Search tips
Search criteria 


Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Oncogene. Author manuscript; available in PMC 2012 April 5.
Published in final edited form as:
PMCID: PMC3320568

Genomic and functional analysis identifies CRKL as an oncogene amplified in lung cancer


DNA amplifications, leading to the overexpression of oncogenes, are a cardinal feature of lung cancer and directly contribute to its pathogenesis. To uncover novel such alterations, we performed an array-based comparative genomic hybridization survey of 128 non-small cell lung cancer cell lines and tumors. Prominent among our findings, we identified recurrent high-level amplification at cytoband 22q11.21 in 3% of lung cancer specimens, with another 11% of specimens exhibiting low-level gain spanning that locus. The 22q11.21 amplicon core contained eight named genes, only four of which were overexpressed (by transcript profiling) when amplified. Among these, CRKL encodes an adaptor protein functioning in signal transduction, best known as a substrate of the BCR-ABL kinase in chronic myelogenous leukemia. RNA interference-mediated knockdown of CRKL in lung cancer cell lines with (but not without) amplification led to significantly decreased cell proliferation, cell-cycle progression, cell survival, and cell motility and invasion. In addition, overexpression of CRKL in immortalized human bronchial epithelial cells led to EGF-independent cell growth. Our findings indicate that amplification and resultant overexpression of CRKL contributes to diverse oncogenic phenotypes in lung cancer, with implications for targeted therapy, and highlighting a role of adapter proteins as primary genetic drivers of tumorigenesis.

Keywords: CRKL, lung cancer, DNA amplification, genomic profiling, adapter protein


Lung cancer is the leading cause of cancer death in the United States, accounting for almost 30% of all cancer-related mortality (Jemal et al., 2008). Nearly 80% of lung cancers diagnosed are non-small cell lung cancers (NSCLC), which are classified into three main histological subtypes: adenocarcinoma, squamous-cell carcinoma, and large-cell carcinoma. Despite the advancement of surgical, cytotoxic, and radiological treatment options over the years, lung cancer therapy remains largely ineffective from a clinical standpoint, as evidenced by a low 5-year survival rate (<15%), and underscores the aggressive nature of the disease.

Much effort has been directed towards elucidating the pathogenetic alterations underlying the initiation and progression of NSCLC, with the hope of developing novel therapeutics to selectively target those alterations in vivo. Indeed, recent application of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors has been moderately successful in the treatment of NSCLCs harboring activating point mutations of EGFR (Lynch et al., 2004; Paez et al., 2004). It is likely that other genetic alterations in NSCLC await discovery, and once characterized might provide useful targets for therapy.

Genomic DNA amplifications are a frequent class of aberrations in NSCLC, where increased gene dosage leads to overexpression of key cancer genes. Genomic profiling studies of NSCLC, using cDNA (Kwei et al., 2008; Tonon et al., 2005), BAC (Garnis et al., 2006), oligonucleotide (Kendall et al., 2007; Tonon et al., 2005) and SNP (Weir et al., 2007; Zhao et al., 2005) arrays have revealed focal amplicons harboring known oncogenes such as KRAS (12p12.1), EGFR (7p12.2), ERBB2 (17q12), MET (7q31.2), MYC (8q24.1), CDK4 (12q14.1), and CCND1 (11q13.2), and have led to the recent discovery of TITF1 (14q13) as a lineage-dependent oncogenic transcription factor amplified in lung cancer (Kendall et al., 2007; Kwei et al., 2008; Weir et al., 2007). For other recurrent amplicons, the driver oncogene(s) have not yet been identified, and mapping such loci provides a starting point for cancer gene discovery and characterization. Here, from a cDNA microarray-based genomic profiling analysis of 128 lung cancer specimens, we identify amplification of CRKL (22q11) as a recurrent genetic event driving cell proliferation, survival and invasion in lung cancer.


Recurrent 22q11 amplicon in NSCLC spans CRKL

To identify recurrent DNA amplifications pinpointing novel oncogenes in NSCLC, we analyzed cDNA array CGH data generated on 52 NSCLC cell lines and 76 NSCLC tumors, the latter comprising 36 adenocarcinomas (including 2 metastases) and 40 squamous cell carcinomas (with 1 metastasis), totaling 128 samples. One of the most frequently amplified loci not associated with a known oncogene occurred at cytoband 22q11.21 (Fig. 1a), where high-level amplification (fluorescence ratios > 3, corresponding to >5-fold amplification, (Pollack et al., 1999)) was found in 4 of 128 samples analyzed (3%), with low-level gain spanning 22q11.21 present in an additional 14 of 128 samples (11%). There was no significant difference in the frequency of 22q11.21 gain/amplification between adenocarcinoma and other histologies (both for cell lines and for tumors), nor in the NSCLC lines was there a significant association between 22q11.21 gain/amplification and mutation of either KRAS, EGFR or TP53 (data not shown). On the other hand, we observed significant (FDR<0.01) association of 22q11.21 gain with concomitant gains elsewhere in the genome, namely at 9q34.3, 11q13.2-q13.3 (CCND1), 15q24.1 and 21q22.3 (Supplementary Table 2), suggesting possible cooperative interactions.

