Skip to main content
NCBI home page
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2019 Jul 14.
Published in final edited form as: Oncogene. 2019 Jan 14;38(18):3340–3354. doi: 10.1038/s41388-018-0646-9

ATDC Mediates a TP63-Regulated Basal Cancer Invasive Program

Phillip L Palmbos 1,7,*, Yin Wang 1,7, Armand Bankhead 2,3,7, Alan J Kelleher 1, Lidong Wang 8,10, Huibin Yang 4, McKenzie L Ahmet 1, Erica R Gumkowski 1, Samuel D Welling 7, Brian Magnuson 2,7, Jacob Leflein 7, Guadalupe Lorenzatti Hiles 6,7, Ethan Abel 7, Michele L Dziubinski 5,7, Sumithra Urs 7, Mark Day 6, Mats E Ljungman 4,7, Diane M Simeone 8,9,10
PMCID: PMC6499660  NIHMSID: NIHMS1515857  PMID: 30643195

Abstract

Basal subtype cancers are deadly malignancies but the molecular events driving tumor lethality are not completely understood. Ataxia-Telangiectasia Group D Complementing gene (ATDC, also known as TRIM29), is highly expressed and drives tumor formation and invasion in human bladder cancers but the factor(s) regulating its expression in bladder cancer are unknown. Molecular subtyping of bladder cancer has identified an aggressive basal subtype which shares molecular features of basal/squamous tumors arising in other organs and is defined by activation of a TP63-driven gene program. Here we demonstrate that ATDC is linked with expression of TP63 and highly expressed in basal bladder cancers. We find that TP63 binds to transcriptional regulatory regions of ATDC and KRT14 directly, increasing their expression, and that ATDC and KRT14 execute a TP63-driven invasive program. In vivo, ATDC is required for TP63-induced bladder tumor invasion and metastasis. These results link TP63 and the basal gene expression program to ATDC and to aggressive tumor behavior. Defining ATDC as a molecular determinant of aggressive, basal cancers may lead to improved biomarkers and therapeutic approaches.

Keywords: Bladder cancer, ATDC, TRIM29, TP63, basal cancer

INTRODUCTION

In the United States, over 79 000 patients will be diagnosed with bladder cancer and >16 000 people will die this year1. While noninvasive bladder cancers are common (80%) and often recur after resection, they rarely metastasize. In contrast, bladder tumors which display stromal and/or muscle-invasion (20%) frequently metastasize, even after aggressive multimodality therapy. Thus, a tumor’s ability to invade through stroma (T1) and muscle (T2) is a defining feature of aggressive and lethal bladder cancers. Despite the clinical importance of this invasive phenotype, the biological factor(s) which govern invasive progression are poorly-defined.

Comprehensive profiling of human bladder cancers has revealed distinct molecular subtypes which correlate with clinical outcomes2–7. While there is variation in the definition and number of molecular subtypes, all classifications include both basal and luminal groups8,9. The luminal subtype, which demonstrates a more differentiated gene signature with upregulation of genes like KRT20, GATA3 or PPARγ, typically displays a more favorable prognosis. The basal/squamous-like subtype (BASQ-like), which is associated with a TP63-driven gene program, typically expresses high molecular weight keratins such as KRT5, KRT6, KRT14 and lack FOXA1 or GATA3 and portends a worse clinical prognosis. Other subcategories, including p53-like, urobasal A, urobasal B, infiltrative, genomically unstable and neuronal, each partly overlapping with basal or luminal subtyping have also been proposed7,9,10. Molecular profiling of BASQ-like bladder tumors has determined that their molecular signature is similar to other types of human basal tumors, such as head and neck squamous cell carcinomas (HNSCC), non-small cell lung cancers and basal breast cancers, which are marked by upregulation of TP63 regulated genes, linking this entire family of aggressive, poor prognosis tumors11.

TP63 has been proposed to be a regulator of the basal gene program but it exists in many isoforms which may possess distinct transcriptional activity11,12. Specifically, TP63 has two alternate promoters/start sites which result in two distinct N terminal protein domains, TA (transactivation) or the dN domains. Both the TAp63 and dNp63 isoforms have α, β and γ splice variants in the carboxyl terminal region, resulting in multiple TP63 isoforms13. Previously, dNp63 isoform expression was linked to basal cells in normal urothelium and to worse prognosis among patients with invasive bladder cancers14.

Ataxia Telangectasia Group D Complementing (ATDC), also known as TRIM29, is an oncogene which promotes tumorigenesis in many organs15–18. ATDC is highly expressed in human bladder cancers and overexpression is sufficient to drive bladder cancer development in transgenic (tg) mice16. ATDC expression also promotes invasion in pancreatic and bladder cancer cells16,19. Nonetheless, it is rarely mutated or amplified in human cancers (cancer.sanger.ac.uk/cosmic/). While other groups have implicated miR-185 and −761 and ATM as mechanisms of ATDC expression modulation in other tumors, there is no evidence that expression of these molecules correlates with ATDC expression in human bladder cancers20–24. Thus the factor(s) governing ATDC regulation in bladder cancer have not been clearly defined.

Here we demonstrate that ATDC expression is linked to TP63 expression and both are enriched in aggressive basal bladder cancers. We demonstrate that TP63 drives ATDC expression and binds directly to transcriptional enhancer sites within the first intron of ATDC using chromatin immunoprecipitation. TP63 expression also induces increased transcription of the basal gene KRT14 and together, ATDC and KRT14 promote basal bladder cancer cell invasion in vivo and in vitro. This work defines TP63 as a critical upstream regulator of ATDC, which serves to mediate an invasive basal gene program.

RESULTS

ATDC expression is highly correlated with expression of TP63 and basal genes.

ATDC is a driver of cancer formation and invasion but it is not commonly mutated or amplified15,16,18,19. To identify genes which might regulate ATDC expression in cancer, we examined RNA-seq data from TCGA human urothelial carcinomas using the cBioPortal tool24,25. Of the top 30 genes whose expression was most correlated with ATDC expression in human bladder cancer, only 3 were putative regulators of gene transcription and of these, only the tumor protein p63 (TP63, Spearman’s R = 0.54, Pearson’s R = 0.46, p < 0.00001, Table 1) has an established role in cancer biology. TP63, a paralog of p53, has been proposed as a transcriptional regulator of the basal gene program and is upregulated in basal subtype bladder, breast and ovarian cancers11. Interestingly, expression of other basal genes, such as KRT5 and KRT6A were also significantly correlated with ATDC expression in the TCGA bladder cancer data set (Table 1). Since TP63, KRT5 and KRT6A are markers of aggressive BASQ-like bladder tumors which have poor prognosis, we decided to further interrogate the relationship of TP63 and ATDC in basal subtype cancers.

Table 1.

Genes with highest correlation with ATDC mRNA expression in TCGA bladder urothelial carcinoma samples.

