Skip to main content

Overexpressed TP73 induces apoptosis in medulloblastoma



Medulloblastoma is the most common malignant brain tumor of childhood. Children who relapse usually die of their disease, which reflects resistance to radiation and/or chemotherapy. Improvements in outcome require a better understanding of the molecular basis of medulloblastoma growth and treatment response. TP73 is a member of the TP53 tumor suppressor gene family that has been found to be overexpressed in a variety of tumors and mediates apoptotic responses to genotoxic stress. In this study, we assessed expression of TP73 RNA species in patient tumor specimens and in medulloblastoma cell lines, and manipulated expression of full-length TAp73 and amino-terminal truncated ΔNp73 to assess their effects on growth.


We analyzed medulloblastoma samples from thirty-four pediatric patients and the established medulloblastoma cell lines, Daoy and D283MED, for expression of TP73 RNA including the full-length transcript and the 5'-terminal variants that encode the ΔNp73 isoform, as well as TP53 RNA using quantitative real time-RTPCR. Protein expression of TAp73 and ΔNp73 was quantitated with immunoblotting methods. Clinical outcome was analyzed based on TP73 RNA and p53 protein expression. To determine effects of overexpression or knock-down of TAp73 and ΔNp73 on cell cycle and apoptosis, we analyzed transiently transfected medulloblastoma cell lines with flow cytometric and TUNEL methods.


Patient medulloblastoma samples and cell lines expressed full-length and 5'-terminal variant TP73 RNA species in 100-fold excess compared to non-neoplastic brain controls. Western immunoblot analysis confirmed their elevated levels of TAp73 and amino-terminal truncated ΔNp73 proteins. Kaplan-Meier analysis revealed trends toward favorable overall and progression-free survival of patients whose tumors display TAp73 RNA overexpression. Overexpression of TAp73 or ΔNp73 induced apoptosis under basal growth conditions in vitro and sensitized them to cell death in response to chemotherapeutic agents.


These results indicate that primary medulloblastomas express significant levels of TP73 isoforms, and suggest that they can modulate the survival and genotoxic responsiveness of medulloblastomas cells.

Peer Review reports


Medulloblastoma is the most common malignant brain tumor of childhood [1, 2]. Treatment with surgery, radiation, and chemotherapy successfully cures many patients, but survivors can suffer significant long-term toxicities affecting their neurocognitive and growth potential [3]. Despite clinical advances, up to 30% of children with medulloblastoma experience tumor progression or recurrence, for which no curative therapy exists. The lack of more effective, less toxic therapies stems from our imperfect understanding of the molecular processes that underlie medulloblastoma growth.

Although the TP53 tumor suppressor gene (17p13.1) is mutated in approximately half of human malignancies, it is rarely mutated in medulloblastoma [47]. However, several lines of evidence suggest that the TP53 pathway is perturbed in medulloblastoma. Frank et al. have described abnormalities of the p53-p14ARF pathway in the large cell/anaplastic variant of medulloblastoma [8, 9]. Our collaborators have noted significant nuclear p53 immunopositivity consistent with its accumulation and potential mutation in approximately 50% of primary human medulloblastoma examined [A. Adesina, personal communication]. Deletion of the murine homolog, Trp53, in the Patched haploinsufficient (Ptch+/-) mouse model increases the incidence of spontaneous medulloblastoma from approximately 15% to 100% [10]. Individuals with Li-Fraumeni syndrome who carry germline TP53 mutations are at increased risk for developing medulloblastoma, but fewer than 10% of sporadic medulloblastoma display TP53 mutations [11, 12]. There is also evidence that the activity of p53 is regulated by alternate mechanisms as observed in other cancers with wild-type TP53 [4].

While mutation of TP53 itself might not be frequently involved, genes related to TP53 may play a role in medulloblastoma [8]. TP73 is a member of the TP53 gene family. Full-length TP73-encoded protein, TAp73, is similar in structure and shares functions with p53 as a candidate tumor suppressor. It is able to activate p53-responsive genes and to induce apoptosis in vitro [13]. Differential transcription and alternative splicing of TP73 gives rise to at least 35 distinct RNA species and 14 described protein isoforms. Several 5'-variant RNA species (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73) are translated into the amino-terminal truncated isoform, ΔNp73, which displays anti-apoptotic effects in tumor cells and primary neurons (Figure 1A) [14, 15]. Importantly, several recent studies have demonstrated correlation between the relative expression of TA and/or ΔNp73 isoforms with patient survival for a variety of epithelial cancers occurring in adult patients [1619].

Figure 1
figure 1

Primary medulloblastoma specimens and medulloblastoma cell lines overexpress TAp73 and ΔNp73 RNA species relative to TP53. (A) TP73 gene and relative location of isoform-specific primers for qRT-RTPCR of TP73. Exons are depicted as boxes with overlying arrows corresponding to location of primers for PCR. (B) Established medulloblastoma cell lines, Daoy and D283MED (D283), and human adult cerebellum (Cbl) express high levels of TAp73 and amino-terminal splice variants encoding ΔNp73 in comparison to human fetal brain. Primary medulloblastoma (MB) samples from patients (n = 34) display similar overexpression of TAp73 and ΔNp73 RNA species. (C) Primary medulloblastoma samples from patients (n = 34) display overexpression of TAp73 and amino-terminal truncated TP73 RNA variants, relative to human fetal brain and normalized to GAPDH expression. By comparison, TP53 RNA is relatively underexpressed. Total ΔNp73 represents the sum of expression of all amino-terminal-truncated TP73 RNA variants (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73). Columns, mean expression of at least 2 experiments; error bars, ± S.E.M. Y-axis, RNA expression relative to human fetal brain and normalized to GAPDH expression (N.B. log-scale).

Surveys have demonstrated overexpression of TP73 RNA in malignancies including colon and hepatocellular carcinoma, and neuroblastoma [2022]. Neurodevelopmental pathways of clinical significance in neuroblastoma have also been implicated in medulloblastoma. A limited scale study failed to detect loss of heterozygosity or mutation of TP73 in five medulloblastoma samples [23]. However, to date no studies have examined the relative expression of TAp73 and ΔNp73 in medulloblastoma.

Here we report TP73 overexpression in a series of primary human medulloblastoma and in established medulloblastoma cell lines, relative to normal brain tissue. Kaplan-Meier analysis revealed trends toward favorable overall and progression-free survival of patients whose tumors display TAp73 RNA overexpression. Functional data indicate that overexpression of TAp73β and ΔNp73β induces apoptosis in transfected medulloblastoma cells with wild-type TP53. These results support the hypothesis that medulloblastoma express significant levels of p73 isoforms that can modulate survival. Our results support a role for TP73 in the growth of medulloblastoma and its response to genotoxic therapies.


Primary medulloblastoma specimens and medulloblastoma cell lines

Thirty-four medulloblastoma samples were obtained from children diagnosed between 1996 and 2004 at Texas Children's Hospital (Houston, TX) upon informed consent for an institutional review board-approved protocol (Table 1). All specimens were obtained at the time of diagnosis, snap-frozen and stored in liquid nitrogen. Histologic diagnoses were confirmed by pathologic review according to WHO criteria [12].

Table 1 Patient and tumor characteristics

Gross total resection was achieved in twenty-four patients. Chemotherapy for most patients consisted of cisplatin and vincristine, with combinations of carboplatin, etoposide, cyclophosphamide or lomustine. Sixteen patients received intensified chemotherapy with autologous stem cell support [2427]. Patients greater than 36 months old received craniospinal irradiation 2400 ± 360 centiGray (cGy) with a tumor dose of 5300 ± 720 cGy. Median age at diagnosis was 78.9 months (range 12–216; mean 84 ± 4.3 months (± S.E.M.)) with median follow up of 42 months (range 4–88; mean 45 ± 3.9 months). For survival analysis, patients were stratified into two groups based on the median expression of TAp73 RNA in primary medulloblastoma tumor samples.

