19 results on '"Yiyu Dong"'
Search Results
2. ΔNp63 Inhibits Oxidative Stress-Induced Cell Death, Including Ferroptosis, and Cooperates with the BCL-2 Family to Promote Clonogenic Survival
- Author
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Gary X. Wang, Ho-Chou Tu, Yiyu Dong, Anders Jacobsen Skanderup, Yufeng Wang, Shugaku Takeda, Yogesh Tengarai Ganesan, Song Han, Han Liu, James J. Hsieh, and Emily H. Cheng
- Subjects
Biology (General) ,QH301-705.5 - Abstract
Summary: The BCL-2 family proteins are central regulators of apoptosis. However, cells deficient for BAX and BAK or overexpressing BCL-2 still succumb to oxidative stress upon DNA damage or matrix detachment. Here, we show that ΔNp63α overexpression protects cells from oxidative stress induced by oxidants, DNA damage, anoikis, or ferroptosis-inducing agents. Conversely, ΔNp63α deficiency increases oxidative stress. Mechanistically, ΔNp63α orchestrates redox homeostasis through transcriptional control of glutathione biogenesis, utilization, and regeneration. Analysis of a lung squamous cell carcinoma dataset from The Cancer Genome Atlas (TCGA) reveals that TP63 amplification/overexpression upregulates the glutathione metabolism pathway in primary human tumors. Strikingly, overexpression of ΔNp63α promotes clonogenic survival of p53−/−Bax−/−Bak−/− cells against DNA damage. Furthermore, co-expression of BCL-2 and ΔNp63α confers clonogenic survival against matrix detachment, disrupts the luminal clearance of mammary acini, and promotes cancer metastasis. Our findings highlight the need for a simultaneous blockade of apoptosis and oxidative stress to promote long-term cellular well-being. : Apoptosis-defective cells remain vulnerable to oxidative stress, which limits long-term survival. Wang et al. identify ΔNp63α as a central regulator of redox homeostasis through transcriptional control of a tightly coupled glutathione metabolic circuit. ΔNp63α alleviates oxidative stress and cooperates with the BCL-2 family to promote both long-term cellular well-being and cancer metastasis. Keywords: oxidative stress, ROS, apoptosis, necrosis, programmed necrotic death, TP63, BCL-2, ferroptosis, redox, glutathione metabolism
- Published
- 2017
- Full Text
- View/download PDF
3. Targeting the differential addiction to anti-apoptotic BCL-2 family for cancer therapy
- Author
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Akane Inoue-Yamauchi, Paul S. Jeng, Kwanghee Kim, Hui-Chen Chen, Song Han, Yogesh Tengarai Ganesan, Kota Ishizawa, Sylvia Jebiwott, Yiyu Dong, Maria C. Pietanza, Matthew D. Hellmann, Mark G. Kris, James J. Hsieh, and Emily H. Cheng
- Subjects
Science - Abstract
Small cell lung cancer cells (SCLC) are differentially sensitive to inhibitors of the BCL-2 family. Here the authors analyse the response to BH3 mimetics in SCLC, delineate patterns of expression of apoptotic proteins correlated with differential sensitivities and demonstrate a synergistic anti-tumour activity between ABT-199 and anthracyclines or CDK9 inhibitors.
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- 2017
- Full Text
- View/download PDF
4. Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection
- Author
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Rileen Sinha, Andrew G. Winer, Michael Chevinsky, Christopher Jakubowski, Ying-Bei Chen, Yiyu Dong, Satish K. Tickoo, Victor E. Reuter, Paul Russo, Jonathan A. Coleman, Chris Sander, James J. Hsieh, and A. Ari Hakimi
- Subjects
Science - Abstract
Cell lines are central to cancer research, but knowing which cell lines are the best representative of actual tumours is a major challenge. Here the authors provide a resource assessment of 65 renal cell lines to assist researchers in selecting suitable lines for studying specific renal carcinoma subtypes.
