Literature DB >> 26787754

Alternate Metabolic Programs Define Regional Variation of Relevant Biological Features in Renal Cell Carcinoma Progression.

Samira A Brooks1, Amir H Khandani2, Julia R Fielding3, Weili Lin3, Tiffany Sills4, Yueh Lee3, Alexandra Arreola5, Mathew I Milowsky6, Eric M Wallen6, Michael E Woods3, Angie B Smith4, Mathew E Nielsen4, Joel S Parker7, David S Lalush8, W Kimryn Rathmell9.   

Abstract

PURPOSE: Clear cell renal cell carcinoma (ccRCC) has recently been redefined as a highly heterogeneous disease. In addition to genetic heterogeneity, the tumor displays risk variability for developing metastatic disease, therefore underscoring the urgent need for tissue-based prognostic strategies applicable to the clinical setting. We have recently employed the novel PET/magnetic resonance (MR) image modality to enrich our understanding of how tumor heterogeneity can relate to gene expression and tumor biology to assist in defining individualized treatment plans. EXPERIMENTAL
DESIGN: ccRCC patients underwent PET/MR imaging, and these images subsequently used to identify areas of varied intensity for sampling. Samples from 8 patients were subjected to histologic, immunohistochemical, and microarray analysis.
RESULTS: Tumor subsamples displayed a range of heterogeneity for common features of hypoxia-inducible factor expression and microvessel density, as well as for features closely linked to metabolic processes, such as GLUT1 and FBP1. In addition, gene signatures linked with disease risk (ccA and ccB) also demonstrated variable heterogeneity, with most tumors displaying a dominant panel of features across the sampled regions. Intriguingly, the ccA- and ccB-classified samples corresponded with metabolic features and functional imaging levels. These correlations further linked a variety of metabolic pathways (i.e., the pentose phosphate and mTOR pathways) with the more aggressive, and glucose avid ccB subtype.
CONCLUSIONS: Higher tumor dependency on exogenous glucose accompanies the development of features associated with the poor risk ccB subgroup. Linking these panels of features may provide the opportunity to create functional maps to enable enhanced visualization of the heterogeneous biologic processes of an individual's disease. Clin Cancer Res; 22(12); 2950-9. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 26787754      PMCID: PMC4911278          DOI: 10.1158/1078-0432.CCR-15-2115

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  37 in total

1.  The somatic genomic landscape of chromophobe renal cell carcinoma.

Authors:  Caleb F Davis; Christopher J Ricketts; Min Wang; Lixing Yang; Andrew D Cherniack; Hui Shen; Christian Buhay; Hyojin Kang; Sang Cheol Kim; Catherine C Fahey; Kathryn E Hacker; Gyan Bhanot; Dmitry A Gordenin; Andy Chu; Preethi H Gunaratne; Michael Biehl; Sahil Seth; Benny A Kaipparettu; Christopher A Bristow; Lawrence A Donehower; Eric M Wallen; Angela B Smith; Satish K Tickoo; Pheroze Tamboli; Victor Reuter; Laura S Schmidt; James J Hsieh; Toni K Choueiri; A Ari Hakimi; Lynda Chin; Matthew Meyerson; Raju Kucherlapati; Woong-Yang Park; A Gordon Robertson; Peter W Laird; Elizabeth P Henske; David J Kwiatkowski; Peter J Park; Margaret Morgan; Brian Shuch; Donna Muzny; David A Wheeler; W Marston Linehan; Richard A Gibbs; W Kimryn Rathmell; Chad J Creighton
Journal:  Cancer Cell       Date:  2014-08-21       Impact factor: 31.743

2.  Identification of membrane type-1 matrix metalloproteinase as a target of hypoxia-inducible factor-2 alpha in von Hippel-Lindau renal cell carcinoma.

Authors:  Brenda L Petrella; Jouko Lohi; Constance E Brinckerhoff
Journal:  Oncogene       Date:  2005-02-03       Impact factor: 9.867

3.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

4.  Primary renal cell carcinoma: relationship between 18F-FDG uptake and response to neoadjuvant sorafenib.

Authors:  Amir H Khandani; C Lance Cowey; Dominic T Moore; Harsh Gohil; Wendy Kimryn Rathmell
Journal:  Nucl Med Commun       Date:  2012-09       Impact factor: 1.690

Review 5.  Rationale for percutaneous biopsy and histologic characterisation of renal tumours.

Authors:  Alessandro Volpe; Antonio Finelli; Inderbir S Gill; Michael A S Jewett; Guido Martignoni; Thomas J Polascik; Mesut Remzi; Robert G Uzzo
Journal:  Eur Urol       Date:  2012-05-12       Impact factor: 20.096

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

7.  Hypoxia promotes invasive growth by transcriptional activation of the met protooncogene.

Authors:  Selma Pennacchietti; Paolo Michieli; Maria Galluzzo; Massimiliano Mazzone; Silvia Giordano; Paolo M Comoglio
Journal:  Cancer Cell       Date:  2003-04       Impact factor: 31.743

8.  Systematic evaluation of the prognostic impact and intratumour heterogeneity of clear cell renal cell carcinoma biomarkers.

