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Lung cancer is the second most prevalent cancer and the leading cause of cancer-related death in the United States.1 Non-small cell lung cancer (NSCLC) is the most prevalent type, accounting for ~80% of new cases.2, 3 A plethora of treatment options exist including surgical resection, chemotherapy, radiation therapy and immunotherapy.4, 5 Five-year survival rates for patients with stage I and II NSCLC are ~50% and 30%, respectively. However, despite this myriad of options, 5-year survival rates for patients with late stage IIIA, IIIB and IV are 14%, 5% and 1%, respectively (www.cancer.net), highlighting the need for novel treatment modalities that can be utilized alone or in combination with conventional therapies to increase survival rates.

The advent of Tumor-Treating Fields (TTFields), a novel physical treatment modality, has been effective for the treatment of solid, therapy-resistant primary and recurrent tumors.6, 7, 8, 9 TTFields electrodes are non-invasive and deliver a low-intensity (1–3 V/cm) intermediate frequency (100–300 kHz) alternating electric field across the tumor bed.10 TTFields create a heterogeneous intracellular environment that induces a dielectrophoretic movement of polar molecules toward the region of higher field intensity, effectively preventing polymerization and other critical biochemical functions.11 As such, TTFields preferentially target cancer cells through the exploitation of cell proliferation, effectively sparing non-dividing normal cells. In addition, TTFields do not stimulate nerves and muscle because of their high frequency, and do not generate heat because of their low intensity.10 The FDA has approved Optune (NovoCure), a TTFields generating transducer array, for the treatment of recurrent and newly diagnosed glioblastoma (GBM) in combination with temozolomide.12 Clinical trials are ongoing or recruiting for cancers at additional anatomic sites including lung, pancreatic and ovarian cancers (www.novocure.com).

TTFields are known to decrease cellular proliferation and induce abortive apoptosis in dividing cancer cells across a variety of human and rodent tumor cell lines.13 Prevention of proper formation of the mitotic spindle apparatus and the activation of the mitotic spindle checkpoint has been proposed as the mechanism by which TTFields kill dividing cells.14, 15 Specifically, TTFields exposure leads to microtubule depolymerization and the mislocalization of septin. This results in plasma membrane instability and blebbing that disrupts cytokinesis, leading to abnormal chromosome segregation, aberrant mitotic exit and production of deranged cells that subsequently undergo apoptosis.16 In the context of cancer therapy, TTFields has been shown to enhance the efficacy of numerous chemotherapeutic agents when used in combination such as paclitaxel and doxorubicin in multidrug-resistant cancer cells—without increasing the intracellular accumulation of the drugs;17 decreased cellular proliferation, survival and the percentage of G2/M populations; enhanced the efficacy of chemotherapy in a hamster pancreatic cancer model;6 decreased cellular proliferation and enhanced the efficacy of pemetrexed, cisplatin and paclitaxel in NSCLC cells both in vitro and in vivo,18 all lending support for the use of TTFields in a combination setting.19 In addition to its efficacy in treating primary tumors, TTFields have also demonstrated the ability to prevent or delay metastasis in animal models, a process likely resulting from enhancement of the antitumor immune response.20 Furthermore, it was recently shown that TTFields enhanced the efficacy of radiation treatment through the induction of increased mitotic abnormalities and induction of DNA damage in GBM.21 Although these findings collectively support the efficacy of TTFields as an anticancer agent, further mechanistic insights are needed to optimize the use of TTFields in combination with additional modalities including radiation therapy.

Using a panel of NSCLC cell lines with different molecular phenotypes, we found that TTFields alone exhibits antiproliferative effects and cytotoxicity. We divided NSCLC cells into more responsive (H157 and H4006) and less responsive (A549, H129, H1650) cell lines based on their degree of responsiveness to TTFields. Consistent with previous reports, we also observed a time-dependent increase in the G2/M population upon TTFields exposure; however, the number of cells accumulating in G2/M was likely not enough to account for the decreased survival seen. Therefore, we postulated that TTFields may induce additional mechanisms leading to cell death. To explore this phenomenon and identify novel mechanisms that could be exploited clinically, we performed temporal gene expression analysis after treating H157, H4006, A549, H1650 and H1299 cell lines with TTFields for up to 48 h. In addition to confirming previously described mechanisms with the perturbation of genes involved in cell cycle regulation and mitosis, we also identified a significant association of differentially expressed genes to the BRCA1 pathway (P<0.05) upon TTFields treatment. This finding suggests that a novel mechanism involving DNA repair and/or DNA replication may contribute to TTFields induced cell killing other than the reported abortive mitosis cell death mechanism. TTFields alone elevated the frequency of chromatid-type aberrations and induced γ-H2AX foci, in addition to slowing the repair of ionizing radiation (IR)-induced double-strand breaks (DSBs). As expected, TTFields sensitized NSCLC cells to IR and decreased the surviving fraction at 2 and 4 Gy. The effect was at least additive and, in some cases, synergistic. Taken together, these results highlight a previously unknown mechanism for TTFields-induced cell killing, and also suggest that TTFields may establish a ‘conditional vulnerability’ resulting from an induced state of ‘BRCAness’ effectively sensitizing cells to IR and opening new avenues for combination therapy with DNA-damaging agents and other agents such as PARP inhibitors.