Gene Pearson’s Correlation Spearman’s Correlation Gene Description
PVRL1 0.67 0.71 Nectin1. Ca++ independent cell-cell adhesion.
GJB5 0.6 0.67 Gap junction protein beta 5. Connexin family.
PERP 0.58 0.61 TP53 apoptosis effector. Desmosome.
JUP 0.55 0.55 Junction plakoglobin. Desmosome, intermediatejunctions.
FAT2 0.53 0.6 FAT atypical cadherin 2
SFN 0.52 0.54 Stratifin. Cell cycle checkpoint.
GJB3 0.51 0.57 Gap junction protein beta 3. Connexin family.
LYPD3 0.5 0.61 Ly6/PLAUR domain containing 3.
PKP1 0.5 0.6 Plakophilini. Desmosome/nuclei.
KRT5 0.5 0.52 Keratin 5. Basal type II cytokeratin. Intermediate filament.
DUSP7 0.5 0.46 Dual specific phosphatase 7
PKP3 0.49 0.52 Plakophilin 3. Desmosome/nuclei.
HES2 0.48 0.55 Hes family bHLH transcription factor 2
RHOV 0.48 0.51 Ras homolog family member V
FRMD8 0.48 0.47 FERM domain containing 8
BICD2 0.48 0.37 BICD cargo adapter 2
SEMA4B 0.47 0.59 Semaphorin 4B
FAM83A 0.47 0.53 Family with sequence similarity 83 member A
KRT16 0.47 0.52 Keratin 16. Intermediate filament.
CMIP 0.47 0.51 c-Maf inducing protein
TTC22 0.47 0.49 Tetratricopeptide repeat domain 22
DSC3 0.47 0.49 Desmocollin 3. Calcium-dependent glycoprotein.
ZNF750 0.47 0.48 Zinc finger protein 750
BARX2 0.47 0.45 BARX homeobox 2. Transcription factor. Cell adhension/actin cytoskeleton.
ARHGEF 4 0.47 0.42 Rho guanine nucleotide exchange factor 4
TP63 0.46 0.54 Tumor protein p63
RIPK4 0.46 0.52 Receptor interacting serine/threonine kinase 4
KCTD1 0.46 0.52 Potassium channel tetramerization domain containing 1
KRT6A 0.46 0.46 Kerating 6A. Type II cytokeratin. Intermediate filament.
DSP 0.46 0.44 Desmoplakin. Intermediate filament anchor to desmosome.
Open in a new tab

Based on RNA Seq V2 RSEM data from TCGA human bladder cancer samples (n = 408). P values are <0.00001 for each correlation. Genes highlighted in gray are putative transcription factor/regulators. Basal marker genes KRT5 and KRT6A are highlighted in blue.

To examine ATDC’s relationship to TP63 and other genes associated with a basal molecular signature in human cancers, we compared expression of ATDC, TP63, KRT14 and KRT5, in TCGA RNA sequencing data from multiple tumor types (Fig. 1a)24,25. ATDC was significantly correlated with TP63, KRT14 and KRT5, across multiple tumor types including bladder, breast, prostate and esophageal cancer (Fig. 1a; all p values < 0.0001).

Fig. 1.

Fig. 1.

Open in a new tab

ATDC is correlated with TP63 and basal gene expression and is enriched in basal subtype bladder cancers. (a) ATDC is correlated with TP63, KRT14 and KRT5 mRNA levels in bladder, breast, prostate and esophageal cancers based on analysis of TCGA data. Pearson and Spearman correlations with ATDC: Bladder (n=413): TP63 (0.46, 0.54), KRT14 (0.34, 0.42), KRT5 (0.5, 0.52). Breast (n=1105): TP63 (0.43, 0.56), KRT14 (0.49, 0.74), KRT5 (0.5, 0.79). Prostate (n=499): TP63 (0.88, 0.94), KRT14 (0.4, 0.69), KRT5 (0.93, 0.97). Esophageal (n=185): TP63 (0.41, 0.77), KRT14 (0.47,0.79), KRT5 (0.72, 0.85). p-values for all Pearson correlations are < 0.00001. (b) Hierarchical clustering analysis of basal and luminal gene expression in TCGA human bladder cancers demonstrates that ATDC and TP63 expression is most closely associated with basal subtype bladder cancer. Heatmap was generated using z-scores calculated per-gene across all patients. (c-d) Scatter plots representing TP63 and ATDC expression in the luminal or basal tumors identified in Fig 1b. Line represents mean log2 RSEM expression. Expression differences between luminal and basal subtypes were highly statistically significant: ATDC p = 3.59 × 10−22 and TP63 p = 2.6 × 10−21. (e) Immunohistochemical staining for ATDC, KRT14, KRT20 and TP63 in human muscle invasive bladder cancer samples demonstrates ATDC co-expression in representative tumors with basal marker expression (top 2 panels), but not in luminal tumors expressing the marker KRT20 (bottom 2 panels). (f) Bar graph showing ATDC protein expression as measured by IHC in basal (KRT14+, n =15) and luminal (KRT20+, n = 30) human bladder tumors. Expression of ATDC was scored 0 (no staining) to 3 (intense staining) by experience observer blinded to experimental conditions. Student t test p value = 0.02. Error bars = SEM.

ATDC is enriched in basal subtype bladder cancers.

TP63 and the basal keratins, KRT14, KRT6 and KRT5 are enriched in the aggressive BASQ-like subtype of bladder cancer7. To further explore the relationship between ATDC and basal subtype bladder cancers, we performed hierarchical clustering of 408 human bladder cancer specimens from TCGA using published luminal (UPK1B, KRT20, UPK2, UPK3A) and basal (CD44, KRT14, KRT6B and KRT5) marker genes (Fig. 1b)2–4. This analysis defined two clusters corresponding to basal (n = 117) and luminal (n=291) tumors and demonstrated that TP63 and ATDC expression clustered with basal marker genes (Fig. 1b). To determine whether ATDC or TP63 was upregulated in basal vs luminal subtypes, we next compared mRNA levels of each along with individual basal and luminal marker genes (Fig. 1c–d, Supplemental Fig. 1a–b). As expected, luminal tumors had higher expression of luminal marker genes and basal tumors had higher expression of basal marker genes (Supplemental Fig. 1). Both ATDC and TP63 had significantly higher expression in basal vs luminal bladder cancers (Fig. 1c–d and Supplemental Fig. 1c, p = 3.59 × 10−22 and p = 2.6 × 10−21 respectively), demonstrating that ATDC mRNA expression is enriched in basal subtype tumors. Updated analysis of bladder cancers including the TCGA bladder cohort has further divided patients into five molecular subtypes; basal-squamous, luminal-papillary, luminal-infiltrated, luminal and neuronal9,10. Using these subtype categories, we examined ATDC and TP63 mRNA expression in the TCGA cohort and found that ATDC expression was highest in the basal-squamous subtype, lowest in the neuronal subtype and intermediate in the 3 luminal subtypes (Supplemental Fig. 2). Pair-wise Wilcox testing revealed significantly higher ATDC expression in basal-squamous vs luminal papillary, luminal and luminal-infiltrated subtypes (p = 0.000542) and in basal-squamous vs neuronal subtypes (p = 0.0000154). These results confirm that ATDC mRNA expression is enriched in the basal-squamous subtype of bladder cancer.

