Evidence map›Paper›PMID 35220891›Full record

ArticleBioengineered2022

A comparison of capillary electrophoresis and next-generation sequencing in the detection of immunoglobulin heavy chain H and light chain κ gene rearrangements in the diagnosis of classic hodgkin's lymphoma.

Juan-Juan Zhang, Yu-Xin Xie, Li-Lin Luo, Xuan-Tao Yang, Yi-Xing Wang, Yue Cao, Zheng-Bo Long, Wan-Pu Wang

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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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

8 authors at 1 institution in 1 country.

Juan-Juan ZhangDepartment of Pathology, The First People's Hospital of Yunnan Province.
Yu-Xin XieThe Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Li-Lin LuoDepartment of Pathology, The First People's Hospital of Yunnan Province.
Xuan-Tao YangDepartment of Pathology, The First People's Hospital of Yunnan Province.
Yi-Xing WangDepartment of Pathology, The First People's Hospital of Yunnan Province.
Yue CaoThe Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Zheng-Bo LongThe Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Wan-Pu WangDepartment of Pathology, The First People's Hospital of Yunnan Province.
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare the application value of capillary electrophoresis and next-generation sequencing for immunoglobulin (IG) gene rearrangement in the diagnosis of classic Hodgkin's lymphoma. Twenty paraffin-embedded specimens from patients with classic Hodgkin's lymphoma were screened. For gene rearrangement detection, the ABI 3500 Genetic Analyzer and ABI Ion GeneStudio S5 Plus sequencing system were used, respectively, and the results were compared. Five cases with monoclonal rearrangements (25%, 5/20) were detected by Capillary Electrophoresis, and positivity for the FR1, FR2, FR3, and IGк loci was 5%, 10%, 10%, and 15%, respectively; 12 cases with monoclonal rearrangements (60%, 12/20) were detected by Next-generation Sequencing where the positivity of the above corresponding loci were 35%, 45%, 50%, and 30%, respectively. Among the 20 samples, 6 IGк clonal rearrangements were detected, and the usage frequency (66.7%) of IGкJ4 was the highest in the IGкJ subgroup. The usage frequency of IGкV1 and IGкV3 in the GкV sub-group was 33.3% and 33.3%, respectively. Twelve immunoglobulin heavy chain (IGH) clonal rearrangements were detected among the 20 samples, and the order of usage frequency in the IGH joining region J (IGHJ) subgroup was IGHJ4 > IGHJ5 > IGHJ6 > IGHJ3. The gene with the highest usage frequency in the IGH variable (IGHV) subgroup was IGHV3 (50%) and the percentage of IGHV mutations ranged from 0% ± 11.45% with an average frequency of 3.34%. Compared with Capillary Electrophoresis, Next-generation Sequencing showed a higher positivity in the detection of gene clonal rearrangements, was more accurate in the interpretation of results.

Indexed as

Hodgkin DiseaseImmunoglobulin Heavy ChainsElectrophoresis, CapillaryGene RearrangementHigh-Throughput Nucleotide SequencingHumansImmunoglobulin Heavy ChainsCapillary electrophoresisclassic hodgkin’s lymphomagene rearrangementnext-generation sequencing

Identifiers

PMID35220891
PMCPMC8973983
OpenAlexW4214569444

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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.