Evidence map›Paper›PMID 32047232›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2020

A novel next generation sequencing approach to improve sarcoma diagnosis.

Lauren McConnell, Oisín Houghton, Peter Stewart, Jana Gazdova, Shambhavi Srivastava, Chang Kim, Mark Catherwood, Anna Strobl, Adrienne M Flanagan, Anca Oniscu and 5 more

Open access · greenAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.9field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

  1. Clinical case reports · 2026
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  8. Artificial intelligence-augmented histopathologic review using image analysis to optimize DNA yield from formalin-fixed paraffin-embedded slides.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
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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

15 authors at 6 institutions in 3 countries.

Lauren McConnellCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.ORCID http://orcid.org/0000-0003-3396-698X
Oisín HoughtonBelfast Health & Social Care Trust, Belfast, BT9 7AB, UK.
Peter StewartCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.
Jana GazdovaCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.
Shambhavi SrivastavaCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.
Chang KimCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.
Mark CatherwoodBelfast Health & Social Care Trust, Belfast, BT9 7AB, UK.
Anna StroblRoyal National Orthopedic Hospital Stanmore, Middlesex, HA7 4LP, UK.
Adrienne M FlanaganRoyal National Orthopedic Hospital Stanmore, Middlesex, HA7 4LP, UK.
Anca OniscuPathology Department at the Royal Infirmary of Edinburgh, Edinburgh, EH16 4SA, UK.
Leonie I KroezeDepartment of Pathology, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Patricia GroenenDepartment of Pathology, Radboud University Medical Center, 6525 GA, Nijmegen, The Netherlands.
Philippe TanierePathology Department at Queen's Elizabeth Hospital Birmingham, Birmingham, B15 2TH, UK.
Manuel Salto-TellezCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK.
David GonzalezCCRCB, Queen's University Belfast, Belfast, BT9 7AE, UK. D.GonzalezdeCastro@qub.ac.uk.ORCID http://orcid.org/0000-0003-0580-5636
Queen's University Belfast · GBBelfast Health and Social Care Trust · GBRadboud University Nijmegen · NLRoyal National Orthopaedic Hospital · GBEdinburgh Royal Infirmary · GBQueen Elizabeth Hospital Birmingham · GB

Funding

Cancer Research UK 20256
6 · The paper itself

Abstract

Sarcoma is a rare disease affecting both bone and connective tissue and with over 100 pathologic entities, differential diagnosis can be difficult. Complementing immune-histological diagnosis with current ancillary diagnostic techniques, including FISH and RT-PCR, can lead to inconclusive results in a significant number of cases. We describe here the design and validation of a novel sequencing tool to improve sarcoma diagnosis. A NGS DNA capture panel containing probes for 87 fusion genes and 7 genes with frequent copy number changes was designed and optimized. A cohort of 113 DNA samples extracted from soft-tissue and bone sarcoma FFPE material with clinical FISH and/or RT-PCR results positive for either a translocation or gene amplification was used for validation of the NGS method. Sarcoma-specific translocations or gene amplifications were confirmed in 110 out of 113 cases using FISH and/or RT-PCR as gold-standard. MDM2/CDK4 amplification and a total of 25 distinct fusion genes were identified in this cohort of patients using the NGS approach. Overall, the sensitivity of the NGS panel is 97% with a specificity of 100 and 0% failure rate. Targeted NGS appears to be a feasible and cost-effective approach to improve sarcoma subtype diagnosis with the ability to screen for a wide range of genetic aberrations in one test.

Indexed as

Biomarkers, TumorHigh-Throughput Nucleotide SequencingHumansSarcomaSensitivity and SpecificitySequence Analysis, DNABiomarkers, Tumor

Identifiers

PMID32047232
OpenAlexW3006180292

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.