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Cell Death Dis. May 2010; 1(5): e40.
Published online May 6, 2010. doi:  10.1038/cddis.2010.18
PMCID: PMC3032312
A survey of the anti-apoptotic Bcl-2 subfamily expression in cancer types provides a platform to predict the efficacy of Bcl-2 antagonists in cancer therapy
W J Placzek,1 J Wei,1 S Kitada,1 D Zhai,1 J C Reed,1 and M Pellecchia1*
1Sanford/Burnham Medical Research Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037, USA
*Sanford/Burnham Medical Research Institute, North Torrey Pines Road, La Jolla, CA 10901, USA. Tel: +858 646 3159; Fax: +858 795 5225; E-mail: mpellecchia/at/burnham.org
Received December 10, 2009; Revised February 24, 2010; Accepted March 26, 2010.
We investigated the mRNA expression levels of all six antiapoptotic Bcl-2 subfamily members in 68 human cancer cell lines using qPCR techniques and measured the ability of known Bcl-2 inhibitors to induce cell death in 36 of the studied tumor cell lines. Our study reveals that Mcl-1 represents the anti-apoptotic Bcl-2 subfamily member with the highest mRNA levels in the lung, prostate, breast, ovarian, renal, and glioma cancer cell lines. In leukemia/lymphoma and melanoma cancer cell lines, Bcl-2 and Bfl-1 had the highest levels of mRNA, respectively. The observed correlation between the cell killing properties of known Bcl-2 inhibitors and the relative mRNA expression levels of anti-apoptotic Bcl-2 proteins provide critical insights into apoptosis-based anticancer strategies that target Bcl-2 proteins. Our data may explain current challenges of selective Bcl-2 inhibitors in the clinic, given that severe expression of Bcl-2 seems to be limited to leukemia cell lines. Furthermore, our data suggest that in most cancer types a strategy targeted to Mcl-1 inhibition, or combination of Bfl-1 and Mcl-1 inhibition for melanoma, may prove to be more successful than therapies targeting only Bcl-2.
Keywords: Bcl-2, Mcl-1, expression, Bfl-1, cancer therapeutics
Programmed cell death (apoptosis) represents a physiological process for removing damaged or infected cells and maintaining tissue homeostasis.1 During tumorigenesis, cancer cells develop the ability to avoid apoptosis through the upregulation of anti-apoptotic proteins and/or downregulation of proapoptotic signaling pathways. Such measures allow cancer cells to survive even when challenged with chemotherapeutic or DNA-damaging compounds that would normally trigger cytotoxic responses. The Bcl-2 (B-cell lymphoma/leukemia-2) family of both pro- and antiapoptotic proteins are central regulators of apoptosis. This family of at least 26 proteins is divided into three groups, or subfamilies, on the basis of their function and the composition of their Bcl-2 homology (BH) domains.2
In humans, six antiapoptotic members of the Bcl-2 family have been identified (Bcl-2, Bcl-xL, Bcl-B, Bcl-W, Bfl-1, and Mcl-1). These proteins contain a hydrophobic cleft that is able to bind to BH3-only proteins and to the pro-apoptotic Bcl-2 family members Bad, Bak, and Bax to inhibit apoptosis.3 In the absence of this binding, the proapoptotic Bcl-2 members are recruited to the outer mitochondrial membrane (OMM) at which they oligomerize and cause OMM permeabilization, releasing proapoptotic effectors such as SMAC or cytochrome c. The released cytochrome c binds to APAF-1 and pro-caspase 9 to from the apoptosome, which generates mature caspase 9 and begins a proteolytic cascade, ultimately resulting in cell death as shown in Figure 1.4 Meanwhile, SMAC release antagonizes a class of caspase inhibitory proteins called IAPs (inhibitor of apoptosis proteins), initiating the apoptotic cascade (Figure 1). Pharmacological inhibition of antiapoptotic Bcl-2 subfamily members and IAP proteins in cancer have emerged as major strategies for allowing intrinsic stress responses to induce apoptosis and cause tumor regression.5
Figure 1
Figure 1
Mechanism of Bcl-2 antagonists in cell stress response. The overexpression of antiapoptotic Bcl-2 proteins induce cancer cell resistance to stress-induced apoptosis. Selective inhibition of a subset of the antiapoptotic Bcl-2 subfamily, as is achieved (more ...)