To determine if ATDC protein level was also elevated in basal bladder cancers, we performed immunohistochemical (IHC) staining of ATDC, KRT14, KRT20 and TP63 in 45 T2–T4 high-grade muscle invasive urothelial carcinomas. ATDC protein staining was enriched in samples with higher TP63 and KRT14 levels, whereas ATDC was lower in KRT20+ luminal tumors (representative images shown in Fig. 1e). To quantitate this difference, ATDC was scored based on intensity of IHC staining (0–3) in basal (KRT14+) and luminal (KRT20+) tumors and we found higher mean ATDC protein levels in basal vs luminal human bladder cancers (Figure 1f, n = 45, p = 0.02). These results indicate that ATDC protein level is significantly higher in basal subtype human bladder cancers.

dNp63α expression is linked to ATDC and drives basal gene expression.

TP63 exists in many isoforms which may possess distinct transcriptional activity (Fig. 2a)11,12. To examine which isoforms are expressed within basal and luminal human bladder cancers and understand their relationship with ATDC, we examined expression of each TP63 isoform in the TCGA bladder cancer cohort and in 19 human bladder cancer cell lines26,27. We found that the dNp63 N terminal isoforms were the most commonly expressed isoforms in both human TCGA specimens, representing 99% of total TP63 expression (Fig. 2b) and in bladder cancer cell lines (Fig. 2c). All 3 of the major dNp63 C terminal variant isoforms were detected, with dNp63α representing 71% of total TP63 expressed in bladder cancer. dNp63α expression was 3 fold higher than the next most common isoform, dNp63β (p = 2.86 × 10−27) (Fig. 2b and c). Further, dNp63α, β and γ expression was significantly higher in basal as compared to luminal subtype tumors (Fig 2b). Although the TA forms of TP63 were not detected in cell lines (Fig. 2c), TAp63 was detectable in a small subpopulation of human samples, representing less than 1% of all TP63 present in the TCGA bladder cancer cohort (Fig. 2b). We next correlated expression of each individual isoform with ATDC expression using the TCGA bladder cancer dataset. Expression of all three dNp63 isoforms (α, β, γ) was highly correlated with ATDC mRNA expression (Fig. 2d).

Fig. 2.

Fig. 2.

Open in a new tab

dNp63α is the most commonly expressed isoform of TP63 in bladder cancer and drives ATDC and basal gene expression. (a) Schematic diagram of TP63 isoforms. (b) Analysis of TCGA RNA sequencing data from bladder cancer samples (BLCA) classified as basal or luminal subtype demonstrates that dNp63α is predominate isoform expressed in human bladder cancer followed by dNp63β and dNp63γ respectively. dNp63α, β and γ were all more highly expressed in basal vs luminal subtypes (5.65 fold increase, p =8 × 10−22; 6.06 fold increase, p = 2.3 × 10−17; 4.1 fold increase, p = 1.7 × 10−24 respectively). (c) Similar TP63 isoform expression patterns were observed in a panel of 20 human bladder cancer cell lines. Line indicates median and box indicates first-third interquartile range for (b-c). (d) ATDC expression is significantly correlated with expression of dNp63α (Pearson 0.659), dNp63β (Pearson 0.662) and dNp63γ (Pearson 0.600) as well as total TP63 (Pearson 0.655) in the bladder cancer TCGA data set (all p values < 0.0001). (e) Overexpression of dNp63α and TAp63α drives upregulation of ATDC expression in UC10 and UC14 bladder cancer cell lines as measured by western blotting. (f) Overexpression of dNp63α in UC14 and UC10 human bladder cancer cell lines promoted expression of KRT14 and KRT6A genes as well as ATDC as measured by quantitative RT-PCR. n = 3 for each condition. Error bars = S.D. * indicates p < 0.05 compared to controls.

To determine if dNp63 or TAp63 isoforms were capable of upregulating ATDC, we overexpressed both in UC10 and UC14 bladder cancer cell lines and measured the effect on ATDC expression. Ectopic expression of dNp63α increased ATDC protein levels in both cell lines (Fig. 2e). While TAp63α overexpression also increased ATDC levels to a lesser degree in both cell lines (Fig. 2e), we chose to focus on dNp63α since it has previously been associated with regulation of aggressive basal gene programs11 and poor patient outcomes14,28 and because the TAp63 isoforms are rarely expressed in human disease (Fig. 2b and c). To confirm that dNp63α also promoted expression of KRT14 and KRT6A, other genes associated with the basal signature, we measured their expression using qRT-PCR in our bladder cell lines with ectopic expression of dNp63α and found that dNp63α drives upregulation of these basal genes (Figs. 2f). Taken together, these results suggest that dNp63α is the predominate isoform of TP63 expressed in human bladder cancer and is a regulator ATDC expression in bladder cancer.

dNp63α binds to an intronic enhancer of the ATDC gene.

If TP63 is a transcriptional regulator of ATDC, then one would predict that it binds to regulatory DNA elements of ATDC. Chromatin immunoprecipitation of TP63 combined with massive parallel sequencing (ChIP-seq) in human keratinocytes has revealed > 7500 putative TP63 binding sites29. To determine if TP63 had putative binding sites within gene regulatory sequences of ATDC we downloaded this data set (GEO accession number GSE32061) and examined enriched sequences near the ATDC genomic locus using the UCSD genome browser (Fig. 3a)30. We identified 3 regions enriched by TP63 ChIP, all within the first intron of ATDC and corresponding to regions of known H3K27 acetylation indicative of transcriptional regulatory sites. These data suggest that TP63 may be a direct transcriptional regulator of ATDC by binding to an intronic enhancer region of the gene.

Fig. 3.

Fig. 3.

Open in a new tab

TP63 binds to ATDC enhancer and KRT14 promoter elements. (a) TP63 chromatin immunoprecipitation (ChIP) sequencing data from human keratinocytes (GEO accession number GSE32061) identifies 3 putative TP63 binding sites within ATDC enhancer. Putative TP63 binding sites correspond to transcriptionally active regions marked by H3K27 acetylation. P1, P2 and P3 refer to location of PCR products used in (b-d). (b) ChIP of TP63 (p63α IP) in the UC14 bladder cancer cell line transduced with control or dNp63α overexpression (dNp63α OE) vectors indicates enrichment of ATDC P1, P2 and P3 sequence compared to IgG controls. dNp63α overexpression increased TP63 occupancy of binding sites in UC14. CDKN1A is a positive control target of TP63 binding. Satellite and RPL30 are negative controls. (c) TP63 ChIP in UC5 bladder cancer cell line confirms TP63 occupancy on ATDC P1, 2 and 3 binding sites. (d) TP63 ChIP in UC10 bladder cancer cells (low endogenous TP63 and ATDC) with and without ectopic dNP63α expression demonstrates TP63 occupancy at ATDC promoter sites only in cells with ectopic dNp63α expression. (e and f) TP63 ChIP in UC10 and UC14 cells with ectopic dNp63α demonstrates enrichment of KRT14 promoter element. All samples are done in triplicate. Error Bars = S.D. * denotes a statistically significant difference (p < 0.05, student t test) compared to satellite negative control for all panels. # denotes a statistically significant difference (p < 0.05, student t test) compared to both satellite negative control and vector control conditions for all panels.

