Optimization of Sources of Circulating Cell-Free DNA Variability for Downstream Molecular Analysis

Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker a...

Full description

Saved in:
Bibliographic Details
Published inThe Journal of molecular diagnostics : JMD Vol. 23; no. 11; pp. 1545 - 1552
Main Authors Till, Jacob E., Black, Taylor A., Gentile, Caren, Abdalla, Aseel, Wang, Zhuoyang, Sangha, Hareena K., Roth, Jacquelyn J., Sussman, Robyn, Yee, Stephanie S., O'Hara, Mark H., Thompson, Jeffrey C., Aggarwal, Charu, Hwang, Wei-Ting, Elenitoba-Johnson, Kojo S.J., Carpenter, Erica L.
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.11.2021
American Society for Investigative Pathology
Subjects
Online AccessGet full text

Cover

Loading…
Abstract Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at −80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.
AbstractList Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at -80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at -80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.
Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at -80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.
Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at −80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g) or slower-speed (4100 × g) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.
Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream molecular analysis. Determining optimal blood processing and ccfDNA quantification are crucial for ccfDNA to serve as an accurate biomarker as it moves into the clinical realm. Whole blood was collected from 50 subjects, processed to plasma, and used immediately or frozen at −80°C. Plasma ccfDNA was extracted and concentration was assessed by real-time quantitative PCR (qPCR), fluorimetry, and droplet digital PCR (ddPCR). For the 24 plasma samples from metastatic pancreatic cancer patients, the variant allele fractions (VAF) of KRAS G12/13 pathogenic variants in circulating tumor DNA (ctDNA) were measured by ddPCR. Using a high-speed (16,000 × g ) or slower-speed (4100 × g ) second centrifugation step showed no difference in ccfDNA yield or ctDNA VAF. A two- versus three-spin centrifugation protocol also showed no difference in ccfDNA yield or ctDNA VAF. A higher yield was observed from fresh versus frozen plasma by qPCR and fluorimetry, whereas a higher yield was observed for frozen versus fresh plasma by ddPCR, however, no difference was observed in ctDNA VAF. Overall, our findings suggest factors to consider when implementing a ccfDNA extraction and quantification workflow in a research or clinical setting.
Author Gentile, Caren
Sussman, Robyn
Black, Taylor A.
Sangha, Hareena K.
Abdalla, Aseel
Yee, Stephanie S.
Thompson, Jeffrey C.
Aggarwal, Charu
Carpenter, Erica L.
Wang, Zhuoyang
Till, Jacob E.
Hwang, Wei-Ting
Roth, Jacquelyn J.
Elenitoba-Johnson, Kojo S.J.
O'Hara, Mark H.
Author_xml – sequence: 1
  givenname: Jacob E.
  surname: Till
  fullname: Till, Jacob E.
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 2
  givenname: Taylor A.
  surname: Black
  fullname: Black, Taylor A.
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 3
  givenname: Caren
  orcidid: 0000-0002-3997-5249
  surname: Gentile
  fullname: Gentile, Caren
  organization: Division of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 4
  givenname: Aseel
  surname: Abdalla
  fullname: Abdalla, Aseel
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 5
  givenname: Zhuoyang
  orcidid: 0000-0002-5852-0442
  surname: Wang
  fullname: Wang, Zhuoyang
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 6
  givenname: Hareena K.
  surname: Sangha
  fullname: Sangha, Hareena K.
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 7
  givenname: Jacquelyn J.
  surname: Roth
  fullname: Roth, Jacquelyn J.
  organization: Division of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 8
  givenname: Robyn
  orcidid: 0000-0002-4057-9622
  surname: Sussman
  fullname: Sussman, Robyn
  organization: Division of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 9
  givenname: Stephanie S.
  surname: Yee
  fullname: Yee, Stephanie S.
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 10
  givenname: Mark H.
  surname: O'Hara
  fullname: O'Hara, Mark H.
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 11
  givenname: Jeffrey C.
  surname: Thompson
  fullname: Thompson, Jeffrey C.
  organization: Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 12
  givenname: Charu
  surname: Aggarwal
  fullname: Aggarwal, Charu
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 13
  givenname: Wei-Ting
  orcidid: 0000-0003-2829-2167
  surname: Hwang
  fullname: Hwang, Wei-Ting
  organization: Department of Biostatistics, Epidemiology and Informatics, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 14
  givenname: Kojo S.J.
  surname: Elenitoba-Johnson
  fullname: Elenitoba-Johnson, Kojo S.J.
  organization: Division of Precision and Computational Diagnostics, Department of Pathology and Laboratory Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
– sequence: 15
  givenname: Erica L.
  surname: Carpenter
  fullname: Carpenter, Erica L.
