ArticleFrontiers in oncology2022
Pyroptosis-related lncRNAs: A novel prognosis signature of colorectal cancer.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
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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.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- LncRNA NKILA as a key regulator in cancer pathogenesis: insights into its mechanisms and clinical implications.Cancer cell international · 2026Review
- Downregulated LINC02381 Predicts Tumor Progression and Correlates with Poor Survival in Gastric Cancer.International journal of general medicine · 2026Article
- Construction of a prognostic model for autophagy-related LncRNAs in lung adenocarcinoma.Medicine · 2025Article
- Crosstalk between non-coding RNAs and programmed cell death in colorectal cancer: implications for targeted therapy.Epigenetics & chromatin · 2025Review
- Article
- Research progress on the effect of pyroptosis on the occurrence, development, invasion and metastasis of colorectal cancer.World journal of gastrointestinal oncology · 2024Review
- Editorial: The impact of genetics on CRC therapy: from adaptive mutability to drug resistance.Frontiers in oncology · 2023Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pyroptosis is a newly discovered programmed cell death mechanism involved in tumorigenesis. Long non-coding RNAs (lncRNAs) have been implicated in colorectal cancer (CRC). However, the potential role of pyroptosis-related lncRNAs (PRLs) in CRC remains unelucidated. Therefore, we retrieved transcriptomic data of CRC patients from The Cancer Genome Atlas (TCGA). With the use of univariate and multivariate Cox proportional hazards regression models and the random forest algorithm, a new risk model was constructed based on eight PRLs:
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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.