Inactivation Of Tumor Suppressor Research Articles

Abstract IA29: Racial differences in the lung cancer transcriptome: Insights from coding, noncoding, and alternative polyadenylated genes

Abstract Deciphering the post-transcriptional mechanisms (PTM) regulating gene expression is an important step in understanding the molecular mechanisms underlying cancer transcriptomics and heterogeneity. Such studies are a core component of precision medicine and systems-level approaches to understanding the complexity of cancer. Historically, African Americans have been under-represented in clinical cancer research, a field that is increasingly focused on classifying patients according to molecular profiles. Thus, diversity helps to ensure equal access to new cancer therapies and better treatment for everyone. In the first analysis to study transcriptomic differences in lung cancer from European Americans and African Americans, we provided a detailed molecular analysis from paired non-small cell lung cancer tissues that identified differential coding and noncoding RNA expression in African Americans and European Americans. African American-enriched differential gene expression was characterized by stem cell and invasion pathways, while differential gene expression in lung tumors from European Americans was primarily characterized by cell proliferation pathways. Integration of noncoding RNA profiles suggested that population-specific gene expression was at least partly driven by population-specific miRNA expression profiles. Similar to other tumor types, we determined that race-enriched gene and miRNA expression signatures suggest a more aggressive disease in African Americans. Moreover, on the basis of predicted drug resistance to adjuvant chemotherapies, African Americans may not equally benefit from the same range of clinical drugs as European Americans. For example, drug susceptibility predictions using the CMAP resource revealed a strong inverse correlation between African Americans' resistance and European Americans' sensitivity to the same panel of drugs. While these are predicted findings, they demonstrate a proof of principle that population differences in gene expression could be important to consider in the context of drug development. Transcriptome profiling studies in cancer health disparities are not restricted to coding or noncoding gene expression. Alternative polyadenylation (APA) is a key PTM mechanism, whose comprehensive analysis remains an important open challenge. In our recent studies, we used a novel APA pipeline that sequences 3′ end-enriched RNA and maps polyA sites directly, an approach that is different to traditional 5′-3′ sequencing methods. We then comprehensively mapped the APA landscape in lung cancer for the first time, analyzing matched tissues derived from European American and African American patients. Consistent with previous observations and a finding that shortened 3′ UTRs are enriched in proliferating cells, we identified widespread shortening of the 3′ UTR in lung cancer. Many of these events were also associated with clinical outcome. Interestingly, we also observed racial differences in APA. Consistent with our previous findings showing that lung tumors from European Americans are enriched in cell proliferation pathways, tumors from EA were 2 times more likely to have shorter 3′ UTR transcripts. Further, we identified several genes where the 3′ UTR was lengthened in African Americans and shortened in European Americans, including PTEN, a known tumor suppressor previously linked with disparities in other cancer types. These data point towards APA as a mechanism of tumor suppressor inactivation that is independent of somatic copy number or mutational changes. Collectively, our data show that many aspects of the lung cancer transcriptome are shared between European Americans and African Americans, but that distinct patterns of expression and regulation are found in each population. Moreover, our work shows that the inclusion of patients of differing ethnicities also has the potential to inform our understanding of the biologic mechanisms of health disparities. Citation Format: Brid Ryan. Racial differences in the lung cancer transcriptome: Insights from coding, noncoding, and alternative polyadenylated genes [abstract]. In: Proceedings of the Eleventh AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2018 Nov 2-5; New Orleans, LA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl):Abstract nr IA29.

STAG1 vulnerabilities for exploiting cohesin synthetic lethality in STAG2-deficient cancers.

The cohesin subunit STAG2 has emerged as a recurrently inactivated tumor suppressor in human cancers. Using candidate approaches, recent studies have revealed a synthetic lethal interaction between STAG2 and its paralog STAG1 To systematically probe genetic vulnerabilities in the absence of STAG2, we have performed genome-wide CRISPR screens in isogenic cell lines and identified STAG1 as the most prominent and selective dependency of STAG2-deficient cells. Using an inducible degron system, we show that chemical genetic degradation of STAG1 protein results in the loss of sister chromatid cohesion and rapid cell death in STAG2-deficient cells, while sparing STAG2-wild-type cells. Biochemical assays and X-ray crystallography identify STAG1 regions that interact with the RAD21 subunit of the cohesin complex. STAG1 mutations that abrogate this interaction selectively compromise the viability of STAG2-deficient cells. Our work highlights the degradation of STAG1 and inhibition of its interaction with RAD21 as promising therapeutic strategies. These findings lay the groundwork for the development of STAG1-directed small molecules to exploit synthetic lethality in STAG2-mutated tumors.

