ArticleFrontiers in oncology2025
Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Article
- Therapeutic outcomes of TP53-mutated diffuse large B cell lymphoma: A systematic review and meta-analysis.iScience · 2026Article
- Genetic and clinical insights into the coexistence of multiple myeloma and diffuse large B cell lymphoma from a case report and systematic review with bioinformatics analysis.Discover oncology · 2026Article
- Gallbladder MiNEN arising in association with an intracholecystic papillary neoplasm exhibiting divergent p53 expression.Virchows Archiv : an international journal of pathology · 2026Article
- Article
- Optimized interpretation of p53 immunohistochemistry for prediction of TP53 mutations and patient survival in DLBCL.Clinical and experimental medicine · 2026Article
- Beyond Binary FISH Results: Targeted NGS Provides Deeper Characterization of MYC and Broader Genomic Alterations in DLBCL.Molecular diagnosis & therapy · 2026Article
- Prognostic impact of TP53 mutations in diffuse large B-cell lymphoma.Annals of hematology · 2026Article
- TP53 mutation predict poor prognosis in diffuse large B-cell lymphoma: a single-center study.Annals of hematology · 2026Article
- Overcoming CAR-T bottlenecks in high-risk DLBCL: a molecular subtyping enhancement strategy.Cancer cell international · 2025Review
- Correlation ofCurrent oncology (Toronto, Ont.) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diffuse large B-cell lymphoma (DLBCL) with TP53 mutations has specific clinicopathological features and is usually associated with a poor prognosis. TP53 gene mutations typically lead to aberrant expression patterns of the p53 protein. We studied 123 DLBCL patients at Henan Cancer Hospital, 35.8% (44/123) had TP53 mutations. Analysis of mutation sites in 44 cases of DLBCL patients revealed that the mutations primarily occur in the DNA-binding domain (DBD region) of the encoded p53 protein; among all mutation types, there were 8 truncation or frameshift mutations, and 36 missense mutations. Further, immunohistochemistry (IHC) detected expression levels of p53 protein in 123 DLBCL samples. The mutation results were used as a reference, and receiver operating characteristic (ROC) curve analysis was employed. Ultimately, the expression ratio of 65% and the moderate-strong expression intensity were regarded as the cut-off value, namely high p53 expression or p53 negative (<1%) indicated mutant-type p53 protein. the complete remission (CR) rate of the mutant-type p53 protein group after receiving R-CHOP regimen was 50% (14/28), and the objective response rate (ORR) was 75%, which differed significantly (P<0.01) compared with wild-type p53 protein group [CR rate of 75.86% (66/87) and ORR rate of 89.66%]. Common gene mutations in the mutant-type p53 protein group primarily involve alterations in pathways related to epigenetics, B cell antigen receptor signaling, cell cycle, among others. IHC analysis of the p53 protein is a simple and low-cost approach that can be employed to predict TP53 mutation status and therapy response.
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.