Evidence map›Paper›PMID 33244317›Full record

ArticleFrontiers in genetics2020

Prognostic and Predictive Value of an Immunoscore Signature in Glioblastoma Multiform.

Xiangjun Tang, Pengfei Xu, Ann Chen, Gang Deng, Shenqi Zhang, Lun Gao, Longjun Dai, Qianxue Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Xiangjun TangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Pengfei XuThe Seventh Affiliated Hospital of Sun Yat-sun University, Guangzhou, China.
Ann ChenDepartment of Biomedical Engineering, Yale University, New Haven, CT, United States.
Gang DengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Shenqi ZhangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Lun GaoDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Longjun DaiDepartment of Neurosurgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Qianxue ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Renmin Hospital of Wuhan University · CNTaihe Hospital · CNThe Seventh Affiliated Hospital of Sun Yat-sen University · CNYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough increasing evidence shows that immune infiltration plays an essential role in glioblastoma (GBM), current prognostic indicators do not accurately represent the risk of immune cells infiltration in patients. It is therefore critical to identify new prognostic markers for GBM. Here, we investigated the effectiveness of using immunoscore to improve risk stratification and prediction of prognosis in GBM patients receiving chemotherapy.

methodsUsing mRNA microarrays and CIBERSORT, we analyzed 22 types of immune cell fractions in 517 GBM samples and characterized an immunoscore using the least absolute shrinkage and selection operator (LASSO) Cox regression model based on the fraction of immune cell types and patients' overall survival. The prognostic and predictive accuracy of immunoscore was verified in the validation cohort and the entire cohort.

resultsUsing the LASSO model, an immunoscore was developed to classify patients into High and Low immunoscore groups in the training cohort (

conclusionImmunoscore, an immune-infiltration-based signature, is a reliable prognostic and predictive tool for GBM.

Indexed as

chemotherapyglioblastoma multiformimmunoscorepredictiveprognostic

Identifiers

PMID33244317
PMCPMC7684008
OpenAlexW3104817578

What OpenQuestion holds

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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.