Skip to main content
Download PDF

Topoisomerase I activity and sensitivity to camptothecin in breast cancer-derived cells: a comparative study

BMC Cancer volume 19, Article number: 1158 (2019) Cite this article

Abstract

Background

Camptothecin (CPT) and its derivatives are currently used as second- or third-line treatment for patients with endocrine-resistant breast cancer (BC). These drugs convert nuclear enzyme DNA topoisomerase I (TOP1) to a cell poison with the potential to damage DNA by increasing the half-life of TOP1-DNA cleavage complexes (TOP1cc), ultimately resulting in cell death. In small and non-randomized trials for BC, researchers have observed extensive variation in CPT response rates, ranging from 14 to 64%. This variability may be due to the absence of reliable selective parameters for patient stratification. BC cell lines may serve as feasible models for generation of functional criteria that may be used to predict drug sensitivity for patient stratification and, thus, lead to more appropriate applications of CPT in clinical trials. However, no study published to date has included a comparison of multiple relevant parameters and CPT response across cell lines corresponding to specific BC subtypes.

Method

We evaluated the levels and possible associations of seven parameters including the status of the TOP1 gene (i.e. amplification), TOP1 protein expression level, TOP1 activity and CPT susceptibility, activity of the tyrosyl-DNA phosphodiesterase 1 (TDP1), the cellular CPT response and the cellular growth rate across a representative panel of BC cell lines, which exemplifies three major BC subtypes: Luminal, HER2 and TNBC.

Results

In all BC cell lines analyzed (without regard to subtype classification), we observed a significant overall correlation between growth rate and CPT response. In cell lines derived from Luminal and HER2 subtypes, we observed a correlation between TOP1 gene copy number, TOP1 activity, and CPT response, although the data were too limited for statistical analyses. In cell lines representing Luminal and TNBC subtypes, we observed a direct correlation between TOP1 protein abundancy and levels of enzymatic activity. In all three subtypes (Luminal, HER2, and TNBC), TOP1 exhibits approximately the same susceptibility to CPT. Of the three subtypes examined, the TNBC-like cell lines exhibited the highest CPT sensitivity and were characterized by the fastest growth rate. This indicates that breast tumors belonging to the TNBC subtype, may benefit from treatment with CPT derivatives.

Conclusion

TOP1 activity is not a marker for CPT sensitivity in breast cancer.

Peer Review reports

Background

Breast cancer (BC) is the most frequent form of cancer among women [1]. The incidence of BC in Denmark is one of the highest in the world, with 4686 new cases annually [2]. Criteria for morphological BC subtyping have recently been refined and supplemented with complementary molecular classifications based on transcriptomic profiling and/or genomic analysis [3, 4]. The heterogeneity of BC, encompassing as many as 10 distinct intrinsic molecular subtypes with various morphological and molecular features, natural histories and responses to therapy, poses a significant challenge for the design of effective treatment regimens [5]. Currently, molecular targeted therapies are available only for estrogen receptor-positive (ER) and human epidermal growth factor receptor 2-positive (HER2) breast tumor [6,7,8]. However, a significant proportion (~ 30%) of primary tumors do not express ER or HER2. These tumors comprise the so-called triple-negative breast cancer (TNBC) group, which can currently be treated only with conventional chemotherapy [9,10,11]. TNBC tumors usually develop at a higher rate in young patients, tend to be high grade, and have a poor prognosis due to their generally aggressive nature and the lack of effective therapy [12, 13]. A small but significant number of patients with hormone-positive BC either do not respond or will acquire resistance to endocrine therapy during treatment and eventually develop disease recurrence [14]. Conventional chemotherapy remains the mainstay of treatment for such BC patients due to a lack of suitable molecular therapeutic targets. The combination of limited treatment options with the clinico-pathological heterogeneity of BC renders clinical management of such lesions extremely demanding [15]. Improved management of tumors that do not respond to any treatment is of vital importance [16].

Camptothecin (CPT) is the mother compound of an important class of drugs that specifically target the nuclear enzyme topoisomerase I (TOP1). The members of this class of compounds are currently among the most effective anti-cancer drugs for the treatment of advanced-stage gastrointestinal (colorectal and gastro-esophageal) malignancies, ovarian cancer, and recurrent small-cell lung cancer (SCL) [17,18,19]. Biologically, TOP1 plays essential roles in the maintenance of genomic integrity by releasing topological DNA stress that arises during transcription or replication. This is achieved with creation of a transient single-strand break in the DNA, which allows for the relaxation of DNA supercoiling [20]. Although the nicking-closing activity of TOP1 is remarkably fast (up to 6000 cycles per minute), the enzyme is susceptible to a number of drugs, including CPT, selectively when it is in covalent complex with DNA [21, 22].

CPT inhibits the re-ligation step of the TOP1 catalytic cycle, leading to the accumulation of cytotoxic covalent TOP1-DNA cleavage complexes (TOP1cc). The cytotoxic effect of TOP1cc is specific to the S-phase and is thought to reflect collision events between the replication machinery and TOP1cc, leading to DNA fragmentation and cell death [23]. Decreased expression of TOP1 protein poses a limitation to the number of TOP1cc that can be trapped. Reduced enzyme activity is associated with decreased generation of TOP1cc. The efficiency by which TOP1-mediated re-ligation is inhibited by CPT (i.e., the CPT susceptibility of TOP1) may also affect the number of accumulated TOP1cc and thereby modulate the cytotoxic effect of CPT. Enzyme activity and susceptibility to CPT may be regulated by means other than TOP1 transcription and translation [24, 25], such as post-translational modifications or interaction with other proteins [26,27,28]. Hence, for prediction of the cellular CPT response, it may be informative to measure expression level, activity and CPT susceptibility of the TOP1 enzyme as previously demonstrated in experiments with colorectal cancer cell lines [26] . Also, DNA repair proteins such as tyrosyl-DNA phosphodiesterase 1 (TDP1) that removes the protein moiety from trapped TOP1cc and facilitate sealing of the DNA nick by ligases before any permanent damage can be generated may affect the cellular CPT response [29, 30].

Consistent with the mechanism of CPT inhibition, high expression levels of TOP1 are associated with high CPT sensitivity [31, 32]. Conversely, decreased TOP1 expression has been linked to resistance to CPT [33, 34]. Recent research suggests that TOP1 gene copy number may be used as an alternative to TOP1 protein expression as a predictive biomarker for stratification of patients with CPT-responsive colorectal cancer [35,36,37]. However, the results obtained from studies investigating such a possibility are inconsistent. The data published to date on the predictive validity of TOP1 protein expression in the adjuvant setting have been inconclusive [38].

The efficacy of CPT derivatives for the treatment of BC patients has been investigated in several small and non-randomized trials. It has been shown that response rates in patients treated with CPT derivatives in combination with various chemotherapeutic agents range from 14 to 64% [39]. This may reflect the wide heterogeneity of BC, as reflected in the high degree of diversity between and within tumors, as well as the high degree of diversity among cancer-bearing individuals. Decreased levels of TOP1 protein in BC cells have been associated with decreased sensitivity to CPT [40]; this finding is in line with data reported for colorectal cancer [41]. However, we previously demonstrated a direct correlation between TOP1 activity and the cellular drug response in various subpopulations of colon cancer cells that did not vary significantly with regard to TOP1 expression [26]. This observation implies that measurement of parameters other than TOP1 protein abundance or gene amplification across heterogeneous subpopulations of tumors may allow for prediction of the response to CPT.

BC cell lines are currently considered as valuable and informative models for generating functional criteria that can explain the drug sensitivity. Such criteria may be used for patient stratification and allow for more appropriate use of CPT in clinical trials [42,43,44]. However, no comprehensive examination has yet been performed to compare multiple parameters (including TOP1 activity and response to CPT) across cell lines corresponding to specific BC subtypes.

The aim of the current study was to characterize a set of BC cell lines (Luminal, HER2, and TNBC) according to basic functional parameters critical to the accumulation of CPT-induced TOP1cc and downstream effects. We measured seven genetic or metabolic characteristics of TOP1 that were considered to be most significant and informative for analysis of the functioning of the enzyme, including: (i) TOP1 amplification status; (ii) TOP1 protein expression; (iii) TOP1 cleavage-ligation activity; (iv) susceptibility of TOP1 to CPT; (v) activity of tyrosyl-DNA phosphodiesterase 1 (TDP1); (vi) cellular response to CPT (cellular viability); (vii) cellular doubling time (growth rate).

