Evidence map›Paper›PMID 23884293›Full record

ArticleScientific reports2013

Novel insights into breast cancer genetic variance through RNA sequencing.

Anelia Horvath, Suresh Babu Pakala, Prakriti Mudvari, Sirigiri Divijendra Natha Reddy, Kazufumi Ohshiro, Sandra Casimiro, Ricardo Pires, Suzanne A W Fuqua, Masakazu Toi, Luis Costa and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

47 citing papers in PubMed, 72 citations in OpenAlex.

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  14. iScience · 2021
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  20. Streamlining Quantitative Analysis of Long RNA Sequencing Reads.International journal of molecular sciences · 2020
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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

13 authors at 7 institutions in 4 countries.

Anelia HorvathMcCormick Genomic and Proteomics Center, Washington, District of Columbia 20037, USA.
Suresh Babu Pakala
Prakriti Mudvari
Sirigiri Divijendra Natha Reddy
Kazufumi Ohshiro
Sandra Casimiro
Ricardo Pires
Suzanne A W Fuqua
Masakazu Toi
Luis Costa
Sujit S Nair
Saraswati Sukumar
Rakesh Kumar
George Washington University · USHospital de Santa Maria · PTMcCormick (United States) · USBaylor College of Medicine · USKyoto University · JPRajiv Gandhi Centre for Biotechnology · INSidney Kimmel Comprehensive Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using RNA sequencing of triple-negative breast cancer (TNBC), non-TBNC and HER2-positive breast cancer sub-types, here we report novel expressed variants, allelic prevalence and abundance, and coexpression with other variation, and splicing signatures. To reveal the most prevalent variant alleles, we overlaid our findings with cancer- and population-based datasets and validated a subset of novel variants of cancer-related genes: ESRP2, GBP1, TPP1, MAD2L1BP, GLUD2 and SLC30A8. As a proof-of-principle, we demonstrated that a rare substitution in the splicing coordinator ESRP2 (R353Q) impairs its ability to bind to its substrate FGFR2 pre-mRNA. In addition, we describe novel SNPs and INDELs in cancer relevant genes with no prior reported association of point mutations with cancer, such as MTAP and MAGED1. For the first time, this study illustrates the power of RNA-sequencing in revealing the variation landscape of breast transcriptome and exemplifies analytical strategies to search regulatory interactions among cancer relevant molecules.

Indexed as

Genetic VariationAllelesBreast NeoplasmsComputational BiologyFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene FrequencyGenome-Wide Association StudyGenomicsGenotypeHigh-Throughput Nucleotide SequencingHumansMutationPolymorphism, Single NucleotideRNA PrecursorsRNA PrecursorsTPP1 protein, humanTripeptidyl-Peptidase 1

Identifiers

PMID23884293
PMCPMC3722564
OpenAlexW2154686512

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.