Figure 1
Recurrent 22q11 amplicon in NSCLC spans CRKL

The smallest region of recurrent amplification (or amplicon core) (Fig. 1b), spanned approximately ~170 Kb within 22q11.21, and contained eight known RefSeq genes, which included SNAP29 (synaptosomal-associated protein 29), CRKL (v-crk avian sarcoma virus CT10 oncogene homolog-like), AIFM3 (apoptosis-inducing factor, mitochondrion-associated 3), LZTR1 (leucine-zipper-like transcriptional regulator 1), THAP7 (THAP domain-containing protein 7), FLJ39582 (hypothetical protein LOC439931), P2RXL1 (purinergic receptor P2X-like 1, orphan receptor), and SLC7A4 (solute carrier family 7 (cationic amino acid transporter, y+ system), member 4). Expression profiling, done in parallel with array CGH, revealed that only four genes (SNAP29, CRKL, LZTR1, THAP7) were overexpressed when amplified (P<0.05, Student’s t-test) (Fig. 2a), thus effectively narrowing the list of candidate “driver” oncogenes. One of these genes, CRKL, encodes a Src homology 2 and 3 (SH2/SH3) domain-containing adaptor protein that shares homology with the CRK proto-oncogene (ten Hoeve et al., 1993). Best known as a substrate of the BCR-ABL oncogenic kinase in chronic myelogenous leukemia (Sattler & Salgia, 1998), a role of CRKL in other cancer types remains largely unexplored. We therefore sought to characterize a possible role of CRKL amplification in lung cancer.

Figure 2
CRKL is overexpressed when amplified

CRKL amplification promotes cell proliferation and survival

To assess the functional significance of CRKL amplification and overexpression in NSCLC, we utilized siRNAs directed against CRKL in two cell lines, HCC515 and H1819, for which CRKL amplification had been validated by fluorescence in situ hybridization (Fig. 1c), and with increased levels of total and phosphorylated (activated) CRKL protein (Fig. 2b). Transfection of two different siRNAs targeting distinct sequences within CRKL each led to decreased levels of total and p-CRKL protein (Fig. 3a), and to significantly decreased cell proliferation (measured using the WST-1 assay) compared to a negative control siRNA targeting an irrelevant gene, GFP (green fluorescent protein) (Fig. 3b). In contrast, knockdown of CRKL in H157, a lung cancer cell line without CRKL amplification and with comparatively less expression of CRKL, led to a more subtle effect on cell proliferation, supporting the specificity of CRKL targeting.

Figure 3
CRKL amplification contributes to cell proliferation and survival

The observed decrease in cell proliferation might be attributable to decreased cell-cycle progression, increased apoptosis, or both. To distinguish these possibilities, we assayed cell-cycle progression by measuring BrdU incorporation, and apoptosis by Annexin V staining. Targeted knockdown of CRKL in the amplified lines HCC515 and H1819 resulted in decreased cell-cycle progression, as evidenced by a significant decrease in S phase fraction with G1 block (Fig. 3c) compared to control siRNA. CRKL knockdown in amplified cell lines also led to increased apoptosis, evidenced by the higher fraction of Annexin-V positive cells with siRNA targeting CRKL versus control (though reaching significance only for HCC515) (Fig. 3d).

CRKL amplification drives cell migration and invasion

Prior studies have implicated a role for CRKL in epithelial cell migration and invasion, with relevance to metastatic potential (Feller, 2001). We therefore also sought to evaluate a possible role of CRKL amplification in cell migration/invasion in lung cancer. Targeted knockdown of CRKL in amplified NSCLC cell lines HCC515 and H1819 led to a significant inhibition of both cell migration (Fig. 4a) and invasion (Fig. 4b), compared to control siRNA. Furthermore, no such effect was observed in the lung cancer cell line H157 without amplification (Fig. 4a, b), revealing a specific connection between CRKL amplification and cell migration and invasion. Co-transfection of a siRNA-resistant CRKL cDNA (containing silent mutations in the siRNA target site) largely rescued CRKL/p-CRKL levels and invasiveness of H1819 cells (Fig. 4c), further confirming siRNA targeting specificity.