Determination of the structure of Bcl-2 and subsequent identification of the BH3-binding cleft has allowed the creation of small molecule inhibitors targeting the antiapoptotic Bcl-2 subfamily.6 Thus far, nearly all therapeutic compounds targeting the Bcl-2 family have focused on the inhibition of Bcl-2 and Bcl-xL, guided by a large number of immunohistochemical (IHC) studies that have shown these proteins to be upregulated in a variety of tumor types.7, 8, 9 In breast cancer, these studies observed correlations of Bcl-2 and Mcl-1 with differing clinical end points while making no definitive connections between prognosis and Bcl-xL protein levels.7, 10 Prior studies of CNS tumor samples used IHC and found a significant upregulation of Bcl-2 and Mcl-1 during tumor progression.9 Similarly, in a study of renal cancers, 40% of patient samples had observable Bcl-2 expression levels.11 In prostate cancer, prior studies have demonstrated that Bcl-2 overexpression is associated with the progression of prostate cancer to an androgen-independent form.12 Further studies have shown that in the androgen-responsive prostate cancer line, LNCaP, overexpression of Bcl-2 permits continued growth in vitro and tumor formation in vivo despite androgen deprivation.13 A subsequent IHC investigation of 64 adenocarcinomas of the prostate found that 25, 100, and 81 percent of the tumor samples exhibited observable levels of Bcl-2, Bcl-xL, and Mcl-1, respectively.14 Studies of Bcl-2 family protein levels in colon cancer samples identified opposite correlations between patient prognosis and Bcl-2 or Mcl-1 protein levels using IHC.15, 16 Furthermore, IHC studies of ovarian cancer have recently suggested a more prominent role for Mcl-1 compared with Bcl-2 or Bcl-xL.17 As a group, these studies have provided a firm foundation for the development and use of antiapoptotic Bcl-2 subfamily inhibitors in cancer development, but due to their use of mainly patient-derived samples, they have precluded the ability to perform additional studies into how to improve compound targeting and/or to understand why there are highly variable clinical end points between the different studies, often within the same cancer type.18 None of these studies, however, have examined the relative abundance of all six antiapoptotic Bcl-2 subfamily members in a readily available set of cancer cell lines.
The progression into clinical trials of compounds with selective activity for Bcl-2 and Bcl-xL has made this issue especially urgent. For example, several pre-clinical studies have shown that tumors highly expressing Mcl-1 are typically resistant to compounds that selectively target Bcl-2 and Bcl-xL.19, 20 Comprehensive studies into the levels of each of the antiapoptotic Bcl-2 subfamily members may therefore allow for better optimization of antiapoptotic Bcl-2 subfamily inhibitors.
The expression levels of all six antiapoptotic Bcl-2 subfamily members (Bcl-2, Bcl-xL, Bcl-B, Bcl-W, Bfl-1, and Mcl-1) were studied in 68 human cancer cell lines and in cultured human dermal fibroblast (HDF) cells using quantitative real-time polymerase chain reaction (qPCR) techniques. In addition, control total RNA samples from the brain, cervix, colon, kidney, lung, melanocyte, ovary, and prostate tissues were obtained and screened as outlined in the Materials and Methods section. The average, maximum, and minimum Ct values were determined and these were then transformed into initial copy number values, which are charted in Figures 2 and and3.3. Distributions of the expression levels of the six genes in all cell lines are presented in Figure 4. Prior immunohistochemical studies of Bcl-2 and Bcl-xL protein levels in breast cancer cell lines,21 Mcl-1 protein levels in melanoma cell lines22 and Bfl-1 protein levels in leukemia and lymphoma cell lines23 correlate directly with levels observed for each of the respective cell lines studied in this survey.
Figure 2
Figure 2
Expression of the six antiapoptotic Bcl-2 subfamily members in the breast, CNS, colon, and leukemia cancer cell lines. (ad) Bar graphs representing the relative copy number of each Bcl-2 subfamily member: Bcl-2 in black, Bcl-xL in orange, Bcl-B (more ...)
Figure 3
Figure 3
Expression of the six antiapoptotic Bcl-2 subfamily members in the lung, melanoma, ovarian, prostate, and renal cancer cell lines. (ad) Bar graphs representing the relative copy number of each Bcl-2 subfamily member: Bcl-2 in black, Bcl-xL in (more ...)
