Utility of a ready-to-use PCR system for neuroendocrine tumor diagnosis.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2019
Historique:
received: 15 01 2019
accepted: 05 06 2019
entrez: 28 6 2019
pubmed: 28 6 2019
medline: 14 2 2020
Statut: epublish

Résumé

Multigene-based PCR tests are time-consuming and limiting aspects of the protocol include increased risk of operator-based variation. In addition, such protocols are complex to transfer and reproduce between laboratories. Evaluate the clinical utility of a pre-spotted PCR plate (PSP) for a novel multigene (n = 51) blood-based gene expression diagnostic assay for neuroendocrine tumors (NETs). A pilot study (n = 44; 8 controls and 36 NETs) was undertaken to compare CQ, normalized gene expression and algorithm-based output (NETest score). Gene expression was then evaluated between matched blood:tumor tissue samples (n = 7). Thereafter, two prospective sets (diagnostic: n = 167; clinical validation: n = 48, respectively) were evaluated for diagnostic and clinical utility value. Two independent molecular diagnostics facilities were used to assess assay reproducibility and inter-laboratory metrics. Samples were collected (per CLIA protocol) processed to mRNA and cDNA and then either run per standard assay (liquid primers) or on PSPs. Separately, matching plasma samples were analyzed for chromogranin A (CgA). Statistics included non-parametric testing, Pearson-concordance, Predictive Modeling and AUROC analyses. In the pilot study (n = 44), CQ values were highly concordant (r: 0.82, p<0.0001) and normalized gene expression data significantly related (p<0.0001) (Pearson-pairwise correlation). NETest values were not different (49.7±33 standard vs. 48.5±31.5 PSP) and the overall concordance in output 96%. Predictive modelling confirmed this concordance (F1 score = 0.95). Gene expression levels were highly correlated between blood and tumor tissue (R: 0.71-0.83). In the diagnostic cohort (n = 30 controls, n = 87 non-NET controls, n = 50 NET), NETest was significantly lower (p<0.0001) in controls (11±6.5) and non-NET controls (13±18) than NETs (61±31). The AUROCs were 0.93-0.97 and the diagnostic accuracy was 90-97.5%. As a diagnostic, the PSP-NETest was significantly better than CgA (accuracy: 56%, p<0.0001). For clinical samples, the PSP generated robust and accurate (>96%) scores and was significantly better (p<0.0001) than CgA. The assay protocol was consistent (r: 0.97) and reproducible (co-efficient of variation: 1.3-4.2%) across the two facilities. The PSP protocol for the NETest has been established and prospectively tested in clinical samples. It is highly reproducible, has similar metrics (CV, categorization by control or NET) to the standard PCR assay and generates clinically concordant (>96%) NETest results. Moreover, it functions significantly more accurately than CgA.

Sections du résumé

BACKGROUND
Multigene-based PCR tests are time-consuming and limiting aspects of the protocol include increased risk of operator-based variation. In addition, such protocols are complex to transfer and reproduce between laboratories.
AIMS
Evaluate the clinical utility of a pre-spotted PCR plate (PSP) for a novel multigene (n = 51) blood-based gene expression diagnostic assay for neuroendocrine tumors (NETs).
METHODS
A pilot study (n = 44; 8 controls and 36 NETs) was undertaken to compare CQ, normalized gene expression and algorithm-based output (NETest score). Gene expression was then evaluated between matched blood:tumor tissue samples (n = 7). Thereafter, two prospective sets (diagnostic: n = 167; clinical validation: n = 48, respectively) were evaluated for diagnostic and clinical utility value. Two independent molecular diagnostics facilities were used to assess assay reproducibility and inter-laboratory metrics. Samples were collected (per CLIA protocol) processed to mRNA and cDNA and then either run per standard assay (liquid primers) or on PSPs. Separately, matching plasma samples were analyzed for chromogranin A (CgA). Statistics included non-parametric testing, Pearson-concordance, Predictive Modeling and AUROC analyses.
RESULTS
In the pilot study (n = 44), CQ values were highly concordant (r: 0.82, p<0.0001) and normalized gene expression data significantly related (p<0.0001) (Pearson-pairwise correlation). NETest values were not different (49.7±33 standard vs. 48.5±31.5 PSP) and the overall concordance in output 96%. Predictive modelling confirmed this concordance (F1 score = 0.95). Gene expression levels were highly correlated between blood and tumor tissue (R: 0.71-0.83). In the diagnostic cohort (n = 30 controls, n = 87 non-NET controls, n = 50 NET), NETest was significantly lower (p<0.0001) in controls (11±6.5) and non-NET controls (13±18) than NETs (61±31). The AUROCs were 0.93-0.97 and the diagnostic accuracy was 90-97.5%. As a diagnostic, the PSP-NETest was significantly better than CgA (accuracy: 56%, p<0.0001). For clinical samples, the PSP generated robust and accurate (>96%) scores and was significantly better (p<0.0001) than CgA. The assay protocol was consistent (r: 0.97) and reproducible (co-efficient of variation: 1.3-4.2%) across the two facilities.
CONCLUSION
The PSP protocol for the NETest has been established and prospectively tested in clinical samples. It is highly reproducible, has similar metrics (CV, categorization by control or NET) to the standard PCR assay and generates clinically concordant (>96%) NETest results. Moreover, it functions significantly more accurately than CgA.

