Evidence map›Paper›PMID 39643631›Full record

ArticleCommunications biology2024

Genomic differences of patients with hematologic malignancies in different age groups.

Xiaodi Yang, Qian Wang, Yuhua Sun, Ziding Zhang, Stefan Wuchty, Zeyin Liang, Yujun Dong

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

Xiaodi Yang *Department of Hematology, Peking University First Hospital, Beijing, China.ORCID 0000-0002-3229-5865
Qian Wang *Department of Hematology, Peking University First Hospital, Beijing, China.
Yuhua Sun *Department of Hematology, Peking University First Hospital, Beijing, China.
Ziding ZhangCollege of Biological Sciences, China Agricultural University, Beijing, China.ORCID 0000-0002-9296-571X
Stefan WuchtyDepartment of Computer Science, University of Miami, Miami, FL, USA.ORCID 0000-0001-8916-6522
Zeyin LiangDepartment of Hematology, Peking University First Hospital, Beijing, China. walzyaw@163.com.ORCID 0009-0006-9884-5846
Yujun DongDepartment of Hematology, Peking University First Hospital, Beijing, China. dongy@hsc.pku.edu.cn.ORCID 0000-0002-7935-6194

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematologic malignancies cause significant morbidity/mortality in both children and young adults (CYAs) as well as older adults (OAs). Yet their biological underpinnings remain inadequately understood. Here, we analyzed clinical and genomic disparities between CYAs and OAs in various hematologic malignancies. We found substantial differences in clinical features such as patient sex, ethnicity, metastasis rates, and tumor subtypes. Genomically, most CYA hematologic malignancies indicated lower mutational burden. Subsequently, we identified differentially mutated genes (DMGs) with varying mutation rates between CYAs and OAs, noting fewer mutations in CYAs for most genes such as TP53, TET2, and DNMT3A. In contrast, several DMGs (i.e., NRAS, KRAS, SMARCA4, ID3, PTPN11, WT1, and KIT) were overrepresented in CYAs. We further investigated human protein interacting partners of these identified DMGs that were highly mutated in CYAs/OAs, respectively, and found significant differences in network topological and functional roles. Notably, CYA malignancies demonstrated extensive copy number alterations (CNAs) and more driver gene fusions. In particular, four CNA differential genes (i.e., ARID1B, MYB, TP53, and ESR1) were overrepresented as amplifications and deletions in CYAs and OAs, respectively. Ultimately, we demonstrated a landscape comparative view of clinically actionable genetic events in CYAs and OAs, providing clues for age-related personalized treatment.

Indexed as

Hematologic NeoplasmsMutationAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolDNA Copy Number VariationsFemaleGenomicsHumansMaleMiddle AgedYoung Adult

Identifiers

PMID39643631
PMCPMC11624270

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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.