Evidence map›Paper›PMID 27980425›Full record

ReviewOncoTargets and therapy2016

Next-generation sequencing: advances and applications in cancer diagnosis.

Simona Serratì, Simona De Summa, Brunella Pilato, Daniela Petriella, Rosanna Lacalamita, Stefania Tommasi, Rosamaria Pinto

Abstract readReview
In one paragraph

Review in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
102citing papers in PubMed, 3 pooled it
–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

102 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
  5. Article
  6. Molecular origin, discovery, validation and application of neoantigens.Asian journal of pharmaceutical sciences · 2026
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  19. RapidExtracellular vesicles and circulating nucleic acids · 2025
    Article
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42 more citing papers are in PubMed but not listed here.

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

7 authors.

Simona SerratìMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Simona De SummaMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Brunella PilatoMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Daniela PetriellaMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Rosanna LacalamitaMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Stefania TommasiMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.
Rosamaria PintoMolecular Genetics Laboratory, IRCCS Istituto Tumori Giovanni Paolo II, Bari, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances have led to the introduction of next-generation sequencing (NGS) platforms in cancer investigation. NGS allows massive parallel sequencing that affords maximal tumor genomic assessment. NGS approaches are different, and concern DNA and RNA analysis. DNA sequencing includes whole-genome, whole-exome, and targeted sequencing, which focuses on a selection of genes of interest for a specific disease. RNA sequencing facilitates the detection of alternative gene-spliced transcripts, posttranscriptional modifications, gene fusion, mutations/single-nucleotide polymorphisms, small and long noncoding RNAs, and changes in gene expression. Most applications are in the cancer research field, but lately NGS technology has been revolutionizing cancer molecular diagnostics, due to the many advantages it offers compared to traditional methods. There is greater knowledge on solid cancer diagnostics, and recent interest has been shown also in the field of hematologic cancer. In this review, we report the latest data on NGS diagnostic/predictive clinical applications in solid and hematologic cancers. Moreover, since the amount of NGS data produced is very large and their interpretation is very complex, we briefly discuss two bioinformatic aspects, variant-calling accuracy and copy-number variation detection, which are gaining a lot of importance in cancer-diagnostic assessment.

Indexed as

colorectal cancerhematologic cancerhereditary breast cancerlung cancermelanomaprostate cancerthyroid cancer

Identifiers

PMID27980425
PMCPMC5144906

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.