Methods

Cell culture

A collection of human breast carcinoma cell lines (n = 24) was obtained from the American Tissue Culture Collection (ATCC) (Manassas, VA). Cells were cultured according to ATCC’s guidelines. SUM149 was purchased from Asterand Inc. (Detroit, MI, USA). Among the BC cell lines investigated, one (MCF10A) represented a normal-like mammary epithelial cell line [45]. Four were from patients who had amplified human epidermal growth factor receptor 2 (HER2+), representing the HER2-positive subtype (HCC1419, HCC1954, HCC202, and SK-BR-3). The two cell lines, HCC202 and HCC1954, are characterized by the lack of hormone receptor expression, including both ER and PgR. HCC1419 and SK-BR-3 express ER or ER and PgR, respectively (see Additional file 1: Table S1 for the details). They are both stratified as HER2 amplified Luminal B subtype cell lines. Five were from tumors without HER2 amplification, representing the Luminal BC subtype (BT474, HCC1428, MCF7, T47D, and ZR-75-1). Fourteen (BT549, CAL51, HCC38, HCC70, HCC1143, HCC1937, HCC1599, MDA-157, MDA-231, MDA-453, MDA-436, MDA-468, SUM149, and SUM1315) cell lines were from patients diagnosed with TNBC. The cells were grown until 70% confluency before collection. Additional file 1: Table S1 contains information for all cell lines propagated including receptor, known mutation status, ki67 status (reflects proliferation rate), and TOP1 gene copy number [46]. Cellular growth rate was determined by measuring the average time required for a cell population to double in the log or exponential phase (i.e., during linear growth) [47]. All experiments were performed in duplicates.

Quantification of TOP1 level by WB

Cells were harvested and counted with a Bürker-Türk chamber (Sigma-Aldrich, Denmark A/S). Aliquots of cellular pellets were stored at − 80 °C. Cellular pellets were lysed in NuPAGE LDS loading buffer and NuPAGE sample-reducing agent, followed by incubation at 70 °C for 10 min. Then 50 μg/lane (104 cells) of protein extract was loaded onto NuPAGE Novex 4–12% Bis-Tris gels. Protein separation was performed in NuPAGE MOPS buffer containing NuPAGE antioxidant, according to the manufacturer’s instructions. WB was performed as described previously [48]. Resolved proteins were blotted onto Hybon-C nitrocellulose membranes (Amersham Biosciences, USA) and reacted with an hTOP1-specific rabbit antibody (1:2000; Epitomics, USA), followed by detection of immune complexes with a horseradish peroxidase-labeled polymer (1:200) (Envision+ detection kit; DAKO; Denmark). Blots were developed using the Amersham EC plus Western Blotting Detection Kit (GE Health/ Amersham Bioscience, VWR, Denmark), according to the manufacturer’s instructions. The blots were developed with mouse monoclonal anti-actin antibodies (1:2000; Santa Cruz, USA) as loading control. The intensities of TOP1 bands were normalized to the corresponding intensities of actin using PDQuest software (BioRad, USA) (see Additional file 1: Table S2). The quantification of TOP1 level by WB was performed based at both biological (× 2 times) and technical (× 2 times) replicates.

IHC analysis

IHC analysis was performed as previously described [49]. Five-μm sections were cut from formalin-fixed paraffin-embedded (FFPE) cell blocks prepared as described previously [50] and mounted on Super Frost Plus slides (Menzel-Gläser, Braunschweig, Germany), then baked at 60 °C for 60 min, deparaffinized, and rehydrated through graded alcohol rinses. Heat-induced antigen retrieval was performed by immersing the slides in Tris/EDTA pH 9.0 buffer (10 mM Tris, 1 mM EDTA) and heating them in a 750-W microwave oven for 10 min. Slides were then cooled at room temperature for 20 min and rinsed in tap water. Non-specific staining of slides was blocked (10% fetal calf serum in PBS buffer) for 15 min, and endogenous peroxidase activity was quenched with 0.3% H2O2 in methanol for 30 min. Antigen was detected with antibodies raised against synthetic peptide corresponding to the N-terminus residues of human TOP1 (1:100, Epitomics, USA) and then by species-matched secondary antibody conjugated to a horseradish-peroxidase polymer (Envision+; DAKO, Glostrup, Denmark). We also used ki67 monoclonal mouse antibodies (MIB1 clone, DAKO, Glostrup, Denmark) at 1:200 to evaluate the rate of proliferation. Finally, color development was evaluated with 3, 3′- diaminobenzidine (Pierce, IL, USA) as chromogen to detect bound antibody complex. Slides were counterstained with hematoxylin. Dilution, incubation, and development times were standardized for accurate comparison of expression levels in all cases. Normal rabbit sera was used instead of primary antibody as a negative control.

Reagents and enzymes

PrestoBlue reagent and Phi29 DNA polymerase were purchased from ThermoFisher Scientific. Streptavidin and all chemicals were purchased from Sigma-Aldrich, Denmark A/S.

Oligonucleotide substrates, primers, and probes

Oligonucleotides for construction of the S (hTopI) substrate, TDP1 substrate, and amino primer (p) were obtained from DNA Technology A/S, Aarhus, Denmark and synthesized using the 394 DNA synthesizer from Applied Biosystems. Oligonucleotide sequences were as follows:

  • S (TopI): 5’AGAAAAATTTTTAAAAAAACTGTGAAGATCGCTTATTTTTTTAAAAATTTTTCTAAGTCTTTTAGATC-CCTCAATGCACATGTTTGGCTCC-GATCTAAAAGACTT3’

  • RCA primer: 5′ Am-CCAACCAACCAACCAAATAAGCGATCTTCACAGT3’

  • TDP1 sensor: 6FAM-AAA GCA GGC TTC AAC GCA ACT GTG AAG ATC GCT TGG GTG CGT TGA AGC CTG CTT T-BHQ1, where 6FAM was attached to the DNA through a phosphothioate and to 3′BHQ1 through a phosphodiester linkage.

Preparation of nuclear extract

Cells were harvested at the exponential phase of growth by brief treatment with 0.05% trypsin solution (Sigma-Aldrich, Denmark A/S) and counted with a Bürker-Türk chamber (Sigma-Aldrich, Denmark A/S). Cells were then centrifuged (300×g), and cell pellets were frozen at − 80 °C. To prepare nuclear extracts (used in all REEAD experiments), cells were lysed in buffer B (0.1% NP-40, 10 mM Tris, pH 7.9, 10 mM MgCl2, 15 mM NaCl, 1 mM DTT) and 0.1 mM phenylmethylsulfonyl fluoride (PMSF) on ice for 10 min. Nuclei were then pelleted by centrifugation at 400×g for 10 min. Pelleted nuclei were extracted by addition of 100 μl nuclear extraction buffer (0.5 M NaCl, 20 mM HEPES, pH 7.9, 20% glycerol, 1 mM DTT, and 0.1 mM PMSF), followed by rotation for 1 h at 4 °C [51]; fresh PMSF was added every 15 min. Cell debris was removed by centrifugation at 9000×g for 10 min at 4 °C.

