Evidence map›Paper›PMID 37852254›Full record

ArticleCell reports methods2023

Hema-seq reveals genomic aberrations in a rare simultaneous occurrence of hematological malignancies.

Dajeong Jeong, Amos C Lee, Kyoungseob Shin, Jinhyun Kim, Myoung Hee Ham, Changhee Lee, Sumin Lee, Ahyoun Choi, Taehoon Ryu, Okju Kim and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
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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

13 authors at 4 institutions in 2 countries.

Dajeong JeongDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.
Amos C LeeBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea; Meteor Biotech Co., Ltd., Seoul 08826, Republic of Korea.
Kyoungseob ShinDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Jinhyun KimDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Myoung Hee HamDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea.
Changhee LeeDepartment of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Sumin LeeMeteor Biotech Co., Ltd., Seoul 08826, Republic of Korea; Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea.
Ahyoun ChoiInterdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea.
Taehoon RyuATG Lifetech, Inc., Seoul 08507, Republic of Korea.
Okju KimATG Lifetech, Inc., Seoul 08507, Republic of Korea.
Yushin JungATG Lifetech, Inc., Seoul 08507, Republic of Korea.
Sunghoon KwonBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea; Department of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Republic of Korea; Interdisciplinary Program in Bioengineering, Seoul National University, Seoul 08826, Republic of Korea; Institutes of Entrepreneurial BioConvergence, Seoul National University, Seoul 08826, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea. Electronic address: skwon@snu.ac.kr.
Dong Soon LeeDepartment of Laboratory Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea; Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea. Electronic address: soonlee@snu.ac.kr.
Seoul National University · KRGL PharmTech (South Korea) · KRKorea Meteorological Administration · KRSeoul National University Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Co-occurrence of multiple myeloma and acute myelogenous leukemia is rare, with both malignancies often tracing back to multipotent hematopoietic stem cells. Cytogenetic techniques are the established baseline for diagnosis and characterization of complex hematological malignancies. In this study, we develop a workflow called Hema-seq to delineate clonal changes across various hematopoietic lineages through the integration of whole-genome sequencing, copy-number variations, cell morphology, and cytogenetic aberrations. In Hema-seq, cells are selected from Wright-stained slides and fluorescent probe-stained slides for sequencing. This technique therefore enables direct linking of whole-genome sequences to cytogenetic profiles. Through this method, we mapped sequential clonal alterations within the hematopoietic lineage, identifying critical shifts leading to myeloma and acute myeloid leukemia (AML) cell formations. By synthesizing data from each cell lineage, we provided insights into the hematopoietic tree's clonal evolution. Overall, this study highlights Hema-seq's capability in deciphering genomic heterogeneity in complex hematological malignancies, which can enable better diagnosis and treatment strategies.

Indexed as

Hematologic NeoplasmsLeukemia, Myeloid, AcuteMultiple MyelomaChromosome AberrationsCytogenetic AnalysisGenomicsHumansCP: Cancer biologyCP: Genetics

Identifiers

PMID37852254
PMCPMC10626221
OpenAlexW4387709148

What OpenQuestion holds

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Registered trials

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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.