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Cell Death and Differentiation logoLink to Cell Death and Differentiation
. 2014 Jul 18;21(12):1877–1888. doi: 10.1038/cdd.2014.105

Elimination of quiescent/slow-proliferating cancer stem cells by Bcl-XL inhibition in non-small cell lung cancer

A Zeuner 1,*, F Francescangeli 1, P Contavalli 1, G Zapparelli 1, T Apuzzo 2, A Eramo 1, M Baiocchi 1, M L De Angelis 1, M Biffoni 1, G Sette 3, M Todaro 2, G Stassi 2, R De Maria 3
PMCID: PMC4227145  PMID: 25034785

Abstract

Lung cancer is the most common cause of cancer-related mortality worldwide, urging the discovery of novel molecular targets and therapeutic strategies. Stem cells have been recently isolated from non-small cell lung cancer (NSCLC), thus allowing the investigation of molecular pathways specifically active in the tumorigenic population. We have found that Bcl-XL is constantly expressed by lung cancer stem cells (LCSCs) and has a prominent role in regulating LCSC survival. Whereas chemotherapeutic agents were scarcely effective against LCSC, the small molecule Bcl-2/Bcl-XL inhibitor ABT-737, but not the selective Bcl-2 inhibitor ABT-199, induced LCSC death at nanomolar concentrations. Differently from gemcitabine, which preferentially eliminated proliferating LCSC, ABT-737 had an increased cytotoxic activity in vitro towards quiescent/slow-proliferating LCSC, which expressed high levels of Bcl-XL. In vivo, ABT-737 as a single agent was able to inhibit the growth of LCSC-derived xenografts and to reduce cancer stem cell content in treated tumors. Altogether, these results indicate that quiescent/slow-proliferating LCSC strongly depend on Bcl-XL for their survival and indicate Bcl-XL inhibition as a potential therapeutic avenue in NSCLC.


Lung cancer is the leading cause of cancer-related death in men and is expected to become the main cause of cancer death for women in the near future.1, 2 There is increasing evidence that cancer stem cells (CSCs) have a key role in drug resistance, tumor progression and metastasis in multiple tumor types, including lung cancer.3 Lung cancer stem cells (LCSCs) have been previously identified through different criteria including surface expression of CD133, c-kit or through functional properties such as selective drug survival, elevated aldehyde dehydrogenase (ALDH) activity, increased glycolysis and glycine/serine metabolism or low concentrations of reactive oxygen species and ATP.4, 5, 6, 7, 8, 9 Importantly, when inoculated into immunocompromised mice, LCSCs give rise to xenografts that histologically reproduce the tumor of origin, thus representing an improved model for in vivo testing of new targeted therapies.10 Several tumors express elevated levels of anti-apoptotic Bcl-2 family proteins such as Bcl-2, Bcl-XL and Mcl-1, which affect the apoptotic threshold of neoplastic cells contributing to chemotherapy resistance.11 Inhibition of anti-apoptotic Bcl-2 family members has been for long time regarded as a promising strategy to induce cancer cell death through approaches of increasing specificity. BH3 mimetics such as ABT-737, the related orally available ABT-263 (navitoclax) and the recently developed Bcl-2-selective inhibitor ABT-199 have been shown to exert an antitumor effect in preclinical and clinical settings either as single agents or in combination with conventional or targeted drugs.12 Recently, a new role for Bcl-2 has emerged in acute myeloid leukemia (AML), where quiescent stem cells characterized by low levels of reactive oxygen species were found to overexpress Bcl-2 and rely on this factor for survival.13 Similarly, in chronic myeloid leukemia (CML), quiescent therapy-resistant stem cells were sensitized to tyrosine kinase inhibitors by treatment with a pan-Bcl-2 inhibitor.14 In solid tumors, the role of Bcl-2 family members in regulating the stem cell compartment is less clear. By analyzing the expression and relative function of Bcl-2 and Bcl-XL in LCSC, we identified a prevalent role of Bcl-XL in LCSC survival. Differently from chemotherapy, ABT-737 showed a preferential cytotoxic activity towards quiescent/slowly proliferating LCSC in vitro indicating a potential use of this inhibitor to eradicate chemotherapy-resistant LCSC. In vivo, ABT-737 blocked the progression of LCSC-derived xenografts and reduced CSC content, substantiating its specific effect on the CSC compartment. Altogether, these results indicate for the first time a key role of Bcl-XL in LCSC, opening new perspectives for the elimination of therapy-resistant cells.

Results

Phenotypic and functional characterization of LCSCs

Four LCSC lines were isolated from NSCLC surgical specimens (one large-cell neuroendocrine carcinoma, one adenocarcinoma and two squamous cell carcinomas; clinical and mutational data are reported in Supplementary Figure 1) and cultured in serum-free medium containing EGF and basic-FGF as previously described.4 Such culture conditions allow the growth of multicellular spheroids (MCSs) with properties of CSC, as demonstrated by their ability to generate tumors that phenocopy the original patient tumor in immunocompromised mice (Figure 1a). LCSC can be induced to differentiate by growth in adherent conditions (described in Materials and Methods), where they acquire the expression of cytokeratins and lose the expression of stem cell markers such as Nanog (Figure 1b). LCSC MCS express stem cell markers such as CD133, ALDH1 (detected as ALDH activity) and c-kit (Figures 1c–e). Notably, none of the three markers showed a high and consistent expression in all the LCSC lines, indicating a phenotypic heterogeneity in NSCLC stem cell marker expression as also reported by recent studies.15 Drug resistance has been previously demonstrated to be a feature of LCSC.4, 6, 16 As expected, LCSCs used for this study were highly resistant to commonly used antineoplastic agents (Figure 1f), whereas their differentiated progeny and the commercial cell line H460 were overall more sensitive to drug-induced death. Altogether, these observations substantiate the validity of LCSC as cellular models in the search of new options for lung cancer therapy.

Figure 1.

Figure 1

Phenotypic and functional characterization of LCSCs. (a) Hematoxylin–eosin-stained sections of patient tumors (upper panels) and of mouse xenografts (lower panels) obtained with the indicated LCSC lines. Magnification × 10, bar 50 μm. LCNEC, large cell neuroendocrine carcinoma; SCC, squamous cell carcinoma; AC, adenocarcinoma. (b) Immunofluorescence analysis of cytokeratins and Nanog expression in LCSC grown as tumor spheroids (Stem) or in adherent conditions (Differentiated). DIC, differential interference contrast. Magnification × 60, × 2 zoom, bar 30 μm. (c–e) Expression of CD133, ALDH-1 (measured indirectly as ALDEFLUOR positivity) and c-kit (cKIT) detected by flow cytometry in the indicated LCSC lines. (f) Viability of LCSC lines (Stem) and of their differentiated counterparts (Diff) treated for 72 h with gemcitabine 250 μM, paclitaxel 30 ng/ml, cisplatin 5 μg/ml or etoposide 10 μg/ml. Bars represent mean±S.D.; *P≤0.05 and **P≤0.01 (n=3). The NSCLC cell line H460 was used as a control

