Evidence map›Paper›PMID 34707120›Full record

ArticleScientific reports2021

Structural and functional analysis of somatic coding and UTR indels in breast and lung cancer genomes.

Jing Chen, Jun-Tao Guo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Jing ChenDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
Jun-Tao GuoDepartment of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA. jguo4@uncc.edu.
University of North Carolina at Charlotte · US

Funding

Investigation of ssDNA binding proteins and protein-ssDNA interactionsR15GM132846 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHARLOTTE · PI GUO, JUN-TAO · 2021 to 2021
$436k
NIGMS NIH HHS R15 GM132846NIH HHS R15GM132846
6 · The paper itself

Abstract

Insertions and deletions (Indels) represent one of the major variation types in the human genome and have been implicated in diseases including cancer. To study the features of somatic indels in different cancer genomes, we investigated the indels from two large samples of cancer types: invasive breast carcinoma (BRCA) and lung adenocarcinoma (LUAD). Besides mapping somatic indels in both coding and untranslated regions (UTRs) from the cancer whole exome sequences, we investigated the overlap between these indels and transcription factor binding sites (TFBSs), the key elements for regulation of gene expression that have been found in both coding and non-coding sequences. Compared to the germline indels in healthy genomes, somatic indels contain more coding indels with higher than expected frame-shift (FS) indels in cancer genomes. LUAD has a higher ratio of deletions and higher coding and FS indel rates than BRCA. More importantly, these somatic indels in cancer genomes tend to locate in sequences with important functions, which can affect the core secondary structures of proteins and have a bigger overlap with predicted TFBSs in coding regions than the germline indels. The somatic CDS indels are also enriched in highly conserved nucleotides when compared with germline CDS indels.

Indexed as

Adenocarcinoma of LungBreast NeoplasmsINDEL MutationLung NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansOpen Reading FramesTranscription FactorsUntranslated RegionsTranscription FactorsUntranslated Regions

Identifiers

PMID34707120
PMCPMC8551294
OpenAlexW3210523605

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.