Detection of TOP1 activity by REEAD assay

The REEAD assay was performed essentially as previously described [26, 52] TOP1 reactions were carried out in a 10-μL reaction volume containing divalent cation depletion buffer (10 mM Tris-HCl, pH 7.5, 5 mM EDTA, and 50 mM NaCl). Reaction mixtures were supplemented with 500 nM S (TopI) DNA substrate. Reactions were initiated by the addition of 1 μL of nuclear extract (obtained from the same cell samples used for quantification of TOP1 protein level by WB) or purified TOP1 (previously prepared and used for all experiments as positive control). Incubation was continued for 30 min at 37 °C before heat inactivation of enzymes present in the reaction mixture for 5 min at 95 °C. Circularized closed circles were then incubated with 5 μM of primer and 5 units of Phi29 polymerase in Phi29 buffer, in the presence of 0.1 mM dNTP with 10% biotinylated dCTP and alpha P32 dATP. After 2 h at 37 °C, 7.5 μg of streptavidin was added, and reactions were blotted on a nitrocellulose membrane already soaked in blotting buffer (25 mM Tris-HCl, 192 mM glycine, 0.1% SDS, pH approx. 8.6, 10% EtOH buffer). Membranes were washed 3 × 10 minutes with wash buffer 1 (20 mM Tris-HCl pH 7.5, 50 mM NaCl, 0.2% Tween20) and 3 × 10 minutes with wash buffer 2 (0.30 M NaCl, 0.030 M trisodium citrate). After 5′ minutes of air-dry, the membrane was exposed in a Phosphorimager cassette overnight. Intensity of the radioactive dots was quantified using QuantityOne software. For all cell lines, TOP1 activity was normalized to activity of purified TOP1 circles and protein concentration in nuclear extracts as determined with Bradford’s protocol Results were plotted as average of three independent experiments using GraphPad Prism Software.

Cell viability assay

Cell viability after CPT treatment was determined with PrestoBlue cell viability reagent (Invitrogen), according to the manufacturer’s instructions. A 20 mM stock of CPT was prepared in DMSO; all working dilutions were prepared in cell media. Cells (amount determined by growth rate) were seeded with 100 μl growth medium into 96-well flat-bottom plates (Corning, Inc., Corning, NY) and incubated for 24 h. After 24 h, cell media were replaced with medium alone, medium with DMSO, or medium with CPT (concentration ranging from 0.1 μM to 5 μM). Untreated cells, cells incubated with DMSO, and cells treated with CPT (12 wells per treatment) were incubated for 72 h. At the end of treatment, 10 μl of PrestoBlue cell viability reagent was added. Samples were then incubated for 4 h in the dark at 37 °C. Fluorescence emission was measured at 540-nm excitation/590-nm emission using FLUOstar OPTIMA microplate reader (BMG Labtech, Ortenberg, Germany). DMSO concentration was corrected to 0.5% in all wells. After background subtraction, fluorescence values were normalized to the highest fluorescence measured in any well, which corresponded to the value for the cell well without treatment. Data were plotted as mean (12 wells) ± SD values using GraphPad Prism Software.

CPT susceptibility of TOP1 in nuclear cell extract

Sensitivity of TOP1 to CPT in nuclear cell extracts was measured by REAAD and analyzed as a radiolabeled-dot-blot readout, as described for the measurement of TOP1 activity. Nuclear cell extract was prepared as mentioned above and incubated in cation-depletion buffer without S (TopI) (in DMSO as a positive control) or with CPT (15 μM, 30 μM, or 60 μM), as stated in Additional file 1: Figure S8. Samples that did not contain nuclear extract were used as negative control. The reactions were carried out for 10 min at room temperature, then stopped at 95 °C for 5 min. Circularized closed circles were then incubated with primer, amplified by rolling circle amplification, and blotted on a nitrocellulose membrane, as stated above. Intensity of the radiolabeled dots was normalized to the intensity of DMSO dots for each cell line. Plotted results represent mean ± SD. TOP1 susceptibility to CPT was investigated in selected cell lines at the highest concentration of inhibitor (− 60 μM), as depicted in Fig. 4a.

TDP1 activity

TDP1 activity measurements were carried out using a final concentration of 0.5 μM TDP1-sensor in a volume of 25 μL containing 1xTDP1 buffer (20 mM Tris– HCl pH 8, 100 mM KCl, 10 mM EDTA, 10 mM DTT, and 0.05% Triton X-100) supplemented with a dilution series of cell extract. Reactions were carried out at 37 °C in a real-time PCR machine; fluorescence intensity was measured every 30 s. Data were imported into Excel, and slope during the linear phase (here 15–30 min) was calculated for each dilution of cell extract. Purified TDP1 [53] was used as positive control.

Statistical analysis

Data were analyzed using GraphPad Prism software and expressed as mean ± SD. Linear regression was performed, and correlation analysis was conducted with Spearman’s correlation test.

Results

TOP1 protein expression and gene amplification

Quantitative western blot (WB) was performed to measure relative protein expression of TOP1 across the panel of cell lines representing the major breast tumor subtypes (Fig. 1a-b, Additional file 1: Table S2). We sought to determine whether TOP1 protein expression correlated with TOP1 amplification, as previously observed [46]. The cell panel used in our study consists of a MCF10A cell line representing non-tumorigenic breast epithelial cells and cell lines that originated in patients bearing Luminal (5 cell lines), HER2 (4 cell lines), or TNBC (14 cell lines) tumors. As seen from the data shown in Fig. 1a-b, relative protein expression of TOP1 varied strongly across cell lines, even lines representing the same BC subtype. The results of immunohistochemistry (IHC) staining showed near-exclusive intracellular localization of TOP1 within nuclei (Fig. 1c and Additional file 1: Figure S1).

Fig. 1
figure1

Quantitative analysis of TOP1 protein expression and TOP1 gene amplification across BC cell lines. a Western blot images. Blots were developed first with antibodies against TOP1 and then with anti-actin antibodies. BC cell line subtypes are indicated at the tops of the images. b The graph shows normalized data from (a). TOP1 protein levels in various BC cell lines were normalized to actin levels (see Methods). The arrows indicate TOP1 copy number in each cell line with amplification [46]. BC cell line subtype-based classification is indicated by bars and by colors: black – normal-like MCF10A cell line; yellow - Luminal subtype; blue - HER2 amplified, and orange - TNBC subtype. c Representative IHC images show TOP1 expression across BC cell lines. IHC sections (× 20 magnification) are placed in the same order as in a and b. For details, see magnified images (× 40) of nuclear TOP1 IHC staining of all BC cell lines analyzed in Additional file 1: Figure S1

Full size image

TOP1 was amplified in two of five Luminal cell lines tested, in one of four HER2 cell lines, and in nine of 14 TNBC cell lines (Fig. 1b; cell lines with gene amplification are indicated with arrows). The Luminal MCF7 cell line, in which TOP1 is amplified threefold, is characterized by an increase in TOP1 protein expression of approximately twofold, compared with levels observed in the HCC1428, BT474, and T47D cell lines (Fig. 1b). However, the association observed for these three cell lines of Luminal subtype cannot be considered as strong evidence that elevated TOP1 expression is caused solely by gene amplification. Indeed, among cell lines of the Luminal subgroup, the ZR751 cell line exhibited the lowest level of TOP1 protein expression, with TOP1 copy number similar to that observed in MCF7. Spearman correlation analysis of a linear regression performed for all Luminal cell lines did not reveal any correlation between TOP1 protein expression and TOP1 copy number (R2 = 0.1169, p (one tailed) = 0.2535, Additional file 1: Figure S2).

The two other groups of cell lines, representing subtypes HER2 and TNBC, respectively, also failed to reveal a significant correlation between TOP1 gene status and protein expression of TOP1 (R2 = 0.007914, p (one tailed) = 0.4555, Additional file 1: Figure S3; R2 = 0.04378, p (one tailed) = 0.2364, Additional file 1: Figure S4, respectively). Among the HER2 cell lines, HCC202 showed the highest level of TOP1 protein expression, without any TOP1 amplification. HCC1419, which had the highest TOP1 copy number (5.5), exhibited approximately the same level of TOP1 protein expression as HCC1954, without amplification of the TOP1 gene. The lack of correlation between TOP1 copy number and amount of TOP1 protein expressed also applied to the TNBC subtype. Overall, our data clearly demonstrated high variability in TOP1 expression levels across BC cell lines and the absence of a significant correlation between TOP1 copy number and protein expression. Interestingly, some of the cancer cell lines appeared to be characterized by a lower TOP1 protein amount than the normal like MCF10A cell line. This could rise questions to the rationale of using TOP1 as a target in cancer treatment. However, here it is important to remember, 1) it is the TOP1 activity and CPT susceptibility that the determine the number of TOP1cc generated, 2) it is the conversion of TOP1cc to lethal DNA damage that determine the cytotoxicity of CPT. These factors may not necessarily depend on TOP1 protein amount per se.