Results

TTFields reduce NSCLC cell proliferation

Previous studies have demonstrated that TTFields exhibit optimal effectiveness in a cell line-specific manner.6, 18, 22 To determine the optimal frequency to maximize growth inhibition, cells were treated at different frequencies ranging from 100 to 300 kHz. Cell counts were taken every 24 h for up to 72 h within a panel of NSCLC cell lines (Supplementary Figure 1). The list of cell lines utilized in this study, their standardized TTFields frequencies, cell-doubling times, percentage of growth inhibition at their optimized frequency at 72 h and their p53 and KRAS mutation status are listed in Table 1. Further experimentation was carried out at the optimal frequencies listed in this table. While TTFields reduced the growth in all the cell lines examined, its relative efficacy was lower in the H1650, H1299 and A549 cell lines and higher in the H157 and H4006 cell lines (Table 1).

Table 1 Standardization of frequencies in NSCLC cells and their genetic background
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TTFields exposure causes cell death in NSCLC cell lines

As growth delay is not the same as cell killing, we examined the ability of TTFields to induce reproductive cell death using clonogenic survival assays. TTFields treatment resulted in a significant decrease in cell survival in all the cell lines examined, a trend that generally increased with the amount of time cells were exposed to TTFields. As with the cell growth patterns, H1650, H1299 and A549 were less responsive and H157 and H4006 more responsive, to TTFields (Figure 1). The characterization of more responsive versus less responsive was maintained for all assays in this study.

Figure 1
figure 1

TTFields treatment induces NSCLC cell death. The fraction of cells surviving TTFields treatment at 24, 48 and 72 h post induction in a panel of NSCLC cell lines including H157, H1299, A549, H1650 and H4006. Values are represented as the number of colony-forming cells relative to control. Error bars represent the S.E.M. of three separate experiments and asterisks represent values where survival was significantly (P<0.05) decreased

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TTFields exposure alters the cell cycle distribution by enriching the G2/M population and generating a sub-G1 population

Previous reports have established that TTFields alter the cell cycle distribution, resulting in an increase in the G2/M phase of the cell cycle with increasing treatment time in GBM and ovarian cancer cell lines.13, 22 To determine whether TTFields induce a similar enrichment of the G2/M population in NSCLC cell lines, we performed propidium iodide (PI) staining and examined the distribution of cells throughout the cell cycle using flow cytometry in the two most responsive cell lines (H157 and H4006) and two of the less responsive cell lines (A549 and H1299). Consistent with previous reports TTFields treatment enriched the G2/M and G0/G1 populations while decreasing the number of S-phase cells in all cell lines tested (Figure 2). Furthermore, TTFields generated a sub-G1 population, giving strong, albeit not definitive, evidence for an apoptotic cell population. Representative histograms are shown in Supplementary Figure 2. These changes in cell cycle distribution are likely not sufficient to account for the amount of cell death observed with TTFields application. Therefore, we postulated that additional mechanism(s), aside from cell cycle perturbation and abortive apoptosis following mitosis, must be contributing to TTFields-induced cell death.

