Evidence map›Paper›PMID 28860410›Full record

ArticleThe oncologist2018

Next-Generation Sequencing for Patients with Sarcoma: A Single Center Experience.

Gregory M Cote, Jie He, Edwin Choy

Abstract read
In one paragraph

Article in The oncologist, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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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

3 authors.

Gregory M CoteCenter for Sarcoma and Connective Tissue Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA gcote@mgh.harvard.edu.
Jie HeFoundation Medicine Inc, Cambridge, Massachusetts, USA.
Edwin ChoyCenter for Sarcoma and Connective Tissue Oncology, Massachusetts General Hospital, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcomas comprise over 50 subtypes of mesenchymal cancers. For the majority of sarcomas, the driver mutations remain unknown. In this article, we describe our experience with a targeted next-generation sequencing (NGS) platform in clinic patients. MATERIALS AND

methodsWe retrospectively analyzed results of NGS using 133 tumor samples from patients diagnosed with a variety of sarcomas that were analyzed with targeted NGS covering over 400 cancer-related genes (405 DNA, 265 RNA) on a commercially available platform.

resultsAn average of two gene alterations were identified per tumor sample (range 0-14), and a total of 342 DNA mutations were detected. Eight-eight percent of samples had at least one detected mutation. The most common mutations were in the cell cycle, including TP53 (

conclusionOur study describes a single-center experience with targeted NGS for patients with sarcoma. Mutations were readily detected and 75 (representing 40% of patients) were testable for therapeutic effect using existing drugs within the confines of a clinical trial. These data indicate that targeted NGS is a useful tool in potentially routing patients to mutation-specific clinical trials. Further study will be required to determine if these mutations are clinically meaningful drug targets in sarcoma. IMPLICATIONS FOR PRACTICE: The sarcomas are a heterogenous family of over 50 different mesenchymal tumors. Current practice for metastatic disease involves systemic chemotherapy or nonspecific kinase inhibitors such as pazopanib. Sarcomas typically lack the classic kinase alterations seen in many carcinomas. The role of next-generation sequencing in sarcoma clinical practice remains undefined.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsFollow-Up StudiesHigh-Throughput Nucleotide SequencingHumansPrognosisRetrospective StudiesSarcomaHigh‐throughput nucleotide sequencingMutationPrecision medicineSarcoma

Identifiers

PMID28860410
PMCPMC5813739

What OpenQuestion holds

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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.