ArticleFrontiers in genetics2022
Necroptosis-Related Genes Associated With Immune Activity and Prognosis of Colorectal Cancer.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
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
6 citing papers in PubMed, 14 citations in OpenAlex.
- Pathogenetic development, diagnosis and clinical therapeutic approaches for liver metastasis from colorectal cancer (Review).International journal of oncology · 2025Review
- Role of necroptosis-related genes in immune activity and prognosis of colorectal cancer.Frontiers in immunology · 2025Article
- Cellular and molecular events in colorectal cancer: biological mechanisms, cell death pathways, drug resistance and signalling network interactions.Discover oncology · 2024Review
- Experimental prognostic model integrating N6-methyladenosine-related programmed cell death genes in colorectal cancer.iScience · 2024Article
- Differential gene expression of immunity and inflammation genes in colorectal cancer using targeted RNA sequencing.Frontiers in oncology · 2023Article
- Identification of necroptosis-related subtypes, development of a novel signature, and characterization of immune infiltration in colorectal cancer.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims at screening out the key necroptosis-related genes in colorectal cancer and elucidating the role of necroptosis-related genes in the immune activity and prognosis of colorectal cancer (CRC). The CRC patients' data were downloaded from The Cancer Genome Atlas (TCGA). The non-negative matrix factorization method was applied to identify new molecular subgroups
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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.