- Published
- 2017
- Full Text
- View/download PDF
5. The SWI/SNF Protein PBRM1 Restrains VHL-Loss-Driven Clear Cell Renal Cell Carcinoma
- Author
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Amrita M. Nargund, Can G. Pham, Yiyu Dong, Patricia I. Wang, Hatice U. Osmangeyoglu, Yuchen Xie, Omer Aras, Song Han, Toshinao Oyama, Shugaku Takeda, Chelsea E. Ray, Zhenghong Dong, Mathieu Berge, A. Ari Hakimi, Sebastien Monette, Carl L. Lekaye, Jason A. Koutcher, Christina S. Leslie, Chad J. Creighton, Nils Weinhold, William Lee, Satish K. Tickoo, Zhong Wang, Emily H. Cheng, and James J. Hsieh
- Subjects
kidney cancer ,ccRCC ,mouse tumor model ,VHL ,PBRM1 ,HIF1 ,STAT3 ,MTOR ,genetics ,epigenetics ,Biology (General) ,QH301-705.5 - Abstract
PBRM1 is the second most commonly mutated gene after VHL in clear cell renal cell carcinoma (ccRCC). However, the biological consequences of PBRM1 mutations for kidney tumorigenesis are unknown. Here, we find that kidney-specific deletion of Vhl and Pbrm1, but not either gene alone, results in bilateral, multifocal, transplantable clear cell kidney cancers. PBRM1 loss amplified the transcriptional outputs of HIF1 and STAT3 incurred by Vhl deficiency. Analysis of mouse and human ccRCC revealed convergence on mTOR activation, representing the third driver event after genetic inactivation of VHL and PBRM1. Our study reports a physiological preclinical ccRCC mouse model that recapitulates somatic mutations in human ccRCC and provides mechanistic and therapeutic insights into PBRM1 mutated subtypes of human ccRCC.
- Published
- 2017
- Full Text
- View/download PDF
6. Abnormal oxidative metabolism in a quiet genomic background underlies clear cell papillary renal cell carcinoma
- Author
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Jianing Xu, Ed Reznik, Ho-Joon Lee, Gunes Gundem, Philip Jonsson, Judy Sarungbam, Anna Bialik, Francisco Sanchez-Vega, Chad J Creighton, Jake Hoekstra, Li Zhang, Peter Sajjakulnukit, Daniel Kremer, Zachary Tolstyka, Jozefina Casuscelli, Steve Stirdivant, Jie Tang, Nikolaus Schultz, Paul Jeng, Yiyu Dong, Wenjing Su, Emily H Cheng, Paul Russo, Jonathan A Coleman, Elli Papaemmanuil, Ying-Bei Chen, Victor E Reuter, Chris Sander, Scott R Kennedy, James J Hsieh, Costas A Lyssiotis, Satish K Tickoo, and A Ari Hakimi
- Subjects
kidney cancer ,genomics ,metabolomics ,mitochondrial DNA ,sorbitol ,Medicine ,Science ,Biology (General) ,QH301-705.5 - Abstract
While genomic sequencing routinely identifies oncogenic alterations for the majority of cancers, many tumors harbor no discernable driver lesion. Here, we describe the exceptional molecular phenotype of a genomically quiet kidney tumor, clear cell papillary renal cell carcinoma (CCPAP). In spite of a largely wild-type nuclear genome, CCPAP tumors exhibit severe depletion of mitochondrial DNA (mtDNA) and RNA and high levels of oxidative stress, reflecting a shift away from respiratory metabolism. Moreover, CCPAP tumors exhibit a distinct metabolic phenotype uniquely characterized by accumulation of the sugar alcohol sorbitol. Immunohistochemical staining of primary CCPAP tumor specimens recapitulates both the depletion of mtDNA-encoded proteins and a lipid-depleted metabolic phenotype, suggesting that the cytoplasmic clarity in CCPAP is primarily related to the presence of glycogen. These results argue for non-genetic profiling as a tool for the study of cancers of unknown driver.