Established human medulloblastoma cell lines, Daoy and D283MED (D283), (American Type Culture Collection, Manassas, VA) were maintained in Dulbecco's modified Eagle's medium (Invitrogen, Carlsbad, CA) with high glucose (6 g/liter), 2 mM l-glutamine and 10% (vol/vol) heat-inactivated fetal calf serum (Invitrogen, Carlsbad, CA) at 37°C in 5% CO2. TP53 is mutated in Daoy and is wild-type in D283 cells [28, 29]. For treatment studies, cells were exposed to etoposide (VP-16, 1–10 μM), cisplatin (CDDP, 5–25 μM), or vehicle (DMSO, 0.02%) control in complete media.

Quantitative real-time RTPCR (qRT-RTPCR) analysis

Total cellular RNA was extracted with either TRIzol (Invitrogen, Carlsbad, CA) or RNeasy (Qiagen, Valencia, CA) based on tissue abundance, according to the manufacturers' recommendations. For reference controls, we used commercially available RNA from human fetal brain and human adult cerebellum (Stratagene, La Jolla, CA). RNA integrity was verified on an Agilent 2100 Bioanalyzer (Agilent, Palo Alto, CA).

RNA was analyzed by qRT-RTPCR performed with the Bio-Rad iQ4 Multicolor Real-Time iCycler (Bio-Rad Laboratories, Hercules, CA). Total cellular RNA was reverse transcribed with Moloney murine leukemia virus reverse transcriptase (Invitrogen, Carlsbad, CA) and oligo-(dT)12, using standard methods. PCR reactions containing cDNA, iQ Syber Green Supermix (Bio-Rad Laboratories) and primers for TP53, full-length or 5'-terminal variant isoforms of TP73 were performed for 40 cycles in triplicate (Figure 1A). Specific primers detect RNA species for full-length human TP73 (TAp73) and 5'-terminal variants (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73) (Figure 1A):

TAp73 sense, 5'-CCGGCGTGGGGAAGATGG-3' and


ΔNp73 (and ΔN'p73) sense, 5'-ACGGCCCAGTTCAATCTGC-3' and

antisense, 5'-CTGGGGTGTAGGGGCTGG-3';

ΔN'p73 sense, 5'-TCGACCTTCCCCAGTCAAGC-3' and


ΔEx2p73 sense, 5'-AGGGAACCAGACAGCACCTA-3' and


ΔEx2/3p73 sense, 5'-CAGGCCCAGTTCAATCTGCTG-3' and

antisense, 5'-GAGTGGGTGGGCACGCTG-3';





Because ΔNp73 lacks unique primer sequences, its relative abundance was calculated by subtracting from the relative copy number of ΔN'p73 (using the ΔN'p73-specific upstream primer pair) from those of ΔNp73 and ΔN'p73 determined using the common primer pair.

Amplification products were verified by agarose gel electrophoresis, melting curves, and sequencing. Gene expression was normalized internally to GAPDH expression, relative to control human fetal brain RNA as a tissue reference, and accounting for differences in primer efficiencies [30]. Results from at least two separate experiments were analyzed.

Western immunoblot analysis

Cell lysates were prepared using standard methods. Briefly, protein was extracted from frozen tissue with boiling lysis buffer (0.5% SDS, 50 mM Tris-Cl, pH 8, 5 mM Na2EDTA) containing 2% β-mercaptoethanol for 5 minutes and tissue was homogenized using a PT1200CL Polytron (Kinematica, Switzerland), followed by shearing through a 22-guage needle and clarification by brief centrifugation. Yields were quantitated using the RC-DC Protein assay (Bio-Rad Laboratories, Hercules, CA). Lysates were separated by SDS-PAGE and transferred onto PVDF membranes for immunoblotting with antibodies against p73 (H-79, Santa Cruz Biotechnology, Santa Cruz, CA; and GC-15, Pharmingen, San Jose, CA), ΔNp73 (IMG-313, Imgenex, San Diego, CA), and p53 (FL-393 or DO-1, Santa Cruz Biotechnology), p21Waf1 (Ab-11(CP74), Thermo Fisher Scientific, Fremont, CA), PARP (Cell Signaling Technology, Danvers, MA), and β-actin (C-2, Santa Cruz Biotechnology).

Chemiluminescent detection of primary antibody staining was performed using HRP-conjugated secondary antibodies (Jackson ImmunoResearch, West Grove, PA) with LumiGLO substrate, according to manufacturer's recommendations (Cell Signaling Technologies, Beverly, MA). Western blots were exposed to Kodak BioMax MS film (Kodak, New Haven, CT), developed, and analyzed with Image Station 2000R (Kodak). Alternatively, staining with fluorescent secondary antibody (Alexa Fluor 680 nm-conjugated goat anti-mouse IgG, Invitrogen) was visualized using an Odyssey infrared imaging system (LI-COR Biosciences, Lincoln, Nebraska). Intensity of immunostaining was quantitated using ImageQuant 5.2 (Molecular Dynamics, Piscataway, NJ). The intensity of each protein band was normalized to β-actin immunostaining as an internal loading control, and compared to results in the D283 cell line as a tissue reference. Results from at least two separate experiments were analyzed.

Immunohistochemical analysis of primary human tumors

For immunostaining, five micron thick sections were prepared from formalin-fixed paraffin embedded medulloblastoma specimens. Tissue sections were deparaffinized in xylene, followed by graded hydration in 100% ethanol, 70% ethanol, and H2O. Antigen retrieval was performed by boiling in DAKO citrate for 25 min (Dako, Carpinteria, CA). Endogenous peroxidase was blocked with 3% H202/Methanol for 15 min, then incubated with 20% goat serum for 20 min. Sections were incubated with anti-p53 antibody (D07, Novocastra, Newcastle Upon Tyne, UK) for 1 hour at 25°C. This antibody is reactive for both wild-type and mutant p53 proteins. This was followed by incubation with HRP-conjugated goat anti-mouse secondary antibody for 30 min. Washed sections were developed using 3-amino-9-ethyl carbazole as the chromogen. The immunostained sections were graded semi-quantitatively for degrees of staining intensity (negative, 0; positive, 1+ to 3+) by neuropathologists blinded to clinical information.

Gene expression and post-transcriptional gene silencing transfections

Daoy and D283 cell lines were transiently transfected with expression and reporter plasmids using Lipofectin according to manufacturer's recommendations (Invitrogen). Expression plasmids included: the human cytomegalovirus (CMV) immediate-early (IE) promoter-driven pP53-EGFP plasmid, encoding a p53-enhanced green fluorescent protein (GFP) fusion protein (Clontech, Mountainview, CA), and CMV IE promoter-driven hemaglutinnin-tagged human TAp73β- and Myc-tagged mouse ΔNp73β-encoding plasmids were previously described [14, 31]. In each transfection, the expression plasmids were supplemented by empty vector (pcDNA3.1, Invitrogen) to achieve an equivalent total plasmid DNA concentration. For flow cytometry, the EGFP-expressing pmaxGFP plasmid (Amaxa, Gaithersburg, MD) provided transfection controls.

Transient small interfering RNA (siRNA)-mediated silencing of TAp73 and ΔNp73 was achieved using the following siRNAs: TAp73 (targeting a sequence in TP73 exon 3), 5'-AACGGAUUCCAGCAUGGACGU-3' [32]; ΔNp73 (targeting a sequence in TP73 exon 3B to exon 4), 5'-AACCUCGCCACGGCCCAGUUC-3'. Transfections with equimolar concentrations of validated siCONTROL non-targeting siRNA Pool#1 (Dharmacon, Lafayette, CO) provided negative controls. Daoy and D283 cells were grown to 50% confluency in a 6-well plate and transfected for 6 hours in Opti-MEM serum-free media (Invitrogen) with Oligofectamine Reagent, according to manufacturer recommendations (Invitrogen). Cells were allowed to recover from transfection for 24–48 hours and were then treated for 24 hours before harvesting for RNA or protein isolation. The resulting expression of target and off-target (e.g. β-actin and GAPDH) proteins were assayed by Western immunoblot analysis, relative to cells transfected with the negative control siRNA (Dharmacon).

