Evidence map›Paper›PMID 24565018›Full record

ArticleJournal of hematology & oncology2014

A novel mycobacterial Hsp70-containing fusion protein targeting mesothelin augments antitumor immunity and prolongs survival in murine models of ovarian cancer and mesothelioma.

Jianping Yuan, Satoshi Kashiwagi, Patrick Reeves, Jean Nezivar, Yuan Yang, Nadiah Hashim Arrifin, Mai Nguyen, Gilberte Jean-Mary, Xiaoyun Tong, Paramjit Uppal and 13 more

Open access · goldAbstract read
In one paragraph

Article in Journal of hematology & oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.1field-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

23 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. CD90Oncotarget · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. HSP70-based anti-cancer immunotherapy.Human vaccines & immunotherapeutics · 2016
    Article
  18. Review
  19. Review
  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

23 authors at 5 institutions in 1 country.

Jianping Yuan
Satoshi Kashiwagi
Patrick Reeves
Jean Nezivar
Yuan Yang
Nadiah Hashim Arrifin
Mai Nguyen
Gilberte Jean-Mary
Xiaoyun Tong
Paramjit Uppal
Svetlana Korochkina
Ben Forbes
Tao Chen
Elda Righi
Roderick Bronson
Huabiao Chen
Sandra Orsulic
Timothy Brauns
Pierre Leblanc
Nathalie Scholler
Glenn Dranoff
Jeffrey Gelfand
Mark C PoznanskyVaccine and Immunotherapy Center, Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, 149 13th Street, Charlestown, Boston, MA 02129, USA. mpoznansky@partners.org.
Massachusetts General Hospital · USHarvard University · USCancer Research Center · USCedars-Sinai Medical Center · USRagon Institute of MGH, MIT and Harvard · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough dendritic cell (DC) vaccines are considered to be promising treatments for advanced cancer, their production and administration is costly and labor-intensive. We developed a novel immunotherapeutic agent that links a single-chain antibody variable fragment (scFv) targeting mesothelin (MSLN), which is overexpressed on ovarian cancer and mesothelioma cells, to Mycobacterium tuberculosis (MTB) heat shock protein 70 (Hsp70), which is a potent immune activator that stimulates monocytes and DCs, enhances DC aggregation and maturation and improves cross-priming of T cells mediated by DCs.

methodsBinding of this fusion protein with MSLN on the surface of tumor cells was measured by flow cytometry and fluorescence microscopy. The therapeutic efficacy of this fusion protein was evaluated in syngeneic and orthotopic mouse models of papillary ovarian cancer and malignant mesothelioma. Mice received 4 intraperitoneal (i.p.) treatments with experimental or control proteins post i.p. injection of tumor cells. Ascites-free and overall survival time was measured. For the investigation of anti-tumor T-cell responses, a time-matched study was performed. Splenocytes were stimulated with peptides, and IFNγ- or Granzyme B- generating CD3+CD8+ T cells were detected by flow cytometry. To examine the role of CD8+ T cells in the antitumor effect, we performed in vivo CD8+ cell depletion. We further determined if the fusion protein increases DC maturation and improves antigen presentation as well as cross-presentation by DCs.

resultsWe demonstrated in vitro that the scFvMTBHsp70 fusion protein bound to the tumor cells used in this study through the interaction of scFv with MSLN on the surface of these cells, and induced maturation of bone marrow-derived DCs. Use of this bifunctional fusion protein in both mouse models significantly enhanced survival and slowed tumor growth while augmenting tumor-specific CD8+ T-cell dependent immune responses. We also demonstrated in vitro and in vivo that the fusion protein enhanced antigen presentation and cross-presentation by targeting tumor antigens towards DCs.

conclusionsThis new cancer immunotherapy has the potential to be cost-effective and broadly applicable to tumors that overexpress mesothelin.

Indexed as

AnimalsCancer VaccinesDendritic CellsDisease-Free SurvivalDisease Models, AnimalFemaleGPI-Linked ProteinsHSP70 Heat-Shock ProteinsHumansLung NeoplasmsMesothelinMesotheliomaMesothelioma, MalignantMiceMice, Inbred C57BLOvarian NeoplasmsCancer VaccinesGPI-Linked ProteinsHSP70 Heat-Shock ProteinsMesothelinMSLN protein, humanMsln protein, mouseRecombinant Proteins

Identifiers

PMID24565018
PMCPMC3943805
OpenAlexW2161605329

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.