Evidence map›Paper›PMID 42490363›Full record

ArticleTechnology in cancer research & treatment

Integrating Multi-Omics Mendelian Randomization and Functional Validation to Identify Novel Apoptosis Regulators in Follicular Lymphoma.

Bin Zhu, Suli Wang, Wenli Zhao

Abstract read
In one paragraph

Article in Technology in cancer research & treatment. 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
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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

3 authors.

Bin ZhuDepartment of Hematology, The Sixth People's Hospital Affiliated to Shanghai Jiaotong University South Branch, Shanghai Fengxian District Central Hospital, Shanghai, China.
Suli WangDepartment of Hematology, The Sixth People's Hospital Affiliated to Shanghai Jiaotong University South Branch, Shanghai Fengxian District Central Hospital, Shanghai, China.
Wenli ZhaoDepartment of Hematology, The Sixth People's Hospital Affiliated to Shanghai Jiaotong University South Branch, Shanghai Fengxian District Central Hospital, Shanghai, China.ORCID 0009-0006-4836-9343

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

IntroductionDysregulation of apoptosis is a hallmark of follicular lymphoma (FL), yet the causal genetic drivers remain incompletely understood. This study aimed to identify causal apoptosis-related genes in FL and validate their functional roles.MethodsWe conducted a multi-omics Mendelian randomization (MR) study, integrating summary statistics from a large-scale FL genome-wide association study with data on methylation (mQTL), expression (eQTL), and protein (pQTL) quantitative trait loci. Summary data-based MR (SMR) and colocalization analyses were used to identify candidate causal genes. Independent external transcriptomic cohorts were utilized to validate the gene correlations, and evaluate the clinical prognostic relevance of the identified candidates. Key findings were then validated in FL patient tissues using RT-qPCR, and the functional role and downstream molecular mechanisms of the top candidate gene were systematically characterized through

Indexed as

ApoptosisApoptosis Regulatory ProteinsBiomarkers, TumorLymphoma, FollicularCell Line, TumorDNA MethylationGene Expression ProfilingGene Expression Regulation, NeoplasticGenome-Wide Association StudyGenomicsHumansPrognosisQuantitative Trait LociApoptosis Regulatory ProteinsBiomarkers, Tumorapoptosisfollicular lymphomaIER3IP1mendelian randomizationmulti-omicsrituximab resistance

Identifiers

PMID42490363
PMCPMC13396582

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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.