To confirm that TP63 binds these ATDC intronic sites in bladder cancer cell lines, we designed PCR primers to amplify DNA sequences corresponding to these three peaks (P1, P2 and P3 in Fig. 3a) and performed ChIP of TP63 in UC14, UC5 (both with high endogenous ATDC and TP63 expression and UC10 (low endogenous ATDC and TP63 expression) bladder cancer cell lines with and without ectopic expression of dNp63α. In UC14 (Fig. 3b), TP63 ChIP enriched for the 3 putative ATDC intronic TP63-binding sites as well as a known TP63 target gene, CDKN1A, but not negative controls (Satellite DNA or RPL30, a non-TP63 target ribosomal gene). Ectopic expression of dNp63α (dNp63 OE) did drive significantly increased TP63 binding to ATDC intronic sites in UC14 which already has high endogenous TP63 expression (Fig. 2e and 3b). Similar results were seen in the UC5 cell line which also harbors high endogenous levels of TP63 and ATDC (Fig. 3c). In UC10, no TP63 enrichment of ATDC intronic sequences was observed in control cell lines which have low endogenous TP63 expression, but ectopic overexpression of dNp63α did increase TP63 ChIP of ATDC intronic sequences (Fig. 3d). The KRT14 promoter is another known target of TP63 binding and regulation29,31. To determine if TP63 ChIP also enriched KRT14 promoter sequences in bladder cancer cell lines, we performed TP63 ChIP and found significant enrichment of the previously defined KRT14 promoter site in UC10 and in UC14 cells with ectopic dNp63α expression (Fig. 3e and f). Together these results demonstrate that TP63 binds directly to enhancer elements within the first intron of ATDC and the promoter of KRT14.

dNp63α drives expression of ATDC.

Since TP63 expression was tightly correlated with ATDC expression and bound to regulatory sequences within the first intron, we hypothesized that TP63 was a transcriptional activator of ATDC. This was supported by ectopic expression of dNp63α, in UC10 and UC14 driving upregulation of ATDC (Fig. 2e). Other groups have also implicated ATDC in regulation of TP63 in other tumor types32. To confirm that TP63 regulated ATDC expression and to determine if ATDC also regulated TP63 expression, we knocked down TP63 or ATDC in UC5 and UC14 bladder cancer cell lines. We observed that knockdown of TP63 decreased ATDC protein and mRNA, but ATDC knockdown had no effect on TP63 expression (Fig. 4a, b and c). To confirm that TP63 was a transcriptional activator of ATDC and KRT14, ATDC and KRT14 reporter plasmids (tdTomato or GFP reporters, respectively) were co-transfected with empty vector or dNp63α expression vectors into 253J (low endogenous TP63 expression) and UC5 (high endogenous TP63 expression) bladder cancer cell lines and fluorescence was measured. Overexpression of dNp63α significantly increased ATDC and KRT14 reporter expression (Supplemental Fig. 3). These results implicate TP63 as a specific transcriptional activator which drives increased expression of ATDC and KRT14.

Fig. 4.

Fig. 4.

Open in a new tab

TP63 Drives Expression of ATDC and KRT14 in Bladder Cancer. (a) siRNA-mediated knockdown of TP63 reduced ATDC expression in UC5 and UC14 bladder cancer cell lines, but siRNA-mediated knockdown of ATDC had no effect on TP63 expression as measured by western blotting. IRF6 serves as a known TP63 target control. (b and c) siRNA-mediated knockdown of TP63 reduces TP63 and ATDC mRNA expression as measured by qRT-PCR in UC14. Error Bar = S.D. * p < 0.0001 compared to siCtl (d-e) Overexpression of dNp63α (dNp63α-OE) in UC10 (d) and UC14 (e) promotes increased expression of TP63 mRNA (qRT-PCR) compared to empty vector control (Vector) which was not effected by knockdown of ATDC with siRNA. Error Bar = S.D. N = 3. * p < 0.0001, ** p = 0.0099 compared to Vector siCtl for (d). * p = 0.0005, ** p = 0.05, each compared to Vector siCtl for (e). (f-g) dNp63α-OE upregulated expression of ATDC mRNA (dNp63α-OE siCtl compared to Vector siCtl) in UC10 (f) and UC14 (g). Error Bar = S.D. N = 3. * p < 0.0001 compared to Vector siCtl, ** p = 0.0007 compared to Vector siCtl, *** p < 0.0001 compared to dNp63α-OE siCtl for (f). * p < 0.0001 compared to Vector siCtl, ** p < 0.0001 compared to Vector siCtl, *** p = 0.0001 each compared to dNp63α-OE siCtl for (g). (h-i) dNp63α-OE upregulated expression of KRT14 mRNA (dNp63α-OE siCtl compared to Vector siCtl) but this upregulation was reduced by ATDC siRNA mediated KD (dNp63α-OE siCtl compared to dNp63α-OE siATDC) in UC10 (h) and UC14 (i). Error Bar = S.D. N = 3. * p = 0.06 compared to Vector siCtl, ** p = 0.0012 compared to Vector siCtl, *** p = 0.03 compared to dNp63α-OE siCtl for (h). * p = 0.007 compared to Vector siCtl, ** p = 0.0313 compared to dNp63α-OE siCtl for (i). (j) CRISPR-Cas9 mediated genomic ablation of ATDC in UC14 (ATDC Knockout #1 and 2) results in loss of ATDC mRNA. Error Bars = S.D. n = 3. * p < 0.0001 compared to ATDC wild type. (k) ATDC Knockout results in significant decrease in KRT14 mRNA expression. Error Bars = S.D. n = 3. * < 0.001 compared to wild type. (l) UC14 ATDC knockout (KO) cells have reduced ATDC and KRT14 protein expression compared to ATDC wild type (Wt). dNp63α-OE increased ATDC and KRT14 expression.

KRT14 has previously been implicated in mediating basal cancer cell invasion and is directly regulated as part of the basal gene program induced by TP634,11,33. KRT14 is upregulated in bladder cancer by TP63 and its expression is tightly correlated with ATDC expression in human bladder cancers (Figs. 1 and 2). Therefore, we next wanted to determine whether ATDC is required for TP63-mediated upregulation of KRT14. To measure this, we knocked down ATDC in cells with and without ectopic dNp63α expression and measured expression of TP63, ATDC and KRT14 mRNA using qRT-PCR in UC10 and UC14 cells (Fig. 4d–i). Ectopic overexpression of dNp63α increased TP63 mRNA levels by 100 fold in UC10 and 15 fold in UC14 while knock down of ATDC had no effect on TP63 expression (Fig. 4d and e), suggesting that ATDC does not regulate TP63 expression in bladder cancer cells. Ectopic overexpression of TP63 increased ATDC mRNA levels as expected in both cell lines (Fig. 4f and g). Ectopic overexpression of TP63 also promoted increased expression of KRT14 mRNA and this increase was abrogated by knockdown of ATDC (Fig. 4h and i). To further confirm the specificity of these findings, we generated CRISPR-Cas9 mediated genomic knockout of ATDC in the UC14 cell line (Fig. 4j, l). Knockout of ATDC reduced expression of KRT14 mRNA and protein but had no effect on TP63 expression, similar to siRNA knockdown experiments (Fig. 4k, l). To confirm that ectopic TP63 expression drove increased ATDC and KRT14, dNp63α was overexpressed in UC14 ATDC wild type or KO cells and protein levels were measured by western blotting (Fig. 4l). TP63 overexpression did increase ATDC and KRT14 protein levels as expected (Fig. 4l and Supplemental Fig. 4). Similar results were obtained with UC5 cells (data not shown). These results suggest that TP63 is an upstream regulator of both ATDC and KRT14 and that ATDC regulates expression of KRT14.

dNp63α induces invasion and proliferation via upregulation of ATDC and KRT14.

