Evidence map›Paper›PMID 37227514›Full record

ArticleFunctional & integrative genomics2023

BCLncRDB: a comprehensive database of LncRNAs associated with breast cancer.

Swapnil Kumar, Avantika Agrawal, Vaibhav Vindal

RetractedAbstract readRetracted Publication
PubMed Publisher
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Swapnil Kumar *Department of Biotechnology & Bioinformatics, School of Life Sciences, South Campus, University of Hyderabad, Prof. C. R. Rao Road, Gachibowli, Hyderabad, 500046, India.
Avantika Agrawal *Department of Biotechnology & Bioinformatics, School of Life Sciences, South Campus, University of Hyderabad, Prof. C. R. Rao Road, Gachibowli, Hyderabad, 500046, India.
Vaibhav VindalDepartment of Biotechnology & Bioinformatics, School of Life Sciences, South Campus, University of Hyderabad, Prof. C. R. Rao Road, Gachibowli, Hyderabad, 500046, India. vaibhav@uohyd.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer, the most common cancer in women, is characterized by high morbidity and mortality worldwide. Recent evidence has shown that long non-coding RNAs (lncRNAs) play a crucial role in the development and progression of breast cancer. However, despite increasing data and evidence indicating the implication of lncRNAs in breast cancer, no web resource or database exists primarily for lncRNAs associated with only breast cancer. Therefore, we developed a manually curated, comprehensive database, "BCLncRDB," for lncRNAs associated with breast cancer. For this, we collected, processed, and analyzed available data on breast cancer-associated lncRNAs from different sources, including previously published research articles, the Gene Expression Omnibus (GEO) Database of the National Centre for Biotechnology Information (NCBI), The Cancer Genome Atlas (TCGA), and the Ensembl database; subsequently, these data were hosted at BCLncRDB for public access. Currently, the database contains 5324 unique breast cancer-lncRNA associations and has the following features: (i) a user-friendly, easy-to-use web interface for searching and browsing about lncRNAs of the user's interest, (ii) differentially expressed and methylated lncRNAs, (iii) stage- and subtype-specific lncRNAs, and (iv) drugs, subcellular localization, sequence, and chromosome information of these lncRNAs. Thus, the BCLncRDB provides a one-stop dedicated platform for exploring breast cancer-related lncRNAs to advance and support the ongoing research on this disease. The BCLncRDB is publicly available for use at http://sls.uohyd.ac.in/new/bclncrdb_v1 .

Indexed as

Breast NeoplasmsRNA, Long NoncodingFemaleHumansRNA, Long NoncodingBreast cancer subtypesChromosomal informationLong non-coding RNAsStage-specificSubcellular localizationSubtype-specific

Identifiers

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.