RNA-biology ruling cancer progression? Focus on 3'UTRs and splicing.

The protein-coding regions of mRNAs have the information to make proteins and hence have been at the center of attention for understanding altered protein functions in disease states, including cancer. Indeed, the discovery of genomic alterations and driver mutations that change protein levels and/or activity has been pivotal in our understanding of cancer biology. However, to better understand complex molecular mechanisms that are deregulated in cancers, we also need to look at non-coding parts of mRNAs, including 3'UTRs (untranslated regions), which control mRNA stability, localization, and translation efficiency. Recently, these rather overlooked regions of mRNAs are gaining attention as mounting evidence provides functional links between 3'UTRs, protein functions, and cancer-related molecular mechanisms. Here, roles of 3'UTRs in cancer biology and mechanisms that result in cancer-specific 3'-end isoform variants will be reviewed. An increased appreciation of 3'UTRs may help the discovery of new ways to explain as of yet unknown oncogene activation and tumor suppressor inactivation cases in cancers, and provide new avenues for diagnostic and therapeutic applications.

Non-Coding RNAs in Lung Tumor Initiation and Progression.

Lung cancer is one of the deadliest forms of cancer affecting society today. Non-coding RNAs, such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs), through the transcriptional, post-transcriptional, and epigenetic changes they impose, have been found to be dysregulated to affect lung cancer tumorigenesis and metastasis. This review will briefly summarize hallmarks involved in lung cancer initiation and progression. For initiation, these hallmarks include tumor initiating cells, immortalization, activation of oncogenes and inactivation of tumor suppressors. Hallmarks involved in lung cancer progression include metastasis and drug tolerance and resistance. The targeting of these hallmarks with non-coding RNAs can affect vital metabolic and cell signaling pathways, which as a result can potentially have a role in cancerous and pathological processes. By further understanding non-coding RNAs, researchers can work towards diagnoses and treatments to improve early detection and clinical response.

Analysis of Promoter Hypermethylation of DAPK and BAX Apoptotic Genes in Iranian Gastric Cancer Patients Undergoing Chemotherapy

Background: The apoptotic route is mostly damaged in gastric cancer tumor cells. DNA methylation of promoter associated CpG islands inactivates tumor suppressor genes. The objective of the present study was to analyze the hypermethylation of death-associated protein kinase (DAPK) and Bcl-2-associated X protein (BAX) genes in individuals suffering from gastric cancer and undergoing chemotherapy. Methods: Genomic DNA was extracted from blood samples and the tissue fixed in the paraffin of 30 patients and normal individuals. Hypermethylation investigation of DAPK and BAX genes was conducted via methylation specific PCR technique, the outcomes of which were analyzed through electrophoresis and SPSS software version 20. Results: Methylation of both BAX and DAPK genes with a frequency of (28.3%, 21.7%) in blood and (23.3%, 23.3%) in tissue, respectively, had a significant relationship with gastric cancer (P˂0.01). A significant relationship was also observed between the methylation of BAX gene in tissue and tumor type (12, 35.3% and P˂0.01). No relationship was found between methylation and grade, stage, node, age, sex, and other pathologic and clinical data of the patients (P>0.05). There was a significant association between simultaneous methylation of DAPK and BAX genes in tumor and typical tissues with methylation a frequency of 40% and 95.83%, respectively (P˂ 0.01). Conclusion: Methylation of the BAX and DAPK genes can be used as a biomarker in bloodand an approach in the early detection of malignity and illness management. Methylation inhibitors with the potential for drug targeting of DAPK and BAX can further be employed in pharmacotherapy.

Tumor Suppressors in Chronic Lymphocytic Leukemia: From Lost Partners to Active Targets.

