Evidence map›Paper›PMID 24727328›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2014

Pattern of CD14+ follicular dendritic cells and PD1+ T cells independently predicts time to transformation in follicular lymphoma.

Jacob P Smeltzer, Jason M Jones, Steven C Ziesmer, Deanna M Grote, Bing Xiu, Kay M Ristow, Zhi Zhang Yang, Grzegorz S Nowakowski, Andrew L Feldman, James R Cerhan and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 133 citations in OpenAlex.

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  12. Advances in the multi-omics landscape of follicular lymphoma.International journal of biological sciences · 2023
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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

12 authors at 3 institutions in 2 countries.

Jacob P SmeltzerAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Jason M JonesAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Steven C ZiesmerAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Deanna M GroteAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Bing XiuAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Kay M RistowAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Zhi Zhang YangAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Grzegorz S NowakowskiAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Andrew L FeldmanAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
James R CerhanAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Anne J NovakAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China.
Stephen M AnsellAuthors' Affiliations: Division of Hematology; Division of Epidemiology; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota; and Department of Hematology, Tongji Hospital, Tongji University, Shanghai, China ansell.stephen@mayo.edu.
Mayo Clinic · USTongji Hospital · CNTongji University · CN

Funding

The Role of Monocytes in non-Hodgkin LymphomaP50CA097274 · NCI · UNIVERSITY OF IOWA · PI HOUTMAN, JON C.D. · 2002 to 2021
$45.7M
Biologic therapy for Beta-cell non-Hodgkin's lymphomaR01CA092104 · NCI · MAYO CLINIC ROCHESTER · PI ANSELL, STEPHEN M · 2002 to 2011
$2.0M
NCI NIH HHS CA92104NCI NIH HHS CA97274NCI NIH HHS P50 CA097274NCI NIH HHS R01 CA092104
6 · The paper itself

Abstract

purposeTransformation of follicular lymphoma is a critical event associated with a poor prognosis. The role of the tumor microenvironment in previous transformation studies has yielded conflicting results. EXPERIMENTAL

designTo define cell subtypes associated with transformation, we examined tissue specimens at diagnosis from patients with follicular lymphoma that later transformed and, using immunohistochemistry (IHC), stained for CD68, CD11c, CD21, CXCL13, FOXP3, PD1, and CD14. Cell content and the pattern of expression were evaluated. Those identified as significantly associated with time to transformation (TTT) and overall survival (OS) were further characterized by flow cytometry and multicolor IHC.

resultsOf note, 58 patients were analyzed with median TTT of 4.7 years. The pattern of PD1(+) and CD14(+) cells rather than the quantity of cells was predictive of clinical outcomes. On multivariate analysis, including the follicular lymphoma international prognostic index score, CD14(+) cells localized in the follicle were associated with a shorter TTT (HR, 3.0; P = 0.004). PD1(+) cells with diffuse staining were associated with a shorter TTT (HR, 1.9; P = 0.045) and inferior OS (HR, 2.5; P = 0.012). Multicolor IHC and flow cytometry identified CD14(+) cells as follicular dendritic cells (FDC), whereas PD1(+) cells represented two separate populations, TFH and exhausted T cells.

conclusionThese results identify the presence of PD1(+) T cells and CD14(+) FDC as independent predictors of transformation in follicular lymphoma. Clin Cancer Res; 20(11); 2862-72. ©2014 AACR.

Indexed as

AdultAgedAged, 80 and overBiomarkers, TumorCell Transformation, NeoplasticDendritic Cells, FollicularFemaleHumansImmunohistochemistryKaplan-Meier EstimateLipopolysaccharide ReceptorsLymphoma, FollicularMaleMiddle AgedPrognosisProgrammed Cell Death 1 ReceptorBiomarkers, TumorLipopolysaccharide ReceptorsPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID24727328
PMCPMC4058762
OpenAlexW2132644125

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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.