Evidence map›Paper›PMID 38674331›Full record

ArticleGenes2024

Comprehensive Analysis of Clinically Relevant Copy Number Alterations (CNAs) Using a 523-Gene Next-Generation Sequencing Panel and NxClinical Software in Solid Tumors.

Vivek Gupta, Vishakha Vashisht, Ashutosh Vashisht, Ashis K Mondal, Ahmet Alptekin, Harmanpreet Singh, Ravindra Kolhe

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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 at 1 institution in 2 countries.

Vivek GuptaDepartment of Pathology, Government Institute of Medical Sciences, Greater Noida 201310, India.ORCID 0000-0002-7830-4616
Vishakha VashishtDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ashutosh VashishtDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ashis K MondalDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0003-3826-9489
Ahmet AlptekinDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-7039-1911
Harmanpreet SinghDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.
Ravindra KolheDepartment of Pathology, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA.ORCID 0000-0002-8283-2403
Augusta University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copy number alterations (CNAs) are significant in tumor initiation and progression. Identifying these aberrations is crucial for targeted therapies and personalized cancer diagnostics. Next-generation sequencing (NGS) methods present advantages in scalability and cost-effectiveness, surpassing limitations associated with reference assemblies and probe capacities in traditional laboratory approaches. This retrospective study evaluated CNAs in 50 FFPE tumor samples (breast cancer, ovarian carcinoma, pancreatic cancer, melanoma, and prostate carcinoma) using Illumina's TruSight Oncology 500 (TSO500) and the Affymetrix Oncoscan Molecular Inversion Probe (OS-MIP) (ThermoFisher Scientific, Waltham, MA, USA). NGS analysis with the NxClinical 6.2 software demonstrated a high sensitivity and specificity (100%) for CNA detection, with a complete concordance rate as compared to the OS-MIP. All 54 known CNAs were identified by NGS, with gains being the most prevalent (63%). Notable CNAs were observed in

Indexed as

DNA Copy Number VariationsHigh-Throughput Nucleotide SequencingNeoplasmsSoftwareFemaleHumansMaleRetrospective StudiesCopy Number AlterationsFFPE Solid TumorMolecular Inversion ProbeNext-Generation SequencingNxClinical Software

Identifiers

PMID38674331
PMCPMC11049607
OpenAlexW4393142614

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.