Literature DB >> 23628816

Analytical validation of a practical molecular assay prognostic of survival in nonsquamous non-small cell lung cancer.

Johannes R Kratz1, Patrick T Tham, Michael S Mulvihill, Fatemeh Ziaei, Mahashweta Roshni Ray, Jerry W Hurst, Mark R Segal, David M Berryman, Wenjiang Chu, Biao He, David M Jablons, Michael J Mann.   

Abstract

A molecular assay prognostic of survival in resected nonsquamous non-small cell lung cancer designed to meet the need for improved risk stratification in early-stage disease has recently been described. This assay measures the expression levels of 14 genes using RNA extracted from formalin-fixed, paraffin-embedded (FFPE) tissues. The assay underwent blinded clinical validation in 2 large international cohorts involving approximately 1500 patients; the analytical precision and reproducibility of this assay, however, have not yet been reported. For each of the 14 TaqMan quantitative polymerase chain reaction (PCR) primer and probe sets used in the molecular prognostic assay, the linear range, PCR efficiency, limits of blank, limits of quantitation, and quantitative bias were determined using serial dilutions of pooled RNA extracted from FFPE samples. The reproducibility of the entire molecular assay was determined by performing repeat testing of FFPE samples over multiple days. The linear range of individual quantitative TaqMan PCR primer and probe sets was between 2(10)- and 2(15)-fold input RNA. The median C(T) of the quantitative PCR primer and probe sets at 10 ng of input RNA was 24.3; the median efficiency was 91.2%. The median quantitative bias across all quantitative PCR primer and probe sets was 0.75% (range, 0.32% to 1.32%). In repeat testing, the mean SD of the risk score (scaled from 1 to 100) was 2.18, with a mean coefficient of variation of 0.08. The molecular prognostic assay presented in this study demonstrates high precision and reproducibility, validating its clinical utility as a reliable prognostic tool that can contribute to the management of patients with early-stage disease.

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Year:  2013        PMID: 23628816     DOI: 10.1097/PDM.0b013e318273fb61

Source DB:  PubMed          Journal:  Diagn Mol Pathol        ISSN: 1052-9551


  8 in total

1.  Improved outcomes and staging in non-small-cell lung cancer guided by a molecular assay.

Authors:  Alexander R Gupta; Gavitt A Woodard; David M Jablons; Michael J Mann; Johannes R Kratz
Journal:  Future Oncol       Date:  2021-08-26       Impact factor: 3.674

2.  Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer.

Authors:  Ana I Robles; Curtis C Harris
Journal:  Lung Cancer       Date:  2016-06-14       Impact factor: 5.705

Review 3.  Prognostic and predictive biomarkers post curative intent therapy.

Authors:  Rebecca Feldman; Edward S Kim
Journal:  Ann Transl Med       Date:  2017-09

4.  Histology-dependent prognostic role of pERK and p53 protein levels in early-stage non-small cell lung cancer.

Authors:  Sonia Molina-Pinelo; Luis Paz-Ares; Álvaro Quintanal-Villalonga; Mariló Mediano; Irene Ferrer; Ricardo Meléndez; Andrés Carranza-Carranza; Rocío Suárez; Amancio Carnero
Journal:  Oncotarget       Date:  2018-04-13

5.  Comparison of Conventional TNM and Novel TNMB Staging Systems for Non-Small Cell Lung Cancer.

Authors:  Greg J Haro; Bonnie Sheu; Nancy R Cook; Gavitt A Woodard; Michael J Mann; Johannes R Kratz
Journal:  JAMA Netw Open       Date:  2019-12-02

Review 6.  Molecular biomarkers in early stage lung cancer.

Authors:  María Rodríguez; Daniel Ajona; Luis M Seijo; Julián Sanz; Karmele Valencia; Jesús Corral; Miguel Mesa-Guzmán; Rubén Pío; Alfonso Calvo; María D Lozano; Javier J Zulueta; Luis M Montuenga
Journal:  Transl Lung Cancer Res       Date:  2021-02

7.  Genetic and immunologic features of recurrent stage I lung adenocarcinoma.

Authors:  Johannes R Kratz; Jack Z Li; Jessica Tsui; Jen C Lee; Vivianne W Ding; Arjun A Rao; Michael J Mann; Vincent Chan; Alexis J Combes; Matthew F Krummel; David M Jablons
Journal:  Sci Rep       Date:  2021-12-08       Impact factor: 4.379

8.  Combined clinical and genomic signatures for the prognosis of early stage non-small cell lung cancer based on gene copy number alterations.

Authors:  Ander Aramburu; Isabel Zudaire; María J Pajares; Jackeline Agorreta; Alberto Orta; María D Lozano; Alfonso Gúrpide; Javier Gómez-Román; Jose A Martinez-Climent; Jacek Jassem; Marcin Skrzypski; Milind Suraokar; Carmen Behrens; Ignacio I Wistuba; Ruben Pio; Angel Rubio; Luis M Montuenga
Journal:  BMC Genomics       Date:  2015-10-06       Impact factor: 3.969

  8 in total

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