Figure 4
CRKL amplification potentiates cell motility and invasion

CRKL overexpression promotes growth factor independence

To complement the RNAi knockdown studies, we also sought to determine whether CRKL overexpression might promote oncogenic phenotypes in non-tumorigenic lung epithelial cells. HBEC3 (Ramirez et al., 2004) is a human bronchial epithelial cell line immortalized by hTERT and Cdk4 (the latter bypassing p16-associated growth arrest), and provides a useful model for assessing the contribution of lung cancer genes (Sato et al., 2006). By retroviral transduction, we engineered HBEC3 cells stably overexpressing CRKL, though CRKL levels did not approach those observed in CRKL-amplified NSCLC lines (Fig. 5a). Nonetheless, overexpression of CRKL in HBEC3 cells significantly enhanced growth factor (EGF)-independent cell growth (Fig. 5b, c). However, CRKL overexpression in HBEC3 was not sufficient to promote cell invasion or anchorage-independent soft agar colony growth (data not shown).

Figure 5
CRKL overexpression promotes growth-factor independent proliferation


By genomic profiling, we have identified a focal and recurrent amplicon at cytoband 22q11.21 in NSCLC cell lines and tumor samples. Within the amplicon core, CRKL is one of only four genes that are overexpressed when amplified. Interestingly, amplification appears even better correlated with p-CRKL levels than with total CRKL protein (Fig. 2b), suggesting that amplification occurs within a genetic or cellular context appropriate for CRKL signaling. RNA interference studies in NSCLC cell lines with 22q11.21 amplification demonstrate a role and functional dependency on CRKL amplification for tumor cell proliferation, survival and motility/invasion. Overexpression studies in non-tumorigenic HBEC3 cells also reveal a function of CRKL in growth-factor independent proliferation, a classic oncogenic phenotype and similar to that previously reported for K-RASV12 expression and p53 knockdown (Sato et al., 2006). However, in contrast to p53 (knockdown) and K-RASV12 (Sato et al., 2006), CRKL alone (at least at the expression levels achieved) appears insufficient to enhance anchorage-independent growth of HBEC3 cells. Further studies may reveal possible cooperative effects with other lung cancer genes.

Other recently published genomic profiling studies using various microarray platforms have also reported amplifications spanning 22q11.21 in NSCLC. Using sub-megabase resolution tiling (SMRT) BAC arrays, Garnis et al. identified high-level amplification at 22q11.21 in 2/28 NSCLC cell lines analyzed (Garnis et al., 2006), both of which were verified in our study. Using 115K SNP arrays, Zhao et al. described 22q11.21 amplification in a panel of lung cancer cell lines (including HCC515, HCC1359 and H1819) and primary lung tumors (Zhao et al., 2005). They were able to localize the amplicon to a 1Mb region in 22q11.21, and suggested CRKL and PIK4CA (catalytic subunit of phosphatidylinositol 4-kinase α) (centromeric to CRKL, and in our dataset mapping outside the amplicon core), as possible driver genes. Interestingly, they went on to exclude CRKL as the likely driver because its protein levels were not increased in cell lines with amplification (their data not shown), a finding clearly discordant with ours. Most recently, Weir et al. used 250K SNP arrays to survey 371 lung adenocarcinomas, reporting high-level amplification at 22q11.21 in 2.4% of tumors, a frequency consistent with our findings (Weir et al., 2007). However, from the specimens surveyed they were only able to narrow down the amplicon to a ~1 Mb interval containing about 15 genes. Our own studies define a ~140 Kb amplicon core, including four genes that are overexpressed when amplified. Though our functional studies implicate CRKL as the driver, we cannot exclude the possibility that one or more of the other three genes (SNAP29, LZTR1, THAP7) contributes, though we note that their known functions do not relate in obvious ways to carcinogenesis. Of interest, very recently, Luo et al. identified CRKL through a short hairpin RNA (shRNA) screen as essential for cell proliferation in a subset of NSCLC cell lines studied (Luo et al., 2008).

