scholarly journals A Statistical Analysis of Risk Factors and Biological Behavior in Canine Mammary Tumors: A Multicenter Study

Animals ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 1687
Author(s):  
Giovanni P. Burrai ◽  
Andrea Gabrieli ◽  
Valentina Moccia ◽  
Valentina Zappulli ◽  
Ilaria Porcellato ◽  
...  
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Statistical Analysis ◽  
Multicenter Study ◽  
Malignant Tumors ◽  
Mammary Tumors ◽  
Supervised Machine Learning ◽  
Biological Behavior ◽  
Clinical Staging ◽  
Canine Mammary Tumors

Canine mammary tumors (CMTs) represent a serious issue in worldwide veterinary practice and several risk factors are variably implicated in the biology of CMTs. The present study examines the relationship between risk factors and histological diagnosis of a large CMT dataset from three academic institutions by classical statistical analysis and supervised machine learning methods. Epidemiological, clinical, and histopathological data of 1866 CMTs were included. Dogs with malignant tumors were significantly older than dogs with benign tumors (9.6 versus 8.7 years, p < 0.001). Malignant tumors were significantly larger than benign counterparts (2.69 versus 1.7 cm, p < 0.001). Interestingly, 18% of malignant tumors were smaller than 1 cm in diameter, providing compelling evidence that the size of the tumor should be reconsidered during the assessment of the TNM-WHO clinical staging. The application of the logistic regression and the machine learning model identified the age and the tumor’s size as the best predictors with an overall diagnostic accuracy of 0.63, suggesting that these risk factors are sufficient but not exhaustive indicators of the malignancy of CMTs. This multicenter study increases the general knowledge of the main epidemiologica-clinical risk factors involved in the onset of CMTs and paves the way for further investigations of these factors in association with CMTs and in the application of machine learning technology.

scholarly journals Association of histological features with potential risk factors and survival in canine mammary tumors

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Yaritza Josefina Salas-Araujo ◽  
Enrique Aburto ◽  
Rogelio Alonso ◽  
Adelys Antonio Márquez-Alvarado ◽  
Hortensia Corona-Monjaras ◽  
...  
Keyword(s):  
Risk Factors ◽  
Potential Risk ◽  
Mammary Tumors ◽  
Biological Behavior ◽  
German Shepherd ◽  
Term Survival ◽  
Histological Features ◽  
Cocker Spaniel ◽  
Canine Mammary Tumors ◽  
Potential Risk Factors

The epidemiological and clinicopathological features of canine mammary tumors may provide valuable information to facilitate analysis of the behavior of the disease and represent a potential tool for the study of breast cancer in women. The aim of this study was to associate the histological features of canine mammary tumors with potential risk factors and survival. One hundred and seventy-eight mammary tumors were collected from 80 female dogs. The statistical analyses consisted of a series of univariate studies and frequencies of the different study variables, such as a bivariate analysis with the Chi squared test (χ2), a relative risk and Kaplan Meier survival analysis, and a multiple correspondence analysis was used to correlate the tumor’s biological behavior with the dogs’ breed. Most patients were older than 8 years and had at least one malignant tumor, which was usually solitary and measured more than 6 cm; these patients had poor survival. The most frequent tumors were a complex adenoma, benign mixed tumor, carcinoma complex and mixed type carcinoma. The most commonly affected breeds were Poodle, Cocker Spaniel and Dachshund, and the breeds at the highest risk of tumor development were Cocker Spaniel, Labrador Retriever and German Shepherd. Overall, the data indicated that mammary tumors in dogs mainly affected older females with malignant tumors and that there were high mortality and short-term survival rates. However, the most commonly affected breeds were not necessarily the most susceptible. Our data do not support the hypothesis of an increased risk of canine mammary tumors in nulliparous female dogs.

scholarly journals EPIDEMIOLOGY, RISK FACTORS AND PATHOMORPHOLOGICAL FEATURES OF MAMMARY TUMORS IN CATS

THE BULLETIN ◽  
2020 ◽  
Vol 6 (388) ◽  
pp. 78-84
Author(s):  
Dyulger Georgy Petrovich, ◽  
◽  
Dyulger Petr Georgiyevich, ◽  
Alikhanov Oralbek, ◽  
Sedletskaya Evgenia Sergeevna, ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Carcinoma In Situ ◽  
Mammary Cancer ◽  
Malignant Tumors ◽  
Mammary Tumors ◽  
Biological Behavior ◽  
Histological Structure ◽  
Ovarian Status