Figure 4
Figure 4
Range of antiapoptotic Bcl-2 subfamily expression. (ac) Box and Whisker plot of the 10–90th percentile of the relative copy number distribution across all 68 cell lines studies (a), the 8 leukemia cell lines (b), or the 12 melanoma cell (more ...)
Bcl-2 subfamily expression in breast, CNS, colon, lung, ovarian, prostate, and renal cancer lines
The majority of solid tumor-derived cell lines displayed similar relative anti-apoptotic Bcl-2 subfamily expression patterns with Mcl-1 having the highest level of mRNA expression of all Bcl-2 subfamily members (Figures 2 and and3).3). bcl-xL and bcl-W mRNAs were also detected at intermediate levels in most cell lines with Bcl-xL expression levels approaching those of Mcl-1 in a subset of cell lines in each cancer type. Expression of Bcl-2, Bfl-1, and Bcl-B coding mRNA was observed primarily at low levels. A number of cell lines throughout these tissue types have increased mRNA expression of Bfl-1 when compared with the primary human dermal fibroblast (HDF) sample used as a comparator. These include the CNS cancer cell line LN-229 (15-fold), the non-small cell lung cancer lines A549, H1915 and NCI-H522 (12, 16 and 8-fold, respectively), the prostate cancer cell lines PC-3 and DU-145 (three and five-fold), and the renal cancer cell line RXF-393 (four-fold). Furthermore, the CNS cancer cell line LN-229, the lung cancer cell line H460 and the renal cancer cell lines ACHN, RXF-393, and TK-10 have increased expression of Bcl-2 when compared with the HDF sample. In addition, of all 69 lines screened, only Caco-2 had significant overexpression of Bcl-B compared with HDF cells. Interestingly, the control samples show at least a two-fold increase in mRNA expression of Bcl-2 in the kidney, lung, cervix, and ovary tissue and of Bcl-B in the kidney, cervix, and colon tissue (Supplementary Figure 2).
Bcl-2 subfamily expression in leukemia/lymphoma cancer lines
The antiapoptotic Bcl-2 subfamily expression has been highly studied in both leukemia/lymphoma cell lines and primary cell samples, yet nearly all studies have focused on the three proteins Bcl-2, Bcl-xL, and Mcl-1.19 Elevated levels of Bcl-2 have been correlated with shorter patient survival and this has lead to the development of a number of anti-Bcl-2 therapeutics.24 Meanwhile, increased Mcl-1 has been correlated with more advanced forms of chronic lymphocytic leukemia and resistance to both chemotherapy and Bcl-2 inhibitors.19, 20 Bfl-1 has also been reported to be overexpressed in B-cell lymphoma23 and is associated with increased resistance to apoptotic stimulation,25and treatment with the Bcl-xL/Bcl-2 antagonist ABT-737.20, 26
Our data demonstrate high levels of Bcl-2 expression in seven of eight leukemia/lymphoma lines studied (Figure 2d). Only one cell line, BP3, shows low levels of Bcl-2 expression, while displaying increased Bfl-1 expression, 20-fold higher than in HDF cells. In addition to Bcl-2, RS11846 cells also show very high (80-fold) levels of Bfl-1 expression compared with HDF cells. All eight leukemia/lymphoma lines show moderate levels of mcl-1, bcl-xL, and bcl-W mRNA. Thus, leukemia and lymphoma cell lines, more than any other type of cancer cell line studied, are characterized by a wide diversity of antiapoptotic Bcl-2 subfamily expression (Figure 4b).
Bcl-2 subfamily expression in melanoma cancer lines
Bcl-2 subfamily expression studies of melanoma and melanocytes have identified that while levels of Bcl-2, Bcl-xL, and Mcl-1 levels do not vary greatly between the normal and the cancerous state,8 Bcl-2 subfamily proteins are highly expressed in melanoma and a high Bcl-2/Bax ratio has been found to correlate with increased CD95/Fas-mediated apoptosis.27 Furthermore, Mcl-1 and Bcl-xL were found to be upregulated during melanoma progression and metastases, whereas Bcl-2 levels were downregulated. Finally, it was observed that survival of melanoma lines after proteosomal treatment relies on increased Mcl-1 rather than Bcl-2 protein expression,28 suggesting prominent roles for members of the Bcl-2 subfamily other than Bcl-2 in melanoma.