Our findings define a role of CRKL amplification in NSCLC pathogenesis. CRKL (Crk-Like) (ten Hoeve et al., 1993) is a member of the human Crk adaptor protein family, which also includes two alternatively spliced isoforms (CRKI/II) of CRK, the cellular homologue of the avian retroviral v-crk oncogene (Feller, 2001). CRKL contains SH2 and SH3 domains that mediate protein-protein interactions connecting tyrosine-phosphorylated upstream signaling components (e.g. p130CAS, paxillin, CBL, GAB1) to downstream effectors (e.g. C3G, DOCK180), regulating diverse cellular processes like cell adhesion, migration and immune cell responses (Feller, 2001). Early studies identified CRKL as a key substrate and effector of the BCR-ABL oncogenic tyrosine kinase in chronic myelogenous leukemia (Hemmeryckx et al., 2001; Senechal et al., 1996; ten Hoeve et al., 1994). CRKL overexpression was also shown to activate Ras and JUN kinase (JNK) signaling pathways, and to transform Rat-1 (Senechal et al., 1996), though not NIH-3T3 (de Jong et al., 1997), rodent fibroblasts.

In epithelial cells, CRKL has been shown to potentiate hepatocyte growth factor (HGF; scatter factor)-induced cell motility through protein complexes connecting the MET receptor tyrosine kinase to downstream activation of effector proteins like Rap1 and Rac (Feller, 2001; Furge et al., 2000). The connection to MET is particularly intriguing given that MET is activated by mutation or amplification in some lung cancers (Ma et al., 2003; Zhao et al., 2005). In our NSCLC cell line panel, amplification of MET and CRKL was mutually exclusive (data not shown), consistent with their acting in the same pathway (with CRKL downstream of MET). However, in preliminary studies, while knockdown of CRKL in a NSCLC cell line with MET amplification (H1648) reduced cell proliferation and survival, knockdown of MET in that same cell line reduced proliferation/survival (consistent with a recent report (Lutterbach et al., 2007)) but not phospho-CRKL levels (unpublished findings). Further studies are required to clarify the connection between MET and CRKL in NSCLCs with MET amplification.

While we report here the amplification of CRKL in lung cancer, CRKL may play a pathogenic role in other epithelial cancers as well. Recently, Singer et al. described overexpression of phospho-CRKL, measured by immunohistochemistry, in breast, ovarian and colon cancer, as well as lung cancer, in comparison to the corresponding normal tissues (Singer et al., 2006). Our own array CGH studies have identified amplifications spanning 22q11.21 in breast and pancreatic cancers (Bashyam et al., 2005; Bergamaschi et al., 2006). Further studies are needed to establish a functional role of CRKL amplification/overexpression in these cancers. We also note that the related adapter CRK (at 17p13.3), while occasional found within broad low-level gains in lung cancer, is not focally amplified as we have found CRKL.

A finding of particular interest from our study is that the amplification of an adapter protein, functioning solely to assemble other proteins, drives strong and pleiotropic oncogenic phenotypes. Prototypic oncogenic amplifications include tyrosine kinases (ERBB2, EGFR, MET), ras proteins (KRAS), cell-cycle modulators (CCND1, CDK4), and transcription factors (MYC). While overexpression of SH2/SH3 adapter proteins such as GRB2 (Daly et al., 1994), GRB7 (Stein et al., 1994) and GAB2 (Daly et al., 2002) have been implicated in oncogenesis, and v-Crk itself was discovered as an avian oncogene, our findings now place amplification of an adapter protein gene (CRKL) as a primary genetic event driving human cancer.

Our findings also underscore the potential of novel therapeutics targeting adapter protein interactions, and targeting CRKL in lung cancer in particular. Indeed, a small molecule inhibitor disrupting interactions of the GRB2 SH2 domain has been described (Gay et al., 1999), and more recently a peptide inhibitor selectively targeting the CRKL SH3 domain, disrupting its interaction with BCR-ABL (Kardinal et al., 2000). In summary, our combined genomic and functional analysis defines a novel role of CRKL amplification in lung carcinogenesis, potentiating cell proliferation, growth-factor independence, survival and migration/invasion, highlighting the oncogenic role of adapter proteins and suggesting a new point for therapeutic intervention.


Lung cancer cell lines and tumors

“NCI-H” series NSCLC cell lines, established at the National Cancer Institute, and “HCC” series cell lines, established at the Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center (Dallas, TX), together totaling 52 cell lines, were obtained from the latter’s tissue culture repository (most lines are currently available through the American Type Culture Collection). For functional studies, cells were cultured in RPMI-1640 (Invitrogen, Carlsbad, CA) with 10% fetal bovine serum (Hyclone, Fisher Scientific, Pittsburgh, PA). HBEC3 cells (Ramirez et al., 2004), obtained from the same repository, were grown in K-SFM medium (Invitrogen) containing 50 μg/mL bovine pituitary extract (Invitrogen) with 5 ng/mL EGF (Invitrogen). Seventy-six freshly-frozen lung tumors were banked at the University Hospital Charité, Berlin, Germany, with Institutional Review Board approval. Specimens were verified by H&E staining to contain at least 70% tumor cells.