Expression and RNA-mediated silencing of Bcl-2 family members in LCSCs

Anti-apoptotic Bcl-2 family proteins have a key role in cancer cell survival and have been recently shown to contribute specifically to the maintenance of the CSC population in hematological malignancies.13, 14 In order to evaluate the possible contribution of Bcl-2 family proteins in LCSC, we assessed the expression of Bcl-2, Bcl-XL, Mcl-1, Bim, Puma and Noxa in LCSC and in their differentiated progeny by immunoblotting and flow cytometry analysis (Figure 2a and Supplementary Figure 2a, respectively). Bcl-XL and Mcl-1 were ubiquitously expressed in LCSC and differentiated cells, whereas Bcl-2 was completely absent from two of the four LCSC lines examined, as confirmed also by analysis of LCSC RNA levels (Figure 2b). Pro-apoptotic Bim, Puma and Noxa were variably expressed, with an overall tendency to increase with differentiation (Figure 2a), in line with the higher sensitivity of differentiated cells to cytotoxic drugs. To address the relative importance of Bcl-2, Bcl-XL and Mcl-1 in LCSC survival, we silenced the expression of either factor with short duplexed RNA oligonucleotides in LCSC line LC1 (which expresses both Bcl-2 and Bcl-XL) and in LC4 (which does not express Bcl-2). In addition, we double-silenced Bcl-2/Bcl-XL in LC1. Western blot analysis of shRNA-treated LCSC showed that each siRNA pool had a prevalent effect in silencing its specific target (Figure 2c and Supplementary Figure 2c). Then, we assessed the functional outcome of Bcl-2, Bcl-XL and Mcl-1 targeting in LCSC through analysis of cell viability, caspase 3/7 activation and clonogenicity. Bcl-2 silencing resulted in a moderate (∼25%) decrease in LCSC viability, no apparent caspase 3/7 activation and modest inhibition of colony number/size in semisolid culture (Figures 2d–g). Differently, Bcl-XL silencing resulted in a marked (∼75%) reduction in cell viability and colony-forming capacity accompanied by significant caspase 3/7 activation. Mcl-1 silencing also resulted in strong (∼75%) inhibition of LCSC viability and colony formation (Figures 2d–g). Combined silencing of both Bcl-2/Bcl-XL in LC1 resulted in slightly higher inhibition of cell viability as compared with single Bcl-XL silencing (∼80%) and an increased effect on caspase activation and colony formation, with the complete disappearance of large colonies (Figures 2d–g). Single Bcl-XL silencing in LC4 resulted in strong (∼75%) inhibition of cell viability and colony formation (Figures 2d–g). These results indicate a major role for Bcl-XL and Mcl-1 in LCSC survival and a further increased importance of Bcl-XL in LCSC devoid of Bcl-2.

Figure 2.

Figure 2

Expression of Bcl-2 family members in stem/differentiated lung cancer cells and functional effects of RNA-mediated silencing. (a) Western blot analysis of Bcl-2, Bcl-XL, Bim, Puma, Noxa and Mcl-1 expression in LCSC (Stem) and their differentiated progeny (Differentiated). (b) Real-time PCR analysis of Bcl-2, Bcl-XL and Mcl-1 transcripts in LCSC. (c) Western blot analysis of Bcl-2, Bcl-XL and Mcl-1 expression in LCSC LC1 (left and center) and LC4 (right) transfected with short-hairpin RNAs non-targeting (Control) or directed against Bcl-2 (siBcl-2), Bcl-XL (siBcl-XL), combined (siBcl-2/XL) or Mcl-1 (siMcl-1). (d) Viability of LCSC LC1 and LC4 transfected as above. Bars represent mean±S.D.; *P≤0.05 and ***P≤0.001 (n=3). (e) Caspase 3/7 activation, expressed as an increase compared with controls, of LCSC LC1 and LC4 transfected as above. Bars represent mean±S.D.; **P≤0.01 and ***P≤0.001 (n=3). (f) Colony formation in soft-agar culture of LCSC LC1 and LC4 transfected as above (left). Bars represent mean±S.D.; *P≤0.05, **P≤0.01 and ***P≤0.001 (n=3). (g) Size of colonies formed in soft-agar by LCSC LC1 (left) and LC4 (right) transfected as above. Asterisks refer to the statistical significance of the number of small (black bands), medium (grey bands) and large (white bands) colonies compared between each sample and the control. Bars represent mean±S.D.; *P≤0.05, **P≤0.01 and ***P≤0.001 (n=3)

The small-molecule BH3 mimetic ABT-737 inhibits survival and self-renewal of LCSC in vitro

Given the high in vitro efficacy of combined Bcl-2/Bcl-XL silencing, we evaluated the effects of the Bcl-2/Bcl-XL inhibitor ABT-737 on the survival of LCSC and of their differentiated counterparts. ABT-737 induced a significant reduction of viability in all LCSC lines starting from a 500-nM concentration (Figure 3a). ABT-737 toxicity was generally lower in differentiated cells, which in two out of four cases were sensitive only to the 1-μM concentration (Figure 3a). In order to evaluate the relative contribution of Bcl-2 and Bcl-XL inhibition in ABT-737-mediated toxicity, we treated LCSC and differentiated cells with the Bcl-2-selective inhibitor ABT-199. Such treatment resulted only in a modest decrease in cell viability in one out of four lines (Figure 3b). Likewise, ABT-737, but not ABT-199, significantly reduced colony number and size in all the LCSC lines (Figures 3c and d). These results indicate that the effects of ABT-737 in LCSC are mainly mediated through Bcl-XL inhibition, whereas single Bcl-2 inhibition had negligible effects on cell survival. Propidium iodide staining and flow cytometry analysis of cellular DNA in ABT-737-treated LCSC showed that the decrease in cell number was actually because of an accumulation of cells with fragmented DNA, suggesting the occurrence of apoptosis.

Figure 3.

Figure 3

Effect of ABT-737 on LCSC in vitro. (a) Viability of LCSC (Stem) and their differentiated counterparts (Diff) treated with increasing doses of ABT-737 (100 nM–1 μM) for 72 h. Bars represent mean±S.D.; *P≤0.05, **P≤0.01 and ***P≤0.001 (n=5). (b) Viability of LCSC treated with increasing doses of ABT-199 (100 nM–1 μM) for 72 h. Bars represent mean±S.D.; *P≤0.05 (n=3). (c) Colony formation in soft-agar culture of LCSC plated in the presence of 500 nM ABT-737 (ABT-737) or 500 nM ABT-199 (ABT-199). Bars represent mean±S.D.; *P≤0.05 and **P≤0.01 (n=3). (d) Size of colonies formed in soft-agar assay by LCSC LC1 treated as in c. Bars represent mean±S.D.; **P≤0.01 and ***P≤0.001 (n=3). Asterisks refer to the statistical significance of the number of small (black bands), medium (grey bands) and large (white bands) colonies compared between each sample and the control. (e) Propidium iodide staining and flow cytometry analysis of LCSC untreated (upper panels) or treated for 72 h with 500 nM ABT-737 (lower panels). Numbers refer to the percentage of events included in the P6 (hypodiploid) area of the plot