  email: erical@upenn.edu
  organization: Division of Hematology-Oncology, Department of Medicine, Raymond and Ruth Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
BackLink https://www.ncbi.nlm.nih.gov/pubmed/34454115$$D View this record in MEDLINE/PubMed
BookMark eNqFUU2P0zAQtdAi9gP-AUI5ckmwEydOEUKquiwgLeyBj6vlTCbLFMfu2ulC-fW4tKxgLz3NSPPem5n3TtmR8w4Zeyp4IbhoXiyL5eht_7MoeSkK3hacqwfsRMxklatWiKPU12Wdi1q1x-w0xiXnQsqmfMSOKylrKUR9wrqr1UQj_TITeZf5Ifvk1wEwbtsFBVjbNHHX2QKtzS8CYnb-cZ59NYFMR5amTTb4kJ37Hy5OAc2YffAWt6yQzZ2xm0jxMXs4GBvxyb6esS8Xbz4v3uWXV2_fL-aXOdSimXIUA3CFBk1bCdUJw-seoOKmlm3ZdlgZHKquMobPDCgA2c2GWa-gbVBVMJTVGXu9012tuxF7QDcFY_Uq0GjCRntD-v-Jo2_62t_qtpFKlioJPN8LBH-zxjjpkSKkx41Dv466rJuGl4pLnqDP_t11t-SvsQkgdwAIPsaAwx1EcL3NTy_1Lj-9zU_zVqf8Eu3lPRrQ9CebdDHZQ-S9AZhcviUMOgKhA-wpIEy693RI4NU9AbDkCIz9jpvD9N_N99Bi
CitedBy_id crossref_primary_10_1177_17588359221090365
crossref_primary_10_1016_j_cca_2024_119729
crossref_primary_10_1186_s13059_025_03511_y
crossref_primary_10_1371_journal_pone_0305895
crossref_primary_10_1016_j_nbt_2023_09_005
crossref_primary_10_3389_fgene_2024_1348096
Cites_doi 10.1158/1078-0432.CCR-19-2533
10.1016/j.ebiom.2019.10.008
10.1007/s00216-014-7835-3
10.1089/gtmb.2018.0106
10.3390/ijms20030704
10.3390/cancers11040458
10.1016/j.bdq.2019.100087
10.1101/cshperspect.a031435
10.1089/bio.2019.0026
10.1158/1078-0432.CCR-19-3015
10.1016/j.jmoldx.2017.06.004
10.1371/journal.pone.0150197
10.1158/1078-0432.CCR-16-1691
10.1016/j.jnci.2016.08.003
10.1016/j.clinbiochem.2015.07.097
10.1007/s00216-015-8846-4
10.1158/1078-0432.CCR-19-3313
10.1373/clinchem.2004.046219
10.1016/j.cca.2013.05.022
10.1128/JCM.00782-19
10.1016/j.jmoldx.2019.11.006
10.1002/jcla.22670
10.18632/oncotarget.21256
10.1016/j.jmoldx.2018.07.005
10.1371/journal.pone.0101500
10.1016/j.heliyon.2018.e00699
10.1016/j.cca.2018.01.007
10.1002/cam4.1184
ContentType Journal Article
Copyright 2021 Association for Molecular Pathology and American Society for Investigative Pathology
Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. 2021 Association for Molecular Pathology and American Society for Investigative Pathology
Copyright_xml – notice: 2021 Association for Molecular Pathology and American Society for Investigative Pathology
– notice: Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
– notice: 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. 2021 Association for Molecular Pathology and American Society for Investigative Pathology
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
DOI 10.1016/j.jmoldx.2021.08.007
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
MEDLINE



Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1943-7811
EndPage 1552
ExternalDocumentID PMC8647427
34454115
10_1016_j_jmoldx_2021_08_007
S1525157821002634
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: Penn Pancreatic Cancer Research Center
– fundername: Penn Center for Precision Medicine Infrastructure
– fundername: NCI NIH HHS
  grantid: P30 CA016520
GroupedDBID ---
--K
.1-
.55
.FO
.GJ
0R~
18M
1KJ
1P~
29L
2WC
34G
39C
3O-
4.4
457
4G.
53G
5GY
5RE
5VS
7-5
AAEDT
AAEDW
AAIKJ
AALRI
AAQFI
AAQXK
AAXUO
AAYWO
ABJNI
ABLJU
ABMAC
ABOCM
ABWVN
ACGFS
ACRPL
ACVFH
ADBBV
ADCNI
ADEZE
ADHJS
ADMUD
ADNMO
ADVLN
AENEX
AEUPX
AEVXI
AFJKZ
AFPUW
AFRHN
AFTJW
AGCQF
AGHFR
AGQPQ
AI.
AIGII
AITUG
AJUYK
AKBMS
AKRWK
AKYEP
ALMA_UNASSIGNED_HOLDINGS
AMRAJ
APXCP
ASPBG
AVWKF
AZFZN
BAWUL
BELOY
CS3
DIK
DU5
E3Z
EBS
EFKBS
EJD
F5P
FDB
FEDTE
FGOYB
FRP
GBLVA
GX1
H13
HVGLF
HX~
HZ~
IH2
IXB
M41
O9-
OG0
OK1
OS0
P2P
R2-
ROL
SEL
SES
SJN
SSZ
TIP
TR2
VH1
WH7
WOQ
X7M
XH2
YHG
Z5R
AAIAV
ADPAM
AGZHU
AHPSJ
ALXNB
NCXOZ
ZA5
AAYXX
AFCTW
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
7X8
5PM
ID FETCH-LOGICAL-c516t-e1fc07eaea8317b1a05dcc30a54828be3aef3b3aa09ac7cc4b9f9d7c86e73cf23
IEDL.DBID IXB
ISSN 1525-1578
1943-7811
IngestDate Thu Aug 21 18:38:41 EDT 2025
Tue Aug 05 11:08:43 EDT 2025
Thu Apr 03 06:56:47 EDT 2025
Thu Apr 24 23:06:10 EDT 2025
Tue Jul 01 04:02:38 EDT 2025
Fri Feb 23 02:47:19 EST 2024
Tue Aug 26 16:33:41 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 11
Language English
License This article is made available under the Elsevier license.
