Evidence map›Paper›PMID 34166375›Full record

ArticlePloS one2021

Survival prediction based on the gene expression associated with cancer morphology and microenvironment in primary central nervous system lymphoma.

Yasuo Takashima, Atsushi Kawaguchi, Junya Fukai, Yasuo Iwadate, Koji Kajiwara, Hiroaki Hondoh, Ryuya Yamanaka

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 15 citations in OpenAlex.

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  14. Development of a contacting transwell co-culture system for theFrontiers in cell and developmental biology · 2023
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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 at 6 institutions in 1 country.

Yasuo TakashimaOsaka Iseikai Clinic for Cancer Therapy, Iseikai Holonics Group, Osaka, Japan.ORCID 0000-0001-8876-6673
Atsushi KawaguchiFaculty of Medicine, Center for Comprehensive Community Medicine, Saga University, Saga, Japan.
Junya FukaiDepartment of Neurological Surgery, Wakayama Medical University School of Medicine, Wakayama, Japan.
Yasuo IwadateDepartment of Neurosurgery, Graduate School of Medical Sciences, Chiba University, Chiba, Japan.
Koji KajiwaraDepartment of Neurosurgery, Graduate School of Medical Sciences, Yamaguchi University, Ube, Yamaguchi, Japan.
Hiroaki HondohDepartment of Neurosurgery, Toyama Prefectural Central Hospital, Toyama, Japan.
Ryuya YamanakaOsaka Iseikai Clinic for Cancer Therapy, Iseikai Holonics Group, Osaka, Japan.ORCID 0000-0003-2941-7996
Kyoto Prefectural University of Medicine · JPChiba University · JPSaga University · JPToyama Prefectural Central Hospital · JPWakayama Medical University · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dysregulation of cell morphology and cell-cell interaction results in cancer cell growth, migration, invasion, and metastasis. Besides, a balance between the extracellular matrix (ECM) and matrix metalloprotease (MMP) is required for cancer cell morphology and angiogenesis. Here, we determined gene signatures associated with the morphology and microenvironment of primary central nervous system lymphoma (PCNSL) to enable prognosis prediction. Next-generation sequencing (NGS) on 31 PCNSL samples revealed gene signatures as follows: ACTA2, ACTR10, CAPG, CORO1C, KRT17, and PALLD in cytoskeleton, CDH5, CLSTN1, ITGA10, ITGAX, ITGB7, ITGA8, FAT4, ITGAE, CDH10, ITGAM, ITGB6, and CDH18 in adhesion, COL8A2, FBN1, LAMB3, and LAMA2 in ECM, ADAM22, ADAM28, MMP11, and MMP24 in MMP. Prognosis prediction formulas with the gene expression values and the Cox regression model clearly divided survival curves of the subgroups in each status. Furthermore, collagen genes contributed to gene network formation in glasso, suggesting that the ECM balance controls the PCNSL microenvironment. Finally, the comprehensive balance of morphology and microenvironment enabled prognosis prediction by a combinatorial expression of 8 representative genes, including KRT17, CDH10, CDH18, COL8A2, ADAM22, ADAM28, MMP11, and MMP24. Besides, these genes could also diagnose PCNSL cell types with MTX resistances in vitro. These results would not only facilitate the understanding of biology of PCNSL but also consider targeting pathways for anti-cancer treatment in personalized precision medicine in PCNSL.

Indexed as

Tumor MicroenvironmentBiomarkers, TumorCentral Nervous System NeoplasmsGene Expression ProfilingGene Expression Regulation, NeoplasticHigh-Throughput Nucleotide SequencingHumansLymphoma, Non-HodgkinPrognosisSurvival RateTumor Cells, CulturedBiomarkers, Tumor

Identifiers

PMID34166375
PMCPMC8224980
OpenAlexW3177381991

What OpenQuestion holds

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LicenceCC BY
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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.