ABT-737 preferentially eliminates quiescent/slow-proliferating LCSC

Quiescent/slow-proliferating CSCs have been identified in several tumors17, 18, 19, 20, 21 and in several cases have been specifically shown to represent the chemotherapy-resistant population (reviewed in Moore and Lyle22). In order to determine whether LCSC populations separated according to proliferation rates were differently affected by ABT-737 treatment, we stained LCSC with PKH26. This lipophilic dye is segregated between daughter cells with each round of division and therefore, after several days, is retained at high levels only by slow-proliferating cells (Figure 4a). Ten days after PKH staining, LCSCs were sorted into PKHlow and PKHhigh populations according to dye retention (Figure 4b), treated with ABT-737 or gemcitabine and cell viability was evaluated after 72 h as compared with mock-sorted cells. Quiescent/slow-proliferating PKHhigh LCSCs were significantly more sensitive to ABT-737 than rapidly proliferating PKHlow cells, indicating that quiescent LCSCs have an increased dependence on Bcl-2 family proteins for survival (Figure 4c). By contrast, gemcitabine was more effective on rapidly proliferating PKHlow cells, in line with the inability of chemotherapy to eradicate a fraction of therapy-resistant LCSC. Then, we analyzed the levels of pro- and anti-apoptotic Bcl-2 family members in PKHlow and PKHhigh cells using flow cytometry in two LCSC lines (Figure 4d and Supplementary Figure 3) and we found that Bcl-XL was consistently expressed at higher levels in PKHhigh cells, according to their increased sensitivity to ABT-737. Bcl-2 was also expressed at higher levels in PKHhigh LC1. In addition, we found that Noxa was significantly more expressed by quiescent PKHhigh cells as compared with PKHlow cells in the two LCSC lines examined, although the significance of this finding is unclear. The other Bcl-2 family members Mcl-1, Bim and Puma showed a trend towards a higher expression in PKHhigh cells but the overall difference between PKHlow and PKHhigh cells was not significant. Altogether, these results substantiate a role of Bcl-XL in the survival of quiescent LCSC and support further investigations on targeted therapeutic strategies.

Figure 4.

Figure 4

ABT-737 preferentially eliminates quiescent/slow cycling LCSC. (a) Representative confocal image of a LCSC spheroid (line LC4) 10 days after PKH26 staining. Red: PKH26, blue: Dapi. Magnification × 60, bar 10 μm. (b) Representative FACS profile of LCSC cell populations (line LC4) selected for sorting 10 days after PKH24 staining (PKH26 day 10) as compared with the unstained control (Untreated). (c) LCSC lines LC1 and LC4 mock-sorted (Untreated) or sorted into PKH26 high and PKH26 low populations were incubated for 72 h with 500 nM ABT-737 or 250 μM gemcitabine and cell viability was assessed as described in Materials and Methods. Bars represent mean±S.D.; *P≤0.05, **P≤0.01 and ***P≤0.001 (n=3). (d) Levels of Bcl-2 family members in PKH26 high (PKH high) and PKH26 low (PKH low) LCSC populations (lines LC1 and LC4) measured by flow cytometry and expressed as normalized mean fluorescence intensity. Bars represent the mean±S.D.; *P≤0.05, **P≤0.01 and ***P≤0.001 (n=4). Raw data of one representative experiment are shown in Supplementary Figure 3

Functional characterization of ABT-737-induced death in LCSC

To gain insights into the mechanisms of ABT-737-induced death in LCSC, we first examined the involvement of mitochondria, which represent the preferential cellular location of Bcl-2 and Bcl-XL and the hub of apoptosis-related events.23 First, we evaluated mitochondrial membrane potential through JC-1 staining of live LCSC MCS. Whereas untreated MCS showed red JC-1 aggregates typical of healthy mitochondria, a significant proportion of ABT-737-treated MCS displayed only green JC-1 monomers, indicating the occurrence of mitochondrial depolarization (Figure 5a). Immunofluorescence staining of dissociated LCSC showed redistribution of cytochrome c and apoptosis-inducing factor (AIF) from mitochondria to the nucleus and cytoplasm of ABT-737-treated cells (Figures 5b and c). Mitochondrial depolarization, together with cytochrome c and AIF release, indicate that ABT-737-induced death has some features of apoptosis. Modest (three- to sixfold increase) caspase 3/7 activation was detectable in 2/4 LCSC lines treated with ABT-737, reaching maximal levels after 16 h of stimulation (Figures 5d and e). As overproduction of reactive oxygen species (ROS) and reactive nitrogen species (RNS) has been implicated in cell death induction, we determined whether oxidative/nitrosative stress was implicated in ABT-737-induced death in LCSC. To do this, we treated cells with ABT-737 in the presence of radical scavengers such as superoxide dismutase, catalase (ROS scavengers), carboxy-PTIO and uric acid (blockers of nitrogen radicals). Surprisingly, neither of these compounds was able to significantly reduce ABT-737-induced death (Figure 5f), suggesting that ROS/RNS are dispensable for ABT-737-induced LCSC death. Finally, we determined whether ABT-737-induced death could be affected by caspase inhibition or RIP-1 inhibition, thus indicating prevalent features of caspase-mediated apoptosis or necroptosis, respectively. LCSCs were treated for 48 h with ABT-737 in the presence of the pan-caspase inhibitor zVAD, of the RIP-1 inhibitor necrostatin or with a combination of the two (Figure 5g). To assess the possible baseline toxicity of the inhibitors, LCSCs were also treated with the single drugs or with their combination in the absence of ABT-737. Controls of inhibitor efficacy were represented by Jurkat leukemia cells treated with TRAIL and by L929 mouse fibrosarcoma cells treated with TNF (Supplementary Figure 4). zVAD and necrostatin as single agents were unable to inhibit ABT-737-induced LCSC death, which was even slightly enhanced in the presence of the inhibitors. The simultaneous presence of the two inhibitors was similarly unable to block ABT-737-induced death, indicating that it occurs through mechanisms alternative to caspase-dependent apoptosis or necroptosis.

Figure 5.

Figure 5

Characterization of ABT-737-induced death in LCSC. (a) Left: immunofluorescence staining of live intact spheroids, untreated or treated with 500 nM ABT-737 for 48 h with the mitochondrial membrane sensor JC-1, indicating the presence of depolarized mitochondria as loss of red JC-1 aggregates. Magnification × 60, × 3.5 zoom, bar 20 μm. Right: quantification of JC1 monomers and aggregates in untreated and ABT-737-treated cells on confocal samples; **P≤0.01 (n=3). (b) Left: cytochrome c localization in LCSC pre-stained with Mitotracker Red and untreated or treated with 500 nM ABT-737 for 48 h. Magnification × 60, × 3 zoom, bar 20 μm. Right: quantification of Mitotracker/cytochrome c colocalization in confocal samples; **P≤0.01 (n=3). (c) Left: localization of apoptosis inducing factor (AIF) in LCSC pre-stained with Mitotracker Red and untreated or treated with 500 nM ABT-737 for 48 h. Magnification × 60, zoom × 3, bar 20 μm. Right: quantification of Mitotracker/AIF colocalization in confocal samples; *P≤0.05 (n=3). The LCSC line LC1 was used to produce images shown in ac. (d) Caspase 3/7 activation, expressed as fold increase as compared with untreated samples, in LCSC lines treated for 72 h with 500 nM ABT-737. The hematopoietic cell line TF-1 treated with 0.5 μM doxorubicine was used as positive control. Bars represent mean±S.D.; **P≤0.01 (n=3). (e) Time-course evaluation of caspase 3/7 activation in LC1 during the first 48 h of treatment with 500 nM ABT-737. (f) Viability of LCSC treated for 72 h with 500 nM ABT-737, alone (ABT-737) or in the presence or in the absence of free radical scavengers: SOD, superoxide dismutase; CAT, catalase; CPTIO, 2-(4-Carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide. Bars represent mean±S.D.; **P≤0.01 (n=4). (g) Viability of LCSC lines LC1-4 treated for 48 h with either 500 nM ABT-737, 40 μM zVAD, 25 μM necrostatin or the indicated combinations; *P≤0.05, **P≤0.01 (n=3)