Copyright © 2021 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c516t-e1fc07eaea8317b1a05dcc30a54828be3aef3b3aa09ac7cc4b9f9d7c86e73cf23
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0003-2829-2167
0000-0002-5852-0442
0000-0002-3997-5249
0000-0002-4057-9622
OpenAccessLink https://www.clinicalkey.com/#!/content/1-s2.0-S1525157821002634
PMID 34454115
PQID 2566027040
PQPubID 23479
PageCount 8
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_8647427
proquest_miscellaneous_2566027040
pubmed_primary_34454115
crossref_primary_10_1016_j_jmoldx_2021_08_007
crossref_citationtrail_10_1016_j_jmoldx_2021_08_007
elsevier_sciencedirect_doi_10_1016_j_jmoldx_2021_08_007
elsevier_clinicalkey_doi_10_1016_j_jmoldx_2021_08_007
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate November 2021
2021-11-00
20211101
PublicationDateYYYYMMDD 2021-11-01
PublicationDate_xml – month: 11
  year: 2021
  text: November 2021
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle The Journal of molecular diagnostics : JMD
PublicationTitleAlternate J Mol Diagn
PublicationYear 2021
Publisher Elsevier Inc
American Society for Investigative Pathology
Publisher_xml – name: Elsevier Inc
– name: American Society for Investigative Pathology
References Ponti, Maccaferri, Manfredini, Kaleci, Mandrioli, Pellacani, Ozben, Depenni, Bianchi, Pirola, Tomasi (bib22) 2018; 479
Zhao, Li, Chen, Li, Luo, Xia (bib4) 2019; 33
Madsen, Hojbjerg, Sorensen, Winther-Larsen (bib1) 2019; 49
Sherwood, Corcoran, Brown, Sharpe, Musilova, Kohlmann (bib8) 2016; 11
Shishido, Welter, Rodriguez-Lee, Kolatkar, Xu, Ruiz, Gerdtsson, Restrepo-Vassalli, Carlsson, Larsen, Greenspan, Hwang, Waitman, Nieva, Bethel, Hicks, Kuhn (bib16) 2020; 22
Fawzy, Sweify, El-Fayoumy, Nofal (bib23) 2016; 28
Devonshire, Whale, Gutteridge, Jones, Cowen, Foy, Huggett (bib18) 2014; 406
Parpart-Li, Bartlett, Popoli, Adleff, Tucker, Steinberg, Georgiadis, Phallen, Brahmer, Azad, Browner, Laheru, Velculescu, Sausen, Diaz (bib25) 2017; 23
Streleckiene, Forster, Inciuraite, Lukosevicius, Skieceviciene (bib14) 2019; 17
Toro, Erlanger, Beaver, Cochran, VanDenBerg, Yakim, Cravero, Chu, Zabransky, Wong, Croessmann, Parsons, Hurley, Lauring, Park (bib24) 2015; 48
Manokhina, Singh, Peñaherrera, Robinson (bib19) 2014; 9
Chen, Zhang, Li, Xu, Zhao, Miao (bib9) 2019; 23
Garcia, Dusserre, Cheynet, Bringuier, Brengle-Pesce, Wozny, Rodriguez-Lafrasse, Freyer, Brevet, Payen, Couraud (bib20) 2017; 8
Sorber, Zwaenepoel, Jacobs, De Winne, Goethals, Reclusa, Van Casteren, Augustus, Lardon, Roeyen, Peeters, Van Meerbeeck, Rolfo, Pauwels (bib12) 2019; 11
Gahlawat, Lenhardt, Witte, Keitel, Kaufhold, Maass, Pajtler, Sohn, Schott (bib5) 2019; 20
Murugesan, Hogan, Palmer, Reeve, Theron, Andama, Somoskovi, Steadman, Madan, Andrews, Croda, Sahoo, Cattamanchi, Pinsky, Banaei (bib11) 2019; 57
Bagley, Ali Nabavizadeh, Mays, Till, Ware, Levy, Sarchiapone, Hussain, Prior, Guiry, Christensen, Yee, Nasrallah, Morrissette, Binder, O’Rourke, Cucchiara, Brem, Desai, Carpenter (bib2) 2020; 26
Mauger, Dulary, Daviaud, Deleuze, Tost (bib21) 2015; 407
Liao, Lewis (bib29) 2000; 54
Waters, Der (bib27) 2018; 8
Bronkhorst, Ungerer, Holdenrieder (bib3) 2019; 17
Greytak, Engel, Parpart-Li, Murtaza, Bronkhorst, Pertile, Moore (bib13) 2020; 26
Chan, Yeung, Lui, Rainer, Lo (bib15) 2005; 51
Alidousty, Brandes, Heydt, Wagener, Wittersheim, Schäfer, Holz, Merkelbach-Bruse, Büttner, Fassunke, Schultheis (bib6) 2017; 19
van Ginkel, van den Broek, van Kuik, Linders, de Weger, Willems, Huibers (bib10) 2017; 6
Risberg, Tsui, Biggs, Ruiz-Valdepenas Martin de Almagro, Dawson, Hodgkin, Jones, Parkinson, Piskorz, Marass, Chandrananda, Moore, Morris, Plagnol, Rosenfeld, Caldas, Brenton, Gale (bib26) 2018; 20
El Messaoudi, Rolet, Mouliere, Thierry (bib17) 2013; 424
Yang, LaRiviere, Ko, Till, Christensen, Yee, Black, Tien, Lin, Shen, Bhagwat, Herman, Adallah, O’Hara, Vollmer, Katona, Stanger, Issadore, Carpenter (bib28) 2020; 26
Trigg, Martinson, Parpart-Li, Shaw (bib7) 2018; 4
Sorber (10.1016/j.jmoldx.2021.08.007_bib12) 2019; 11
Devonshire (10.1016/j.jmoldx.2021.08.007_bib18) 2014; 406
Risberg (10.1016/j.jmoldx.2021.08.007_bib26) 2018; 20
Liao (10.1016/j.jmoldx.2021.08.007_bib29) 2000; 54
