ReviewCancers2019
Systematic Review of the Potential of MicroRNAs in Diffuse Large B Cell Lymphoma.
Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses 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
37 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.
- Molecular Biomarkers in Prediction of High-Grade Transformation and Outcome in Patients with Follicular Lymphoma: A Comprehensive Systemic Review.International journal of molecular sciences · 2024Pooled it
- Systematic Analysis of microRNA Biomarkers for Diagnosis, Prognosis, and Therapy in Patients With Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2020Pooled it
- Expression and diagnostic significance of plasma exosomal RNA in diffuse large B-cell lymphoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Emerging Roles of MicroRNAs in Diffuse Large B-Cell Lymphoma: From Molecular Mechanisms to Clinical Translation, Liquid Biopsy, and Precision Medicine.Biomedicines · 2026Review
- The Role of microRNAs as Potential Biomarkers in Diffuse Large B-Cell Lymphoma.Non-coding RNA · 2026Review
- Advancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA.International journal of molecular sciences · 2025Review
- MicroRNAs in Diffuse Large B-Cell Lymphoma (DLBCL): Biomarkers with Prognostic Potential.Cancers · 2025Article
- Mechanism of Action of circRNA/miRNA Network in DLBCL.Non-coding RNA · 2025Review
- The Molecular Pathology of Blood Cancer: A Comprehensive Review of Chromosome and Genetic Abnormalities and Their Clinical Utility.British journal of biomedical science · 2025Review
- Review
- Tumor Biology Hides Novel Therapeutic Approaches to Diffuse Large B-Cell Lymphoma: A Narrative Review.International journal of molecular sciences · 2024Review
- microRNA sequencing for biomarker detection in the diagnosis, classification and prognosis of Diffuse Large B Cell Lymphoma.Scientific reports · 2023Article
- Potential Pathogenic Impact of Cow's Milk Consumption and Bovine Milk-Derived Exosomal MicroRNAs in Diffuse Large B-Cell Lymphoma.International journal of molecular sciences · 2023Review
- Identification of three small nucleolar RNAs (snoRNAs) as potential prognostic markers in diffuse large B-cell lymphoma.Cancer medicine · 2023Article
- Prognostic impact of miR-125b and miR-155b and their relationship with MYC and TP53 in diffuse large B-cell lymphoma: cell-of-origin classification matters.Journal of clinical and experimental hematopathology : JCEH · 2023Article
- Diffuse large B-cell lymphoma and new insights into its pathobiology and implication in treatment.Journal of family medicine and primary care · 2022Review
- The Profile of MicroRNA Expression in Bone Marrow in Non-Hodgkin's Lymphomas.Diagnostics (Basel, Switzerland) · 2022Article
- Screening for Prognostic microRNAs Associated with Treatment Failure in Diffuse Large B Cell Lymphoma.Cancers · 2022Article
- Bioinformatics Analysis of miRNAs Targeting TRAF5 in DLBCL Involving in NF-Genetics research · 2022Article
- 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
5 authors at 1 institution in 1 country.
Funding
Abstract
Diffuse large B cell lymphoma (DLBCL) is the most common subtype of invasive non-Hodgkin's lymphoma (NHL). DLBCL presents with variable backgrounds, which results in heterogeneous outcomes among patients. Although new tools have been developed for the classification and management of patients, 40% of them still have primary refractory disease or relapse. In addition, multiple factors regarding the pathogenesis of this disease remain unclear and identification of novel biomarkers is needed. In this context, recent investigations point to microRNAs as useful biomarkers in cancer. The aim of this systematic review was to provide new insight into the role of miRNAs in the diagnosis, classification, treatment response and prognosis of DLBCL patients. We used the following terms in PubMed" (('Non-coding RNA') OR ('microRNA' OR 'miRNA' OR 'miR') OR ('exosome') OR ('extracellular vesicle') OR ('secretome')) AND ('Diffuse large B cell lymphoma' OR 'DLBCL')" to search for studies evaluating miRNAs as a diagnosis, subtype, treatment response or prognosis biomarkers in primary DLBCL in human patient populations. As a result, the analysis was restricted to the role of miRNAs in tumor tissue and we did not consider circulating miRNAs. A total of thirty-six studies met the inclusion criteria. Among them, twenty-one were classified in the diagnosis category, twenty in classification, five in treatment response and nineteen in prognosis. In this review, we have identified miR-155-5p and miR-21-5p as miRNAs of potential utility for diagnosis, while miR-155-5p and miR-221-3p could be useful for classification. Further studies are needed to exploit the potential of this field.
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.