Publications by authors named "Robert J Penny"

4 Publications

  • Page 1 of 1

Comprehensive Molecular Characterization of Papillary Renal-Cell Carcinoma.

N Engl J Med 2016 Jan 4;374(2):135-45. Epub 2015 Nov 4.

Background: Papillary renal-cell carcinoma, which accounts for 15 to 20% of renal-cell carcinomas, is a heterogeneous disease that consists of various types of renal cancer, including tumors with indolent, multifocal presentation and solitary tumors with an aggressive, highly lethal phenotype. Little is known about the genetic basis of sporadic papillary renal-cell carcinoma, and no effective forms of therapy for advanced disease exist.

Methods: We performed comprehensive molecular characterization of 161 primary papillary renal-cell carcinomas, using whole-exome sequencing, copy-number analysis, messenger RNA and microRNA sequencing, DNA-methylation analysis, and proteomic analysis.

Results: Type 1 and type 2 papillary renal-cell carcinomas were shown to be different types of renal cancer characterized by specific genetic alterations, with type 2 further classified into three individual subgroups on the basis of molecular differences associated with patient survival. Type 1 tumors were associated with MET alterations, whereas type 2 tumors were characterized by CDKN2A silencing, SETD2 mutations, TFE3 fusions, and increased expression of the NRF2-antioxidant response element (ARE) pathway. A CpG island methylator phenotype (CIMP) was observed in a distinct subgroup of type 2 papillary renal-cell carcinomas that was characterized by poor survival and mutation of the gene encoding fumarate hydratase (FH).

Conclusions: Type 1 and type 2 papillary renal-cell carcinomas were shown to be clinically and biologically distinct. Alterations in the MET pathway were associated with type 1, and activation of the NRF2-ARE pathway was associated with type 2; CDKN2A loss and CIMP in type 2 conveyed a poor prognosis. Furthermore, type 2 papillary renal-cell carcinoma consisted of at least three subtypes based on molecular and phenotypic features. (Funded by the National Institutes of Health.).
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http://dx.doi.org/10.1056/NEJMoa1505917DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4775252PMC
January 2016

Evaluation and comparison of two commercially available targeted next-generation sequencing platforms to assist oncology decision making.

Onco Targets Ther 2015 24;8:959-67. Epub 2015 Apr 24.

Cancer Treatment Centers of America, Western Regional Medical Center, Goodyear, AZ, USA.

Background: It is widely acknowledged that there is value in examining cancers for genomic aberrations via next-generation sequencing (NGS). How commercially available NGS platforms compare with each other, and the clinical utility of the reported actionable results, are not well known. During the course of the current study, the Foundation One (F1) test generated data on a combination of somatic mutations, insertion and deletion polymorphisms, chromosomal abnormalities, and deoxyribonucleic acid (DNA) copy number changes at ~250× coverage, while the Paradigm Cancer Diagnostic (PCDx) test generated the same type of data at >5,000× coverage, plus provided messenger RNA (mRNA) expression levels. We sought to compare and evaluate paired formalin-fixed paraffin-embedded tumor tissue using these two platforms.

Methods: Samples from patients with advanced solid tumors were submitted to both the F1 and PCDx vendors for NGS analysis. Turnaround time (TAT) was calculated. Biomarkers were considered clinically actionable if they had a published association with treatment response in humans and were assigned to the following categories: commercially available drug (CA), clinical trial drug (CT), or neither option (hereafter referred to as "None").

Results: The demographics of the 21 unique patient tumor samples included ten men and eleven women, with a median age of 56 years. Due to insufficient archival tissue from the same collection period, in one case, we used samples from different collections. PCDx reported first results faster than F1 in 20 cases. When received at both vendors on the same day, PCDx reported first results for 14 of 15 cases, with a median TAT of 9 days earlier than F1 (P<0.0001). Categorization of CA compared to CT and none significantly favored PCDx (P=0.012).

Conclusion: In the current analysis, commercially available NGS platforms provided clinically relevant actionable targets (CA or CT) in 47%-67% of diverse cancer types. In the samples analyzed, PCDx significantly outperformed F1 in TAT, and had statistically significant higher clinically relevant actionable targets categorized as CA.
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http://dx.doi.org/10.2147/OTT.S81995DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4423502PMC
May 2015

Twenty-first century pathology sign-out.

Clin Lab Med 2012 Dec;32(4):639-50

Department of Pathology, Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI 48109-0940, USA.

It is difficult to imagine a field that is changing as rapidly as pathology. A convergence of factors including not only scientific and technological advances but also changes in business models is transforming the field, particularly in the area of cancer diagnostics. The authors examine 8 themes, or "forces of change," in pathology and speculate on how these will affect pathology sign-out and the future role of pathologists in patient care.
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http://dx.doi.org/10.1016/j.cll.2012.07.002DOI Listing
December 2012

Molecular characterization of interdigitating dendritic cell sarcoma.

Rare Tumors 2010 Sep 30;2(3):e50. Epub 2010 Sep 30.

Virginia G. Piper Cancer Center at Scottsdale Healthcare, Scottsdale, USA.

Interdigitating dendritic cell sarcoma is an extremely rare cancer that lacks a standard treatment approach. We report on a patient who was surgically resected and remains disease- free. The tumor was assessed for druggable targets using immunohistochemical staining to identify potential agents that could be used in the event of disease recurrence.
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http://dx.doi.org/10.4081/rt.2010.e50DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2994531PMC
September 2010