Evidence map›Paper›PMID 31123084›Full record

ArticleThe Journal of experimental medicine2019

CD81 is a novel immunotherapeutic target for B cell lymphoma.

Felipe Vences-Catalán, Chiung-Chi Kuo, Ranjani Rajapaksa, Caroline Duault, Noemi Andor, Debra K Czerwinski, Ronald Levy, Shoshana Levy

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Review
  16. The molecular mechanism of CD81 antibody inhibition of metastasis.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Felipe Vences-CatalánDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Chiung-Chi KuoDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Ranjani RajapaksaDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Caroline DuaultDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Noemi AndorDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Debra K CzerwinskiDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Ronald LevyDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA.
Shoshana LevyDivision of Oncology, Department of Medicine, Stanford University School of Medicine, Stanford, CA slevy@stanford.edu.ORCID 0000-0001-7837-6911
Stanford University · US

Funding

Enhancing Cancer Immunotherapy: Targeting the Tumor and Targeting the HostR35CA197353 · NCI · STANFORD UNIVERSITY · PI LEVY, RONALD · 2016 to 2022
$6.1M
NCI NIH HHS R35 CA197353
6 · The paper itself

Abstract

The tetraspanin

Indexed as

AnimalsAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedCell Line, TumorFemaleHumansImmunotherapyKiller Cells, NaturalLymphoma, B-CellMacrophagesMiceMice, SCIDMice, TransgenicNeoplasm TransplantationRituximabTetraspanin 28Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedCD81 protein, humanRituximabTetraspanin 28

Identifiers

PMID31123084
PMCPMC6605745
OpenAlexW2945581101

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.