Evidence map›Paper›PMID 25906748›Full record

ArticleOncotarget2015

Multi-platform profiling of over 2000 sarcomas: identification of biomarkers and novel therapeutic targets.

Sujana Movva, Wenhsiang Wen, Wangjuh Chen, Sherri Z Millis, Zoran Gatalica, Sandeep Reddy, Margaret von Mehren, Brian A Van Tine

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
–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

83 citing papers in PubMed.

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  9. Evaluation of Germline Pathogenic Variant ofAdvanced biomedical research · 2025
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  19. Targeting homologous recombination deficiency in uterine leiomyosarcoma.Journal of experimental & clinical cancer research : CR · 2023
    Article
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23 more citing papers are in PubMed but not listed here.

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

8 authors.

Sujana MovvaFox Chase Cancer Center, Philadelphia, PA, USA.
Wenhsiang WenCaris Life Sciences, Phoenix, AZ, USA.
Wangjuh ChenCaris Life Sciences, Phoenix, AZ, USA.
Sherri Z MillisCaris Life Sciences, Phoenix, AZ, USA.
Zoran GatalicaCaris Life Sciences, Phoenix, AZ, USA.
Sandeep ReddyCaris Life Sciences, Phoenix, AZ, USA.
Margaret von MehrenFox Chase Cancer Center, Philadelphia, PA, USA.
Brian A Van TineWashington University in St. Louis, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDrug development in sarcoma has been hampered by the rarity and heterogeneity of the disease and lack of predictive biomarkers to therapies. We assessed protein expression and gene alterations in a large number of bone and soft tissue sarcomas in order to categorize the molecular alterations, identify predictive biomarkers and discover new therapeutic targets.

methodsData from sarcoma specimens profiled for protein expression, gene amplification/translocation and DNA sequencing was reviewed.

results2539 sarcoma specimens of 22 subtypes were included. TOPO2A was the most overexpressed protein at 52.8%. There was overexpression or loss of other sarcoma relevant proteins such as SPARC, PTEN and MGMT. Approximately 50% of the sarcomas expressed PD-L1 by IHC and presented with PD-1+ TILs, notably the LMS, chondrosarcomas, liposarcomas and UPS. Gene amplification/rearrangement of ALK, cMYC, HER2, PIK3CA, TOPO2A and cMET was relatively uncommon. EGFR gene amplification occurred at a rate of 16.9%. DNA sequencing of 47 genes identified mutations in 47% of the samples. The most commonly mutated genes were TP53 (26.3%) and BRCA2 (17.6%). Overexpression of TOPO2A was associated with TP53 mutation (P = 0.0001).

conclusionThis data provides the landscape of alterations in sarcoma. Future clinical trials are needed to validate these targets.

Indexed as

Biomarkers, TumorHumansIn Situ Hybridization, FluorescenceMutationSarcomaSequence Analysis, DNABiomarkers, TumorbiomarkersDNA sequencingprotein expressionsarcomatargeted therapies

Identifiers

PMID25906748
PMCPMC4494935

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Registered trials

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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.