Genomic and gene-expression profiling

cDNA microarray-based genomic profiling by comparative genomic hybridization (CGH), and mRNA transcript profiling, of 128 lung cancer cell lines and tumors was described in a preliminary report of our study, focused on the identification of TITF1 amplification (Kwei et al., 2008). cDNA microarrays contained 39,632 human cDNAs, representing 22,279 mapped human genes plus 4,230 additional mapped expressed sequence tags (ESTs). The complete microarray datasets are available at Stanford Microarray Database ( and at the Gene Expression Omnibus (accession GSE9995).

Microarray data analysis

Background-subtracted fluorescence ratios were normalized by mean-centering genes for each array. For array CGH analysis, we selected only those genes whose Cy3 reference-channel fluorescence signal intensity was at least 40% above background in at least 50% of samples. Map positions for arrayed cDNA clones were assigned using the NCBI genome assembly (Build 36), accessed through the UCSC genome database (Kent et al., 2002). We utilized the method cghFLasso (R package) to identify DNA gains and losses (Tibshirani & Wang, 2008). High-level DNA amplifications were defined as contiguous regions called by cghFLasso where at least 50% of genes display fluorescence ratios ≥ 3. To detect associations between DNA copy number alterations at distinct loci, a Pearson’s correlation was computed between the mean copy number of a given cytoband and that of all other cytobands. Statistically significant correlations were determined by randomly permuting cytoband labels and recalculating correlations 100 times; a false discovery rate (FDR) of 1% was used to establish a significance threshold. For expression profiling, fluorescence ratios were normalized for each array, and then well-measured genes (fluorescence intensities for the Cy5 or Cy3 channel at least 50% above background) were subsequently mean-centered (i.e. reported for each gene relative to the mean ratio across all samples).

Fluorescence in situ hybridization (FISH)

Probe labeling and FISH were performed using Vysis (Downers Grove, Illinois; now Abott Molecular) reagents according to the manufacturer’s protocols. A locus-specific BAC probe targeting CRKL at 22q11.21 (RP11-1058B20) (BACPAC Resources Centre, Oakland, CA) was labeled with SpectrumGreen-dUTP, and co-hybridized with SpectrumOrange-dUTP labeled chromosome 22 telomeric probe (TelVysion 22q; Vysis). Chromosomal locations of labeled BAC probes were validated on metaphase slides prepared from normal donors. Slides were counterstained with DAPI, and imaged using an Olympus BX51 fluorescence microscope with Applied Imaging (San Jose, CA) Cytovision 3.0 software.

Small interfering RNA (siRNA) transfections

Two different siRNAs targeting CRKL, along with a negative control siRNA targeting an irrelevant gene, GFP, were obtained from Qiagen. Complete siRNA sequences are provided (Supplementary Table 1). Cell lines were maintained at 37°C in complete media of RPMI-1640 with 10% FBS prior to transfection. For transfection, 80,000-175,000 cells were seeded per 6-well plate well, and transfected using Lipofectamine 2000 reagent (Invitrogen) according to the manufacturer’s protocol. Cells were transfected with a final concentration of 50nM siRNA for 6 hrs, subsequently replaced with complete growth media.

Plasmid constructs

A full-length human CRKL cDNA expression vector, pCMV6/XL4-CRKL, and the parent vector pCMV6/XL4, were purchased from OriGene (Rockville, MD). A CRKL siRNA#1-resistant CRKL cDNA was engineered using the QuickChange XL II Site-Directed Mutagenesis Kit from Stratagene (La Jolla, CA), with the following mutational primers: 5’-GGTTGGTGACATCGTGAAGGTGACCCGGATGAACATTAATGGCCAGTGGGA AG -3’ (degenerate, mutated bases denoted by bold text) and 5’-CTTCCCACTGGCCATTAATGTTCATCCGGGTCACCTTCACGATGTCACCAACC -3’. To generate HBEC3 cells stably overexpressing CRKL, a retroviral expression vector was created by PCR-amplifying full-length CRKL cDNA and subcloning the product into the HpaI and XhoI restriction sites of the vector pMSCV-Hyg (Clontech, Mountain View, CA).

