Cross-oncopanel study reveals high sensitivity and accuracy with overall analytical performance depending on genomic regions

Warning

This publication doesn't include Institute of Computer Science. It includes Central European Institute of Technology. Official publication website can be found on muni.cz.
Authors

GONG B.S. LI D. KUSKO R. NOVORADOVSKAYA N. ZHANG Y.F. WANG S.Z. PABON-PENA C. ZHANG Z.H. LAI K. CAI W.S. LOCOCO J.S. LADER E. RICHMOND T.A. MITTAL V.K. LIU L.C. JOHANN D.J. WILLEY J.C. BUSHEL P.R. YU Y. XU C. CHEN G.C. BURGESS D. CAWLEY S. GIORDA K. HASELEY N. QIU F.J. WILKINS K. ARIB H. ATTWOOLL C. BABSON K. BAO L.L. BAO W.J. LUCAS A.B. BEST H. BHANDARI A. BISGIN H. BLACKBURN J. BLOMQUIST T.M. BOARDMAN L. BURGHER B. BUTLER D.J. CHANG C.J. CHAUBEY A. CHEN T. CHIERICI M. CHIN C.R. CLOSE D. CONROY J. COLEMAN J.C. CRAIG D.J. CRAWFORD E. DEL POZO A. DEVESON I.W. DUNCAN D. ETEROVIC A.K. FAN X.H. FOOX J. FURLANELLO C. GHOSAL A. GLENN S. GUAN M.J. HAAG C. HANG X.Y. HAPPE S. HENNIGAN B. HIPP J. HONG H.X. HORVATH K. HU J.H. HUNG L.Y. JAROSZ M. KERKHOF J. KIPP B. KREIL D.P. LAPUNZINA P. LI P. LI Q.Z. LI W.H. LI Z.G. LIANG Y. LIU S.Q. LIU Z.C. MA C. MARELLA N. MARTIN-ARENAS R. MEGHERBI D.B. MENG Q.C. MIECZKOWSKI P.A. MORRISON T. MUZNY D. NING B.T. PARSONS B.L. PAWELETZ C.P. PIROOZNIA M. QU W.B. RAYMOND A. RINDLER P. RINGLER R. SADIKOVIC B. SCHERER A. SCHULZE E. SEBRA R. SHAKNOVICH R. SHI Q. SHI T.L. SILLA-CASTRO J.C. SMITH M. LOPEZ M.S. SONG P. STETSON D. STRAHL M. STUART A. SUPPLEE J. SZANKASI P. TAN H.W. TANG L.Y. TAO Y.H. THAKKAR S. THIERRY-MIEG D. THIERRY-MIEG J. THODIMA V.J. THOMAS D. TICHÝ Boris TOM Nikola GARCIA E.V. VERMA S. WALKER K. WANG C. WANG J.W. WANG Y.X. WEN Z.N. WIRTA V. WU L.H. XIAO C.L. XIAO W.Z. XU S.B. YANG M. YING J.M. YIP S.H. ZHANG G.L. ZHANG S. ZHAO M.R. ZHENG Y.T. ZHOU X.Y. MASON C.E. MERCER T. TONG W.D. SHI L.M. JONES W. XU J.S.

Year of publication 2021
Type Article in Periodical
Magazine / Source GENOME BIOLOGY
MU Faculty or unit

Central European Institute of Technology

Citation
web https://genomebiology.biomedcentral.com/track/pdf/10.1186/s13059-021-02315-0.pdf
Doi http://dx.doi.org/10.1186/s13059-021-02315-0
Keywords Oncopanel sequencing; Target enrichment; Molecular diagnostics; Reproducibility; Analytical performance; Precision medicine
Description BackgroundTargeted sequencing using oncopanels requires comprehensive assessments of accuracy and detection sensitivity to ensure analytical validity. By employing reference materials characterized by the U.S. Food and Drug Administration-led SEquence Quality Control project phase2 (SEQC2) effort, we perform a cross-platform multi-lab evaluation of eight Pan-Cancer panels to assess best practices for oncopanel sequencing.ResultsAll panels demonstrate high sensitivity across targeted high-confidence coding regions and variant types for the variants previously verified to have variant allele frequency (VAF) in the 5-20% range. Sensitivity is reduced by utilizing VAF thresholds due to inherent variability in VAF measurements. Enforcing a VAF threshold for reporting has a positive impact on reducing false positive calls. Importantly, the false positive rate is found to be significantly higher outside the high-confidence coding regions, resulting in lower reproducibility. Thus, region restriction and VAF thresholds lead to low relative technical variability in estimating promising biomarkers and tumor mutational burden.ConclusionThis comprehensive study provides actionable guidelines for oncopanel sequencing and clear evidence that supports a simplified approach to assess the analytical performance of oncopanels. It will facilitate the rapid implementation, validation, and quality control of oncopanels in clinical use.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info