- Published
- 2019
- Full Text
- View/download PDF
7. Molecular analysis of aggressive renal cell carcinoma with unclassified histology reveals distinct subsets
- Author
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Ying-Bei Chen, Jianing Xu, Anders Jacobsen Skanderup, Yiyu Dong, A. Rose Brannon, Lu Wang, Helen H. Won, Patricia I. Wang, Gouri J. Nanjangud, Achim A. Jungbluth, Wei Li, Virginia Ojeda, A. Ari Hakimi, Martin H. Voss, Nikolaus Schultz, Robert J. Motzer, Paul Russo, Emily H. Cheng, Filippo G. Giancotti, William Lee, Michael F. Berger, Satish K. Tickoo, Victor E. Reuter, and James J. Hsieh
- Subjects
Science - Abstract
A subset of renal cell carcinomas have uncertain histology and are aggressive in nature. Here, the authors examine this group of unclassified renal cancers using genomics techniques and identify further subclasses of the tumours that have differing prognoses.
- Published
- 2016
- Full Text
- View/download PDF
8. Mitonuclear genotype remodels the metabolic and microenvironmental landscape of Hürthle cell carcinoma
- Author
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Ian Ganly, Eric Minwei Liu, Fengshen Kuo, Vladimir Makarov, Yiyu Dong, Jinsung Park, Yongxing Gong, Alexander N. Gorelick, Jeffrey A Knauf, Elisa Benedetti, Jacqueline Tait-Mulder, Luc G.T. Morris, James A. Fagin, Andrew M Intlekofer, Jan Krumsiek, Payam A. Gammage, Ronald Ghossein, Bin Xu, Timothy A. Chan, and Ed Reznik
- Subjects
Carcinoma, Hepatocellular ,Oxyphil Cells ,Multidisciplinary ,Genotype ,Liver Neoplasms ,Mutation ,Tumor Microenvironment ,Humans ,Thyroid Neoplasms ,DNA, Mitochondrial - Abstract
Hürthle cell carcinomas (HCCs) display two exceptional genotypes: near-homoplasmic mutation of mitochondrial DNA (mtDNA) and genome-wide loss of heterozygosity (gLOH). To understand the phenotypic consequences of these genetic alterations, we analyzed genomic, metabolomic, and immunophenotypic data of HCC and other thyroid cancers. Both mtDNA mutations and profound depletion of citrate pools are common in HCC and other thyroid malignancies, suggesting that thyroid cancers are broadly equipped to survive tricarboxylic acid cycle impairment, whereas metabolites in the reduced form of NADH-dependent lysine degradation pathway were elevated exclusively in HCC. The presence of gLOH was not associated with metabolic phenotypes but rather with reduced immune infiltration, indicating that gLOH confers a selective advantage partially through immunosuppression. Unsupervised multimodal clustering revealed four clusters of HCC with distinct clinical, metabolomic, and microenvironmental phenotypes but overlapping genotypes. These findings chart the metabolic and microenvironmental landscape of HCC and shed light on the interaction between genotype, metabolism, and the microenvironment in cancer.
- Published
- 2022
9. Targeting the mTOR Pathway in Hurthle Cell Carcinoma Results in Potent Anti-Tumor Activity
- Author
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Bin Xu, Fengshen Kuo, Eric J. Sherman, James A. Fagin, Yongxing Gong, Ian Ganly, Timothy A. Chan, Omer Aras, Yiyu Dong, HuiYong Zhao, Ed Reznik, Ronald Ghossein, Vladimir Makarov, Rui Qu, and Gouri Nanjangud
- Subjects
Male ,Cancer Research ,Cell ,Mice, SCID ,Article ,Mice ,Downregulation and upregulation ,Cell Line, Tumor ,Neoplasms ,medicine ,Adenoma, Oxyphilic ,Animals ,Humans ,Thyroid Neoplasms ,Anaplastic thyroid cancer ,Thyroid cancer ,PI3K/AKT/mTOR pathway ,business.industry ,TOR Serine-Threonine Kinases ,HCCS ,medicine.disease ,Blockade ,Disease Models, Animal ,medicine.anatomical_structure ,Oncology ,Cancer research ,business ,Cyclin A2 - Abstract
Hurthle cell carcinomas (HCCs) are refractory to radioactive iodine and unresponsive to chemotherapeutic agents, with a fatality rate that is the highest among all types of thyroid cancer after anaplastic thyroid cancer. Our previous study on the genomic landscape of HCCs identified a high incidence of disruptions of mTOR pathway effectors. Here, we report a detailed analysis of mTOR signaling in cell line and patient-derived xenograft mouse models of HCCs. We show that mTOR signaling is upregulated and that targeting mTOR signaling using mTOR inhibitors suppresses tumor growth in primary tumors and distant metastasis. Mechanistically, ablation of mTOR signaling impaired the expression of p-S6 and cyclin A2, resulting in the decrease of the S phase and blocking of cancer cell proliferation. Strikingly, mTOR inhibitor treatment significantly reduced lung metastatic lesions, with the decreased expression of Snail in xenograft tumors. Our data demonstrate that mTOR pathway blockade represents a novel treatment strategy for HCC.
