Research Paper Volume 11, Issue 13 pp 4688—4705

Assessment of ERBB2 and TOP2α gene status and expression profile in feline mammary tumors: findings and guidelines

Daniela Ferreira 1, 2, , Maria Soares 3, , Jorge Correia 4, , Filomena Adega 1, 2, , Fernando Ferreira 4, *, , Raquel Chaves 1, 2, *, ,

  • 1 CAG - Laboratory of Cytogenomics and Animal Genomics, Department of Genetics and Biotechnology, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal
  • 2 BioISI - Biosystems and Integrative Sciences Institute, Faculty of Sciences, University of Lisbon, Lisbon 1749-016, Portugal
  • 3 Research Center for Biosciences and Health Technologies (CBiOS), Faculdade de Medicina Veterinária, Universidade Lusófona de Humanidades e Tecnologias (ULHT), Lisbon 1749-024, Portugal
  • 4 CIISA - Centro de Investigação Interdisciplinar em Sanidade Animal, Faculdade de Medicina Veterinária, Universidade de Lisboa, Avenida da Universidade Técnica, Lisbon 1300-477, Portugal
* Equal contribution

received: March 8, 2019 ; accepted: July 2, 2019 ; published: July 12, 2019 ;

https://doi.org/10.18632/aging.102079
How to Cite

Copyright: Ferreira et al. This is an open‐access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

In humans, the ERBB2 gene amplification and overexpression are biomarkers for invasive breast cancer and a therapeutic target. Also, TOP2α gene aberrations predict the response to anthracycline-based adjuvant chemotherapy. Although feline mammary tumors (FMTs) are good models in comparative oncology, scarce data is available regarding the ERBB2 and TOP2α status. In this study, and for the first time, the ERBB2 DNA status and RNA levels of intracellular (ICD) and extracellular (ECD) coding regions were compared with TOP2α gene status and expression profile, in samples of FMTs and disease-free tissues from the same animal. Results showed that ERBB2 and TOP2α gene status are highly correlated (r=0.87, p<0.0001, n=25), with few tumor samples presenting amplification. Also, the majority of the FMTs showed ERBB2 overexpression coupled with TOP2α overexpression (r=0.87, p<0.0001, n=27), being the ERBB2-ICD and ECD transcripts highly correlated (r=0.97, p<0.0001, n=27). Significant associations were found between TOP2α gene status or ERBB2 and TOP2α RNA levels with several clinicopathological parameters. This work highlights the need of experimental designs for a precise evaluation of ERBB2 and TOP2α gene status and its expression in FMTs, to improve their clinical management and to further validate them as a suitable model for comparative oncology studies.

Introduction

Feline mammary tumors (FMTs) are the third most common cancer in cat, usually highly malignant, infiltrative and metastatic [1, 2], representing a source of aggressive tumor types. FMTs present similar clinicopathological, demographic [3], histopathological [4] and epidemiologic features with human breast carcinomas (HBC) [5], making them excelent models for the study of cancer-related genes [1].

ERBB2 (Erb-B2 Receptor Tyrosine Kinase 2, also known as HER2) is one of the most studied oncogenes, being considered a breast cancer biomarker (at the gene and protein levels), commonly overexpressed in HBC [6]. ERBB2 is a tyrosine kinase receptor, composed by three different domains: extracellular (ECD), intracellular (ICD) and transmembrane [4, 7, 8]. Studies regarding the intracellular and extracellular domains showed that frequently ERBB2 can be present in truncated forms, being these works highly relevant to predict therapeutic-resistances to ERBB2-targeted drugs (e.g., monoclonal antibodies and small tyrosine kinase inhibitors) [8]. In HBC, the standard method used to evaluate the ERBB2 expression is immunohistochemistry, being the fluorescent in situ hybridization used to detect gene amplification [4, 9, 10]. Additionally, the quantification of ERBB2 RNA levels by real time reverse transcriptase quantitative PCR (RT-qPCR) was also proposed as a potential additional molecular test for the routine diagnosis in HBC and FMT [8, 11, 12]. In cat, ERBB2 is overexpressed in about 30-60% of the FMT [4, 8, 13, 14], but contradictory results have been published. While, De Maria and colleagues [15] reported that ERBB2 is overexpressed in mostly feline mammary lesions, suggesting that FMT is a good model for ERBB2 overexpressing breast tumors with poor prognosis, Soares and co-authors [14] showed that ERBB2 is overexpressed in about 33% of FMTs also indicating that is a suitable model to study ERBB2 positive breast cancers without gene amplification. Santos et al [8] analyzed the ERBB2 protein (both, ICD and ECD) and the RNA levels of the ICD coding region of ERBB2. In this work it was reported that ERBB2 is frequently downregulated in FMT, proposing it as a valuable model for ERBB2 negative breast tumors. Since the above-mentioned studies used different technical approaches and evaluated different tumor samples, further research is needed to clarify the role of the ERBB2 status in the oncogenesis of FMTs towards the validation of new molecular assays and ERBB2-targeted therapies in cat.

Topoisomerase II alfa (TOP2α) is a nuclear enzyme involved in processes such as DNA replication and transcription and chromosome formation, enrichment, and segregation [16], playing a critical role in chromosome instability and tumorigenesis [17]. Also, this protein is suggested as a proliferation marker (as Ki67) due to its overexpression in proliferative cells [18, 19]. TOP2α is increased in around 60% HBCs [20], with triple negative and HER2-positive HBC subtypes presenting higher expression levels of TOP2α than the luminal subtype [21]. Regarding the gene aberrations, in HBC, the amplification of TOP2α is correlated with the response to anthracycline chemotherapy and a better outcome of the patient’s survival, independently of its protein expression [22, 23]. TOP2α status has several important implications in breast cancer, however standard tools and cut-off values for estimating TOP2α status have not yet been established [24]. In conclusion, the clinical significance of TOP2α in breast cancer has not yet been clarified [22, 24, 25], being a mandatory research area in this field.

ERBB2 and TOP2α genes are located in the same chromosome in both, cat and human genomes. In HBC, ERBB2 and TOP2α are frequently co-amplified and co-expressed in breast cancer patients [20] and have also been proposed as prognostic biomarkers [26-28]. Furthermore, a positive correlation has been reported between the expression levels of ERBB2 and TOP2α [18, 20], with the TOP2α overexpression being frequently found in ERBB2-positive breast cancer patients[26-28]. Other works, however, suggested that TOP2α should be used as an independent breast cancer prognostic and predictive biomarker [22].

In this work, the ERBB2 and TOP2α DNA and RNA status were analyzed and compared between 27 fresh feline mammary tumor (FMTs) samples and disease-free tissues (DFT) collected from the same animals, being these profiles integrated with clinicopathological features. Our results bring new data on the association of ERBB2 and TOP2α DNA and RNA status with oncogenesis and also on ERBB2 RNA ICD and ECD codifying regions in FMTs.

