Evidence map›Paper›PMID 39820428›Full record

SynthesisAnnals of hematology2025

Genetic alterations and their prognostic impact in marginal zone lymphoma: a meta-analysis.

Xijing Li, Yang Lin, Licai An

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Annals of hematology, 2025. 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

3 authors.

Xijing Li *Department of Pathology, Yantaishan Hospital, Yantai City, Shandong, 264003, China.
Yang Lin *Department of Hematology, Yantai Yuhuangding Hospital, No. 20 Yudong Road, Zhifu District, Yantai City, Shandong, 264000, China.
Licai AnDepartment of Hematology, Yantai Yuhuangding Hospital, No. 20 Yudong Road, Zhifu District, Yantai City, Shandong, 264000, China. anlicai123@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This meta-analysis aimed to assess the impact of genetic mutations, particularly in the NOTCH2 and TNFAIP3 genes, on the prognostic outcomes of Marginal Zone Lymphoma (MZL) patients. Databases, including PubMed, Embase, and Cochrane Library, were explored up to October 2023. A total of 11 studies encompassing 2,314 records were included. Outcome measures were 5-year overall survival rates (OSR), progression-free survival rates (PFSR), and tumor progression rates (TPR). NOTCH2 and TNFAIP3 mutations were prominently identified across studies. In splenic MZL (SMZL) patients with NOTCH2 mutations, there was a significant decrease in the 5-year OSR (SMD: -11.11, 95% CI: -13.39 to -8.84, P < 0.01) and PFSR (SMD: -23.49, 95% CI: -28.85 to -18.14, P < 0.01). Similarly, TNFAIP3 mutations in SMZL patients demonstrated diminished 5-year OSR (SMD: -14.78, 95% CI: -18.01 to -11.56, P < 0.01) and PFSR (SMD: -21.06, 95% CI: -27.13 to -14.98, P < 0.01). For ocular adnexal MZL (OA-MZL) patients with NOTCH2 mutations, the 5-year OSR significantly declined (SMD: -23.40, 95% CI: -28.87 to -17.93, P < 0.01). Genetic mutations, notably in NOTCH2 and TNFAIP3 genes, have discernable negative implications on the prognosis of MZL patients. Recognizing these genetic markers can guide more personalized therapeutic interventions and inform clinical prognosis.

Indexed as

Lymphoma, B-Cell, Marginal ZoneMutationReceptor, Notch2Tumor Necrosis Factor alpha-Induced Protein 3HumansPrognosisSurvival RateNOTCH2 protein, humanReceptor, Notch2TNFAIP3 protein, humanTumor Necrosis Factor alpha-Induced Protein 3Genetic alterationsMarginal zone lymphomaMeta-analysisPrognostic impact

Identifiers

PMID39820428
PMCPMC12031998

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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.