ABT-737 blocks the growth of CSC-derived tumor xenografts and reduces stem cell content in vivo

To determine the in vivo antitumor efficacy of ABT-737, we generated subcutaneous tumor xenografts by injecting LCSC into immunocompromised (NOD/SCID gamma-chain-deficient) mice. When tumors reached the approximate volume of 200–250 mm3, mice were treated for 3 weeks with either vehicle alone, gemcitabine or ABT-737. Experiments were performed both with LC1 (Figure 6a) and LC4 (Figure 6b) LCSC lines, as representatives of cells expressing both Bcl-2/Bcl-XL or only Bcl-XL, respectively. In both cases, ABT-737 treatment abrogated tumor growth, whereas gemcitabine treatment had only a moderate inhibitory effect (Figures 6a and b). Hematoxylin–eosin evaluation of tissue structure showed the presence of necrotic areas and decreased cellularity in ABT-737-treated samples as compared with control or gemcitabine-treated samples (Figure 6c). To gain more insights into the ability of ABT-737 to target LCSC in vivo, we performed double stainings for CD133 and either terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL; to detect the occurrence of DNA fragmentation), poly-ADP-ribose-polymerase (PARP) cleavage or caspase-3 activation in tumor xenografts of the LCSC line LC1 treated with ABT-737. Positivity for CD133 was often associated with TUNEL staining, cleaved PARP and active caspase-3 in ABT-737-treated samples but not in chemotherapy-treated samples, indicating that ABT-737 treatment induces LCSC death in vivo (Supplementary Figure 5). This hypothesis was substantiated by the evaluation of residual LCSC numbers at the end of treatment, which was measured with FACS analysis of ALDH activity (ALDEFLUOR) in dissociated xenograft cells. We found a significantly reduced content of ALDEFLUOR-positive cells in ABT-737-treated xenografts as compared with control xenografts derived from LC1 and LC4 (Figures 6d and e). By contrast, gemcitabine treatment resulted in a significant increase in ALDEFLUOR-positive cells in LC1 and in LC4, suggesting that gemcitabine antineoplastic activity is due mainly to an effect on non-stem tumor cells.

Figure 6.

Figure 6

ABT-737 blocks the growth of LCSC-derived xenografts and reduces LCSC content in vivo. (a) Growth of tumor xenografts derived from the LCSC line LC1 in mice treated with vehicle (Control), gemcitabine or ABT-737 as described in Materials and Methods (left), tumor weight at the end of the experiment and representative picture of the tumors (right). Bars represent mean±S.D.; *P≤0.05 and ***P≤0.001 (n=3). (b) Growth of tumor xenografts derived from the LCSC line LC4 and treated as above (left), tumor weight at the end of the experiment and representative picture of the tumors (right). Bars represent mean±S.D.; ***P≤0.001 (n=3). (c) Hematoxylin–eosin-stained sections of xenografts derived from the LCSC lines LC1 and LC4 after 3 weeks of treatment with vehicle (Control), gemcitabine or ABT-737 as described above; × 10 magnification, bar 50 μm. (d) Fold variation of ALDEFLUOR-positive cells in gemcitabine- and ABT-737-treated tumor xenografts obtained with the LC1 LCSC line as compared with vehicle-treated controls. Bars represent mean±S.D.; **P≤0.01 and ***P≤0.001 (n=3). (e) Fold variation of ALDEFLUOR-positive cells in gemcitabine and ABT-737-treated tumor xenografts obtained with the LC4 LCSC line as compared with vehicle-treated controls. Bars represent mean±S.D.; *P≤0.05

Discussion

The advent of molecularly targeted therapies has increased survival in a subset of lung cancer patients but did not radically change disease outcome because of the invariable occurrence of therapy resistance and tumor relapse. CSCs have been indicated as the population responsible for therapy resistance, because of their increased availability of drug-protective mechanisms.24 Quiescence is a common feature of drug-resistant cells and has been associated with stem cell traits in several tumors.22 In glioblastoma, quiescent CSCs have been demonstrated to selectively resist temozolomide treatment and to regenerate the tumor after chemotherapy.25 Interestingly, quiescent CSC populations in leukemias have been recently shown to express high levels of Bcl-2 and to rely on this factor for oxidative phosporylation, which represents their main energy-generating pathway. In AML and CML, Bcl-2 inhibition by ABT-737 selectively targets quiescent CSC, representing a proof-of-principle for investigating a similar approach in solid tumors.13, 14 NSCLC commercial cell lines have been reported to be moderately sensitive to ABT-737 as a single agent.26, 27 However, lung tumor cells that survive treatment with EGFR kinase inhibitors show decreased proliferation and increased sensitivity to ABT-737,28 suggesting the existence of a link between quiescence, Bcl-2 family members and drug resistance in lung cancer cells.

In patient-derived LCSC spheroids we found a constant expression of Bcl-XL, but not Bcl-2, confirming the observations reported by Fan et al.28 in lung cancer cell lines. Importantly, Bcl-XL inhibition was more effective than Bcl-2 inhibition in decreasing LCSC viability and clonogenic capacity in LCSC lines expressing both factors. This observation is consistent with the fact that Bcl-XL binds a larger number of pro-apoptotic partners than Bcl-2 and seems to have a major role in the control of drug-induced apoptosis,29 thus emerging as a promising therapeutic target. However, future targeted therapies specifically directed against Bcl-XL would have to face the problem of therapy-induced thrombocytopenia, as Bcl-XL has been shown to be essential for platelet survival.30 One way to overcome this obstacle may be the design of novel Bcl-XL inhibitors with selective toxicity against tumor cells but not against platelets, based on the difference between the survival complexes active in the two cellular systems (Bcl-XL/Bim in tumor cells and Bcl-XL/Bak in platelets).29

ABT-737 induced in LCSC a form of cell death that was insensitive to inhibition of caspases, of ROS/RNS and of necroptosis. The occurrence of mitochondrial depolarization and cytochrome c release suggests that ABT-737 may induce in LCSC a non-canonical form of apoptotic cell death that can include caspase activation as a non-essential pathway. Notably, ABT-737-induced death has been shown to be ROS-dependent in other cellular systems.31, 32 This difference may be ascribed to the peculiar oxidative state of CSCs, which have been reported to have low levels of ROS and increased expression of free radical-scavenging systems.9, 33

The ability of ABT-737 to target LCSC was confirmed in vivo, where ABT-737 treatment arrested the growth of LCSC-derived tumors and significantly reduced the amount of stem cells present in the xenograft. This finding has important implications for the therapy of NSCLC, suggesting that treatment with ABT-737 could effectively complement a first line of therapy with chemotherapy or tyrosine kinase inhibitors in order to target residual quiescent LCSC. Owing to its ability to preferentially kill quiescent LCSC, ABT-737 treatment may not result in a fast macroscopic reduction of tumor size but may have long-term beneficial effects on the rates of tumor growth and relapse. Clinical trials designed to specifically evaluate this endpoint will help to clarify the usefulness of Bcl-XL inhibition in the treatment of NSCLC patients.