Authors:  Sakshi Gulati; Pierre Martinez; Tejal Joshi; Nicolai Juul Birkbak; Claudio R Santos; Andrew J Rowan; Lisa Pickering; Martin Gore; James Larkin; Zoltan Szallasi; Paul A Bates; Charles Swanton; Marco Gerlinger
Journal:  Eur Urol       Date:  2014-07-19       Impact factor: 20.096

9.  FDG-PET as a predictive biomarker for therapy with everolimus in metastatic renal cell cancer.

Authors:  James L Chen; Daniel E Appelbaum; Masha Kocherginsky; Charles L Cowey; Wendy Kimryn Rathmell; David F McDermott; Walter M Stadler
Journal:  Cancer Med       Date:  2013-07-10       Impact factor: 4.452

10.  The impact of genetic heterogeneity on biomarker development in kidney cancer assessed by multiregional sampling.

Authors:  Alexander Sankin; Abraham A Hakimi; Nina Mikkilineni; Irina Ostrovnaya; Mikhail T Silk; Yupu Liang; Roy Mano; Michael Chevinsky; Robert J Motzer; Stephen B Solomon; Emily H Cheng; Jeremy C Durack; Jonathan A Coleman; Paul Russo; James J Hsieh
Journal:  Cancer Med       Date:  2014-08-14       Impact factor: 4.452

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  14 in total

1.  Integrative radiomics expression predicts molecular subtypes of primary clear cell renal cell carcinoma.

Authors:  Q Yin; S-C Hung; W K Rathmell; L Shen; L Wang; W Lin; J R Fielding; A H Khandani; M E Woods; M I Milowsky; S A Brooks; E M Wallen; D Shen
Journal:  Clin Radiol       Date:  2018-05-23       Impact factor: 2.350

Review 2.  Renal cancer subtypes: Should we be lumping or splitting for therapeutic decision making?

Authors:  Scott M Haake; W Kimryn Rathmell
Journal:  Cancer       Date:  2016-11-14       Impact factor: 6.860

Review 3.  Renal cell carcinoma: new insights and challenges for a clinician scientist.

Authors:  Roman Shingarev; Edgar A Jaimes
Journal:  Am J Physiol Renal Physiol       Date:  2017-04-05

Review 4.  Pathological Bases and Clinical Impact of Intratumor Heterogeneity in Clear Cell Renal Cell Carcinoma.

Authors:  José I López; Javier C Angulo
Journal:  Curr Urol Rep       Date:  2018-01-27       Impact factor: 3.092

Review 5.  Insights into the Genetic Basis of the Renal Cell Carcinomas from The Cancer Genome Atlas.

Authors:  Scott M Haake; Jamie D Weyandt; W Kimryn Rathmell
Journal:  Mol Cancer Res       Date:  2016-06-21       Impact factor: 5.852

6.  The Heterogeneity Metabolism of Renal Cell Carcinomas.

Authors:  Mohammadreza Zarisfi; Tu Nguyen; Jessie R Nedrow; Anne Le
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

7.  Sunitinib and Axitinib increase secretion and glycolytic activity of small extracellular vesicles in renal cell carcinoma.

Authors:  Aaron R Lim; Benjamin G Vincent; Alissa M Weaver; W Kimryn Rathmell
Journal:  Cancer Gene Ther       Date:  2021-06-04       Impact factor: 5.854

8.  Untangling ccRCC prognosis with SLINKY.

Authors:  Bradley I Reinfeld; W Kimryn Rathmell
Journal:  Oncotarget       Date:  2017-03-21

9.  Associations between Tumor Vascularity, Vascular Endothelial Growth Factor Expression and PET/MRI Radiomic Signatures in Primary Clear-Cell-Renal-Cell-Carcinoma: Proof-of-Concept Study.

Authors:  Qingbo Yin; Sheng-Che Hung; Li Wang; Weili Lin; Julia R Fielding; W Kimryn Rathmell; Amir H Khandani; Michael E Woods; Matthew I Milowsky; Samira A Brooks; Eric M Wallen; Dinggang Shen
Journal:  Sci Rep       Date:  2017-03-03       Impact factor: 4.379

Review 10.  Metabolic Pathways in Kidney Cancer: Current Therapies and Future Directions.

Authors:  W Kimryn Rathmell; Jeffrey C Rathmell; W Marston Linehan
Journal:  J Clin Oncol       Date:  2018-10-29       Impact factor: 44.544

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