Evidence map›Paper›PMID 27119094›Full record

ReviewMolecular therapy oncolytics2014

Potentiation of immunomodulatory antibody therapy with oncolytic viruses for treatment of cancer.

Dmitriy Zamarin, Jedd D Wolchok

Open access · goldAbstract readReview
In one paragraph

Review in Molecular therapy oncolytics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Immunotherapeutic Challenges for Pediatric Cancers.Molecular therapy oncolytics · 2019
    Review
  14. Immunomodulatory Drugs Encoded by Oncolytic Viruses: Is the Whole Greater Than the Sum?Molecular therapy : the journal of the American Society of Gene Therapy · 2019
    Article
  15. Article
  16. White paper on microbial anti-cancer therapy and prevention.Journal for immunotherapy of cancer · 2018
    Review
  17. Review
  18. Article
  19. Pre-existing Immunity to Oncolytic Virus Potentiates Its Immunotherapeutic Efficacy.Molecular therapy : the journal of the American Society of Gene Therapy · 2018
    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

2 authors at 1 institution in 1 country.

Dmitriy ZamarinSwim Across America Laboratory, Immunology Program, Sloan-Kettering Institute for Cancer Research, New York, New York, USA; Department of Medicine, Gynecologic Medical Oncology Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Ludwig Center for Cancer Immunotherapy at Memorial Sloan-Kettering Cancer Center, New York, New York, USA; Weill Cornell Medical College and Graduate School of Medical Sciences of Cornell University, New York, New York, USA.
Jedd D WolchokSwim Across America Laboratory, Immunology Program, Sloan-Kettering Institute for Cancer Research, New York, New York, USA; Department of Medicine, Melanoma and Immunotherapy Service, Memorial Sloan Kettering Cancer Center, New York, New York, USA; Ludwig Center for Cancer Immunotherapy at Memorial Sloan-Kettering Cancer Center, New York, New York, USA; Weill Cornell Medical College and Graduate School of Medical Sciences of Cornell University, New York, New York, USA.
Memorial Sloan Kettering Cancer Center · US

Funding

IMMUNIZATION AGAINST MELANOMA DIFFERENTIATION ANTIGENSR01CA056821 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI WOLCHOK, JEDD D. · 1992 to 2020
$5.7M
NCI NIH HHS R01 CA056821
6 · The paper itself

Abstract

Identification of the immune suppressive mechanisms active within the tumor microenvironment led to development of immunotherapeutic strategies aiming to reverse the immunosuppression and to enhance the function of tumor-infiltrating lymphocytes. Of those, cancer therapy with antibodies targeting the immune costimulatory and coinhibitory receptors has demonstrated significant promise in the recent years, with multiple antibodies entering clinical testing. The responses to these agents, however, have not been universal and have not been observed in all cancer types, calling for identification of appropriate predictive biomarkers and development of combinatorial strategies. Pre-existing immune infiltration in tumors has been demonstrated to have a strong association with response to immunotherapies, with the type I interferon (IFN) pathway emerging as a key player in tumor innate immune recognition and activation of adaptive immunity. These findings provide a rationale for evaluation of strategies targeting the type I IFN pathway as a means to enhance tumor immune recognition and infiltration, which could potentially make them susceptible to therapeutics targeting the cosignaling receptors. To this end in particular, oncolytic viruses (OVs) have been demonstrated to enhance tumor recognition by the immune system through multiple mechanisms, which include upregulation of major histocompatibility complex and costimulatory molecules on cancer cells, immunogenic cell death and antigen release, and activation of the type I IFN pathway. Evidence is now emerging that combination therapies using OVs and agents targeting immune cosignaling receptors such as 4-1BB, PD-1, and CTLA-4 may work in concert to enhance antitumor immunity and therapeutic efficacy. Our evolving understanding of the interplay between OVs and the immune system demonstrates that the virus-induced antitumor immune responses can be harnessed to drive the efficacy of the agents targeting cosignaling receptors and provides a strong rationale for integration of such therapies in clinic.

Identifiers

PMID27119094
PMCPMC4782939
OpenAlexW2330138061

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.