Evidence map›Paper›PMID 36561320›Full record

ArticleFrontiers in genetics2022

Analysis of single-nucleotide polymorphisms in genes associated with triple-negative breast cancer.

Vigneshwaran G, Qurratulain Annie Hasan, Rahul Kumar, Avinash Eranki

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2022. 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
0.3field-weighted citation impact, top 43% 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, 4 citations in OpenAlex.

  1. Article
  2. The Genomic and Biologic Landscapes of Breast Cancer and Racial Differences.International journal of molecular sciences · 2024
    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

4 authors at 2 institutions in 1 country.

Vigneshwaran GDepartment of Biomedical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India.
Qurratulain Annie HasanDepartment of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, Telangana, India.
Rahul KumarDepartment of Biotechnology, Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India.
Avinash ErankiDepartment of Biomedical Engineering, Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India.
Indian Institute of Technology Hyderabad · INKamineni Hospitals · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is a rare variant of breast cancer (BC) known to be aggressive and refractory. TNBC lacks effective early diagnostic and therapeutic options leading to poorer outcomes. The genomic landscape and alterations leading to BC and TNBC are vast and unclear. Single nucleotide polymorphisms (SNPs) are a widespread form of genetic alterations with a multi-faceted impact on multiple diseases, including BC and TNBC. In this study, we attempted to construct a framework that could identify genes associated with TNBC and screen the SNPs reported in these genes using a set of computational predictors. This framework helped identify

Indexed as

computational biologyinsilicooncogenomicssingle nucleotide polymorphismtriple negative breast cancer

Identifiers

PMID36561320
PMCPMC9763624
OpenAlexW4311630978

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.