Figure 2
figure 2

TTFields alter cell cycle distribution. TTFields treatment resulted in a significant enrichment of NSCLC cells in the G2/M phase of the cell cycle, a decrease in the percentage of cells in S-phase, and resulted in the significant induction of a sub-G1 population indicative of an apoptotic cell population. Error bars represent the S.E.M. of three separate experiments and asterisks represent significant changes (P<0.05) in cell count percentage at given time point and cell line

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TTFields induce global gene expression changes

To explore alternative potential mechanisms for TTFields-induced cell death, we performed gene expression analysis on our panel of NSCLC cells exposed to TTFields for up to 48 h. A schematic of experimental time points and cell lines is given in Supplementary Figure 3. Differential gene expression after TTFields exposure was examined using significance analysis of microarray (SAM) time course analysis. By normalizing TTFields-induced gene expression to the baseline gene expression values for each cell line, we identified a 1083 gene (false discovery rate (FDR)<0.01) signature that segregates cell lines by response to TTFields exposure (Figure 3a). Gene expression analysis was subsequently performed in more responsive and less responsive cell groups, respectively. The analysis suggested that, as a result of TTFields exposure, the expression of 1039 genes was altered in the less responsive cell lines and that 628 genes were differentially expressed in the more responsive NSCLC cell lines. Cluster analysis showed distinct expression profiles that separated the 48 h time point from earlier time points relative to untreated controls in the more responsive lines as well as in less responsive cell lines (Figures 3b and c).

Figure 3
figure 3

TTFields treatment induces gene expression changes and downregulates BRCA1 DNA damage repair pathway. (a) Supervised clustering using a 1083 gene (FDR<0.01) signature that segregates cell lines by response to TTFields exposure. The heatmap scale is based upon log2 values of normalized gene expression. Clustering analysis of differentially expressed genes after TTFields treatment revealed that (b) 628 genes (FDR<0.05) responded to TTFields in the more responsive cell lines and (c) 1039 genes (FDR<0.05) responded to TTFields in the less responsive cell lines. (d) Identification of differentially regulated canonical pathways for TTFields exposure in the more responsive and the less responsive cell lines. Downregulation of the BRCA1 DNA damage repair pathway is more pronounced in the more responsive cell lines compared to the less responsive cell lines, which is denoted by a decrease in the intensity of blue color reflecting the negative z-scores

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Ingenuity pathway analysis (IPA) was performed to determine specific canonical pathways involved in the TTFields responding genes (Figure 3d). The results suggested that alterations occurred in cell cycle and mitotic regulatory pathways, which is consistent with previous studies but also revealed a significantly downregulated BRCA1 DNA-damage response pathway (P<0.05) with TTFields exposure.

BRCA1 pathway genes are downregulated as a result of TTFields treatment

IPA analysis of differentially expressed genes suggested that the activity of the BRCA1 pathway was inhibited as a result of TTFields exposure. Although inhibition occurred in both groups, we observed a stronger inhibition in the more responsive cell lines compared to the less responsive cell lines as indicated by the negative z-scores (Figure 4a). Temporal gene expression graphs showing downregulation of many of the BRCA1 pathway genes in all cell lines is found in the Supplementary Figure 4. The confirmation of BRCA1 pathway gene downregulation at the protein level was conducted with immunoblotting for BRCA1, FANCD2 and FANCA (Figure 4b). The quantification of immunoblots revealed that BRCA1, FANCD2 and FANCA protein levels were significantly downregulated in all cell lines at 72 h post-TTFields exposure, confirming gene expression results (Figure 4c).

Figure 4
figure 4

The BRCA1 pathway is downregulated in NSCLC cells exposed to TTFields. (a) z-scores and P-values of BRCA1 pathway gene expression along with the relevant pathway gene names. (b) Immunoblot of representative BRCA1 pathway genes demonstrating the downregulation of BRCA1, FANCD2 and FANCA protein levels resulting from TTFields treatment at 72 h. (c) Quantification of BRCA1, FANCD2 and FANCA protein levels from immunoblots (N=3)

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TTFields cause DNA damage, reduce IR-induced DNA repair and increase the frequency of chromatid-type aberrations

Because TTFields decreased BRCA1-associated gene expression, we wanted to confirm whether this resulted in DNA damage induction as a result of TTFields exposure alone or whether there would be a reduction in DNA DSB repair kinetics after IR. Exposure to TTFields alone resulted in the formation of γ-H2AX foci, with the mean number of foci per cell increasing as a function of time, indicating that TTFields treatment alone is capable of causing DNA damage (Figures 5b and c). An IR exposure of 2 Gy immediately followed by TTFields application decreased the resolution of γ-H2AX foci and colocalized γ-H2AX/53BP1 foci, indicating that in addition to causing DNA damage TTFields also reduced the repair of IR-induced damage (Figures 5a and b). When residual lesions at 24 and 48 h were compared, the more responsive cell lines had greater numbers of residual lesions compared to those cell lines considered as less responsive (Figures 5b and c). Representative immunofluorescence images are found in Supplementary Figure 5.

