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Effect of PIMREG Expression on Prognosis in Glioma Patients: A Meta-Analysis

2024· article· en· W4407291840 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Biological Regulators and Homeostatic Agents/Journal of Biological Regulators & Homeostatic Agents · 2024
Typearticle
Languageen
FieldMedicine
TopicCancer Mechanisms and Therapy
Canadian institutionsnot available
FundersScience and Technology Plan Project of Taizhou
KeywordsMeta-analysisGliomaExpression (computer science)OncologyInternal medicineMedicineCancer researchBiologyComputational biologyComputer science

Abstract

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Background: The phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) is highly expressed in osteosarcoma, cholangiocarcinoma, breast cancer, pancreatic cancer, and other cancer types, with its high expression being associated with poor cancer survival. At the same time, some studies have explored the association between PIMREG expression and glioma, but the results are controversial. Therefore, this study aimed to conduct a meta-analysis to systematically evaluate the effect of PIMREG expression on the prognosis of glioma patients. Methods: The relevant literature published in English was accessed through various databases, including PubMed, Embase, Web of Science, and The Cochrane Library from September 2023. The research articles were screened based on the predetermined inclusion and exclusion criteria. The quality of the literature was assessed using the Newcastle-Ottawa Scale (NOS). Furthermore, hazard ratio (HR) and its corresponding 95% confidence interval (CI) for overall survival (OS) were either directly obtained from the original sources or derived from the Kaplan-Meier survival graphs using Engauge Digitizer 4.3. STATA 15.0 was selected for meta-analysis. Moreover, sensitivity analysis was performed to evaluate the stability of the included studies. Additionally, the Begg rank correlation method and Egger regression method were employed to evaluate the publication bias of the included literature. Results: Following a thorough screening process, 6 research articles were included in this study. Meta-analysis results showed that patients with high PIMREG expression had poorer OS (HR = 2.77, 95% CI: 1.83–3.71). The subgroup analysis revealed that the HR of OS was 2.32 (95% CI: 1.59–3.06) in the Asian population and 3.12 (95% CI: 0.80–5.44) in the non-Asian population. In subgroups of tumor types, the HR for OS was 2.71 (95% CI: 1.88–3.54) for patients with glioma type and 2.60 (95% CI: 0.87–4.34) for those with glioblastoma type. Furthermore, sensitivity analysis revealed that the stability of the included studies was good. Begg and Egger tests showed that in the meta-analysis, publication bias of the included literature was not significant ( p = 0.630). Conclusion: The high expression of PIMREG is associated with poor prognosis of glioma patients, indicating its application as a potential prognostic indicator for these patients.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.306
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.329
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it