Evidence map›Paper›PMID 31528332›Full record

ArticleClinical sarcoma research2019

A clinico-genomic analysis of soft tissue sarcoma patients reveals CDKN2A deletion as a biomarker for poor prognosis.

Nam Q Bui, Joanna Przybyl, Sally E Trabucco, Garrett Frampton, Trevor Hastie, Matt van de Rijn, Kristen N Ganjoo

Open access · diamondAbstract read
In one paragraph

Article in Clinical sarcoma research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Nam Q Bui1Department of Medicine (Oncology), Stanford University School of Medicine, 875 Blake Wilbur Drive, Stanford, CA 94305 USA.ORCID 0000-0001-6896-4349
Joanna Przybyl2Department of Pathology, Stanford University School of Medicine, Stanford, CA USA.
Sally E Trabucco3Foundation Medicine, Cambridge, MA USA.
Garrett Frampton3Foundation Medicine, Cambridge, MA USA.
Trevor Hastie4Department of Statistics, Stanford University, Stanford, CA USA.
Matt van de Rijn2Department of Pathology, Stanford University School of Medicine, Stanford, CA USA.
Kristen N Ganjoo1Department of Medicine (Oncology), Stanford University School of Medicine, 875 Blake Wilbur Drive, Stanford, CA 94305 USA.
Stanford Medicine · USGlobalFoundries (United States) · USStanford University · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
NCI NIH HHS P30 CA124435
6 · The paper itself

Abstract

backgroundSarcomas are a rare, heterogeneous group of tumors with variable tendencies for aggressive behavior. Molecular markers for prognosis are needed to risk stratify patients and identify those who might benefit from more intensive therapeutic strategies. PATIENTS AND

methodsWe analyzed somatic tumor genomic profiles and clinical outcomes of 152 soft tissue (STS) and bone sarcoma (BS) patients sequenced at Stanford Cancer Institute as well as 206 STS patients from The Cancer Genome Atlas. Genomic profiles of 7733 STS from the Foundation Medicine database were used to assess the frequency of

resultsCompared to all other tumor types, sarcomas were found to carry the highest relative percentage of gene amplifications/deletions/fusions and the lowest average mutation count. The most commonly altered genes in STS were

conclusionOur clinico-genomic profiling of STS shows that

Indexed as

CDKN2AGenomicsPrognostic markersSoft tissue sarcoma

Identifiers

PMID31528332
PMCPMC6739971
OpenAlexW2972349329

What OpenQuestion holds

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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.