Our study of 12 melanoma cell lines found that all but one sample (WM-35) had significantly higher Bfl-1 expression than the HDF cells, as well as in all other cancer types investigated (P<0.0001; Figure 4c, Supplementary Figure 1A). Furthermore, in four of the 12 lines (SK-MEL-28, SK-MEL-5, UACC-257, and WM-115), Bfl-1 was the highest expressed antiapoptotic Bcl-2 subfamily member. In comparison to HDF cells, the 11 melanoma lines have Bfl-1 expression levels of 9–150-fold higher. Interestingly, Bcl-2 expression in all 12 lines also has the highest average expression for any cancer type other then leukemia (P=0.0001; Supplementary Figure 1B). Increased Bfl-1 expression was also observed in the total RNA from the melanocyte control sample with a 50-fold overexpression compared with the HDF comparator (Supplementary Figure 2). These data agree with the previous studies that found increased Bcl-2 in melanoma as well as point to other Bcl-2 subfamily members as contributors to apoptosis resistance. High levels of Bcl-xL, Bcl-W, and Mcl-1 were also observed across all melanoma lines studied (Figure 4c).
Small molecule Bcl-2 inhibitors
To assess the ability of the qPCR data to predict sensitivity or resistance to Bcl-2 family antagonists in cell culture, we selected a subset of the tumor cell lines to be challenged with small molecule inhibitors of antiapoptotic Bcl-2 family proteins. We tested ABT-737,26 which is known to specifically target Bcl-2, Bcl-xL, and Bcl-W,29 as well as two derivatives of the pan-active Bcl-2 subfamily inhibitor, Apogossypol, which were recently reported by our laboratories (Figure 5a).30, 31 The IC50 values for each of these three small molecules tested against the six antiapoptotic Bcl-2 subfamily members, as determined by their ability to displace a fluorochrome-conjugated BH3 Bid peptide, are presented in Table 1.29, 30 These data demonstrate that the two Apogossypol derivatives have broader cross-reactivity compared with ABT-737, as 8J is able to bind to all of the subfamily members except for Bfl-1 at a uniform IC50 value of near 1 μM, whereas 8Q exhibits uniform IC50 values for all six members at approximately 1 μM. In contrast, although ABT-737 is not active against Bfl-1, Mcl-1, and Bcl-B, it is significantly more potent against the other members as compared with the Apogossypol derivatives. Hence, these compounds provide research tools to assess whether it is preferable to have a potent and sub-class selective inhibitor versus pan-Bcl-2 antagonists with moderate affinities (Table 1).
Figure 5
Figure 5
Chemical structures of Bcl-2 antagonists. (a) Chemical structures of the three Bcl-2 inhibitors studied. (b) Cell viability of WT-MEF cells (white squares) or bax−/−bak−/− DKO MEF cells (solid squares) treated with compound (more ...)
Table 1
Table 1
Fluorescence polarization displacement assay of the three Bcl-2 antagonists to each of the six antiapoptotic Bcl-2 subfamily members
To validate that the studied compounds act primarily through the intended mechanism in restoring Bax/Bak-mediated apoptosis, we used wild-type mouse embryo fibroblasts (MEFs) versus bax−/−/bak−/− double knockout (DKO) genotypes (Figure 5b). Compounds that kill using the intended mechanism should not show cytotoxic activity on Bax/Bak DKO cells. We observed that 8J induces Bax/Bak-dependent cell death with limited off-target cytotoxicity at concentrations up to 10 μM. This agrees with similar findings for ABT-737 and 8Q reported previously.30, 32
To determine the ability of each of the compounds to induce cell death in 36 selected tumor cell lines (listed in Figure 6a), we measured cell viability using the ATP-Lite assay (Perkin-Elmer, Waltham, MA, USA), which assesses levels of cellular ATP as a surrogate for cell viability. Each cell line was cultured with a range of compound concentrations in triplicate and the resulting LD50 values were reported (Figure 6a). In six of the studied cell lines, ABT-737 showed no effect across the compound concentration range tested. ABT-737 showed potent cytotoxic activity against leukemia/lymphoma lines, consistent with the observation that they exhibited significant Bcl-2 expression. Similarly, in those lines with minimal Bcl-2 expression, ABT-737 was found to be the least active of the three compounds. A positive correlation between log LD50, [ABT-737] and bcl-2 mRNA copy number was observed with a correlation coefficient of r=−0.7233 (P-value >0.0001; Figure 6b). Interestingly, no similar correlation between log LD50, [ABT-737] and bcl-xL or bcl-W mRNA copy number was observed. Furthermore, as expected from prior literature that shows that suppression of Mcl-1 via siRNA resulted in increased ABT-737 effectiveness,33 we observed that if we normalized the bcl-2 mRNA level to a uniform mcl-1 mRNA level across the panel of tumor cell lines, then the correlation improved to r=−0.8081 (P-value >0.0001). Similar normalization of the bcl-2 mRNA level to bcl-xL mRNA levels or to the sum of all other Bcl-2 subfamily mRNA levels resulted in r values of −0.7735 or −0.8135, respectively.
