Evidence map›Paper›PMID 30376049›Full record

ArticleDatabase : the journal of biological databases and curation2018

RTPDB: a database providing associations between genetic variation or expression and cancer prognosis with radiotherapy-based treatment.

Cheng-Dong Zhang, Yuan Yang, Huan-Huan Chen, Ting Zhang, Qiang Wang, Yuan Liang, Liang Zhang, Yan Zhou

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. MIKB: A manually curated and comprehensive knowledge base for myocardial infarction.Computational and structural biotechnology journal · 2021
    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

8 authors.

Cheng-Dong ZhangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
Yuan YangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
Huan-Huan ChenSchool of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Ting ZhangSchool of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Qiang WangSchool of Mathematics and Physics, Anhui University of Technology, Maanshan, Anhui, China.
Yuan LiangState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.
Liang ZhangShanghai-MOST Key Laboratory of Health and Disease Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China.
Yan ZhouState Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, lots of studies have reported the relationship between genetic variation or expression and cancer prognosis with radiotherapy-based treatment. However, due to limitation in available journals or literature database, inconsistent nomenclature system of genetic variation and cancer and time-consuming investigation on literature searching and reading, considerable researches could hardly get found and cited. In this study, we constructed the Radiotherapy Prognosis Database (RTPDB), which contains a comprehensive resource about genes and related cancer prognosis. It included 775 studies, which consist of 275 Single Nucleotide Polymorphism (SNP) studies with 59 765 patients, 261 genes, 708 SNPs, 16 tumors and 16 treatment types, and 500 expression studies with 55 751 patients, 264 genes, 27 tumors and 15 treatment types. The names of genes and their variants were converted and displayed in the form of the official symbol. The detailed information of the tumor, treatment and prognosis were classified. We hope RTPDB will be a useful resource with great potential for researches on genes, variants and cancer prognosis.

Indexed as

Databases, FactualGene Expression Regulation, NeoplasticGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationHumansInternetNeoplasmsPolymorphism, Single NucleotidePrognosisUser-Computer Interface

Identifiers

PMID30376049
PMCPMC6206893

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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.