- Published
- 2021
10. Abnormal oxidative metabolism in a quiet genomic background underlies clear cell papillary renal cell carcinoma
- Author
-
Yiyu Dong, Nikolaus Schultz, Ying-Bei Chen, Jonathan A. Coleman, Jianing Xu, Jake G. Hoekstra, Emily H. Cheng, Chris Sander, Li Zhang, Elli Papaemmanuil, James J. Hsieh, Jozefina Casuscelli, Daniel M. Kremer, Eduard Reznik, Ho-Joon Lee, Steve Stirdivant, Francisco Sanchez-Vega, Wenjing Su, Paul S Jeng, A. Ari Hakimi, Chad J. Creighton, Anna Bialik, Scott R. Kennedy, Victor E. Reuter, Judy Sarungbam, Peter Sajjakulnukit, Satish K. Tickoo, Philip Jonsson, Jie Tang, Costas A. Lyssiotis, Zachary P. Tolstyka, Paul Russo, and Gunes Gundem
- Subjects
0301 basic medicine ,Mitochondrial DNA ,QH301-705.5 ,Science ,Cell Respiration ,mitochondrial DNA ,Biology ,medicine.disease_cause ,General Biochemistry, Genetics and Molecular Biology ,Lesion ,03 medical and health sciences ,0302 clinical medicine ,medicine ,genomics ,sorbitol ,Humans ,Biology (General) ,Carcinoma, Renal Cell ,General Immunology and Microbiology ,Histocytochemistry ,General Neuroscience ,RNA ,kidney cancer ,General Medicine ,Clear cell papillary renal cell carcinoma ,medicine.disease ,Immunohistochemistry ,metabolomics ,Aerobiosis ,Kidney Neoplasms ,3. Good health ,030104 developmental biology ,Cytoplasm ,030220 oncology & carcinogenesis ,Cancer research ,Medicine ,medicine.symptom ,Kidney cancer ,Oxidation-Reduction ,Oxidative stress ,Metabolic Networks and Pathways - Abstract
While genomic sequencing routinely identifies oncogenic alterations for the majority of cancers, many tumors harbor no discernable driver lesion. Here, we describe the exceptional molecular phenotype of a genomically quiet kidney tumor, clear cell papillary renal cell carcinoma (CCPAP). In spite of a largely wild-type nuclear genome, CCPAP tumors exhibit severe depletion of mitochondrial DNA (mtDNA) and RNA and high levels of oxidative stress, reflecting a shift away from respiratory metabolism. Moreover, CCPAP tumors exhibit a distinct metabolic phenotype uniquely characterized by accumulation of the sugar alcohol sorbitol. Immunohistochemical staining of primary CCPAP tumor specimens recapitulates both the depletion of mtDNA-encoded proteins and a lipid-depleted metabolic phenotype, suggesting that the cytoplasmic clarity in CCPAP is primarily related to the presence of glycogen. These results argue for non-genetic profiling as a tool for the study of cancers of unknown driver.