Knockdown of ATDC expression blocks invasion in bladder cancer cell lines16. Recent work has identified an important role for keratins in epithelial cell migration34. Further, TP63 and KRT14 promote keratinocyte migration and breast cancer cell invasion33,35. We therefore hypothesized that TP63 drives an invasive phenotype via upregulation of ATDC and KRT14. To test this, we overexpressed dNp63α or ATDC in human bladder cancer cell lines (253J, UC10 and UC14) and measured invasion using transwell assays. Overexpression of dNp63α significantly increased invasion in all three bladder cancer cell lines (Fig. 5a–c). We also confirmed that overexpression of ATDC significantly increased invasion in the same bladder cancer cell lines, similar to what was previously observed (Fig. 5a–c)16,18,19,36. To determine if TP63-induced invasion was dependent on expression of ATDC or KRT14, we next knocked down ATDC, TP63 and KRT14 in control cells and cells overexpressing dNp63α. siRNA-mediated knockdown of ATDC, TP63 and KRT14 blocked TP63-induced invasion in both UC10 and UC14 cell lines (Fig. 5d and e). To further confirm that ATDC was required for TP63-induced invasion, we overexpressed dNp63α in UC5 and UC14 bladder cancer cells with and without CRISPR-mediated ATDC knockout. We found that dNp63α overexpression significantly increased transwell invasion, but that this TP63-driven invasion was blocked by ATDC KO (Fig. 5f and g).

Fig. 5.

Fig. 5.

Open in a new tab

TP63 promotes invasion and requires ATDC and KRT14. Overexpression of dNp63α or ATDC drives increased invasion as measured by transwell assays for 253J (a), UC10 (b) or UC14 (c). n = 5. Error Bars = S.D. * p < 0.05 compared to control. (d-e) siRNA-mediated KD of ATDC and KRT14 blocked dNp63α induced invasion in transwell assays in UC10 (d) and UC14 (e). n = 4. Error Bars = S.D. * p < 0.05 compared to control. (f and g) dNp63α overexpression (OE) in UC5 (f) and UC14 (g) bladder cancer cells promoted invasion which was blocked by ATDC knockout. n = 3. Error Bars = S.D. * p < 0.05 compared to vector control. ** and *** p < 0.05 compared to dNp63α control. (h-k) dNp63a overexpression promoted invasion in 3D tumor spheroid invasion assays using UC14 (h) and UC5 (j) and this effect was blocked by ATDC knockout. Circles indicate extent of tumor prior to invasion. (i and k) Quantification of linear invasion distance of tumor spheroids shown in (h and j). Graphs shows mean of 4 independent measurements of farthest invaded distance. Error Bars = S.D.

We have previously shown that ATDC expression promotes cancer proliferation by effects on β-catenin and PTEN16,18. To determine if dNp63α also promoted proliferation and if ATDC and KRT14 were required for this effect, we knocked down ATDC or KRT14 using siRNA in UC14 bladder cancer cells expressing empty vector or dNp63α. Overexpression of dNp63α increased cell proliferation which was significantly reduced by knockdown of ATDC and KRT14 (Supplemental Fig. 5).

Since the effect of dNp63α on cancer cell proliferation could confound transwell invasion assays, we next interrogated the invasive phenotype induced by ATDC and TP63 in a 3D tumor spheroid model system where cellular invasion and motility could be observed directly37. In this system tumor spheroids (~ 50 μm in diameter) were generated by culturing isogenic UC14 and UC5 bladder cancer cells with or without dNp63α overexpression and CRISPR-mediated ATDC knockout in non-adherent conditions. We embedded the resulting tumor spheroids in type 1 collagen and monitored invasion using time-lapse microscopy for 72 hours. ATDC knockout blocked 3D tumor spheroid invasion and dNp63α overexpression promoted more extensive invasion and migration at 72 hours (Fig. 5h–k, supplemental video). This effect was abrogated by ATDC knockout (Fig. 5h–k, supplemental video). Together these results demonstrate that TP63 drives an invasive and proliferative program in basal bladder cancer and this program requires ATDC and KRT14.

dNp63α promoted bladder tumor growth, invasion and metastasis in vivo.

We next sought to determine if TP63 promoted tumor growth and invasion in vivo and to define the contribution of ATDC to this behavior. Ectopic dNp63α overexpression in UC10 and UC14 cells promoted tumor cell growth in vivo compared to control cells (Fig. 6a and b, Supplemental Fig. 6). H&E sections of these orthotopic bladder tumors demonstrated that dNp63α overexpression drove significant muscle invasion for UC10 tumors, whereas control tumors did not demonstrate muscle invasion (Fig. 6c and d, Supplemental Fig. 6). To determine if ATDC expression was required for TP63-induced invasion and growth in vivo, we utilized isogenic UC14 cell lines with and without CRISPR-mediated ATDC knockout and ectopic expression of dNp63α (OE) (Fig. 4l). Ectopic expression of dNp63α promoted tumor growth and invasion compared to empty vector controls whereas ATDC knockout blocked TP63-promoted tumor growth (p = 0.0025 and 0.0173 respectively) (Fig. 6e and f, Supplemental Figure 7). To determine the impact of dNp63α and ATDC on metastases in vivo, we inoculated bladders with luciferase labelled UC10 cells stably transduced with control or dNp63α OE vector with or without shRNA knockdown of ATDC and tumor growth and metastasis was monitored using bioluminescence (Fig. 6g and h). dNp63α OE resulted in larger tumors (Fig. 6g) and induced metastases (Fig. 6h, yellow arrows), an event not observed in control animals. Interestingly, shRNA-mediated knockdown of ATDC in the UC10 dNp63α OE cells significantly reduced tumor growth and completely blocked metastatic spread (Fig. 6g and h). These results demonstrate that expression of dNp63α promotes tumor growth, invasion and metastasis in vivo and that dNp63α-induced metastasis is dependent on ATDC.

Fig. 6.

Fig. 6.

