Evidence map›Paper›PMID 27722982›Full record

ReviewPathology oncology research : POR2017

Clinical Applications of Next-Generation Sequencing in Cancer Diagnosis.

Leila Sabour, Maryam Sabour, Saeid Ghorbian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Pathology oncology research : POR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 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

63 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Biochemistry and biophysics reports · 2025
    Article
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  19. Melanoma genomics - will we go beyond BRAF in clinics?Journal of cancer research and clinical oncology · 2024
    Review
  20. Article

3 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

3 authors.

Leila SabourDepartment of Molecular Biology, Ahar Branch, Islamic Azad University, Ahar, Iran.
Maryam SabourDepartment of Molecular Biology, Ahar Branch, Islamic Azad University, Ahar, Iran.
Saeid GhorbianDepartment of Molecular Biology, Ahar Branch, Islamic Azad University, Ahar, Iran. ghorbian20@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advancement and improvement of new sequencing technology, next-generation sequencing (NGS) has been applied increasingly in cancer genomics research fields. More recently, NGS has been adopted in clinical oncology to advance personalized treatment of cancer. NGS is utilized to novel diagnostic and rare cancer mutations, detection of translocations, inversions, insertions and deletions, detection of copy number variants, detect familial cancer mutation carriers, provide the molecular rationale for appropriate targeted, therapeutic and prognostic. NGS holds many advantages, such as the ability to fully sequence all types of mutations for a large number of genes (hundreds to thousands) and the sensitivity, speed in a single test at a relatively low cost compared to be other sequencing modalities. Here we described the technology, methods and applications that can be immediately considered and some of the challenges that lie ahead.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingHumansMutationNeoplasmsSequence Analysis, DNACancerClinical practiceDiagnosisNext-generation sequencingNGS

Identifiers

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.