Apoptosis detection by flow cytometry and terminal deoxynucleotidyl transferase-mediated biotinylated-dUTP nick end-labeling (TUNEL)

We monitored DNA-indices for cell cycle analysis by multiparametric flow cytometry using standard methods. Analyses were performed using a Becton Dickinson FACScan flow cytometer (BD Biosciences, San Jose, CA) for the detection of cells stained with propidium iodide (PI) and a 488 nm laser with filter combination for fluorescein isothiocyanate (FITC) and GFP. Single cell suspensions were isolated from culture, fixed in methanol, and stained with PI (100 μg/mL in PBS). Each histogram represents 10,000–100,000 cells for measuring DNA-index and cell cycle. Histogram analysis was performed with the CellQuest program (BD Biosciences). We calculated the sub-G0/G1 peak in the hypodiploid distribution below a DNA index of one (< 2n). Because the nucleus becomes fragmented during apoptosis and numerous individual chromatin fragments may be present in a single cell, the percentage of objects with a fractional DNA-content is represented by the sub-G0/G1 peak. Apoptotic nuclei were identified as a hypodiploid DNA peak, and were distinguished from cell debris on the basis of forward light scatter and PI fluorescence.

To detect apoptotic nuclei in sub-G0/G1 peaks, a subset of unstained cells was analyzed for DNA-fragmentation using Frag-EL DNA fragmentation detection kit, according to manufacturer's recommendations (Oncogene Research Products, Cambridge, MA). Cells were also counter stained with PI for DNA quantification. FITC signal was detected on one channel in the logarithmic mode, while UV fluorescence (PI) was recorded in the linear mode on a separate channel. For each measurement, at least 10,000 cells were analyzed. We used CellQuest software for multiparametric calculations and analyses. Cut-off negative and positive cells resulted from FITC-fluorescence isotype control measurements for each sample.

Statistical considerations

Clinical outcomes were analyzed for progression-free and overall survival using the method of Kaplan and Meier (StatView, v. 4.5, Abacus Concepts, Berkeley, CA; GraphPad Software, v.4; San Diego, CA). Patients were stratified according to tumor TAp73 RNA levels, normalized to GAPDH and relative to expression in fetal brain control RNA. The "high" expression group contained patients with tumor expression of TAp73 RNA greater than or equal to the median value of all tumors analyzed. The "low" expression group contained patients with tumor expression of TAp73 RNA less than the median value of all tumors analyzed. The significance of survival differences was calculated by logrank testing, which was applied to assess the significance of specific factors (e.g. patient stratification by TP73 expression level). To determine if expression levels correlated with other clinical and tumor characteristics, we applied Fisher's Exact testing.


Medulloblastoma cell lines and primary medulloblastoma specimens overexpress TP73RNA species relative to normal brain tissue

In order to examine the involvement of TP73 in medulloblastoma growth, we surveyed expression levels of TAp73 and total ΔNp73 variants (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73) using qRT-RTPCR. Compared to human fetal brain, Daoy and D283 cell lines, as well as adult human cerebellum overexpressed TAp73 and total ΔNp73 RNA variants, internally normalized to GAPDH (Figure 1B). TP53-mutant Daoy cells displayed much higher levels of TAp73 and of total ΔNp73 RNA (9-fold ± 1 (mean ± S.E.M.) and 12-fold ± 2, respectively) than fetal brain. D283 cells expressed even higher levels of TAp73 and total ΔNp73 (116-fold ± 35 and 74-fold ± 16, respectively).

Since established cell lines in vitro differ significantly from medulloblastomas in vivo, we analyzed primary tumor specimens from 34 patients. By qRT-RTPCR, the RNA expression of TAp73 and total ΔNp73 variants was similar among primary medulloblastoma samples but markedly higher than cell lines (Figure 1B–C, see Additional file 1). Primary tumors displayed 282-fold (± 65) more TAp73 and 194-fold (± 36) more total ΔNp73 RNA than human fetal brain.

To provide an additional tissue control, we analyzed TP73 5'-variants in RNA from human adult cerebellum. Compared to human fetal brain, adult cerebellum also displayed overexpression of TAp73 and total ΔNp73 RNA (24-fold ± 6 and 48-fold ± 5, respectively) (Figure 1B). Importantly, primary medulloblastoma samples expressed about 10-fold more TP73 RNA than normal adult cerebellum (Figure 1B). Of the four control tissue controls, male and female fetal brain RNA (Stratagene) revealed similar TP73 expression profiles. As shown in Figure 1B, adult cerebellum expressed 10 to 100-fold more TAp73 and ΔNp73 RNA compared to human fetal brain controls. We also examined TP73 RNA expression in human adult frontal cortex (Stratagene) by qRT-RTPCR, but found minimal expression of TAp73 or ΔNp73 transcripts (data not shown).

Since the effects of p73 isoforms likely reflect their ability to interact with p53, we assessed TP53 expression using primers in exons 5 and 7 to detect all known TP53 splice variants (Figure 1B, see Additional file 1). The Daoy cell line, which harbors a p53 mutation (C242F), expressed TP53 RNA at a level similar to human fetal brain, 1.1-fold (± 0.42), but 15-fold (± 2.0) more than human adult cerebellum. The D283 cell line expressed TP53 RNA at much lower levels than human fetal brain, 0.05-fold (± 0.016) and 0.43-fold (± 0.14) relative to human adult cerebellum. Primary medulloblastoma specimens displayed TP53 levels 1.4-fold (± 0.12) higher than in human fetal brain, and 12-fold (± 1.0) higher than in human adult cerebellum (Figure 1B). TP53 copy numbers in cell lines were at least one log lower than either TAp73 or total ΔNp73 levels, whereas in primary tumors TP53 was at least two logs lower than either TAp73 or total ΔNp73.

Primary tumors and cell lines overexpress TAp73 and ΔNp73 proteins

In order to examine expression of p73 proteins in established cell lines and primary medulloblastoma samples, we employed monoclonal (GC-15) and polyclonal (H-79) antibodies, which recognize full-length TAp73 and amino-truncated ΔNp73 [33], and a ΔNp73-specific monoclonal antibody (IMG-313) (Figure 2A–B, see Additional file 2). Protein levels were internally normalized to β-actin expression as a loading control and compared to expression in the D283 cell line as a reference.

Figure 2
figure 2

Primary medulloblastoma specimens and medulloblastoma cell lines overexpress TAp73 and ΔNp73 proteins. Western immunoblot analysis of p53, TAp73, and ΔNp73 protein expression in: (A) established medulloblastoma cell lines, Daoy and D283MED (D283), and (B) primary medulloblastoma specimens. Immunoblots for p53 (FL-393) or p73 proteins (H-79, GC-15, and IMG-313) were stripped and re-probed for β-actin (C-2) to control for protein loading. Columns marked with numbers 1–8 represent Western blots of eight different primary medulloblastoma specimens. Additional bands presumably represent additional carboxy-terminal isoforms of TAp73 and ΔNp73. Relative migration of molecular weight standards is shown at left. Shown are representative blots from at least 3 experiments, normalized to ß-actin (mean ± S.E.M.). (C) Primary medulloblastoma (MB) specimens and medulloblastoma cell lines display significant expression of TAp73, ΔNp73, and p53 proteins as quantitated on Western blots. Shown are representative blots from at least 3 experiments, normalized to ß-actin (mean ± S.E.M.).

The H-79 polyclonal antibody, raised against a conserved amino-terminal peptide sequence, recognizes the major carboxy-terminal variants of TAp73 (TAp73α, 75–80 kDa; and TAp73β, 60–65 kDa) and of ΔNp73 (ΔNp73α, 70–75 kDa; and ΔNp73β, 50 kDa) [34]. Both established medulloblastoma cell lines, Daoy and D283, exhibited significant, although different levels of TAp73 and ΔNp73, relative to β-actin (Figure 2C). Primary tumor specimens (n = 8), in contrast, exhibited more ΔNp73 (1.7-fold D283 levels (± 0.34)) compared to TAp73 (0.55-fold ± 0.2).

The GC-15 monoclonal antibody, raised against a conserved carboxy-terminal peptide sequence, found in p73β isoforms, also detected comparable levels of TAp73 protein in established cell lines and in primary medulloblastoma samples (Figure 2A–B). To confirm the identity of putative ΔNp73 bands, we used the ΔNp73-specific IMG-313 antibody (Figure 2A–B). Based on their predicted molecular weights, the other detected isoforms presumably represent other carboxy-terminal variants as reported by others [35]. The equivalent expression of TAp73 and ΔNp73 protein in D283 cells resembled its RNA expression pattern by qRT-RTPCR. In contrast, Daoy cells expressed slightly more TAp73 than ΔNp73 protein, and primary tumor samples displayed higher levels of ΔNp73 compared to TAp73 protein.