Figure 6
Figure 6
Ability of cells to evade apoptosis in presence of Bcl-2 inhibitors. (a) LD50 values for each of the three compounds ABT-737 (blue bars), 8J (red bars), and 8Q (green bars) in 36 selected cell lines grouped according to their cancer type are shown. Error (more ...)
The compounds 8Q and 8J had significantly smaller variations in their LD50 ranges across the 36 screened tumor cell lines (Figure 7) presumably due to their cross-reactivity with most antiapoptotic Bcl-2 subfamily members. The poor affinity of 8J for Bfl-1 did not seem to impact its affect on melanoma cell lines, which were observed to have high bfl-1 mRNA levels in addition to high mcl-1 mRNA levels. This may be due to the difference in LD50 values between Bfl-1 and the other family members being only one order of magnitude, whereas ABT-737 shows more than three orders of magnitude selection for Bcl-2 (Table 1) over Bfl-1. Notably, the colon cancer line HCT-115 presented LD50 values of >15 μM for all three compounds tested and may therefore prove to be an interesting model for future studies of cancer cells demonstrating non-Bcl-2 subfamily-mediated resistance to apoptosis.
Figure 7
Figure 7
Range of compound LD50 values across the 36 cell lines studied. Box and Whisker plot of the 10–90th percentile of the measured LD50 values for the three compounds are represented on a log scale
In this study, we investigated the expression levels of all six antiapoptotic Bcl-2 subfamily members at the mRNA level in 68 cancer cell lines across nine basic tissue types using qPCR techniques. We then measured the ability of chemical Bcl-2 inhibitors to induce cell death in 36 of the studied lines. In seven of nine tissue types, Mcl-1 was expressed at the highest levels among the family members, comprising from 40–60% of Bcl-2 subfamily mRNA present. Bcl-2 was found to be prominently expressed in leukemia/lymphoma lines but not in solid tumor cell lines. Melanoma cell lines and the melanocyte control sample all significantly overexpressed Bfl-1 at levels 9–150-fold higher than in HDF reference cells. We then studied the ability of three previously described Bcl-2 subfamily inhibitors26, 30 to induce cell death in a collection of the 36 cell lines screened for mRNA copy number.
Although we acknowledge that mRNA levels cannot definitely predict protein levels present in a cell, prior studies of the antiapoptotic Bcl-2 subfamily members protein levels correlate well with our findings.21, 22, 23 It has also been shown that constant turnover of both protein and mRNA levels are integral parts of Bcl-2 regulation.34 Moreover, to investigate the ability of the qPCR data to predict the efficacy of Bcl-2 antagonists, we tested three chemical Bcl-2 inhibitors (ABT-737, 8Q, and 8J) against a selection of the tumor cell lines studied. In support of the predictive nature of the mRNA studies here presented, we found an inverse correlation (r=−0.7344, P<0.0001) between ABT-737-induced LD50 values and bcl-2 mRNA copy number (Figure 6b). Furthermore, this correlation was modulated by Mcl-1 (r=−0.8081) and total antiapoptotic Bcl-2 subfamily (r=−0.8135) mRNA levels, consistent with prior preclinical studies using Mcl-1 knockdown approaches.20 Interestingly, LD50 values for ABT-737 did not correlate with either bcl-xL or bcl-W mRNA expression despite biochemical analysis showing that ABT-737 has potent nanomolar affinity to these proteins. This result suggests that either ABT-737 binding to Bcl-xL or Bcl-W does not result in inhibition of their antiapoptotic functionality, or these two proteins are not critical for the survival of the tumor cell lines studied in routine cultures. However, it must be noted that therapies targeting antiapoptotic Bcl-2 family proteins may sensitize tumor cells to apoptotic stimuli, such as chemotherapy or radiation, without displaying single-agent cytotoxic activity.