TOP1 enzymatic activity

To identify a presumptive association between TOP1 protein expression and intracellular enzymatic activity among cell lines representing three BC subtypes, the latter was measured in nuclear extracts with REEAD [52]. This technique provides a highly sensitive and quantitative measurement of enzymatic activity in whole-cell or nuclear extracts by specifically monitoring the cleavage-ligation step that is the critical target for CPT interference.

Figure 2 shows the levels of TOP1 enzymatic activity, in relation to corresponding TOP1 protein levels (see Fig. 1a-b as reference), across 21 cell lines. Spearman correlation analysis of a linear regression of the data presented in Fig. 2 revealed a significant correlation between enzymatic activity and protein TOP1 expression in Luminal-type (R2 = 0.6093, p = 0.0335; Additional file 1: Figure S5) as well as TNBC-like cell lines (R2 = 0.4392, p = 0.0094; Additional file 1: Figure S6). No correlation between TOP1 protein expression and activity levels was observed in HER2 cell lines (R2 = 0.6488, p = 0.2019; Additional file 1: Figure S7). However, this could be due to the limited number of HER2 cell lines available for analysis.

Fig. 2
figure2

Comparative analysis of cleavage-ligation TOP1 activity and corresponding protein level. Bar-charts show TOP1 activity (lined bars) in nuclear extracts obtained from each cell line as measured by REEAD and TOP1 protein level (full bars) as determined by western blot (see Fig. 1b). TOP1 activity is shown as an average of three independent experiments. The order of cell line distribution across the “X” axis is the same as in Fig. 1. Yellow - Luminal; blue - HER2; orange - TNBC

Full size image

Measurement of the cellular response to CPT

To address whether intracellular TOP1 activity correlates with the cellular response to CPT, we selected a subset of cell lines representing each BC subtype for viability studies. When choosing cell lines, we were guided by the criterion of diversity. Hence, cell lines with high or low TOP1 activity level, as determined in Fig. 2 (“high” = densitometric intensity > 350, “low” = densitometric intensity < 100 units) were selected. The cell lines selected were as follows: Luminal subtype MCF7 (high TOP1 activity), HCC1428 (low TOP1 activity), HER2 subtype HCC1419 (high TOP1 activity), and HCC202 (low TOP1 activity). Since none of the TNBC cell lines analyzed in this study showed high TOP1 enzymatic activity (see Fig. 2), we selected four TNBC cell lines with diverse levels of TOP1 activity, ranging from 110 to 20 densitometric intensity units (MDA453, MDA231, Sum149, and BT549). CPT sensitivity was measured using a standard survival assay based on the treatment of cells with concentrations of CPT ranging from 0.1 μM to 5 μM for 72 h, followed by staining with PrestoBlue (Thermofisher Scientific) [26, 54]. Untreated cells as well as cells treated with DMSO (solvent used for CPT) were included in the experiment as positive controls (see Methods). The results are presented in Fig. 3. Half-maximal inhibitory concentrations (IC50) were estimated using GraphPad Prism software (Table 1).

Fig. 3
figure3

The response to CPT among eight selected cell lines with various levels of TOP1 enzyme activity. The cell lines indicated were treated with DMSO (as baseline control) or increasing concentrations of CPT (0.1 to 5 μM). Cellular viability was then measured using PrestoBlue reagent. The viability of the cells in absence of any treatment was included as positive control (Pos). Fluorescence signals were normalized to the positive control in each cell line, as described in Materials and Methods. Data plotted are mean (N = 12) ± SD. a Luminal subtype cell lines, b HER2 subtype cell lines, c TNBC subtype cell lines

Full size image
Table 1 Gene copy number, cellular viability and TOP1 enzymatic activity in selected cell lines
Full size table

The two cell lines with high TOP1 enzymatic activity [MCF7 (Luminal subtype) and HCC1419 (HER2 subtype)] showed high sensitivity toward CPT treatment, exhibiting an IC50 of 0.089 ± 0.017 μM and 0.067 ± 0.010 μM, respectively. Cell lines with low TOP1 activity [HCC1428 (Luminal subtype) and HCC202 (HER2 subtype)] exhibited greater resistance to the drug, with IC50 of 0.448 ± 0.054 μM and 0.481 ± 0.060 μM, respectively (Table 1). These results show a direct correlation between TOP1 activity and cellular response to CPT in cell lines from the Luminal and HER2 subtypes. However, the significance of the correlation could not be confirmed due to the limited number of samples available for Spearman analysis. The observed correlation is in agreement with the CPT’s mechanism of action [17, 55]. Cell lines derived from the TNBC subtype, however, did not appear to follow this pattern. Cell lines derived from the TNBC subtype had low TOP1 enzymatic activity and showed high sensitivity toward CPT, with IC50 < 0.07 μM (Table 1). Spearman correlation applied to the entire group of selected cell lines without regard to their subtype did not show a significant correlation between cellular response to CPT and TOP1 enzymatic activity level (data not shown). It is worthwhile to note, however, that all TNBC cell lines were characterized by high CPT sensitivity, regardless of the mechanism behind this sensitivity.

TOP1 susceptibility toward CPT and TDP1 activity in BC cell lines

In addition to TOP1 activity, the drug susceptibility of the enzyme itself can influence cellular sensitivity to CPT. The susceptibility of TOP1 toward CPT was estimated by measuring TOP1 activity in nuclear extracts prepared from the eight cell lines selected in the presence of 60 μM CPT, using the REEAD assay. Note that CPT susceptibility as measured in terms of inhibition of the (nuclear-extracted) TOP1 re-ligation activity is not dependent on TOP1 activity per se (previously measured, see Fig. 2). The results are graphically depicted in bar-charts in Fig. 4a as the ratio of REEAD signal obtained in the presence of 60 μM CPT relative to the REEAD signal obtained in the presence of DMSO. The results of similar analyses performed with titration of CPT are shown in Additional file 1: Figure S8).

Fig. 4
figure4

Susceptibility of TOP1 cleavage-ligation to CPT and TDP1 in nuclear extracts for eight selected BC cell lines. a Efficiency of the TOP1 cleavage-ligation step was measured in nuclear extracts isolated from selected cultured cells after incubation with DMSO (control) or 60 μM CPT using the REEAD assay. Intensity of the REEAD signal obtained when measuring TOP1 activity in the presence of CPT was normalized to the signal obtained in DMSO for each cell line (REEAD signal in CPT/REEAD signal in DMSO). Results were plotted as mean ± SD (four independent experiments). Yellow bars - Luminal cell lines; blue bars - HER2 cell lines; orange bars - TNBC cell lines. b Bar charts of TDP1 activity measured in cell extracts from selected cell lines. TDP1 activity measured in terms of fluorescence signals was plotted as average ± SD (three independent experiments). Yellow bars - Luminal cell lines; blue bars - HER2 cell lines; orange bars - TNBC cell lines

Full size image

As seen from the bar-charts (Fig. 4a and Additional file 1: Figure S8), analysis of nuclear extracts revealed no significant difference among cell lines in terms of TOP1 susceptibility toward CPT. The level of TOP1 activity observed at even the highest concentration used (60 μM) of CPT varied from 60 to 80% relative to the DMSO control. These results demonstrate that all cell lines analyzed in this experiment are characterized by approximately the same degree of enzyme susceptibility to the drug. We found no significant correlation between TOP1 susceptibility toward CPT and the cellular response to CPT (cellular viability, data not shown).

Another potential molecular determinant of cellular response to CPT is the ability of the cellular machinery to repair DNA damage induced by CPT. TDP1 is a key enzyme that participates in the removal and repair of TOP1cc in human cells [30]. To assess a possible association between the cellular response to CPT and TDP1 activity, the latter was measured in nuclear extracts of selected cell lines using a real-time DNA sensor assay previously developed by our group ([53], Fig. 4b). Since TDP1 repairs CPT-induced DNA damage, a reverse correlation between cellular response to CPT and TDP1 activity was expected. However, we did not observe such a correlation. In fact, TDP1 activity varied strongly among cell lines. Hence, TDP1 activity alone cannot explain the differential CPT sensitivity of the BC cell lines investigated.