Tumor suppressors play an important role in cancer pathogenesis and in the modulation of resistance to treatments. Loss of function of the proteins encoded by tumor suppressors, through genomic inactivation of the gene, disable all the controls that balance growth, survival, and apoptosis, promoting cancer transformation. Parallel to genetic impairments, tumor suppressor products may also be functionally inactivated in the absence of mutations/deletions upon post-transcriptional and post-translational modifications. Because restoring tumor suppressor functions remains the most effective and selective approach to induce apoptosis in cancer, the dissection of mechanisms of tumor suppressor inactivation is advisable in order to further augment targeted strategies. This review will summarize the role of tumor suppressors in chronic lymphocytic leukemia and attempt to describe how tumor suppressors can represent new hopes in our arsenal against chronic lymphocytic leukemia (CLL).

Abstract P3-10-03: Exploiting p53-dependent functional duality of estrogen receptor-beta to repurpose tamoxifen for triple negative breast cancer therapy

Abstract Whether estrogen receptor beta (ERβ/ESR2) is a pro- or anti-oncogenic protein in breast cancer has been controversial. ERβ levels are generally high in triple-negative breast cancer (TNBC). Reports including the Cancer Genome Atlas (TCGA) show that about 80% of TNBC express mutant p53 and it is a major driver of these cancers. We tested the hypothesis that WT versus mutant status of p53 will have an important role in determining the duality of ERβ functions. We showed that ERβ directly binds to TP53 in human breast cancer cells. Using glutathione-S-transferase (GST)-pull down and co-imunoprecipitation assays, we have delineated the DNA binding domain (DBD) along with the hinge domain of ERβ and the C-terminal regulatory domain of p53 to be essential for the interaction. The highly sensitive in situ proximity ligation assay (PLA) showed that ERβ is capable of interacting with both wild type (WT) and mutant p53 in breast cancer cells and tumor tissues. ERβ and p53 antibodies validated for specificity were used for all experiments. Combination of proliferation, cell cycle, and apoptosis assays, RNAi technology, quantitative ChIP (qChIP), and real-time PCR (qRT-PCR) showed that ERβ is pro-proliferative in the context of WTp53, whereas it is anti-proliferative in the context of mutant p53 in multiple breast cancer cell lines. The p53-dependent diametrically opposite functions of ERβ were recapitulated in isogenic MDA-MB-231 TNBC cells (generated by CRISPR) that differ only in the presence of WT versus mutant p53. A major gain-of-function of mutant p53 is its ability to bind and inactivate tumor suppressor p73. We show that ERβ binds and sequesters mutant p53 from mutant p53−p73 complex leading to reactivation of p73. Consistent with these observations, immunohistochemistry (IHC) in TNBC patient tumor tissue microarray (TMA) showed that patients with tumors expressing mutant p53 along with high levels of ERβ were of smaller size and lower stage. Complementing these findings, our analysis of the subgroup of the basal-like/TNBC tumors expressing mutant p53 (but not WTp53) in the METABRIC dataset showed that patients with tumors expressing higher levels of ERβ RNA (ESR2) had significantly better breast cancer-specific survival. The finding that ERβ–mutant p53 combination prognosticates survival in TNBC is important as to date there are no effective prognostic markers for TNBC and suggest the potential for using ERβ−mutant p53 combination in stratification of TNBC into therapeutically actionable subgroups.Furthermore, our findings provide a mechanistic explanation for the functional duality of ERβ and the controversy over its pro-versus anti-tumorigenic role.Surprisingly, Tamoxifen (Tam) increased ERβ-mut-p53 interaction in TNBC cells leading to increased transcription of anti-proliferation genes and knockdown experiments showed that the effect on transcription was dependent on both p73 and ERβ. Importantly, when combined with doxorubicin (Adriamycin) Tam decreased several fold the IC50 of doxorubicin resulting in increased apoptosis. The combination was more effective in inhibiting TNBC xenograft tumor growth in vivo compared to either treatment alone. Significant clinical implications of these findings include the potential for treating patients with doxorubicin at much lower dose than what is currently used in the management of TNBC, thereby reducing its major cumulative dose side effects. Importantly, although at present Tam is not indicated for TNBC, our data suggest the possibility for repurposing Tam therapy alone or in combination with chemotherapy to treat TNBC stratified based on ERβ and p53 status. If validated in a clinical trial, our findings could lead to a therapy that is fundamentally better in terms of effectiveness, cost and time needed to reach the TNBC patients. Citation Format: Gokul M Das, Utpal K Mukhopadhyay, Chetan C Oturkar, Christina Adams, Nadi Wickramasekera, Sanjay Bansal, Rajesh Medisetty, Austin Miller, Wendy M Swetzig, Laxmi Silwal-Pandit, Anne-Lise Borresen-Dale, Creighton J Creighton, Jun Hyoung Park, Santhi D Konduri, Alka Mukhopadhyay, Alexander Caradori, Benny Abraham Kaipparettu. Exploiting p53-dependent functional duality of estrogen receptor-beta to repurpose tamoxifen for triple negative breast cancer therapy [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P3-10-03.

