Evidence map›Paper›PMID 23988031›Full record

ArticleJournal of hematology & oncology2013

Fibroblast growth factor-2 (FGF2) and syndecan-1 (SDC1) are potential biomarkers for putative circulating CD15+/CD30+ cells in poor outcome Hodgkin lymphoma patients.

Rajendra Gharbaran, Andre Goy, Takemi Tanaka, Jongwhan Park, Chris Kim, Nafis Hasan, Swathi Vemulapalli, Sreeja Sarojini, Madalina Tuluc, Kip Nalley and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Targeting syndecan-1: new opportunities in cancer therapy.American journal of physiology. Cell physiology · 2022
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Hodgkin Lymphoma: Current Status and Clinical Trial Recommendations.Journal of the National Cancer Institute · 2017
    Review
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  12. Review
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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

13 authors at 2 institutions in 1 country.

Rajendra GharbaranJohn Theurer Cancer Center, Hackensack University Medical Center, D, Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ 07601, USA. ksuh@hackensackUMC.org.
Andre Goy
Takemi Tanaka
Jongwhan Park
Chris Kim
Nafis Hasan
Swathi Vemulapalli
Sreeja Sarojini
Madalina Tuluc
Kip Nalley
Pritish Bhattacharyya
Andrew Pecora
K Stephen Suh
Hackensack University Medical Center · USThomas Jefferson University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh risk, unfavorable classical Hodgkin lymphoma (cHL) includes those patients with primary refractory or early relapse, and progressive disease. To improve the availability of biomarkers for this group of patients, we investigated both tumor biopsies and peripheral blood leukocytes (PBL) of untreated (chemo-naïve, CN) Nodular Sclerosis Classic Hodgkin Lymphoma (NS-cHL) patients for consistent biomarkers that can predict the outcome prior to frontline treatment. METHODS AND MATERIALS: Bioinformatics data mining was used to generate 151 candidate biomarkers, which were screened against a library of 10 HL cell lines. Expression of FGF2 and SDC1 by CD30+ cells from HL patient samples representing good and poor outcomes were analyzed by qRT-PCR, immunohistochemical (IHC), and immunofluorescence analyses.

resultsTo identify predictive HL-specific biomarkers, potential marker genes selected using bioinformatics approaches were screened against HL cell lines and HL patient samples. Fibroblast Growth Factor-2 (FGF2) and Syndecan-1 (SDC1) were overexpressed in all HL cell lines, and the overexpression was HL-specific when compared to 116 non-Hodgkin lymphoma tissues. In the analysis of stratified NS-cHL patient samples, expression of FGF2 and SDC1 were 245 fold and 91 fold higher, respectively, in the poor outcome (PO) group than in the good outcome (GO) group. The PO group exhibited higher expression of the HL marker CD30, the macrophage marker CD68, and metastatic markers TGFβ1 and MMP9 compared to the GO group. This expression signature was confirmed by qualitative immunohistochemical and immunofluorescent data. A Kaplan-Meier analysis indicated that samples in which the CD30+ cells carried an FGF2+/SDC1+ immunophenotype showed shortened survival. Analysis of chemo-naive HL blood samples suggested that in the PO group a subset of CD30+ HL cells had entered the circulation. These cells significantly overexpressed FGF2 and SDC1 compared to the GO group. The PO group showed significant down-regulation of markers for monocytes, T-cells, and B-cells. These expression signatures were eliminated in heavily pretreated patients.

conclusionThe results suggest that small subsets of circulating CD30+/CD15+ cells expressing FGF2 and SDC1 represent biomarkers that identify NS-cHL patients who will experience a poor outcome (primary refractory and early relapsing).

Indexed as

AdultAgedBiomarkers, TumorComputational BiologyFemaleFibroblast Growth Factor 2FucosyltransferasesHodgkin DiseaseHumansKi-1 AntigenLewis X AntigenMaleMiddle AgedNeoplasm Recurrence, LocalNeoplastic Cells, CirculatingRetrospective StudiesBiomarkers, TumorFibroblast Growth Factor 2FucosyltransferasesFUT4 protein, humanKi-1 AntigenLewis X AntigenSDC1 protein, humanSyndecan-1

Identifiers

PMID23988031
PMCPMC3766006
OpenAlexW2168499839

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Registered trials

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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.