Figure 5
figure 5

TTFields induce DNA damage and slow the repair of IR-induced DSBs. (a) Changes in the mean number of localized 53BP1 and γ-H2AX foci over 48 h. (b) Change in the mean number of γ-H2AX foci over time with TTFields alone (blue lines) and after receiving 2 Gy (red lines), both followed over 48 h. (c) The mean value for residual γ-H2AX foci and localized 53BP1 and γ-H2AX foci at 48 h post-IR for all cell lines. (d) TTFields exposure for 48 h resulted in the induction of chromatid-type aberrations in the panel of NSCLC lines. (e) The frequency of chromosome-type aberrations after a 48 h TTFields exposure in combination with radiation. Error bars represent the S.E.M. of three separate experiments and asterisks represent significant difference (P<0.05) between indicated conditions

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To further confirm the effects of TTFields on DNA damage, we performed cytogenetic analysis to validate the findings associated with DNA repair foci at 48 h post irradiation. TTFields alone significantly increased the frequency of chromatid-type but not chromosome-type aberrations (Figures 5d and e) in all cell lines examined, consistent with the finding that TTFields cause DNA damage. Representative chromosome spreads were shown in Supplementary Figure 6. The combined effect of TTFields plus IR increased both chromatid-type and chromosome-type aberrations, albeit not at a higher frequency than that of each agent alone.

TTFields sensitize NSCLC cells to IR

After observing the reduction in BRCA1 expression, a reduction in DNA DSB repair capacity and increased chromatid damage with TTFields exposure, the radioresponse of our panel of NSCLC cell lines was determined via clonogenic cell survival after the cells received either 2 or 4 Gy IR followed by TTFields treatment for 24, 48 and 72 h. All of the cell lines displayed an enhanced sensitivity to IR, although, consistent with earlier results, the degree of sensitization varied between cell lines (Figure 6). We considered the combined effect of TTFields and IR to be synergistic if the combination index (CI) was >1 and the P-value was<0.05; (see Materials and Methods). The combined effect of 4 Gy IR and TTFields on cell death was found to be synergistic in all the cell lines tested, whereas the combined effect of 2 Gy IR and TTFields on cell death was found to be synergistic in the H157, H4006, A549 and H1650 cell lines, which is denoted by bold text in Table 2.

Figure 6
figure 6

TTFields sensitize NSCLC cells to IR. TTFields treatment was applied alone or immediately following treatment with 2 or 4 Gy of 137Cs γ-rays. Survival was then assessed in all cell lines following 24, 48 or 72 h of TTFields induction. Error bars represent the S.E.M. of three separate experiments and asterisks represent values where survival was significantly decreased (P<0.05; Table 2)

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Table 2 Evaluation of radiosensitization effect of TTFields in combination with IR
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Discussion

In agreement with previous reports,13, 21, 22 we confirmed that TTFields have antiproliferative effects, induce cell death and alter the distribution of cells through the cell cycle, resulting in an enrichment of G2/M populations and the generation of a sub-G1 population indicative of apoptotic cells.

Earlier, Gera et al.16 showed that TTFields sensitivity is dependent on p53 status in colon cancer cells; however, cell proliferation and survival results from our study and recent studies by others13, 22 suggest that TTFields effects are independent of p53 status (Table 1 and Figure 1). Because the presence of a sub-G1 population and the increase in G2/M cells are likely not sufficient to account for the differences in survival observed when TTFields were applied across our NSCLC cell panel, we postulated that there are other novel mechanism(s) by which TTFields lead to cell killing. We divided the NSCLC cell lines into two categories, that is, more responsive cell lines (H157 and H4006) and less responsive (A549, H1299 and H1650) cell lines, and conducted gene expression analysis to understand the basis for the differential response of NSCLC cell lines to TTFields.