Interpreting pathways to discover cancer driver genes with Moonlight

Cancer driver gene alterations influence cancer development, occurring in oncogenes, tumor suppressors, and dual role genes. Discovering dual role cancer genes is difficult because of their elusive context-dependent behavior. We define oncogenic mediators as genes controlling biological processes. With them, we classify cancer driver genes, unveiling their roles in cancer mechanisms. To this end, we present Moonlight, a tool that incorporates multiple -omics data to identify critical cancer driver genes. With Moonlight, we analyze 8000+ tumor samples from 18 cancer types, discovering 3310 oncogenic mediators, 151 having dual roles. By incorporating additional data (amplification, mutation, DNA methylation, chromatin accessibility), we reveal 1000+ cancer driver genes, corroborating known molecular mechanisms. Additionally, we confirm critical cancer driver genes by analysing cell-line datasets. We discover inactivation of tumor suppressors in intron regions and that tissue type and subtype indicate dual role status. These findings help explain tumor heterogeneity and could guide therapeutic decisions. Identification of cancer driver genes, especially those that can act as tumour suppressors or oncogenes depending on context, remains a challenge. Here, the authors introduce Moonlight, a tool that integrates multi-omic data to address this challenge and identify numerous dual-role cancer genes.

Frequent alterations in p16/CDKN2A identified by immunohistochemistry and FISH in chordoma.

The expression of p16/CDKN2A, the second most commonly inactivated tumour suppressor gene in cancer, is lost in the majority of chordomas. However, the mechanism(s) leading to its inactivation and contribution to disease progression have only been partially addressed using small patient cohorts. We studied 384 chordoma samples from 320 patients by immunohistochemistry and found that p16 protein was lost in 53% of chordomas and was heterogeneously expressed in these tumours. To determine if CDKN2A copy number loss could explain the absence of p16 protein expression we performed fluorescence in situ hybridisation (FISH) for CDKN2A on consecutive tissue sections. CDKN2A copy number status was altered in 168 of 274 (61%) of samples and copy number loss was the most frequent alteration acquired during clinical disease progression. CDKN2A homozygous deletion was always associated with p16 protein loss but only accounted for 33% of the p16‐negative cases. The remaining immunonegative cases were associated with disomy (27%), monosomy (12%), heterozygous loss (20%) and copy number gain (7%) of CDKN2A, supporting the hypothesis that loss of protein expression might be achieved via epigenetic or post‐transcriptional regulatory mechanisms. We identified that mRNA levels were comparable in tumours with and without p16 protein expression, but other events including DNA promoter hypermethylation, copy number neutral loss of heterozygosity and expression of candidate microRNAs previously implicated in the regulation of CDKN2A expression were not identified to explain the protein loss. The data argue that p16 loss in chordoma is commonly caused by a post‐transcriptional regulatory mechanism that is yet to be defined.

Interpreting pathways to discover cancer driver genes with Moonlight

Cancer driver gene alterations influence cancer development, occurring in oncogenes, tumor suppressors, and dual role genes. Discovering dual role cancer genes is difficult because of their elusive context-dependent behavior. We define oncogenic mediators as genes controlling biological processes. With them, we classify cancer driver genes, unveiling their roles in cancer mechanisms. To this end, we present Moonlight, a tool that incorporates multiple -omics data to identify critical cancer driver genes. With Moonlight, we analyze 8000+ tumor samples from 18 cancer types, discovering 3310 oncogenic mediators, 151 having dual roles. By incorporating additional data (amplification, mutation, DNA methylation, chromatin accessibility), we reveal 1000+ cancer driver genes, corroborating known molecular mechanisms. Additionally, we confirm critical cancer driver genes by analysing cell-line datasets. We discover inactivation of tumor suppressors in intron regions and that tissue type and subtype indicate dual role status. These findings help explain tumor heterogeneity and could guide therapeutic decisions.