Viral transduction and stable selection

293T cells were transfected with either pMSCV-Hyg or pMSCV-Hyg-CRKL together with pVpack-VSVG and pVpack-GP vectors (Stratagene) to generate replication-defective retrovirus. Viral supernatants were collected 48 hrs post-transfection, and used to infect HBEC3 cells, which were subsequently treated with 10 μg/mL hygromycin B (Invitrogen) for 14 days for stable selection.

Western blot analysis

Cells were lysed in 1X RIPA Lysis buffer (Upstate/Chemicon, San Francisco, CA) supplemented with 1X Complete Protease Inhibitor (Roche, Indianapolis, IN), 0.1mM sodium orthovanadate, 1mM sodium fluoride and 1mM PMSF, and protein quantified using the BCA assay (Pierce, Rockford, IL). For Western blot, 20-30μg of protein lysate was electrophoresed on a 4-15% Criterion Tris-HCl polyacrylamide gradient gel (Biorad, Hercules, CA) and transferred overnight to a PVDF membrane (Biorad). After blocking in TBS-T buffer (20mM Tris-HCl pH 7.4, 0.15M NaCl, 0.1% Tween 20) with 5% dry milk for 45min, blots were incubated with primary antibody overnight (for phospho-specific) at 4°C or 90min (for native) at room temperature. After sequential washing steps, blots were incubated with HRP-conjugated secondary antibody for 45min at room temperature in TBS-T buffer. The following antibodies were used: phospho-CRKL Y207 (1:500; #3181, Cell Signaling, Danvers, MA); anti-CRKL rabbit polyclonal antibody (1:1000; sc-319, Santa Cruz Biotechnology, Santa Cruz, CA); GAPDH (1:5000; for loading control; Santa Cruz Biotechnology); HRP-conjugated anti-rabbit IgG (1:20,000, Pierce).

Proliferation assay

Cell proliferation was quantified by WST-1 assay (Roche), a colorimetric assay based on the metabolic cleavage of the tetrazolium salt WST-1 in viable cells, according to the manufacturer’s protocol. 100μl of WST-1 reagent was added to 1ml of culture volume in 6-well plates and incubated at 37°C for 30min. Absorbance was then measured at 450nm with reference to 650nm using a Spectra Max 190 plate reader (Molecular Devices, Sunnyvale, CA). Transfections were performed in triplicate and average (± 1 SD) OD reported.

Cell-cycle analysis

Cell-cycle distribution analysis was performed by flow cytometry using the BrdU-FITC Flow kit (BD Biosciences, San Jose, CA) per the manufacturer’s instructions. Cells were incubated with 10μM BrdU at 37°C for 5hrs, then fixed and permeabilized with Cytofix/Cytoperm buffer (BD Biosciences). Cellular DNA was treated with DNase at 37° C for 1hr to expose incorporated BrdU, then cells were stained with anti-BrdU FITC antibody to quantify incorporated BrdU and 7-aminoactinomycin D (7-AAD) to quantify total DNA content. 15,000 events were scored by FACSCalibur (BD Biosciences) flow cytometer and analyzed using CellQuest software (BD Biosciences). Transfections were performed in triplicate and average (± 1 SD) cell-cycle fractions reported.

Apoptosis assay

Apoptosis levels were assayed by annexin V staining, quantified by flow cytometry using the Vybrant Apoptosis Assay kit #2 (Invitrogen) per manufacturer’s recommendations. Briefly, floating and trypsinized adherent cells were pooled and resuspended in 200μl 1X annexin binding buffer. 1μl Alexa Fluor 488 annexin V and 1μl of 100μg/ml propidium iodide (PI) solution were added and cells incubated for 15min at room temperature. Cells were then resuspended in equal volume of 1X annexin binding buffer and analyzed immediately by flow cytometry. 15,000 events were scored by FACSCalibur and analyzed using CellQuest software. Transfections were performed in triplicate, and average (± 1 SD) percent apoptosis reported.

Invasion and migration assay

Invasion and migration assays were carried out using BD Biocoat (BD Biosciences) modified Boyden chambers and control inserts with polyethylene membrane, respectively. For invasion assays, precoated filters (8μm pore size, Matrigel 100μg/cm2) were rehydrated with 500μl of complete growth media (RPMI-1640, 10% FBS), then 1-5×104 cells resuspended in RPMI-1640 media with 2% FBS were seeded into the upper chamber. Following incubation for 16-72hrs at 37°C, cells were fixed in 10% buffered formalin and then stained with crystal violet. Migration assays were performed similarly to invasion assays, with the exception of using control inserts (w/o Matrigel coating) and using fewer cells (1-2.5×104 cells) and shorter time points (16-48hrs). Non-invaded (or migrated) cells in the upper membrane were removed by swabbing, and the amount of invasion (or migration) was quantified by counting stained cells on the underside of the membrane. Assays were performed in triplicate and the average (± 1 SD) cell count reported.