Correlation between cellular response to CPT and cellular growth rate

As mentioned above, TOP1cc stabilized by CPT are converted to permanent double-strand DNA breaks by collision with replication forks [18]. Consequently, it can be assumed that fast-dividing cells may be more drug sensitive than slowly dividing cells. We therefore investigated whether the differential drug responses observed in BC cell lines correlated with cellular growth rate. The latter parameter was evaluated by measuring doubling time, i.e., the average time it takes a cell population to double during the log-phase, as described elsewhere [47]. The results are shown in the table in Fig. 5a and plotted in Fig. 5b. Using the IC50 parameter, we found a significant direct correlation between growth rate and cellular response to CPT in all cell lines investigated (Fig. 5c: R2 = 0.8771, p (one tailed) = 0.0003). Hence, all four TNBC-like cell lines (MDA453, MDA231, BT549, SUM149) had a high growth rate (Fig. 5) and were very sensitive to CPT (low IC50, Figs. 3c and 5c). The same trend was also observed in Luminal and HER2 cell lines (Fig. 5c). The MCF7 (Luminal) and HCC1419 (HER2) cell lines that exhibited a strong response to CPT (low IC50, Figs. 3a, b and 5c) divided much faster than counterparts with low sensitivity to CPT (high IC50; HCC1428 and HCC202) (Figs. 3a, b and 5c).

Fig. 5
figure5

Growth rate for eight cell lines and correlation between growth rate and IC50. a Table shows the estimated growth rate and doubling time for Luminal cells (MCF7 and HCC1428), HER2 subtype (HCC1419 and HCC202), and TNBC subtype (MDA453, MDA231, SUM149, and BT549). Cellular doubling time was determined by evaluation of the time that it takes for a cell population to double during the log-phase phase (i.e., during linear growth). b Graphical depiction of cellular proliferation over time. The number of cells measured at each time point (x-axis) is specified at the y -axis. c Graphical depiction of the correlation between IC50 and growth rate (k). Yellow dots - Luminal cell lines; blue dots - HER2 cell lines; orange dots - TNBC cell liness

Full size image

Discussion

The issues that spurred our study included the limited number of drugs currently available in clinical practice for effective and personalized therapy of multiple BC subtypes and development of acquired resistance to treatment. The aim was to provide detailed insight into CPT drug susceptibility across cell lines representing major types of BC. CPT associated derivatives that target TOP1 are currently applied as second or third lines of treatment for endocrine resistant BC patients. As mentioned, CPT acts by leading to the accumulation of TOP1cc. Such damage is lethal when encountered by a replication fork [18]. The efficiency and cytotoxic effect of the CPT may be regulated by other means than TOP1 expression and activity. Hence, the large variation in CPT response rates observed in small and non-randomized trials for BC may be due, at least in part, to a lack of reliable selective parameters for patient stratification [56].

BC cell lines provide unlimited homogeneous material for modelling studies designed to investigate disease pathobiology as well as to identify novel targets for therapeutic intervention. In the present study, we evaluated TOP1 status in a representative panel of cell lines derived from three main BC subtypes (Luminal, HER2, and TNBC). The aim was to investigate possible associations of cellular response to CPT with various cellular and molecular factors, including TOP1 copy number, TOP1 protein expression, enzyme activity, TOP1 susceptibility to CPT, TDP1 activity, and cellular growth rate. The results are summarized in Additional file 1: Table S3.

It has been shown that a gain of the TOP1 gene is common in patients with BC and is often considered as a potential biomarker of response to treatment with TOP1 inhibitors [39, 57, 58]. In our study, TOP1 was found to be amplified in two of five Luminal cell lines, one of four HER2 cell lines, and nine of 14 TNBC-like cell lines ([46] Fig. 1). Our data showed high variability in levels of TOP1 protein across all analyzed BC cell lines. However, the results obtained did not indicate a significant correlation between protein level and TOP1 copy number, as was estimated by Spearman analysis for the three individual groups of BC cell lines (Fig. 1, Additional file 1: Figures S2-S4). The lack of a significant association between gene copy number and protein level observed in the present study contrasts with results reported previously by McLeod and Keith, who analyzed four BC cell lines (MCF7, ZR751, MDA231, and MDA436). The authors reported a significant relationship between TOP1 copy number and protein level [35]. This inconsistency may reflect the small number of cell lines analyzed by McLeod and Keith (three cell lines with amplification of the TOP1 locus and a single cell line without TOP1 amplification). Jandu and co-authors reported a putative association between TOP1 protein level and gene copy number in nine BC cell lines, but it was not possible to determine the significance of this presumptive correlation, because the level of TOP1 protein expression was evaluated by eye rather than by quantitative densitometry [46]. In general, variations in protein expression of TOP1 in BC cell lines may be caused by amplification of the TOP1 locus or by other aspects of cell metabolism. Current data regarding TOP1 gene status in breast tumor tissue are rather controversial. An investigation of TOP1 gene copy number (including 1033 cases) based on use of the The Cancer Genome Atlas (TCGA) portal revealed that only 2% of breast tumors exhibited increased TOP1 copy number [57]. However, FISH analysis of cancer cells showed a much higher proportion of TOP1 amplification (> 30% of BC patients had gene copy numbers > 4). This discrepancy in the overall analysis of gene copy number may be explained by a dilution effect caused by the presence of normal stromal cells [57]. The question of the extent to which the gene status of BC cell lines can simulate the situation in tumor tissue remains problematic and requires further investigation. In addition, it should be mentioned that any cellular model system that is used for the search of parameters that reflect intra-cellular drug responsiveness is unable to reproduce the whole complexity of a human tumor and to predict potential impact of intra-tumor heterogeneity that plays an essential role in tumor development and drug responsiveness. Those factors, i.e. the presence of multiple clones within a single tumor or multiple cell types presented within tumor microenvironment, would be especially essential in TNBC tumors that are often characterized by high degree of complexity and clonal heterogeneity [12].

We observed a direct association between protein level and cleavage-ligation activity of TOP1 in Luminal and TNBC-like subtypes but not for the HER2 subtype. The lack of a significant correlation for HER2-like cells may be partially explained by the small number of cell lines of this subtype available for experimentation or, alternatively, by specific cellular metabolic features associated with HER2 amplification [59].

Given the labor-intensity of experiments involving the analysis of multiple parameters (cellular response to CPT, susceptibility of TOP1 to CPT, analysis of TDP1 activity, and cellular growth rate) across numerous cell lines, we selected eight cell lines that represented three main BC subtypes. A Spearman correlation test applied to all cell lines investigated showed that there was no correlation between TOP1 gene copy number, protein expression, enzyme activity, and CPT-induced cytotoxicity. This is in contrast to results obtained from cell lines originating from tumors other than breast cancer, which demonstrated a direct correlation between TOP1 gene copy number and IC50 [60,61,62]. However, data published by other groups on BC-derived cell lines are conflicting [35, 46]. For cell lines derived from Luminal and HER2 subtypes, we did see a correlation between TOP1 activity and CPT-induced cytotoxicity, but our data were insufficient for statistical analysis. Further studies on a broader panel of Luminal and, in particular, HER2 cell lines are required to confirm a correlation between the parameters measured. However, such a study could be hindered by the limited number of BC cell lines (especially HER2-subtype lines) that have been generated and properly characterized to date [44].

In addition to the TOP1 activity, drug susceptibility of the enzyme itself may influence cellular sensitivity to CPT [19, 55]. We previously demonstrated a direct correlation between CPT susceptibility to TOP1 and the cellular drug response in two subpopulations of colon cancer-derived Caco2 cells [26]. All eight BC cell lines analyzed in this study showed, however, similar TOP1 susceptibility toward the drug and we did not find a significant correlation between the CPT susceptibility of TOP1 and the cellular response to CPT (cellular viability).

TDP1 is an enzyme that catalyzes the repair of several types of DNA damage, including CPT-induced DNA damage [29, 63]. Consequently, a reverse correlation between cellular response to CPT and TDP1 activity can be expected. However, comparison of selected cell lines did not reveal a significant correlation between these parameters (data not shown). Therefore, TDP1 activity cannot explain the differential CPT sensitivity observed among BC cell lines. Most likely, the effect of TDP1 activity cannot be regarded as a single factor, and several repair pathways complement TDP1 activity [64]. Investigations of all possible repair pathways were not within the scope of the current study.

