Evidence map›Paper›PMID 33072862›Full record

ArticleMolecular therapy oncolytics2019

Updates on Oncolytic Virus Immunotherapy for Cancers.

Cole Peters, Paola Grandi, Fares Nigim

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular therapy oncolytics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

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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

3 authors at 3 institutions in 1 country.

Cole PetersBrain Tumor Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Paola GrandiUniversity of Pittsburgh, Pittsburgh, PA 15213, USA.
Fares NigimBrain Tumor Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Harvard University · USMassachusetts General Hospital · USUniversity of Pittsburgh · US

Funding

Oncolytic Herpes Simplex Virus Interactions with Glioblastoma Stem CellsF31CA192453 · NCI · HARVARD MEDICAL SCHOOL · PI PETERS, COLE WINSTEAD DYLAN · 2015 to 2017
$83k
NCI NIH HHS F31 CA192453
6 · The paper itself

Abstract

The 2018 annual Cambridge Healthtech Institute's International Immuno-Oncology Summit in Boston, MA convened late August, and academic and industry researchers were allowed to debate and discuss oncolytic virology during the virus immunotherapy portion of the conference. The breakthrough agent, TVEC/IMLYGIC, as well as most other oncolytic viruses (OVs) in clinical trials, are demonstrating an immense synergy with T cell checkpoint inhibitors. To this extent, the marriage of T cell checkpoint inhibitors and OV is now vastly accepted, indicating the next phase in OVs is the recruitment of the immune system, and tailoring the immune response toward tumor clearance is a far better strategy than directly lysing the tumor outright with virus. The next field-shaping question for OVs is how to convert a patient's immune response against their tumor. The talks this year focused on whether OVs can cause the emergence of a strong anti-tumor immunity intrinsically or whether vectors, which educate the immune system to detect tumor antigens, were more efficacious. Speakers presented novel transgenes to arm OVs and systems biology approaches to discover the best viral backbones to engineer into vectors. Here we summarize the meeting's keynote talks, thematic principles running through the summit, and current developments in the OV field.

Identifiers

PMID33072862
PMCPMC7536361
OpenAlexW2917646909

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.