ArticleFrontiers in genetics2020
A Novel Apoptosis-Related Gene Signature Predicts Biochemical Recurrence of Localized Prostate Cancer After Radical Prostatectomy.
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 10 papers.
What it found
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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
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Who cites it
10 citing papers in PubMed.
- A Gene Feature Based on Histone Modifications Can Predict the Prognosis of Prostate Cancer.Biomedicines · 2026Article
- Evaluating the prognosis of prostate cancer through metabolic pathways.Discover oncology · 2025Article
- FMNL2/SRC-mediated androgen receptor translocation into the nucleus promotes enzalutamide resistance of prostate cancer.iScience · 2025Article
- Radiogenomics Map-Based Molecular and Imaging Phenotypical Characterization in Localised Prostate Cancer Using Pre-Biopsy Biparametric MR Imaging.International journal of molecular sciences · 2024Article
- Identification and validation of a novel apoptosis-related prognostic risk score model for lung adenocarcinoma.Journal of Cancer · 2024Article
- Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients.Discover oncology · 2023Article
- Construction and validation of a novel apoptosis-associated prognostic signature related to osteosarcoma metastasis and immune infiltration.Translational oncology · 2022Article
- Characterization of a Pyroptosis-Related Signature for Prognosis Prediction and Immune Microenvironment Infiltration in Prostate Cancer.Computational and mathematical methods in medicine · 2022Article
- Classification of pyroptosis patterns and construction of a novel prognostic model for prostate cancer based on bulk and single-cell RNA sequencing.Frontiers in endocrinology · 2022Article
- Application of Machine Learning Algorithms in Breast Cancer Diagnosis and Classification.International journal of science academic research · 2021Article
Corrections and comments
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Authors and funding
9 authors.
Funding
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Abstract
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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.