Evidence map›Paper›PMID 40315014›Full record

ArticleGenomics, proteomics & bioinformatics2022

Characterization of Chronic Lymphocytic Leukemia Immunoglobulin Rearrangements from Partial Read Sequencing.

Azahara Fuentes-Trillo, Alicia Serrano-Alcalá, Blanca Ferrer-Lores, Laura Ventura-López, Enrique Seda, Ana-Bárbara García-García, Blanca Navarro, María José Terol, Felipe Javier Chaves

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Azahara Fuentes-TrilloGenomic and Diabetes Unit, INCLIVA Biomedical Research Institute, Valencia 46010, Spain.ORCID 0000-0002-2889-9498
Alicia Serrano-AlcaláHematology Service, Valencia University Clinical Hospital, Valencia 46010, Spain.ORCID 0000-0002-3392-4336
Blanca Ferrer-LoresHematology Service, Valencia University Clinical Hospital, Valencia 46010, Spain.ORCID 0000-0001-9452-7310
Laura Ventura-LópezHematology Service, Valencia University Clinical Hospital, Valencia 46010, Spain.ORCID 0000-0002-7232-0252
Enrique SedaGenomic and Diabetes Unit, INCLIVA Biomedical Research Institute, Valencia 46010, Spain.ORCID 0000-0002-5801-1752
Ana-Bárbara García-GarcíaGenomic and Diabetes Unit, INCLIVA Biomedical Research Institute, Valencia 46010, Spain.ORCID 0000-0002-2162-6606
Blanca NavarroHematology Service, Valencia University Clinical Hospital, Valencia 46010, Spain.ORCID 0000-0002-3313-2654
María José TerolHematology Service, Valencia University Clinical Hospital, Valencia 46010, Spain.ORCID 0000-0002-9467-932X
Felipe Javier ChavesGenomic and Diabetes Unit, INCLIVA Biomedical Research Institute, Valencia 46010, Spain.ORCID 0000-0001-8009-3689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the mutational status in the immunoglobulin variable region is an established prognostic biomarker for chronic lymphocytic leukemia (CLL). The length and inner variability of the variable, diversity, and joining (VDJ) rearranged sequences compromise B-cell clone characterization using next-generation sequencing (NGS), and a standardization is needed to adapt the procedure to the current clinical guidelines. Here, we develop a complete strategy for sequencing the variable domain of the immunoglobulin heavy chain (IGH) locus with a simple, low-cost, and efficient method that enables sequencing using shorter reads (MiSeq 150 × 2), allowing for faster results. Clonality and mutational status determination are performed within the same analysis pipeline. We tested and validated the method using 319 CLL patients previously diagnosed with IGH locus characterized using Sanger sequencing, along with 47 healthy donor samples. The analysis method follows a clone-centered consensus sequence strategy to identify B-cell clones and establish a clonal threshold specific for each patient's clonality profile, thereby overcoming the limitations of Sanger sequencing which is the gold standard used for determining immunoglobulin heavy variable (IGHV) mutational status.

Indexed as

B cellChronic lymphocytic leukemiaIGH locusImmune repertoireNGS

Identifiers

PMID40315014
PMCPMC12536063

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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.