Open in a new tab

TP63 drives in vivo tumor growth and invasion and requires ATDC. TP63 overexpression in UC14 (a) and UC10 (b) increased tumor growth in bladder orthotopic models. UC14 control vs dNp63α OE p value = 0.0053. UC10 control vs dNp63α OE p value = 0.21. n = 8–14 animals per group. Error bars = S.E.M. (c-d) H&E images of orthotopic UC14 (c) and UC10 (d) bladder tumors demonstrate increased invasion in tumors with dNp63α-OE. Arrows indicate areas of tumor invasion into the muscularis propria. Bar = 50μM. (e) Knockout of ATDC blocks TP63 induced tumor growth and invasion in an orthotopic bladder tumor model (UC14 cells) at 4 weeks. Four representative tumor bearing mouse bladders are shown. Upper panels show 2× cross-sectional H&E image of bladder plus tumor (Bar = 500μm). Black arrows indicate tumor. Inset image of corresponding bladder from necropsy. Lower panels show 20× H&E image of bladder tumor (Bar = 50μm). Yellow arrows and dashed line indicate muscle invasion. (f) Quantitation of tumor volumes from (e). Wt = ATDC wildtype. KO = ATDC knockout. Ctl = empty control overexpression vector. OE = dNp63α overexpression. * p = 0.0025 compared to ATDC Wt, TP63 Vector Ctl. ** p = 0.0173 compared to ATDC Wt, TP63 OE. Error bars = S.E.M. (g) Quantification of luciferase activity of bioluminescent primary bladder tumors demonstrated that knock down of ATDC (shATDC) blocked TP63-induced tumor growth of UC10 orthotopic tumors. Error bars = S.E.M. * p = 0.03 compared to UC10 dNp63αOE. (h) Knock down of ATDC (shATDC) blocked TP63-induced metastases from UC10 orthotopic tumors (Control n = 10, dNp63αOE n = 8 and dNp63aOE+shATDC n = 10). Bioluminescent imaging of 3 representative mice from each group are shown 1, 3 and 5 weeks after inoculation of bladder. Numbers and arrows indicate liver metastases confirmed by serial bioluminescent imaging, necropsy and H&E. Numbered H&E images of liver metastases shown on the right match numbered bioluminescent images. Bar = 50μM.

DISCUSSION

Patients with BASQ-like subtype bladder cancer typically have worse outcomes and shorter overall survival than other bladder cancer subtypes3,4,7,38, but the molecular events driving this behavior are incompletely understood11. Here we establish that TP63 directly regulates ATDC expression and mediates invasion in basal subtype bladder cancer using 3D invasion assays and orthotopic xenograft models. Since ATDC is rarely mutated or amplified in human cancers and the molecular events leading to increased expression have been incompletely defined, this data not only identifies ATDC as a novel mediator of basal tumor biology, but defines a new mechanism of expression regulation for this important oncogene. These results help to establish TP63, ATDC and KRT14 as an important regulators of the aggressive phenotype of basal tumors.

A TP63-regulated gene program has previously been proposed to be an important marker of basal tumor biology4,11,28. The basal cytokeratins are proposed to play important roles in cell migration and invasion34,35. Here we demonstrate that TP63 overexpression is sufficient to drive expression of ATDC and the basal intermediate filament gene, KRT14. Together, ATDC and KRT14 are required for invasion. Data from other tumor types has established that a basal gene program involving TP63 and KRT14 is employed in invasive leader cells of breast cancer where these genes are selectively upregulated in the invading cancer cells and mediate invasive progression33. Interestingly, ATDC is also upregulated in these invasive leader cells (personal communication, Andrew Ewald), suggesting that it is also linked to basal invasion programs in breast cancer and other cancer types. Therefore, this TP63-ATDC invasive axis appears to be conserved across basal subtype tumors suggesting that understanding this pathway has potential importance for many patients with diverse tumor types.

The observation that knockdown/knockout of ATDC negatively influenced KRT14 expression was potentially unexpected since TP63 was found to be a transcriptional activator and upstream of both genes (Figure 4). We have previously shown that ATDC functions by activation Wnt/β-catenin signaling 16,18. Wnt/β-catenin has recently be shown to upregulate KRT14 during cutaneous wound healing39 suggesting that the effect of ATDC on KRT14 expression could be mediated through Wnt/β-catenin signaling. In addition, ATDC has been previously shown to bind to, sequester and inhibit TP5340 which itself has been shown to be a transcriptional repressor of KRT1441. Therefore, although TP63 is an upstream regulator of both ATDC and KRT14 transcription, multiple feedforward or backward mechanisms may exist linking ATDC to KRT14 transcriptional regulation and this may represent an area for future investigation.

TP63 is commonly expressed in bladder and other tumor types with basal squamous histology. Our analysis of TP63 isoform expression in bladder cancers in TCGA and in bladder cancer cell lines represents a first comprehensive look at TP63 isoform expression in this disease. We find that dNp63α is the most highly expressed isoform (representing the vast majority of TP63 transcripts in most bladder cancers) followed by the dNp63β and γ isoforms. In contrast TAp63 isoforms are rarely expressed in human bladder cancers. It has previously been proposed that dNp63 and TAp63 isoform expression may correlate with patient outcomes and that dNp63 expression correlates with more aggressive disease in patients with muscle invasive bladder cancer14,28,42, while others have suggested that dNp63 expressing tumors have a favorable prognosis43. Our data supports the ability of dNp63α to drive aggressive tumor behavior by upregulation of ATDC and promotion of tumor invasion and metastasis in vitro and in vivo. Interestingly, the TAp63 isoform was also able to upregulate ATDC, although to a lesser degree. Future work will be necessary to define how TAp63 and dNp63 isoforms interact in the rare cases where they are co-expressed in bladder cancers.

Given the poor clinical outcomes of patients with BASQ-like bladder cancers, it is essential to develop a better understanding of the pathways which drive their formation and progression. The identification of ATDC as a major driver of tumor formation16 and our findings here that TP63 regulates ATDC as a part of a basal gene program, establish an important linkage between TP63, ATDC and aggressive tumor biology. These data suggest that TP63 and ATDC are potential biomarkers of invasive progression, a critical determinant of outcome in patients with bladder cancer. Identification of TP63 and ATDC as drivers of basal tumor biology suggest a new therapeutically targetable pathway for patients who currently lack adequate treatment options.

Materials and Methods

Bioinformatic Analyses.

Description of RNA sequencing data sources, gene level and isoform expression analyses and molecular subtype analyses are available in Supplemental Material and Methods.

Cell Culture.

The bladder cancer cell lines UM-UC5, UC9, UC10, UC14, 253J were obtained from ATCC (253J) or Monica Liebert (UM-UC5, UC9, UC10, UC14), finger-printed, mycoplasma negative and passaged in DMEM with 10% serum as previously described16.

Tissue Microarray Construction and Immunohistochemistry.

Detailed information is described in Supplemental Material and Methods.

Generation of TP63 Overexpression Constructs.

Generation of TP63 Overexpression constructs is described in detail in Supplemental Material and Methods.

Immunoblot Analysis.

Immunoblot analysis was done as previously described18 and antibody information is available in Supplemental Material and Methods.

Quantitative RT-PCR.