The molecular basis of the differential responses to TTFields was demonstrated by supervised clustering analysis that clearly segregated the cell lines into a more responsive cluster and a less responsive cluster (Figure 3a). To further elucidate the differences, we compared signaling pathways involved in the genes that responded to TTFields in each of the two cell line groups (Figures 3b and c). The majority of the pathways were common in more responsive (15 out of 19 associated pathways) and less responsive cell lines (15 out of 27 associated pathways), which are related to cell cycle and DNA-damage response pathways (Figure 3d). While these pathways have been reported in previous studies, downregulation of the BRCA1 signaling pathway with TTFields exposure is a novel finding. The fact that BRCA1 pathway downregulation is more pronounced in the more responsive cell lines than in the less responsive cell lines, evident by the negative z-scores (Figure 4a), suggests an inverted correlation between BRCA1 pathway activity and the sensitivity of cellular response to TTFields.

BRCA1 together with BRCA2 have an important role in maintaining replication fidelity through the repair of DSB damage by mediating homologous recombination and through non-homologous end joining during S and G2 phases of cell cycle.23 DSBs can occur during IR exposure or as by-products of DNA replication. BRCA1 mutant mice exhibit chromosome translocation and chromatid aberrations,24 and BRCA2 mutant mice accumulate chromatid breaks and aberrant chromatid exchanges.25 BRCA1 defects have been identified in multiple cancers including breast and pancreas.26, 27 Defects in the BRCA genes predispose cells to therapeutics targeting single-strand break (SSB) repair pathways, such as PARP inhibitors, resulting in what has been coined ‘synthetic lethality’.28 On the basis of our findings, we propose that TTFields exposure induces a conditional vulnerability, that is, they induce BRCAness29 because of the downregulation of the BRCA1 pathway genes. If this is accurate, then TTFields could be applied in combination with PARP inhibitors without the potential for developing therapy-resistant recurrent tumors as is common with molecularly targeted therapies. This is supported by our results where we saw the gradual accumulation of γ-H2AX foci following TTFields application over time and slowed DNA repair kinetics following IR exposure (γ-H2AX foci and colocalized γ-H2AX and 53BP1 foci (Figures 5a–c). Indeed, the more responsive cell lines had, on average, more residual DNA repair foci at 24 and 48 h post-IR than the less responsive cell lines, and Kim et al. 21 also showed accumulation of γ-H2AX upon TTFields treatment but without providing any mechanistic details behind their observation. 53BP1 localizes to DNA DSBs,30, 31 which are physically distinct from DNA replication stress,32, 33 whereas γ-H2AX recruits MRE11, KU70, KU80 and RAD51 to stalled replication forks at early time points.34 Therefore, we believe that TTFields not only slow down DNA damage repair kinetics but also induce replication stress based upon the significant differences seen in colocalized γ-H2AX/ 53BP1 foci (Figures 5a and c) and γ-H2AX foci alone (Figures 5b and c). Furthermore, the increased frequency of chromatid-type aberrations (Figures 5d and 5e) is consistent with ongoing replicative stress induced by TTFields as it is known that a defective response to replication stress leads to an accumulation of chromatid-type aberrations.35, 36 Hence, we postulate that TTFields induce replication stress and the reduction of BRCA1 pathway proteins leads to an increased frequency of chromatid-type aberrations. The notion that TTFields induces DNA replication stress can explain both the increase in DNA damage foci and the elevated frequency of chromatid-type aberrations. Ongoing studies by our group are seeking to better understand the molecular underpinning of this induced replication stress.

The reduced DNA DSB repair capacity seen in all cell lines when TTFields were applied post-IR is clearly linked to reduced cell survival (Figure 6 and Table 2). These data are consistent with findings reported recently by Kim et al.21 in which TTFields sensitized GBM cell lines to IR. In contrast to our methods, these authors applied TTFields prior to irradiation, whereas we first irradiated the cells and then immediately applied TTFields assuming that the chromosomal damage generated by IR would enhance the disruption of mitosis caused by TTFields exposure. Interestingly, both prior and post-TTFields treatment sensitize cells to IR, which could have an impact on treatment sequencing.

In conclusion, TTFields induce a global antiproliferative and cytotoxic effect on dividing cell populations; however, the relative sensitivity of cells to TTFields varies. These antitumor properties are due to multiple mechanisms, likely acting in concert, that would suggest TTFields should be utilized as an adjuvant modality with RT and other agents. Indeed, our data suggest by gaining additional insight into understanding the underlying molecular mechanisms governing TTFields' antitumor effects optimizing combinatorial strategies of TTFields, IR and other agents in preclinical models is appropriate. At this junction PARP inhibitors are particularly attractive. Lastly, whether specific molecular signatures as reported in this study will predict which patients will respond better to TTFields is worth exploring clinically where possible.