EREG-driven oncogenesis of Head and Neck Squamous Cell Carcinoma exhibits higher sensitivity to Erlotinib therapy.

Rationale: The oncogenesis of head and neck squamous cell carcinoma (HNSCC) is believed to result from oncogene activation and tumor suppressor inactivation. Here, we identified a new oncogenic role for the EREG gene in HNSCC.Methods: The TCGA database and immunohistochemistry assay were used to analyze expression of EREG in HNSCC tissues. Immunoblotting was performed to identify the EGFR-mediated pathways altered by EREG. The role of EREG in oncogenesis was investigated in vivo and in vitro.Results: Upregulated EREG expression predicted a poor prognosis and triggered HNSCC oncogenic transformation by activating the epidermal growth factor receptor (EGFR) signaling pathway. We also demonstrated the direct association of EREG with EGFR and that this binding required EGFR domains I and III and the N57 residue of EREG. Moreover, EREG overexpression was shown to promote HNSCC oncogenesis by inducing C-Myc expression, and the pharmacological inhibition of C-Myc rescued EREG-promoted HNSCC oncogenesis. Unlike other EGFR ligands, EREG could mimic EGFR mutations by sustaining the activation of the EGFR-Erk pathway, and high EREG expression was positively associated with the response to treatment with the EGFR inhibitor erlotinib. Furthermore, knockdown of EREG decreased sensitivity to erlotinib treatment in vitro and in vivo.Conclusions: These results identify the EREG-EGFR-C-Myc pathway as a crucial axis that drives HNSCC oncogenesis and show that EREG expression could be a predictive functional marker of sensitivity to erlotinib therapy in HNSCC.

Hypothesis: Retinoblastoma protein inactivation mediates effects of histone deacetylase inhibitor-induced Wnt hyperactivation in colorectal cancer cells.

Butyrate, a product of dietary fiber and a histone deacetylase inhibitor, induces apoptosis of colorectal cancer cells; this effect of butyrate is in part mediated by its ability to hyperactivate Wnt signaling, and may in part explain the preventive action of dietary fiber against colorectal cancer. However, the mechanisms by which Wnt hyperactivation promotes apoptosis are unknown. Inactivation of the retinoblastoma tumor suppressor occurs in some cancers and can lead to context-dependent cell proliferation or cell death/apoptosis. The function of retinoblastoma protein (Rb) in normal cells is modulation of cell cycle; inactivation of Rb allows for cell cycle progression and, hence, cell proliferation. Wnt signaling is upregulated in a variety of cancers, and deregulated Wnt signaling is a key initiating event in most cases of sporadic colorectal cancer. It has been shown that Wnt signaling activated by APC inactivation can synergize with the inactivation of Rb to induce apoptosis in a manner mediated by increased TORC1 activity, leading to induced metabolic and energy stress. Rb is typically not inactivated in colorectal cancer; however, Rb is phosphorylated and deactivated during cell cycle G1/S transition. This manuscript posits that it is during this time that butyrate/histone deacetylase inhibitor-induced Wnt hyperactivation induces apoptosis in colorectal cancer cells. Thus, the inactivation of Rb in cell cycle progression may synergize with Wnt hyperactivation to induce apoptosis in response to histone deacetylase inhibitors. The hypothesis is that hyperactivation of Wnt signaling enhances colorectal cancer cell apoptosis via the interaction between upregulated Wnt signaling and inactivated Rb during cell cycle progression. This paper discusses this hypothesis and offers initial experimental approaches for testing the hypothesis. A better understanding of how histone deacetylase inhibitors induce colorectal cancer cell apoptosis through hyperactivation of Wnt signaling, and of cross-talk between repression of cell cycle and induction of apoptosis that occurs with treatment with histone deacetylase inhibitors, can assist in the development of novel therapies for colorectal cancer.

Genetically Engineered Mouse Models for Liver Cancer.

