Technical Validity of a Customized Assay of Sensitivity to Endocrine Therapy Using Sections from Fixed Breast Cancer Tissue.


Journal

Clinical chemistry
ISSN: 1530-8561
Titre abrégé: Clin Chem
Pays: England
ID NLM: 9421549

Informations de publication

Date de publication:
01 07 2020
Historique:
received: 01 01 2020
accepted: 20 04 2020
pubmed: 3 7 2020
medline: 30 3 2021
entrez: 3 7 2020
Statut: ppublish

Résumé

We translated a multigene expression index to predict sensitivity to endocrine therapy for Stage II-III breast cancer (SET2,3) to hybridization-based expression assays of formalin-fixed paraffin-embedded (FFPE) tissue sections. Here we report the technical validity with FFPE samples, including preanalytical and analytical performance. We calibrated SET2,3 from microarrays (Affymetrix U133A) of frozen samples to hybridization-based assays of FFPE tissue, using bead-based QuantiGene Plex (QGP) and slide-based NanoString (NS). The following preanalytical and analytical conditions were tested in controlled studies: replicates within and between frozen and fixed samples, age of paraffin blocks, homogenization of fixed sections versus extracted RNA, core biopsy versus surgically resected tumor, technical replicates, precision over 20 weeks, limiting dilution, linear range, and analytical sensitivity. Lin's concordance correlation coefficient (CCC) was used to measure concordance between measurements. SET2,3 index was calibrated to use with QGP (CCC 0.94) and NS (CCC 0.93) technical platforms, and was validated in two cohorts of older fixed samples using QGP (CCC 0.72, 0.85) and NS (CCC 0.78, 0.78). QGP assay was concordant using direct homogenization of fixed sections versus purified RNA (CCC 0.97) and between core and surgical sample types (CCC 0.90), with 100% accuracy in technical replicates, 1-9% coefficient of variation over 20 weekly tests, linear range 3.0-11.5 (log2 counts), and analytical sensitivity ≥2.0 (log2 counts). Measurement of the novel SET2,3 assay was technically valid from fixed tumor sections of biopsy or resection samples using simple, inexpensive, hybridization methods, without the need for RNA purification.

Sections du résumé

BACKGROUND
We translated a multigene expression index to predict sensitivity to endocrine therapy for Stage II-III breast cancer (SET2,3) to hybridization-based expression assays of formalin-fixed paraffin-embedded (FFPE) tissue sections. Here we report the technical validity with FFPE samples, including preanalytical and analytical performance.
METHODS
We calibrated SET2,3 from microarrays (Affymetrix U133A) of frozen samples to hybridization-based assays of FFPE tissue, using bead-based QuantiGene Plex (QGP) and slide-based NanoString (NS). The following preanalytical and analytical conditions were tested in controlled studies: replicates within and between frozen and fixed samples, age of paraffin blocks, homogenization of fixed sections versus extracted RNA, core biopsy versus surgically resected tumor, technical replicates, precision over 20 weeks, limiting dilution, linear range, and analytical sensitivity. Lin's concordance correlation coefficient (CCC) was used to measure concordance between measurements.
RESULTS
SET2,3 index was calibrated to use with QGP (CCC 0.94) and NS (CCC 0.93) technical platforms, and was validated in two cohorts of older fixed samples using QGP (CCC 0.72, 0.85) and NS (CCC 0.78, 0.78). QGP assay was concordant using direct homogenization of fixed sections versus purified RNA (CCC 0.97) and between core and surgical sample types (CCC 0.90), with 100% accuracy in technical replicates, 1-9% coefficient of variation over 20 weekly tests, linear range 3.0-11.5 (log2 counts), and analytical sensitivity ≥2.0 (log2 counts).
CONCLUSIONS
Measurement of the novel SET2,3 assay was technically valid from fixed tumor sections of biopsy or resection samples using simple, inexpensive, hybridization methods, without the need for RNA purification.

Identifiants

pubmed: 32613237
pii: 5866248
doi: 10.1093/clinchem/hvaa105
doi:

Substances chimiques

ESR1 protein, human 0
Estrogen Receptor alpha 0
Estrogens 0
RNA, Messenger 0
Receptors, Progesterone 0
ERBB2 protein, human EC 2.7.10.1
Receptor, ErbB-2 EC 2.7.10.1
AURKA protein, human EC 2.7.11.1
Aurora Kinase A EC 2.7.11.1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

934-945

Informations de copyright

© American Association for Clinical Chemistry 2020. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Auteurs

Rosanna Lau (R)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.

Lili Du (L)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.

Eveline Chen (E)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.

Chunxiao Fu (C)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.

Rebekah Gould (R)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.

Michal Marczyk (M)

Department of Medicine, Yale University School of Medicine, New Haven, CT.
Data Mining Division, Silesian University of Technology, Gliwice, Poland.

Bruno V Sinn (BV)

Department of Pathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institut of Health, Berlin, Germany.

Rachel Layman (R)

Department of Breast Medical Oncology, UT MD Anderson Cancer Center, Houston, TX.

Isabelle Bedrosian (I)

Department of Breast Surgical Oncology, UT MD Anderson Cancer Center, Houston, TX.

Vicente Valero (V)

Department of Breast Medical Oncology, UT MD Anderson Cancer Center, Houston, TX.

W Fraser Symmans (WF)

Department of Translational Molecular Pathology, UT MD Anderson Cancer Center, Houston, TX.
Department of Pathology, UT MD Anderson Cancer Center, Houston, TX.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH