Evidence map›Paper›PMID 25381134›Full record

Trial reportHaematologica2015

Prognostic influence of macrophages in patients with diffuse large B-cell lymphoma: a correlative study from a Nordic phase II trial.

Sari Riihijärvi, Idun Fiskvik, Minna Taskinen, Heli Vajavaara, Maria Tikkala, Olav Yri, Marja-Liisa Karjalainen-Lindsberg, Jan Delabie, Erlend Smeland, Harald Holte and 1 more

Open access · goldAbstract readClinical Trial, Phase II
In one paragraph

Trial report in Haematologica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
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

80 citing papers in PubMed, 1 synthesis or guideline pooled it, 113 citations in OpenAlex.

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20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Sari RiihijärviDepartment of Oncology, Helsinki University Central Hospital Cancer Center, Finland Genome Scale Biology Program, University of Helsinki, Finland.
Idun FiskvikDepartment of Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.
Minna TaskinenDepartment of Oncology, Helsinki University Central Hospital Cancer Center, Finland Genome Scale Biology Program, University of Helsinki, Finland.
Heli VajavaaraDepartment of Oncology, Helsinki University Central Hospital Cancer Center, Finland Genome Scale Biology Program, University of Helsinki, Finland.
Maria TikkalaDepartment of Oncology, Helsinki University Central Hospital Cancer Center, Finland Genome Scale Biology Program, University of Helsinki, Finland.
Olav YriDepartment of Immunology, Institute for Cancer Research, Oslo University Hospital, Norway.
Marja-Liisa Karjalainen-LindsbergDepartment of Pathology, Haartman Institute, University of Helsinki, Finland.
Jan DelabieDepartment of Pathology, Oslo University Hospital, Norway.
Erlend SmelandDepartment of Immunology, Institute for Cancer Research, Oslo University Hospital, Norway Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Norway.
Harald HolteCentre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Norway Department of Oncology, Oslo University Hospital, Oslo, Norway.
Sirpa LeppäDepartment of Oncology, Helsinki University Central Hospital Cancer Center, Finland Genome Scale Biology Program, University of Helsinki, Finland sirpa.leppa@helsinki.fi.
Oslo University Hospital · NOUniversity of Helsinki · FIHelsinki University Hospital · FIUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic impact of the tumor microenvironment in diffuse large B-cell lymphoma has not been systematically assessed. We analyzed mRNA and antigen expression of monocytes, macrophages, lymphocytes, dendritic and natural killer cells in pretreatment tumor samples of patients with high-risk diffuse large B-cell lymphoma using gene expression microarray and immunohistochemistry. The patients were treated in a Nordic phase II study with dose-dense chemoimmunotherapy and central nervous system prophylaxis. Of the studied markers for non-malignant inflammatory cells, CD68 expression and CD68(+) macrophage counts correlated with favorable outcome. Five-year progression-free survival rates were 83% and 43% for the patients with high and low CD68 mRNA levels, respectively (P=0.007), while overall survival rates were 83% and 64%, respectively (P=ns). The patients with high CD68(+) macrophage counts had better 5-year progression-free survival (74% versus 40%; P=0.003) and overall survival (90% versus 60%; P=0.009) than the patients with low macrophage counts. Low CD68(+) macrophage count retained its prognostic impact on overall survival with age-adjusted International Prognostic Index [RR=5.0 (95% CI 1.024-19.088); P=0.017]. The findings were validated in three independent cohorts of patients treated with chemoimmunotherapy. In contrast, in patients treated with chemotherapy, high CD68(+) macrophage count was associated with poor progression-free survival (40% versus 72%; P=0.021) and overall survival (39% versus 72%; P=0.015). Together, the data suggest that macrophages exhibit a dual, treatment-specific role in diffuse large B-cell lymphoma. For the patients treated with chemoimmunotherapy, high pretreatment CD68 mRNA levels and CD68(+) macrophage numbers predict a favorable outcome.

Indexed as

ImmunotherapyAdultAgedAntibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsCombined Modality TherapyFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesLymphoma, Large B-Cell, DiffuseMacrophagesMaleMiddle AgedNeoplasm Recurrence, LocalNeoplasm StagingAntibodies, Monoclonal

Identifiers

PMID25381134
PMCPMC4803141
OpenAlexW2075158261

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.