Materials and Methods

Antibodies and reagents

ABT-737 was provided by AbbVie (Abbott Park, IL, USA). ABT-199 was purchased from Selleckchem (Munich, Germany). CD133/1-PE (used for flow cytometry) and CD133/2 (used for immunofluorescence) were from Miltenyi Biotec (Bergisch Gladbach, Germany). ALDEFLUOR assay was from Aldagene (Durham, NC, USA). Nanog and AIF antibodies were from Cell Signaling Technology Inc. (Danvers, MA, USA). Pan-cytokeratin antibody was from Dako (Glostrup, Denmark). Cytochrome c antibody was from BD Biosciences (San José, CA, USA). Cleaved caspase 3 antibody was from Upstate Biotechnology (Lake Placid, NY, USA). Alexa Fluor-conjugated secondary antibodies were from Invitrogen-Molecular Probes (Eugene, OR, USA). TUNEL was from Roche Molecular Biochemicals (Indianapolis, IN, USA). Bcl-XL (clone H5), Bcl-2 (clone DC-21), Mcl-1 (clone C-2), Bim (clone H-5), Puma (clone H-136), Noxa (clone FL-54) and necrostatin were from Santa Cruz Biotechnology (Santa Cruz, CA, USA). Monoclonal antibodies anti-actin, tubulin and cleaved PARP were from Sigma Aldrich (St Louis, MO, USA). Secondary anti-mouse and anti-rabbit antibodies coupled to horseradish peroxidase were from GE Healthcare (Uppsala, Sweden).

CSC isolation and culture

LCSCs were isolated as previously described from surgically resected tumor samples through selective culture in serum-free mediun containing EGF 20 ng/ml and basic FGF 10 ng/ml (PeproTech, London, UK).4 Nontreated polystyrene flasks (Thermo Fischer Scientific, Waltham, MA, USA) were used to reduce cell adherence and support growth of LCSC as multicellular spheres. Regular thawing of early-passage cells was carried out to avoid the accumulation of culture-related changes. LCSC differentiation was obtained by culture for 24 h in DMEM 10% plus fetal bovine serum (Gibco-Invitrogen, Carlsbad, CA, USA) and for 5 additional days in Bronchial Epithelial Cell Growth Medium (Cambrex, East Rutherford, NJ, USA).

Viability assay

LCSC viability upon treatment with chemotherapeutic drugs, ABT-737 and other inhibitors was determined with the CellTiter-Glo assay (Promega, Madison, WI, USA) according to the manufacturer's instructions. Briefly, 1.5 × 103 dissociated LCSC, H460, Jurkat or TF-1 cells were plated in 96-well flat bottom plates. Chemotherapeutic agents were added at the following final concentrations: gemcitabine 250 μM, paclitaxel 30 ng/ml, cisplatin 5 μg/ml and etoposide 10 μg/ml. Pan-caspase inhibitor z-Val-Ala-Asp-fluoromethylketone (40 μM; Bachem, Bubendorf, Switzerland) or 25 μM necrostatin (Santa Cruz Biotechnology) were added 1 h before ABT-737 and cells were processed after 3 additional days. TNF-α was kindly provided by Dr. TL Haas (see Acknowledgements and studies by Haas et al.,34 Enyedy et al. 35 and Ewald et al.36). Free radical scavengers used to inhibit ROS (superoxide dismutase and catalase 1 μg/ml each), nitric oxide (carboxy-PTIO 0.1 μM) and peroxynitrite (uric acid 1 μM) were added 24 h before ABT-737 and cell viability was determined after 3 additional days of incubation.

RNA interference

In all, 1.25 × 105 LCSCs were plated on six-well plates in antibiotic-free culture medium and incubated for 4 h at 37 °C in the presence of 320 nM ON-TARGETplus SMARTpool siRNA (D-001810-01-055 Non-targeting siRNA, L-003307-00-0005 Human Bcl-2 and L-003458-00-0005 Human Bcl-XL, M-004501-08-0005 Human Mcl-1 Dharmacon/Thermo Scientific, Lafayette, CO, USA) and 5 μl Lipofectamine 2000 (Invitrogen). After 4 h the transfection mixture was substituted with LCSC culture medium and cells were analyzed for protein expression, viability and caspase activation at the indicated times.

PKH26 staining

LCSC spheroids were dissociated with TrypLE Express (Invitrogen) and stained for 1 h at 37 °C with 1 : 500 PKH26 (Sigma-Aldrich), then washed extensively with PBS and cultured for 10 additional days. Cells were then separated with a FACS Aria (BD Biosciences) into PKHlow and PKHhigh fractions. Control cells did not undergo PKH26 staining but were mock-sorted to induce similar stress conditions as in the other sorted samples.

Western blotting

LCSC spheroids were lysed in 1% NP40 lysis buffer (20 mM Tris HCl pH 7.2, 200 mM NaCl, 1% NP40) supplemented with protease inhibitor cocktail and phosphatase inhibitor cocktails I and II (all from Sigma-Aldrich). Lysate concentrations were determined by the Bradford assay (Bio-Rad Laboratories, Hercules, CA, USA). Proteins were loaded on a 4–12% precast gel (Invitrogen) and transferred to nitrocellulose membranes. Blots were blocked with TBST 5% nonfat dry milk and incubated overnight at 4 °C with primary antibodies, and then incubated for 45 min with secondary HRP-conjugated antibodies dissolved in TBST 1% BSA. Chemiluminescence was detected with Super SignalWest Pico (Thermo Fisher Scientific/Pierce, Waltham, MA, USA).

Clonogenicity assay

The clonogenic capacity of LCSC was assessed by plating 500 cells per well in triplicate in 24-well plates containing a soft agar bilayer (0.3% top and 0.4% bottom layer, SeaPlaque Agarose, Cambrex) with or without ABT-737 or ABT-199. Cultures were incubated at 37 °C for 21 days. Colonies were stained with crystal violet (0.01% in 10% methanol) and counted under a light microscope. Data shown represent the percentage of colonies normalized to the number of plated cells.