Results

ERBB2 and TOP2α don´t show DNA copy number alterations in FMT

Knowing that ERBB2 and TOP2α genes are located in the same chromosome in human and cat genomes, we analyzed the DNA copy number of ERBB2 (Figure 1a, Supplementary Table 1) and TOP2α genes (Figure 1b, Supplementary Table 2) in a collection of feline mammary tumors (n=27), always in comparison with the disease-free tissue from the same individual. In the majority of the tumors we did not detected ERBB2 gene amplification (72%) being this result in accordance with previously reported results [8]. It was shown that ERBB2 gene copy number is increased in 8% (2/25) of the cases and decreased in 20% (5/25) of them (Figure 1a, Supplementary Table 1). The evaluation of the TOP2α copy number revealed a similar profile to the observed for ERBB2, i.e., only 8% of the tumors presented amplification (2/26 samples) and 23% of the tumors showed a decreased number of copies (6/26, Figure 1b, Supplementary Table 2). Moreover, a strong correlation between the copy number of both genes was found (r= 0.87, p<0.0001, n=25, Figure 2).

ERBB2 and TOP2α maintain the copy number in feline mammary tumors. (a-b) Fold change of ERBB2 (a) and TOP2α (b) DNA copy number in feline mammary tumors (FMT) analyzed by real-time qPCR and compared with a disease-free tissue (DFT) sample collected from the same animal (control). The percentage of tumors showing an increased, maintained or decreased gene copy number of ERBB2 (a) and TOP2α (b) is presented in the upper right corner of each graph. Values are mean ± SD of three replicates. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001 were determined by Student’s t-test.

Figure 1. ERBB2 and TOP2α maintain the copy number in feline mammary tumors. (a-b) Fold change of ERBB2 (a) and TOP2α (b) DNA copy number in feline mammary tumors (FMT) analyzed by real-time qPCR and compared with a disease-free tissue (DFT) sample collected from the same animal (control). The percentage of tumors showing an increased, maintained or decreased gene copy number of ERBB2 (a) and TOP2α (b) is presented in the upper right corner of each graph. Values are mean ± SD of three replicates. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001 were determined by Student’s t-test.

ERBB2 and TOP2α DNA and RNAs correlogram. Correlation among ERBB2 and TOP2α DNA and RNAs. This correlogram was obtained using the R software. As some analysis presented a different “n”, the data was simultaneously analyzed in GraphPad software and the r-values were corrected by the GraphPad values.

Figure 2. ERBB2 and TOP2α DNA and RNAs correlogram. Correlation among ERBB2 and TOP2α DNA and RNAs. This correlogram was obtained using the R software. As some analysis presented a different “n”, the data was simultaneously analyzed in GraphPad software and the r-values were corrected by the GraphPad values.

ERBB2 and TOP2α are overexpressed in the majority of the feline mammary tumors

In this work, the cancer biomarker ERBB2 and the TOP2α gene showed to be correlated at its copy number. So, we decided to analyze both gene expression levels (RNA) in the FMTs collection. Regarding ERBB2, the coding regions for both intracellular and extracellular domains (ICD and ECD, respectively) were analyzed, since our group showed that there is a good correlation between the RNA and the protein of the ICD [8]. The results obtained showed that ERBB2 RNA levels are altered in the majority of FMTs when compared to the disease-free tissue (Figure 3a-b and Supplementary Table 1), with 44% of the tumors showing overexpression of both ICD and ECD transcripts, and different percentages for the downregulation of these two transcripts: 30% for the ECD and 26% for the ICD. Furthermore, the Pearson’s statistical analysis (Figure 2) showed that the expression of both ERBB2 transcripts (ECD and ICD) is significantly correlated (r=0.97, p<0.0001, n=27). In addition, the quantification of TOP2α transcripts revealed its overexpression in 60% of the FMT (Figure 3c, Supplementary Table 2), with ERBB2 and TOP2α expression levels highly correlated (r=0.87, p<0.0001, n=27, Figure 2).

The RNA levels of the EBB2 ICD and ECD and TOP2α are altered in the majority of the FMTs. Fold change of Erbb2 ICD (a) and ECD (b) RNA regions and TOP2α RNA (c) quantified by real-time RT-qPCR in FMTs and compared with disease-free tissue collected from the same donor. The percentage of tumors with an increase, maintenance or decrease in the ERBB2 ICD (a), ECD (b) and TOP2α (c) RNA levels is also presented, in the upper right corner of each graph. Values are mean ± SD of three replicates. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001 are determined by Student’s t-test.

Figure 3. The RNA levels of the EBB2 ICD and ECD and TOP2α are altered in the majority of the FMTs. Fold change of Erbb2 ICD (a) and ECD (b) RNA regions and TOP2α RNA (c) quantified by real-time RT-qPCR in FMTs and compared with disease-free tissue collected from the same donor. The percentage of tumors with an increase, maintenance or decrease in the ERBB2 ICD (a), ECD (b) and TOP2α (c) RNA levels is also presented, in the upper right corner of each graph. Values are mean ± SD of three replicates. *p≤0.05, **p≤0.01, ***p≤0.001, ****p≤0.0001 are determined by Student’s t-test.

ERBB2 and TOP2α association with clinicopathological data

Since the animals enrolled in this study were followed up clinically over four years, a statistical analysis was performed on the putative associations between clinicopathological parameters and ERBB2 and TOP2α DNA status and its expression levels (Table 1 and 2). Regarding ERBB2 (Table 1), a significant association was found between the ERBB2 RNA levels (both ICD and ECD) and tumor malignancy (p=0.001, n=27) and the higher ERBB2 expression seems to be related with the lower malignancy grade. In addition, the ERBB2 RNA levels (both ICD and ECD) were significant associated with the FMT molecular subtypes (p<0.001, n=27), with both luminal A and HER2 subtypes presenting higher ERBB2 gene expression, and triple negative tumors showing the lowest ERBB2 RNA levels. Finally, no associations were found between ERBB2 RNA levels and protein expression, suggesting that a deregulation in transcription and/or translation events of ERBB2 expression may have occured in these tumors.

Table 1. Statistical associations between the ERBB2 DNA and RNA levels: (ICD and ECD codifying domains) and clinicopathological features, using the one-way ANOVA.

