An Integrated Metabolic Atlas of Clear Cell Renal Cell Carcinoma
A. Ari Hakimi,Ed Reznik,Chung-Han Lee,Chad J. Creighton,A. Rose Brannon,Augustin Luna,B. Arman Aksoy,Eric Minwei Liu,Ronglai Shen,William Lee,Yang Chen,Steve Stirdivant,Paul Russo,Ying-Bei Chen,Satish K. Tickoo,Victor E. Reuter,Emily H. Cheng,Chris Sander,James J. Hsieh,James J. Hsieh +19 more
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TLDR
An analytic pipeline and visualization tool (metabolograms) is developed to bridge the gap between TCGA transcriptomic profiling and metabolomic data, which enables to assemble an integrated pathway-level metabolic atlas and to demonstrate discordance between transcriptome and metabolome.About:
This article is published in Cancer Cell.The article was published on 2016-01-11 and is currently open access. It has received 477 citations till now. The article focuses on the topics: Clear cell renal cell carcinoma & Metabolome.read more
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Pan-cancer Immunogenomic Analyses Reveal Genotype-Immunophenotype Relationships and Predictors of Response to Checkpoint Blockade
Pornpimol Charoentong,Francesca Finotello,Mihaela Angelova,Clemens Mayer,Mirjana Efremova,Dietmar Rieder,Hubert Hackl,Zlatko Trajanoski +7 more
TL;DR: The immunophenoscore was a superior predictor of response to anti-cytotoxic T lymphocyte antigen-4 (CTLA-4) and anti-programmed cell death protein 1 (anti-PD-1) antibodies in two independent validation cohorts and may help inform cancer immunotherapy and facilitate the development of precision immuno-oncology.
Journal ArticleDOI
Renal cell carcinoma.
James J. Hsieh,Mark P. Purdue,Sabina Signoretti,Charles Swanton,Laurence Albiges,Manuela Schmidinger,Daniel Y. Heng,James Larkin,Vincenzo Ficarra +8 more
TL;DR: An overview of the biology of RCC, with a focus on ccRCC, as well as updates to complement the current clinical guidelines and an outline of potential future directions for RCC research and therapy are provided.
Journal ArticleDOI
Understanding the Intersections between Metabolism and Cancer Biology
TL;DR: In this paper, the authors define pathways that are limiting for cancer progression and understand the context specificity of metabolic preferences and liabilities in malignant cells, which can guide the more effective targeting of metabolism to help patients.
Journal ArticleDOI
Glutathione metabolism in cancer progression and treatment resistance.
Ankita Bansal,M. Celeste Simon +1 more
TL;DR: Recent studies that focus on deciphering the role of GSH in tumor initiation and progression as well as mechanisms underlying how GSH imparts treatment resistance to growing cancers are discussed.
Posted ContentDOI
Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade
Pornpimol Charoentong,Francesca Finotello,Mihaela Angelova,Clemens Mayer,Mirjana Efremova,Dietmar Rieder,Hubert Hackl,Zlatko Trajanoski +7 more
TL;DR: Cellular characterization of the immune infiltrates revealed a role of cancer-germline antigens in spontaneous immunity and showed that tumor genotypes determine immunophenotypes and tumor escape mechanisms and a scoring scheme for the quantification termed immunophenoscore was developed.
References
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Understanding the Warburg Effect: The Metabolic Requirements of Cell Proliferation
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Learning the parts of objects by non-negative matrix factorization
TL;DR: An algorithm for non-negative matrix factorization is demonstrated that is able to learn parts of faces and semantic features of text and is in contrast to other methods that learn holistic, not parts-based, representations.
Learning parts of objects by non-negative matrix factorization
TL;DR: In this article, non-negative matrix factorization is used to learn parts of faces and semantic features of text, which is in contrast to principal components analysis and vector quantization that learn holistic, not parts-based, representations.
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