It is well established that when a replication fork is encountered by CPT-stabilized TOP1cc, DNA fragmentation and cell death follow. It can be assumed that rapidly dividing cells are more drug sensitive than slowly dividing cells. We therefore investigated whether the differential drug response observed among the cell lines analyzed correlated with growth rate. When dividing the cell lines into two broad categories slow growing (double time above 89 h) and fast growing (doubling time below 34 h) we identified a direct association between the rate of cell division and sensitivity to CPT. This finding is in agreement with previous studies reporting that the cell-killing mechanism of CPT is S-phase dependent [23, 65]. Our results are also consistent with a recently published study showing that BC cell lines with acquired or de novo resistance to the CPT derivative SN-38 had significantly (p < 0.05) lower growth rates, when compared to their parental and DMSO controls [46].

It is striking to note that four of the cell lines (MDA453, MDA231, BT549, SUM149) characterized by a high growth rate and high CPT sensitivity have low TOP1 activity. This may suggest off target effects of CPT, but is more likely explained by the fact that the cytotoxicity of CPT depend on collision of replication forks with CPT induced TOP1cc resulting in the generation of lethal DNA damage. It is possible that in very fast-growing cells even a low activity of TOP1 is sufficient to generate sufficient TOP1cc in the presence of CPT for efficient cell killing. Indeed, in cells with defect repair pathways, which is a key mark of cancer cells, even a single TOP1cc at the right place and time may kill the cells [66]. Hence, the observed results may very well be accommodated in the current model of replication depended cytotoxicity of CPT.

Conclusions

Taken together, our results suggest that TOP1 gene copy number is a poor indicator for CPT response in BC cell lines. More comprehensive studies are needed to confirm this hypothesis for each breast cancer subtype. Indeed, for cell lines derived from the HER2 and Luminal subtypes, our data point to a putative direct correlation between gene copy number, TOP1 activity, and cellular sensitivity to CPT, suggesting that TOP1 at either the genomic or enzymatic level may be a predictive marker for response to CPT in these BC subtypes. For all BC subtypes, there is a direct correlation between growth rate and cellular response to CPT. Collectively, our results suggest that more aggressive and quickly dividing malignant tumors may be targeted more effectively by CPT. The extremely powerful response of cell lines derived from TNBC tumors treated with CPT appears promising, suggesting that it may be worthwhile to investigate the possibility of treating patients with this subtype of BC with CPT derivatives.

Availability of data and materials

The data analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BC:

Breast cancer

ER:

Estrogen receptor

FFPE:

Formalin-fixed paraffin-embedded

IHC:

Immunohistochemistry

PgR:

Progesterone receptor

REEAD:

Rolling circle enhanced enzyme activity detection

TNBC:

Triple-negative breast cancer

References

  1. 1.

    Bray F, Ferlay J, Soerjomataram I, Siegel RL, Torre LA, Jemal A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394–424 American Cancer Society.

    Google Scholar 

  2. 2.

    Brystkræft. Kræftensbekæmpelse [Internet]. Available from: https://www.cancer.dk/brystkraeft-mammacancer/statistik-brystkraeft/.

  3. 3.

    Perou CM, Sùrlie T, Eisen MB, Van De Rijn M, Jeffrey SS, Rees CA, et al. Molecular portraits of human breast tumours. Nature. 2000;406:747–52.

    CAS  PubMed  Article  Google Scholar 

  4. 4.

    Prat A, Perou CM. Deconstructing the molecular portraits of breast cancer. Mol Oncol. 2011;5:5–23.

    CAS  PubMed  Article  Google Scholar 

  5. 5.

    Ellsworth RE, Blackburn HL, Shriver CD, Soon-Shiong P, Ellsworth DL. Molecular heterogeneity in breast cancer: state of the science and implications for patient care. Semin Cell Dev Biol. 2017;64:65–72 Elsevier Ltd.

    CAS  PubMed  Article  Google Scholar 

  6. 6.

    Early Breast Cancer Trialists’ Collaborative Group (EBCTCG). Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials early. Lancet. 2005;365:1687–717.

    Article  CAS  Google Scholar 

  7. 7.

    Piccart-Gebhart M, Procter M, Leyland-Jones B, Goldhirsch A, Untch M. I S, et al. Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer. N Engl J Med. 2005;353:1659–72.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  8. 8.

    Romond EH, Perez EA, Bryant J, Suman VJ, Geyer CE, Davidson NE, et al. Trastuzumab plus adjuvant chemotherapy for operable HER2-positive breast cancer. N Engl J Med. 2005;353:1673–84.

    CAS  Article  Google Scholar 

  9. 9.

    Anders CK, Carey LA, Frazier DP, Kendig RD. Biology, metastatic patterns, and treatment of patients with triple-negative breast cancer. Clin Breast Cancer. 2009;9:73–81.

    Article  CAS  Google Scholar 

  10. 10.

    Chu KC, Anderson WF. Rates for breast cancer characteristics by estrogen and progesterone receptor status in the major racial/ethnic groups. Breast Cancer Res Treat. 2002;74:199–211.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Iwase H, Kurebayashi J, Tsuda H, Ohta T, Kurosumi M, Miyamoto K, et al. Clinicopathological analyses of triple negative breast cancer using surveillance data from the registration committee of the Japanese Breast Cancer Society. Breast Cancer. 2010;17:118–24.

    PubMed  Article  Google Scholar 

  12. 12.

    Foulkes WD, Smith IE, Reis-Filho JS. Triple-negative breast cancer. N Engl J Med. 2010;363:1938–48.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Haffty BG, Yang Q, Reiss M, Kearney T, Higgins SA, Weidhaas J, et al. Locoregional relapse and distant metastasis in conservatively managed triple negative early-stage breast cancer. J Clin Oncol. 2006;24:5652–7.

    PubMed  Article  Google Scholar 

  14. 14.

    Doughty JC. A review of the BIG results: the breast international group 1-98 trial analyses. Breast. 2008;17:9–14.

    Article  Google Scholar 

  15. 15.

    Irshad S, Ellis P, Tutt A. Molecular heterogeneity of triple-negative breast cancer and its clinical implications. Curr Opin Oncol. 2011;23:566–77.

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Cobleigh MA. Other options in the treatment of advanced breast Cancer. Semin Oncol. 2011;38:S11–6.

    PubMed  Article  Google Scholar 

  17. 17.

    Pommier Editor Y. In: Press H, editor. DNA topoisomerases and cancer; 2011.

    Google Scholar 

  18. 18.

    Pommier Y. Topoisomerase I inhibitors: camptothecins and beyond. Nat Rev Cancer. 2006;6:789–802.

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Pommier Y. Drugging topoisomerases: lessons and challenges. ACS Chem Biol. 2013;8(1):82–95.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Champoux JJ. DNA topoisomerases: structure, function, and mechanism. Annu Rev Biochem. 2001;70:369–413.

    CAS  PubMed  Article  Google Scholar 

  21. 21.

    Pommier Y, Marchand C. Interfacial inhibitors: targeting macromolecular complexes. Nat Rev Drug Discov. 2012;11:25–36.

    CAS  Article  Google Scholar 

  22. 22.

    Seol Y, Zhang H, Pommier Y, Neuman KC. A kinetic clutch governs religation by type IB topoisomerases and determines camptothecin sensitivity. Proc Natl Acad Sci U S A. 2012;109:16125–30.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  23. 23.

    D’Arpa P, Beardmore C, Liu LF. Involvement of nucleic acid synthesis in cell killing mechanisms of topoisomerase poisons. Cancer Res. 1990;50:6919–24.

    PubMed  Google Scholar 

  24. 24.

    Pommier Y, Kerrigan D, Hartman KD, Glazer RI. Phosphorylation of mammalian DNA topoisomerase I and activation by protein kinase C. J Biol Chem. 1990;265:9418–22.

    CAS  PubMed  Google Scholar 

  25. 25.

    Bandyopadhyay K, Gjerset RA. Protein kinase CK2 is a central regulator of topoisomerase I hyperphosphorylation and camptothecin sensitivity in cancer cell lines. Biochemistry. 2011;50:704–14.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Roy A, Tesauro C, Frøhlich R, Hede MS, Nielsen MJ, Kjeldsen E, et al. Decreased camptothecin sensitivity of the stem-cell-like fraction of Caco2 cells correlates with an altered phosphorylation pattern of topoisomerase I. PLoS One. 2014;9:e99628 Leng F, editor.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  27. 27.