Clinicopathological featuresERBB2 DNA MeanpERBB2 ICD RNA MeanpERBB2 ECD RNA Meanp
Tumor sizeT1 (< 2 cm)1.810.194 (n=25)0.710.520 (n=27)0.870.470 (n=27)
T2 (2-3 cm)0.6312.7316.01
T3 (> 3 cm)3.022.482.67
Skin ulcerationPresent0.490.620 (n=25)7.850.976 (n=27)8.760.986 (n=27)
Absent1.527.299.15
SterilizedYes2.000.319 (n=24)11.950.333 (n=26)15.290.276 (n=26)
No0.832.082.12
Oral contraceptiveYes1.960.450 (n=20)10.320.716 (n=21)12.120.839 (n=21)
No0.745.178.70
Multiple tumorsYes1.820.325 (n=25)9.850.504 (n=27)11.430.608 (n=27)
No0.643.055.20
Lymph node with metastasisPresent1.680.721 (n=24)3.040.468 (n=26)3.420.457 (n=26)
Absent1.2610.4712.37
Tumor stage12.580.608 (n=25)0.880.127 (n=27)1.070.085 (n=27)
20.6325.4632.52
31.532.552.87
Malignancy grade11.180.840 (n=25)65.820.001* (n=27)77.260.001* (n=27)
22.351.371.40
31.322.833.98
NecrosisPresent1.350.766 (n=25)9.270.505 (n=27)11.520.488 (n=27)
Absent1.771.792.27
Lymphatic invasionPresent3.430.067 (n=25)1.700.585 (n=27)1.640.542 (n=27)
Absent0.948.6110.82
Lymphocytic invasionPresent1.400.919 (n=25)3.130.222 (n=27)4.380.247 (n=27)
Absent1.5215.7418.60
ki67 indexHigh1.340.698 (n=25)2.750.073 (n=27)3.870.085 (n=27)
Low1.9423.3727.50
PR statusPositive1.040.382 (n=25)1.980.183 (n=27)2.440.161 (n=27)
Negative2.0415.1218.85
ER statusPositive0.890.586 (n=25)20.290.111 (n=27)23.840.129 (n=27)
Negative1.612.803.97
ERBB2 statusPositive2.630.104 (n=25)2.790.443 (n=27)4.510.513 (n=27)
Negative0.7710.4512.29
Ck5_6 indexHigh1.630.682 (n=25)10.530.432 (n=27)12.380.502 (n=27)
Low1.152.684.39
Molecular classificationLB0.810.298 (n=25)2.21<0.001* (n=27)2.74<0.001* (n=27)
HER25.025.1810.83
LBHER21.431.902.14
LA1.18130.82153.84
TN normal0.100.230.32
TN basal0.703.954.15
*Indicates p≤0.05.

Table 2. Statistical analysis between the TOP2α gene status and RNA expression with clinicopathological features, using one-way ANOVA test.

Clinicopathological featuresTOP2α DNA MeanpTOP2α RNA Meanp
Tumor sizeT1 (< 2 cm)1.060.159 (n=26)4.540.287 (n=25)
T2 (2-3 cm)0.6038.31
T3 (> 3 cm)2.174.87
Skin ulcerationPresent0.460.600 (n=26)59.950.473 (n=25)
Absent1.1220.59
SterilizedYes1.390.362 (n=25)13.380.480 (n=24)
No0.7529.11
Oral contraceptiveYes1.390.421 (n=21)6.760.020* (n=19)
No0.6523.40
OVH with mastectomyYes0.740.932 (n=12)35.470.588 (n=11)
No0.770.48
Multiple tumorsYes1.270.403 (n=26)26.520.621 (n=25)
No0.6815.63
Lymph node with metastasisPresent1.300.587 (n=25)37.440.163 (n=24)
Absent0.916.79
Tumor stage11.240.680 (n=26)5.680.694 (n=25)
20.5218.09
31.2329.02
Malignancy grade10.760.895 (n=26)1.580.768 (n=25)
21.464.99
31.0425.60
NecrosisPresent1.080.976 (n=26)27.350.440 (n=25)
Absent1.058.85
Lymphovascular invasionPresent2.560.024* (n=26)56.540.102 (n=25)
Absent0.7213.57
Lymphocytic invasionPresent1.140.784 (n=26)28.890.361 (n=25)
Absent0.947.89
ki67 indexHigh1.040.871 (n=26)24.080.732 (n=25)
Low1.1814.76
PR statusPositive0.920.597 (n=26)26.110.626 (n=25)
Negative1.2815.16
Ck5_6 indexHigh1.220.613 (n=26)28.420.512 (n=25)
Low0.8714.21
ER statusPositive0.770.589 (n=26)12.830.627 (n=25)
Negative1.1825.12
ERBB2 statusPositive1.690.139 (n=26)36.250.241 (n=25)
Negative0.6811.10
Molecular classificationLB0.810.282 (n=26)12.450.776 (n=25)
HER23.2618.33
LBHER21.0142.97
LA0.840.51
TN normal0.108.99
TN basal0.3422.17
*Indicates p≤0.05

Concerning the TOP2α DNA and RNA levels and the clinicopathological features (Table 2), a significant correlation between the DNA levels and lymphovascular invasion (Figure 4a, p=0.024, n=26) and between the RNA levels and oral contraceptive administration (Figure 4b, p=0.020, n=19) was found. The association between the oral contraception and the TOP2α RNA levels has not yet been reported, either in humans or in cats, but in the present study, the animals medicated with oral contraceptive showed mammary carcinomas with lower TOP2α RNA levels.

Statistical associations between TOP2α gene status and lymphovascular invasion (a) and between ERBB2 RNAs levels and oral contraceptive administration (b). The data are presented as box-plot graphics, showing median, quartiles and extreme values for each category. The p-value was obtained by one-way analysis of variance test (ANOVA, Tukey Post Hoc Multiple Comparisons).

Figure 4. Statistical associations between TOP2α gene status and lymphovascular invasion (a) and between ERBB2 RNAs levels and oral contraceptive administration (b). The data are presented as box-plot graphics, showing median, quartiles and extreme values for each category. The p-value was obtained by one-way analysis of variance test (ANOVA, Tukey Post Hoc Multiple Comparisons).

Discussion

The effect of ERBB2 gene amplification and its concomitant overexpression (in terms of protein levels) on human breast cancer (HBC) patients is well documented. Indeed, ERBB2 gene amplification [29-31] is considered a biomarker of poor prognosis in HBC, with patients showing a poor disease outcome [29-34], moderately improved by the novel anti-ERBB2 therapies [35]. In parallel, TOP2α gene aberrations have been proposed as a biomarker for chromosomal instability [27] and are correlated with the response to anthracycline chemotherapy (or other polychemotherapy regimens) and a better outcome of the patient’s survival, independently of its protein expression [22, 23]. Furthermore, in other works and in HBC patients, the amplification of the TOP2α gene has been associated with ERBB2 gene amplification and related with ERBB2 overexpression [18, 20, 26-28].

Up to now, in HBC, the development of diagnostic tools based on the evaluation of the ERBB2 RNA levels has been neglected and its usefulness depends on more accurate studies, adequately validated. In this work we evaluated the ERBB2 and TOP2α gene status and RNA levels in a collection of feline mammary tumors using the disease-free tissue sample collected from the same donor as reference and these data were associated with clinicopathological features. It is important to emphasize that the use as a reference sample the disease-free tissue of the same individual, makes our study more robust since each sample is informative about the tumor spontaneously acquired.

It seems that amplification of ERBB2 gene in ERBB2-positive feline mammary tumors (FMTs) is not frequently found [8, 14]. Additionally, in the FMTs analyzed so far, TOP2α gene does not seem to be amplified [14]. A low percentage of tumors presenting co-amplification of ERBB2 and TOP2α genes was found, with the copy number analysis of both genes showing a high correlation, most probably because they are located in the same chromosome [36, 37]. These data is in accordance with other works performed in FMTs and HBCs [14, 18, 20, 38-43].

