ArticleOncology letters2020
Comprehensive characterization of driver genes in diffuse large B cell lymphoma.
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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
17 citing papers in PubMed.
- A DLBCL Prognostic model superior to the IPI score: Mechanistic study and clinical validation based on RFC2- and RFC4-mediated DNA damage repair.Clinical and experimental medicine · 2026Article
- B-cell-specificBlood neoplasia · 2025Article
- Integrating genomic features for prognosis in Chinese patients with B-cell lymphoma following chimeric antigen receptor T-cell therapy.Science China. Life sciences · 2025Article
- Audit of B-cell cancer genes.Blood advances · 2025Review
- Analysis of somatic mutations in whole blood from 200,618 individuals identifies pervasive positive selection and novel drivers of clonal hematopoiesis.Nature genetics · 2024Article
- Targeting DLBCL by mutation-specific disruption of cancer-driving oncogenes.Frontiers in genome editing · 2024Article
- Novel-and Not So Novel-Inhibitors of the Multifunctional CRM1 Protein.Oncology reviews · 2024Review
- A20 Restricts NOS2 Expression and Intestinal Tumorigenesis in a Mouse Model of Colitis-Associated Cancer.Gastro hep advances · 2023Article
- Role of RNA Splicing Mutations in Diffuse Large B Cell Lymphoma.International journal of general medicine · 2023Review
- Machine learning models-based on integration of next-generation sequencing testing and tumor cell sizes improve subtype classification of mature B-cell neoplasms.Frontiers in oncology · 2023Article
- Next-Generation Sequencing Highlights of Diffuse Large B-cell Lymphoma in a Tertiary Care Hospital in North India.Cureus · 2022Article
- Genomic and transcriptomic analysis of Korean colorectal cancer patients.Genes & genomics · 2022Article
- Simultaneous Analysis of the p16 Gene and Protein in Canine Lymphoma Cells and Their Correlation with pRb Phosphorylation.Veterinary sciences · 2022Article
- Reduced IRF4 expression promotes lytic phenotype in Type 2 EBV-infected B cells.PLoS pathogens · 2022Article
- Identification of key genes in late-onset major depressive disorder through a co-expression network module.Frontiers in genetics · 2022Article
- IGLL5 is correlated with tumor-infiltrating immune cells in clear cell renal cell carcinoma.FEBS open bio · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common hematological malignancy and is one of the most frequent non-Hodgkin lymphomas. Large-scale genomic studies have defined genetic drivers of DLBCL and their association with functional and clinical outcomes. However, the lymphomagenesis of DLBCL is yet to be fully understood. In the present study, four computational tools OncodriveFM, OncodriveCLUST, integrated Cancer Genome Score and Driver Genes and Pathways were used to detect driver genes and driver pathways involved in DLBCL. The aforementioned tools were also used to perform an integrative investigation of driver genes, including co-expression network, protein-protein interaction, copy number variation and survival analyses. The present study identified 208 driver genes and 31 driver pathways in DLBCL.
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.