Mammary tumors (MT) are the 3rd most common neoplasm in cats. The incidence rate is significantly influenced by gender, age, breed, ovarian status, and the use of progestin-based contraceptives. MTs are a group of neoplasms that is heterogeneous in terms of tissue belonging, histological structure, and biological behavior. Malignant tumors are most frequent and compile from 80% to 96% of all tumors and tumor-like mammary lesions. Mammary cancer (MC) prevails, accounting for 91.4% of all cases of malignant tumors. Invasive breast cancer is much more common than carcinoma in situ. Among histological types of breast cancer, cribriform, solid, and tubulopapillary carcinomas predominate; mucous, tubular, and papillary carcinomas are less common.

scholarly journals Supervised machine learning and logistic regression identifies novel epistatic risk factors with PTPN22 for rheumatoid arthritis

2010 ◽  
Vol 11 (3) ◽  
pp. 199-208 ◽  
Author(s):  
F B S Briggs ◽  
P P Ramsay ◽  
E Madden ◽  
J M Norris ◽  
V M Holers ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Machine Learning ◽  
Risk Factors ◽  
Logistic Regression ◽  
Supervised Machine Learning

Number of Nucleoli and Nucleolar Organizer Regions per Nucleus and Nucleolus — Prognostic Value in Canine Mammary Tumors

1996 ◽  
Vol 33 (5) ◽  
pp. 527-532 ◽  
Author(s):  
M. BratuliĆ ◽  
Ž GrabareviĆ ◽  
B. ArtukoviĆ ◽  
D. Capak
Keyword(s):  
Malignant Tumors ◽  
Organizer Region ◽  
Nucleolar Organizer Region ◽  
Nucleolar Organizer ◽  
Staining Technique ◽  
Mammary Tumors ◽  
World Health ◽  
Nucleolar Organizer Regions ◽  
Canine Mammary Tumors ◽  
Significant Difference

Twenty-eight canine mammary tumors were evaluated for histopathologic classification as recommended by the World Health Organization and silver-binding nucleolar organizer region (AgNOR) and nucleolus counts. Samples of surgically excised tumors and tumors taken at necropsy were fixed in neutral formalin, embedded in paraffin, and cut into 1-3-μm-thick sections. Two sections were taken from each tumor: one was stained with hematoxylin and eosin and the other was treated with the silver staining technique for the demonstration of AgNORs. After histopathologic classification, the number of nucleoli and the number of AgNORs/nucleus and AgNORs/nucleolus were determined. Statistical analysis (Student's t-test) showed a significant difference in the mean number of nucleoli ( P < 0.005), mean number of AgNORs/nucleolus ( P < 0.001), and mean number of AgNORs/nucleus ( P < 0.005) between benign and malignant canine mammary tumors. There was no significant differences between metastatic and nonmetastatic malignant tumors.

scholarly journals An Immunohistochemical Study on the Expression of Sex Steroid Receptors in Canine Mammary Tumors

2012 ◽  
Vol 2012 ◽  
pp. 1-7 ◽  
Author(s):  
Leena Rajathy Port Louis ◽  
Khub Chandra Varshney ◽  
Madhavan Gopalakrishnan Nair
Keyword(s):  
Estrogen Receptor ◽  
Epithelial Cells ◽  
Estrogen Receptor Alpha ◽  
Malignant Tumors ◽  
Steroid Receptors ◽  
Estrogen Receptor Beta ◽  
Smooth Muscles ◽  
Mammary Tumors ◽  
Benign Tumors ◽  
Canine Mammary Tumors

Steroid hormones are found to play a major role in the genesis and progression of mammary tumors. The aim of this study was to immunohistochemically detect the presence of estrogen receptor alpha (ERα), estrogen receptor beta (ERβ), and progesterone receptor (PR) and also to study the association between these markers in 29 cases of benign (11) and malignant (18) canine mammary tumors. ERα immunostaining was noticed in only one case of carcinosarcoma specifically in the nuclei of epithelial and a few myoepithelial cells. ERβ immunostaining was noticed in the nuclei and cytoplasm of epithelial cells and smooth muscles lining the blood vessels. Immunoexpression of ERβ was 82% in benign tumors and 78% in malignant tumors. PR immunostaining was expressed in the nuclei of epithelial cells in both benign and malignant tumors. Among the 15 PR+ cases, 6 (55%) were of benign type, and 9 (50%) were of malignant type. The most common group of hormone receptor was the ERα−/PR+/ERβ+ (46%) in benign tumors and ERα−/PR−/ERβ+ (38%) in malignant tumors. Although there was no significant association between ERα and PR with ERβ, the findings indicated that ERβ was consistently expressed in both benign and malignant tumors, irrespective of ERα and PR status.