- Published
- 2019
11. Molecular analysis of aggressive renal cell carcinoma with unclassified histology reveals distinct subsets
- Author
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Michael F. Berger, Satish K. Tickoo, Anders Jacobsen Skanderup, Filippo G. Giancotti, Paul Russo, Helen Won, Nikolaus Schultz, Jianing Xu, Lu Wang, Yiyu Dong, Gouri Nanjangud, A. Rose Brannon, A. Ari Hakimi, Virginia Ojeda, Wei Li, William Lee, Achim A. Jungbluth, Patricia Wang, James J. Hsieh, Ying-Bei Chen, Emily H. Cheng, Victor E. Reuter, Robert J. Motzer, and Martin H. Voss
- Subjects
0301 basic medicine ,Neurofibromatosis 2 ,Somatic cell ,Science ,General Physics and Astronomy ,Biology ,urologic and male genital diseases ,Polymorphism, Single Nucleotide ,General Biochemistry, Genetics and Molecular Biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,SETD2 ,Renal cell carcinoma ,Cell Line, Tumor ,medicine ,PTEN ,Humans ,Carcinoma, Renal Cell ,PI3K/AKT/mTOR pathway ,In Situ Hybridization, Fluorescence ,BAP1 ,Multidisciplinary ,medicine.diagnostic_test ,TOR Serine-Threonine Kinases ,Tumor Suppressor Proteins ,General Chemistry ,Histone-Lysine N-Methyltransferase ,medicine.disease ,Kidney Neoplasms ,3. Good health ,Neoplasm Proteins ,030104 developmental biology ,HEK293 Cells ,030220 oncology & carcinogenesis ,Immunology ,biology.protein ,Cancer research ,Immunohistochemistry ,Ubiquitin Thiolesterase ,Fluorescence in situ hybridization ,DNA Damage ,Signal Transduction - Abstract
Renal cell carcinomas with unclassified histology (uRCC) constitute a significant portion of aggressive non-clear cell renal cell carcinomas that have no standard therapy. The oncogenic drivers in these tumours are unknown. Here we perform a molecular analysis of 62 high-grade primary uRCC, incorporating targeted cancer gene sequencing, RNA sequencing, single-nucleotide polymorphism array, fluorescence in situ hybridization, immunohistochemistry and cell-based assays. We identify recurrent somatic mutations in 29 genes, including NF2 (18%), SETD2 (18%), BAP1 (13%), KMT2C (10%) and MTOR (8%). Integrated analysis reveals a subset of 26% uRCC characterized by NF2 loss, dysregulated Hippo–YAP pathway and worse survival, whereas 21% uRCC with mutations of MTOR, TSC1, TSC2 or PTEN and hyperactive mTORC1 signalling are associated with better clinical outcome. FH deficiency (6%), chromatin/DNA damage regulator mutations (21%) and ALK translocation (2%) distinguish additional cases. Altogether, this study reveals distinct molecular subsets for 76% of our uRCC cohort, which could have diagnostic and therapeutic implications., A subset of renal cell carcinomas have uncertain histology and are aggressive in nature. Here, the authors examine this group of unclassified renal cancers using genomics techniques and identify further subclasses of the tumours that have differing prognoses.
- Published
- 2016
12. Integrated genomic analysis of Hürthle cell cancer reveals oncogenic drivers, recurrent mitochondrial mutations, and unique chromosomal landscapes
- Author
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Luc G. T. Morris, Yiyu Dong, Ronald Ghossein, Ian Ganly, Kepal N. Patel, Shyamprasad Vasudeva Deraje, Pedro Blecua Carrillo Albornoz, Timothy A. Chan, Nadeem Riaz, Gouri Nanjangud, Martha A. Zeiger, Vladimir Makarov, Stephanie Eng, James A. Fagin, Electron Kebebew, Christopher B. Umbricht, Eric J. Sherman, Promita Bose, Yuri E. Nikiforov, Venkatraman E. Seshan, Ed Reznik, Iñigo Landa, and Fengshen Kuo
- Subjects
0301 basic medicine ,Cancer Research ,Mitochondrial DNA ,DNA Repair ,Loss of Heterozygosity ,Genomics ,Biology ,Haploidy ,DNA, Mitochondrial ,Article ,Loss of heterozygosity ,Transcriptome ,Fusion gene ,03 medical and health sciences ,0302 clinical medicine ,medicine ,Humans ,Thyroid Neoplasms ,Telomerase ,Genetics ,Chromosome Aberrations ,TOR Serine-Threonine Kinases ,Cell Biology ,medicine.disease ,Uniparental disomy ,030104 developmental biology ,Oncology ,030220 oncology & carcinogenesis ,Mutation ,Hurthle cell carcinoma ,Signal transduction ,Signal Transduction - Abstract
The molecular foundations of Hürthle cell carcinoma (HCC) are poorly understood. Here, we describe a comprehensive genomic characterization of 56 primary HCC tumors that span the spectrum of tumor behavior. We elucidate the mutational profile and driver mutations and show that they exhibit a wide range of recurrent mutations. Notably, we report an extremely high number of disruptive mutations to both protein-coding and tRNA-encoding regions of the mitochondrial genome. We reveal unique chromosomal landscapes that involve whole-chromosomal duplications of chromosomes 5 and 7 and widespread loss of heterozygosity arising from haploidization and copy number–neutral uniparental disomy. We also identify fusion genes and disrupted signaling pathways that may drive disease pathogenesis.
