Evidence map›Paper›PMID 35284049›Full record

ArticleComputational and structural biotechnology journal2022

SDC: An integrated database for sex differences in cancer.

Long-Fei Zhao, Jin-Ge Zhang, Feng-Yu Qi, Wei-Yan Hou, Yin-Rui Li, Dan-Dan Shen, Li-Juan Zhao, Lin Qi, Hong-Min Liu, Yi-Chao Zheng

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. 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
1.0field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. ZNF197-AS1/miR-425/GABARAPL1 axis: a novel regulatory mechanism in uveal melanoma.American journal of physiology. Cell physiology · 2024
    Article
  3. 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

10 authors at 1 institution in 1 country.

Long-Fei ZhaoKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Jin-Ge ZhangKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Feng-Yu QiKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Wei-Yan HouSchool of Information Engineering, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Yin-Rui LiKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Dan-Dan ShenKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Li-Juan ZhaoKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Lin QiSchool of Information Engineering, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Hong-Min LiuKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Yi-Chao ZhengKey Lab of Advanced Drug Preparation Technologies, Ministry of Education of China, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan 450001, China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex differences are evident in the incidence and mortality of diverse cancers. With the development of personalized approaches in cancer treatment, the impact of sex differences has not been systematically incorporated into preclinical and clinical cancer research. The molecular mechanisms underlying sex differences in cancer have not been elucidated. Here, we developed the first database of Sex Differences in Cancer (SDC), a web-based public database that integrates resources from multiple databases, including The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression Project (GTEx), UCSC Xena, Broad Institute Cancer Cell Line Encyclopedia (CCLE), Genomics of Drug Sensitivity in Cancer (GDSC). SDC contains 27 types of cancers, 6 types of molecular data, more than 10,000 donors, 977 cancer cell lines were used to analyze sex differences among cancers. It provides five main modules: Survival and phenotype, Molecular differences, Signatures and pathways, Therapy response, Download. Users can download the all the visualized results and raw data after analysis. Collectively, SDC is the first integrated database to analyze sex differences in cancer on the web server, which will strengthen our understanding of the role of sex in cancers. It is implemented in Shiny-server and freely available for public use at http://sdc.anticancer.xyz.

Indexed as

CancerDatabaseDifferencesSex

Identifiers

PMID35284049
PMCPMC8897669
OpenAlexW4214480352

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.