    Bandyopadhyay K, Lee C, Haghighi A, Banères JL, Parello J, Gjerset RA. Serine phosphorylation-dependent coregulation of topoisomerase I by the p14ARF tumor suppressor. Biochemistry. 2007;46:14325–34.

    CAS  PubMed  Article  Google Scholar 

  28. 28.

    Bandyopadhyay K, Li P, Gjerset RA. The p14ARF alternate reading frame protein enhances DNA binding of topoisomerase I by interacting with the serine 506-phosphorylated core domain. PLoS One. 2013;8:e58835.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  29. 29.

    Beretta GL, Cossa G, Gatti L, Zunino F, Perego P. Tyrosyl-DNA phosphodiesterase 1 targeting for modulation of camptothecin-based treatment. Curr Med Chem. 2010;17:1500–8.

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    Pommier Y, Huang SN, Gao R, Das BB, Murai J, Marchand C. Tyrosyl-DNA-phosphodiesterases (TDP1 and TDP2). DNA Repair (Amst). 2014;19:114–29.

    CAS  Article  Google Scholar 

  31. 31.

    Ataka M, Ikeguchi M, Yamamoto M, Inoue M, Oka S, Katano K. Topoisomerase I protein expression and prognosis of patients with colorectal cancer. Yonago Acta Med. 2007;50:81–7.

    Google Scholar 

  32. 32.

    Braun MS, Richman SD, Quirke P, Daly C, Adlard JW, Elliott F, et al. Predictive biomarkers of chemotherapy efficacy in colorectal cancer: results from the UK MRC FOCUS trial. J Clin Oncol. 2008;26:2690–8.

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Liao Z, Robey RW, Guirouilh-Barbat J, To KKW, Polgar O, Bates SE, et al. Reduced expression of DNA topoisomerase I in SF295 human glioblastoma cells selected for resistance to homocamptothecin and diflomotecan. Mol Pharmacol. 2008;73:490–7.

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Burgess DJ, Doles J, Zender L, Xue W, Ma B, McCombie WR, et al. Topoisomerase levels determine chemotherapy response in vitro and in vivo. Proc Natl Acad Sci U S A. 2008;105:9053–8.

    PubMed  PubMed Central  Article  Google Scholar 

  35. 35.

    McLeod HL, Keith WN. Variation in topoisomerase I gene copy number as a mechanism for intrinsic drug sensitivity. Br J Cancer. 1996;74:508–12.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. 36.

    Horisberger K, Erben P, Muessle B, Woernle C, Stroebel P, Kaehler G, et al. Topoisomerase I expression correlates to response to neoadjuvant irinotecan-based chemoradiation in rectal cancer. Anti-Cancer Drugs. 2009;20:519–24.

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Rømer MU, Jensen NF, Nielsen SL, Müller S, Nielsen KV, Nielsen HJ, et al. TOP1 gene copy numbers in colorectal cancer samples and cell lines and their association to in vitro drug sensitivity. Scand J Gastroenterol. 2012;47:68–79.

    PubMed  Article  CAS  PubMed Central  Google Scholar 

  38. 38.

    Kostopoulos I, Karavasilis V, Karina M, Bobos M, Xiros N, Pentheroudakis G, et al. Topoisomerase I but not thymidylate synthase is associated with improved outcome in patients with resected colorectal cancer treated with irinotecan containing adjuvant chemotherapy. BMC Cancer. 2009;9:339.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  39. 39.

    Kümler I, Brünner N, Stenvang J, Balslev E, Nielsen DL. A systematic review on topoisomerase 1 inhibition in the treatment of metastatic breast cancer. Breast Cancer Res Treat. 2013;138:347–58.

    PubMed  Article  CAS  Google Scholar 

  40. 40.

    Beretta GL, Perego P, Zunino F. Targeting topoisomerase I: molecular mechanisms and cellular determinants of response to topoisomerase I inhibitors. Expert Opin Ther Targets. 2008;12:1243–56.

    CAS  PubMed  Article  Google Scholar 

  41. 41.

    Beretta GL, Gatti L, Perego P, Zaffaroni N. Camptothecin resistance in cancer: insights into the molecular mechanisms of a DNA-damaging drug. Curr Med Chem. 2013;20:1541–65.

    CAS  PubMed  Article  Google Scholar 

  42. 42.

    Kao J, Salari K, Bocanegra M, Choi Y-L, Girard L, Gandhi J, et al. Molecular profiling of breast cancer cell lines defines relevant tumor models and provides a resource for cancer gene discovery. Blagosklonny M V., editor. PLoS One. 2009;4:e6146.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  43. 43.

    Cope LM, Fackler MJ, Lopez-Bujanda Z, Wolff AC, Visvanathan K, Gray JW, et al. Do breast cancer cell lines provide a relevant model of the patient tumor methylome? PLoS One. 2014;9:e105545 Rameshwar P, editor.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  44. 44.

    Dai X, Cheng H, Bai Z, Li J. Breast cancer cell line classification and its relevance with breast tumor subtyping. J Cancer. 2017;8:3131–41.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  45. 45.

    Keller PJ, Lin AF, Arendt LM, Klebba I, Jones AD, Rudnick JA, et al. Mapping the cellular and molecular heterogeneity of normal and malignant breast tissues and cultured cell lines. Breast Cancer Res. 2010;12:R87.

    PubMed  PubMed Central  Article  Google Scholar 

  46. 46.

    Jandu H, Aluzaite K, Fogh L, Thrane SW, Noer JB, Proszek J, et al. Molecular characterization of irinotecan (SN-38) resistant human breast cancer cell lines. BMC Cancer. 2016;16:34.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  47. 47.

    Roth V. Doubling time computing; 2006.

    Google Scholar 

  48. 48.

    Celis JE, Moreira JMA, Gromov P. Determination of antibody specificity by Western blotting. Cell Biol. 2006;1:527–32 Academic Press.

    Article  Google Scholar 

  49. 49.

    Halvorsen AR, Helland Å, Gromov P, Wielenga VT, Talman M-LM, Brunner N, et al. Profiling of microRNAs in tumor interstitial fluid of breast tumors - a novel resource to identify biomarkers for prognostic classification and detection of cancer. Mol Oncol. 2017;11:220–34.

    CAS  PubMed  Article  Google Scholar 

  50. 50.

    Cabezón T, Gromova I, Gromov P, Serizawa R, Timmermans Wielenga V, Kroman N, et al. Proteomic profiling of triple-negative breast carcinomas in combination with a three-tier orthogonal technology approach identifies Mage-A4 as potential therapeutic target in estrogen receptor negative breast cancer. Mol Cell Proteomics. 2013;12:381–94.

    PubMed  Article  CAS  Google Scholar 

  51. 51.

    Hann CL, Carlberg AL, Bjornsti MA. Intragenic suppressors of mutant DNA topoisomerase I-induced lethality diminish enzyme binding of DNA. J Biol Chem. 1998;273:31519–27.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Stougaard M, Lohmann JS, Mancino A, Celik S, Andersen FF, Koch J, et al. Single-molecule detection of human topoisomerase I cleavage-ligation activity. ACS Nano. 2009;3:223–33.

    CAS  PubMed  Article  Google Scholar 

  53. 53.

    Jensen PW, Falconi M, Kristoffersen EL, Simonsen AT, Cifuentes JB, Marcussen LB, et al. Real-time detection of TDP1 activity using a fluorophore-quencher coupled DNA-biosensor. Biosens Bioelectron. 2013;48:230–7.

    CAS  PubMed  Article  Google Scholar 

  54. 54.

    Hou M, Xue P, Gao Y-E, Ma X, Bai S, Kang Y, et al. Gemcitabine–camptothecin conjugates: a hybrid prodrug for controlled drug release and synergistic therapeutics. Biomater Sci. 2017;5:1889–97 The Royal Society of Chemistry.

    CAS  PubMed  Article  Google Scholar 

  55. 55.

    Leppard JB, Champoux JJ. Human DNA topoisomerase I: relaxation, roles, and damage control. Chromosoma. 2005;114:75–85.

    CAS  PubMed  Article  Google Scholar 

  56. 56.

