Evidence map›Paper›PMID 27173057›Full record

ReviewCellular and molecular life sciences : CMLS2016

Liposarcoma: molecular targets and therapeutic implications.

Kate Lynn J Bill, Lucia Casadei, Bethany C Prudner, Hans Iwenofu, Anne M Strohecker, Raphael E Pollock

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Liposarcoma: State of the Art-A Scoping Review.Medical sciences (Basel, Switzerland) · 2026
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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

6 authors.

Kate Lynn J BillThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Lucia CasadeiThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Bethany C PrudnerThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Hans IwenofuThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Anne M StroheckerThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA.
Raphael E PollockThe James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, USA. Raphael.Pollock@osumc.edu.

Funding

Tissue and Pathology ResourcesU54CA168512 · NCI · SARC · PI REINKE, DENISE · 2012 to 2016
$11.0M
NCI NIH HHS U54 CA168512
6 · The paper itself

Abstract

Liposarcoma (LPS) is the most common soft tissue sarcoma and accounts for approximately 20 % of all adult sarcomas. Current treatment modalities (surgery, chemotherapy, and radiotherapy) all have limitations; therefore, molecularly driven studies are needed to improve the identification and increased understanding of genetic and epigenetic deregulations in LPS if we are to successfully target specific tumorigenic drivers. It can be anticipated that such biology-driven therapeutics will improve treatments by selectively deleting cancer cells while sparing normal tissues. This review will focus on several therapeutically actionable molecular markers identified in well-differentiated LPS and dedifferentiated LPS, highlighting their potential clinical applicability.

Indexed as

Molecular Targeted TherapyAnimalsBiomarkers, TumorDisease ProgressionHumansLiposarcomaMicroRNAsBiomarkers, TumorMicroRNAs12q13–15 ampliconsBiomarkerDedifferentiated liposarcomaExosomeMDM2miRNAsMolecular-cytogenetic analysis

Identifiers

PMID27173057
PMCPMC7175098

What OpenQuestion holds

Textmetadata
LicenceTDM
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.