Cell cycle, apoptosis, necroptosis and caspase activation assays

Cell cycle analysis was performed by staining dissociated LCSC spheroids with 50 μg/ml propidium iodide dissolved in buffer 0.1% trisodium citrate, 9.65 mM NaCl, 0.1% NP40, 200 μg/ml RNAse for 1 h at room temperature. Samples were analyzed with a FACS Canto flow cytometer (BD Biosciences). Evaluation of caspase activity was determined with the Apo-ONE Homogeneous Caspase-3/7 Assay kit (Promega) at indicated times. Luminescent or fluorimetric assay signals were read using a DTX880 multimode microplate reader (Beckman Coulter, Brea, CA, USA). The occurrence of necroptosis was evaluated by treating LCSC with 500 ng/ml ABT-737 plus 25 μM necrostatin for 48 h or L929 mouse fibrosarcoma cells with 100 ng/ml TNF plus zVAD 40 μM plus 25 μM necrostatin for 24 h.

Quantitative real-time PCR

Total RNA was extracted with TRIzol (Invitrogen). RNA (1 μg) was reverse-transcribed with M-MLV reverse transcriptase (Gibco-Invitrogen) and cDNA was used as template in the subsequent PCR reactions. SYBR Green specific primers (Life Technologies, Carlsbad, CA, USA) were used for Bcl-2 (forward primer: 5′-CGGAGGCTGGGATGCCTTTG-3′ reverse primer: 5′-GATGCAAGCTCCCACCAGGG-3′), Bcl-XL (forward primer: 5′-GCCTAAGGCGGATTTGAATCTCT-3′ reverse primer: 5′-GCTCCCGGTTGCTCTGAGAC-3′) and Mcl-1 (forward primer: 5′-AGGCTGGGATGGGTTTGTGG-3′ reverse primer: 5′-TGGCTAGGTTGCTAGGGTGC-3′) quantitative PCR. Normalization was performed using GAPDH as reference (forward primer: 5′-GAGTCAACGGATTTGGTCGT-3′ reverse primer: 5′-TGGAAGATGGTGATGGGATT-3′). Values are expressed in terms of 2−ΔΔCt where ΔΔCtCtsample −ΔCtcalibrator.; ΔCt is the difference in threshold cycles between the specific RNA and GAPDH amplicons, and Ct is a parameter given by the StepOne Plus Real-Time PCR software (Life Technologies) by negative correlation with an internal reference dye (ROX).

Flow cytometry

For flow cytometry assays, MCS or xenograft-derived cells were dissociated as single cells, washed with PBS and incubated with the appropriate dilutions of control or specific antibodies for 45 min at room temperature. Fluorescence intensity of labeled cells was evaluated with a FACS Canto (BD Biosciences). 7-Aminoactinomycin D (10 μg/ml; 7-AAD; Sigma-Aldrich) was added for dead cell exclusion. For the detection of intracellular antigens, cells were fixed in 2% paraformaldehyde and permeabilized in 0.1% Triton X-100 (Bio-Rad Laboratories) and then incubated 45 min at room temperature with primary antibodies dissolved in PBS 1% BSA. After being washed in PBS, cells were incubated with AlexaFluor-647 secondary antibodies for 30 min at room temperature in the dark.

Immunofluorescence analysis of cultured cells and xenograft sections

LCSC spheroids or dissociated cells were cytospun on polylysine-coated glass slides, whereas differentiated cells were grown on matrigel-coated coverslips. Cells were fixed in 2% paraformaldehyde and permeabilized in 0.1% Triton X-100 and then incubated overnight at 4 °C with primary antibodies dissolved in PBS 3% BSA. After being washed in PBS, cells were incubated with Alexa Fluor-conjugated secondary antibodies for 45 min at room temperature in the dark, stained for 15 min with Dapi (Invitrogen) diluted in PBS 3% BSA and mounted with Prolong-Gold antifade (Invitrogen). Negative controls were prepared by omitting staining with the primary antibody. To determine mitochondrial membrane potential in live cells, LCSC spheroids were incubated for 1 h at 37 °C with 10 μM JC-1 (Invitrogen). Cytochrome c and AIF release from mitochondria were determined by staining live cells for 30 min at 37 °C with 100 nM Mitotracker CMXRos (Invitrogen). Cells were then fixed, permeabilized and incubated with the respective monoclonal antibodies as described above. Tumor xenografts previously embedded in optimal cutting temperature compound (OCT) and frozen at −80 °C were cut into 5-μm-thick tumor sections with a cryomicrotome (Kriostat 1720 MGW Leitz, Melville, NY, USA). Sections were fixed in 4% paraformaldehyde and permeabilized in 0.1% Triton X-100, then stained overnight at 4 °C with primary antibodies, incubated with fluorochrome-conjugated secondary antibodies and counterstained with Dapi. For in situ apoptosis detection in tumor xenograft sections, TUNELreaction was performed using the In situ Cell Death Detection kit (Roche Molecular Biochemicals) according to the manufacturer's instructions. Slides were analyzed using an Olympus FV-1000 confocal microscope equipped with Ultraplan Apochromatic × 60 N.A.1.35 and × 40 N.A. objectives and the Olympus Fluoview software (Olympus, Tokyo, Japan).

Mice treatment

All animal procedures were performed according to the national Animal Experimentation guidelines (D.L.116/92) upon approval of the experimental protocol by the Institutional Animal Experimentation Committee. Female 6–8 weeks old NOD.Cg-Prkdcscid Il2rgtm1Wjl/SzJ (NSG) mice (The Jackson Laboratory, Bar Harbor, ME, USA) were subcutaneously injected with 5 × 105 cells resuspended in 100 μl Matrigel/LCSC medium (1 : 1). Mice were kept under pathogen-free conditions with food and water ad libitum. Tumor diameter was measured by using an external digital caliper and calculated as the mean value between the shortest and the longest diameters. When tumor diameters reached an approximate volume of 200–250 mm3, the treatment was started. The control group (n=6) was treated daily by injecting intraperitoneally (i.p.) a vehicle solution composed of 100 μl of 30% PEG, 5% Tween 80 and 65% D5W (5% dextrose in water) at pH 4–4.5. The ABT-737 group (n=6) was treated by injecting i.p. the compound daily (100 mg/kg) dissolved in vehicle solution. The chemotherapy group (n=6) was treated by injecting i.p. gemcitabine (60 mg/kg) resuspended in PBS twice a week. Three weeks after the beginning of treatment, the mice were killed by cervical dislocation and tumors were removed, weighted and processed for flow cytometry analysis. For analysis of DNA fragmentation (TUNEL), PARP or caspase-3 cleavage, a short-term treatment with ABT-737 was performed by injecting i.p. the vehicle solution, ABT-737 150 mg/kg or gemcitabine 100 mg/kg. Forty-eight hours after treatment mice were killed and tumors were removed, embedded in OCT and frozen at −80 °C for subsequent immunofluorescence analysis.

Statistical analysis

The statistical significance of the results was evaluated by ANOVA and Bonferroni post tests. All statistical tests were performed using GraphPad Prism v.4.0 for Windows (GraphPad Software, San Diego, CA, USA, www.graphpad.com) and the threshold for statistical significance was set at 0.05. P-values are displayed on the graphs using a single asterisk for significances ranging from 0.05 to 0.01, two asterisks for values between 0.001 and 0.01 and three asterisks for values below 0.001.