At this point, it is also important to highlight that the methodologies used to determine the gene status in ERBB2 is different in HBC and in the FMTs here analyzed. In HBC and following the 2013 ASCO/CAP guidelines (maintained in the 2018 recommendations), the categorization of ERBB2 is subdivided in three classes by In Situ Hybridization (ISH), being the equivocal cases detected by immunohistochemistry analysis (IHC) resolved by ISH. Thus, in HBC, the ISH test is performed with a dual-probe for ERBB2 gene and for CEP17 (a satellite DNA sequence specific for human chromosome 17). In this work, we could not use this method since CEP17, a repetitive sequence, is not present in the cat genome. Thus, the use of this probe in FMTs (as reported by [14]) is not conclusive since it cannot exclude cases of polysomy. It is worth mentioning that ERBB2 gene amplification in HBC is only clinically significant when it is amplified in homogeneous staining regions (HSRs) or as extrachromosomal material [44, 45]. In sum, in the present work (and in our previous one [8]), we are trying to implement a new method for copy number gene determination. However, the data comparison between HBC and FMTs is difficult since the technical principles between both methodologies are different. It will be important, in a near future, to analyze a specific HBC categorized panel following the 2018 ASCO/CAP guidelines to validate the method used in the present work.

Several studies reported the existence of ERBB2 truncated forms, both in cat and in humans, leading in HBC to an ineffective response to anti-ERBB2 therapies (e.g., Herceptin) [8, 46]. These ERBB2 truncated forms are mainly described in HBC patients, with the truncated protein containing only the ICD or ECD or, alternatively, part of both domains [47]. In FMT, a truncated form was described comprising the ICD [4, 8], prompting us to analyzed both RNAs codifying domains of ERBB2. With this approach, we were able to evaluate the difference in the transcription of the ECD and ICD, what could be indicative of the presence of a ERBB2 truncated protein. Regarding the results from the quantification of the RNA coding regions for intracellular (ICD) and extracellular (ECD) domains of ERBB2, a positive correlation between the expression levels of both RNAs was found (similar quantity of transcripts from both domains), being overexpressed in 44% of the tumors evaluated. Based on our RNA expression results, the following hypothesis are proposed: 1) the FMTs analyzed do not exhibit truncated ERBB2 forms; 2) if there are truncated ERBB2 protein forms, they comprise both domains, even if partially represented; 3) if truncated forms with only one domain are present, they do not result from alternative splicing (in this case there is a post-transcriptional modification, namely, in the translation process, and not in the transcription) [47]. To validate these hypotheses, it would be mandatory to analyze the expression of ERBB2 at protein level, and for both ICD and ECD. However, we were not able to establish a correlation between the levels of the two domains of ERBB2 transcripts and IHC results (data not shown), in contrast to the results reported by Santos et al. (2013) [8]. Additionally, it was not possible to perform the IHC of the ECD of the ERBB2 protein on these FMTs due to the lack of tumor samples. With these constraints, it is difficult to conclude on the ERBB2 protein status in FMT (Table 3). Nevertheless, apart from the fact that the sampling should be larger, some important conclusions can be drawn, since the two ERBB2 coding domains (ICD and ECD) were quantified, for the first time, by real time RT-qPCR, and a disease-free tissue was used to normalize the data. This last aspect is fundamental, since several works reported that in cat, ERBB2 gene expression varies in the normal mammary gland, depending on the stage of the estrus cycle, contrasting with the normal human mammary gland [8, 48]. Additionally, the expression of this gene described in normal human tissues disagrees widely between studies, and this is due to its role in normal cells, for instance, the ERBB2 protein is expressed in epithelial cells, particularly those of the secretory epithelia, such as the mammary gland [49]. Thus, we suggest that novel studies should analyze the ERBB2 expression at RNA and protein levels and, simultaneously, for ICD and ECD coding regions, while the results should be normalize with the values from the disease-free tissue harvested from the same donor, as previous suggested by us [8, 50]. Only with this type of design it will be possible to define the ERBB2 status (RNA and protein in both domains) in FMTs, contributing to validate the use of cat as a model for ERBB2-positive breast cancer studies.

Table 3. ERBB2 DNA and RNA (ICD and ECD) and TOP2α DNA and RNA status: (+ increased, = maintained and – decreased) considering the cut-off 2-fold and ERBB2 protein status following the 2013 ASCO/CAP guidelines (and maintained in the 2018 recommendations) of each of each tumor sample.

ERBB2Top2α
DNARNA ICDRNA ECDCB11/ProteinDNARNA
1===1+negative=-
2+==2+equivocal+=
3=--1+negative==
4=++0negative=+
5=++2+equivocal-+
6=++1+negative=+
7=++2+equivocal=+
8=--2+equivocal==
9-++1+negative-+
10--2+equivocal-
11=--2+equivocal=-
12=--0negative=+
13-==1+negative=+
14=++1+negative=+
15=++1+negative=
16=++1+negative=+
17+++3+positive++
18=++1+negative=+
19===2+equivocal=+
20=++2+equivocal-+
21==3+positive==
22-++0negative-
23---1+negative-=
24=-=2+equivocal==
25===1+negative=+
26-=-0negative-+
27===0negative==

In this study, the RNA levels of TOP2α were also measured and correlated with the ERBB2 RNA levels, being overexpressed in 60% of the tumors analyzed, what is in accordance with previous studies [51, 52]. Similarly to the observed for ERBB2, no correlation was found between TOP2α DNA and RNA levels (results in accordance with [51, 52]). In the future, it will be important to quantify TOP2α protein as there are contradictory published works regarding the clinical significance of the TOP2α expression [22, 24, 25, 51, 52].

From the statistical analysis between the ERBB2 expression and clinicopathological parameters, we verified that ERBB2 RNAs levels are negatively correlated with the tumor malignancy grade and, that luminal A and HER2-positive FMT subtypes showed higher ERBB2 RNAs levels and triple negative FMT subtype the lowest. Regarding the integration of TOP2α results with the clinicopathological parameters, a significant association between the TOP2α gene status and lymphovascular invasion was found and, between the TOP2α RNA levels and oral contraceptive administration. This is the first time that an association between the oral contraception and TOP2α RNA levels is reported, but more studies are needed before its use in the veterinary clinical practice.

In summary, and assembling all the data, the following conclusions can be drawn: 1) the co-amplification of ERBB2 and TOP2α genes does not appear to be relevant to their overexpression; 2) other regulatory mechanisms seem to be of major importance in the expression profile of these genes; 3) transcriptional and post-transcriptional mechanisms may be involved in the regulation and expression of these genes in mammary tumors (the co-dysregulation of the aforementioned genes was observed in HBC [20, 39-43], suggesting that FMTs can be used as a cancer model for testing anti-ERBB2 and anti-TOP2α therapies); 4) new experimental designs are needed to define the ERBB2 status towards the validation of FMT as a suitable cancer model and ERBB2 as a valuable biomarker in veterinary medicine. Additionally and in a near future, the accurate evaluation of ERBB2 expression will have great value improving targeted treatments in cats with ERBB2-positive mammary tumors, especially, with the recent licensing of TKI’s for small animal practice and development of felinized anti-ERBB2 antibodies [53, 54].

