Plasma cell-free DNA variant analysis compared with methylated DNA analysis in renal cell carcinoma

2020 ◽  
Vol 22 (8) ◽  
pp. 1366-1373 ◽  
Author(s):  
Kathryn Lasseter ◽  
Amin H. Nassar ◽  
Lana Hamieh ◽  
Jacob E. Berchuck ◽  
Pier Vitale Nuzzo ◽  
...  
2017 ◽  
Vol 35 (6_suppl) ◽  
pp. 521-521 ◽  
Author(s):  
Dean Laganosky ◽  
Charles Lorentz ◽  
Usama Al-Qassab ◽  
Kenneth Ogan ◽  
Viraj A. Master ◽  
...  

521 Background: Circulating tumor DNA (ctDNA) displays characteristics of an ideal serum biomarker. We sought to develop whole-exome sequencing of ctDNA to interrogate commonly mutated genes in renal cell carcinoma (RCC) for early tumor detection through a single blood sample. Methods: Patients with solid renal tumors and healthy controls provided 40 mL blood from which purified plasma cell-free DNA was prepared. A multiplex bar-coded polymerase chain reaction amplification using the Fluidigm Access Array was performed to prepare sequencing libraries for the Illumina HiSeq platform. Galaxy workflow was then utilized to identify mutations within the plasma cell-free DNA samples and results were compared to buffy coat sequencing containing control DNA for each individual’s sample. The following genes were queried: VHL, PBRM1, SETD2, BAP1, KDM5C, KIT, NFE2L2, MET, TP53, CDKN2A, FGFR3, PIK3CA, BRAF, and MUC4. Criteria for calling mutations included adequate frequency by overall count and percentage of reads, identification in all overlapping sequences and presence of buffy coat-derived control DNA for comparison with <0.5% containing the mutation. Results: Of the preoperative RCC patients, 20/30 (67%) had detectable somatic mutations compared to 2/48 (4.2%) controls. These included nonsynonymous, frameshift, stop-gain, and splice site mutations. Mutations were detected in RCC patients with both early and advanced stage disease, including a patient with a 1.1 x 0.7 x 0.5 cm tumor. Mutations were seen in all genes assayed. Conclusions: The majority of RCC patients of various stages and histology had ctDNA detected in a single preoperative blood sample. Comparatively, only two of the control patients sampled were ctDNA positive. Controls will be followed to identify the possible sources of ctDNA. Developing such non-invasive methods for RCC detection has the potential to enhance both diagnosis and surveillance of renal malignancy, even in the setting of small renal masses.


2018 ◽  
Author(s):  
Selena Lin ◽  
Jennifer A. Linehan ◽  
Ruby Kuang ◽  
Selvi Guharaj ◽  
Timothy G. Wilson ◽  
...  

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 569-569
Author(s):  
Marco Adelmo James Iafolla ◽  
Sarah Louise Picardo ◽  
Kyaw Lwin Aung ◽  
Aaron Richard Hansen

569 Background: No validated biomarkers exist to help guide prognosis of RCC patients. This study seeks to determine the current state of published prognostic RCC biomarker manuscripts and evaluate their quality using the REMARK criteria. Methods: The phrase “(renal cell carcinoma OR renal cancer OR kidney cancer OR kidney carcinoma) AND circulating AND (biomarkers OR cell free DNA OR tumor DNA OR methylated cell free DNA OR methylated tumor DNA)” was searched in Embase, Medline and PubMed during March 2018. One author (MI) selected all relevant manuscripts from the search results, and two authors (MI and SP) independently scored all relevant manuscripts using the REMARK guidelines (maximum 20 points comprised of 20 items subdivided into 48 criteria). Results: The search identified 525 publications: 73 were valid, 436 were rejected, and 26 were uncertain of their relevance. Amongst the valid publications, 33 were manuscripts of primary research (remainder: 26 review papers, 14 abstracts): manuscripts evaluating ≥ 2 biomarkers (n = 8) and novel biomarkers not published elsewhere (n = 7) comprised the majority. The median REMARK score was 10.6 (range 6.4-14.2). All manuscripts stated their marker, study objectives and method of case selection. The lowest scoring criteria were lack of: description of time between storage of blood/serum and marker assay (n = 2); flow or study profile diagram (n = 2); blinding of the person making the marker assessment to clinical outcomes (n = 3); and pre-specified hypotheses (n = 3). In total, only 8 studies reported a hazard or odds ratio. Using Pearson’s correlation, there was no association with either year of publication (median 2014; range 2004-2018; r2 = 0.14; p = 0.44) or impact factor (median 5.168; range 1.2-26.303; r2 = 0.24; p = 0.17) with REMARK score. Conclusions: Despite several published manuscripts on RCC prognostic biomarkers, most poorly adhere to the REMARK guidelines; this may be the cause for the paucity of a validated RCC biomarker to help supplement or supplant current clinical prognostic criteria. Better designed studies and appropriate reporting of methods, results and interpretation are required to address this urgent unmet need.