Acknowledgments

This work was supported by the Associazione Italiana per la Ricerca sul Cancro (AIRC) grant ‘Molecular Oncology 5 x Mille Program' to RDM. We thank Stefano Guida (Istituto Superiore di Sanità, ISS) for excellent technical assistance, Alessandra Boe (ISS) for flow cytometry assistance, Giuseppe Loreto (ISS) for graphics, Emanuela Pilozzi (S. Andrea Hospital, Rome) for providing NSCLC tumor samples, Donatella Pietraforte (ISS) for providing radical scavengers and advice, Ilio Vitale (Regina Elena National Cancer Institute, Rome) for helpful discussion, Tobias L. Haas (Regina Elena National Cancer Institute, Rome) and Henning Walczak (Imperial College, London) for providing TNF-α and LZ-TRAIL.

Glossary

NSCLC

non-small cell lung cancer

Bcl-XL

B-cell lymphoma-extra large

LCSC

lung cancer stem cells

Bcl-2

B-cell lymphoma 2

CSC

cancer stem cell

ALDH

aldehyde dehydrogenase

ATP

adenosine triphosphate

Mcl-1

myeloid-cell leukemia 1

BH3

Bcl-2 homology 3 domain

AML

acute myeloid leukemia

CML

chronic myeloid leukemia

EGF

epidermal growth factor

FGF

fibroblast growth factor

MCS

multicellular spheroids

CD133

cluster of differentiation 133

shRNA

short hairpin RNA

siRNA

small interfering RNA

AIF

apoptosis-inducing factor

ROS

reactive oxygen species

RNS

reactive nitrogen species

carboxy-PTIO

2-(4-carboxyphenyl)-4,4,5,5-tetramethylimidazoline-1-oxyl-3-oxide

RIP-1

receptor-interacting protein 1

zVAD

z-Val-Ala-DL-Asp(OMe)-fluoromethylketone

TRAIL

TNF-related apoptosis-inducing ligand

TNF

tumor necrosis factor

NOD/SCID gamma-chain deficient

non-obese diabetic/severe combined immunodeficiency gamma-chain deficient

TUNEL

terminal deoxynucleotidyl transferase dUTP nick-end labeling

PARP

poly-ADP-ribose-polymerase

FACS

fluorescence-activated cell sorting

EGFR

EGF receptor

Bak

Bcl-2 homologous antagonist/killer

PE

phycoerythrin

DMEM

Dulbecco's modified Eagle's medium

PBS

phosphate-buffered saline

TBST

tris-buffered saline tween 20

HRP

horseradish peroxidase

M-MLV

Moloney murine leukemia virus

cDNA

complementary DNA

7-AAD

7-aminoactinomycin D

BSA

bovine serum albumin

DAPI

4′,6-diamidino-2-phenylindole

OCT

optimal cutting temperature compound

PEG

polyethylene glycol

D5W

5% dextrose in water

ANOVA

analysis of variance

LCNEC

large-cell neuroendocrine carcinoma

SCC

squamous cell carcinoma

AC

adenocarcinoma

DIC

differential interference contrast

WT

wild type

Mut

mutated

Stem

LCSC lines

Diff

differentiated

CAT

catalase

The authors declare no conflict of interest.

Footnotes

Supplementary Information accompanies this paper on Cell Death and Differentiation website (http://www.nature.com/cdd)

Author contributions

Author contributions GZ, FF, MT, TA and PC performed experiments, MBa and MLDA provided essential support with animal experiments, MBi was responsible for flow cytometry analysis, GSe and AE produced the LCSC lines, GSt and RDM supervised the study, AZ wrote the manuscript, designed and supervised the experiments.

