Evidence map›Paper›PMID 30257882›Full record

ArticleBlood2018

Molecular classification of primary mediastinal large B-cell lymphoma using routinely available tissue specimens.

Anja Mottok, George Wright, Andreas Rosenwald, German Ott, Colleen Ramsower, Elias Campo, Rita M Braziel, Jan Delabie, Dennis D Weisenburger, Joo Y Song and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in Blood, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

44 citing papers in PubMed, 82 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors at 12 institutions in 5 countries.

Anja MottokCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.
George WrightBiometric Research Program, National Cancer Institute, Rockville, MD.
Andreas RosenwaldInstitute of Pathology, University of Würzburg and Comprehensive Cancer Center Mainfranken, Würzburg, Germany.
German OttDepartment of Pathology, Robert-Bosch-Krankenhaus and Dr. Margarete Fischer-Bosch Institute for Clinical Pharmacology, Stuttgart, Germany.
Colleen RamsowerDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ.
Elias CampoHematopathology Unit, Hospital Clinic Barcelona, University of Barcelona, Barcelona, Spain.
Rita M BrazielDepartment of Pathology, Oregon Health & Science University, Portland, Portland, OR.
Jan DelabieDepartment of Pathology, University Health Network, Toronto, ON, Canada.
Dennis D WeisenburgerDepartment of Pathology, Hematopathology Section and Lymph Node Registry, City of Hope Medical Center, Duarte, CA.
Joo Y SongDepartment of Pathology, Hematopathology Section and Lymph Node Registry, City of Hope Medical Center, Duarte, CA.
Wing C ChanDepartment of Pathology, Hematopathology Section and Lymph Node Registry, City of Hope Medical Center, Duarte, CA.
James R CookDepartment of Laboratory Medicine and Pathology, Cleveland Clinic, Cleveland, OH.
Kai FuDepartment of Pathology, University of Nebraska Medical Center, Omaha, NE.
Tim GreinerDepartment of Pathology, University of Nebraska Medical Center, Omaha, NE.
Erlend SmelandInstitute for Cancer Research, Oslo University Hospital, Oslo, Norway.
Harald HolteK.G. Jebsen Centre for B Cell Malignancies, Faculty of Medicine, University of Oslo, Oslo, Norway.
Kerry J SavageCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.
Betty J Glinsmann-GibsonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ.
Randy D GascoyneCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.
Louis M StaudtCenter for Cancer Research, Lymphoid Malignancies Branch, National Cancer Institute, Bethesda, MD; and.
Elaine S JaffeHematopathology Section, National Cancer Institute, Bethesda, MD.
Joseph M ConnorsCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.
David W ScottCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.
Christian SteidlCentre for Lymphoid Cancer, BC Cancer Agency, Vancouver, BC, Canada.ORCID 0000-0001-9842-9750
Lisa M RimszaDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Scottsdale, AZ.
BC Cancer Agency · CACity Of Hope National Medical Center · USMayo Clinic in Arizona · USNational Cancer Institute · USOslo University Hospital · NOUniversity of Nebraska Medical Center · USCleveland Clinic · USConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESOregon Health & Science University · USRobert Bosch Hospital · DEUniversity Health Network · CAUniversity of Würzburg · DE

Funding

Transplant for Lymphoma:Therapy-Related LeukemiaP50CA107399 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI PALMER, JOYCELYNNE · 2004 to 2022
$35.5M
Molecular diagnosis and outcome prediction in lymphomaZIABC011006 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI STAUDT, LOUIS · 2009 to 2025
$21.0M
Molecular Diagnosis and Prognosis in Aggressive LymphomaU01CA157581 · NCI · UNIVERSITY OF ARIZONA · PI RIMSZA, LISA · 2011 to 2015
$3.1M
NCI NIH HHS P50 CA107399NCI NIH HHS U01 CA157581
6 · The paper itself

Abstract

Primary mediastinal large B-cell lymphoma (PMBCL) is recognized as a distinct entity in the World Health Organization classification. Currently, the diagnosis relies on consensus of histopathology, clinical variables, and presentation, giving rise to diagnostic inaccuracy in routine practice. Previous studies have demonstrated that PMBCL can be distinguished from subtypes of diffuse large B-cell lymphoma (DLBCL) based on gene expression signatures. However, requirement of fresh-frozen biopsy material has precluded the transfer of gene expression-based assays to the clinic. Here, we developed a robust and accurate molecular classification assay (Lymph3Cx) for the distinction of PMBCL from DLBCL subtypes based on gene expression measurements in formalin-fixed, paraffin-embedded tissue. A probabilistic model accounting for classification error, comprising 58 gene features, was trained on 68 cases of PMBCL and DLBCL. Performance of the model was subsequently evaluated in an independent validation cohort of 158 cases and showed high agreement of the Lymph3Cx molecular classification with the clinicopathological diagnosis of an expert panel (frank misclassification rate, 3.8%). Furthermore, we demonstrate reproducibility of the assay with 100% concordance of subtype assignments at 2 independent laboratories. Future studies will determine Lymph3Cx's utility for routine diagnostic purposes and therapeutic decision making.

Indexed as

Gene Expression ProfilingCohort StudiesGene Expression Regulation, NeoplasticHumansLymphoma, Large B-Cell, DiffuseLymphoma, Non-HodgkinMediastinal NeoplasmsMediastinumParaffin Embedding

Identifiers

PMID30257882
PMCPMC6265647
OpenAlexW2892392661

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.