Evidence map›Paper›PMID 39691244›Full record

ArticleEJHaem2024

Association between microenvironment-related genes and prognosis of primary central nervous system lymphoma.

Keiichiro Hattori, Kenichi Makishima, Sakurako Suma, Yoshiaki Abe, Yasuhito Suehara, Tatsuhiro Sakamoto, Naoki Kurita, Ryota Ishii, Ryota Matsuoka, Masahide Matsuda and 13 more

Abstract read
In one paragraph

Article in EJHaem, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

23 authors.

Keiichiro HattoriDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.ORCID https://orcid.org/0000-0002-0810-7887
Kenichi MakishimaDepartment of Hematology University of Tsukuba Hospital Tsukuba Japan.
Sakurako SumaDepartment of Hematology University of Tsukuba Hospital Tsukuba Japan.
Yoshiaki AbeDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.ORCID https://orcid.org/0000-0002-1021-7911
Yasuhito SueharaDepartment of Hematology University of Tsukuba Hospital Tsukuba Japan.
Tatsuhiro SakamotoDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.ORCID https://orcid.org/0000-0001-6852-0721
Naoki KuritaDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.
Ryota IshiiDepartment of Biostatistics Institute of Medicine University of Tsukuba Tsukuba Japan.
Ryota MatsuokaDepartment of Pathology Institute of Medicine University of Tsukuba Tsukuba Japan.
Masahide MatsudaDepartment of Neurosurgery Institute of Clinical Medicine University of Tsukuba Tsukuba Japan.
Takao TsurubuchiDepartment of Neurosurgery Institute of Clinical Medicine University of Tsukuba Tsukuba Japan.
Ryo NishikawaDepartment of Neuro-Oncology/Neurosurgery Saitama Medical University International Medical Center Saitama Japan.
Shota TanakaDepartment of Neurosurgery Graduate School of Medicine The University of Tokyo Tokyo Japan.
Akitake MukasaDepartment of Neurosurgery Graduate School of Medical Sciences Kumamoto University Kumamoto Japan.
Yoshitaka NaritaDepartment of Neurosurgery and Neuro-Oncology National Cancer Center Hospital Tokyo Japan.
Koichi IchimuraDepartment of Brain Disease Translational Research Juntendo University Graduate School of Medicine Tokyo Japan.
Motoo NaganeDepartment of Neurosurgery Kyorin University Faculty of Medicine Tokyo Japan.
Shingo TakanoDepartment of Neurosurgery Institute of Clinical Medicine University of Tsukuba Tsukuba Japan.
Bryan J MathisDepartment of Cardiovascular Surgery Institute of Medicine University of Tsukuba Tsukuba Japan.
Eiichi IshikawaDepartment of Neurosurgery Institute of Clinical Medicine University of Tsukuba Tsukuba Japan.
Daisuke MatsubaraDepartment of Pathology Institute of Medicine University of Tsukuba Tsukuba Japan.
Shigeru ChibaDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.ORCID https://orcid.org/0000-0001-7803-7338
Mamiko Sakata-YanagimotoDepartment of Hematology Institute of Medicine University of Tsukuba Tsukuba Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Primary central nervous system lymphoma (PCNSL) is a rare lymphoid malignancy. Systemic profiling of the PCNSL tumor microenvironment (TME) was previously conducted through gene expression analysis. We investigated the prognostic impact of TME on survival to establish novel prognostic biomarkers in PCNSL patients. Methods: We analyzed expression levels of 770 neuroinflammation-related (NFR) genes via NanoString nCounter technology in tumor samples from 30 PCNSL patients. Genes related to the "recurrence group (RG)" or "non-recurrence group (NRG)" were identified and validated using whole transcriptomic analysis of an independent PCNSL cohort ( Results: Forty-five of 770 NFR genes were highly expressed in the RG (3-year overall survival (OS, 22.2%), compared with the NRG group (3-year OS 66.7%). Signatures related to glial cells were enriched in the RG-associated gene set. Multivariate analysis revealed that high expressions of Conclusion: These data suggest that TME-related genes play a crucial role in the pathogenesis of PCNSL, complementing the well-known involvement of the NF-kB signaling pathway. TME targeting, especially glial cell-specific proteins, may thus open new and complementary avenues of therapy for all stages of PCNSL.

Indexed as

GliosisPrimary central nervous system lymphomaTumor microenvironment in central nervous system

Identifiers

PMID39691244
PMCPMC11647707

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.