Materials and Methods

Tissue sample collection and characterization

Twenty-seven female cats with spontaneous mammary carcinoma that underwent surgical treatment at the Small Animal Hospital of the Veterinary Medicine Faculty, University of Lisbon, were enrolled in this study. All the owners gave consent for the collection of tumor and disease-free tissue samples, accepting that these might be used for research purposes. In addition, all procedures were carried out in accordance with the EU Directive 2010/63/EU on the protection of animals used for scientific purposes. The tumors were histologically classified according to the World Health Organization (WHO) criteria of dog and cat mammary neoplasms and the malignancy grade was determined using the Elston & Ellis scoring system [55, 56]. The animals’ age ranged from 7 to 17 years, being of different breeds. During the physical evaluation, all the mammary glands and regional lymph nodes were evaluated. When possible, the clinical data and the tumor features were recorded, i.e.: size of the tumor (T1 < 2 cm; T2 > 2 cm and < 3 cm; T3 > 3 cm), animal sterilization, oral contraception, mastectomy accompanied by ovariohysterectomy (OVH), presence of multiple tumors, lymph node with metastasis, necrosis, lymphatic and lymphocytic invasion and skin ulceration. Clinical staging was performed using a TNM system and animals were classified in four stages [57]. All the animals were followed-up after surgery in order to collect data about disease-free survival, overall survival and recurrence type. During the surgical procedure, the excised tumors, normal tissues and were immediately preserved in an RNA stabilization solution (RNA Later Tissue Collection, Ambion) and frozen (at −80°C) to prevent RNA degradation. In addition, a representative area of each mammary carcinoma was formalin-fixed and paraffin embedded for immunohistochemistry (IHC) analysis. ERBB2 (with CB11 antibody for the ICD), Ki-67, PR, ER and CK5/6 immunostaining was performed in accordance to Soares et al. [58] and to the guidelines of the St. Gallen International Expert Consensus panel [59, 60].

Genomic DNA and RNA isolation

The genomic DNA isolation was performed using 5 mg of each sample (that were cut in small pieces) and the Quick-Gene DNA Tissue Kit S (Fujifilm Life Science) following the manufacturer’s protocol (the tissue lysis step was made by incubation at 70ºC, for 16h). For the RNA extraction were used 60 mg of tissue (that was digested using a cell lysis buffer and a cell disruptor apparatus) and the mirVana™ miRNA Isolation Kit (Ambion, Life Technologies) was performed as described by the manufacturer, being the RNA sample submitted to DNA degradation with the TURBO DNA-free Kit (Ambion, Life Technologies).

Quantification of ERBB2 and Top2α gene copy number

The ERBB2 and TOP2α gene copy number quantification (primers in Supplementary Table 3) was performed using the standard curve method, as described in Santos et al. [8] and Chaves et al. [61]. The quantification in each DNA sample was obtained by interpolating its CT value against the standard curve. In the PCR reactions were used 10 ng of genomic DNA. The MeltDoctor HRM Master Mix with the SYTO9 dye (Applied Biosystems, Thermo Fisher Scientific) was used in the reactions, following the manufacturer's recommendations. These experiments were performed in a StepOne real-time PCR system (Applied Biosystems, Thermo Fisher Scientific). Briefly, PCR mixtures were exposed to an initial denaturation step at 95°C (10 min), and then to 40 cycles at 95°C for 15 sec followed by 61°C for ERBB2 or 60ºC for TOP2α for 1 min. At the end, a melt curve was performed to evaluate the primers specificity. All reactions were performed in triplicate and negative controls (without DNA) were also included. The StepOne software (version 2.2.2, Applied Biosystems, Thermo Fisher Scientific) was used to create the standard curve (parameters in Supplementary Table 4) and to data analysis. The absolute quantification was transformed in fold-change using the standard curve equation and always in comparison with the respective control sample. A cut-off ≥ 2 times was considered as biologically significant.

Analysis of RNA expression by real-time RT-qPCR

For ERBB2 (intracellular and extracellular RNA codifying regions, Supplementary Figure 1) and TOP2α RNA quantification (primers in Supplementary Table 3), the standard curve method described by Chaves et al. [61] was used. Standard curve parameters are presented in Supplementary Table 4. For the gene expression quantification, Verso 1-Step RT-qPCR kit, SYBR Green, ROX (Thermo Scientific) was used, following the manufacturer’s recommendations. The absolute quantification of RNA for each sample was obtained by interpolating its CT value against the standard curve. All the PCR reactions were performed in 80 ng of RNA and carried out in a 48-well optical plate (StepOne real-time PCR system, Applied Biosystems, Thermo Fisher Scientific), at 50 °C for 15 min and at 95 °C for 15 min, followed by 40 cycles at 95 °C for 15 sec and at 60 °C for 1 min. Subsequently, a melt curve was performed to evaluate the primer specificity. All reactions were performed in triplicate, and negative controls (without RNA and without Reverse Transcriptase enzyme) were also included in the plate. The data were analyzed using the same parameters and the StepOne software (version 2.2.2, Applied Biosystems, Thermo Fisher Scientific). A cut-off ≥ 2 times was considered as biologically significant.

Statistical analysis

The statistical software SPSS (Statistical Package for the Social Sciences, version 17.0), the GraphPad Prism 6 (version 6.01) and the R software (The R Foundation for Statistical Computing, 3.3.1 version) were used for the statistical analysis. The Student's t-test (two-tailed) was used for the analysis of the gene copy number variation and transcripts levels between the tumor and the normal samples (real-time qPCR and RT-qPCR results). Statistical associations amongst the clinicopathological parameters were performed using different tests; ANOVA test was performed for analyzing continuous variables with categorical variables and the Pearson’s correlation test to verify the presence of a correlation between continuous variables. When the samples did not present a Gaussian distribution, the values were transformed with the log function in order to normalize the values’ distribution. The correlogram was prepared with GraphPad Prism 6 (version 6.01) and R software (The R Foundation for Statistical Computing, 3.3.1 version). All values are expressed as mean ± SD (standard deviation). The exceptions are the data presented in the box-plot graphics that represents the median, quartiles, and extreme values within a category. In all statistical comparisons, p < 0.05 was established as representing significant difference.

Gene nomenclature

The gene nomenclature used in this work is in accordance with the HGNC-approved official gene symbols [62].

Supplementary Materials

Supplementary File

Acknowledgements

The authors want to acknowledge Maria I. Carvalho (Veterinary Sciences Department from UTAD) for its help in the statistical analysis of the clinicopathological features. None of the funding bodies had any part in the design of the study and collection, analysis, and interpretation of data or in the preparation of the manuscript.

Conflicts of Interest

The authors declare no competing financial interest.

Funding

This work was supported by Fundação para a Ciência e Tecnologia (Portugal) through the projects PTDC/CVTEPI/3638/2014 and CIISA-UID/CVT/00276/2019, the PhD grant SFRH/BD/70720/2010 and the UID/MULTI/04046/2019 Research Unit grant (to BioISI).