Identifiants

pubmed: 31247038
doi: 10.1371/journal.pone.0218592
pii: PONE-D-19-00797
pmc: PMC6597157
doi:

Substances chimiques

Biomarkers, Tumor 0
CHGA protein, human 0
Chromogranin A 0
RNA 63231-63-0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0218592

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

Déclaration de conflit d'intérêts

The authors have read the journal’s policy and have the following competing interests: MK, SM, and NJF are employees and IAD and IMM were consultants of Wren Laboratories; NG and PB are employees of HCA, Sarah Cannon - UK; and Clifton Life Sciences provided funding for the study through an unrestricted educational grant. There are no patents, products in development or marketed products associated with this research to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Références

Physiol Genomics. 2007 Aug 20;30(3):363-70
pubmed: 17456737
Clin Chem. 2009 Apr;55(4):611-22
pubmed: 19246619
Nature. 2002 Jan 31;415(6871):530-6
pubmed: 11823860
PLoS One. 2013 May 15;8(5):e63364
pubmed: 23691035
Endocr Relat Cancer. 2018 Jan;25(1):R11-R29
pubmed: 29066503
N Engl J Med. 2018 Jul 12;379(2):111-121
pubmed: 29860917
Surg Oncol. 2015 Jun;24(2):61-6
pubmed: 25770397
Nat Rev Clin Oncol. 2017 Sep;14(9):531-548
pubmed: 28252003
Oncologist. 2019 Jun;24(6):783-790
pubmed: 30158287
Ann Oncol. 1998 Dec;9(12):1269-76
pubmed: 9932154
Eur J Cardiothorac Surg. 2018 Mar 1;53(3):631-639
pubmed: 29145657
Lab Invest. 1997 Sep;77(3):213-20
pubmed: 9314945
Mol Biol Rep. 2012 Jul;39(7):7421-7
pubmed: 22327777
Am J Gastroenterol. 2015 Aug;110(8):1223-32
pubmed: 26032155
Neuroendocrinology. 2019;108(3):219-231
pubmed: 30654372
J Natl Cancer Inst. 2005 Aug 17;97(16):1180-4
pubmed: 16106022
Radiology. 1983 Sep;148(3):839-43
pubmed: 6878708
J Clin Endocrinol Metab. 2015 Nov;100(11):E1437-45
pubmed: 26348352
BMC Genomics. 2013 Oct 08;14:690
pubmed: 24103217
Endocr Connect. 2014 Dec;3(4):215-23
pubmed: 25316294
Food Chem. 2016 Jun 15;201:110-9
pubmed: 26868555
DNA Cell Biol. 1991 Apr;10(3):233-8
pubmed: 2012681
Clin Chem. 1998 Mar;44(3):472-81
pubmed: 9510850
Surgery. 2016 Jan;159(1):336-47
pubmed: 26456125
Clin Chem. 1993 Apr;39(4):561-77
pubmed: 8472349
Neuroendocrinology. 2020;110(3-4):198-216
pubmed: 31266019
Clin Chem Lab Med. 2014 Mar;52(3):419-29
pubmed: 24127543
Neuroendocrinology. 2017;104(2):170-182
pubmed: 27078712
Mol Biotechnol. 2013 Jul;54(3):954-60
pubmed: 23354980
Clin Cancer Res. 2018 May 1;24(9):2182-2193
pubmed: 29440175
J Surg Oncol. 2018 Jul;118(1):37-48
pubmed: 30114319
J Virol Methods. 2018 Sep;259:60-65
pubmed: 29874550
Oncology (Williston Park). 1999 Feb;13(2):187-94; discussion 194-8, 204-5 pas
pubmed: 10079469
J Clin Oncol. 1997 Jul;15(7):2701-8
pubmed: 9215843
Oncotarget. 2017 Dec 29;9(6):7182-7196
pubmed: 29467960
Endocr Relat Cancer. 2015 Aug;22(4):561-75
pubmed: 26037279
Int J Cancer. 1998 Jul 3;77(1):164-5
pubmed: 9639409
Lancet. 2003 May 10;361(9369):1590-6
pubmed: 12747878
J Clin Oncol. 2006 Sep 10;24(26):4236-44
pubmed: 16896004

Auteurs

Mark Kidd (M)

Wren Laboratories, Branford, Connecticut, United States of America.

Ignat A Drozdov (IA)

Wren Laboratories, Branford, Connecticut, United States of America.

Somer Matar (S)

Wren Laboratories, Branford, Connecticut, United States of America.

Nicole Gurunlian (N)

Sarah Cannon Molecular Diagnostics, London, United Kingdom.

Nicholas J Ferranti (NJ)

Wren Laboratories, Branford, Connecticut, United States of America.

Anna Malczewska (A)

Medical University of Silesia, Katowice, Poland.

Philip Bennett (P)

Sarah Cannon Molecular Diagnostics, London, United Kingdom.

Lisa Bodei (L)

Memorial Sloan Kettering Cancer Centre, New York, New York, United States of America.

Irvin M Modlin (IM)

Yale University, School of Medicine, New Haven, Connecticut, United States of America.

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Classifications MeSH