Materials and methods

Cell culture

Human NSCLC cell lines (H157, H4006, A549, H1299 and H1650) were purchased from American Tissue Culture Collection. All these cell lines were grown in RPMI medium37, 38 supplemented with 10% (v/v) fetal bovine serum (Atlanta Biologicals, Flowery Branch, GA, USA) and penicillin/streptavidin (final concentration 50 μg/ml; Sigma-Aldrich, St. Louis, MO, USA). All cells were grown at 37 °C in a humidified incubator constantly supplied with 5% CO2.

Tumor treating fields

We used the inovitro system (NovoCure Ltd, Haifa, Israel) to generate TTFields that use two pairs of electrodes printed perpendicularly on the outer walls of a Petri dish composed of high dielectric constant ceramic (lead magnesium niobate-lead titanite (PMN-PT)). The transducer arrays were connected to a sinusoidal waveform generator that generate low-intensity electric fields at the desired frequencies in the medium as summarized in Table 1. The orientation of the TTFields was switched 90o every 1 s, thus covering the majority of the orientation axis of cell divisions, as previously described by Kirson et al.15 Plate temperature was maintained at 37 °C by placing the plates in a refrigerated incubator where the temperature was maintained at 19 °C to dissipate the heat generated by the inovitro system. The temperature was measured by 2 thermistors (Omega Engineering, Stamford, CT, USA) attached to the ceramic walls. All cell suspensions were grown on a cover slip inside the inovitro dish (NovoCure Ltd) and treated with TTFields for the times indicated in the figure legends.

Cell growth assay

Human NSCLC (H157, H4006, A549, H1299 and H1650) cell lines were treated with different frequencies of TTFields indicated for 24, 48 and 72 h, and cell growth was counted using a Beckman coulter counter (Beckman Coulter Inc, Indianapolis, IN, USA) in triplicates for each sample. Growth curve graphs were drawn using the average cell number counted at each time point and the given TTFields frequency using GraphPad Prism V.6 (GraphPad Software Inc, La Jolla, CA, USA).

Cell cycle analysis

Cells at specific times and treatments were harvested and fixed in 75% ice-cold ethanol at −20 °C for 24 h. Fixed cells were washed with PBS and incubated in 500 μl of PI staining solution, that is, PBS containing 1 mg/ml RNAse A (Sigma-Aldrich), 0.05% triton X-100 and 30 μg/ml of PI (Sigma-Aldrich) for 30 min at 37 °C. The cell cycle distribution was determined using a FACSCalibur system (BD Biosciences, San jose, CA, USA). More than 10 000 cells per sample were counted and the results were analyzed using FlowJo software v8.7.1 (Tree Star Inc, Ashland, OR, USA).

Labeling and hybridization of RNA for gene expression analysis

Illumina Whole Genome HumanWG6 v4 Expression BeadChips (Illumina Inc, San Diego, CA, USA) were used. Each RNA sample (0.5 μg) was amplified using the Illumina TotalPrep RNA amplification kit with biotin UTP (Enzo Life Sciences, Inc., Farmingdale, NY, USA) labeling. T7 oligo(dT) primers were used to generate single-stranded cDNA followed by a second-strand synthesis to generate double-stranded cDNA, which is then column-purified. In vitro transcription was done to synthesize biotin-labeled cRNA using T7 RNA polymerase. The cRNA was then column-purified and checked for size and yield using the Bio-Rad Experion system (Bio-Rad Laboratories, Hercules, CA, USA). cRNA (1.5 μg) was then hybridized for each array using standard Illumina protocols with streptavidin-Cy3 (Amersham Biosciences, Piscataway, NJ, USA) being used for detection. Slides were scanned on an Illumina Beadstation (Illumina Inc).

Data processing and significance analysis of differential gene expression

Summarized expression values for each probe set were generated using BeadStudio 3.1 (Illumina Inc). The data were background-subtracted and quantile–quantile-normalized across samples using the MBCB algorithm.39 Normalized gene expression values were used to generate plots for comparisons. Analysis of differentially expressed genes in treated cell lines was performed using SAM. FDR<0.05 was considered to be statistically significant. Clustering analysis and heatmaps were generated using the Partek Genomic Suite software (Partek Incorporated, St. Louis, MO, USA). Gene ontology and pathway analysis was performed using IPA (QIAGEN, Redwood City, CA, USA).