References

  • 1. Adega F, Borges A, Chaves R. Cat Mammary Tumors: Genetic Models for the Human Counterpart. Vet Sci. 2016; 3:17. https://doi.org/10.3390/vetsci3030017 [PubMed]
  • 2. Hughes K, Dobson JM. Prognostic histopathological and molecular markers in feline mammary neoplasia. Vet J. 2012; 194:19–26. https://doi.org/10.1016/j.tvjl.2012.05.008 [PubMed]
  • 3. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2013. CA Cancer J Clin. 2013; 63:11–30. https://doi.org/10.3322/caac.21166 [PubMed]
  • 4. Soares M, Ribeiro R, Najmudin S, Gameiro A, Rodrigues R, Cardoso F, Ferreira F. Serum HER2 levels are increased in cats with mammary carcinomas and predict tissue HER2 status. Oncotarget. 2016; 7:17314–26. https://doi.org/10.18632/oncotarget.7551 [PubMed]
  • 5. Cannon CM. Cats, cancer and comparative oncology. Vet Sci. 2015; 2:111–26. https://doi.org/10.3390/vetsci2030111 [PubMed]
  • 6. Gutierrez C, Schiff R. HER2: biology, detection, and clinical implications. Arch Pathol Lab Med. 2011; 135:55–62. https://doi.org/10.1043/2010-0454-RAR.1 [PubMed]
  • 7. Benusiglio PR, Lesueur F, Luccarini C, Conroy DM, Shah M, Easton DF, Day NE, Dunning AM, Pharoah PD, Ponder BA. Common ERBB2 polymorphisms and risk of breast cancer in a white British population: a case-control study. Breast Cancer Res. 2005; 7:R204–09. https://doi.org/10.1186/bcr982 [PubMed]
  • 8. Santos S, Baptista CS, Abreu RM, Bastos E, Amorim I, Gut IG, Gärtner F, Chaves R. ERBB2 in cat mammary neoplasias disclosed a positive correlation between RNA and protein low expression levels: a model for erbB-2 negative human breast cancer. PLoS One. 2013; 8:e83673. https://doi.org/10.1371/journal.pone.0083673 [PubMed]
  • 9. Harris L, Fritsche H, Mennel R, Norton L, Ravdin P, Taube S, Somerfield MR, Hayes DF, Bast RC Jr, and American Society of Clinical Oncology. American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. J Clin Oncol. 2007; 25:5287–312. https://doi.org/10.1200/JCO.2007.14.2364 [PubMed]
  • 10. Wolff AC, Hammond ME, Hicks DG, Dowsett M, McShane LM, Allison KH, Allred DC, Bartlett JM, Bilous M, Fitzgibbons P, Hanna W, Jenkins RB, Mangu PB, et al, and American Society of Clinical Oncology, and College of American Pathologists. Recommendations for human epidermal growth factor receptor 2 testing in breast cancer: American Society of Clinical Oncology/College of American Pathologists clinical practice guideline update. J Clin Oncol. 2013; 31:3997–4013. https://doi.org/10.1200/JCO.2013.50.9984 [PubMed]
  • 11. Esteva FJ, Sahin AA, Cristofanilli M, Coombes K, Lee SJ, Baker J, Cronin M, Walker M, Watson D, Shak S, Hortobagyi GN. Prognostic role of a multigene reverse transcriptase-PCR assay in patients with node-negative breast cancer not receiving adjuvant systemic therapy. Clin Cancer Res. 2005; 11:3315–19. https://doi.org/10.1158/1078-0432.CCR-04-1707 [PubMed]
  • 12. Potemski P, Płuciennik E, Bednarek AK, Kusińska R, Pasz-Walczak G, Jesionek-Kupnicka D, Watala C, Kordek R. A comparative assessment of HER2 status in operable breast cancer by real-time RT-PCR and by immunohistochemistry. Med Sci Monit. 2006; 12:MT57–61. [PubMed]
  • 13. Ordás J, Millán Y, Dios R, Reymundo C, de Las Mulas JM. Proto-oncogene HER-2 in normal, dysplastic and tumorous feline mammary glands: an immunohistochemical and chromogenic in situ hybridization study. BMC Cancer. 2007; 7:179. https://doi.org/10.1186/1471-2407-7-179 [PubMed]
  • 14. Soares M, Correia J, Rodrigues P, Simões M, de Matos A, Ferreira F. Feline HER2 protein expression levels and gene status in feline mammary carcinoma: optimization of immunohistochemistry (IHC) and in situ hybridization (ISH) techniques. Microsc Microanal. 2013; 19:876–82. https://doi.org/10.1017/S1431927613001529 [PubMed]
  • 15. De Maria R, Olivero M, Iussich S, Nakaichi M, Murata T, Biolatti B, Di Renzo MF. Spontaneous feline mammary carcinoma is a model of HER2 overexpressing poor prognosis human breast cancer. Cancer Res. 2005; 65:907–12. [PubMed]
  • 16. Wang JC. Cellular roles of DNA topoisomerases: a molecular perspective. Nat Rev Mol Cell Biol. 2002; 3:430–40. https://doi.org/10.1038/nrm831 [PubMed]
  • 17. Chen T, Sun Y, Ji P, Kopetz S, Zhang W. Topoisomerase IIα in chromosome instability and personalized cancer therapy. Oncogene. 2015; 34:4019–31. https://doi.org/10.1038/onc.2014.332 [PubMed]
  • 18. Mueller RE, Parkes RK, Andrulis I, O’Malley FP. Amplification of the TOP2A gene does not predict high levels of topoisomerase II alpha protein in human breast tumor samples. Genes Chromosomes Cancer. 2004; 39:288–97. https://doi.org/10.1002/gcc.20008 [PubMed]
  • 19. Ali Y, Abd Hamid S. Human topoisomerase II alpha as a prognostic biomarker in cancer chemotherapy. Tumour Biol. 2016; 37:47–55. https://doi.org/10.1007/s13277-015-4270-9 [PubMed]
  • 20. Qiao JH, Jiao DC, Lu ZD, Yang S, Liu ZZ. Clinical significance of topoisomerase 2A expression and gene change in operable invasive breast cancer. Tumour Biol. 2015; 36:6833–38. https://doi.org/10.1007/s13277-015-3390-6 [PubMed]
  • 21. Martin M, Romero A, Cheang MC, López García-Asenjo JA, García-Saenz JA, Oliva B, Román JM, He X, Casado A, de la Torre J, Furio V, Puente J, Caldés T, et al. Genomic predictors of response to doxorubicin versus docetaxel in primary breast cancer. Breast Cancer Res Treat. 2011; 128:127–36. https://doi.org/10.1007/s10549-011-1461-y [PubMed]
  • 22. Bartlett JM, McConkey CC, Munro AF, Desmedt C, Dunn JA, Larsimont DP, O’Malley FP, Cameron DA, Earl HM, Poole CJ, Shepherd LE, Cardoso F, Jensen MB, et al. Predicting Anthracycline Benefit: TOP2A and CEP17-Not Only but Also. J Clin Oncol. 2015; 33:1680–87. https://doi.org/10.1200/JCO.2013.54.7869 [PubMed]
