Evidence map›Paper›PMID 27578032›Full record

ArticleBMC cancer2016

Performance comparison of two commercial human whole-exome capture systems on formalin-fixed paraffin-embedded lung adenocarcinoma samples.

Silvia Bonfiglio, Irene Vanni, Valeria Rossella, Anna Truini, Dejan Lazarevic, Maria Giovanna Dal Bello, Angela Alama, Marco Mora, Erika Rijavec, Carlo Genova and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC cancer, 2016. 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
2.1field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 33 citations in OpenAlex.

  1. Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
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  6. Why Formalin-fixed, Paraffin-embedded Biospecimens Must Be Used in Genomic Medicine: An Evidence-based Review and Conclusion.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2020
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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 2 countries.

Silvia BonfiglioCentre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Via Olgettina 58, Milan, 20132, Italy. bonfiglio.silvia@hsr.it.
Irene VanniLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Valeria RossellaCentre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Via Olgettina 58, Milan, 20132, Italy.
Anna TruiniLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Dejan LazarevicCentre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Via Olgettina 58, Milan, 20132, Italy.
Maria Giovanna Dal BelloLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Angela AlamaLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Marco MoraDepartment of Pathology, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Erika RijavecLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Carlo GenovaLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Davide CittaroCentre for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, Via Olgettina 58, Milan, 20132, Italy.
Francesco GrossiLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy.
Simona CocoLung Cancer Unit, IRCCS AOU San Martino - IST National Cancer Research Institute, L.go R. Benzi 10, Genoa, 16132, Italy. simona.coco@hsanmartino.it.ORCID 0000-0002-5296-4325
Ospedale Policlinico San Martino · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext Generation Sequencing (NGS) has become a valuable tool for molecular landscape characterization of cancer genomes, leading to a better understanding of tumor onset and progression, and opening new avenues in translational oncology. Formalin-fixed paraffin-embedded (FFPE) tissue is the method of choice for storage of clinical samples, however low quality of FFPE genomic DNA (gDNA) can limit its use for downstream applications.

methodsTo investigate the FFPE specimen suitability for NGS analysis and to establish the performance of two solution-based exome capture technologies, we compared the whole-exome sequencing (WES) data of gDNA extracted from 5 fresh frozen (FF) and 5 matched FFPE lung adenocarcinoma tissues using: SeqCap EZ Human Exome v.3.0 (Roche NimbleGen) and SureSelect XT Human All Exon v.5 (Agilent Technologies).

resultsSequencing metrics on Illumina HiSeq were optimal for both exome systems and comparable among FFPE and FF samples, with a slight increase of PCR duplicates in FFPE, mainly in Roche NimbleGen libraries. Comparison of single nucleotide variants (SNVs) between FFPE-FF pairs reached overlapping values >90 % in both systems. Both WES showed high concordance with target re-sequencing data by Ion PGM™ in 22 lung-cancer genes, regardless the source of samples. Exon coverage of 623 cancer-related genes revealed high coverage efficiency of both kits, proposing WES as a valid alternative to target re-sequencing.

conclusionsHigh-quality and reliable data can be successfully obtained from WES of FFPE samples starting from a relatively low amount of input gDNA, suggesting the inclusion of NGS-based tests into clinical contest. In conclusion, our analysis suggests that the WES approach could be extended to a translational research context as well as to the clinic (e.g. to study rare malignancies), where the simultaneous analysis of the whole coding region of the genome may help in the detection of cancer-linked variants.

Indexed as

Reagent Kits, DiagnosticAdenocarcinomaAdenocarcinoma of LungDNA, NeoplasmExomeFormaldehydeGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsParaffin EmbeddingTissue FixationDNA, NeoplasmFormaldehydeReagent Kits, DiagnosticCancer-related genesExome sequencingFFPELung adenocarcinomaQuality controlSolution-based capture

Identifiers

PMID27578032
PMCPMC5004269
OpenAlexW2517216747

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.