A similar, though much weaker correlation was identified between observed LD50 values for compound 8J and calculated bcl-2 mRNA copy number (r=−0.4143, P=0.01). Given the wider activity across all subfamily members and the small range of observed LD50, improved information on the individual importance of each Bcl-2 subfamily member responsible for such a pan-active inhibitor would require either the discovery of a highly responsive cell line, development of improved Apogossypol derivatives with sub-micromolar affinities for individual Bcl-2 subfamily members, or intense studies of single cell lines while knocking out different subfamily members using siRNA techniques. Such multivariate analysis could prove very informative in the further optimization of pan-active Bcl-2 subfamily inhibitors. In contrast, a more broad-spectrum Apogossypol derivative, 8Q, which shows micromolar affinity against all six Bcl-2 subfamily members did not have an observable correlation between its LD50 values and the mRNA levels of any single subfamily member. This is likely due to the small range of LD50 values observed in the tested cell lines. Nevertheless, the correlations identified, especially for ABT-737, demonstrate the predictive nature of the reported qPCR studies.
Our data support and supplement to some extent results reported in prior studies focused on single cancer tissue types that looked at only a subset of the subfamily members (e.g. Bcl-2, Bcl-xL, or Mcl-1) assessing relative protein levels using IHC methods. These studies found that for all cancer types, except leukemia, Mcl-1 is upregulated and can often be associated with some metric of cancer progression or poor patient prognosis.10, 15, 17 Our data agree with these studies in as much as mcl-1 mRNA is prominently expressed in most tumor cell lines. In this regard, it is typical that only the most aggressive cancers can be established readily as cell lines that can be easily passaged long-term in culture. Thus, the striking expression of mcl-1 mRNA observed in established tumor cell lines may be a reflection of their more aggressive character. In addition, siRNA studies targeting Mcl-1 have demonstrated that reduction of mcl-1 mRNA levels causes increased sensitivity to ABT-73735 and decreased resistance to anoikis.22
We must note that qPCR techniques are not able to differentiate among the posttranslational modifications of individual members of the Bcl-2 subfamily at the protein level. In this regard, it has been reported that significant stabilization or proteolysis of Bcl-2 and Mcl-1 protein may be facilitated by phosphorylation.36 Furthermore, the turnover of antiapoptotic Bcl-2 subfamily members has been reported to be dependent on several other proteins, including the levels of proapoptotic Bcl-2 subfamily members, the E3 ubiquitin ligase, MULE/LASU1, or individual caspases, to name a few.37 Although this is the case, we feel that by presenting a wide survey of the antiapoptotic Bcl-2 subfamily expression in cancer types this study will allow more dedicated investigation into these various control systems. A prior focused study of apoptosis gene expression in the NCI-60 cells lines only characterized the expression of Bcl-2 and Bcl-XL using qPCR.38 It should also be noted that many of the prior studies were conducted with primary patient samples that are not readily available throughout the scientific community, nor in sufficient quantity to allow repeated probing for the discernment of LD50 values in the context of drug optimization programs. Thus, further development of the Bcl-2 field requires the analysis of available tumor cell lines, which serve as models to refine knowledge of biochemical signaling pathways and develop improved antiapoptotic Bcl-2 subfamily-targeted inhibitors. Owing to the large number of studies already conducted on the NCI-60 panel of cancer lines, we attempted to include as many of these cell lines as possible in our analysis.
As a result of this study, we feel that the current difficulties of Bcl-2-targeted inhibitors in the clinic39 may be understood through our observations that the severe upregulation of Bcl-2/Bcl-xL seems to be isolated to leukemia like cell lines and that in other cancer types a strategy targeted to Mcl-1 inhibition (or Mcl-1/Bfl-1 inhibition in the case of melanoma) may prove to be more successful. In addition, although targeting individual members of the antiapoptotic Bcl-2 subfamily may initially prove promising, recent studies with ABT-737 suggest that resistance to the compound is a consequence of the ability of cancer cells to adapt and express other Bcl-2 subfamily members.20 Thus, the development of pan-active Bcl-2 inhibitors may lead to more successful therapeutic outcomes to be achieved. Our data illustrates that even within a cancer tissue type significant deviations may be seen between cell lines. Taken together, these data argue clinical trials seeking to develop Bcl-2 inhibitors should minimally include assessment of the expression of all six antiapoptotic Bcl-2 subfamily members so that the activity profile of compounds can be connected with the repertoire of Bcl-2 family members present within the tumor of individual patients.