  • 23. Fountzilas G, Christodoulou C, Bobos M, Kotoula V, Eleftheraki AG, Xanthakis I, Batistatou A, Pentheroudakis G, Xiros N, Papaspirou I, Koumarianou A, Papakostas P, Bafaloukos D, et al. Topoisomerase II alpha gene amplification is a favorable prognostic factor in patients with HER2-positive metastatic breast cancer treated with trastuzumab. J Transl Med. 2012; 10:212. https://doi.org/10.1186/1479-5876-10-212 [PubMed]
  • 24. Shigematsu H, Ozaki S, Yasui D, Yamamoto H, Zaitsu J, Taniyama D, Saitou A, Kuraoka K, Hirata T, Taniyama K. Overexpression of topoisomerase II alpha protein is a factor for poor prognosis in patients with luminal B breast cancer. Oncotarget. 2018; 9:26701–10. https://doi.org/10.18632/oncotarget.25468 [PubMed]
  • 25. Erber R, Gluz O, Brünner N, Kreipe HH, Pelz E, Kates R, Bartels A, Huober J, Mohrmann S, Moustafa Z, Liedtke C, Möbus V, Augustin D, et al. Predictive role of HER2/neu, topoisomerase-II-alpha, and tissue inhibitor of metalloproteinases (TIMP-1) for response to adjuvant taxane-based chemotherapy in patients with intermediate-risk breast cancer: results from the WSG-AGO EC-Doc trial. Breast Cancer Res Treat. 2015; 150:279–88. https://doi.org/10.1007/s10549-015-3310-x [PubMed]
  • 26. Dai X, Xiang L, Li T, Bai Z. Cancer Hallmarks, Biomarkers and Breast Cancer Molecular Subtypes. J Cancer. 2016; 7:1281–94. https://doi.org/10.7150/jca.13141 [PubMed]
  • 27. Huijsmans CJ, van den Brule AJ, Rigter H, Poodt J, van der Linden JC, Savelkoul PH, Hilbink M, Hermans MH. Allelic imbalance at the HER2/TOP2A locus in breast cancer. Diagn Pathol. 2015; 10:56. https://doi.org/10.1186/s13000-015-0289-x [PubMed]
  • 28. Xu YC, Zhang FC, Li JJ, Dai JQ, Liu Q, Tang L, Ma Y, Xu Q, Lin XL, Fan HB, Wang HX. RRM1, TUBB3, TOP2A, CYP19A1, CYP2D6: difference between mRNA and protein expression in predicting prognosis of breast cancer patients. Oncol Rep. 2015; 34:1883–94. https://doi.org/10.3892/or.2015.4183 [PubMed]
  • 29. Slamon DJ, Clark GM, Wong SG, Levin WJ, Ullrich A, McGuire WL. Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. Science. 1987; 235:177–82. https://doi.org/10.1126/science.3798106 [PubMed]
  • 30. Peiró G, Adrover E, Aranda FI, Peiró FM, Niveiro M, Sánchez-Payá J. Prognostic implications of HER-2 status in steroid receptor-positive, lymph node-negative breast carcinoma. Am J Clin Pathol. 2007; 127:780–86. https://doi.org/10.1309/FWHEQX6HB9190LVY [PubMed]
  • 31. Iqbal N, Iqbal N. Human Epidermal Growth Factor Receptor 2 (HER2) in Cancers: Overexpression and Therapeutic Implications. Mol Biol Int. 2014; 2014:852748. https://doi.org/10.1155/2014/852748 [PubMed]
  • 32. Song YJ, Shin SH, Cho JS, Park MH, Yoon JH, Jegal YJ. The role of lymphovascular invasion as a prognostic factor in patients with lymph node-positive operable invasive breast cancer. J Breast Cancer. 2011; 14:198–203. https://doi.org/10.4048/jbc.2011.14.3.198 [PubMed]
  • 33. Deger A, Ozyigit F, Arik O, Ekici F, Cinkaya A, Tayfur M, Deger H. Association between well-known histopathological criteria and overall survival in invasive ductal carcinoma. Int J Clin Exp Pathol. 2015; 8:9772–81. [PubMed]
  • 34. Liu YL, Saraf A, Lee SM, Zhong X, Hibshoosh H, Kalinsky K, Connolly EP. Lymphovascular invasion is an independent predictor of survival in breast cancer after neoadjuvant chemotherapy. Breast Cancer Res Treat. 2016; 157:555–64. https://doi.org/10.1007/s10549-016-3837-5 [PubMed]
  • 35. Pondé N, Brandão M, El-Hachem G, Werbrouck E, Piccart M. Treatment of advanced HER2-positive breast cancer: 2018 and beyond. Cancer Treat Rev. 2018; 67:10–20. https://doi.org/10.1016/j.ctrv.2018.04.016 [PubMed]
  • 36. Harris LN, Broadwater G, Abu-Khalaf M, Cowan D, Thor AD, Budman D, Cirrincione CT, Berry DA, Winer EP, Hudis CA, Hayes DF, Friedman P, Ellis M, Dressler L. Topoisomerase IIalpha amplification does not predict benefit from dose-intense cyclophosphamide, doxorubicin, and fluorouracil therapy in HER2-amplified early breast cancer: results of CALGB 8541/150013. J Clin Oncol. 2009; 27:3430–36. https://doi.org/10.1200/JCO.2008.18.4085 [PubMed]
  • 37. Slamon DJ, Press MF. Alterations in the TOP2A and HER2 genes: association with adjuvant anthracycline sensitivity in human breast cancers. J Natl Cancer Inst. 2009; 101:615–18. https://doi.org/10.1093/jnci/djp092 [PubMed]
  • 38. Fasching PA, Weihbrecht S, Haeberle L, Gasparyan A, Villalobos IE, Ma Y, Ekici AB, Wachter DL, Hartmann A, Beckmann MW, Slamon DJ, Press MF. HER2 and TOP2A amplification in a hospital-based cohort of breast cancer patients: associations with patient and tumor characteristics. Breast Cancer Res Treat. 2014; 145:193–203. https://doi.org/10.1007/s10549-014-2922-x [PubMed]
  • 39. Hannemann J, Kristel P, van Tinteren H, Bontenbal M, van Hoesel QG, Smit WM, Nooij MA, Voest EE, van der Wall E, Hupperets P, de Vries EG, Rodenhuis S, van de Vijver MJ. Molecular subtypes of breast cancer and amplification of topoisomerase II alpha: predictive role in dose intensive adjuvant chemotherapy. Br J Cancer. 2006; 95:1334–41. https://doi.org/10.1038/sj.bjc.6603449 [PubMed]
  • 40. Mano MS, Rosa DD, De Azambuja E, Ismael GF, Durbecq V. The 17q12-q21 amplicon: Her2 and topoisomerase-IIalpha and their importance to the biology of solid tumours. Cancer Treat Rev. 2007; 33:64–77. https://doi.org/10.1016/j.ctrv.2006.10.001 [PubMed]
  • 41. Järvinen TA, Liu ET. HER-2/neu and topoisomerase IIalpha--simultaneous drug targets in cancer. Comb Chem High Throughput Screen. 2003; 6:455–70. https://doi.org/10.2174/138620703106298635 [PubMed]
