Evidence map›Paper›PMID 39639038›Full record

ArticleScientific reports2024

Integrative analysis of a novel immunogenic PANoptosis‑related gene signature in diffuse large B-cell lymphoma for prognostication and therapeutic decision-making.

Ming Xu, Ming Ruan, Wenhua Zhu, Jiayue Xu, Ling Lin, Weili Li, Weirong Zhu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Role of PANoptosis in cancer: Molecular mechanisms and therapeutic opportunities.Apoptosis : an international journal on programmed cell death · 2025
    Review
  5. Article
  6. Review
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.

Ming Xu *Department of Traditional Chinese Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming Ruan *Department of Traditional Chinese Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenhua ZhuDepartment of Traditional Chinese Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiayue XuDepartment of Traditional Chinese Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ling LinZhangjiang Center for Translational Medicine, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, China.
Weili LiZhangjiang Center for Translational Medicine, Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai, China. Vera_well4@hotmail.com.
Weirong ZhuDepartment of Traditional Chinese Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. willonzhu@163.com.

Funding

Shanghai Municipal Health Commission ZY(2021-2023)-0205-01Shanghai science and technology innovation action plan 21S21902300Zhejiang province traditional Chinese medicine science and technology plan 2023ZL723
6 · The paper itself

Abstract

This study aimed to develop a PANoptosis-related gene prognostic index (PANGPI) to explore its potential value in predicting the prognosis and immunotherapy response of diffuse large B-cell lymphoma (DLBCL). Differentially expressed genes of DLBCL from GEO databases were analyzed and mapped to the PANoptosis gene set. The independent prognostic value of the PANGPI signature was evaluated using LASSO Cox regression and multivariate Cox regression. Additionally, the tumor infiltrating lymphocyte (TIL) characteristics and mutation landscape of both subgroups were evaluated, and drug sensitivity was predicted using the GDSC database. Furthermore, in silico docking and molecular dynamic simulation studies were presented to elucidate the mode of interaction of these predicted drugs. The PANGPI risk score was an independent risk factor for the prognosis of patients with DLBCL and exhibited good prognostic predictive performance. Furthermore, the cytolytic activity of the TILs was positively correlated with the PANGPI scores. Additionally, the PANGPI enabled the identification of 3 chemotherapeutic agents, including BMS-536924, Gefitinib, Navitoclax for DLBCL patients in the high-risk group. We established a novel PANoptosis-related gene subtyping system in DLBCL, which could shed a novel light on the development of new biomarkers for DLBCL.

Indexed as

Gene Expression Regulation, NeoplasticLymphoma, Large B-Cell, DiffuseAntineoplastic AgentsBiomarkers, TumorClinical Decision-MakingFemaleGene Expression ProfilingHumansLymphocytes, Tumor-InfiltratingMalePrognosisTranscriptomeAntineoplastic AgentsBiomarkers, TumorDiffuse large B-cell lymphomaDrug sensitivityPANoptosisPrognostic indexTumor infiltrating lymphocyte

Identifiers

PMID39639038
PMCPMC11621545

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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.