Trigg (10.1016/j.jmoldx.2021.08.007_bib7) 2018; 4
Manokhina (10.1016/j.jmoldx.2021.08.007_bib19) 2014; 9
Murugesan (10.1016/j.jmoldx.2021.08.007_bib11) 2019; 57
Gahlawat (10.1016/j.jmoldx.2021.08.007_bib5) 2019; 20
van Ginkel (10.1016/j.jmoldx.2021.08.007_bib10) 2017; 6
Madsen (10.1016/j.jmoldx.2021.08.007_bib1) 2019; 49
Shishido (10.1016/j.jmoldx.2021.08.007_bib16) 2020; 22
Mauger (10.1016/j.jmoldx.2021.08.007_bib21) 2015; 407
Fawzy (10.1016/j.jmoldx.2021.08.007_bib23) 2016; 28
Garcia (10.1016/j.jmoldx.2021.08.007_bib20) 2017; 8
El Messaoudi (10.1016/j.jmoldx.2021.08.007_bib17) 2013; 424
Alidousty (10.1016/j.jmoldx.2021.08.007_bib6) 2017; 19
Parpart-Li (10.1016/j.jmoldx.2021.08.007_bib25) 2017; 23
Yang (10.1016/j.jmoldx.2021.08.007_bib28) 2020; 26
Zhao (10.1016/j.jmoldx.2021.08.007_bib4) 2019; 33
Bronkhorst (10.1016/j.jmoldx.2021.08.007_bib3) 2019; 17
Greytak (10.1016/j.jmoldx.2021.08.007_bib13) 2020; 26
Toro (10.1016/j.jmoldx.2021.08.007_bib24) 2015; 48
Waters (10.1016/j.jmoldx.2021.08.007_bib27) 2018; 8
Sherwood (10.1016/j.jmoldx.2021.08.007_bib8) 2016; 11
Chen (10.1016/j.jmoldx.2021.08.007_bib9) 2019; 23
Streleckiene (10.1016/j.jmoldx.2021.08.007_bib14) 2019; 17
Bagley (10.1016/j.jmoldx.2021.08.007_bib2) 2020; 26
Chan (10.1016/j.jmoldx.2021.08.007_bib15) 2005; 51
Ponti (10.1016/j.jmoldx.2021.08.007_bib22) 2018; 479
References_xml – volume: 33
  start-page: e22670
  year: 2019
  ident: bib4
  article-title: Performance comparison of blood collection tubes as liquid biopsy storage system for minimizing cfDNA contamination from genomic DNA
  publication-title: J Clin Lab Anal
– volume: 6
  start-page: 2297
  year: 2017
  end-page: 2307
  ident: bib10
  article-title: Preanalytical blood sample workup for cell-free DNA analysis using droplet digital PCR for future molecular cancer diagnostics
  publication-title: Cancer Med
– volume: 23
  start-page: 270
  year: 2019
  end-page: 276
  ident: bib9
  article-title: Comprehensive evaluation of the factors affecting plasma circulating cell-free DNA levels and their application in diagnosing nonsmall cell lung cancer
  publication-title: Genet Test Mol Biomarkers
– volume: 406
  start-page: 6499
  year: 2014
  end-page: 6512
  ident: bib18
  article-title: Towards standardisation of cell-free DNA measurement in plasma: controls for extraction efficiency, fragment size bias and quantification
  publication-title: Anal Bioanal Chem
– volume: 20
  start-page: 704
  year: 2019
  ident: bib5
  article-title: Evaluation of storage tubes for combined analysis of circulating nucleic acids in liquid biopsies
  publication-title: Int J Mol Sci
– volume: 20
  start-page: 883
  year: 2018
  end-page: 892
  ident: bib26
  article-title: Effects of collection and processing procedures on plasma circulating cell-free DNA from cancer patients
  publication-title: J Mol Diagnostics
– volume: 8
  start-page: 87980
  year: 2017
  end-page: 87996
  ident: bib20
  article-title: Evaluation of pre-analytical conditions and comparison of the performance of several digital PCR assays for the detection of major EGFR mutations in circulating DNA from non-small cell lung cancers: the CIRCAN_0 study
  publication-title: Oncotarget
– volume: 8
  start-page: 1
  year: 2018
  end-page: 17
  ident: bib27
  article-title: KRAS: the critical driver and therapeutic target for pancreatic cancer
  publication-title: Cold Spring Harb Perspect Med
– volume: 19
  start-page: 801
  year: 2017
  end-page: 804
  ident: bib6
  article-title: Comparison of blood collection tubes from three different manufacturers for the collection of cell-free DNA for liquid biopsy mutation testing
  publication-title: J Mol Diagn
– volume: 54
  start-page: 23
  year: 2000
  end-page: 26
  ident: bib29
  article-title: A note on concordance correlation coefficient
  publication-title: PDA J Pharm Sci Technol
– volume: 4
  start-page: e00699
  year: 2018
  ident: bib7
  article-title: Factors that influence quality and yield of circulating-free DNA: a systematic review of the methodology literature
  publication-title: Heliyon
– volume: 26
  start-page: 397
  year: 2020
  end-page: 407
  ident: bib2