  • 42. Järvinen TA, Tanner M, Bärlund M, Borg A, Isola J. Characterization of topoisomerase II alpha gene amplification and deletion in breast cancer. Genes Chromosomes Cancer. 1999; 26:142–50. https://doi.org/10.1002/(SICI)1098-2264(199910)26:2<142::AID-GCC6>3.0.CO;2-B [PubMed]
  • 43. Järvinen TA, Tanner M, Rantanen V, Bärlund M, Borg A, Grénman S, Isola J. Amplification and deletion of topoisomerase IIalpha associate with ErbB-2 amplification and affect sensitivity to topoisomerase II inhibitor doxorubicin in breast cancer. Am J Pathol. 2000; 156:839–47. https://doi.org/10.1016/S0002-9440(10)64952-8 [PubMed]
  • 44. Curado M, Caramelo AS, Eloy C, Polónia A. What to expect from the 2018 ASCO/CAP HER2 guideline in the reflex in situ hybridization test of immunohistochemically equivocal 2+ cases? Virchows Arch. 2019. https://doi.org/10.1007/s00428-019-02567-z [PubMed]
  • 45. Ma Y, Lespagnard L, Durbecq V, Paesmans M, Desmedt C, Gomez-Galdon M, Veys I, Cardoso F, Sotiriou C, Di Leo A, Piccart MJ, Larsimont D. Polysomy 17 in HER-2/neu status elaboration in breast cancer: effect on daily practice. Clin Cancer Res. 2005; 11:4393–99. https://doi.org/10.1158/1078-0432.CCR-04-2256 [PubMed]
  • 46. Xia W, Liu Z, Zong R, Liu L, Zhao S, Bacus SS, Mao Y, He J, Wulfkuhle JD, Petricoin EF 3rd, Osada T, Yang XY, Hartman ZC, et al. Truncated ErbB2 expressed in tumor cell nuclei contributes to acquired therapeutic resistance to ErbB2 kinase inhibitors. Mol Cancer Ther. 2011; 10:1367–74. https://doi.org/10.1158/1535-7163.MCT-10-0991 [PubMed]
  • 47. Dittrich A, Gautrey H, Browell D, Tyson-Capper A. The HER2 Signaling Network in Breast Cancer--Like a Spider in its Web. J Mammary Gland Biol Neoplasia. 2014; 19:253–70. https://doi.org/10.1007/s10911-014-9329-5 [PubMed]
  • 48. Burrai GP, Mohammed SI, Miller MA, Marras V, Pirino S, Addis MF, Uzzau S, Antuofermo E. Spontaneous feline mammary intraepithelial lesions as a model for human estrogen receptor- and progesterone receptor-negative breast lesions. BMC Cancer. 2010; 10:156. https://doi.org/10.1186/1471-2407-10-156 [PubMed]
  • 49. Gullick WJ, Srinivasan R. The type 1 growth factor receptor family: new ligands and receptors and their role in breast cancer. Breast Cancer Res Treat. 1998; 52:43–53. https://doi.org/10.1023/A:1006107016969 [PubMed]
  • 50. Ferreira D, Escudeiro A, Adega F, Chaves R. DNA Methylation Patterns of a Satellite Non-coding Sequence - FA-SAT in Cancer Cells: Its Expression Cannot Be Explained Solely by DNA Methylation. Front Genet. 2019; 10:101. https://doi.org/10.3389/fgene.2019.00101 [PubMed]
  • 51. Fountzilas G, Valavanis C, Kotoula V, Eleftheraki AG, Kalogeras KT, Tzaida O, Batistatou A, Kronenwett R, Wirtz RM, Bobos M, Timotheadou E, Soupos N, Pentheroudakis G, et al. HER2 and TOP2A in high-risk early breast cancer patients treated with adjuvant epirubicin-based dose-dense sequential chemotherapy. J Transl Med. 2012; 10:10. https://doi.org/10.1186/1479-5876-10-10 [PubMed]
  • 52. Brase JC, Schmidt M, Fischbach T, Sültmann H, Bojar H, Koelbl H, Hellwig B, Rahnenführer J, Hengstler JG, Gehrmann MC. ERBB2 and TOP2A in breast cancer: a comprehensive analysis of gene amplification, RNA levels, and protein expression and their influence on prognosis and prediction. Clin Cancer Res. 2010; 16:2391–401. https://doi.org/10.1158/1078-0432.CCR-09-2471 [PubMed]
  • 53. London CA. Small molecule inhibitors in veterinary oncology practice. Vet Clin North Am Small Anim Pract. 2014; 44:893–908. https://doi.org/10.1016/j.cvsm.2014.06.001 [PubMed]
  • 54. Ranieri G, Pantaleo M, Piccinno M, Roncetti M, Mutinati M, Marech I, Patruno R, Rizzo A, Sciorsci RL. Tyrosine kinase inhibitors (TKIs) in human and pet tumours with special reference to breast cancer: a comparative review. Crit Rev Oncol Hematol. 2013; 88:293–308. https://doi.org/10.1016/j.critrevonc.2013.05.009 [PubMed]
  • 55. Elston CW, Ellis IO. (1998). Assessment of histological grade. Rosen’s breast pathology. (Philadelphia: Lippincott-Raven), pp. 365–382.
  • 56. Misdorp W. (2002). Tumors of the mammary gland. In: Meuten DJ, ed. Tumors in Domestic Animals. (Iowa: Wiley-Blackwell), pp. 575-606.
  • 57. Sorenmo KU, Worley DR, Goldschmidt MH. (2013). Tumors of the mammary gland. In: Withrow SJ, Vail DM and Page RL, eds. Small animal clinical oncology. (Missouri: Saunders Elsevier), pp. 538-556.
  • 58. Soares M, Ribeiro R, Carvalho S, Peleteiro M, Correia J, Ferreira F. Ki-67 as a Prognostic Factor in Feline Mammary Carcinoma: What Is the Optimal Cutoff Value? Vet Pathol. 2016; 53:37–43. https://doi.org/10.1177/0300985815588606 [PubMed]
  • 59. Soares M, Madeira S, Correia J, Peleteiro M, Cardoso F, Ferreira F. Molecular based subtyping of feline mammary carcinomas and clinicopathological characterization. Breast. 2016; 27:44–51. https://doi.org/10.1016/j.breast.2016.02.016 [PubMed]
  • 60. Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, Senn HJ, Albain KS, André F, Bergh J, Bonnefoi H, Bretel-Morales D, Burstein H, et al, and Panel members. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013; 24:2206–23. https://doi.org/10.1093/annonc/mdt303 [PubMed]
  • 61. Chaves R, Ferreira D, Mendes-da-Silva A, Meles S, Adega F. FA-SAT is an old satellite DNA frozen in several Bilateria genomes. Genome Biol Evol. 2017; 9:3073–87. https://doi.org/10.1093/gbe/evx212 [PubMed]
  • 62. Wain HM, Bruford EA, Lovering RC, Lush MJ, Wright MW, Povey S. Guidelines for human gene nomenclature. Genomics. 2002; 79:464–70. https://doi.org/10.1006/geno.2002.6748 [PubMed]