Supplementary Material


We wish to thank the SFGF for fabrication of microarrays, the SMD for database support, and Eon Rios for assistance with flow cytometry analysis. We also thank the members of the Pollack lab for helpful discussion. This work was supported in part by grants from the NIH: R01 CA97139 (J.R.P.), SPORE P50CA70907 (J.D.M.), EDRN U01CA084971 (A.F.G.); DOD VITAL (J.D.M.), Longenbaugh Foundations (J.D.M.), TRDRP (17FT-0062; K.A.K), and the Deutsche Krebshilfe: 108003 (I.P.). K.S. is supported by the Medical Scientist Training Program and is a Paul & Daisy Soros Fellow.


  • Bashyam MD, Bair R, Kim YH, Wang P, Hernandez-Boussard T, Karikari CA, et al. Array-based comparative genomic hybridization identifies localized DNA amplifications and homozygous deletions in pancreatic cancer. Neoplasia. 2005;7:556–562. [PMC free article] [PubMed]
  • Bergamaschi A, Kim YH, Wang P, Sorlie T, Hernandez-Boussard T, Lonning PE, et al. Distinct patterns of DNA copy number alteration are associated with different clinicopathological features and gene-expression subtypes of breast cancer. Genes Chromosomes Cancer. 2006;45:1033–1040. [PubMed]
  • Daly RJ, Binder MD, Sutherland RL. Overexpression of the Grb2 gene in human breast cancer cell lines. Oncogene. 1994;9:2723–2727. [PubMed]
  • Daly RJ, Gu H, Parmar J, Malaney S, Lyons RJ, Kairouz R, et al. The docking protein Gab2 is overexpressed and estrogen regulated in human breast cancer. Oncogene. 2002;21:5175–5181. [PubMed]
  • de Jong R, ten Hoeve J, Heisterkamp N, Groffen J. Tyrosine 207 in CRKL is the BCR/ABL phosphorylation site. Oncogene. 1997;14:507–513. [PubMed]
  • Feller SM. Crk family adaptors-signalling complex formation and biological roles. Oncogene. 2001;20:6348–6371. [PubMed]
  • Furge KA, Zhang YW, Vande Woude GF. Met receptor tyrosine kinase: enhanced signaling through adapter proteins. Oncogene. 2000;19:5582–5589. [PubMed]
  • Garnis C, Lockwood WW, Vucic E, Ge Y, Girard L, Minna JD, et al. High resolution analysis of non-small cell lung cancer cell lines by whole genome tiling path array CGH. Int J Cancer. 2006;118:1556–1564. [PubMed]
  • Gay B, Suarez S, Caravatti G, Furet P, Meyer T, Schoepfer J. Selective GRB2 SH2 inhibitors as anti-Ras therapy. Int J Cancer. 1999;83:235–241. [PubMed]
  • Hemmeryckx B, van Wijk A, Reichert A, Kaartinen V, de Jong R, Pattengale PK, et al. Crkl enhances leukemogenesis in BCR/ABL P190 transgenic mice. Cancer Res. 2001;61:1398–1405. [PubMed]
  • Jemal A, Siegel R, Ward E, Hao Y, Xu J, Murray T, et al. Cancer statistics, 2008. CA Cancer J Clin. 2008;58:71–96. [PubMed]
  • Kardinal C, Konkol B, Schulz A, Posern G, Lin H, Adermann K, et al. Cell-penetrating SH3 domain blocker peptides inhibit proliferation of primary blast cells from CML patients. Faseb J. 2000;14:1529–1538. [PubMed]
  • Kendall J, Liu Q, Bakleh A, Krasnitz A, Nguyen KC, Lakshmi B, et al. Oncogenic cooperation and coamplification of developmental transcription factor genes in lung cancer. Proc Natl Acad Sci U S A. 2007;104:16663–16668. [PubMed]
  • Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM, et al. The human genome browser at UCSC. Genome Res. 2002;12:996–1006. [PubMed]
  • Kwei KA, Kim YH, Girard L, Kao J, Pacyna-Gengelbach M, Salari K, et al. Genomic profiling identifies TITF1 as a lineage-specific oncogene amplified in lung cancer. Oncogene. 2008;27:3635–3640. [PMC free article] [PubMed]
  • Luo B, Cheung HW, Subramanian A, Sharifnia T, Okamoto M, Yang X, et al. Highly parallel identification of essential genes in cancer cells. Proc Natl Acad Sci U S A. 2008;105:20380–20385. [PubMed]