Immunoblotting

Laemmli sample buffer (4 × ; Bio-Rad Laboratories) was added to 30 μg of each protein sample and the mixtures were boiled at 95 °C for 10 min. Protein mixtures were then loaded on 10% SDS-PAGE gel followed by transfer to PVDF membrane for 1 h at 90 V at 4 °C. The membrane was blocked with 5% fat-free milk in PBST for 1 h at room temperature and probed with anti β-actin (1:5000; Cell Signaling, Danvers, MA, USA), anti-BRCA1 (1:1000), anti-FANCD2 (1:2000) and anti-FANCA (1:500; Novus Biologicals LLC, Littleton, CO, USA) in PBST containing 2% bovine serum albumin (Thermo Fisher Scientific Inc, Bridgewater, NJ, USA) overnight at 4 °C. Membranes were washed with phosphate-buffered saline with 0.1% Tween-20 (PBST; 3 ×, 10 min, each) followed by incubation with secondary antibodies (1:5000) conjugated with horseradish peroxidase (GE Healthcare, Buckinghamshire, UK) for 1 h at room temperature. Membranes were developed using a chemiluminescence detection kit (Thermo Scientific, Rockford, IL, USA) on FluorChem M system (ProteinSimple, San Jose, CA, USA). Quantification was done using the ImageJ software (NIH, Bethesda, MD, USA) and normalized using the corresponding actin density.

Immunofluorescence

Cells were seeded on glass coverslips and after treatment cells were washed and fixed with ice-cold methanol. The samples were blocked with 10% normal goat serum for 1 h and incubated with phospho-histone-γ-H2AX antibody (Ser139; Upstate Biotechnology, Temecula, CA, USA) and p53-binding protein 1 (53BP1) antibody (Cell Signaling). Samples were washed three times for 5 min in PBS, and then incubated with Alexa Fluor 488-conjugated anti-rabbit antibody and Alexa Fluor 555-conjugated anti-mouse antibody (Invitrogen, Carlsbad, CA, USA) for 1 h. Nuclei were counterstained with DAPI contained in Vecatshield mounting medium (Vector Laboratories Inc, Burlingame, CA, USA). The stained cells were then analyzed under a fluorescence microscope (Axio Imager M2, Carl Zeiss, Thornwood, NY, USA) with a × 63 objective (oil immersion, aperture 1.3) with five slices of z-stacks of 0.2 μ M thickness each. Quantitative image analysis of 40 nuclei from each experiment was performed using Cell module in Imaris software version 8.0 (Bitplane, Concord, MA, USA).

Cytogenetic analyses

Preparation of metaphase chromosome spreads and cytogenetic analysis were performed as previously reported.40 Briefly, cultured cells were treated with 1 μM colcemid solution (Thermo Scientific) for 3–4 h at 37 °C, trypsinized, incubated for 30 min in a hypotonic solution of 75 mM KCl solution and subsequently fixed with 3:1 methanol to acetic acid. Samples were then dropped on to glass slides and stained with either 5% Giemsa (Sigma-Aldrich) or prolong antifade gold reagent with DAPI (Life Technologies, Carlsbad, CA, USA) for scoring. The presence of chromosome-type aberrations (deletions, dicentric chromosomes and rings) and chromatid-type (gaps, breaks, deletions and radial chromosome arrangements) was detected under a microscope (Axio Imager M2, Carl Zeiss) and ~30 metaphase cells per treatment group were scored and averages displayed as the frequency of aberrations per cell.

Radiation exposure and clonogenic cell survival

To study the effect of radiation sensitivity on NSCLC cells, exponentially growing cells were treated with IR using a Mark II 137Cs irradiator (J L Shepherd and Associates) at a dose rate of 3.47 Gy/min, followed by immediate application of TTFields for 24, 48 and 72 h. Cells were then re-seeded into 60 mm dishes and incubated for up to 2 weeks. Colonies containing 50 or more cells were considered viable. The data are presented as the mean±S.E.M. of three independent experiments. The radiosensitization effect of TTFields was evaluated according to The Highest Single Agent41, 42, 43 approach by calculating the CI as given below.

The combination effect was considered enhanced/synergistic when CI>1, additive when CI=1. Statistical significance for a positive effect was determined by the P-value of a two-way ANOVA multiple comparison statistical test comparing the combination (TTFields plus IR) to the single agent showing the greatest cell killing for a given dose and time after IR.