Evidence map›Paper›PMID 34808593›Full record

ArticleCancer genetics2022

Clinical utility of chromosomal microarray in establishing clonality and high risk features in patients with Richter transformation.

Brian Hess, James Kalmuk, Iya Znoyko, Cynthia A Schandl, Nina Wagner-Johnston, Sandra Mazzoni, Lindsey Hendrickson, Zane Chiad, Irl Brian Greenwell, Daynna J Wolff

Open access · greenAbstract read
In one paragraph

Article in Cancer genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Richter Transformation: Clinical Manifestations, Evaluation, and Management.Journal of the advanced practitioner in oncology · 2022
    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

10 authors at 4 institutions in 1 country.

Brian HessDepartment of Hematology/Oncology, Walton Research Building, Medical University of South Carolina, 39 Sabin Street, Charleston SC, 29425, USA.
James KalmukDepartment of Hematology/Oncology, Walton Research Building, Medical University of South Carolina, 39 Sabin Street, Charleston SC, 29425, USA. Electronic address: kalmuk@musc.edu.
Iya ZnoykoDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, 171 Ashley Avenue, Charleston SC, 29425, USA.
Cynthia A SchandlDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, 171 Ashley Avenue, Charleston SC, 29425, USA.
Nina Wagner-JohnstonDepartment of Hematology/Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University, 1650 Orleans Street, Baltimore MD, 21287, USA.
Sandra MazzoniDepartment of Hematology/Oncology, Cleveland Clinic, 9500 Euclid Avenue, Cleveland OH, 44195, USA.
Lindsey HendricksonDepartment of Hematology/Oncology, Walton Research Building, Medical University of South Carolina, 39 Sabin Street, Charleston SC, 29425, USA.
Zane ChiadDepartment of Hematology/Oncology, Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte NC, 28204, USA.
Irl Brian GreenwellDepartment of Hematology/Oncology, Walton Research Building, Medical University of South Carolina, 39 Sabin Street, Charleston SC, 29425, USA.
Daynna J WolffDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina, 171 Ashley Avenue, Charleston SC, 29425, USA.
Medical University of South Carolina · USCleveland Clinic · USLevine Cancer Institute · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
NCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

Richter transformation (RT) refers to the development of an aggressive lymphoma in patients with pre-existing chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). It carries a poor prognosis secondary to poor response to therapy or rapid disease relapse. Currently there are no randomized trials to guide treatment. Therapeutic decisions are often influenced by the presence or absence of a clonal relationship between the underlying CLL/SLL and the new lymphoma given the poor prognosis of patients with clonally related RT. Chromosomal microarray analysis (CMA) can help to establish clonality while also detecting genomic complexity and clinically relevant genetic variants such as loss of CDKN2A and/or TP53. As a result, CMA has potential prognostic and therapeutic implications. For this study, CMA results from patients with Richter transformation were evaluated in paired CLL/SLL and transformed lymphoma samples. CMA revealed that 86% of patients had common aberrations in the two samples indicating evidence of common clonality. CMA was also useful in detecting aberrations associated with a poor prognosis in 71% of patients with RT. This study highlights the potential clinical utility of CMA to investigate the clonal relationship between CLL/SLL and RT, provide prognostic information, and possibly guide therapeutic decision making for patients with Richter transformation.

Indexed as

AgedChromosomes, HumanClone CellsDisease ProgressionFemaleGenomic InstabilityHumansLeukemia, Lymphocytic, Chronic, B-CellLymphoma, Large B-Cell, DiffuseMaleMicroarray AnalysisMiddle AgedPrognosisRetrospective StudiesChromosomal microarray analysisCLL/SLLRichter transformation

Identifiers

PMID34808593
PMCPMC10084781
OpenAlexW3209905777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.