ArticleBlood and lymphatic cancer : targets and therapy2025
Comprehensive Analysis of Tumor Microenvironment and PD-L1 Expression Associations with Clinicopathological Features and Prognosis in Diffuse Large B-Cell Lymphoma.
Article in Blood and lymphatic cancer : targets and therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Is There a Tumor Proportion Score Threshold at Which Tumor-Cell PD-L1 Adds Prognostic Information Beyond the International Prognostic Index in Large B-Cell Lymphoma?Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The tumor microenvironment (TME) influences diffuse large B-cell lymphoma (DLBCL) progression, but the prognostic roles of tumor-infiltrating T-lymphocytes (TIL-T), tumor-associated macrophages (TAMs), and PD-L1 remain undefined. This study investigates the clinicopathological associations and prognostic impacts of TIL-T, TAMs, and PD-L1 expression in DLBCL. Methods: This retrospective study evaluated 89 primary DLBCL cases, integrating clinicopathological data with automated immunohistochemical quantification of CD3, CD8, FOXP3, CD163, and PD-L1 expression in tumor hotspots and microenvironmental compartments. Prognostic associations of TIL-T, TAMs, and PD-L1 expression with PFS and OS were analyzed via Kaplan-Meier methods and Cox regression. Results: High CD3+ infiltration correlated with lower Ki-67 expression, while elevated FOXP3+ levels linked to improved Eastern Cooperative Oncology Group Performance Status (ECOG). CD163+ TAMs varied by NCCN-IPI risk, ECOG, and cell of origin. Neoplastic PD-L1 (nPD-L1) positivity associated with higher NCCN-IPI scores, CD3+ T-cell infiltration, and CD163+ TAM enrichment. Microenvironmental PD-L1 (mPD-L1) correlated with age, ECOG, B symptoms, and infiltration of all T-cell subsets and TAMs. Survival analysis revealed prolonged overall survival (OS) with high CD3+, CD8+, FOXP3+ TIL-T, CD163+ TAMs, or mPD-L1 positivity, while progression-free survival (PFS) improved with CD3+ infiltration and mPD-L1. Univariate analysis identified B symptoms, extranodal involvement, and low TIL-T levels as OS risks, whereas ECOG 0 and mPD-L1+ were protective. Multivariate modeling confirmed B symptoms, extranodal disease, and CD3+ TIL-T as independent OS predictors; CD3+ TIL-T and B symptoms independently impacted PFS. Discussion: The TME plays a crucial role in the biological behavior of DLBCL, particularly because TIL-T and TAMs are significantly associated with patient survival outcomes. These cell types may serve as critical biomarkers and provide novel immunotherapy targets 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.