Liver cancer is the fourth leading cause of cancer-related death globally, accounting for approximately 800,000 deaths annually. Hepatocellular carcinoma (HCC) is the most common type of liver cancer, comprising approximately 80% of cases. Murine models of HCC, such as chemically-induced models, xenograft models, and genetically engineered mouse (GEM) models, are valuable tools to reproduce human HCC biopathology and biochemistry. These models can be used to identify potential biomarkers, evaluate potential novel therapeutic drugs in pre-clinical trials, and develop molecular target therapies. Considering molecular target therapies, a novel approach has been developed to create genetically engineered murine models for HCC, employing hydrodynamics-based transfection (HT). The HT method, coupled with the Sleeping Beauty transposon system or the CRISPR/Cas9 genome editing tool, has been used to rapidly and cost-effectively produce a variety of HCC models containing diverse oncogenes or inactivated tumor suppressor genes. The versatility of these models is expected to broaden our knowledge of the genetic mechanisms underlying human hepatocarcinogenesis, allowing the study of premalignant and malignant liver lesions and the evaluation of new therapeutic strategies. Here, we review recent advances in GEM models of HCC with an emphasis on new technologies.

Promotion of cellular senescence by THG-1/TSC22D4 knockout through activation of JUNB

Induction of cellular senescence in cancerous cells is an important strategy which is used in the treatment of cancer. However, cancer cells are capable of exhibiting resistance to cellular senescence through inactivation of tumor suppressors. Because of this, establishment of a route to cellular senescence induction in cancer cells is a crucial direction for developing future cancer therapies. In this study, we demonstrate the involvement of TSC-22 homologous gene-1 (THG-1, also called TSC22D4) in the suppression of cellular senescence. CRISPR/Cas9 gene editing was used to establish THG-1 knockout (KO) cells in a THG-1 positive esophageal tumor cell line. It was found that THG-1 KO cells exhibited delayed cell proliferation as well as cellular senescence. The elevated expression of the CDK inhibitor P21(CDKN1A) was also identified in senescent cells. Through the investigation of the upstream pathway for induction of P21(CDKN1A), the JUNB pathway was identified to play a critical role in P21(CDKN1A) transcription; in fact, the siRNA-mediated knockdown of JUNB reduced the abundance of P21(CDKN1A) mRNA and cellular senescence in THG-1 KO cells. These findings provide a novel insight into the induction of cellular senescence in THG-1 positive cancer cells.

Immunological Effects of Epigenetic Modifiers.

Epigenetic alterations are associated with major pathologies including cancer. Epigenetic dysregulation, such as aberrant histone acetylation, altered DNA methylation, or modified chromatin organization, contribute to oncogenesis by inactivating tumor suppressor genes and activating oncogenic pathways. Targeting epigenetic cancer hallmarks can be harnessed as an immunotherapeutic strategy, exemplified by the use of pharmacological inhibitors of DNA methyltransferases (DNMT) and histone deacetylases (HDAC) that can result in the release from the tumor of danger-associated molecular patterns (DAMPs) on one hand and can (re-)activate the expression of tumor-associated antigens on the other hand. This finding suggests that epigenetic modifiers and more specifically the DNA methylation status may change the interaction of chromatin with chaperon proteins including HMGB1, thereby contributing to the antitumor immune response. In this review, we detail how epigenetic modifiers can be used for stimulating therapeutically relevant anticancer immunity when used as stand-alone treatments or in combination with established immunotherapies.

Biallelic Inactivation of Multiple Tumor Suppressors Is Associated with Early Relapse after Stem Cell Transplant in Newly Diagnosed Myeloma

Biallelic Inactivation of Multiple Tumor Suppressors Is Associated with Early Relapse after Stem Cell Transplant in Newly Diagnosed Myeloma

Loss of p53 function at late stages of tumorigenesis confers ARF-dependent vulnerability to p53 reactivation therapy

