Evidence map›Paper›PMID 26405582›Full record

ArticleOncoimmunology2015

Lectin-like transcript 1 is a marker of germinal center-derived B-cell non-Hodgkin's lymphomas dampening natural killer cell functions.

Claire Germain, Thierry Guillaudeux, Elisabeth D Galsgaard, Catherine Hervouet, Nedra Tekaya, Anne-Sophie Gallouet, Julien Fassy, Franck Bihl, Gwenola Poupon, Anne Lazzari and 7 more

Abstract read
In one paragraph

Article in Oncoimmunology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

17 authors.

Claire GermainInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France ; Laboratory "Cancer, Immune control and Escape,", Cordeliers Research Center; UMRS1138 ; Paris, France.
Thierry GuillaudeuxUniversité de Rennes 1; INSERM, Unité 917; EFS Bretagne; UMS 3480CNRS 018INSERM Biosit ; Rennes, France.
Elisabeth D GalsgaardBiopharmaceutical Research Unit, Novo Nordisk A/S , DK-2760; Måløv, Denmark.
Catherine HervouetInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Nedra TekayaInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Anne-Sophie GallouetUniversité de Rennes 1; INSERM, Unité 917; EFS Bretagne; UMS 3480CNRS 018INSERM Biosit ; Rennes, France.
Julien FassyInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Franck BihlInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Gwenola PouponInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Anne LazzariInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Pieter SpeeBiopharmaceutical Research Unit, Novo Nordisk A/S , DK-2760; Måløv, Denmark.
Fabienne AnjuèreInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.
Céline PangaultUniversité de Rennes 1; INSERM, Unité 917, EFS Bretagne; CHU de Rennes, Service d'Hématologie, UMS 3480CNRS 018INSERM Biosit ; Rennes, France.
Karin TarteUniversité de Rennes 1; INSERM, Unité 917, EFS Bretagne; CHU de Rennes, Service d'Hématologie, UMS 3480CNRS 018INSERM Biosit ; Rennes, France.
Patrick TasUniversité de Rennes 1; INSERM, Unité 917, EFS Bretagne; CHU de Rennes, Service d'Hématologie, UMS 3480CNRS 018INSERM Biosit ; Rennes, France.
Luc XerriDépartement d'Oncologie Moléculaire; Centre de Recherche en Cancérologie de Marseille; INSERM UMR89 , IFR137; Marseille, France.
Veronique M BraudInstitut de Pharmacologie Moléculaire et Cellulaire; CNRS UMR7275 ; Valbonne, France ; Université de Nice-Sophia Antipolis ; Valbonne, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Hodgkin's lymphomas (NHLs) are malignant neoplasms which are clinically and biologically diverse. Their incidence is constantly increasing and despite treatment advances, there is a need for novel targeted therapies. Here, we identified Lectin-like transcript 1 (LLT1) as a biomarker of germinal center (GC)-derived B-cell NHLs. LLT1 identifies GC B cells in reactive tonsils and lymph nodes and its expression is maintained in B-cell NHLs which derive from GC, including Burkitt lymphoma (BL), follicular lymphoma (FL), and GC-derived diffuse large B-cell lymphoma (DLBCL). We further show that LLT1 expression by tumors dampens natural killer (NK) cell functions following interaction with its receptor CD161, uncovering a potential immune escape mechanism. Our results pinpoint LLT1 as a novel biomarker of GC-derived B-cell NHLs and as a candidate target for innovative immunotherapies.

Indexed as

CD161germinal centerLLT1natural killer cellsnon-Hodgkin's B-cell lymphoma

Identifiers

PMID26405582
PMCPMC4570132

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.