Evidence map›Paper›PMID 35402176›Full record

ArticleTranslational cancer research2022

Molecular profiling of gene fusions in soft tissue sarcomas by Ion AmpliSeq

Rong Wei, Feng Gao, Zixin Zeng, Ziwei Gui, Yangwei Shang, Ningning Shen, Ziyue Wang, Weixia Han, Honghong Shen, Xin Li and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

13 authors at 2 institutions in 1 country.

Rong Wei *Department of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Feng Gao *Department of Orthopedics, Sixth Clinical Medical College, Shanxi Medical University, Taiyuan, China.
Zixin ZengDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Ziwei GuiDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Yangwei ShangDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Ningning ShenDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Ziyue WangDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Weixia HanDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Honghong ShenDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Xin LiDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Li EDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Wenxia MaDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Chen WangDepartment of Pathology, Second Hospital of Shanxi Medical University, Taiyuan, China.
Second Hospital of Shanxi Medical University · CNShanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The accurate diagnosis of sarcoma can be difficult as there are over 70 different subtypes. While molecular profiling in soft tissue sarcoma (STS) has gradually been incorporated into routine diagnostics, conventional methods such as fluorescence in situ hybridization (FISH), reverse transcriptase-PCR (RT-PCR), and Sanger sequencing have several drawbacks. By allowing simultaneous analysis of multiple targets and increasing sequencing depth to achieve ultra-sensitivity, next-generation sequencing (NGS) can not only detect common genetic abnormalities without prior assumptions but also identify uncommon or even new variants. Methods: In this study, the applicability of NGS in assessing STS using the Ion Torrent Proton was evaluated and compared with other methods. A cohort of 35 tissue specimens from STS patients, including alveolar soft-part sarcoma (ASPS), Ewing's sarcoma (ES), synovial sarcoma (SS), dermatofibrosarcoma protuberans (DFSP), and myxoid liposarcoma (MLPS) patients, were subjected to NGS by an Ion AmpliSeqTM Custom panel. Results: A proportion of 97.14% (34/35) were successfully conducted to detect gene fusion positive events and met all criteria for good quality. The concordance between NGS and conventional techniques was 94.12% (32/34). NGS also showed superior results, as Sanger sequencing and FISH in two cases were false negatives, demonstrating the excellent diagnostic utility of NGS for translocation detection in STS. Conclusions: The results in this study show the potential for NGS to aid in diagnosis and clinical monitoring of STS and warrant additional studies in larger cohorts.

Indexed as

fluorescence in situ hybridization (FISH)gene fusionmolecular profilingnext generation sequencingSoft tissue sarcoma (STS)

Identifiers

PMID35402176
PMCPMC8990829
OpenAlexW4223444521

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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.