Primary medulloblastoma specimens and cell lines displayed variable p53 protein levels (Figure 2A–B, see Additional file 3). Daoy cells express high levels of mutant p53. The higher p53 level in Daoy cells suggests decreased turnover by MDM2-mediated degradation as commonly seen with many mutant p53 proteins. D283, which is wild-type for TP53, expresses much lower levels of p53 protein at baseline (Figure 2C). The relative p53 protein levels in established cell lines and primary medulloblastoma are similar to their pattern of TP53 RNA expression. Using antibodies with differing affinities precluded a direct comparison of p53 and p73 protein levels.

Although TP53 RNA expression did not correlate with clinical outcome, immunohistochemical staining intensity of p53 protein (scored > 2+) in paraffin-embedded formalin-fixed specimens was significantly associated with worse progression-free survival (PFS) (p < 0.035, Figure 3). These findings underscore the central importance of p53, which can interact with various p73 isoforms.

Figure 3
figure 3

Intensity of p53 immunostaining correlates with overall survival. Examples of medulloblastoma sections displaying (A) 1+, (B) 2+, and (C) 3+ intensity of p53 immunostaining. (D) Kaplan-Meier survival analysis illustrating association of 2+ and 3+ intensity with adverse progression-free survival (p < 0.035 by logrank testing).

Overall and progression-free survival are associated with TAp73 overexpression

For the entire group of patients studied, the median PFS was 35.4 months (range 4.0 – 88.3; 38.1 ± 4.5 months (mean ± S.E.M.)). We analyzed outcome among subsets of patients with respect to clinical variables such as age, extent of primary resection, or metastatic disease at diagnosis. As established in other series, those children less than 36 months old (p < 0.160 and p < 0.126 for overall survival (OS) and progression-free survival (PFS) by logrank, respectively) or with metastatic disease (M-positive Chang stage; p < 0.044 (OS) and p < 0.024 (PFS)) displayed a trend toward worse OS and PFS, but did not achieve statistical significance (Figure 4A–B). OS and PFS were not significantly associated with patient sex, degree of initial resection, or chemotherapy regimen.

Figure 4
figure 4

Medulloblastoma survival is associated with TAp73 overexpression. Kaplan-Meier analysis reveals trends toward adverse outcome associated with (A) age less than 36 months (p < 0.126 by logrank), and (B) metastatic (M+) disease at diagnosis (p < 0.024); while revealing (C) a trend toward better PFS (p < 0.052) and (D) better OS and in patients whose tumors display higher TAp73 RNA levels (p < 0.070). Patients were stratified (High vs. Low) according to tumor TAp73 levels, normalized to GAPDH and relative to fetal brain control. High = greater than or equal to the median tumor expression of TAp73 RNA. Low = less than the median tumor expression of TAp73 RNA.

The association of TP73 expression with clinical outcome in neuroblastoma, the most common malignant solid tumor of childhood, prompted our analysis of the relationship between TP73 RNA and survival in medulloblastoma patients. When stratified by tumor TAp73 RNA levels, higher expression was associated with better PFS (p < 0.052) and OS (p < 0.070) (Table 1; Figure 4C–D). We also examined RNA expression of TP53, TAp73, or ΔNp73 variants, and histologic subtype, but found no statistically significant association with OS or PFS. TP53 and TP73 RNA levels did not correlate with other prognostic factors such as patient age, metastatic status, or extent of resection, with p values ranging from 0.35 to 1.00 (Fisher's Exact test).

Genotoxic stress induces TP73expression in medulloblastoma cell lines

Because the analyzed tumor specimens were obtained before genotoxic treatment, gene expression levels do not reflect the activity of p53 and p73 isoforms. Therefore, we used medulloblastoma cell lines to assay responses to genotoxic stress in the form of chemotherapeutic agents used to treat medulloblastoma clinically (cisplatin (CDDP), etoposide (VP-16)) and another agent, doxorubicin, previously studied for TP73 induction (Figure 5A). When exposed to cytotoxic concentrations of these agents, TP53 and TP73 RNA levels, especially the ΔN'p73 species, increased in D283 cells (Figure 5B). Although less p53 induction was observed in TP53 mutant Daoy cells, increased TP73 levels including ΔN'p73 were detected (Figure 5C). These data indicate that in addition to post-translational stabilization, p73 levels are regulated at least in part through chemotherapy-induced p73 RNA transcription.

Figure 5
figure 5

Genotoxic agents induce TP73 expression and apoptosis in medulloblastoma cell lines. (A) Chemotherapeutic agents (cisplatin (CDDP) 1 µM, etoposide (VP-16) 10 µM, and doxorubicin (DOXO) 1 µM) induce TP73 expression in Daoy cells, especially ΔN’p73 species, as determined by qRT-RTPCR normalized to GAPDH expression. (B) CDDP-treated (1, 5, and 25 µM) D283 cells display induction of TP53 and TP73 RNA expression (including ΔN’p73 species) - similar to results observed in CDDP-treated Daoy cells. Western immunoblots reveal that (C) Daoy cells and (D) D283 cells transiently transfected with p53-GFP expression plasmid increase expression of tagged p53-GFP protein (at a higher apparent molecular weight than native p53), as well as the p53/p73 target, p21Waf1 (arrows, upper panels). Treatment with etoposide (VP-16, 1.5 µM) stabilizes wild-type p53 protein. Transient transfection with either TAp73 or ΔNp73 expression plasmids also increased respective protein levels, normalized to ß-actin loading control. (arrows lower panels).

D283 and Daoy cells were also used for transfection studies to determine the effects of overexpressed TAp73 and ΔNp73. Treatment with VP-16 stabilized p53 levels in D283 cells (Figure 5D). We examined the effects of increased p53, TAp73, and ΔNp73 levels by transient transfection with expression plasmids. Transient transfected p53, TAp73, and ΔNp73 could be readily distinguished on Western blots of D283 and Daoy cell lines (Figure 5C–D).

Chemotherapy and overexpressed p53 induce apoptosis

We investigated whether p53 induces apoptosis in medulloblastoma cells exposed to chemotherapeutic agents. Expression plasmid transfections also permitted flow cytometric analysis of the cell cycle distribution of fluorescently immunolabeled TAp73β-, ΔNp73β-, and p53-overexpressing transfectants. VP-16-induced changes in apoptosis were determined by flow cytometric quantitation of cells in sub-G0/G1 fractions, which was confirmed by TUNEL analysis (see Additional file 4). Similar results were obtained with CDDP and UV irradiation (data not shown).

TP53 mutant Daoy cells treated with VP-16 increased their apoptotic sub-G0/G1 population to 22.6% compared to 7.2% in untreated controls, illustrating VP-16 induced apoptosis in the absence of active p53 (Figure 6A). Overexpression of transfected wild-type p53 in Daoy cells caused increased apoptosis (10.1% in sub-G0/G1), compared to controls (7.2%) (Figure 6A). VP-16 treatment of p53-expressing Daoy transfectants further increased apoptosis (29.4%) (Figure 6A). These data indicate that transfected p53 expression partially restored p53 function in TP53-mutant Daoy cells.

Figure 6
figure 6

TAp73 induces apoptosis of medulloblastoma cell lines. Histograms summarizing flow cytometric analysis of cell cycle distributions of: (A) transfected Daoy cell line, illustrating the sub-G0/G1 peak representing apoptotic nuclei; and (B) transfected D283 cell line in sub-G0/G1, with plasmids and treatment with VP-16 (1.5 µM), as indicated. Y-axis, % of cells with apoptotic features by flow cytometry; X-axis, transfected plasmid(s) and culture conditions. Western immunoblots also reveal that (C) Daoy cells and (D) D283 cells transiently transfected with isoform-specific siRNA reveal knockdown of their respective protein levels. D283 knockdowns reduced protein expression of the p53/p73 target, p21Waf1, and cleavage of PARP (arrows).

