Evidence map›Paper›PMID 20183915›Full record

Trial reportAnnals of surgical oncology2010

Added Value of Molecular Biological Analysis in Diagnosis and Clinical Management of Liposarcoma: A 30-Year Single-Institution Experience.

Ronald S A de Vreeze, Daphne de Jong, Petra M Nederlof, Aafke Ariaens, Ivon H G Tielen, Luc Frenken, Rick L Haas, Frits van Coevorden

Abstract readClinical Trial
In one paragraph

Trial report in Annals of surgical oncology, 2010. 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
–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

17 citing papers in PubMed.

  1. Aplidin in patients with advanced dedifferentiated liposarcomas: a French Sarcoma Group Single-Arm Phase II study.Annals of oncology : official journal of the European Society for Medical Oncology · 2015
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  10. Potential for immunotherapy in soft tissue sarcoma.Human vaccines & immunotherapeutics · 2014
    Review
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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

8 authors.

Ronald S A de VreezeDepartments of Surgical Oncology, The Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands. r.d.vreeze@nki.nl
Daphne de Jong
Petra M Nederlof
Aafke Ariaens
Ivon H G Tielen
Luc Frenken
Rick L Haas
Frits van Coevorden

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTreatment decisions and prognosis assessment for liposarcoma is based on a classification that depends on morphological and genetic features. Revisions by experienced referral pathologists are often advocated.

methodsThe process of histopathological classification in referring hospitals and subsequently in a referral center in relation to molecular biological information is evaluated. A total of 331 consecutive liposarcoma patients were evaluated for the added value of histological review at time of referral. Subsequently, cases were reclassified with implementation of present-day molecular information. For all patients, complete data on staging, treatment, and follow-up were available.

resultsUpon histological revision, 15/54 (28%) diagnoses were reclassified in the first decade, 14/65 (22%) in the second, and 14/53 (26%) in the last decade. Molecular biological analysis enabled well-differentiated liposarcoma with or without dedifferentiated component to be better recognized as such and distinguished from myxoid liposarcoma and pleomorphic liposarcoma. Inclusion of cytogenetic information resulted in reclassification after revision in 4/18 (22%) cases in the first decade, 10/38 (26%) cases in the second decade, and 19/75 (25%) cases in the last decade.

conclusionsThis study indicates that liposarcomas are heterogeneous tumors. Expert assessment and implementation of molecular biological analysis are valuable for adequate classification as a basis for treatment decisions.

Indexed as

Chromosomes, Human, Pair 12Clinical Laboratory TechniquesCohort StudiesCyclin-Dependent Kinase 4Diagnosis, DifferentialDNA, NeoplasmFemaleHumansLiposarcomaMaleOncogene Proteins, FusionPolymerase Chain ReactionPrognosisSurvival RateCDK4 protein, humanCyclin-Dependent Kinase 4DNA, NeoplasmOncogene Proteins, Fusion

Identifiers

PMID20183915
PMCPMC2820685

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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.