2020 ◽  
Vol 26 (7) ◽  
pp. 1041-1043 ◽  
Author(s):  
Pier Vitale Nuzzo ◽  
Jacob E. Berchuck ◽  
Keegan Korthauer ◽  
Sandor Spisak ◽  
Amin H. Nassar ◽  
...  

2019 ◽  
Vol 37 (7_suppl) ◽  
pp. 655-655
Author(s):  
Lana Hamieh ◽  
Amin Nassar ◽  
Kathryn Lasseter ◽  
Barbara Ogorek ◽  
Rana R. McKay ◽  
...  

655 Background: Massively parallel sequencing (MPS) of circulating-free DNA (cfDNA) is seeing increasing use in multiple cancer types. There is little data on its use in metastatic renal cell carcinoma (mRCC) as a tool for prognostication and disease monitoring. Methods: cfDNA was extracted from 63 blood samples of 40 metastatic RCC patients (pts). Serial samples were obtained in 12 of 40 (30%) pts (median = 1, range = 1-7). cfDNA was used for targeted MPS using a custom bait-set of 27 genes commonly mutated in RCC. Variants observed in at least 3 reads, in both read directions, and at an allele frequency (AF) of ≥0.5% for single nucleotide variants (SNV), or in 2 reads and AF of ≥0.2% for small indels, were candidate variants validated by Sanger sequencing or amplicon MPS (aMPS). All mutations identified in cfDNA were also assessed in matched patient WBC DNA using aMPS and Sanger sequencing. Tumor specimens from 23 pts were also sequenced in parallel using our institutional OncoPanel assay that assesses 275-447 cancer-associated genes and results were compared with those seen in the cfDNA. Results: Thirty-one of 38 (82%) candidate variants were validated in 17 of 40 pts. Ten of those (32%) from 10 pts were also detected in WBC DNA, 3 of which were germline and 7 were at low mosaic frequency and likely reflected clonal hematopoiesis (CH). The remaining 21 variants validated in cfDNA were in TP53 (6), PBRM1 (3), SETD2 (3), VHL (2), ATM (2), NF2 (2), PTEN (1), PIK3CA (1), and MTOR (1). Two of 17 (12%) pts without tumor mutation analysis had 4 validated variants seen in cfDNA only. 10 of 23 (43%) pts with tumor mutation analysis had one or more variants seen in both tumor DNA and cfDNA. Three of the 23 had mutations seen only in cfDNA. Pts with any mutation in cfDNA (n = 14) had a significantly shorter overall survival in comparison to those without a finding (p < 0.001). Among 12 pts with serial samples, 5 had cfDNA variants identified. Response to therapy correlated with variant prevalence in all 5, including 2 with significant partial responses. Conclusions: This study suggests that paired tumor–cfDNA analysis has value in the assessment of response to therapy in RCC. Further analysis is proceeding.


2017 ◽  
Vol 40 (11) ◽  
pp. 707-710 ◽  
Author(s):  
Keren Rouvinov ◽  
Wilmosh Mermershtain ◽  
Hadas Dresler ◽  
Samuel Ariad ◽  
Reut Riff ◽  
...  

2018 ◽  
Vol 17 (2) ◽  
pp. e114-e115
Author(s):  
M. Uemura ◽  
Y. Yamamoto ◽  
K. Nakano ◽  
Y. Hayashi ◽  
C. Wang ◽  
...  

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