When exposed to VP-16, D283 controls (transfected with a GFP-expressing control plasmid) underwent increased apoptosis as indicated by an increased fraction of cells in sub-G0/G1, from 7.0 to 11.3%, (Figure 6B). These results indicate that VP-16 induces apoptosis, as described for other neuroepithelial cell types with wild-type p53. Overproduction of p53 in D283 cells by transfection of a GFP-tagged p53 expression plasmid increased apoptosis (12.0% in sub-G0/G1) compared to controls (7.0%) (Figure 6B). VP-16 treatment of p53-transfected D283 cells further increased the sub-G0/G1 population to 18.6% (Figure 6B).

Overexpression of p53 in transfected Daoy cells increased expression of p21Waf1 protein, relative to control maxGFP-transfected cells (upper panels, Figure 5C). VP-16 treatment of p53-overexpressing D283 cells also increased p21Waf1 protein demonstrating the activity of transfected p53 (upper panels, Figure 5D).

Overexpression of TAp73β or ΔNp73β induces apoptosis

We examined the effects of TAp73 overexpression on survival. TAp73β overexpression increased apoptosis to 19.4% from 7.0% in GFP-control transfected wild-type TP53 D283 cells, even in the absence of genotoxic stress. VP-16 treatment of TAp73β transfectants resulting in further enhancement of chemosensitivity with 37.2% in sub-G0/G1 compared to 11.3% treated control and 19.4% in untreated TAp73β transfectants (Figure 6). Transfected TAp73β induced apoptosis as effectively as transfected p53 (Figure 6A). The sub-G0/G1 population in p53 mutant Daoy cells transfected with TAp73β did not differ significantly from control transfectants under basal conditions (Figure 6B).

We next asked whether ΔNp73 affects survival in medulloblastoma cells. Rather than anti-apoptotic effects, ΔNp73β overexpression increases apoptosis to 17.0% compared to 7.0% in GFP-control transfected D283 (Figure 6A). Transfection of ΔNp73β in D283 also increased apoptosis in response to VP-16-treated D283 (29.8% in sub-G0/G1) (Figure 6A). Neither of these effects was observed in transfected p53 mutant Daoy cells. These data suggest that apoptosis and chemosensitization induced by TAp73β and ΔNp73β, as in D283 cells, require wild-type p53.

As noted with p53 overexpression, transient transfection with expression plasmids encoding TAp73β or ΔNp73β resulted in increased protein expression of the p53/p73 target gene p21Waf1. Overexpression of TAp73β resulted in a comparable increase of p21Waf1 expression in Daoy cells and untreated D283 cells, relative to control transfectants (lower panels, Figure 5C–D). Overexpression of ΔNp73β also increased p21Waf1 protein expression (lower panels, Figure 5C–D). Treatment of p53-, TAp73β – and ΔNp73β-transfected D283 cells with VP-16 revealed similar induction of p21Waf1 (Figure 5D). These results demonstrate the transcriptional activity of overexpressed TP73 isoforms in medulloblastoma cell lines.

Knockdown of TAp73 or ΔNp73 reduces target gene expression and apoptosis

Transient transfection of Daoy and D283 cells with isoform-specific siRNAs decreased TAp73 and ΔNp73 protein expression by Western blot analysis (Figure 6C–D). In D283 transfectants, TAp73 siRNA decreased the protein expression of the p53/p73 target gene p21Waf1 (Figure 6D). As an indicator of decreased apoptosis, PARP cleavage was also decreased by TAp73 knockdown in D283 (Figure 6D). In contrast, D283 cells transfected with ΔNp73 siRNA did not display p73 target gene induction or PARP cleavage in D283 (Figure 6D). Reducing ΔNp73 expression siRNA resulted in decreased p21Waf1 protein as seen in TAp73 knockdowns (Figure 6D). These knockdown data complement the results of overexpression and apoptosis assays.


We have determined that primary medulloblastoma specimens and cell lines overexpress full-length TAp73 and the amino-terminal truncated variants of TP73 (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73) at levels in excess of those found in fetal brain and normal adult cerebellum. We have also shown that adult cerebellum express more TAp73 and 5'-terminal variant RNAs than human fetal brain. This is consistent with results from studies in murine brain showing that the relative balance of TP73 expression appears to shift during development with increasing overall levels [14]. Normal neuronal differentiation requires a balance between TAp73 and ΔNp73 [14, 15]. While ΔNp73 is necessary for adult neuronal survival, levels in excess of these physiologic anti-apoptotic levels may prevent normal cell death during development, following growth factor withdrawal, or in response to genotoxic stress such as chemotherapeutic agents [14].

Studies of TP73 expression in mature CNS have been limited. In adult mouse brain, TP73 is most highly expressed in the cerebellum [36]. Other studies of murine models have described the crucial role of ΔNp73 in survival of neurons in the CNS [37, 38]. In contrast, TP73 expression and function in normal human brain has not been fully characterized. Others have reported higher TP73 expression in human tumor tissue than in normal brain tissue [3941]. While human fetal brain reportedly expresses high levels of ΔNp73 in Cajal-Retzius cells [42], adult cortical and hippocampal neurons apparently express significant levels of both TAp73 and ΔNp73 [43]. While human cerebellum has not been previously studied, our qRT-RTPCR results confirm TP73 expression in non-neoplastic CNS tissue. Aberrant TP73 expression in the cerebellum may divert developing neurons from normal differentiation, leading to uncontrolled proliferation and medulloblastoma formation.

We have also confirmed high levels of expression of TAp73 and ΔNp73 proteins in the same tumors and cell lines. Among different cell types, the apparent discrepancy between expression of TP73 variants at the RNA and protein levels suggests that post-translational modifications also contribute to observed levels. Like other transcription factors, TP73 variants are regulated by a variety of positive and negative networks involving: E2F1, MDM2, Sumo-1, c-Abl, NEDL2, and other DNA damage response factors [21, 44]. Such complex regulatory influences probably account for the dynamic expression levels of TP73, as seen with p53.

Our analysis of primary medulloblastoma was limited to those specimens with sufficient quantities available as freshly snap frozen tissue suitable for analysis. This fact may represent an unintended selection bias. However, more importantly, none of our findings correlates with histologic subtype or clinical features. Nonetheless, we detected trends toward favorable overall and progression-free survival of patients whose tumors display higher levels of TAp73 RNA, similar to reports in certain adult tumor types [1619, 39]. Future inclusion of additional patients and longer follow-up may increase the strength of the association between TP73 and outcome.

TP73 overexpression in medulloblastoma samples compared to normal brain provides potential evidence for p73 isoforms in the growth and treatment response of medulloblastoma. In contrast to normal brain tissue, primary tumor specimens and established medulloblastoma cell lines overexpress both TAp73 and ΔNp73 proteins, consistent with dysregulation of developmental expression and a possible contribution to their neoplastic phenotype. Functional studies of TAp73 and ΔNp73 have revealed differential effects in response to genotoxic stress [16, 4446]. TAp73 induces arrest and apoptosis, while in most systems ΔNp73 counteracts these pathways in response to ionizing radiation and genotoxic agents in vitro [as reviewed in [47]]. In other cell types, ΔNp73 induces apoptosis instead, underscoring the complexity of p73 isoform function. The frequency and degree of TP73 overexpression in primary medulloblastoma strongly suggests the acquisition of selective advantage(s). Higher relative levels of TAp73 may enhance the apoptotic response of medulloblastoma.

Since p73 isoforms interact with p53 and can activate common target genes, overexpression of TAp73 and ΔNp73 may affect medulloblastoma growth via interaction with TP53 and may have functional significance in medulloblastoma. The association between apparent p53 overexpression and clinical outcome in medulloblastoma may not reflect the effects of wild-type p53. Since mutant or dominant negative p53 isoforms are also detected by the nonselective antibodies used, conclusions regarding potential interactions between p53 and p73 cannot be drawn in the absence of TP53 sequencing.

Etoposide and cisplatin are among the chemotherapeutic drugs important in the treatment of medulloblastoma, and known to activate TAp73. Cisplatin reportedly increases p73 levels by post-translational stabilization, but we detected increased p73 RNA species, most notably the ΔN'p73 variant, suggesting a component of transcriptional induction. Our results indicate that chemotherapy-induced genotoxic stress induces apoptosis in D283 and Daoy cells. Our results are consistent with studies of other wild-type p53 cell types, including neuroepithelial cells, indicating that VP-16 induces apoptosis in a p53-related manner [4850]. Furthermore, p53 overexpression alone induces apoptotic cell death, indicating that overexpression of p53 can overcome endogenous negative regulation in D283 cells and TP53-mutation in Daoy cells.

