Evidence map›Paper›PMID 26597680›Full record

ArticleBritish journal of haematology2016

Inter- and intra-patient clonal and subclonal heterogeneity of chronic lymphocytic leukaemia: evidences from circulating and lymph nodal compartments.

Ilaria Del Giudice, Marilisa Marinelli, Jiguang Wang, Silvia Bonina, Monica Messina, Sabina Chiaretti, Caterina Ilari, Luciana Cafforio, Sara Raponi, Francesca Romana Mauro and 9 more

Open access · bronzeAbstract readMulticenter Study
In one paragraph

Article in British journal of haematology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 23 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 2 countries.

Ilaria Del Giudice *Division of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Marilisa Marinelli *Division of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Jiguang Wang *Department of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University, New York, US.
Silvia BoninaDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Monica MessinaDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Sabina ChiarettiDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Caterina IlariDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Luciana CafforioDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Sara RaponiDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Francesca Romana MauroDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Valeria Di MaioDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Maria Stefania De ProprisDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Mauro NanniDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Carmela CiardulloDivision of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.
Davide RossiDivision of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.
Gianluca GaidanoDivision of Haematology, Department of Translational Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy.
Anna GuariniDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Raul RabadanDepartment of Biomedical Informatics, Center for Computational Biology and Bioinformatics, Columbia University, New York, US.
Robin FoàDivision of Haematology, Department of Cellular Biotechnologies and Haematology, Sapienza University, Rome, Italy.
Sapienza University of Rome · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITColumbia University · US

Funding

Nation Center: Multi-Scale Study- Cellular Networks(RMI)U54CA121852 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2005 to 2015
$37.4M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Computational analysis of Human High Grade GliomasR01NS061776 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO · 2009 to 2013
$2.4M
Identification and modeling of driver genetic modules in glioblastomaR01CA179044 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI IAVARONE, ANTONIO, RABADAN, RAUL · 2014 to 2018
$2.3M
(PQB5) Reconstruction of Evolutionary Networks using Cross-Sectional Genomic DataR01CA185486 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LASORELLA, ANNA, RABADAN, RAUL · 2014 to 2017
$2.1M
Uncovering Evolutionary History using the Topology of Genomic Data with Applications to HIVR01GM117591 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI RABADAN, RAUL · 2015 to 2018
$1.3M
NCATS NIH HHS UL1 TR000040NCI NIH HHS 1R01CA179044-01A1NCI NIH HHS 1R01CA185486-01NCI NIH HHS 1U54 CA121852-05NCI NIH HHS R01 CA179044NCI NIH HHS R01 CA185486NCI NIH HHS U54 CA121852NIGMS NIH HHS R01 GM117591NINDS NIH HHS R01 NS061776NINDS NIH HHS R01NS061776
6 · The paper itself

Abstract

Whole exome sequencing and copy number aberration (CNA) analysis were performed on cells taken from peripheral blood (PB) and lymph nodes (LN) of patients with chronic lymphocytic leukaemia (CLL). Of 64 non-silent somatic mutations, 54 (84·4%) were clonal in both compartments, 3 (4·7%) were PB-specific and 7 (10·9%) were LN-specific. Most of the LN- or PB-specific mutations were subclonal in the other corresponding compartment (variant frequency 0·5-5·3%). Of 41 CNAs, 27 (65·8%) were shared by both compartments and 7 (17·1%) were LN- or PB-specific. Overall, 6 of 9 cases (66·7%) showed genomic differences between the compartments. At subsequent relapse, Case 10, with 6 LN-specific lesions, and Case 100, with 6 LN-specific and 8 PB-specific lesions, showed, in the PB, the clonal expansion of LN-derived lesions with an adverse impact: SF3B1 mutation, BIRC3 deletion, del8(p23·3-p11·1), del9(p24·3-p13·1) and gain 2(p25·3-p14). CLL shows an intra-patient clonal heterogeneity according to the disease compartment, with both LN and PB-specific mutations/CNAs. The LN microenvironment might contribute to the clonal selection of unfavourable lesions, as LN-derived mutations/CNAs can appear in the PB at relapse.

Indexed as

MutationAdultAgedBiopsyClonal EvolutionDNA Copy Number VariationsDNA, NeoplasmExomeFemaleHumansLeukemia, Lymphocytic, Chronic, B-CellLymph NodesMaleMiddle AgedNeoplastic Stem CellsRecurrenceDNA, Neoplasmchronic lymphocytic leukaemiacopy number aberrationslymph noderelapsewhole exome sequencing

Identifiers

PMID26597680
PMCPMC4732889
OpenAlexW2176960351

What OpenQuestion holds

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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.