Cancer development is driven by activated oncogenes and loss of tumor suppressors. While oncogene inhibitors have entered routine clinical practice, tumor suppressor reactivation therapy remains to be established. For the most frequently inactivated tumor suppressor p53, genetic mouse models have demonstrated regression of p53-null tumors upon p53 reactivation. While this was shown in tumor models driven by p53 loss as the initiating lesion, many human tumors initially develop in the presence of wild-type p53, acquire aberrations in the p53 pathway to bypass p53-mediated tumor suppression, and inactivate p53 itself only at later stages during metastatic progression or therapy. To explore the efficacy of p53 reactivation in this scenario, we used a reversibly switchable p53 (p53ERTAM) mouse allele to generate Eµ-Myc-driven lymphomas in the presence of active p53 and, after full lymphoma establishment, switched off p53 to model late-stage p53 inactivation. Although these lymphomas had evolved in the presence of active p53, later loss and subsequent p53 reactivation surprisingly activated p53 target genes triggering massive apoptosis, tumor regression, and long-term cure of the majority of animals. Mechanistically, the reactivation response was dependent on Cdkn2a/p19Arf, which is commonly silenced in p53 wild-type lymphomas, but became reexpressed upon late-stage p53 inactivation. Likewise, human p53 wild-type tumor cells with CRISPR-engineered switchable p53ERTAM alleles responded to p53 reactivation when CDKN2A/p14ARF function was restored or mimicked with Mdm2 inhibitors. Together, these experiments provide genetic proof of concept that tumors can respond, in an ARF-dependent manner, to p53 reactivation even if p53 inactivation has occurred late during tumor evolution.

Recurrent noncoding U1snRNA mutations drive cryptic splicing in SHH medulloblastoma.

Summary ParagraphRecurrent somatic single nucleotide variants (SNVs) in cancer are largely confined to protein coding genes, and are rare in most pediatric cancers1–3. We report highly recurrent hotspot mutations of U1 spliceosomal small nuclear RNAs (snRNAs) in ~50% of Sonic Hedgehog medulloblastomas (Shh-MB), which were not present across other medulloblastoma subgroups. This U1-snRNA hotspot mutation (r.3a>g), was identified in <0.1% of 2,442 cancers across 36 other tumor types. Largely absent from infant Shh-MB, the mutation occurs in 97% of adults (Shhδ), and 25% of adolescents (Shhα). The U1-snRNA mutation occurs in the 5′ splice site binding region, and snRNA mutant tumors have significantly disrupted RNA splicing with an excess of 5′ cryptic splicing events. Mutant U1-snRNA mediated alternative splicing inactivates tumor suppressor genes (PTCH1), and activates oncogenes (GLI2, CCND2), represents a novel target for therapy, and constitutes a highly recurrent and tissue-specific mutation of a non-protein coding gene in cancer.

PTEN Mouse Models of Cancer Initiation and Progression

Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is one of the most frequently mutated, deleted, and functionally inactivated tumor suppressor genes in human cancer. PTEN is found mutated both somatically and in the germline of patients with PTEN hamartoma tumor syndrome (PHTS). PTEN encodes a dual lipid and protein phosphatase that dephosphorylates the lipid phosphatidylinositol-3,4,5-trisphosphate (PIP3), in turn negatively regulating the oncogenic PI3K-AKT pathway, a key proto-oncogenic player in cancer development and progression. Because of importance of PTEN in tumorigenesis, a large number of sophisticated genetically engineered mouse models (GEMMs) has been designed to elucidate the underlying mechanisms by which the "PTEN pathway" promotes tumorigenesis, while simultaneously providing a well-tailored system for the identification of novel therapies and offering platforms for new drug discoveries. This review summarizes the major cancer mouse models through which the PTEN pathway has been genetically deconstructed, and outlines the rapid development of GEMMs toward more detailed functional and tissue-specific analysis.

Understanding Cancer Through the Lens of Epigenetic Inheritance, Allele-Specific Gene Expression, and High-Throughput Technology.

Epigenetic information is characterized by its stable transmission during mitotic cell divisions and plasticity during development and differentiation. This duality is in contrast to genetic information, which is stable and identical in all cells in an organism with exception of immunoglobulin gene rearrangements in lymphocytes and somatic mutations in cancer cells. Allele-specific analysis of gene expression and epigenetic modifications provides a unique approach to studying epigenetic regulation in normal and cancer cells. Extension of Knudson's two-hits theory to include epigenetic alteration as a means to inactivate tumor suppressor genes provides better understanding of how genetic mutations and epigenetic alterations jointly contribute to cancer development. High-throughput technology has greatly accelerated cancer discovery. Large initiatives such as TCGA have shown that epigenetic components are frequent targets of mutations in cancer and these discoveries provide new insights into understanding cancer etiology and generate new opportunities for cancer therapeutics.