  • Lutterbach B, Zeng Q, Davis LJ, Hatch H, Hang G, Kohl NE, et al. Lung cancer cell lines harboring MET gene amplification are dependent on Met for growth and survival. Cancer Res. 2007;67:2081–2088. [PubMed]
  • Lynch TJ, Bell DW, Sordella R, Gurubhagavatula S, Okimoto RA, Brannigan BW, et al. Activating mutations in the epidermal growth factor receptor underlying responsiveness of non-small-cell lung cancer to gefitinib. N Engl J Med. 2004;350:2129–2139. [PubMed]
  • Ma PC, Kijima T, Maulik G, Fox EA, Sattler M, Griffin JD, et al. c-MET mutational analysis in small cell lung cancer: novel juxtamembrane domain mutations regulating cytoskeletal functions. Cancer Res. 2003;63:6272–6281. [PubMed]
  • Paez JG, Janne PA, Lee JC, Tracy S, Greulich H, Gabriel S, et al. EGFR mutations in lung cancer: correlation with clinical response to gefitinib therapy. Science. 2004;304:1497–1500. [PubMed]
  • Pollack JR, Perou CM, Alizadeh AA, Eisen MB, Pergamenschikov A, Williams CF, et al. Genome-wide analysis of DNA copy-number changes using cDNA microarrays. Nat Genet. 1999;23:41–46. [PubMed]
  • Ramirez RD, Sheridan S, Girard L, Sato M, Kim Y, Pollack J, et al. Immortalization of human bronchial epithelial cells in the absence of viral oncoproteins. Cancer Res. 2004;64:9027–9034. [PubMed]
  • Sato M, Vaughan MB, Girard L, Peyton M, Lee W, Shames DS, et al. Multiple oncogenic changes (K-RAS(V12), p53 knockdown, mutant EGFRs, p16 bypass, telomerase) are not sufficient to confer a full malignant phenotype on human bronchial epithelial cells. Cancer Res. 2006;66:2116–2128. [PubMed]
  • Sattler M, Salgia R. Role of the adapter protein CRKL in signal transduction of normal hematopoietic and BCR/ABL-transformed cells. Leukemia. 1998;12:637–644. [PubMed]
  • Senechal K, Halpern J, Sawyers CL. The CRKL adaptor protein transforms fibroblasts and functions in transformation by the BCR-ABL oncogene. J Biol Chem. 1996;271:23255–23261. [PubMed]
  • Singer CF, Hudelist G, Lamm W, Mueller R, Handl C, Kubista E, et al. Active (p)CrkL is overexpressed in human malignancies: potential role as a surrogate parameter for therapeutic tyrosine kinase inhibition. Oncol Rep. 2006;15:353–359. [PubMed]
  • Stein D, Wu J, Fuqua SA, Roonprapunt C, Yajnik V, D’Eustachio P, et al. The SH2 domain protein GRB-7 is co-amplified, overexpressed and in a tight complex with HER2 in breast cancer. Embo J. 1994;13:1331–1340. [PubMed]
  • ten Hoeve J, Kaartinen V, Fioretos T, Haataja L, Voncken JW, Heisterkamp N, et al. Cellular interactions of CRKL, and SH2-SH3 adaptor protein. Cancer Res. 1994;54:2563–2567. [PubMed]
  • ten Hoeve J, Morris C, Heisterkamp N, Groffen J. Isolation and chromosomal localization of CRKL, a human crk-like gene. Oncogene. 1993;8:2469–2474. [PubMed]
  • Tibshirani R, Wang P. Spatial smoothing and hot spot detection for CGH data using the fused lasso. Biostatistics. 2008;9:18–29. [PubMed]
  • Tonon G, Wong KK, Maulik G, Brennan C, Feng B, Zhang Y, et al. High-resolution genomic profiles of human lung cancer. Proc Natl Acad Sci U S A. 2005;102:9625–9630. [PubMed]
  • Weir BA, Woo MS, Getz G, Perner S, Ding L, Beroukhim R, et al. Characterizing the cancer genome in lung adenocarcinoma. Nature. 2007;450:893–898. [PMC free article] [PubMed]
  • Zhao X, Weir BA, LaFramboise T, Lin M, Beroukhim R, Garraway L, et al. Homozygous deletions and chromosome amplifications in human lung carcinomas revealed by single nucleotide polymorphism array analysis. Cancer Res. 2005;65:5561–5570. [PubMed]