- Published
- 2018
13. ΔNp63 Inhibits Oxidative Stress-Induced Cell Death, Including Ferroptosis, and Cooperates with the BCL-2 Family to Promote Clonogenic Survival.
- Author
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Wang, Gary X., Ho-Chou Tu, Yiyu Dong, Skanderup, Anders Jacobsen, Yufeng Wang, Shugaku Takeda, Ganesan, Yogesh Tengarai, Song Han, Han Liu, Hsieh, James J., and Cheng, Emily H.
- Abstract
The BCL-2 family proteins are central regulators of apoptosis. However, cells deficient for BAX and BAK or overexpressing BCL-2 still succumb to oxidative stress upon DNA damage or matrix detachment. Here, we show that ΔNp63α overexpression protects cells from oxidative stress induced by oxidants, DNA damage, anoikis, or ferroptosis-inducing agents. Conversely, ΔNp63α deficiency increases oxidative stress. Mechanistically, ΔNp63α orchestrates redox homeostasis through transcriptional control of glutathione biogenesis, utilization, and regeneration. Analysis of a lung squamous cell carcinoma dataset from The Cancer Genome Atlas (TCGA) reveals that TP63 amplification/overexpression upregulates the glutathione metabolism pathway in primary human tumors. Strikingly, overexpression of ΔNp63α promotes clonogenic survival of p53
-/- Bax-/- Bak-/- cells against DNA damage. Furthermore, co-expression of BCL-2 and ΔNp63α confers clonogenic survival against matrix detachment, disrupts the luminal clearance of mammary acini, and promotes cancer metastasis. Our findings highlight the need for a simultaneous blockade of apoptosis and oxidative stress to promote longterm cellular well-being. [ABSTRACT FROM AUTHOR]- Published
- 2017
- Full Text
- View/download PDF
14. PUMA and BIM Are Required for Oncogene Inactivation-Induced Apoptosis.
- Author
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Bean, Gregory R., Ganesan, Yogesh Tengarai, Yiyu Dong, Shugaku Takeda, Han Liu, Chan, Po M., Yafen Huang, Chodosh, Lewis A., Zambetti, Gerard P., Hsieh, James J.-D., and Cheng, Emily H.-Y.
- Published
- 2013
- Full Text
- View/download PDF
15. Mitonuclear genotype remodels the metabolic and microenvironmental landscape of Hürthle cell carcinoma.
- Author
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Ganly, Ian, Liu, Eric Minwei, Fengshen Kuo, Makarov, Vladimir, Yiyu Dong, Jinsung Park, Yongxing Gong, Gorelick, Alexander N., Knauf, Jeffrey A., Benedetti, Elisa, Tait-Mulder, Jacqueline, Morris, Luc G. T., Fagin, James A., Intlekofer, Andrew M., Krumsiek, Jan, Gammage, Payam A., Ghossein, Ronald, Bin Xu, Chan, Timothy A., and Reznik, Ed
- Subjects
- *
MITOCHONDRIAL DNA , *CITRATES , *FATTY acid synthases , *HYDROPHILIC interaction liquid chromatography , *LABORATORY management - Abstract
The article focuses on Hürthle cell carcinomas (HCCs) display two exceptional genotypes: near-homoplasmic mutation of mitochondrial DNA (mtDNA) and genome-wide loss of heterozygosity (gLOH). It mentions mtDNA mutations and profound depletion of citrate pools are common in HCC and other thyroid malignancies, suggesting that thyroid cancers are broadly equipped to survive tricarboxylic acid cycle impairment.
