ArticleJournal of translational medicine2023
Integrated machine learning survival framework develops a prognostic model based on inter-crosstalk definition of mitochondrial function and cell death patterns in a large multicenter cohort for lower-grade glioma.
Article in Journal of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
143 citing papers in PubMed, 1 synthesis or guideline pooled it, 168 citations in OpenAlex.
- A Journey into the Complexity of Temporo-Insular Gliomas: Case Report and Literature Review.Current oncology (Toronto, Ont.) · 2025Pooled it
- Unveiling the role of air pollution in diabetic kidney disease: an integrated study combining network toxicology, machine learning, and Mendelian randomization.Renal failure · 2026Article
- Prognostic model construction and drug prediction in colorectal cancer using mitochondrial programmed cell death-related genes.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- NDUFAF2 promotes abdominal aortic aneurysm formation through mitochondrial dysfunction-induced apoptosis.iScience · 2026Article
- Article
- Entosis remodels the immune microenvironment of osteosarcoma by regulating macrophage polarization: An integrated study based on multi-omics data and in vitro experiments.Translational oncology · 2026Article
- Hypoxia-Driven Mechanisms in Ischemic Heart Failure: A Bioinformatics, Machine Learning and Bayesian Network Study.Cardiovascular toxicology · 2026Article
- Article
- Article
- Dissecting PCD-driven molecular landscapes in AML: a multi-omic framework for prognostication and therapeutic targeting.Clinical and experimental medicine · 2026Article
- Rv1983 promotes mycobacterial dissemination by triggering ferroptosis through GPX4 ubiquitination.Cellular & molecular biology letters · 2026Article
- A novel programmed-cell-death-related prognostic risk model for cervical cancer based on mitochondrial genes.Translational cancer research · 2026Article
- Integrated transcriptomic and metabolomic profiling reveals immune-metabolic crosstalk and predictive biomarkers of ligustrazine treatment response in idiopathic pulmonary fibrosis.Journal of translational medicine · 2026Article
- Integrative Single-Cell and Machine Learning Analysis Identifies an EMT-Associated Prognostic Signature for Papillary Thyroid Cancer.Cancer medicine · 2026Article
- Single-cell mapping of tumor-driven macrophage reprogramming via ETV4-MC1R underlies immunotherapy resistance in colorectal cancer.International journal of surgery (London, England) · 2026Article
- Single-Cell Transcriptomic Analysis of Chemotherapy-Induced Changes in Osteosarcoma With a Pyroptosis-Related Gene-Based Prognostic Model.Journal of cellular and molecular medicine · 2026Article
- Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.Scientific reports · 2026Article
- Palmatine ameliorates MASLD in type 2 diabetes by modulating hepatic apoptosis and inflammation.Scientific reports · 2026Article
- Mitochondrial dysfunction and programmed cell death in Alzheimer's disease: A retrospective bioinformatics study.Medicine · 2026Article
- Single-cell and bulk transcriptomic analyses uncover immune subtypes associated with programmed cell death features in intrahepatic cholangiocarcinoma.Scientific reports · 2026Article
83 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLower-grade glioma (LGG) is a highly heterogeneous disease that presents challenges in accurately predicting patient prognosis. Mitochondria play a central role in the energy metabolism of eukaryotic cells and can influence cell death mechanisms, which are critical in tumorigenesis and progression. However, the prognostic significance of the interplay between mitochondrial function and cell death in LGG requires further investigation.
methodsWe employed a robust computational framework to investigate the relationship between mitochondrial function and 18 cell death patterns in a cohort of 1467 LGG patients from six multicenter cohorts worldwide. A total of 10 commonly used machine learning algorithms were collected and subsequently combined into 101 unique combinations. Ultimately, we devised the mitochondria-associated programmed cell death index (mtPCDI) using machine learning models that exhibited optimal performance.
resultsThe mtPCDI, generated by combining 18 highly influential genes, demonstrated strong predictive performance for prognosis in LGG patients. Biologically, mtPCDI exhibited a significant correlation with immune and metabolic signatures. The high mtPCDI group exhibited enriched metabolic pathways and a heightened immune activity profile. Of particular importance, our mtPCDI maintains its status as the most potent prognostic indicator even following adjustment for potential confounding factors, surpassing established clinical models in predictive strength.
conclusionOur utilization of a robust machine learning framework highlights the significant potential of mtPCDI in providing personalized risk assessment and tailored recommendations for metabolic and immunotherapy interventions for individuals diagnosed with LGG. Of particular significance, the signature features highly influential genes that present further prospects for future investigations into the role of PCD within mitochondrial function.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.