Evidence map›Paper›PMID 16264907›Full record

ReviewNature clinical practice. Oncology2005

Technology insight: Applications of emerging immunotherapeutic strategies for Epstein-Barr virus-associated malignancies.

Rajiv Khanna, Denis Moss, Maher Gandhi

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature clinical practice. Oncology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Immunotherapy for epstein-barr virus-related lymphomas.Mediterranean journal of hematology and infectious diseases · 2009
    Article
  17. The prioritization of cancer antigens: a national cancer institute pilot project for the acceleration of translational research.Clinical cancer research : an official journal of the American Association for Cancer Research · 2009
    Article
  18. Article
  19. Article
  20. Tumor-specific immune responses.Seminars in immunology · 2008
    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

3 authors at 2 institutions in 1 country.

Rajiv KhannaTumour Immunology Laboratory, Queensland Institute of Medical Research, Queensland, Australia. rajivK@qimr.edu.au
Denis Moss
Maher Gandhi
National Health and Medical Research Council · AUQIMR Berghofer Medical Research Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Epstein-Barr virus (EBV) is uniquely associated with a broad range of human malignancies. In spite of their diverse cellular origin, most of these malignancies share common features, including the expression of either some or all of the EBV latent proteins, which can be potentially exploited for immune-based therapies. Here we discuss new and emerging strategies to manipulate the immune response to specifically boost T-cell immunity towards viral proteins that are expressed in EBV-associated malignancies. These strategies are used either alone or as an adjuvant therapy in combination with chemotherapy and/or monoclonal antibodies. Overall, this strategy may serve as a new paradigm for the successful multi-modality treatment of malignancies.

Indexed as

Antibodies, MonoclonalChemotherapy, AdjuvantCombined Modality TherapyEpstein-Barr Virus InfectionsHumansImmunotherapyNeoplasmsT-LymphocytesViral VaccinesAntibodies, MonoclonalViral Vaccines

Identifiers

PMID16264907
OpenAlexW2084238041

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.