  article-title: Clinical utility of plasma cell-free DNA in adult patients with newly diagnosed glioblastoma: a pilot prospective study
  publication-title: Clin Cancer Res
– volume: 11
  start-page: e0150197
  year: 2016
  ident: bib8
  article-title: Optimised pre-analytical methods improve KRAS mutation detection in circulating tumour DNA (ctDNA) from patients with non-small cell lung cancer (NSCLC)
  publication-title: PLoS One
– volume: 26
  start-page: 3104
  year: 2020
  end-page: 3109
  ident: bib13
  article-title: Harmonizing cell-free DNA collection and processing practices through evidence-based guidance
  publication-title: Clin Cancer Res
– volume: 479
  start-page: 14
  year: 2018
  end-page: 19
  ident: bib22
  article-title: The value of fluorimetry (Qubit) and spectrophotometry (NanoDrop) in the quantification of cell-free DNA (cfDNA) in malignant melanoma and prostate cancer patients
  publication-title: Clin Chim Acta
– volume: 28
  start-page: 235
  year: 2016
  end-page: 242
  ident: bib23
  article-title: Quantitative analysis of plasma cell-free DNA and its DNA integrity in patients with metastatic prostate cancer using ALU sequence
  publication-title: J Egypt Natl Canc Inst
– volume: 22
  start-page: 319
  year: 2020
  end-page: 337
  ident: bib16
  article-title: Preanalytical variables for the genomic assessment of the cellular and acellular fractions of the liquid biopsy in a cohort of breast cancer patients
  publication-title: J Mol Diagn
– volume: 48
  start-page: 993
  year: 2015
  end-page: 998
  ident: bib24
  article-title: Comparison of cell stabilizing blood collection tubes for circulating plasma tumor DNA
  publication-title: Clin Biochem
– volume: 424
  start-page: 222
  year: 2013
  end-page: 230
  ident: bib17
  article-title: Circulating cell free DNA: preanalytical considerations
  publication-title: Clin Chim Acta
– volume: 407
  start-page: 6873
  year: 2015
  end-page: 6878
  ident: bib21
  article-title: Comprehensive evaluation of methods to isolate, quantify, and characterize circulating cell-free DNA from small volumes of plasma
  publication-title: Anal Bioanal Chem
– volume: 51
  start-page: 781
  year: 2005
  end-page: 784
  ident: bib15
  article-title: Effects of preanalytical factors on the molecular size of cell-free DNA in blood
  publication-title: Clin Chem
– volume: 23
  start-page: 2471
  year: 2017
  end-page: 2477
  ident: bib25
  article-title: The effect of preservative and temperature on the analysis of circulating tumor DNA
  publication-title: Clin Cancer Res
– volume: 57
  start-page: e00782-19
  year: 2019
  ident: bib11
  article-title: Investigation of preanalytical variables impacting pathogen cell-free DNA in blood and urine
  publication-title: J Clin Microbiol
– volume: 17
  start-page: 100087
  year: 2019
  ident: bib3
  article-title: The emerging role of cell-free DNA as a molecular marker for cancer management
  publication-title: Biomol Detect Quantif
– volume: 17
  start-page: 553
  year: 2019
  end-page: 561
  ident: bib14
  article-title: Effects of quantification methods, isolation kits, plasma Biobanking, and hemolysis on cell-free DNA analysis in plasma
  publication-title: Biopreserv Biobank
– volume: 26
  start-page: 3248
  year: 2020
  end-page: 3258
  ident: bib28
  article-title: A multianalyte panel consisting of extracellular vesicle miRNAs and mRNAs, cfDNA, and CA19-9 shows utility for diagnosis and staging of pancreatic ductal adenocarcinoma
  publication-title: Clin Cancer Res
– volume: 11
  start-page: 458
  year: 2019
  ident: bib12
  article-title: Circulating cell-free DNA and RNA analysis as liquid biopsy: optimal centrifugation protocol
  publication-title: Cancers (Basel)
– volume: 49
  start-page: 284
  year: 2019
  end-page: 290
  ident: bib1
  article-title: Day-to-day and within-day biological variation of cell-free DNA
  publication-title: EBioMedicine
– volume: 9
  start-page: e101500
  year: 2014
  ident: bib19
  article-title: Quantification of cell-free DNA in normal and complicated pregnancies: overcoming biological and technical issues
  publication-title: PLoS One
– volume: 26
  start-page: 397
  year: 2020
  ident: 10.1016/j.jmoldx.2021.08.007_bib2