    Kümler I, Balslev E, Stenvang J, Brünner N, Nielsen D. A phase II study of weekly irinotecan in patients with locally advanced or metastatic HER2- negative breast cancer and increased copy numbers of the topoisomerase 1 (TOP1) gene: a study protocol. BMC Cancer. 2015;15:1–5.

    Article  CAS  Google Scholar 

  57. 57.

    Kümler I, Balslev E, Poulsen TS, Nielsen SL, Nygård SB, Rømer MU, et al. Topoisomerase-1 gene copy aberrations are frequent in patients with breast cancer. Int J Cancer. 2015;137:2000–6.

    PubMed  Article  CAS  Google Scholar 

  58. 58.

    Kümler I, Balslev E, Knop AS, Brünner N, Klausen TW, Jespersen SS, et al. Expression patterns of biomarkers in primary tumors and corresponding metastases in breast cancer. Appl Immunohistochem Mol Morphol. 2018;26:13–9.

    PubMed  Google Scholar 

  59. 59.

    Voutsadakis IA. HER2 in stemness and epithelial–mesenchymal plasticity of breast cancer. Clin Transl Oncol. 2019;21(5):539–55.

    PubMed  Article  Google Scholar 

  60. 60.

    Goldwasser F, Bae I, Valenti M, Torres K, Pommier Y. Topoisomerase I-related parameters and camptothecin activity in the colon carcinoma cell lines from the National Cancer Institute anticancer screen. Cancer Res. 1995;55:2116–21.

    CAS  PubMed  Google Scholar 

  61. 61.

    Rao S, Beckman RA, Riazi S, Yabar CS, Boca SM, Marshall JL, et al. Quantification and expert evaluation of evidence for chemopredictive biomarkers to personalize cancer treatment. Oncotarget. 2017;8:37923–34.

    PubMed  Google Scholar 

  62. 62.

    Pfister TD, Reinhold WC, Agama K, Gupta S, Khin SA, Kinders RJ, et al. Topoisomerase I levels in the NCI-60 cancer cell line panel determined by validated ELISA and microarray analysis and correlation with indenoisoquinoline sensitivity. Mol Cancer Ther. 2009;8:1878–84.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  63. 63.

    Huang SN, Pommier Y, Marchand C. Tyrosyl-DNA Phosphodiesterase 1 (Tdp1) inhibitors. Expert Opin Ther Pat. 2011;21:1285–92.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  64. 64.

    Kawale AS, Povirk LF. Tyrosyl-DNA phosphodiesterases: rescuing the genome from the risks of relaxation. Nucleic Acids Res. 2018;46:520–37.

    CAS  PubMed  Article  Google Scholar 

  65. 65.

    Pommier Y, Pourquier P, Fan Y, Strumberg D. Mechanism of action of eukaryotic DNA topoisomerase I and drugs targeted to the enzyme. Biochim Biophys Acta. 1998;1400:83–105.

    CAS  PubMed  Article  Google Scholar 

  66. 66.

    Jakobsen KP, Nielsen KO, Løvschal KV, Rødgaard M, Andersen AH, Bjergbæk L. Minimal resection takes place during break-induced replication repair of collapsed replication forks and is controlled by strand invasion. Cell Rep. 2019;26:836–844.e3 Elsevier Company.

    CAS  PubMed  Article  Google Scholar 

Download references

Acknowledgments

The authors thank Maria Grønvig Nielsen and Lisbeth Schade Hansen (Danish Cancer Society, DCRC) for professional help with IHC and cellular experiments.

Funding

This project was supported by grants from The Eurocan Platform, which has received funding from the European Community’s Seventh Framework Program (FP7/2007–2013) under grant agreement No. 260791. This project was also supported by funding from The Danish Cancer Society, the “Race Against Breast Cancer” foundation, the John and Birthe Meyer Foundation, and the Danish National Research Foundation (Centre of Excellence: CARD, DNRF125). BRK acknowledges financial support from Aage og Johanne Louis-Hansens Fond, Marie & M.B. Richters Fond, Aase og Ejnar Danielsens Fond, Familien Hede Nielsens Fond, Familien Erichsens Mindefond, KV Fonden, Dagmar Marshalls Fond, Lily Benthine Lunds Fond af 1.6.1978, Kleinsmed Svend Helge Arvid Schrøder og hustrus fond, Einar Willusens Mindelegat. CT acknowledges financial support from the Carlsberg foundation. None of the funding agencies contributed directly to the scientific work or interfered with it in any way.

Author information

Affiliations

  1. Department of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark

    Cinzia Tesauro, Anne Katrine Simonsen, Marie Bech Andersen, Kamilla Wandsoe Petersen, Emil Laust Kristoffersen, Line Algreen, Noriko Yokoyama Hansen, Anne Bech Andersen & Birgitta R. Knudsen

  2. Present Address: Department of Biology, Copenhagen University, Copenhagen, Denmark

    Anne Katrine Simonsen

  3. Present Address: MRC Laboratory of Molecular Biology, Cambridge, UK

    Emil Laust Kristoffersen

  4. Department of Pathology, Aarhus University Hospital, Aarhus, Denmark

    Ann Katrine Jakobsen & Magnus Stougaard

  5. Genome Integrity Unit, Breast Cancer Biology Group, Danish Cancer Society Research Center, Copenhagen, Denmark

    Pavel Gromov & Irina Gromova

Authors
  1. Cinzia Tesauro
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Anne Katrine Simonsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marie Bech Andersen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Kamilla Wandsoe Petersen
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Emil Laust Kristoffersen
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Line Algreen
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Noriko Yokoyama Hansen
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Anne Bech Andersen
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Ann Katrine Jakobsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Magnus Stougaard
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Pavel Gromov
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Birgitta R. Knudsen
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Irina Gromova
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

CT performed the cell survival experiments and characterization of TOP1 activity with assistance from AKS, MBA, KWP, ELK, LA, NYH, BRK, and ABA. The TDP1 activity assays were performed by AKJ and NYH. The CPT susceptibility of TOP1 was determined by CT, AKS, and MBA. Cell growth, ICH, WB, and assessment of gene copy number were performed by PG and IG. The project was conceived by CT, MS, BRK, PG, and IG. The manuscript was prepared by CT, MS, BRK, PG, and IG. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Birgitta R. Knudsen or Irina Gromova.

Ethics declarations

Ethics approval and consent to participate

All cell lines used in the study are commercially available. The entire collection, including HCC1419, HCC1954, HCC202, and SK-BR3 bearing amplified Her2, were purchased from the American Tissue Culture Collection (ATCC). The SUM149 was purchased from Asterand Inc. (Detroit, MI, USA). We hereby confirm that none of the used cell lines require any ethics approval for their use.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1: Table S1. description of the cell lines used in the study. Table S2. Shows the result of the quantifications of the TOP1 protein levels. Figure S1. Nuclear TOP1 IHC staining. Figure S2. Shows the correlation between TOP1 protein expression level and TOP1 gene copy number in cell lines of the luminal subtype. Figure S3. Shows the correlation between TOP1 protein expression level and TOP1 gene copy number in cell lines of the HER2 subtype. Figure S4. Shows the correlation between TOP1 protein expression level and TOP1 gene copy number in cell lines of the TNBC subtype. Figure S5. Shows the correlation between TOP1 activity and protein expression level in cell lines of the luminal subtype. Figure S6. Shows the correlation between TOP1 activity and protein expression level in cell lines of the TNBC subtype. Figure S7. Shows the correlation between TOP1 activity and protein expression level in cell lines of the HER2 subtype. Figure S8. Shows a graphically depiction of TOP1 susceptibility to CPT in nuclear extracts. Table S3. Summary of the results obtained for all investigated parameters.

Rights and permissions

Open Access This 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.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Tesauro, C., Simonsen, A.K., Andersen, M.B. et al. Topoisomerase I activity and sensitivity to camptothecin in breast cancer-derived cells: a comparative study. BMC Cancer 19, 1158 (2019). https://doi.org/10.1186/s12885-019-6371-0

Download citation

Keywords

  • Breast cancer
  • Breast cancer cell lines
  • Breast tumor subtypes
  • Topoisomerase I
  • Camptothecin sensivity

BMC Cancer

ISSN: 1471-2407

Contact us