To address the functional significance of TAp73 and ΔNp73 overexpression, we transiently transfected medulloblastoma cell lines and examined their survival. Medulloblastoma cell lines with wild-type and mutant TP53 displayed distinct effects of TP73 overexpression. In addition to high levels of basal TAp73 and ΔNp73 in D283, we found that exogenous TAp73β and ΔNp73β increased apoptosis, especially in response to VP-16. In TP53 mutant Daoy cells, overexpressed TAp73β and ΔNp73β had little effect, even in response to VP-16.

In general, overexpression of p53, TAp73β, and ΔNp73β each induced expression of p53/p73 target genes associated with arrest and apoptosis. As expected, knockdown of p53 or TAp73 was associated with reduced expression of these proteins. These results support our TUNEL and flow cytometric data, providing evidence that modulation of p53 and p73 functions can influence chemosensitivity in medulloblastoma. These data suggest that TAp73 regulates apoptosis in medulloblastoma, but is dependent on the p53 status. One possible explanation for this effect is that some forms of mutant p53 can hetero-oligomerize with and inactivate TAp73 [33, 51]. Thus, transfected TAp73 may be sequestered in inactive oligomers with mutant p53 preventing activation of p73 pro-apoptotic target genes. In addition to direct interaction with p53, p73 isoforms co-regulate shared downstream transcriptional targets of p53.

The initial depiction of ΔNp73 and TAp73 as either anti- or pro-apoptotic appears oversimplified [as reviewed in [47]]. In fact, various chemotherapeutic agents can induce ΔNp73 expression in neoplastic cell lines, suggesting a role in apoptotic response [52, 53]. Others have noted that constitutive expression of ΔNp73 isoforms can either resist or increase apoptosis while inducing p53 target gene expression [54, 55]. The pro-apoptotic effects of ΔNp73 have been previously described and may reflect cell type-dependent factors other than specific interactions with p53. These emerging data indicate that the diversity of p73 functions depend upon the cellular context so that the pattern of isoforms expressed may cause pro- or anti-apoptotic effects. These factors add further to the complexity of interpreting the chemosensitizing effects and overabundance of p73 isoforms that we have observed in medulloblastoma. Nonetheless, our results indicate that TAp73 and ΔNp73 are overexpressed in primary medulloblastoma and demonstrate pro-apoptotic effects similar to those of p53, which may provide mechanisms for modulating tumor cell survival and clinically relevant prognostic information.


Our analysis of 34 medulloblastoma patient specimens and the medulloblastoma cell lines Daoy and D283 demonstrates significant expression of full-length, TAp73, and amino-terminal-truncated, ΔNp73, TP73 RNA transcripts and protein. Although the correlation between TP73 RNA expression and patient survival did not achieve statistical significance, there was a trend toward improved overall and progression-free survival in patients whose tumors exhibited high expression of TAp73 RNA. Furthermore, by overexpressing or knocking-down TAp73 or ΔNp73 expression, we have implicated TP73 isoforms in chemoresponsiveness of medulloblastoma. These results suggest that expression of the TP73 isoform TAp73 in medulloblastomas may be useful as a prognostic marker for patient survival. Our results also suggest that therapeutic strategies that increase TP73 expression may be useful to augment responsiveness of medulloblastomas to chemotherapy.



quantitative real-time reverse transcriptase polymerase chain reaction


terminal deoxynucleotidyl transferase-mediated biotinylated-dUTP nick end-labeling


overall survival


progression-free survival








  1. Giangaspero F, Bigner SH, Giordana MT, Kleihues P, Trojanowski JQ: Medulloblastoma. Pathology and Genetics: Tumours of the Nervous System. World Health Organization Classification of Tumours. Edited by: Kleihues P, Cavenee WK. 2000, Lyon, France: International Agency for Research of Cancer, 96-103.

    Google Scholar 

  2. McNeil DE, Cote TR, Clegg L, Rorke LB: Incidence and trends in pediatric malignancies medulloblastoma/primitive neuroectodermal tumor: a SEER update. Surveillance Epidemiology and End Results. Med Pediatr Oncol. 2002, 39 (3): 190-194. 10.1002/mpo.10121.

    Article  PubMed  Google Scholar 

  3. Rood BR, Macdonald TJ, Packer RJ: Current treatment of medulloblastoma: recent advances and future challenges. Semin Oncol. 2004, 31 (5): 666-675. 10.1053/j.seminoncol.2004.07.009.

    Article  PubMed  Google Scholar 

  4. Benard J, Douc-Rasy S, Ahomadegbe JC: TP53 family members and human cancers. Hum Mutat. 2003, 21 (3): 182-191. 10.1002/humu.10172.

    Article  CAS  PubMed  Google Scholar 

  5. Ohgaki H, Eibl RH, Wiestler OD, Yasargil MG, Newcomb EW, Kleihues P: p53 mutations in nonastrocytic human brain tumors. Cancer Res. 1991, 51 (22): 6202-6205.

    CAS  PubMed  Google Scholar 

  6. Oren M: Decision making by p53: life, death and cancer. Cell Death Differ. 2003, 10 (4): 431-442. 10.1038/sj.cdd.4401183.

    Article  CAS  PubMed  Google Scholar 

  7. Saylors RL, Sidransky D, Friedman HS, Bigner SH, Bigner DD, Vogelstein B, Brodeur GM: Infrequent p53 gene mutations in medulloblastomas. Cancer Res. 1991, 51 (17): 4721-4723.

    PubMed  Google Scholar 

  8. Frank AJ, Hernan R, Hollander A, Lindsey JC, Lusher ME, Fuller CE, Clifford SC, Gilbertson RJ: The TP53-ARF tumor suppressor pathway is frequently disrupted in large/cell anaplastic medulloblastoma. Brain Res Mol Brain Res. 2004, 121 (1–2): 137-140. 10.1016/j.molbrainres.2003.11.016.

    Article  CAS  PubMed  Google Scholar 

  9. Eberhart CG, Chaudhry A, Daniel RW, Khaki L, Shah KV, Gravitt PE: Increased p53 immunopositivity in anaplastic medulloblastoma and supratentorial PNET is not caused by JC virus. BMC Cancer. 2005, 5: 19-10.1186/1471-2407-5-19.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Wetmore C, Eberhart DE, Curran T: Loss of p53 but not ARF accelerates medulloblastoma in mice heterozygous for patched. Cancer Res. 2001, 61 (2): 513-516.

    CAS  PubMed  Google Scholar 

  11. Biegel JA: Cytogenetics and molecular genetics of childhood brain tumors. Neuro-oncol. 1999, 1 (2): 139-151. 10.1215/15228517-1-2-139.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Ellison D: Classifying the medulloblastoma: insights from morphology and molecular genetics. Neuropathol Appl Neurobiol. 2002, 28 (4): 257-282. 10.1046/j.1365-2990.2002.00419.x.

    Article  CAS  PubMed  Google Scholar 

  13. Kaghad M, Bonnet H, Yang A, Creancier L, Biscan JC, Valent A, Minty A, Chalon P, Lelias JM, Dumont X, Ferrara P, McKeon F, Caput D: Monoallelically expressed gene related to p53 at 1p36, a region frequently deleted in neuroblastoma and other human cancers. Cell. 1997, 90 (4): 809-819. 10.1016/S0092-8674(00)80540-1.

    Article  CAS  PubMed  Google Scholar 

  14. Pozniak CD, Radinovic S, Yang A, McKeon F, Kaplan DR, Miller FD: An anti-apoptotic role for the p53 family member, p73, during developmental neuron death. Science. 2000, 289 (5477): 304-306. 10.1126/science.289.5477.304.

    Article  CAS  PubMed  Google Scholar 

  15. Jacobs WB, Walsh GS, Miller FD: Neuronal survival and p73/p63/p53: a family affair. Neuroscientist. 2004, 10 (5): 443-455. 10.1177/1073858404263456.

