Evidence map›Paper›PMID 42677327›Full record

ArticleFrontiers in genetics2026

Comprehensive analysis of SYTL4 differential expression and clinical implications in DLBCL.

Yue Li, Qiqi Zhou

Abstract read
In one paragraph

Article in Frontiers in genetics, 2026. 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
–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

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

2 authors.

Yue LiDepartment of Cardio-Pulmonary Function, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
Qiqi ZhouDepartment of Cardio-Pulmonary Function, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffuse large B-cell lymphoma (DLBCL), a common type of non-Hodgkin lymphoma (NHL), is associated with heterogeneous clinical outcomes, with a subset of patients experiencing refractory disease or relapse, underscoring the need for novel biomarkers to refine risk stratification. This study aimed to investigate the biological role and clinical significance of synaptotagmin-like 4 (SYTL4) in DLBCL. Methods: RNA-seq data from TCGA and GTEx were normalized (TPM) and log2-transformed. Survival analysis stratified patients based on the median SYTL4 expression level (cutoff = 0.304), with Kaplan-Meier curves and Cox regression analysis performed. Differentially expressed genes (|log2FC|>1, FDR<0.05) underwent functional annotation (GOKEGG, GSEA) and PPI network constructed. Immune infiltration was assessed via ssGSEA. Formalin-fixed paraffin-embedded (FFPE) tissue blocks from testicular DLBCL patients were obtained. A tissue microarray was constructed. Immunohistochemistry with anti-SYTL4 antibody was performed, and digital images were scored semi-quantitatively (0-3+) by two pathologists. Results: RNA-seq analysis revealed a significant upregulation of SYTL4 expression in DLBCL patients compared to healthy donors, observed in both tissue and peripheral blood samples, a finding further validated by immunohistochemical staining. Survival analysis revealed that elevated SYTL4 expression was correlated with an unfavorable prognosis (P = 0.037), and multivariate Cox regression confirmed that high SYTL4 expression was an independent prognostic factor (HR = 25.541, P = 0.017). Differential gene screening identified 1,074 differentially expressed genes, including 628 upregulated genes and 446 downregulated genes. Enrichment analysis revealed a significant association of SYTL4-related genes with pathways involved in cell-cell adhesion and the immune response. Protein‒protein interaction (PPI) network analysis revealed interactions between SYTL4 and key regulators such as phosphatase and actin regulator 2 (PHACTR2), suggesting its potential role in DLBCL progression. Conclusion: These findings highlight the potential of SYTL4 as a promising diagnostic marker, prognostic biomarker, and therapeutic target. Further exploration of its applicability in immunotherapy may lead to the development of personalized treatment strategies for DLBCL patients.

Indexed as

DLBCLprognostic biomarkerRNA-seqSYTL4TMA

Identifiers

PMID42677327
PMCPMC13529292

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.