Cell lines and total RNA samples
Cell lines used in this study were assembled through the generosity of research groups at The Burnham Institute for Medical Research. The cell lines SK-MEL-2, SK-MEL-28, and HS-578T were acquired from the ATCC. Primary human dermal fibroblast (HDF) cells were purchased from Cascade Biologics (Invitrogen, Carlsbad, CA, USA). The FirstChoice Human Total RNA survey panel purchased from Applied Biosystems (Foster City, CA, USA).
Cell culture
Cell lines included in the NCI-ADS cancer cell panel were grown in RPMI 1640 medium containing 5 mM Glutamax (Invitrogen) supplemented with 10% fetal bovine serum (Invitrogen) and 1% antibiotic/antimycotic (Invitrogen). All other immortalized cell lines were grown in their recommended medium containing 5 mM Glutamax (Invitrogen) supplemented with 10% fetal bovine serum (Invitrogen) and 1% antibiotic/antimycotic (Invitrogen). All cultures were grown at 37°C in a humidified incubator with 5% CO2. Cells were maintained at 40–80% confluence for a minimum of 1 week before RNA extraction. The HDF cells were cultured as recommended and total RNA was harvested after 6 and 10 phase doublings.
Quantitative PCR
Total RNA from 3 × 106 cells from each line were collected at 70–80% confluence and prepared using the Illustra RNAspin mini total RNA extraction kit (GE Healthcare, Piscataway, NJ, USA) according to the manufacturer's recommendations for cultured cells. Each RNA sample was quantified with a NanoDrop ND-1000 Spectrophotometer and the RNA integrity of each sample was further confirmed using a BioRad Experion Bioanalyzer (BioRad, Hercules, CA, USA) to assess the ratio of 28 and 18 s RNAs. All samples exhibited 28/18 s RNA ratios of 1.8–2.2, which indicates the presence of high-quality total RNA. The complementary DNA was produced using qScript cDNA Supermix (Quanta Biosciences, Gaithersburg, MD, USA) according to manufacturer's recommendations in 20 μl reaction mixtures using 400 ng of total RNA as the template. The resultant cDNA was diluted 1 : 7 being used in qPCR.
Primers for use in qPCR were identified from a search of the Quantitative PCR Primer Database when available or designed using freely available software from IDT or Invitrogen. Identified primers were purchased from Invitrogen and tested for the amplification of a single uniform amplicon through analysis of SYBR melting curves for three of the target cell lines: H460, A549 and H1299. Standard curves used to transform Ct values to allow absolute quantification of the initial cDNA copy number for each of the genes studied were collected and showed linear amplification over six orders of magnitude, covering the Ct ranges of all included samples (r>0.994). In addition, negative controls for each primer pair were run in the absence of cDNA template to assure that all readings were the result of the intended amplification reaction. The primers are listed in supplementary Table 1. To avoid amplification of genomic DNA, each primer pair straddled at least one intron/exon border.
All qPCR reactions were performed in 17 μl reaction mixtures containing 2 μl of the diluted cDNA, 8.5 μl PerfeCta SYBR green FastMix, Low ROX (Quanta Biosciences), 1 μl each of 7.5 μM forward and reverse primers, and 4.5 μl molecular grade water. Each sample was run in duplicate on a 96-well plate with the Mx3000P qPCR system (Stratagene, La Jolla, CA, USA). Each plate probed the expression of five variable target cell lines and a constant cDNA preparation of human dermal fibroblast cells (Invitrogen) for the six members of the Bcl-2 subfamily. Each group of five target cell lines was run in triplicate against three different reporter genes: GAPDH, RPII and β2-microglobulin. Thermocycling conditions consisted of an initial polymerase inactivation step at 95°C for 10 min, followed by 40 cycles at 95°C for 30 s, 55°C for 1 min, and 72°C for 1 min. Afterwards, melting curves were generated to confirm a single uniform peak. Baselines were automatically set by the software and the threshold was manually set to a single value of 500 for all experiments. A method of analyzing each resulting amplification plot and melting curve, outlined by Nolan et al.40, was used to identify any abnormal data that were subsequently excluded from further analysis.