- Published
- 2022
- Full Text
- View/download PDF
16. Mechanistically distinct cancer-associated mTOR activation clusters predict sensitivity to rapamycin.
- Author
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Jianing Xu, Pham, Can G., Albanese, Steven K., Yiyu Dong, Toshinao Oyama, Chung-Han Lee, Rodrik-Outmezguine, Vanessa, Zhan Yao, Song Han, Chen, David, Parton, Daniel L., Chodera, John D., Rosen, Neal, Cheng, Emily H., Hsieh, James J., Xu, Jianing, Dong, Yiyu, Oyama, Toshinao, Lee, Chung-Han, and Yao, Zhan
- Subjects
- *
RAPAMYCIN , *ALLOSTERIC proteins , *FOCAL adhesion kinase , *TUMOR suppressor proteins , *BREAST cancer treatment , *RENAL cancer treatment , *GENETIC mutation , *PROTEIN metabolism , *RNA metabolism , *ANIMAL experimentation , *ANTINEOPLASTIC antibiotics , *BIOLOGICAL models , *COMPUTER simulation , *DNA , *DYNAMICS , *GENES , *HUMAN genome , *KIDNEY tumors , *MICE , *RENAL cell carcinoma , *RESEARCH funding , *PHARMACODYNAMICS - Abstract
Genomic studies have linked mTORC1 pathway-activating mutations with exceptional response to treatment with allosteric inhibitors of mTORC1 called rapalogs. Rapalogs are approved for selected cancer types, including kidney and breast cancers. Here, we used sequencing data from 22 human kidney cancer cases to identify the activating mechanisms conferred by mTOR mutations observed in human cancers and advance precision therapeutics. mTOR mutations that clustered in focal adhesion kinase targeting domain (FAT) and kinase domains enhanced mTORC1 kinase activity, decreased nutrient reliance, and increased cell size. We identified 3 distinct mechanisms of hyperactivation, including reduced binding to DEP domain-containing MTOR-interacting protein (DEPTOR), resistance to regulatory associated protein of mTOR-mediated (RAPTOR-mediated) suppression, and altered kinase kinetics. Of the 28 mTOR double mutants, activating mutations could be divided into 6 complementation groups, resulting in synergistic Rag- and Ras homolog enriched in brain-independent (RHEB-independent) mTORC1 activation. mTOR mutants were resistant to DNA damage-inducible transcript 1-mediated (REDD1-mediated) inhibition, confirming that activating mutations can bypass the negative feedback pathway formed between HIF1 and mTORC1 in the absence of von Hippel-Lindau (VHL) tumor suppressor expression. Moreover, VHL-deficient cells that expressed activating mTOR mutants grew tumors that were sensitive to rapamycin treatment. These data may explain the high incidence of mTOR mutations observed in clear cell kidney cancer, where VHL loss and HIF activation is pathognomonic. Our study provides mechanistic and therapeutic insights concerning mTOR mutations in human diseases. [ABSTRACT FROM AUTHOR]
- Published
- 2016
- Full Text
- View/download PDF
17. HGF-MET signals via the MLL-ETS2 complex in hepatocellular carcinoma.
- Author
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Shugaku Takeda, Han Liu, Satoru Sasagawa, Yiyu Dong, Trainor, Paul A., Cheng, Emily H., and Hsieh, James J.