scholarly journals Assessing the Heterogeneity of Complaints Related to Tinnitus and Hyperacusis from an Unsupervised Machine Learning Approach: An Exploratory Study

2020 ◽  
Vol 25 (4) ◽  
pp. 174-189 ◽  
Author(s):  
Guillaume  Palacios ◽  
Arnaud Noreña ◽  
Alain Londero
Keyword(s):  
Machine Learning ◽  
Statistical Analysis ◽  
Language Processing ◽  
Exploratory Study ◽  
Latent Dirichlet Allocation ◽  
Suicide Attempts ◽  
Real Life ◽  
Supervised Machine Learning ◽  
Learning Approach ◽  
Machine Learning Approach

Introduction: Subjective tinnitus (ST) and hyperacusis (HA) are common auditory symptoms that may become incapacitating in a subgroup of patients who thereby seek medical advice. Both conditions can result from many different mechanisms, and as a consequence, patients may report a vast repertoire of associated symptoms and comorbidities that can reduce dramatically the quality of life and even lead to suicide attempts in the most severe cases. The present exploratory study is aimed at investigating patients’ symptoms and complaints using an in-depth statistical analysis of patients’ natural narratives in a real-life environment in which, thanks to the anonymization of contributions and the peer-to-peer interaction, it is supposed that the wording used is totally free of any self-limitation and self-censorship. Methods: We applied a purely statistical, non-supervised machine learning approach to the analysis of patients’ verbatim exchanged on an Internet forum. After automated data extraction, the dataset has been preprocessed in order to make it suitable for statistical analysis. We used a variant of the Latent Dirichlet Allocation (LDA) algorithm to reveal clusters of symptoms and complaints of HA patients (topics). The probability of distribution of words within a topic uniquely characterizes it. The convergence of the log-likelihood of the LDA-model has been reached after 2,000 iterations. Several statistical parameters have been tested for topic modeling and word relevance factor within each topic. Results: Despite a rather small dataset, this exploratory study demonstrates that patients’ free speeches available on the Internet constitute a valuable material for machine learning and statistical analysis aimed at categorizing ST/HA complaints. The LDA model with K = 15 topics seems to be the most relevant in terms of relative weights and correlations with the capability to individualizing subgroups of patients displaying specific characteristics. The study of the relevance factor may be useful to unveil weak but important signals that are present in patients’ narratives. Discussion/Conclusion: We claim that the LDA non-supervised approach would permit to gain knowledge on the patterns of ST- and HA-related complaints and on patients’ centered domains of interest. The merits and limitations of the LDA algorithms are compared with other natural language processing methods and with more conventional methods of qualitative analysis of patients’ output. Future directions and research topics emerging from this innovative algorithmic analysis are proposed.

Immunohistologic Detection of Estrogen Receptor Alpha in Canine Mammary Tumors: Clinical and Pathologic Associations and Prognostic Significance

2000 ◽  
Vol 37 (3) ◽  
pp. 239-247 ◽  
Author(s):  
A. Nieto ◽  
L. Peña ◽  
M. D. Pérez-Alenza ◽  
M. A. Sánchez ◽  
J. M. Flores ◽  
...  
Keyword(s):  
Estrogen Receptor ◽  
Lymph Node ◽  
Prognostic Value ◽  
Malignant Tumors ◽  
Prognostic Significance ◽  
Mammary Tumors ◽  
Proliferation Index ◽  
Lymph Node Status ◽  
Canine Mammary Tumors