Calculated Ct values were exported to Microsoft Excel and Graphpad Prism for further analysis. To control for plate-to-plate variation, data on each plate were normalized to the Ct values determined for the Mcl-1 standard curve. Each cell type's data was further normalized to the average level of mRNA expression (Ct value) of RPII across all cell lines. The S.E.M. values for the six replicates for each gene in all 68 cell lines were then calculated from these normalized Ct values before transformation of the data into initial copy number values. The average±S.E.M. values were calculated and transformed into initial copy number values for the purpose of displaying the error bars in graphical representations of the data.
ATPLite analysis
The activity of three compounds against a selection of the human cancer cell lines was determined using the ATP-Lite 1-Step assay (PerkinElmer). All cells were seeded in RPMI 1640 medium with 5 mM Glutamax (Invitrogen) supplemented with 5% fetal bovine serum (Invitrogen) and 1 × antimitotic/antimycotic (Invitrogen). Cells were plated into 96-well plates (Greiner, Bio-One, Monroe, NC, USA) at varying initial densities in 100 μl volumes such that they would reach 80–90% confluence 4 days after seeding. At 24 h after seeding, the medium of adherent lines was removed and fresh RPMI-1640 medium, supplemented as above, was added. Compounds were diluted to final concentrations of 30, 10, 4, 1, 0.3, and 0.1 μM with 0.1% DMSO and added to the samples in triplicate. Each sample plate was incubated at 37°C in a 5% CO2 environment for 72 h. Cell viability was evaluated using ATP-LITE reagent (PerkinElmer) and measurements were obtained on a Victor 2030 Explorer (PerkinElmer). Data were normalized to DMSO control-treated cells and LD50 values were calculated in Graphpad Prism 5.2 (Graphpad Software).
Flourescence polarization assays (FPA) and cell viability assays
The FPA studies on 8Q and 8J against Bcl-W and Bcl-B were conducted as previously described.29
The apoptotic activity of 8J against mouse embryonic fibroblast (MEF) WT cells and MEF BAX/Bak double-knockout cells (DKO) was assessed by staining with Annexin V and PI as previously described.30
Acknowledgments
We thank Coronado Biosciences (CSRA #08-02) and the National Institutes of Health, National Cancer Institute (grants CA113318 and CA149668) for generous financial support. also thank Dr. Jeffrey Smith (Burnham Institute) for the kind gift of the MCF-7, MCF-10, and WM-35 cell lines, Dr. William Stallcup (Burnham Institute) for the kind gift of the U251 and U373 cell lines, Dr. Guy Salvesen (Burnham Institute) for the kind gift of the HL-60 cell line, Dr. Kristiina Vuori (Burnham Institute) for the kind gift of the SK-OV-3, DU-145, LNCaP, LN-229 and U87 cell lines, and Dr. Ze'ev Ronai (Burnham Institute) for the kind gift of the 501-MEL, LU1205, MEWO, WM-115 and WM-793 cell lines and the melanocyte total RNA sample.
Glossary
APAF-1apoptotic protease activating factor-1
ATPadenosine triphosphate
Bcl-2B-cell lymphoma-2
Bcl-xLB-cell lymphoma extra-large
Bcl-BBcl-2 homolog B
Bcl-WBcl-2 homolog W
Bfl-1Bcl-2 related protein A1
BHBcl-2 homology domain
cDNAcomplementary deoxyribonucleic acid
CNScentral nervous system
DMSOdimethyl sulfoxide
HDFhuman dermal fibroblast
IAPsinhibitor of apoptosis proteins
IHCimmunohistochemical
LD50median lethal dose
Mcl-1myeloid cell leukemia 1 protein
mRNAmessenger ribonucleic acid
OMMouter mitochondrial membrane
qPCRquantitative real-time polymerase chain reaction
siRNAsmall interfering ribonucleic acid
SMACsupramolecular activation cluster

Notes
The authors declare no conflict of interest.
Footnotes
Supplementary Information accompanies the paper on Cell Death and Disease website (http://www.nature.com/cddis)
Supplementary Material
Supplementary Figure 1
Supplementary Figure 2
Supplementary Figure Legends
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