Evidence map›Paper›PMID 28137276›Full record

ArticleJournal of translational medicine2017

Towards standardization of next-generation sequencing of FFPE samples for clinical oncology: intrinsic obstacles and possible solutions.

Maxim Ivanov, Konstantin Laktionov, Valery Breder, Polina Chernenko, Ekaterina Novikova, Ekaterina Telysheva, Sergey Musienko, Ancha Baranova, Vladislav Mileyko

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

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  13. An optimizedJournal of gynecologic oncology · 2020
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  17. Modified SureSelectBiological procedures online · 2018
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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

9 authors at 4 institutions in 1 country.

Maxim IvanovMoscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, 141700, Russia.
Konstantin LaktionovN.N. Blokhin Russian Cancer Research Center, Ministry of Health of the Russian Federation, Kashirskoe sh. 24, Moscow, 115478, Russia.
Valery BrederN.N. Blokhin Russian Cancer Research Center, Ministry of Health of the Russian Federation, Kashirskoe sh. 24, Moscow, 115478, Russia.
Polina ChernenkoN.N. Blokhin Russian Cancer Research Center, Ministry of Health of the Russian Federation, Kashirskoe sh. 24, Moscow, 115478, Russia.
Ekaterina NovikovaFederal State Budgetary Institution Russian Scientific Center of Roentgenoradiology (RSCRR) of the Ministry of Healthcare of the Russian Federation (Russian Scientific Center of Roentgenoradiology), Moscow, 117485, Russia.
Ekaterina TelyshevaFederal State Budgetary Institution Russian Scientific Center of Roentgenoradiology (RSCRR) of the Ministry of Healthcare of the Russian Federation (Russian Scientific Center of Roentgenoradiology), Moscow, 117485, Russia.
Sergey MusienkoAtlas Biomed Group, Moscow, 121069, Russia.
Ancha BaranovaMoscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, 141700, Russia. abaranov@gmu.edu.
Vladislav MileykoAtlas Biomed Group, Moscow, 121069, Russia.
Ministry of Health of the Russian Federation · RUInstitute of Chemical Biology and Fundamental Medicine · RUMoscow Institute of Physics and Technology · RURussian Cancer Research Center NN Blokhin · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNext generation sequencing has a potential to revolutionize the management of cancer patients within the framework of precision oncology. Nevertheless, lack of standardization decelerated entering of the technology into the clinical testing space. Here we dissected a number of common problems of NGS diagnostics in oncology and introduced ways they can be resolved.

methodsDNA was extracted from 26 formalin fixed paraffin embedded (FFPE) specimens and processed with the TrueSeq Amplicon Cancer Panel (Illumina Inc, San Diego, California) targeting 48 cancer-related genes and sequenced in single run. Sequencing data were comparatively analyzed by several bioinformatics pipelines.

resultsLibraries yielded sufficient coverage to detect even low prevalent mutations. We found that the number of FFPE sequence artifacts significantly correlates with pre-normalization concentration of libraries (rank correlation -0.81; p < 1e-10), thus, contributing to sample-specific variant detection cut-offs. Surprisingly, extensive validation of EGFR mutation calls by a combination of aligners and variant callers resulted in identification of two false negatives and one false positive that were due to complexity of underlying genomic change, confirmed by Sanger sequencing. Additionally, the study of the non-EGFR amplicons revealed 33 confirmed unique mutations in 17 genes, with TP53 being the most frequently mutated. Clinical relevance of these finding is discussed.

conclusionsReporting of entire mutational spectrum revealed by targeted sequencing is questionable, at least until the clinically-driven guidelines on reporting of somatic mutations are established. The standardization of sequencing protocols, especially their data analysis components, requires assay-, disease-, and, in many cases, even sample-specific customization that could be performed only in cooperation with clinicians.

Indexed as

Medical OncologyParaffin EmbeddingTissue FixationArtifactsDNADNA Copy Number VariationsExonsFormaldehydeGene FrequencyHigh-Throughput Nucleotide SequencingHumansIncidental FindingsMutationReference StandardsDNAFormaldehydeCancerNGSNon-small cell lung cancerOncologyPrecision oncologyTargeted therapy

Identifiers

PMID28137276
PMCPMC5282851
OpenAlexW2582160031

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.