Veterinary Epidemiology and Economics; 2000;460Google Scholar
- Nodtvedt A, Gamlem H, Gunnes G, Grotmol T, Indrebo A, Moe L. Breed differences in the proportional morbidity of testicular tumours and distribution of histopathologic types in a population-based canine cancer registry. Vet Comp Oncol. 2011;9(1):45–54.View ArticlePubMedGoogle Scholar
- Dobson JM. Breed-predispositions to cancer in pedigree dogs. ISRN Vet Sci. 2013;2013:941275.View ArticlePubMedPubMed CentralGoogle Scholar
- Priester WA, McKay FW. The occurrence of tumors in domestic animals. Natl Cancer Inst Monogr. 1980;54:1-210.Google Scholar
- Mulligan RM. Multiple primary tumors in dogs. Cancer Res. 1944;4(8):505–9.Google Scholar
- Dorn CR, Taylor DO, Chaulk LE, Hibbard HH. The prevalence of spontaneous neoplasms in a defined canine population. Am J Public Health Nations Health. 1966;56(2):254–65.View ArticlePubMedPubMed CentralGoogle Scholar
- Bronden LB, Nielsen SS, Toft N, Kristensen AT. Data from the Danish veterinary cancer registry on the occurrence and distribution of neoplasms in dogs in Denmark. Vet Rec. 2010;166(19):586–90.View ArticlePubMedGoogle Scholar
- Dos Santos Silva I. Cancer epidemiology: principles and methods. Lyon: International Agency for Research on Cancer. 1999;442.Google Scholar
- Nodtvedt A, Berke O, Bonnett BN, Bronden L. Current status of canine cancer registration - report from an international workshop. Vet Comp Oncol. 2012;10(2):95–101.View ArticlePubMedGoogle Scholar
- Thrusfield MV. Demographic characteristics of the canine and feline populations of the UK in 1986. J Small Anim Pract. 1989;30(2):76–80.View ArticleGoogle Scholar