    Article  CAS  PubMed  Google Scholar 

  16. Concin N, Becker K, Slade N, Erster S, Mueller-Holzner E, Ulmer H, Daxenbichler G, Zeimet A, Zeillinger R, Marth C, Moll UM: Transdominant DeltaTAp73 isoforms are frequently up-regulated in ovarian cancer. Evidence for their role as epigenetic p53 inhibitors in vivo. Cancer Res. 2004, 64 (7): 2449-2460. 10.1158/0008-5472.CAN-03-1060.

    Article  CAS  PubMed  Google Scholar 

  17. Concin N, Hofstetter G, Berger A, Gehmacher A, Reimer D, Watrowski R, Tong D, Schuster E, Hefler L, Heim K, Mueller-Holzner E, Marth C, Moll UM, Zeimet AG, Zeillinger R: Clinical relevance of dominant-negative p73 isoforms for responsiveness to chemotherapy and survival in ovarian cancer: evidence for a crucial p53-p73 cross-talk in vivo. Clin Cancer Res. 2005, 11 (23): 8372-8383. 10.1158/1078-0432.CCR-05-0899.

    Article  CAS  PubMed  Google Scholar 

  18. Dominguez G, Garcia JM, Pena C, Silva J, Garcia V, Martinez L, Maximiano C, Gomez ME, Rivera JA, Garcia-Andrade C, Bonilla F: DeltaTAp73 upregulation correlates with poor prognosis in human tumors: putative in vivo network involving p73 isoforms, p53, and E2F-1. J Clin Oncol. 2006, 24 (5): 805-815. 10.1200/JCO.2005.02.2350.

    Article  CAS  PubMed  Google Scholar 

  19. Guan M, Chen Y: Aberrant expression of DeltaNp73 in benign and malignant tumours of the prostate: correlation with Gleason score. J Clin Pathol. 2005, 58 (11): 1175-1179. 10.1136/jcp.2005.026955.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Ishimoto O, Kawahara C, Enjo K, Obinata M, Nukiwa T, Ikawa S: Possible oncogenic potential of DeltaNp73: a newly identified isoform of human p73. Cancer Res. 2002, 62 (3): 636-641.

    CAS  PubMed  Google Scholar 

  21. Stiewe T, Zimmermann S, Frilling A, Esche H, Putzer BM: Transactivation-deficient DeltaTA-p73 acts as an oncogene. Cancer Res. 2002, 62 (13): 3598-3602.

    CAS  PubMed  Google Scholar 

  22. Zaika AI, Slade N, Erster SH, Sansome C, Joseph TW, Pearl M, Chalas E, Moll UM: DeltaNp73, a dominant-negative inhibitor of wild-type p53 and TAp73, is up-regulated in human tumors. J Exp Med. 2002, 196 (6): 765-780. 10.1084/jem.20020179.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Alonso ME, Bello MJ, Gonzalez-Gomez P, Lomas J, Arjona D, de Campos JM, Kusak ME, Sarasa JL, Isla A, Rey JA: Mutation analysis of the p73 gene in nonastrocytic brain tumours. Br J Cancer. 2001, 85 (2): 204-208. 10.1054/bjoc.2001.1855.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Blaney SM, Boyett J, Friedman H, Gajjar A, Geyer R, Horowtiz M, Hunt D, Kieran M, Kun L, Packer R, Adamson PC, Jaeckle K, Klenke R, Aikin A, Murphy R, McCully C, Poplack DG: Phase I clinical trial of mafosfamide in infants and children aged 3 years or younger with newly diagnosed embryonal tumors: a pediatric brain tumor consortium study (PBTC-001). J Clin Oncol. 2005, 23 (3): 525-531. 10.1200/JCO.2005.06.544.

    Article  CAS  PubMed  Google Scholar 

  25. Duffner PK, Horowitz ME, Krischer JP, Burger PC, Cohen ME, Sanford RA, Friedman HS, Kun LE: The treatment of malignant brain tumors in infants and very young children: an update of the Pediatric Oncology Group experience. Neuro-oncol. 1999, 1 (2): 152-161. 10.1215/15228517-1-2-152.

    CAS  PubMed  PubMed Central  Google Scholar 

  26. Packer RJ, Goldwein J, Nicholson HS, Vezina LG, Allen JC, Ris MD, Muraszko K, Rorke LB, Wara WM, Cohen BH, Boyett JM: Treatment of children with medulloblastomas with reduced-dose craniospinal radiation therapy and adjuvant chemotherapy: A Children's Cancer Group Study. J Clin Oncol. 1999, 17 (7): 2127-2136.

    CAS  PubMed  Google Scholar 

  27. Strother D, Ashley D, Kellie SJ, Patel A, Jones-Wallace D, Thompson S, Heideman R, Benaim E, Krance R, Bowman L, Gajjar A: Feasibility of four consecutive high-dose chemotherapy cycles with stem-cell rescue for patients with newly diagnosed medulloblastoma or supratentorial primitive neuroectodermal tumor after craniospinal radiotherapy: results of a collaborative study. J Clin Oncol. 2001, 19 (10): 2696-2704.

    CAS  PubMed  Google Scholar 

  28. IARC TP53 Mutation Database. []

  29. Sanger Center Cancer Cell Line Project. []

  30. Pfaffl MW: A new mathematical model for relative quantification in real-time RT-PCR. Nucleic Acids Res. 2001, 29 (9): e45-10.1093/nar/29.9.e45.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. De Laurenzi V, Costanzo A, Barcaroli D, Terrinoni A, Falco M, Annicchiarico-Petruzzelli M, Levrero M, Melino G: Two new p73 splice variants, gamma and delta, with different transcriptional activity. J Exp Med. 1998, 188 (9): 1763-1768. 10.1084/jem.188.9.1763.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Irwin MS, Kondo K, Marin MC, Cheng LS, Hahn WC, Kaelin WG: Chemosensitivity linked to p73 function. Cancer Cell. 2003, 3 (4): 403-410. 10.1016/S1535-6108(03)00078-3.

    Article  CAS  PubMed  Google Scholar 

  33. Marin MC, Jost CA, Irwin MS, DeCaprio JA, Caput D, Kaelin WG: Viral oncoproteins discriminate between p53 and the p53 homolog p73. Mol Cell Biol. 1998, 18 (11): 6316-6324.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Lin KW, Nam SY, Toh WH, Dulloo I, Sabapathy K: Multiple stress signals induce p73beta accumulation. Neoplasia. 2004, 6 (5): 546-557. 10.1593/neo.04205.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Sayan AE, Paradisi A, Vojtesek B, Knight RA, Melino G, Candi E: New antibodies recognizing p73: comparison with commercial antibodies. Biochem Biophys Res Commun. 2005, 330 (1): 186-193. 10.1016/j.bbrc.2005.02.145.

    Article  CAS  PubMed  Google Scholar 

  36. Brain Gene Expression Map. []

  37. Lee AF, Ho DK, Zanassi P, Walsh GS, Kaplan DR, Miller FD: Evidence that DeltaNp73 promotes neuronal survival by p53-dependent and p53-independent mechanisms. J Neurosci. 2004, 24 (41): 9174-84. 10.1523/JNEUROSCI.1588-04.2004.

    Article  CAS  PubMed  Google Scholar 

  38. Pozniak CD, Barnabe-Heider F, Rymar VV, Lee AF, Sadikot AF, Miller FD: p73 is required for survival and maintenance of CNS neurons. J Neurosci. 2002, 22 (22): 9800-9.

    CAS  PubMed  Google Scholar 

  39. Loiseau H, Arsaut J, Demotes-Mainard J: p73 gene transcripts in human brain tumors: overexpression and altered splicing in ependymomas. Neurosci Lett. 1999, 263 (2–3): 173-6. 10.1016/S0304-3940(99)00130-5.

    Article  CAS  PubMed  Google Scholar 

  40. Zaika AI, Kovalev S, Marchenko ND, Moll UM: Overexpression of the wild type p73 gene in breast cancer tissues and cell lines. Cancer Res. 1999, 59 (13): 3257-63.

    CAS  PubMed  Google Scholar 

  41. Peters UR, Tschan MP, Kreuzer KA, Baskaynak G, Lass U, Tobler A, Fey MF, Schmidt CA: Distinct expression patterns of the p53-homologue p73 in malignant and normal hematopoiesis assessed by a novel real-time reverse transcription-polymerase chain reaction assay and protein analysis. Cancer Res. 1999, 59 (17): 4233-6.