- Abstract
HGF signals through its cognate receptor, MET, to orchestrate diverse biological processes, including cell proliferation, cell fate specification, organogenesis, and epithelial-mesenchymal transition. Mixed-lineage leukemia (MLL), an epigenetic regulator, plays critical roles in cell fate, stem cell, and cell cycle decisions. Here, we describe a role for MLL in the HGF-MET signaling pathway. We found a shared phenotype among Mll–/–, Hgf–/–, and Met–/– mice with common cranial nerve XII (CNXII) outgrowth and myoblast migration defects. Phenotypic analysis demonstrated that MLL was required for HGF-induced invasion and metastatic growth of hepatocellular carcinoma cell lines. HGF-MET signaling resulted in the accumulation of ETS2, which interacted with MLL to transactivate MMP1 and MMP3. ChIP assays demonstrated that activation of the HGF-MET pathway resulted in increased occupancy of the MLL-ETS2 complex on MMP1 and MMP3 promoters, where MLL trimethylated histone H3 lysine 4 (H3K4), activating transcription. Our results present an epigenetic link between MLL and the HGF-MET signaling pathway, which may suggest new strategies for therapeutic intervention. [ABSTRACT FROM AUTHOR]
- Published
- 2013
- Full Text
- View/download PDF
18. A Pharmacologic Inhibitor of the Protease Taspase1 Effectively Inhibits Breast and Brain Tumor Growth.
- Author
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Chen, David Y., Yishan Lee, Van Tine, Brian A., Searleman, Adam C., Westergard, Todd D., Han Liu, Ho-Chou Tu, Takeda, Shugaku, Yiyu Dong, Piwnica-Worms, David R., Oh, Kyoung J., Korsmeyer, Stanley J., Hermone, Ann, Gussio, Richard, Shoemaker, Robert H., Cheng, Emily H.-Y., and Hsieh, James J.-D.
- Subjects
- *
ENDOPEPTIDASES , *PEPTIDASE , *APOPTOSIS , *CELL death , *FLUORESCENCE , *BREAST cancer - Abstract
The threonine endopeptidase Taspase1 has a critical role in cancer cell proliferation and apoptosis. In this study, we developed and evaluated small molecule inhibitors of Taspase1 as a new candidate class of therapeutic modalities. Genetic deletion of Taspase1 in the mouse produced no overt deficiencies, suggesting the possibility of a wide therapeutic index for use of Taspase1 inhibitors in cancers. We defined the peptidyl motifs recognized by Taspase1 and conducted a cell-based dual-fluorescent proteolytic screen of the National Cancer Institute diversity library to identify Taspase1 inhibitors (TASPIN). On the basis of secondary and tertiary screens the 4-[(4-arsonophenyl)methyl]phenyl] arsonic acid NSC48300 was determined to be the most specific active compound. Structure-activity relationship studies indicated a crucial role for the arsenic acid moiety in mediating Taspase1 inhibition. Additional fluorescence resonance energy transfer-based kinetic analysis characterized NSC48300 as a reversible, noncompetitive inhibitor of Taspase1 (Ki = 4.22 µmol/L). In the MMTV-neu mouse model of breast cancer and the U251 xenograft model of brain cancer, NSC48300 produced effective tumor growth inhibition. Our results offer an initial preclinical proof-of-concept to develop TASPINs for cancer therapy. [ABSTRACT FROM AUTHOR]
- Published
- 2012
- Full Text
- View/download PDF
19. Mathematical models of tumor growth using Voronoi tessellations in pathology slides of kidney cancer.
- Author
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Saribudak A, Yiyu Dong, Gundry S, Hsieh J, and Uyar MU
- Subjects
- Animals, Cell Nucleus, Humans, Mice, Microscopy, Models, Theoretical, Kidney Neoplasms
- Abstract
The impact of patient-specific spatial distribution features of cell nuclei on tumor growth characteristics was analyzed. Tumor tissues from kidney cancer patients were allowed to grow in mice to apply H&E staining and to measure tumor volume during preclinical phase of our study. Imaging the H&E stained slides under a digital light microscope, the morphological characteristics of nuclei positions were determined. Using artificial intelligence based techniques, Voronoi features were derived from diagrams, where cell nuclei were considered as distinct nodes. By identifying the effect of each Voronoi feature, tumor growth was expressed mathematically. Consistency between the computed growth curves and preclinical measurements indicates that the information obtained from the H&E slides can be used as biomarkers to build personalized mathematical models for tumor growth.
- Published
- 2015
- Full Text
- View/download PDF
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