Total RNA isolation, generation of cDNA and RT-PCR utilizing TaqMan Fast Universal PCR Master Mix was performed as previously described16 and information on probes is available in Supplemental Material and Methods. All reactions were performed in triplicate. mRNA expression was normalized to endogenous GAPDH.

Chromatin Immunoprecipitation.

All ChIP experiments were carried out using SimpleChIP Enzymatic Chromatin IP Kit (Cell Signaling Technology, Danvers, MA) according to kit protocol. Antibody and primer sequences are available in Supplemental Material and Methods.

siRNA Knockdowns and CRISPR-mediated ATDC Knockout.

Predesigned SMART pool Ontarget plus siRNAs targeting TP63, ATDC, KRT14 and non-targeting controls were obtained from GE Dharmacon (Lafayette, CO) and transfected into cells using Lipofectamine RNAiMAX transfection reagent (ThermoFisher Scientific). ATDC knockout bladder cancer cell lines were generated using the Edit-R CRISPR-Cas9 system from Dharmacon (GE Healthcare, Lafayette, CO). Edit-R Lentiviral hEF1α-Blast-Cas9 lentiviral particles were transduced into UM-UC5 and UC14 cells and stable Cas9 expressing line was generated by blasticidin selection. Cells were co-transfected with tracrRNA and ATDC-targeting crRNA (CR-012409-02-0005) specific for exon 1 or with non-targeting crRNA control (U-002000–05) all from Dharmacon. Individual colonies were selected and screened for loss of ATDC expression and targeted mutations were confirmed using PCR and DNA sequencing.

Transwell invasion assays.

Invasion assays were performed using Collagen Cell Invasion Assays (ECM551) purchased from EMD Millipore (Darmstadt, Germany) and following manufacturer’s instructions as previously described16.

3D invasion assays and imaging.

3D spheroid invasion assays were carried out as previously described.37 Additional information is available in Supplemental Material and Methods.

Cell proliferation assays.

Cell proliferation was measured using the CellTiter-Glo Luminescent Cell Viability Assay (Promega, Madison, WI) and luminescence was read using a 96 well plate reader.

Orthotopic Bladder Tumor Models.

UC14 or UC10 bladder cancer cells (500,000) were injected into the bladder of each NSG mouse as previously described44. Gender and ages (8–10 weeks old) were balanced between each group. Tumor formation and metastasis was monitored by palpation and bioluminescent imaging. Mice were sacrificed after 4–6 weeks depending on the cell line. Mouse bladders and internal organs were submitted for H&E and subsequent analysis. All animal experiments were in compliance with protocols approved by University Committee for the Use and Care of Animals (UCUCA) at the University of Michigan.

Statistics and General Methods.

Number of replicates per group (n) is presented in each figure and/or legend. Statistical tests used include t test, Wilcoxon and Mann-Whitney and are indicated in figure, legend or methods. Error bars are either standard deviation (S.D.) or standard error of the mean (S.E.M.) and are indicated for each figure. Center values are means unless indicated in legend. Each experiment was repeated independently at least twice. For the animal experiments, animals were excluded if they died prior to completion of study. Animal sample sizes were chosen based on experimental feasibility and no randomization or blinding was employed.

Supplementary Material

Supp figures
video 1
Download video file (28.7MB, mp4)

Acknowledgements:

Financial Support: This work was funded by grants from the University of Michigan Cancer Center Core Grant CA046592–26S3, NIH K08 CA201335 (PLP), BCAN YIA (PLP), ASCO YIA (PLP), NIH R01 CA17483601 (DMS).

The authors would like to thank Andrew Ewald for assistance with the 3D invasion and imaging systems used in this study. The authors declare no competing financial interests.

Footnotes

Conflict of Interest: Authors have no financial conflicts to disclose.

Supplemental Material: Contains Supplemental Figures 1–7, Supplemental Material and Methods and Video.