  article-title: Clinical utility of plasma cell-free DNA in adult patients with newly diagnosed glioblastoma: a pilot prospective study
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-19-2533
– volume: 49
  start-page: 284
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib1
  article-title: Day-to-day and within-day biological variation of cell-free DNA
  publication-title: EBioMedicine
  doi: 10.1016/j.ebiom.2019.10.008
– volume: 406
  start-page: 6499
  year: 2014
  ident: 10.1016/j.jmoldx.2021.08.007_bib18
  article-title: Towards standardisation of cell-free DNA measurement in plasma: controls for extraction efficiency, fragment size bias and quantification
  publication-title: Anal Bioanal Chem
  doi: 10.1007/s00216-014-7835-3
– volume: 23
  start-page: 270
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib9
  article-title: Comprehensive evaluation of the factors affecting plasma circulating cell-free DNA levels and their application in diagnosing nonsmall cell lung cancer
  publication-title: Genet Test Mol Biomarkers
  doi: 10.1089/gtmb.2018.0106
– volume: 20
  start-page: 704
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib5
  article-title: Evaluation of storage tubes for combined analysis of circulating nucleic acids in liquid biopsies
  publication-title: Int J Mol Sci
  doi: 10.3390/ijms20030704
– volume: 11
  start-page: 458
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib12
  article-title: Circulating cell-free DNA and RNA analysis as liquid biopsy: optimal centrifugation protocol
  publication-title: Cancers (Basel)
  doi: 10.3390/cancers11040458
– volume: 17
  start-page: 100087
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib3
  article-title: The emerging role of cell-free DNA as a molecular marker for cancer management
  publication-title: Biomol Detect Quantif
  doi: 10.1016/j.bdq.2019.100087
– volume: 8
  start-page: 1
  year: 2018
  ident: 10.1016/j.jmoldx.2021.08.007_bib27
  article-title: KRAS: the critical driver and therapeutic target for pancreatic cancer
  publication-title: Cold Spring Harb Perspect Med
  doi: 10.1101/cshperspect.a031435
– volume: 17
  start-page: 553
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib14
  article-title: Effects of quantification methods, isolation kits, plasma Biobanking, and hemolysis on cell-free DNA analysis in plasma
  publication-title: Biopreserv Biobank
  doi: 10.1089/bio.2019.0026
– volume: 26
  start-page: 3104
  year: 2020
  ident: 10.1016/j.jmoldx.2021.08.007_bib13
  article-title: Harmonizing cell-free DNA collection and processing practices through evidence-based guidance
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-19-3015
– volume: 19
  start-page: 801
  year: 2017
  ident: 10.1016/j.jmoldx.2021.08.007_bib6
  article-title: Comparison of blood collection tubes from three different manufacturers for the collection of cell-free DNA for liquid biopsy mutation testing
  publication-title: J Mol Diagn
  doi: 10.1016/j.jmoldx.2017.06.004
– volume: 11
  start-page: e0150197
  year: 2016
  ident: 10.1016/j.jmoldx.2021.08.007_bib8
  article-title: Optimised pre-analytical methods improve KRAS mutation detection in circulating tumour DNA (ctDNA) from patients with non-small cell lung cancer (NSCLC)
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0150197
– volume: 23
  start-page: 2471
  year: 2017
  ident: 10.1016/j.jmoldx.2021.08.007_bib25
  article-title: The effect of preservative and temperature on the analysis of circulating tumor DNA
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-16-1691
– volume: 28
  start-page: 235
  year: 2016
  ident: 10.1016/j.jmoldx.2021.08.007_bib23
  article-title: Quantitative analysis of plasma cell-free DNA and its DNA integrity in patients with metastatic prostate cancer using ALU sequence
  publication-title: J Egypt Natl Canc Inst
  doi: 10.1016/j.jnci.2016.08.003
– volume: 48
  start-page: 993
  year: 2015
  ident: 10.1016/j.jmoldx.2021.08.007_bib24
  article-title: Comparison of cell stabilizing blood collection tubes for circulating plasma tumor DNA
  publication-title: Clin Biochem
  doi: 10.1016/j.clinbiochem.2015.07.097
– volume: 407
  start-page: 6873
  year: 2015
  ident: 10.1016/j.jmoldx.2021.08.007_bib21
