Evidence map›Paper›PMID 37576233›Full record

ArticleHeliyon2023

Immune infiltration and drug specificity analysis of different subtypes based on functional status in angioimmunoblastic T-cell lymphoma.

Shicong Zhu, Yan Zhao, Cheng Xing, Wancheng Guo, Zineng Huang, Huifang Zhang, Le Yin, Xueqin Ruan, Heng Li, Zhao Cheng and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2023. 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
0.3field-weighted citation impact, top 39% of its field
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 citations in OpenAlex.

  1. 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

12 authors at 2 institutions in 1 country.

Shicong ZhuDepartment of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China.
Yan ZhaoDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Cheng XingDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Wancheng GuoDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Zineng HuangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Huifang ZhangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Le YinDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Xueqin RuanDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Heng LiDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Zhao ChengDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Zhihua WangDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Hongling PengDepartment of Hematology, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, China.
Second Xiangya Hospital of Central South University · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angioimmunoblastic T-cell lymphoma (AITL) is a subtype of peripheral T-cell lymphoma (PTCL) strongly correlated with worse clinical outcomes. However, the role of characteristic pathway-related genes in patients with AITL (e.g., subtype typing and pathogenesis) remains unknown. In this study, we intended to understand the potential role and prognostic value of characteristic pathways in AITL and identified a model for subtype identification based on pathway-related functional status. Transcriptomic (RNA-seq) data were obtained from the Gene Expression Omnibus database for three sets of tumor tissues from AITL patients. AITL was divided into three clusters based on the pathway profile of patients and the best clustering k = 3, and differentially expressed genes (DEGs) in the three clusters were analyzed. The top 45 important variables associated with characteristic pathways, such as Huntington's disease, VEGF signaling pathway, nucleotide excision repair, ubiquitin-mediated proteolysis, purine metabolism, olfactory transduction, etc., were used to construct a subtype identification model. The model was experimentally validated and proved to possess good predictive efficacy. In addition, pathway-related subtype typing was significantly associated with different immune cell infiltration in AITL. Further analysis revealed that the drug IC

Indexed as

Angioimmunoblastic T-cell lymphomaImmune infiltrationPathwaysSpecific drugsSubtype typing model

Identifiers

PMID37576233
PMCPMC10412840
OpenAlexW4385407675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.