    CAS  PubMed  Google Scholar 

  42. Meyer G, Perez-Garcia CG, Abraham H, Caput D: Expression of p73 and Reelin in the developing human cortex. J Neurosci. 2002, 22 (12): 4973-86.

    CAS  PubMed  Google Scholar 

  43. Cabrera-Socorro A, Pueyo Morlans M, Suarez Sola ML, Gonzalez Delgado FJ, Castaneyra-Perdomo A, Marin MC, Meyer G: Multiple isoforms of the tumor protein p73 are expressed in the adult human telencephalon and choroid plexus and present in the cerebrospinal fluid. Eur J Neurosci. 2006, 23 (8): 2109-18. 10.1111/j.1460-9568.2006.04750.x.

    Article  PubMed  Google Scholar 

  44. Marabese M, Marchini S, Sabatino MA, Polato F, Vikhanskaya F, Marrazzo E, Riccardi E, Scanziani E, Broggini M: Effects of inducible overexpression of DNp73alpha on cancer cell growth and response to treatment in vitro and in vivo. Cell Death Differ. 2005, 12 (7): 805-814. 10.1038/sj.cdd.4401622.

    Article  CAS  PubMed  Google Scholar 

  45. Irwin MS, Kondo K, Marin MC, Cheng LS, Hahn WC, Kaelin WG: Chemosensitivity linked to p73 function. Cancer Cell. 2003, 3 (4): 403-410. 10.1016/S1535-6108(03)00078-3.

    Article  CAS  PubMed  Google Scholar 

  46. Vossio S, Palescandolo E, Pediconi N, Moretti F, Balsano C, Levrero M, Costanzo A: DN-p73 is activated after DNA damage in a p53-dependent manner to regulate p53-induced cell cycle arrest. Oncogene. 2002, 21 (23): 3796-3803. 10.1038/sj.onc.1205465.

    Article  CAS  PubMed  Google Scholar 

  47. Irwin MS: DeltaNp73: misunderstood protein?. Cancer Biol Ther. 2006, 5 (7): 804-7. Epub 2006 Jul 14

    Article  CAS  PubMed  Google Scholar 

  48. Nam C, Yamauchi H, Nakayama H, Doi K: Etoposide induces apoptosis and cell cycle arrest of neuroepithelial cells in a p53-related manner. Neurotoxicol Teratol. 2006, 28 (6): 664-672. 10.1016/

    Article  CAS  PubMed  Google Scholar 

  49. Clifford B, Beljin M, Stark GR, Taylor WR: G2 arrest in response to topoisomerase II inhibitors: the role of p53. Cancer Res. 2003, 63 (14): 4074-4081.

    CAS  PubMed  Google Scholar 

  50. Attardi LD, de Vries A, Jacks T: Activation of the p53-dependent G1 checkpoint response in mouse embryo fibroblasts depends on the specific DNA damage inducer. Oncogene. 2004, 23 (4): 973-980. 10.1038/sj.onc.1207026.

    Article  CAS  PubMed  Google Scholar 

  51. Di Como CJ, Gaiddon C, Prives C: p73 function is inhibited by tumor-derived p53 mutants in mammalian cells. Mol Cell Biol. 1999, 19 (2): 1438-1449.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Blaheta RA, Michaelis M, Natsheh I, Hasenberg C, Weich E, Relja B, Jonas D, Doerr HW, Cinatl J: Valproic acid inhibits adhesion of vincristine- and cisplatin-resistant neuroblastoma tumour cells to endothelium. Br J Cancer. 2007 May 15

  53. Lunghi P, Costanzo A, Salvatore L, Noguera N, Mazzera L, Tabilio A, Lo-Coco F, Levrero M, Bonati A: MEK1 inhibition sensitizes primary acute myelogenous leukemia to arsenic trioxide-induced apoptosis. Blood. 2006, 107 (11): 4549-53. 10.1182/blood-2005-07-2829. Epub 2006 Feb 7

    Article  CAS  PubMed  Google Scholar 

  54. Liu G, Nozell S, Xiao H, Chen X: DeltaNp73beta is active in transactivation and growth suppression. Mol Cell Biol. 2004, 24 (2): 487-501. 10.1128/MCB.24.2.487-501.2004.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Marrazzo E, Marchini S, Previdi S, Broggini M: Questioning the oncogenic role of DeltaNp73alpha in different cell lines expressing p53 or not. Cancer Biol Ther. 2006, 5 (7): 794-803. Epub 2006 Jul 28

    Article  CAS  PubMed  Google Scholar 

Pre-publication history

Download references


We thank Diana Joo Youn Hwang, Sowmya Paturi, and the Texas Children's Cancer Center Flow Cytometry Core Laboratory for technical assistance; Carolyn Pena for administrative support; Ching Lau for assistance with tissue procurement; Donald L. Durden and Rita Nahta for helpful discussions. This work was supported by funding from: Associazione Italiana contro le Leucemie (MDB); John S. Dunn Research Foundation; NIH grants HD042977 (RCC) and NS043517 (JYHK); The Terry Fox Foundation of the National Cancer Institute of Canada, the James Birrell Neuroblastoma Research Fund (MSI); The American Cancer Society, The Baylor College of Medicine Cancer Center, The Brain Tumor Society, The Childhood Brain Tumor Foundation, the Gillson Longenbaugh Foundation, and John and Carroll Goodman (JYHK).

Author information

Authors and Affiliations


Corresponding author

Correspondence to John YH Kim.

Additional information

Competing interests

The author(s) declare that they have no competing interests.

Authors' contributions

RCC, MDB, LLL, JAR, DGS, MSI, and JYHK contributed to expression and functional analyses. RCC, MDB, LP, AMA, MSI, and JYHK analyzed primary tumor pathology, clinical characteristics and patient outcomes. RCC, MDB, and JYHK performed the statistical analyses. AMA, RCC, and JYHK analyzed immunohistochemistry of tumor tissue sections. MSI and JYHK conceived the study, and with RCC and MDB participated in its design, coordination, and manuscript composition. All of the authors made significant contributions to data interpretation, and have read and approved the final manuscript.

Electronic supplementary material


Additional file 1: TP73 RNA expression in primary medulloblastoma samples. Individual primary medulloblastoma samples from patients (n = 34) display overexpression of TAp73 (TA) and 5'-terminal variant RNA species, relative to human fetal brain and normalized to GAPDH expression. By comparison, TP53 RNA is relatively underexpressed. Total ΔNp73 represents the sum of expression of all 5'-terminal variant TP73 RNA variants (ΔNp73, ΔN'p73, ΔEx2p73, and ΔEx2/3p73). Columns, mean expression of at least 2 experiments; error bars, ± S.E.M. Y-axis, RNA expression relative to human fetal brain and normalized to GAPDH expression (N.B. log-scale). (JPEG 264 KB)


Additional file 2: Primary medulloblastoma samples express p53 protein. Western blot analysis reveals that individual primary medulloblastoma samples from patients express p53 (internally normalized to β-actin expression and relative to D283 cells). (JPEG 229 KB)


Additional file 3: TAp73 and ΔNp73 protein expression in primary medulloblastoma samples. Western blot analysis reveals that individual primary medulloblastoma samples from patients display overexpression of full-length TAp73 and amino-terminal truncated ΔNp73 (internally normalized to β-actin expression and relative to D283 cells). (JPEG 286 KB)


Additional file 4: Apoptosis analysis. TUNEL assay of D283 cell line confirms apoptotic changes in PI-stained cell populations in the sub-G0/G1 peak (i.e. hypodiploid (less than 2n) DNA content, representing apoptotic nuclei) detected using flow cytometric methods. X-axis, transfected plasmids (described in text) and post-transfection culture conditions (VP-16, 1.5 μM); Y-axis, % of cells with apoptotic features by flow cytometry or TUNEL assay. (JPEG 184 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Castellino, R.C., De Bortoli, M., Lin, L.L. et al. Overexpressed TP73 induces apoptosis in medulloblastoma. BMC Cancer 7, 127 (2007).

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: