Evidence map›Paper›PMID 40232295›Full record

ArticleAnnals of medicine2025

Prognostic relevance of bone marrow immune cell fractions in newly diagnosed B-cell non-Hodgkin lymphoma patients.

Luciana Valvano, Rocchina Vilella, Fiorella D'Auria, Giovanni D'Arena, Rossana Libonati, Michela Soda, Alessia Telesca, Giuseppe Pietrantuono, Giovanna Rosaria Mansueto, Oreste Villani and 3 more

Abstract read
In one paragraph

Article in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Luciana ValvanoLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Rocchina VilellaLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Fiorella D'AuriaLaboratory of Clinical Pathology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Giovanni D'ArenaHematology, "S. Luca" Hospital, ASL Salerno, Italy.
Rossana LibonatiLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Michela SodaLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Alessia TelescaLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Giuseppe PietrantuonoHematology and Stem Cell Transplantation Unit, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Giovanna Rosaria MansuetoHematology and Stem Cell Transplantation Unit, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Oreste VillaniHematology and Stem Cell Transplantation Unit, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Simona D'AgostinoHematology and Stem Cell Transplantation Unit, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Giovanni CaliceLaboratory of Preclinical and Translational Research, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.
Teodora StatutoLaboratory of Clinical Research and Advanced Diagnostics, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Rionero in Vulture, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNon-Hodgkin lymphomas (NHLs) are the most common hematological malignancies worldwide. Among these, B-cell lymphomas (B-NHLs) are the second leading cause of death in hematologic neoplasms. MATERIAL AND

methodsIn this study, a detailed immunophenotypic analysis of lymphocytes in the bone marrow aspirate (BMA) of 75 patients with four different subtypes of B-NHLs was performed at diagnosis. The samples were analyzed by flow cytometry (FC) using a stain-lyse-no wash technique and a comprehensive six-color antibody panel.

resultsOur data showed a different trend in the percentage values of the distinct lymphocyte subsets, which did not seem to correlate with a worse prognosis, except for B cells in diffuse large B-cell lymphoma (DLBCL), which were significantly higher in stage IV than in stages II and III. ROC curve analysis showed that the B-cell percentage value could be used to predict the stage of the disease. Total lymphocytes and B cells were greater in lymphomas that presented a lower percentage of disease progression, specifically mantle cell lymphoma (MCL) and marginal zone lymphoma (MZL). In contrast, natural killer (NK) and T cells showed higher values in DLBCL and follicular lymphoma (FL), which progressed more frequently. Interestingly, in DLBCL patients with higher percentage values of double positive (DPT) and helper T cells (Th), we observed a good prognosis. Specifically, univariate Cox regression analyses indicated that a higher value of Th cells at diagnosis was a better prognostic predictor in patients with DLBCL.

conclusionsThese preliminary findings encourage us to further investigate the role of lymphocyte subpopulations in B-cell NHL.

Indexed as

Bone Marrow CellsLymphoma, B-CellAdultAgedAged, 80 and overB-LymphocytesBone MarrowDisease ProgressionFemaleFlow CytometryHumansImmunophenotypingLymphoma, Large B-Cell, DiffuseLymphoma, Mantle-CellMaleMiddle AgedB-cell non-Hodgkin lymphomaB cellsDLBCLdouble positive T-cellsflow cytometryimmune cellsprediction staging diseaseprognostic roleTh cells

Identifiers

PMID40232295
PMCPMC12001853

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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.