Eighty-nine canine mammary tumors and dysplasias of 66 bitches were investigated to determine the immunohistochemical expression of classical estrogen receptor (ER-α) and its clinical and pathologic associations and prognostic value. A complete clinical examination was performed and reproductive history was evaluated. After surgery, all animals were followed-up for 18 months, with clinical examinations every 3–4 months. ER-α expression was higher in tumors of genitally intact and young bitches ( P < 0.01, P < 0.01) and in animals with regular estrous periods ( P = 0.03). Malignant tumors of the bitches with a previous clinical history of pseudopregnancy expressed significantly more ER-α ( P = 0.04). Immunoexpression of ER-α decreased significantly with tumor size ( P = 0.05) and skin ulceration ( P = 0.01). Low levels of ER-α were significantly associated with lymph node involvement ( P < 0.01). Malignant tumors had lower ER-α expression than did benign tumors ( P < 0.01). Proliferation index measured by proliferating cell nuclear antigen immunostaining was inversely correlated with ER-α scores ( P = 0.05) in all tumors. Low ER-α levels in primary malignant tumors were significantly associated with the occurrence of metastases in the follow-up ( P = 0.03). Multivariate analyses were performed to determine the prognostic significance of some follow-up variables. ER-α value, Ki-67 index, and age were independent factors that could predict disease-free survival. Lymph node status, age, and ER-α index were independent prognostic factors for the overall survival. The immunohistochemical detection of ER-α in canine mammary tumors is a simple technique with prognostic value that could be useful in selecting appropriate hormonal therapy.

scholarly journals Immunohistochemical and molecular expression of laminin-332 gamma-2 chain in canine mammary tumors

2011 ◽  
Vol 63 (1) ◽  
pp. 28-35
Author(s):  
D.A.P.C Zuccari ◽  
R Castro ◽  
B.V Jardim ◽  
U.M Mancini ◽  
G.M Polachini
Keyword(s):  
Western Blot ◽  
Mammary Cancer ◽  
Malignant Tumors ◽  
Mammary Tumors ◽  
Malignant Potential ◽  
Rt Pcr ◽  
Canine Mammary Tumors ◽  
Weak Expression ◽  
Molecular Expression ◽  
Laminin 332

Forty-eight cases of canine mammary cancer were investigated to evaluate the immunohistochemical distribution of the γ2 chain of laminin-332. Tumor cells were compared to a pool of normal mammary tissues using quantitative RT-PCR. The western blot was performed in eight tumor samples as complementary test to evaluate protein integrity. Immunohistochemistry experiments showed negative, focal, and weak expression of laminin-332 γ2 in tumors with the worst prognosis. Quantitative PCR revealed downregulation of the gene in 27 (56.2%) of the animals. Out of the 16 dogs with γ2 chain overexpression, seven were still alive. The western blot results showed bands generation of 36, 50, and 98kDa, suggesting degradation of laminin-332 γ2 in malignant tumors. The results suggest that, in the future, low expression and/or degradation of laminin-332 γ2 chain in canine mammary tumors may be used as an indicator of malignant potential. However, further studies are necessary to corroborate these results

scholarly journals Canine Mammary Tumors: Comparison of Classification and Grading Methods in a Survival Study

2018 ◽  
Vol 56 (2) ◽  
pp. 208-219 ◽  
Author(s):  
Ana Canadas ◽  
Miguel França ◽  
Cristina Pereira ◽  
Raquel Vilaça ◽  
Hugo Vilhena ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Malignant Tumors ◽  
Mammary Tumors ◽  
Classification Systems ◽  
World Health ◽  
Benign Tumors ◽  
Histological Subtype ◽  
Canine Mammary Tumors ◽  
Nottingham Grade ◽  
Health Organization

Histopathology remains the cornerstone for diagnosing canine mammary tumors (CMTs). Recently, 2 classification systems (the World Health Organization [WHO] classification of 1999 and the proposal of 2011) and 2 grading methods based on the human Nottingham grade have been used by pathologists. Despite some evidence that the histological subtype and grade are prognostic factors, there is no comprehensive comparative study of these classification and grading systems in the same series of CMTs. In this study, the 2 classifications and the 2 grading methods were simultaneously applied to a cohort of 134 female dogs with CMTs. In 85 animals with malignant tumors, univariable and multivariable survival analyses were performed. Using the 2 systems, the proportion of benign (161/305, 53%) and malignant (144/305, 47%) tumors was similar and no significant differences existed in categorization of benign tumors. However, the 2011 classification subdivided malignant tumors in more categories—namely, those classified as complex, solid, and tubulopapillary carcinomas by the WHO system. Histological subtype according to both systems was significantly associated with survival. Carcinomas arising in benign tumors, complex carcinomas, and mixed carcinomas were associated with a better prognosis. In contrast, carcinosarcomas and comedocarcinomas had a high risk of tumor-related death. Slight differences existed between the 2 grading methods, and grade was related to survival only in univariable analysis. In this cohort, age, completeness of surgical margins, and 2 index formulas adapted from human breast cancer studies (including tumor size, grade, and vascular/lymph node invasion) were independent prognostic factors.

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