  article-title: Comprehensive evaluation of methods to isolate, quantify, and characterize circulating cell-free DNA from small volumes of plasma
  publication-title: Anal Bioanal Chem
  doi: 10.1007/s00216-015-8846-4
– volume: 26
  start-page: 3248
  year: 2020
  ident: 10.1016/j.jmoldx.2021.08.007_bib28
  article-title: A multianalyte panel consisting of extracellular vesicle miRNAs and mRNAs, cfDNA, and CA19-9 shows utility for diagnosis and staging of pancreatic ductal adenocarcinoma
  publication-title: Clin Cancer Res
  doi: 10.1158/1078-0432.CCR-19-3313
– volume: 51
  start-page: 781
  year: 2005
  ident: 10.1016/j.jmoldx.2021.08.007_bib15
  article-title: Effects of preanalytical factors on the molecular size of cell-free DNA in blood
  publication-title: Clin Chem
  doi: 10.1373/clinchem.2004.046219
– volume: 424
  start-page: 222
  year: 2013
  ident: 10.1016/j.jmoldx.2021.08.007_bib17
  article-title: Circulating cell free DNA: preanalytical considerations
  publication-title: Clin Chim Acta
  doi: 10.1016/j.cca.2013.05.022
– volume: 54
  start-page: 23
  year: 2000
  ident: 10.1016/j.jmoldx.2021.08.007_bib29
  article-title: A note on concordance correlation coefficient
  publication-title: PDA J Pharm Sci Technol
– volume: 57
  start-page: e00782-19
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib11
  article-title: Investigation of preanalytical variables impacting pathogen cell-free DNA in blood and urine
  publication-title: J Clin Microbiol
  doi: 10.1128/JCM.00782-19
– volume: 22
  start-page: 319
  year: 2020
  ident: 10.1016/j.jmoldx.2021.08.007_bib16
  article-title: Preanalytical variables for the genomic assessment of the cellular and acellular fractions of the liquid biopsy in a cohort of breast cancer patients
  publication-title: J Mol Diagn
  doi: 10.1016/j.jmoldx.2019.11.006
– volume: 33
  start-page: e22670
  year: 2019
  ident: 10.1016/j.jmoldx.2021.08.007_bib4
  article-title: Performance comparison of blood collection tubes as liquid biopsy storage system for minimizing cfDNA contamination from genomic DNA
  publication-title: J Clin Lab Anal
  doi: 10.1002/jcla.22670
– volume: 8
  start-page: 87980
  year: 2017
  ident: 10.1016/j.jmoldx.2021.08.007_bib20
  article-title: Evaluation of pre-analytical conditions and comparison of the performance of several digital PCR assays for the detection of major EGFR mutations in circulating DNA from non-small cell lung cancers: the CIRCAN_0 study
  publication-title: Oncotarget
  doi: 10.18632/oncotarget.21256
– volume: 20
  start-page: 883
  year: 2018
  ident: 10.1016/j.jmoldx.2021.08.007_bib26
  article-title: Effects of collection and processing procedures on plasma circulating cell-free DNA from cancer patients
  publication-title: J Mol Diagnostics
  doi: 10.1016/j.jmoldx.2018.07.005
– volume: 9
  start-page: e101500
  year: 2014
  ident: 10.1016/j.jmoldx.2021.08.007_bib19
  article-title: Quantification of cell-free DNA in normal and complicated pregnancies: overcoming biological and technical issues
  publication-title: PLoS One
  doi: 10.1371/journal.pone.0101500
– volume: 4
  start-page: e00699
  year: 2018
  ident: 10.1016/j.jmoldx.2021.08.007_bib7
  article-title: Factors that influence quality and yield of circulating-free DNA: a systematic review of the methodology literature
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2018.e00699
– volume: 479
  start-page: 14
  year: 2018
  ident: 10.1016/j.jmoldx.2021.08.007_bib22
  article-title: The value of fluorimetry (Qubit) and spectrophotometry (NanoDrop) in the quantification of cell-free DNA (cfDNA) in malignant melanoma and prostate cancer patients
  publication-title: Clin Chim Acta
  doi: 10.1016/j.cca.2018.01.007
– volume: 6
  start-page: 2297
  year: 2017
  ident: 10.1016/j.jmoldx.2021.08.007_bib10
  article-title: Preanalytical blood sample workup for cell-free DNA analysis using droplet digital PCR for future molecular cancer diagnostics
  publication-title: Cancer Med
  doi: 10.1002/cam4.1184
SSID ssj0014462
Score 2.3714123
Snippet Circulating cell-free DNA (ccfDNA) is used increasingly as a cancer biomarker for prognostication, as a correlate for tumor volume, or as input for downstream...