REFERENCES

  • 1.Siegel RL, Miller KD & Jemal A Cancer statistics, 2016. CA Cancer J Clin 66, 7–30, doi: 10.3322/caac.21332 (2016). [DOI] [PubMed] [Google Scholar]
  • 2.Network TCGAR Comprehensive molecular characterization of urothelial bladder carcinoma. Nature, doi: 10.1038/nature12965 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Damrauer JS et al. Intrinsic subtypes of high-grade bladder cancer reflect the hallmarks of breast cancer biology. Proc Natl Acad Sci U S A 111, 3110–3115, doi: 10.1073/pnas.1318376111 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Choi W et al. Identification of distinct basal and luminal subtypes of muscle-invasive bladder cancer with different sensitivities to frontline chemotherapy. Cancer Cell 25, 152–165, doi: 10.1016/j.ccr.2014.01.009 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hedegaard J et al. Comprehensive Transcriptional Analysis of Early-Stage Urothelial Carcinoma. Cancer Cell 30, 27–42, doi: 10.1016/j.ccell.2016.05.004 (2016). [DOI] [PubMed] [Google Scholar]
  • 6.Sjödahl G et al. A molecular taxonomy for urothelial carcinoma. Clin Cancer Res 18, 3377–3386, doi: 10.1158/1078-0432.CCR-12-0077-T (2012). [DOI] [PubMed] [Google Scholar]
  • 7.Lerner SP et al. Bladder Cancer Molecular Taxonomy: Summary from a Consensus Meeting. Bladder Cancer 2, 37–47, doi: 10.3233/BLC-150037 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Choi W et al. Genetic Alterations in the Molecular Subtypes of Bladder Cancer: Illustration in the Cancer Genome Atlas Dataset. Eur Urol 72, 354–365, doi: 10.1016/j.eururo.2017.03.010 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Robertson AG et al. Comprehensive Molecular Characterization of Muscle-Invasive Bladder Cancer. Cell 171, 540–556.e525, doi: 10.1016/j.cell.2017.09.007 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Sjodahl G, Eriksson P, Liedberg F & Hoglund M Molecular classification of urothelial carcinoma: global mRNA classification versus tumour-cell phenotype classification. J Pathol 242, 113–125, doi: 10.1002/path.4886 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hoadley KA et al. Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin. Cell 158, 929–944, doi: 10.1016/j.cell.2014.06.049 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Murray-Zmijewski F, Lane DP & Bourdon JC p53/p63/p73 isoforms: an orchestra of isoforms to harmonise cell differentiation and response to stress. Cell Death Differ 13, 962–972, doi: 10.1038/sj.cdd.4401914 (2006). [DOI] [PubMed] [Google Scholar]
  • 13.Su X, Chakravarti D & Flores ER p63 steps into the limelight: crucial roles in the suppression of tumorigenesis and metastasis. Nat Rev Cancer 13, 136–143, doi: 10.1038/nrc3446 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Karni-Schmidt O et al. Distinct expression profiles of p63 variants during urothelial development and bladder cancer progression. Am J Pathol 178, 1350–1360, doi: 10.1016/j.ajpath.2010.11.061 (2011). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Lai W et al. Upregulated ataxia-telangiectasia group D complementing gene correlates with poor prognosis in patients with esophageal squamous cell carcinoma. Dis Esophagus 26, 817–822, doi: 10.1111/j.1442-2050.2012.01400.x (2013). [DOI] [PubMed] [Google Scholar]
  • 16.Palmbos PL et al. ATDC/TRIM29 Drives Invasive Bladder Cancer Formation through miRNA-Mediated and Epigenetic Mechanisms. Cancer Res 75, 5155–5166, doi: 10.1158/0008-5472.CAN-15-0603 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tang ZP et al. Ataxia-Telangiectasia Group D Complementing Gene (ATDC) Promotes Lung Cancer Cell Proliferation by Activating NF-κB Pathway. PLoS One 8, e63676, doi: 10.1371/journal.pone.0063676 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Wang L et al. Oncogenic function of ATDC in pancreatic cancer through Wnt pathway activation and beta-catenin stabilization. Cancer Cell 15, 207–219, doi:S1535–6108(09)00027–0 [pii] 10.1016/j.ccr.2009.01.018 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Wang L et al. ATDC induces an invasive switch in KRAS-induced pancreatic tumorigenesis. Genes Dev 29, 171–183, doi: 10.1101/gad.253591.114 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Qiu F, Xiong JP, Deng J & Xiang XJ TRIM29 functions as an oncogene in gastric cancer and is regulated by miR-185. Int J Clin Exp Pathol 8, 5053–5061 (2015). [PMC free article] [PubMed] [Google Scholar]
  • 21.Dükel M et al. The Breast Cancer Tumor Suppressor TRIM29 Is Expressed via ATM-dependent Signaling in Response to Hypoxia. J Biol Chem 291, 21541–21552, doi: 10.1074/jbc.M116.730960 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Guo GC, Wang JX, Han ML, Zhang LP & Li L microRNA-761 induces aggressive phenotypes in triple-negative breast cancer cells by repressing TRIM29 expression. Cell Oncol (Dordr) 40, 157–166, doi: 10.1007/s13402-016-0312-6 (2017). [DOI] [PubMed] [Google Scholar]
  • 23.Guo G et al. Whole-genome and whole-exome sequencing of bladder cancer identifies frequent alterations in genes involved in sister chromatid cohesion and segregation. Nat Genet, doi: 10.1038/ng.2798 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cerami E et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov 2, 401–404, doi: 10.1158/2159-8290.CD-12-0095 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Gao J et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal 6, pl1, doi: 10.1126/scisignal.2004088 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Tamura S et al. Molecular correlates of in vitro responses to dacomitinib and afatinib in bladder cancer. Bladder Cancer (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Hovelson DH et al. Targeted DNA and RNA Sequencing of Paired Urothelial and Squamous Bladder Cancers Reveals Discordant Genomic and Transcriptomic Events and Unique Therapeutic Implications. Eur Urol, doi: 10.1016/j.eururo.2018.06.047 (2018). [DOI] [PubMed] [Google Scholar]
  • 28.Choi W et al. p63 expression defines a lethal subset of muscle-invasive bladder cancers. PLoS One 7, e30206, doi: 10.1371/journal.pone.0030206 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.McDade SS et al. Genome-wide analysis of p63 binding sites identifies AP-2 factors as co-regulators of epidermal differentiation. Nucleic Acids Res 40, 7190–7206, doi: 10.1093/nar/gks389 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Kent WJ et al. The human genome browser at UCSC. Genome Res 12, 996–1006, doi: 10.1101/gr.229102. Article published online before print in May 2002 (2002). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Candi E et al. Differential roles of p63 isoforms in epidermal development: selective genetic complementation in p63 null mice. Cell Death Differ 13, 1037–1047, doi: 10.1038/sj.cdd.4401926 (2006). [DOI] [PubMed] [Google Scholar]
  • 32.Masuda Y, Takahashi H & Hatakeyama S TRIM29 regulates the p63-mediated pathway in cervical cancer cells. Biochim Biophys Acta 1853, 2296–2305, doi: 10.1016/j.bbamcr.2015.05.035 (2015). [DOI] [PubMed] [Google Scholar]
  • 33.Cheung KJ, Gabrielson E, Werb Z & Ewald AJ Collective invasion in breast cancer requires a conserved basal epithelial program. Cell 155, 1639–1651, doi: 10.1016/j.cell.2013.11.029 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wang F, Chen S, Liu HB, Parent CA & Coulombe PA Keratin 6 regulates collective keratinocyte migration by altering cell-cell and cell-matrix adhesion. J Cell Biol, doi: 10.1083/jcb.201712130 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Velez-delValle C, Marsch-Moreno M, Castro-Munozledo F, Galvan-Mendoza IJ & Kuri-Harcuch W Epithelial cell migration requires the interaction between the vimentin and keratin intermediate filaments. Sci Rep 6, 24389, doi: 10.1038/srep24389 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Xu W et al. RNA interference against TRIM29 inhibits migration and invasion of colorectal cancer cells. Oncol Rep 36, 1411–1418, doi: 10.3892/or.2016.4941 (2016). [DOI] [PubMed] [Google Scholar]
  • 37.Wang Y, Day ML, Simeone DM & Palmbos PL 3-D Cell Culture System for Studying Invasion and Evaluating Therapeutics in Bladder Cancer. J Vis Exp In Press, doi: 10.3791/58345 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Seiler R et al. Impact of Molecular Subtypes in Muscle-invasive Bladder Cancer on Predicting Response and Survival after Neoadjuvant Chemotherapy. Eur Urol, doi: 10.1016/j.eururo.2017.03.030 (2017). [DOI] [PubMed] [Google Scholar]
  • 39.Lee SH et al. The Dishevelled-binding protein CXXC5 negatively regulates cutaneous wound healing. J Exp Med 212, 1061–1080, doi: 10.1084/jem.20141601 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yuan Z et al. The ATDC (TRIM29) protein binds p53 and antagonizes p53-mediated functions. Mol Cell Biol 30, 3004–3015, doi:MCB.01023-09 [pii](2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Cai BH et al. p53 acts as a co-repressor to regulate keratin 14 expression during epidermal cell differentiation. PLoS One 7, e41742, doi: 10.1371/journal.pone.0041742 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Leivo MZ, Elson PJ, Tacha DE, Delahunt B & Hansel DE A combination of p40, GATA-3 and uroplakin II shows utility in the diagnosis and prognosis of muscle-invasive urothelial carcinoma. Pathology 48, 543–549, doi: 10.1016/j.pathol.2016.05.008 (2016). [DOI] [PubMed] [Google Scholar]
  • 43.Gaya JM et al. ΔNp63 expression is a protective factor of progression in clinical high grade T1 bladder cancer. J Urol 193, 1144–1150, doi: 10.1016/j.juro.2014.10.098 (2015). [DOI] [PubMed] [Google Scholar]
  • 44.Han AL et al. Fibulin-3 promotes muscle-invasive bladder cancer. Oncogene, doi: 10.1038/onc.2017.149 (2017). [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supp figures
NIHMS1515857-supplement-Supp_figures.pdf (1.4MB, pdf)
video 1
Download video file (28.7MB, mp4)

RESOURCES