Evidence map›Paper›PMID 25625925›Full record

ReviewHuman vaccines & immunotherapeutics2014

Potential for immunotherapy in soft tissue sarcoma.

William W Tseng, Neeta Somaiah, Edgar G Engleman

Open access · bronzeAbstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

17 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Immunotherapies in sarcoma: Updates and future perspectives.World journal of clinical oncology · 2017
    Review
  14. Review
  15. Article
  16. Article
  17. 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 3 institutions in 1 country.

William W Tsenga Section of Surgical Oncology; Division of Upper GI/General Surgery; Department of Surgery ; University of Southern California; Keck School of Medicine ; Los Angeles , CA USA.
Neeta Somaiah
Edgar G Engleman
Stanford University · USThe University of Texas MD Anderson Cancer Center · USUniversity of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Soft tissue sarcomas (STS) are rare, heterogeneous tumors of mesenchymal origin. Despite optimal treatment, a large proportion of patients will develop recurrent and metastatic disease. For these patients, current treatment options are quite limited. Significant progress has been made recently in the use of immunotherapy for the treatment of other solid tumors (e.g. prostate cancer, melanoma). There is a strong rationale for immunotherapy in STS, based on an understanding of disease biology. For example, STS frequently have chromosomal translocations which result in unique fusion proteins and specific subtypes have been shown to express cancer testis antigens. In this review, we discuss the current status of immunotherapy in STS, including data from human studies with cancer vaccines, adoptive cell therapy, and immune checkpoint blockade. Further research into STS immunology is needed to help design logical, subtype-specific immunotherapeutic strategies.

Indexed as

Cancer VaccinesCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesDendritic CellsHumansImmunotherapy, AdoptiveNeoplasm Recurrence, LocalSarcomaCancer Vaccinesadoptive cell therapycancer vaccinesimmune checkpoint blockadeimmunotherapysoft tissue sarcoma

Identifiers

PMID25625925
PMCPMC4514087
OpenAlexW2023101691

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.