SourceID pubmedcentral
proquest
pubmed
crossref
elsevier
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 1545
SubjectTerms Alleles
Biomarkers, Tumor - blood
Biomarkers, Tumor - genetics
Blood Specimen Collection - methods
Carcinoma, Pancreatic Ductal - blood
Carcinoma, Pancreatic Ductal - genetics
Carcinoma, Pancreatic Ductal - pathology
Case-Control Studies
Circulating Tumor DNA - blood
Circulating Tumor DNA - genetics
Circulating Tumor DNA - isolation & purification
Cohort Studies
Humans
Molecular Diagnostic Techniques - methods
Mutation
Neoplasm Metastasis
Pancreatic Neoplasms - blood
Pancreatic Neoplasms - genetics
Pancreatic Neoplasms - pathology
Real-Time Polymerase Chain Reaction - methods
Regular
Title Optimization of Sources of Circulating Cell-Free DNA Variability for Downstream Molecular Analysis
URI https://www.clinicalkey.com/#!/content/1-s2.0-S1525157821002634
https://dx.doi.org/10.1016/j.jmoldx.2021.08.007
https://www.ncbi.nlm.nih.gov/pubmed/34454115
https://www.proquest.com/docview/2566027040
https://pubmed.ncbi.nlm.nih.gov/PMC8647427
Volume 23
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV1Lb9swDBaKHoZdhm3dI90DGrCrENuSLfvYpQ2KAekOXYfcDD2oLUXiFGkKtP9-pG0ZzTagQ29-iLAsUhQpkR8Z-ww-VT5UUjhfVkJ5mQkL3ovMmcIkkOEqSPnOs7Pi9EJ9nefzPTaJuTAUVtnr_k6nt9q6fzLuR3N8tViMz6lyT0po7IQiWkjCBJWqbJP45l-GkwR0d9oTT2wsqHVMn2tjvC5X66W_RS8x64A8qajsv5env83PP6Mo7y1L0-fsWW9P8qOuyy_YHjQv2ZNZf2J-wOw31AmrPtmSrwM_b3frr-lysti4tnpX85NPYLkU0w0APz474j_Qg-4AvO84WrX8mPagKSZ9xWexni6PeCav2MX05PvkVPR1FYTL02IrIA0u0WDAlGg92NQkuXdOJga9l6y0IA0EaaUxSWWcdk7ZKlReu7IALV3I5Gu236wbeMs4aIuMypOgCMamRLHMTKWTqgwQLBonIybjcNauBx2n2hfLOkaXXdYdE2piQk0lMRM9YmKguupANx5on0dO1TGhFFVgjavCA3R6oNsRuv-g_BQFosb5SIcspoH1zXWNJmSBrj7qxhF70wnI8A9SqVyhCY7f3RGdoQFhfe--aRa_WszvslBaZfrw0T1-x57SXZdG-Z7tbzc38AHtqa392E6Y3xYeIsE
linkProvider Elsevier
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELfGkIAXxDfl00i8Wk1iJ04eR0fVwVoetqG-Wf44j05tOnWdBP895ySOKCAN8RbFtuLY5_Pv7LvfEfIeXCqcrzizrqyYcDxjBpxjmdWFTiDDXTDEO09nxeRMfJrn8z0yirEwwa2y0_2tTm-0dfdm2I3m8HKxGJ6EzD1pYGMPLKIFF7fIbUQDMuRvOJp_6K8S0N5prjyxNgvVY_xc4-R1sVov3Xc0E7OWyTNklf37_vQn_vzdjfKXfWn8gNzvACU9aPv8kOxB_YjcmXZX5o-J-YJKYdVFW9K1pyfNcf1VeBwtNrZJ31Wf0xEsl2y8AaCHswP6FU3olsH7B0VYSw_DIXRwSl_RaUyoSyOhyRNyNv54OpqwLrECs3labBmk3iYSNOgS4YNJdZI7a3mi0XzJSgNcg-eGa51U2kprhal85aQtC5Dc-ow_Jfv1uobnhII0OFN54kXgsSlRLjNdyaQqPXiD6GRAeBxOZTvW8ZD8Yqmie9mFaidBhUlQISdmIgeE9a0uW9aNG-rncaZUjChFHahwW7ihnezb7UjdP7R8FwVC4YIMtyy6hvX1lUIMWaCtj8pxQJ61AtL_AxciF4jB8bs7otNXCGTfuyX14ltD-l0WQopMvvjvHr8ldyen02N1fDT7_JLcCyVtTOUrsr_dXMNrBFdb86ZZPD8BqfYl4A
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimization+of+Sources+of+Circulating+Cell-Free+DNA+Variability+for+Downstream+Molecular+Analysis&rft.jtitle=The+Journal+of+molecular+diagnostics+%3A+JMD&rft.au=Till%2C+Jacob+E&rft.au=Black%2C+Taylor+A&rft.au=Gentile%2C+Caren&rft.au=Abdalla%2C+Aseel&rft.date=2021-11-01&rft.eissn=1943-7811&rft.volume=23&rft.issue=11&rft.spage=1545&rft_id=info:doi/10.1016%2Fj.jmoldx.2021.08.007&rft_id=info%3Apmid%2F34454115&rft.externalDocID=34454115
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1525-1578&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1525-1578&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1525-1578&client=summon