Evidence map›Paper›PMID 35258792›Full record

ReviewCurrent treatment options in oncology2022

Role of Virus-Directed Therapy in Soft Tissue Sarcoma.

Hira Chaudhary, Sandra D'Angelo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current treatment options in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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.

Hira ChaudharyDepartment of Sarcoma, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering, 1275 York Ave, New York, NY, 10065, USA.
Sandra D'AngeloDepartment of Sarcoma, Memorial Sloan Kettering Cancer Center, Memorial Sloan Kettering, 1275 York Ave, New York, NY, 10065, USA. dangelos@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

opinion statementBone and soft tissue sarcoma are rare cancers of mesenchymal origin with the characteristics of heterogeneity and diversity that account for less than 1% of solid malignant cancers. Conventional chemotherapy remains standard of care with response rates of 10-15% that are usually dependent on histologic subtype as some subtypes are chemotherapy resistant. There remains a large unmet clinical need for new and novel options promoting the development of promising therapeutic options such as immunotherapy. With more than 80 different subtypes, the heterogeneity of sarcoma requires thoughtful clinical trial design. In the sarcoma field, recent breakthroughs have occurred in the context of histology-specific approach based on underlying tumor biology. To that end, immunotherapy approaches will need to take a similar approach. Oncolytic viruses (OVs) have emerged as a promising treatment for many solid tumors and shown encouraging results in sarcoma. This review mainly focuses on collective clinical data highlighting the role of OVs as immunotherapy being used in soft tissue sarcoma (STS) and bone sarcomas. Combining OVs with T cell-activating checkpoint inhibition, adoptive cell therapy or targeted therapies may yield increased potency, improve antitumor efficacy of oncolytic virotherapy, and offer a new prospect for the treatment of sarcoma.

Indexed as

Oncolytic VirotherapyOncolytic VirusesSarcomaSoft Tissue NeoplasmsHumansImmunotherapyAdenovirusBiomarkerImmunotherapyOncolytic viral therapySarcomaTumor-infiltrating lymphocyteT-VEC

Identifiers

PMID35258792
OpenAlexW4220658704

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.