Evidence map›Paper›PMID 26911350›Full record

ArticleJournal of human genetics2016

Detection of high frequency of mutations in a breast and/or ovarian cancer cohort: implications of embracing a multi-gene panel in molecular diagnosis in India.

Ashraf U Mannan, Jaya Singh, Ravikiran Lakshmikeshava, Nishita Thota, Suhasini Singh, T S Sowmya, Avshesh Mishra, Aditi Sinha, Shivani Deshwal, Megha R Soni and 14 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
9.3field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 citations in OpenAlex.

  1. The Journal of international medical research · 2022
    Pooled it
  2. Pooled it
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  10. Marginal Contribution of PathogenicJournal of cancer & allied specialties · 2024
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  11. Article
  12. Modeling the impact of data sharing on variant classification.Journal of the American Medical Informatics Association : JAMIA · 2023
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  13. Somatic mutation detection andFrontiers in oncology · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. Lipoprotein Lipase Deficiency.Indian journal of pediatrics · 2021
    Article
  18. Article
  19. Identification of a Novel 19-bp Deletion Mutation inJournal of pediatric genetics · 2020
    Article
  20. Article
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

24 authors at 3 institutions in 2 countries.

Ashraf U MannanStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Jaya SinghStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Ravikiran LakshmikeshavaStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Nishita ThotaStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Suhasini SinghStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
T S SowmyaStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Avshesh MishraStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Aditi SinhaStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Shivani DeshwalStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Megha R SoniStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Anbukayalvizhi ChandrasekarStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Bhargavi RameshStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Bharat RamamurthyStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Shila PadhiStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Payal ManekStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Ravi RamalingamStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Suman KapoorStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Mithua GhoshTriesta Sciences, Health Care Global Enterprises Limited, Bangalore, India.
Satish SankaranStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Arunabha GhoshStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Vamsi VeeramachaneniStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Preveen RamamoorthyStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Ramesh HariharanStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Kalyanasundaram SubramanianStrand Center for Genomics and Personalized Medicine, Strand Life Sciences, Bangalore, India.
Strand Life Sciences (India) · INHealthcare Global Enterprises · INUniversity of Colorado Denver · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast and/or ovarian cancer (BOC) are among the most frequently diagnosed forms of hereditary cancers and leading cause of death in India. This emphasizes on the need for a cost-effective method for early detection of these cancers. We sequenced 141 unrelated patients and families with BOC using the TruSight Cancer panel, which includes 13 genes strongly associated with risk of inherited BOC. Multi-gene sequencing was done on the Illumina MiSeq platform. Genetic variations were identified using the Strand NGS software and interpreted using the StrandOmics platform. We were able to detect pathogenic mutations in 51 (36.2%) cases, out of which 19 were novel mutations. When we considered familial breast cancer cases only, the detection rate increased to 52%. When cases were stratified based on age of diagnosis into three categories, ⩽40 years, 40-50 years and >50 years, the detection rates were higher in the first two categories (44.4% and 53.4%, respectively) as compared with the third category, in which it was 26.9%. Our study suggests that next-generation sequencing-based multi-gene panels increase the sensitivity of mutation detection and help in identifying patients with a high risk of developing cancer as compared with sequential tests of individual genes.

Indexed as

MutationAdultAgedAge of OnsetBreast NeoplasmsDNA Copy Number VariationsFemaleGene DeletionGene DuplicationGenes, BRCA1Genes, BRCA2Genetic TestingHereditary Breast and Ovarian Cancer SyndromeHigh-Throughput Nucleotide SequencingHumansIndia

Identifiers

PMID26911350
OpenAlexW2276428629

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.