Edited by D Green

Supplementary Material

Supplementary Information

References

  1. Jemal A, Bray F, Center MM, Ferlay J, Ward E, Forman D. Global cancer statistics. CA: a cancer journal for clinicians. 2011;61:69–90. doi: 10.3322/caac.20107. [DOI] [PubMed] [Google Scholar]
  2. Malvezzi M, Arfe A, Bertuccio P, Levi F, La Vecchia C, Negri E. European cancer mortality predictions for the year 2011. Ann Oncol. 2011;22:947–956. doi: 10.1093/annonc/mdq774. [DOI] [PubMed] [Google Scholar]
  3. Eramo A, Haas T, De Maria R. Lung cancer stem cells: tools and targets to fight lung cancer. Oncogene. 2010;29:4625–4635. doi: 10.1038/onc.2010.207. [DOI] [PubMed] [Google Scholar]
  4. Eramo A, Lotti F, Sette G, Pilozzi E, Biffoni M, Di Virgilio A, et al. Identification and expansion of the tumorigenic lung cancer stem cell population. Cell Death Differ. 2007;15:504–514. doi: 10.1038/sj.cdd.4402283. [DOI] [PubMed] [Google Scholar]
  5. Levina V, Marrangoni A, Wang T, Parikh S, Su Y, Herberman R, et al. Elimination of human lung cancer stem cells through targeting of the stem cell factor–c-kit autocrine signaling loop. Cancer Res. 2010;70:338–346. doi: 10.1158/0008-5472.CAN-09-1102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Levina V, Marrangoni AM, DeMarco R, Gorelik E, Lokshin AE. Drug-selected human lung cancer stem cells: cytokine network, tumorigenic and metastatic properties. PLoS One. 2008;3:e3077. doi: 10.1371/journal.pone.0003077. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Jiang F, Qiu Q, Khanna A, Todd NW, Deepak J, Xing L, et al. Aldehyde dehydrogenase 1 is a tumor stem cell-associated marker in lung cancer. Mol Cancer Res. 2009;7:330–338. doi: 10.1158/1541-7786.MCR-08-0393. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Zhang WC, Shyh-Chang N, Yang H, Rai A, Umashankar S, Ma S, et al. Glycine decarboxylase activity drives non-small cell lung cancer tumor-initiating cells and tumorigenesis. Cell. 2012;148:259–272. doi: 10.1016/j.cell.2011.11.050. [DOI] [PubMed] [Google Scholar]
  9. Ye XQ, Li Q, Wang GH, Sun FF, Huang GJ, Bian XW, et al. Mitochondrial and energy metabolism-related properties as novel indicators of lung cancer stem cells. Int J Cancer. 2011;129:820–831. doi: 10.1002/ijc.25944. [DOI] [PubMed] [Google Scholar]
  10. Baiocchi M, Biffoni M, Ricci-Vitiani L, Pilozzi E, De Maria R. New models for cancer research: human cancer stem cell xenografts. Curr Opin Pharmacol. 2010;10:380. doi: 10.1016/j.coph.2010.05.002. [DOI] [PubMed] [Google Scholar]
  11. Kelly PN, Strasser A. The role of Bcl-2 and its pro-survival relatives in tumourigenesis and cancer therapy. Cell Death Differ. 2011;18:1414–1424. doi: 10.1038/cdd.2011.17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Davids MS, Letai A. Targeting the B-cell lymphoma/leukemia 2 family in cancer. J Clin Oncol. 2012;30:3127–3135. doi: 10.1200/JCO.2011.37.0981. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Lagadinou ED, Sach A, Callahan K, Rossi RM, Neering SJ, Minhajuddin M, et al. BCL-2 inhibition targets oxidative phosphorylation and selectively eradicates quiescent human leukemia stem cells. Cell Stem Cell. 2013;12:329–341. doi: 10.1016/j.stem.2012.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Goff DJ, Sadarangani A, Chun H-J, Barrett CL, Krajewska M, Leu H, et al. A Pan-BCL2 inhibitor renders bone-marrow-resident human leukemia stem cells sensitive to tyrosine kinase inhibition. Cell Stem Cell. 2013;12:316–328. doi: 10.1016/j.stem.2012.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Akunuru S, Zhai QJ, Zheng Y. Non-small cell lung cancer stem/progenitor cells are enriched in multiple distinct phenotypic subpopulations and exhibit plasticity. Cell Death Dis. 2012;3:e352. doi: 10.1038/cddis.2012.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Bartucci M, Svensson S, Romania P, Dattilo R, Patrizii M, Signore M, et al. Therapeutic targeting of Chk1 in NSCLC stem cells during chemotherapy. Cell Death Differ. 2011;19:768–778. doi: 10.1038/cdd.2011.170. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Gao M, Choi Y, Kang S, Youn J, Cho N. CD24+ cells from hierarchically organized ovarian cancer are enriched in cancer stem cells. Oncogene. 2010;29:2672–2680. doi: 10.1038/onc.2010.35. [DOI] [PubMed] [Google Scholar]
  18. Pece S, Tosoni D, Confalonieri S, Mazzarol G, Vecchi M, Ronzoni S, et al. Biological and molecular heterogeneity of breast cancers correlates with their cancer stem cell content. Cell. 2010;140:62–73. doi: 10.1016/j.cell.2009.12.007. [DOI] [PubMed] [Google Scholar]
  19. Roesch A, Fukunaga-Kalabis M, Schmidt EC, Zabierowski SE, Brafford PA, Vultur A, et al. A temporarily distinct subpopulation of slow-cycling melanoma cells is required for continuous tumor growth. Cell. 2010;141:583–594. doi: 10.1016/j.cell.2010.04.020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Dembinski JL, Krauss S. Characterization and functional analysis of a slow cycling stem cell-like subpopulation in pancreas adenocarcinoma. Clinical Exp Metastasis. 2009;26:611–623. doi: 10.1007/s10585-009-9260-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Francescangeli F, Patrizii M, Signore M, Federici G, Di Franco S, Pagliuca A, et al. Proliferation state and polo-like kinase1 dependence of tumorigenic colon cancer cells. Stem Cells. 2012;30:1819–1830. doi: 10.1002/stem.1163. [DOI] [PubMed] [Google Scholar]
  22. Moore N, Lyle S. Quiescent, slow-cycling stem cell populations in cancer: a review of the evidence and discussion of significance. J Oncol. 2010;2011:396076. doi: 10.1155/2011/396076. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Martinou J-C, Youle RJ. Mitochondria in apoptosis: Bcl-2 family members and mitochondrial dynamics. Dev Cell. 2011;21:92–101. doi: 10.1016/j.devcel.2011.06.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Visvader JE, Lindeman GJ. Cancer stem cells: current status and evolving complexities. Cell Stem Cell. 2012;10:717–728. doi: 10.1016/j.stem.2012.05.007. [DOI] [PubMed] [Google Scholar]
  25. Chen J, Li Y, Yu T-S, McKay RM, Burns DK, Kernie SG, et al. A restricted cell population propagates glioblastoma growth after chemotherapy. Nature. 2012;488:522–526. doi: 10.1038/nature11287. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Oltersdorf T, Elmore SW, Shoemaker AR, Armstrong RC, Augeri DJ, Belli BA, et al. An inhibitor of Bcl-2 family proteins induces regression of solid tumours. Nature. 2005;435:677–681. doi: 10.1038/nature03579. [DOI] [PubMed] [Google Scholar]
  27. Wesarg E, Hoffarth S, Wiewrodt R, Kröll M, Biesterfeld S, Huber C, et al. Targeting BCL-2 family proteins to overcome drug resistance in non-small cell lung cancer. Int J Cancer. 2007;121:2387–2394. doi: 10.1002/ijc.22977. [DOI] [PubMed] [Google Scholar]
  28. Fan W, Tang Z, Yin L, Morrison B, Hafez-Khayyata S, Fu P, et al. MET-independent lung cancer cells evading EGFR kinase inhibitors are therapeutically susceptible to BH3 mimetic agents. Cancer Res. 2011;71:4494–4505. doi: 10.1158/0008-5472.CAN-10-2668. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Juin P, Geneste O, Gautier F, Depil S, Campone M. Decoding and unlocking the BCL-2 dependency of cancer cells. Nat Rev Cancer. 2013;13:455–465. doi: 10.1038/nrc3538. [DOI] [PubMed] [Google Scholar]
  30. Zhang H, Nimmer P, Tahir S, Chen J, Fryer R, Hahn K, et al. Bcl-2 family proteins are essential for platelet survival. Cell Death Differ. 2007;14:943–951. doi: 10.1038/sj.cdd.4402081. [DOI] [PubMed] [Google Scholar]
  31. Song JH, Kandasamy K, Zemskova M, Lin Y-W, Kraft AS. The BH3 mimetic ABT-737 induces cancer cell senescence. Cancer Res. 2011;71:506–515. doi: 10.1158/0008-5472.CAN-10-1977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Howard AN, Bridges KA, Meyn RE, Chandra J. ABT-737, a BH3 mimetic, induces glutathione depletion and oxidative stress. Cancer Chemother Pharmacol. 2009;65:41–54. doi: 10.1007/s00280-009-1001-1. [DOI] [PubMed] [Google Scholar]
  33. Diehn M, Cho RW, Lobo NA, Kalisky T, Dorie MJ, Kulp AN, et al. Association of reactive oxygen species levels and radioresistance in cancer stem cells. Nature. 2009;458:780–783. doi: 10.1038/nature07733. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Haas TL, Emmerich CH, Gerlach B, Schmukle AC, Cordier SM, Rieser E, et al. Recruitment of the linear ubiquitin chain assembly complex stabilizes the TNF-R1 signaling complex and is required for TNF-mediated gene induction. Mol Cell. 2009;36:831–844. doi: 10.1016/j.molcel.2009.10.013. [DOI] [PubMed] [Google Scholar]
  35. Enyedy IJ, Ling Y, Nacro K, Tomita Y, Wu X, Cao Y, et al. Discovery of small-molecule inhibitors of Bcl-2 through structure-based computer screening. J Med Chem. 2001;44:4313–4324. doi: 10.1021/jm010016f. [DOI] [PubMed] [Google Scholar]
  36. Ewald JA, Desotelle JA, Wilding G, Jarrard DF. Therapy-induced senescence in cancer. J Natl Cancer Inst. 2010;102:1536–1546. doi: 10.1093/jnci/djq364. [DOI] [PMC free article] [PubMed] [Google Scholar]

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