Evidence map›Paper›PMID 39253064›Full record

ArticleCancer management and research2024

Key Cell-in-Cell Related Genes are Identified by Bioinformatics and Experiments in Glioblastoma.

Fenglin Zhang, Jingliang Ye, Junle Zhu, Wenbo Qian, Haoheng Wang, Chun Luo

Abstract read
In one paragraph

Article in Cancer management and research, 2024. 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
–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

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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.

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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

6 authors.

Fenglin Zhang *Department of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Jingliang Ye *Department of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Junle ZhuDepartment of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Wenbo QianDepartment of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Haoheng WangDepartment of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.
Chun LuoDepartment of Neurosurgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to explore the roles of cell-in-cell (CIC)-related genes in glioblastoma (GBM) using bioinformatics and experimental strategies. Patients and Methods: The ssGSEA algorithm was used to calculate the CIC score for each patient. Subsequently, differentially expressed genes (DEGs) between the CIC Results: In the current study, we found that CIC score Conclusion: We identified novel CIC-related genes and built a reliable prognostic prediction model for GBM, which will provide further basic clues for studying the exact molecular mechanisms of GBM pathogenesis from a CIC perspective.

Indexed as

bioinformaticscell-in-cellglioblastomaprognosis

Identifiers

PMID39253064
PMCPMC11382672

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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.