Evidence map›Paper›PMID 29186204›Full record

ArticlePloS one2017

Mocetinostat combined with gemcitabine for the treatment of leiomyosarcoma: Preclinical correlates.

Gonzalo Lopez, Danielle Braggio, Abeba Zewdu, Lucia Casadei, Kara Batte, Hemant Kumar Bid, David Koller, Peter Yu, Obiajulu Hans Iwenofu, Anne Strohecker and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Iranian journal of basic medical sciences · 2021
    Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Review
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

13 authors at 4 institutions in 2 countries.

Gonzalo LopezComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.ORCID http://orcid.org/0000-0002-1337-5050
Danielle BraggioComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Abeba ZewduComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Lucia CasadeiComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Kara BatteComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Hemant Kumar BidLife Science Institute, University of Michigan, Ann Arbor, MI, United States of America.
David KollerComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Peter YuComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Obiajulu Hans IwenofuDepartment of Pathology, The Ohio State University, Columbus, OH, United States of America.
Anne StroheckerComprehensive Cancer Center, The Ohio State University, Columbus, OH, United States of America.
Edwin ChoyDivision of Hematology Oncology, Massachusetts General Hospital, Boston, MA, United States of America.
Dina LevSurgery B, Sheba Medical Center, Tel Aviv, Israel.
Raphael PollockDepartment of Surgery, The Ohio State University, Columbus, OH, United States of America.
The Ohio State University · USMassachusetts General Hospital · USSheba Medical Center · ILUniversity of Michigan · US

Funding

Tissue and Pathology ResourcesU54CA168512 · NCI · SARC · PI BAKER, LAURENCE HOWARD, POLLOCK, RAPHAEL E. · 2012 to 2016
$11.0M
NCI NIH HHS U54 CA168512
6 · The paper itself

Abstract

Leiomyosarcoma (LMS) is a malignant soft tissue sarcoma (STS) with a dismal prognosis following metastatic disease. Chemotherapeutic intervention has demonstrated to have modest clinical efficacy with no curative potential in LMS patients. Previously, we demonstrated pan-HDAC inhibition to have a superior effect in various complex karyotypic sarcomas. In this study, our goal is to evaluate the therapeutic efficacy of mocetinostat alone and in combination with gemcitabine in LMS. Human leiomyosarcoma (LMS) cell lines were used for in vitro and in vivo studies. Compounds tested included the class I HDAC inhibitor, mocetinostat, and nucleoside analog, gemcitabine. MTS and clonogenic assays were used to evaluate the effect of mocetinostat on LMS cell growth. Cleaved caspase 3/7 analysis was used to determine the effects of mocetinostat on apoptosis. Compusyn software was used to determine in vitro synergy studies for the combination of mocetinostat plus gemcitabine. A LMS xenograft model in SCID mice was used to test the impact of mocetinostat alone, gemcitabine alone and the combination of mocetinostat plus gemcitabine. Mocetinostat abrogated LMS cell growth and clonogenic potential, and enhanced apoptosis in LMS cell lines. The combination of mocetinostat plus gemcitabine exhibited a synergistic effect in LMS cells in vitro. Similarly, mocetinostat combined with gemcitabine resulted in superior anti-LMS effects in vivo. Mocetinostat reduced the expression of gemcitabine-resistance markers RRM1, RRM2, and increased the expression of gemcitabine-sensitivity marker, hENT1, in LMS cells. LMS are aggressive, metastatic tumors with poor prognosis where effective therapeutic interventions are wanting. Our studies demonstrate the potential utility of mocetinostat combined with gemcitabine for the treatment of LMS.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsApoptosisBenzamidesCell DivisionCell Line, TumorDeoxycytidineDrug SynergismGemcitabineHumansLeiomyosarcomaPyrimidinesBenzamidesDeoxycytidineGemcitabinemocetinostatPyrimidines

Identifiers

PMID29186204
PMCPMC5706733
OpenAlexW2769136711

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.