Literature DB >> 33323402

Cross-Site Concordance Evaluation of Tumor DNA and RNA Sequencing Platforms for the CIMAC-CIDC Network.

Zexian Zeng1,2, Jingxin Fu1,3, Carrie Cibulskis4, Aashna Jhaveri1, Curtis Gumbs5,6, Biswajit Das7, Beatriz Sanchez-Espiridion8,9, Sylvie Janssens10, Daoud Meerzaman11, Magdalena Thurin12, Andrew Futreal5,6, Chris Karlovich7, Stacey B Gabriel4, Ignacio Ivan Wistuba8,9, X Shirley Liu13,14, Catherine J Wu15,16,17, Len Taing16, Jin Wang1,3, James Lindsay1, Tomas Vilimas7, Jianhua Zhang5,6, Collin Tokheim1,2, Avinash Sahu1,2, Peng Jiang18, Chunhua Yan11, Dzifa Yawa Duose8,9, Ethan Cerami1, Li Chen7, David Cohen1, Qingrong Chen11, Rebecca Enos10, Xin Huang1, Jack J Lee19,20, Yang Liu1,2, Donna S Neuberg1, Cu Nguyen11, Candace Patterson4, Sharmistha Sarkar8,9, Sachet Shukla16,21, Ming Tang1,2, Junko Tsuji4, Mohamed Uduman1,22, Xiaoman Wang1, Jason L Weirather1,22, Jijun Yu1, Joyce Yu1, Jianjun Zhang23, Jiexin Zhang24.   

Abstract

PURPOSE: Whole-exome (WES) and RNA sequencing (RNA-seq) are key components of cancer immunogenomic analyses. To evaluate the consistency of tumor WES and RNA-seq profiling platforms across different centers, the Cancer Immune Monitoring and Analysis Centers (CIMAC) and the Cancer Immunologic Data Commons (CIDC) conducted a systematic harmonization study. EXPERIMENTAL
DESIGN: DNA and RNA were centrally extracted from fresh frozen and formalin-fixed paraffin-embedded non-small cell lung carcinoma tumors and distributed to three centers for WES and RNA-seq profiling. In addition, two 10-plex HapMap cell line pools with known mutations were used to evaluate the accuracy of the WES platforms.
RESULTS: The WES platforms achieved high precision (> 0.98) and recall (> 0.87) on the HapMap pools when evaluated on loci using > 50× common coverage. Nonsynonymous mutations clustered by tumor sample, achieving an index of specific agreement above 0.67 among replicates, centers, and sample processing. A DV200 > 24% for RNA, as a putative presequencing RNA quality control (QC) metric, was found to be a reliable threshold for generating consistent expression readouts in RNA-seq and NanoString data. MedTIN > 30 was likewise assessed as a reliable RNA-seq QC metric, above which samples from the same tumor across replicates, centers, and sample processing runs could be robustly clustered and HLA typing, immune infiltration, and immune repertoire inference could be performed.
CONCLUSIONS: The CIMAC collaborating laboratory platforms effectively generated consistent WES and RNA-seq data and enable robust cross-trial comparisons and meta-analyses of highly complex immuno-oncology biomarker data across the NCI CIMAC-CIDC Network. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 33323402      PMCID: PMC8203757          DOI: 10.1158/1078-0432.CCR-20-3251

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  60 in total

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Journal:  BMC Bioinformatics       Date:  2016-02-03       Impact factor: 3.169

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8.  Antigen receptor repertoire profiling from RNA-seq data.

Authors:  Dmitriy A Bolotin; Stanislav Poslavsky; Alexey N Davydov; Felix E Frenkel; Lorenzo Fanchi; Olga I Zolotareva; Saskia Hemmers; Ekaterina V Putintseva; Anna S Obraztsova; Mikhail Shugay; Ravshan I Ataullakhanov; Alexander Y Rudensky; Ton N Schumacher; Dmitriy M Chudakov
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10.  Whole-exome sequencing and clinical interpretation of formalin-fixed, paraffin-embedded tumor samples to guide precision cancer medicine.

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Journal:  Nat Med       Date:  2014-05-18       Impact factor: 53.440

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