Evidence map›Paper›PMID 33323402›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2021

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

Zexian Zeng, Jingxin Fu, Carrie Cibulskis, Aashna Jhaveri, Curtis Gumbs, Biswajit Das, Beatriz Sanchez-Espiridion, Sylvie Janssens, Len Taing, Jin Wang and 38 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Trial
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  7. Review
  8. Aging-related genes related to the prognosis and the immune microenvironment of acute myeloid leukemia.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023
    Article
  9. Review
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

48 authors.

Zexian Zeng *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jingxin Fu *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-4028-3661
Carrie Cibulskis *Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Aashna Jhaveri *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Curtis Gumbs *Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Biswajit Das *Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Beatriz Sanchez-Espiridion *Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sylvie Janssens *The Emmes Company, LLC, Rockville, Maryland.
Len TaingDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jin WangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
James LindsayDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-6295-098X
Tomas VilimasMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.ORCID 0000-0002-4560-943X
Jianhua ZhangDepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9526-6730
Collin TokheimDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Avinash SahuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Peng JiangCancer Data Science Lab, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-7828-5486
Chunhua YanCenter for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0001-5474-7431
Dzifa Yawa DuoseDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Ethan CeramiDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Li ChenMolecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
David CohenDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Qingrong ChenCenter for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland.
Rebecca EnosThe Emmes Company, LLC, Rockville, Maryland.ORCID 0000-0002-2480-0403
Xin HuangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0002-6569-0095
Jack J LeeDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-5469-9214
Yang LiuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Donna S NeubergDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2566-3145
Cu NguyenCenter for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland.
Candace PattersonBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Sharmistha SarkarDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Sachet ShuklaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-2445-3584
Ming TangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Junko TsujiBroad Institute of MIT and Harvard, Cambridge, Massachusetts.
Mohamed UdumanDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Xiaoman WangDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jason L WeiratherDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.ORCID 0000-0003-0556-0616
Jijun YuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Joyce YuDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jianjun ZhangDepartment of Thoracic/Head and Neck Medical Oncology and Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9526-6730
Jiexin ZhangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.ORCID 0000-0001-9526-6730
Daoud Meerzaman *Center for Biomedical Informatics and Information Technology, National Cancer Institute, Bethesda, Maryland.
Magdalena Thurin *Cancer Diagnosis Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland.
Andrew Futreal *Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Chris Karlovich *Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.
Stacey B Gabriel *Broad Institute of MIT and Harvard, Cambridge, Massachusetts.
Ignacio Ivan Wistuba *Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
X Shirley Liu *Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts. cwu@partners.org xsliu@ds.dfci.harvard.edu.
Catherine J Wu *Broad Institute of MIT and Harvard, Cambridge, Massachusetts. cwu@partners.org xsliu@ds.dfci.harvard.edu.ORCID 0000-0002-3348-5054

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
High-Dimensional Immune Monitoring of NCI-Supported Immunotherapy TrialsU24CA224319 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Sacha Gnjatic, Seunghee Kim-Schulze · 2017 to 2026
$21.5M
Stanford Cancer Immune Monitoring and Analysis Center (CIMAC)U24CA224309 · NCI · STANFORD UNIVERSITY · PI Sean Curtis Bendall, Holden T. Maecker · 2017 to 2026
$19.9M
Cancer Immune Monitoring and Analysis CenterU24CA224331 · NCI · DANA-FARBER CANCER INST · PI FRANK S HODI, Catherine Ju-Ying Wu · 2017 to 2026
$18.4M
Translational Cancer Immune Monitoring and Analysis Center (TCIMAC)U24CA224285 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Gheath Al-Atrash, Cara L Haymaker · 2017 to 2026
$16.7M
Cancer Immunologic Data Commons (CIDC) Supplement RequestU24CA224316 · NCI · DANA-FARBER CANCER INST · PI CERAMI, ETHAN, MICHOR, FRANZISKA · 2017 to 2022
$6.8M
Immunogenomic analytical approaches for research and clinical applicationsR50CA211482 · NCI · DANA-FARBER CANCER INST · PI SHUKLA, SACHET ASHOK · 2016 to 2020
$1.3M
Identifying drug synergistic with cancer immunotherapyR00CA248953 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI SAHU, AVINASH DAS · 2023 to 2025
$716k
Identifying drug synergistic with cancer immunotherapyK99CA248953 · NCI · DANA-FARBER CANCER INST · PI SAHU, AVINASH DAS · 2020 to 2021
$240k
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENCI NIH HHS HHSN261201600002CNCI NIH HHS K99 CA248953NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA070907NCI NIH HHS R00 CA248953NCI NIH HHS R50 CA211482NCI NIH HHS U24 CA224285NCI NIH HHS U24 CA224309NCI NIH HHS U24 CA224316NCI NIH HHS U24 CA224319NCI NIH HHS U24 CA224331
6 · The paper itself

Abstract

purposeWhole-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

designDNA 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.

resultsThe 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.

conclusionsThe 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.

Indexed as

Base SequenceExome SequencingDNA, NeoplasmHumansMonitoring, ImmunologicNeoplasmsRNA, NeoplasmDNA, NeoplasmRNA, Neoplasm

Identifiers

PMID33323402
PMCPMC8203757

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.