Evidence map›Paper›PMID 25972994›Full record

ArticleThe open medical informatics journal2015

Characterization of chromosomal translocation breakpoint sequences in solid tumours: "an in silico analysis".

Aditi Daga, Afzal Ansari, Rakesh Rawal, Valentina Umrania

Open access · diamondAbstract read
In one paragraph

Article in The open medical informatics journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

4 authors at 3 institutions in 1 country.

Aditi DagaDepartment of Microbiology, MVM Science College, Saurashtra University, Rajkot, Gujarat, India.
Afzal AnsariBIT Virtual Institute of Bioinformatics (GCRI Node), GSBTM, Gandhinagar, Gujarat, India.
Rakesh RawalDepartment of Cancer Biology, The Gujarat Cancer & Research Institute, Ahmedabad, Gujarat, India.
Valentina UmraniaDepartment of Microbiology, MVM Science College, Saurashtra University, Rajkot, Gujarat, India.
Saurashtra University · INGujarat Cancer & Research Institute · INInstitute of Bioinformatics · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal translocations that results in formation and activation of fusion oncogenes are observed in numerous solid malignancies since years back. Expression of fusion kinases in these cancers drives the initiation & progression that ultimately leads to tumour development and thus comes out to be clinically imperative in terms of diagnosis and treatment of cancer. Nonetheless, molecular mechanisms beneath these translocations remained unexplored consequently limiting our knowledge of carcinogenesis and hence is the current field where further research is required. The issue of prime focus is the precision with which the chromosomes breaks and reunites within genome. Characterization of Genomic sequences located at Breakpoint region may direct us towards the thorough understanding of mechanism leading to chromosomal rearrangement. A unique computational multi-parametric analysis was performed for characterization of genomic sequence within and around breakpoint region. This study turns out to be novel as it reveals the occurrence of Segmental Duplications flanking the breakpoints of all translocation. Breakpoint Islands were also investigated for the presence of other intricate genomic architecture and various physico-chemical parameters. Our study particularly highlights the probable role of SDs and specific genomic features in precise chromosomal breakage. Additionally, it pinpoints the potential features that may be significant for double-strand breaks leading to chromosomal rearrangements.

Indexed as

Breakpointchromosomal translocationsfusion proteinphysico-chemical parameterssegmental duplicationsolid tumours

Identifiers

PMID25972994
PMCPMC4421838
OpenAlexW2119831556

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.